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1

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

2

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

3

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 ...

4

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

5

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

6

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...

7

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

8

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

9

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.

10

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

11

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....

12

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

13

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

14

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

15

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...

16

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...

17

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

18

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

19

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

20

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

Note: This page contains sample records for the topic "industrial sector output" 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

EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...  

Gasoline and Diesel Fuel Update (EIA)

e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

22

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

23

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

24

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

25

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

26

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

27

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

28

SAS Output  

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

B. Landfill Gas: Consumption for Useful Thermal Output, B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 993 0 116 0 876 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2010 January 118 0 83 30 5 February 110 0 79 27 5 March 132 0 94 32 6 April 131 0 93 33 6 May 132 0 92 34 6 June 139 0 104 30 5 July 140 0 102 33 5 August 132 0 95 32 5 September 148 0 113 30 5

29

SAS Output  

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

B. Petroleum Coke: Consumption for Useful Thermal Output, B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 517 0 111 6 399 2003 763 0 80 9 675 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2010 January 92 0 10 1 81 February 93 0 10 1 82 March 84 0 12 1 71 April 76 0 9 1 66 May 84 0 10 0 75 June 93 0 8 0 86 July 89 0 8 0 80 August 87 0 2 1 84 September 82 0 2 1 79

30

SAS Output  

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

F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 193,120 57,296 105,416 227 30,182 2003 197,827 69,695 92,384 309 35,440 2004 245,389 116,086 90,747 259 38,297 2005 256,441 115,727 111,098 260 29,356 2006 246,687 102,117 98,314 269 45,987 2007 208,198 77,941 81,845 348 48,064 2008 180,034 64,843 79,856 280 35,055 2009 166,449 77,919 52,428 245 35,856 2010 173,078 94,331 41,090 340 37,317 2011 176,349 99,257 40,167 173 36,752 2012 144,266 60,862 24,925 353 58,126 2010 January 14,949 7,995 3,716 38 3,199

31

SAS Output  

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

C. Coal: Consumption for Electricity Generation and Useful Thermal Output, C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,005,144 767,803 209,703 1,405 26,232 2003 1,031,778 757,384 247,732 1,816 24,846 2004 1,044,798 772,224 244,044 1,917 26,613 2005 1,065,281 761,349 276,135 1,922 25,875 2006 1,053,783 753,390 273,246 1,886 25,262 2007 1,069,606 764,765 280,377 1,927 22,537 2008 1,064,503 760,326 280,254 2,021 21,902 2009 955,190 695,615 238,012 1,798 19,766 2010 1,001,411 721,431 253,621 1,720 24,638 2011 956,470 689,316 243,168 1,668 22,319 2012 845,066 615,467 208,085 1,450 20,065

32

SAS Output  

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

E. Landfill Gas: Consumption for Useful Thermal Output, E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 500 0 61 0 439 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2010 January 61 0 44 14 3 February 58 0 42 13 3 March 67 0 49 15 3 April 67 0 49 15 3 May 68 0 49 16 3 June 73 0 56 14 3 July 73 0 55 16 2 August 69 0 52 15 3 September 79 0 62 14 3 October 75 0 59 14 2

33

SAS Output  

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

B. Coal: Consumption for Useful Thermal Output, B. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 17,561 0 2,255 929 14,377 2003 17,720 0 2,080 1,234 14,406 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584 2012 19,333 0 2,790 1,143 15,400 2010 January 1,972 0 371 160 1,440 February 1,820 0 347 139 1,334 March 1,839 0 338 123 1,378 April 2,142 0 284 95 1,764

34

SAS Output  

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

E. Other Waste Biomass: Consumption for Useful Thermal Output, E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 29,854 0 10,655 757 18,442 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0 6,460 1,566 35,458 2012 46,863 0 6,914 1,796 38,153 2010 January 4,885 0 1,088 137 3,661 February 4,105 0 943 137 3,025 March 4,398 0 845 136 3,417 April 4,224 0 399 138 3,688

35

SAS Output  

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

E. Petroleum Coke: Consumption for Useful Thermal Output, E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 14,395 0 3,192 179 11,024 2003 21,170 0 2,282 244 18,644 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012 38,777 0 3,281 315 35,181 2010 January 2,683 0 285 33 2,365 February 2,770 0 302 29 2,439 March 2,424 0 338 36 2,050 April 2,257 0 255 22 1,980

36

SAS Output  

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

F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 64,629 2,456 26,514 5,323 30,337 2004 49,443 2,014 21,294 6,935 19,201 2005 55,862 2,485 17,640 6,763 28,974 2006 54,693 2,611 16,348 6,755 28,980 2007 60,840 2,992 19,155 6,692 32,001 2008 66,139 3,409 22,419 5,227 35,085 2009 66,658 3,679 23,586 5,398 33,994 2010 77,150 3,668 22,884 5,438 45,159 2011 74,255 4,488 22,574 5,382 41,810 2012 77,205 4,191 22,654 5,812 44,548 2010 January 7,109 189 2,166 458 4,295 February 6,441 275 2,151 429 3,586

37

SAS Output  

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

F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,135,572 2,307,358 3,481,961 75,985 1,270,268 2003 6,498,549 1,809,003 3,450,177 60,662 1,178,707 2004 6,912,661 1,857,247 3,749,945 73,744 1,231,725 2005 7,220,520 2,198,098 3,837,717 69,682 1,115,023 2006 7,612,500 2,546,169 3,847,644 69,401 1,149,286 2007 8,181,986 2,808,500 4,219,827 71,560 1,082,099 2008 7,900,986 2,803,283 4,046,069 67,571 984,062 2009 8,138,385 2,981,285 4,062,633 77,077 1,017,390 2010 8,694,186 3,359,035 4,191,241 87,357 1,056,553

38

SAS Output  

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

B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 1,358 0 311 865 182 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190 2010 January 191 0 69 107 14 February 178 0 61 106 11 March 204 0 66 126 12 April 207 0 67 127 13 May 249 0 67 167 15 June 204 0 69 120 14 July 194 0 68 115 11

39

SAS Output  

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

C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 137,414 9,168 122,100 3,280 2,865 2004 146,018 11,250 126,584 4,091 4,093 2005 143,822 11,490 124,030 5,232 3,070 2006 162,084 16,617 136,632 7,738 1,096 2007 168,762 17,442 144,490 5,699 1,131 2008 196,802 20,465 170,001 5,668 668 2009 207,585 19,583 181,234 6,106 661 2010 219,954 19,975 193,623 5,905 451 2011 235,990 22,086 183,609 29,820 474 2012 259,564 25,193 204,753 27,012 2,606 2010 January 17,649 1,715 15,406 491 37 February 16,300 1,653 14,198 410 38

40

SAS Output  

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

C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,353 2,125 3,691 8 1,529 2003 7,067 2,554 3,245 11 1,257 2004 8,721 4,150 3,223 9 1,339 2005 9,113 4,130 3,953 9 1,020 2006 8,622 3,619 3,482 10 1,511 2007 7,299 2,808 2,877 12 1,602 2008 6,314 2,296 2,823 10 1,184 2009 5,828 2,761 1,850 9 1,209 2010 6,053 3,325 1,452 12 1,264 2011 6,092 3,449 1,388 6 1,248 2012 5,021 2,105 869 13 2,034 2010 January 525 283 130 1 110 February 497 258 131 1 106 March 522 308 119 1 94

Note: This page contains sample records for the topic "industrial sector output" 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

SAS Output  

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

E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 13,694 0 3,118 8,858 1,718 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0 5,807 9,731 1,227 2012 16,310 0 4,180 10,615 1,515 2010 January 1,476 0 518 851 107 February 1,365 0 444 835 86 March 1,572 0 486 992 93 April 1,598 0 495 1,003 100

42

SAS Output  

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

B. Petroleum Liquids: Consumption for Useful Thermal Output, B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 12,228 0 286 384 11,558 2003 14,124 0 1,197 512 12,414 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012 3,097 0 992 122 1,984 2010 January 606 0 105 31 470 February 504 0 78 26 401 March 335 0 46 7 281 April 355 0 86 9 260 May 340 0 93 14 232

43

SAS Output  

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

E. Natural Gas: Consumption for Useful Thermal Output, E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 885,987 0 267,675 45,359 572,953 2003 762,779 0 250,120 21,238 491,421 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001 486,274 2011 861,006 0 315,411 40,976 504,619 2012 909,087 0 330,354 48,944 529,788 2010 January 74,586 0 27,368 4,148 43,070 February 65,539 0 24,180 3,786 37,573

44

SAS Output  

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

E. Petroleum Liquids: Consumption for Useful Thermal Output, E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 76,737 0 1,669 3,276 71,788 2003 85,488 0 6,963 3,176 75,349 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927 1,039 15,833 2012 18,233 0 5,871 746 11,616 2010 January 3,648 0 614 190 2,843 February 3,027 0 422 157 2,447 March 2,015 0 272 43 1,699

45

SAS Output  

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

C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 146,643 88,595 39,320 1,210 17,517 2003 189,260 105,319 62,617 1,394 19,929 2004 185,761 103,793 57,843 1,963 22,162 2005 185,631 98,223 63,546 1,584 22,278 2006 87,898 53,529 18,332 886 15,150 2007 95,895 56,910 24,097 691 14,198 2008 61,379 38,995 14,463 621 7,300 2009 51,690 31,847 11,181 477 8,185 2010 44,968 30,806 9,364 376 4,422 2011 31,152 20,844 6,637 301 3,370 2012 25,702 17,521 5,102 394 2,685 2010 January 6,193 4,381 1,188 48 576

46

SAS Output  

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

E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 682,060 0 9,585 727 671,747 2003 746,375 0 10,893 762 734,720 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357 1,064 856,620 2011 893,314 0 16,577 1,022 875,716 2012 883,158 0 19,251 949 862,958 2010 January 73,418 0 1,677 91 71,651 February 67,994 0 1,689 81 66,224

47

SAS Output  

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

F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 66,270 3,930 59,149 1,753 1,438 2004 70,489 5,373 60,929 2,098 2,089 2005 68,897 5,650 59,144 2,571 1,532 2006 77,004 8,287 64,217 3,937 563 2007 80,697 8,620 68,657 2,875 544 2008 94,768 10,242 81,300 2,879 346 2009 100,261 9,748 87,086 3,089 337 2010 106,681 10,029 93,405 3,011 236 2011 114,173 11,146 91,279 11,497 251 2012 125,927 12,721 101,379 10,512 1,315 2010 January 8,502 853 7,379 251 19 February 7,882 830 6,823 209 20

48

SAS Output  

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

F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 912,218 553,390 243,561 7,229 108,031 2003 1,174,795 658,868 387,341 8,534 120,051 2004 1,156,763 651,712 358,685 11,763 134,603 2005 1,160,733 618,811 395,489 9,614 136,820 2006 546,529 335,130 112,052 5,444 93,903 2007 595,191 355,999 147,579 4,259 87,354 2008 377,848 242,379 87,460 3,743 44,266 2009 315,420 196,346 66,834 2,903 49,336 2010 273,357 188,987 55,444 2,267 26,660 2011 186,753 125,755 39,093 1,840 20,066 2012 153,189 105,179 29,952 2,364 15,695

49

SAS Output  

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

B. Natural Gas: Consumption for Useful Thermal Output, B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 860,024 0 263,619 41,435 554,970 2003 721,267 0 225,967 19,973 475,327 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769 46,324 473,683 2011 839,681 0 308,669 39,856 491,155 2012 886,103 0 322,607 47,883 515,613 2010 January 72,867 0 26,791 4,086 41,990

50

SAS Output  

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

E. Coal: Consumption for Useful Thermal Output, E. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 421,084 0 50,041 23,099 347,944 2003 416,700 0 47,817 28,479 340,405 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011 479,822 0 84,855 28,056 366,911 2012 420,923 0 58,275 23,673 338,975 2010 January 44,514 0 8,627 3,445 32,442 February 40,887 0 8,041 3,024 29,823

51

SAS Output  

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

F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,287,114 10,659 139,532 1,196 1,135,727 2003 1,265,669 16,545 150,745 1,199 1,097,180 2004 1,360,258 19,973 145,216 1,661 1,193,408 2005 1,352,582 27,373 157,600 1,235 1,166,373 2006 1,399,235 27,455 154,360 1,314 1,216,106 2007 1,335,511 31,568 154,388 2,040 1,147,516 2008 1,262,675 29,150 148,198 1,410 1,083,917 2009 1,136,729 29,565 150,481 1,408 955,276 2010 1,225,571 40,167 155,429 1,338 1,028,637 2011 1,240,937 35,474 146,684 1,504 1,057,275

52

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

53

Analytical input-output and supply chain study of China's coke and steel sectors  

E-Print Network (OSTI)

I design an input-output model to investigate the energy supply chain of coal-coke-steel in China. To study the demand, supply, and energy-intensity issues for coal and coke from a macroeconomic perspective, I apply the ...

Li, Yu, 1976-

2004-01-01T23:59:59.000Z

54

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

55

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:

56

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...

57

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

58

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

59

SAS Output  

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

F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 161,803 5,766 132,065 21,953 2,020 2004 161,567 3,705 129,562 25,204 3,096 2005 164,635 4,724 131,080 24,914 3,918 2006 168,716 4,078 135,127 25,618 3,893 2007 162,482 4,557 133,509 21,393 3,022 2008 166,723 4,476 136,080 26,108 59 2009 165,755 3,989 132,877 27,868 1,021 2010 162,436 3,322 130,467 27,509 1,138 2011 152,007 3,433 121,648 25,664 1,262 2012 152,045 3,910 117,598 28,923 1,614 2010 January 13,015 244 10,405 2,260 107

60

SAS Output  

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

C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 22,554 695 18,611 2,952 296 2004 22,330 444 17,959 3,439 488 2005 22,089 560 17,655 3,289 584 2006 22,469 500 18,068 3,356 545 2007 21,796 553 17,885 2,921 437 2008 22,134 509 18,294 3,323 8 2009 22,095 465 17,872 3,622 137 2010 21,725 402 17,621 3,549 152 2011 19,016 388 15,367 3,103 158 2012 18,954 418 14,757 3,577 203 2010 January 1,737 30 1,402 291 14 February 1,562 25 1,276 250 11 March 1,854 36 1,500 306 12

Note: This page contains sample records for the topic "industrial sector output" 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

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....

62

EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries, 1998,  

Gasoline and Diesel Fuel Update (EIA)

e e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 417 444 526 312 Beverage and Tobacco Product Manufacturing 114 128 144 313 Textile Mills 57 45 38 314 Textile Product Mills 31 30 32 315 Apparel Manufacturing 63 40 26 316 Leather and Allied Product Manufacturing 10 6 6 321 Wood Product Manufacturing 91 88 111 322 Paper Manufacturing 153 151 167 323 Printing and Related Support Activities 99 95 99 324 Petroleum and Coal Products Manufacturing 135 212 530 325 Chemical Manufacturing 407 444 639 326 Plastics and Rubber Products Manufacturing 162 169 208 327 Nonmetallic Mineral Product Manufacturing 91 94 126 331 Primary Metal Manufacturing 166 139 230 332 Fabricated Metal Product Manufacturing

63

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

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...

1999-11-30T23:59:59.000Z

65

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 ...

66

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

67

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

68

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

69

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

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

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

72

An Input-Output Analysis of the Relationships between Communications and Travel for Industry  

E-Print Network (OSTI)

Industrial machinery manufacturing Commercial and service industry machinery HVAC and commercial refrigeration

Lee, Taihyeong; Mokhtarian, Patricia L

2004-01-01T23:59:59.000Z

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

An Input-Output Analysis of the Relationships Between Communications and Travel for Industry  

E-Print Network (OSTI)

Make of Commodities by Industries 2. The Use of Industriesrelationships in industry. Transportation Research A 31A(for Classification of Industries in 1997 B. Comparison of

Lee, Taihyeong; Mokhtarian, Patricia L.

2004-01-01T23:59:59.000Z

75

An Input-Output Analysis of the Relationships between Communications and Travel for Industry  

E-Print Network (OSTI)

for Spreadsheets in Excel (sample year 1992) Industry94 Industry Category 29 Direct I-O Coefficients (97 by 94)Make of Commodities by Industries 2. The Use of Industries

Lee, Taihyeong; Mokhtarian, Patricia L

2004-01-01T23:59:59.000Z

76

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

77

Analytical input-output and supply chain study of China's coke and steel sectors; Analytical I/O and supply chain study of China's coke and steel sectors.  

E-Print Network (OSTI)

??I design an input-output model to investigate the energy supply chain of coal-coke-steel in China. To study the demand, supply, and energy-intensity issues for coal… (more)

Li, Yu, 1976-

2004-01-01T23:59:59.000Z

78

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

79

An Input-Output Analysis of the Relationships Between Communications and Travel for Industry  

E-Print Network (OSTI)

Industrial machinery manufacturing 50 and52* 50 and52* 50 and52* Commercial and service industry machinery HVAC and commercial refrigeration

Lee, Taihyeong; Mokhtarian, Patricia L.

2004-01-01T23:59:59.000Z

80

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

Note: This page contains sample records for the topic "industrial sector output" 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

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

82

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

83

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

84

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

85

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

86

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

87

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

88

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

89

SAS Output  

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

by Sector, 2002 through 2011 Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2002 1,205 1,720 700 -- 3,625 2003 855...

90

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

91

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

92

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

93

SAS Output  

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

4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" 4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" "(dollars per short ton)" ,2012,,,,2011,,,,"Annual Percent Change" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial" "and State","Power1","Industrial",,"and","Power1","Industrial",,"and","Power1","Industrial",,"and" ,,,,"Institutional",,,,"Institutional",,,,"Institutional" "New England",88.32,165.17,"-","-",87.62,"w","-","-",0.8,"w","-","-"

94

Robust Output Feedback Stabilization of Nonlinear Interconnected Systems with Application to an Industrial Utility Boiler  

E-Print Network (OSTI)

to an Industrial Utility Boiler Adarsha Swarnakar, Horacio Jose Marquez and Tongwen Chen Abstract-- This paper boiler (Utility boiler), where the nonlinear model describes the complicated dynamics of the drum

Marquez, Horacio J.

95

SAS Output  

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

1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 56 121 -54% 0 0 0 94 0 0 56 27

96

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

97

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

98

SAS Output  

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

U.S. Coal Consumption by End-Use Sector, 2007 - 2013" U.S. Coal Consumption by End-Use Sector, 2007 - 2013" "(thousand short tons)" ,,,"Other Industrial",,,"Commercial and Institutional" "Year and","Electric","Coke","CHP2","Non-","Total","CHP4","Non-","Total","Total" "Quarter","Power","Plants",,"CHP3",,,"CHP5" ,"Sector1" 2007 " January - March",257516,5576,5834,8743,14578,547,510,1058,278727 " April - June",246591,5736,5552,8521,14074,426,279,705,267106 " July - September",283556,5678,5546,8180,13725,458,247,705,303665 " October - December",257478,5726,5605,8634,14238,495,563,1058,278500

99

SAS Output  

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

4. Existing Capacity by Producer Type, 2012 (Megawatts) 4. Existing Capacity by Producer Type, 2012 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,624 680,592 621,785 644,358 Independent Power Producers, Non-Combined Heat and Power Plants 6,148 412,045 374,964 389,349 Independent Power Producers, Combined Heat and Power Plants 609 39,916 35,266 38,023 Total 16,381 1,132,554 1,032,015 1,071,729 Commercial and Industrial Sectors Commercial Sector 962 3,610 3,223 3,349 Industrial Sector 1,680 31,832 27,795 29,381 Total 2,642 35,442 31,018 32,730 All Sectors Total 19,023 1,167,995 1,063,033 1,104,459 Notes: In 2011, EIA corrected the NAICS codes of several plants which resulted in a net capacity shift from the electric utility sector to the commercial sector.

100

SAS Output  

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

7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" 7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" "(thousand short tons)" ,2012,,,,,2011,,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Producer","Electric","Other","Coke","Commercial","Producer",2012,2011,"Percent" "and State","Power1","Industrial",,"and","and","Power1","Industrial",,"and","and",,,"Change" ,,,,"Institutional","Distributor",,,,"Institutional","Distributor" "New England",1030,13,"-","-","-",1389,"w","-","-","-",1042,"w","w"

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101

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

102

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

103

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

104

SAS Output  

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

9. Consumption of Coal for Electricity Generation by State by Sector, 9. Consumption of Coal for Electricity Generation by State by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 1,787 2,998 -40% 520 898 1,257 2,087 0 0 10 12 Connecticut 297 317 -6.5% 0 0 297 317 0 0 0 0 Maine 11 14 -18% 0 0 6 7 0 0 5 6 Massachusetts 959 1,769 -46% 0 0 954 1,763 0 0 5 6 New Hampshire 520 898 -42% 520 898 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 44,000 53,658 -18% 6 16 43,734 53,052 4 1 256 589

105

SAS Output  

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

3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 9,595 9,945 -3.5% 0 0 9,074 9,945 520 0 0 0 Connecticut 595 624 -4.6% 0 0 595 624 0 0 0 0 Maine 518 524 -1.0% 0 0 518 524 0 0 0 0 Massachusetts 3,603 3,623 -0.6% 0 0 3,603 3,623 0 0 0 0 New Hampshire 1,790 1,485 21% 0 0 1,270 1,485 520 0 0 0 Rhode Island 2,409 3,037 -21% 0 0 2,409 3,037 0 0 0 0

106

SAS Output  

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

4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,041 4,122 -2.0% 0 0 3,838 3,922 203 200 0 0 Connecticut 1,415 1,442 -1.9% 0 0 1,415 1,442 0 0 0 0 Maine 440 445 -1.3% 0 0 237 246 203 200 0 0 Massachusetts 2,017 2,063 -2.2% 0 0 2,017 2,063 0 0 0 0 New Hampshire 169 172 -2.0% 0 0 169 172 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0

107

SAS Output  

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

2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 460,887 461,590 -0.2% 3,652 4,218 428,781 432,350 8,630 6,287 19,824 18,735 Connecticut 120,380 110,546 8.9% 69 730 113,620 105,965 3,952 2,061 2,739 1,790 Maine 44,424 49,352 -10% 0 0 28,456 33,555 307 12 15,662 15,785 Massachusetts 184,330 190,063 -3.0% 2,792 2,393 176,497 182,865 3,749 3,761 1,293 1,045 New Hampshire 50,678 46,927 8.0% 754 1,046 49,655 45,765 139 0 131 115

108

Table 8.3c Useful Thermal Output at Combined-Heat-and-Power ...  

U.S. Energy Information Administration (EIA)

Table 8.3c Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.3a; Trillion ...

109

SAS Output  

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

D. Petroleum Liquids: Consumption for Electricity Generation, D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 835,481 553,390 241,892 3,953 36,243 2003 1,089,307 658,868 380,378 5,358 44,702 2004 1,031,954 651,712 350,093 4,544 25,606 2005 1,035,045 618,811 387,355 3,469 25,410 2006 459,392 335,130 105,312 1,963 16,987 2007 512,423 355,999 139,977 1,505 14,942 2008 332,367 242,379 79,816 957 9,215 2009 266,508 196,346 59,277 1,101 9,784 2010 244,114 188,987 49,042 970 5,115 2011 163,954 125,755 33,166 801 4,233 2012 134,956 105,179 24,081 1,618 4,078 2010 January 33,737 26,715 6,282 100 639

110

SAS Output  

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

D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 605,054 10,659 129,947 469 463,980 2003 519,294 16,545 139,852 437 362,460 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010 349,530 40,167 137,072 274 172,016 2011 347,623 35,474 130,108 482 181,559 2012 390,342 32,723 138,217 478 218,924 2010 January 29,578 3,731 11,954 23 13,870

111

SAS Output  

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

A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 21,196 695 18,300 2,087 115 2004 19,587 444 17,308 1,811 24 2005 19,370 560 17,033 1,753 25 2006 19,629 500 17,343 1,761 25 2007 19,576 553 17,116 1,785 122 2008 19,805 509 17,487 1,809 0 2009 19,669 465 17,048 2,155 0 2010 19,437 402 16,802 2,233 0 2011 16,972 388 14,625 1,955 4 2012 16,968 418 14,235 2,304 12 2010 January 1,546 30 1,332 184 0 February 1,384 25 1,215 144 0 March 1,650 36 1,434 180 0 April 1,655 33 1,426 196 0

112

SAS Output  

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

A. Landfill Gas: Consumption for Electricity Generation, A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 136,421 9,168 121,984 3,280 1,989 2004 143,844 11,250 125,848 4,081 2,665 2005 141,899 11,490 123,064 4,797 2,548 2006 160,033 16,617 136,108 6,644 664 2007 166,774 17,442 144,104 4,598 630 2008 195,777 20,465 169,547 5,235 530 2009 206,792 19,583 180,689 5,931 589 2010 218,331 19,975 192,428 5,535 393 2011 232,795 22,086 180,856 29,469 384 2012 256,376 25,193 201,965 26,672 2,545 2010 January 17,531 1,715 15,323 461 32 February 16,189 1,653 14,120 384 33

113

SAS Output  

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

A. Petroleum Coke: Consumption for Electricity Generation, A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,836 2,125 3,580 2 1,130 2003 6,303 2,554 3,166 2 582 2004 7,677 4,150 2,985 1 541 2005 8,330 4,130 3,746 1 452 2006 7,363 3,619 3,286 1 456 2007 6,036 2,808 2,715 2 512 2008 5,417 2,296 2,704 1 416 2009 4,821 2,761 1,724 1 335 2010 4,994 3,325 1,354 2 313 2011 5,012 3,449 1,277 1 286 2012 3,675 2,105 756 1 812 2010 January 433 283 121 0.17 29 February 404 258 120 0.15 25 March 438 308 108 0.19 23 April 382 253 107 0.12 22 May 415 261 129 0 25

114

SAS Output  

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

6. Net Generation from Other Energy Sources 6. Net Generation from Other Energy Sources by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 2,153 2,019 6.7% 0 0 1,944 1,888 88 84 121 46 Connecticut 756 705 7.3% 0 0 756 704 0 0 0 1 Maine 424 390 8.7% 0 0 245 261 88 84 92 45 Massachusetts 906 860 5.5% 0 0 877 860 0 0 29 0 New Hampshire 66 64 2.6% 0 0 66 64 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 2,497 2,441 2.3% 0 0 1,924 1,975 465 344 107 122

115

SAS Output  

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

D. Landfill Gas: Consumption for Electricity Generation, D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 65,770 3,930 59,089 1,753 998 2004 69,331 5,373 60,514 2,093 1,351 2005 67,902 5,650 58,624 2,360 1,269 2006 75,970 8,287 63,950 3,388 345 2007 79,712 8,620 68,432 2,344 316 2008 94,215 10,242 81,029 2,668 276 2009 99,821 9,748 86,773 2,999 301 2010 105,835 10,029 92,763 2,837 205 2011 112,538 11,146 89,857 11,332 203 2012 124,297 12,721 99,938 10,356 1,282 2010 January 8,441 853 7,335 236 17 February 7,824 830 6,781 197 17 March 9,056 1,013 7,796 226 21

116

SAS Output  

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

D. Natural Gas: Consumption for Electricity Generation, D. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,249,585 2,307,358 3,214,286 30,626 697,315 2003 5,735,770 1,809,003 3,200,057 39,424 687,286 2004 5,827,470 1,857,247 3,351,469 33,623 585,132 2005 6,212,116 2,198,098 3,444,875 34,645 534,498 2006 6,643,926 2,546,169 3,508,597 35,473 553,687 2007 7,287,714 2,808,500 3,872,646 34,872 571,697 2008 7,087,191 2,803,283 3,712,872 34,138 536,899 2009 7,301,522 2,981,285 3,750,080 35,046 535,111 2010 7,852,665 3,359,035 3,882,995 40,356 570,279 2011 8,052,309 3,511,732 3,906,484 48,509 585,584

117

SAS Output  

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

A. Petroleum Liquids: Consumption for Electricity Generation, A. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 134,415 88,595 39,035 826 5,959 2003 175,136 105,319 61,420 882 7,514 2004 165,107 103,793 56,342 760 4,212 2005 165,137 98,223 62,154 580 4,180 2006 73,821 53,529 17,179 327 2,786 2007 82,433 56,910 22,793 250 2,480 2008 53,846 38,995 13,152 160 1,538 2009 43,562 31,847 9,880 184 1,652 2010 40,103 30,806 8,278 164 855 2011 27,326 20,844 5,633 133 716 2012 22,604 17,521 4,110 272 702 2010 January 5,587 4,381 1,083 17 106 February 2,156 1,599 454 15 88

118

SAS Output  

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

D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 148,110 5,766 128,947 13,095 302 2004 141,577 3,705 124,815 12,909 146 2005 144,339 4,724 126,529 12,923 164 2006 146,987 4,078 129,779 12,964 165 2007 146,308 4,557 127,826 13,043 881 2008 148,452 4,476 130,041 13,934 0 2009 146,971 3,989 126,649 16,333 0 2010 144,934 3,322 124,437 17,176 0 2011 135,241 3,433 115,841 15,933 34 2012 135,735 3,910 113,418 18,307 100 2010 January 11,540 244 9,886 1,410 0 February 10,313 190 9,030 1,094 0

119

SAS Output  

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

5. Net Generation from Hydroelectric (Pumped Storage) Power 5. Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England -305 -435 -29.9% 0 0 -305 -435 0 0 0 0 Connecticut 3 6 -51.5% 0 0 3 6 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts -308 -440 -30.1% 0 0 -308 -440 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic -1,022 -1,124 -9.0% -579 -630 -443 -494 0 0 0 0

120

SAS Output  

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

0. Net Generation from Natural Gas 0. Net Generation from Natural Gas by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 62,490 63,236 -1.2% 345 357 58,757 59,763 901 700 2,488 2,416 Connecticut 16,537 15,188 8.9% 6 NM 15,801 14,715 397 211 333 227 Maine 6,044 6,877 -12.1% 0 0 4,057 4,850 26 0.26 1,960 2,026 Massachusetts 24,672 25,940 -4.9% 278 240 23,812 25,120 416 443 166 136 New Hampshire 7,050 6,658 5.9% 58 80 6,947 6,552 16 0 29 26 Rhode Island 8,185 8,571 -4.5% 0 0 8,140 8,525 45 46 0 0

Note: This page contains sample records for the topic "industrial sector output" 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

SAS Output  

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

6. Net Generation 6. Net Generation by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 120,887 123,338 -2.0% 3,278 4,408 111,191 112,613 1,178 949 5,240 5,368 Connecticut 36,118 33,745 7.0% 37 93 35,347 33,208 397 211 337 233 Maine 14,429 15,974 -9.7% 0.17 1 10,186 10,890 208 176 4,035 4,907 Massachusetts 36,198 38,055 -4.9% 591 610 34,321 36,783 469 490 817 172 New Hampshire 19,264 20,066 -4.0% 2,017 2,994 17,170 17,020 49 20 29 31

122

SAS Output  

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

0. Net Generation from Solar 0. Net Generation from Solar by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 35 7 427.1% 9 4 25 2 1 1 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 30 5 521.6% 9 4 20 0.14 1 1 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 5 2 179.0% 0 0 5 2 0 0 0 0 Middle Atlantic 389 98 295.3% 41 19 303 65 37 8 8 5

123

SAS Output  

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

4. Net Generation from Renewable Sources Excluding Hydroelectric 4. Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 8,557 8,015 6.8% 664 574 5,652 5,352 136 104 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 4,099 4,495 -8.8% 0 0 2,468 2,421 92 89 1,539 1,985 Massachusetts 1,843 1,207 52.8% 68 48 1,198 1,145 11 13 566 0 New Hampshire 1,381 1,091 26.6% 347 291 1,003 800 31 0 0 0.35 Rhode Island 102 130 -21.8% 0 0 102 130 0 0 0 0

124

SAS Output  

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

9. Net Generation from Petroleum Coke 9. Net Generation from Petroleum Coke by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 76 344 -78.0% 0 0 0 263 0 0 76 81 New Jersey 40 58 -30.6% 0 0 0 0 0 0 40 58

125

SAS Output  

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

D. Coal: Consumption for Electricity Generation, D. Coal: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 19,996,890 15,517,857 4,215,043 9,168 254,821 2003 20,366,879 15,391,188 4,745,545 13,080 217,066 2004 20,375,751 15,610,335 4,606,584 8,251 150,581 2005 20,801,716 15,397,688 5,250,824 8,314 144,889 2006 20,527,410 15,211,077 5,166,001 7,526 142,807 2007 20,841,871 15,436,110 5,287,202 7,833 110,727 2008 20,548,610 15,189,050 5,242,194 8,070 109,296 2009 18,240,611 13,744,178 4,390,596 7,007 98,829 2010 19,196,315 14,333,496 4,709,686 6,815 146,318 2011 18,074,298 13,551,416 4,399,144 7,263 116,475

126

SAS Output  

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

A. Natural Gas: Consumption for Electricity Generation, A. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,126,062 2,259,684 3,148,595 32,545 685,239 2003 5,616,135 1,763,764 3,145,485 38,480 668,407 2004 5,674,580 1,809,443 3,265,896 32,839 566,401 2005 6,036,370 2,134,859 3,349,921 33,785 517,805 2006 6,461,615 2,478,396 3,412,826 34,623 535,770 2007 7,089,342 2,736,418 3,765,194 34,087 553,643 2008 6,895,843 2,730,134 3,612,197 33,403 520,109 2009 7,121,069 2,911,279 3,655,712 34,279 519,799 2010 7,680,185 3,290,993 3,794,423 39,462 555,307 2011 7,883,865 3,446,087 3,819,107 47,170 571,501

127

SAS Output  

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

D. Other Waste Biomass: Consumption for Electricity Generation, D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 34,775 2,456 15,859 4,566 11,894 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790 8,090 2011 30,771 4,488 16,115 3,816 6,352 2012 30,342 4,191 15,740 4,016 6,395 2010 January 2,223 189 1,078 321 635 February 2,336 275 1,208 291 561 March 2,287 311 1,079 302 594

128

SAS Output  

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

8. Net Generation from Petroleum Liquids 8. Net Generation from Petroleum Liquids by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 413 639 -35.4% 52 120 267 374 49 55 45 90 Connecticut 112 166 -32.6% 4 5 104 155 0.05 0 4 5 Maine 84 178 -52.8% 0.17 1 65 89 2 3 16 85 Massachusetts 174 197 -11.2% 15 40 98 128 37 28 25 NM New Hampshire 22 78 -72.1% 20 57 0.12 1 2 20 0.17 0.10 Rhode Island 18 14 31.0% 11 10 0.12 1 7 2 0 0 Vermont 3 8 -58.1% 2 6 0 0 1 2 0 0

129

SAS Output  

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

8. Net Generation from Biomass 8. Net Generation from Biomass by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 7,229 7,138 1.3% 570 515 4,428 4,544 125 94 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 3,212 3,788 -15.2% 0 0 1,581 1,714 92 89 1,539 1,985 Massachusetts 1,724 1,140 51.2% 0 0 1,157 1,137 1 3 566 0 New Hampshire 1,173 1,025 14.4% 347 291 795 734 31 0 0 0.35 Rhode Island 101 127 -21.1% 0 0 101 127 0 0 0 0

130

SAS Output  

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

2. Net Generation from Nuclear Energy 2. Net Generation from Nuclear Energy by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 36,116 34,283 5.3% 0 0 36,116 34,283 0 0 0 0 Connecticut 17,078 15,928 7.2% 0 0 17,078 15,928 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 5,860 5,085 15.2% 0 0 5,860 5,085 0 0 0 0 New Hampshire 8,189 8,363 -2.1% 0 0 8,189 8,363 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 4,989 4,907 1.7% 0 0 4,989 4,907 0 0 0 0

131

SAS Output  

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

7. Net Generation from Coal 7. Net Generation from Coal by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,103 6,848 -40.1% 1,268 2,208 2,793 4,592 0 0 42 47 Connecticut 653 526 24.2% 0 0 653 526 0 0 0 0 Maine 45 55 -18.0% 0 0 30 38 0 0 15 18 Massachusetts 2,137 4,059 -47.4% 0 0 2,110 4,029 0 0 27 30 New Hampshire 1,268 2,208 -42.6% 1,268 2,208 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0

132

SAS Output  

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

2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 40,020 1,319 2,550 214,137 5,961 12,550 4,732 281,269 2003 38,249 5,551 1,828 200,077 9,282 19,785 3,296 278,068 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167 22,109 17,052 4,854 292,234 2009 38,015 5,341 1,445 190,875 19,830 17,625 5,055 278,187

133

SAS Output  

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

3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 18,477 2,600 143 36,265 0 6,902 4,801 69,188 2003 22,780 2,520 196 16,955 0 8,296 6,142 56,889 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155 25,902 0 8,450 5,761 61,420 2010 19,216 845 216 29,791 13 7,917 5,333 63,330 2011 17,234 687 111 24,848 14 7,433 5,988 56,314

134

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

135

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

136

SAS Output  

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

. Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewables Hydroelectric Pumped Storage Other Energy Sources Total (All Sectors) 2002 633 1,147 1,649 40 66 1,426 682 38 28 2003 629 1,166 1,693 40 66 1,425 741 38 27 2004 625 1,143 1,670 46 66 1,425 749 39 28 2005 619 1,133 1,664 44 66 1,422 781 39 29 2006 616 1,148 1,659 46 66 1,421 843 39 29 2007 606 1,163 1,659 46 66 1,424 929 39 25 2008 598 1,170 1,655 43 66 1,423 1,076 39 29 2009 593 1,168 1,652 43 66 1,427 1,219 39 28 2010 580 1,169 1,657 48 66 1,432 1,355 39 32

137

SAS Output  

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

5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 106 79 35% 0 0 0 23 0 0 106 56 New Jersey 0 NM NM 0 0 0 0 0 0 0 NM

138

SAS Output  

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

6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 440,421 484,260 -9.1% 3,652 4,226 419,062 434,504 3,636 13,156 14,072 32,373 Connecticut 112,084 116,563 -3.8% 71 738 112,012 107,121 0 3,210 0 5,494 Maine 42,374 56,230 -25% 0 0 28,302 33,578 0 NM 14,072 22,639 Massachusetts 175,314 198,295 -12% 2,789 2,393 168,890 184,156 3,636 7,872 0 3,875 New Hampshire 50,408 47,137 6.9% 754 1,046 49,655 45,725 0 0 0 NM

139

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

140

SAS Output  

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

1. Total Electric Power Industry Summary Statistics, 2012 and 2011 1. Total Electric Power Industry Summary Statistics, 2012 and 2011 Net Generation and Consumption of Fuels for January through December Total (All Sectors) Electric Power Sector Commercial Industrial Electric Utilities Independent Power Producers Fuel Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Net Generation (Thousand Megawatthours) Coal 1,514,043 1,733,430 -12.7% 1,146,480 1,301,107 354,076 416,783 883 1,049 12,603 14,490 Petroleum Liquids 13,403 16,086 -16.7% 9,892 11,688 2,757 3,655 191 86 563 657 Petroleum Coke 9,787 14,096 -30.6% 5,664 9,428 1,758 3,431 6 3 2,359 1,234 Natural Gas 1,225,894 1,013,689 20.9% 504,958 414,843 627,833 511,447 6,603 5,487 86,500 81,911

Note: This page contains sample records for the topic "industrial sector output" 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

SAS Output  

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

7. U.S. Coal Stocks, 2007 - 2013" 7. U.S. Coal Stocks, 2007 - 2013" "(thousand short tons)" ,"Coal Consumers" "Last Day of Quarter","Electric","Coke","Other","Commercial","Total","Coal Producers","Total" ,"Power","Plants","Industrial2","and",,"and" ,"Sector1",,,"Institutional Users",,"Distributors" 2007 " March 31",141389,2444,5756,"-",149588,34007,183595 " June 30",154812,2364,5672,"-",162849,32484,195333 " September 30",142666,1972,5811,"-",150448,30090,180538 " December 31",151221,1936,5624,"-",158781,33977,192758

142

SAS Output  

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

1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 336,848 61,313 11,513 708,738 117,513 571,509 48,263 1,855,697 2003 333,361 68,329 16,934 610,122 110,263 632,366 54,960 1,826,335 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 2005 341,806 79,362 13,021 624,008 138,469 664,691 41,400 1,902,757 2006 332,548 54,224 24,009 603,288 126,049 689,549 49,308 1,878,973 2007 326,803 50,882 25,373 554,394 116,313 651,230 46,822 1,771,816 2008 315,244 29,554 18,263 509,330 110,680 610,131 23,729 1,616,931 2009 281,557 32,591 20,308 513,002 99,556 546,974 33,287 1,527,276

143

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

144

SAS Output  

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

8. Retail Sales of Electricity to Ultimate Customers by End-Use Sector, 8. Retail Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Million Kilowatthours) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 47,208 47,481 44,864 45,018 27,818 27,927 566 569 120,456 120,995 Connecticut 12,758 12,919 12,976 13,087 3,566 3,668 193 185 29,492 29,859 Maine 4,481 4,382 4,053 4,018 3,027 3,016 0 0 11,561 11,415 Massachusetts 20,313 20,473 17,723 17,767 16,927 16,974 350 357 55,313 55,570 New Hampshire 4,439 4,454 4,478 4,478 1,953 1,936 0 0 10,870 10,869 Rhode Island 3,121 3,129 3,640 3,660 923 916 24 27 7,708 7,732

145

SAS Output  

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

0. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, 0. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Cents per Kilowatthour) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 15.71 15.89 13.68 14.31 11.83 12.55 6.68 7.85 14.02 14.49 Connecticut 17.34 18.11 14.65 15.57 12.67 13.24 9.69 10.25 15.54 16.35 Maine 14.66 15.38 11.53 12.29 7.98 8.88 -- -- 11.81 12.58 Massachusetts 14.91 14.67 13.84 14.33 12.57 13.38 4.91 6.14 13.79 14.11 New Hampshire 16.07 16.52 13.36 14.04 11.83 12.27 -- -- 14.19 14.74 Rhode Island 14.40 14.33 11.87 12.37 10.68 11.27 8.28 14.11 12.74 13.04

146

SAS Output  

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

9. Revenue from Retail Sales of Electricity to Ultimate Customers by End-Use Sector, 9. Revenue from Retail Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2012 and 2011 (Million Dollars) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 7,418 7,546 6,137 6,441 3,292 3,504 38 45 16,885 17,536 Connecticut 2,213 2,339 1,901 2,038 452 486 19 19 4,584 4,882 Maine 657 674 467 494 242 268 0 0 1,366 1,436 Massachusetts 3,029 3,003 2,453 2,547 2,127 2,270 17 22 7,627 7,842 New Hampshire 713 736 598 629 231 238 0 0 1,543 1,602 Rhode Island 450 449 432 453 99 103 2 4 982 1,008 Vermont 356 346 285 281 142 139 0 0 784 766

147

SAS Output  

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

2.1. Number of Ultimate Customers Served by Sector, by Provider, 2.1. Number of Ultimate Customers Served by Sector, by Provider, 2002 through 2012 Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 116,622,037 15,333,700 601,744 N/A 1,066,554 133,624,035 2003 117,280,481 16,549,519 713,221 1,127 N/A 134,544,348 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 124,937,469 17,562,726 774,713 727 N/A 143,275,635 2009 125,177,175 17,561,661 757,519 705 N/A 143,497,060 2010 125,717,935 17,674,338 747,746 239 N/A 144,140,258 2011 126,143,072 17,638,062 727,920 92 N/A 144,509,146

148

SAS Output  

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

B. Net Generation from Renewable Sources: Industrial Sector, 2002 - 2012 B. Net Generation from Renewable Sources: Industrial Sector, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 0 N/A N/A 29,643 N/A N/A N/A 0 3,825 N/A 2003 0 0 0 27,988 96 36 583 0 4,222 32,926 2004 0 0 0 28,367 120 30 647 0 3,248 32,413 2005 0 0 0 28,271 113 34 585 0 3,195 32,199 2006 0 0 0 28,400 29 35 509 0 2,899 31,872 2007 0 0 0 28,287 27 40 565 0 1,590 30,509 2008 0 0 0 26,641 21 0 800 0 1,676 29,138 2009 0 0 0 25,292 22 0 718 0 1,868 27,901 2010 0 2 0 25,706 15 0 853 0 1,668 28,244

149

SAS Output  

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

A. Net Generation by Energy Source: Industrial Sector, 2002 - 2012 A. Net Generation by Energy Source: Industrial Sector, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 21,525 3,196 1,207 79,013 9,493 0 3,825 30,489 0 3,832 152,580 2003 19,817 3,726 1,559 78,705 12,953 0 4,222 28,704 0 4,843 154,530 2004 19,773 4,128 1,839 78,959 11,684 0 3,248 29,164 0 5,129 153,925 2005 19,466 3,804 1,564 72,882 9,687 0 3,195 29,003 0 5,137 144,739 2006 19,464 2,567 1,656 77,669 9,923 0 2,899 28,972 0 5,103 148,254 2007 16,694 2,355 1,889 77,580 9,411 0 1,590 28,919 0 4,690 143,128

150

SAS Output  

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

2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 (continued) 2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 3,846 138 0.76 21.20 5.91 9.1 852,547 828,439 3.36 3.46 66.8 2.88 2003 16,383 594 1.04 28.74 5.73 47.3 823,681 798,996 5.32 5.48 69.9 4.20 2004 14,876 540 0.98 27.01 5.59 40.4 839,886 814,843 6.04 6.22 68.4 4.76 2005 16,620 594 1.21 33.75 5.44 58.2 828,882 805,132 8.00 8.24 74.3 6.18

151

SAS Output  

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

0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 2003 through 2012 Capacity (MW) Customers Year Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Historical Data 2003 N/A N/A N/A N/A N/A 5,870 775 168 -- 6,813 2004 N/A N/A N/A N/A N/A 14,114 1,494 215 3 15,826 2005 N/A N/A N/A N/A N/A 19,244 1,565 337 -- 21,146 2006 N/A N/A N/A N/A N/A 30,689 2,553 376 -- 33,618 2007 N/A N/A N/A N/A N/A 44,450 3,513 391 -- 48,354 2008 N/A N/A N/A N/A N/A 64,400 5,305 304 -- 70,009 2009 N/A N/A N/A N/A N/A 88,205 7,365 919 -- 96,489 Photovoltaic 2010 697.890 517.861 243.051 -- 1,458.802 137,618 11,897 1,225 -- 150,740

152

SAS Output  

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

1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2002 - 2012 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2002 294,234 13,659 1.45 31.29 1.56 52.1 29,137 4,638 3.55 22.33 1.24 26.5 2003 322,547 15,076 1.45 31.01 1.37 60.7 27,538 4,624 4.85 28.86 1.25 23.2 2004 326,495 15,324 1.63 34.79 1.43 57.6 25,491 4,107 4.98 30.93 1.38 18.5 2005 339,968 16,011 1.94 41.17 1.42 61.9 36,383 5,876 6.64 41.13 1.36 26.4

153

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

154

Institutional change in the forest sector : the Russian experience  

E-Print Network (OSTI)

was seventh of all sectors in Russia with 5.62% of total industrial output (Nilsson and Shvidenko, 1997: 33). By 1993, domestic production of wood products (the output of logs, lumber, plywood, reconstituted wood boards, and pulp and paper products...

Ulybina, Olga

155

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

156

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

157

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

158

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

159

South Dakota timber industry: An assessment of timber product output and use, 1993. Forest Service resource bulletin  

SciTech Connect

Reports findings of a survey of all primary wood-using mills in South Dakota in 1993 and compares those findings with earlier surveys. Reports production and receipts of industrial roundwood by product, species, and county. Also reports the quantity, type, and disposition of wood and bark residues generated by South Dakota`s primary wood-using industry.

Hackett, R.L.; Sowers, R.A.

1996-10-04T23:59:59.000Z

160

SAS Output  

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

5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: 5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Industrial Sector by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 19 0.66 6.9 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0 -- -- Maine 19 0.66 6.9 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- --

Note: This page contains sample records for the topic "industrial sector output" 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

SAS Output  

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

5. Retail Sales of Electricity to Ultimate Customers: 5. Retail Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2012 (Million Kilowatthours) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2003 1,275,824 1,198,728 1,012,373 6,810 3,493,734 2004 1,291,982 1,230,425 1,017,850 7,224 3,547,479 2005 1,359,227 1,275,079 1,019,156 7,506 3,660,969 2006 1,351,520 1,299,744 1,011,298 7,358 3,669,919 2007 1,392,241 1,336,315 1,027,832 8,173 3,764,561 2008 1,379,981 1,335,981 1,009,300 7,700 3,732,962 2009 1,364,474 1,307,168 917,442 7,781 3,596,865 2010 1,445,708 1,330,199 970,873 7,712 3,754,493 2011 1,422,801 1,328,057 991,316 7,672 3,749,846 2012 1,374,515 1,327,101 985,714 7,320 3,694,650 2010

162

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

163

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

164

SAS Output  

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

3. Revenue from Retail Sales of Electricity to Ultimate Customers 3. Revenue from Retail Sales of Electricity to Ultimate Customers by Sector, by Provider, 2002 through 2012 (Million Dollars) Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 106,834 87,117 48,336 N/A 7,124 249,411 2003 111,249 96,263 51,741 514 N/A 259,767 2004 115,577 100,546 53,477 519 N/A 270,119 2005 128,393 110,522 58,445 643 N/A 298,003 2006 140,582 122,914 62,308 702 N/A 326,506 2007 148,295 128,903 65,712 792 N/A 343,703 2008 155,433 138,469 68,920 827 N/A 363,650 2009 157,008 132,940 62,504 828 N/A 353,280 2010 166,782 135,559 65,750 815 N/A 368,906 2011 166,714 135,926 67,606 803 N/A 371,049 2012 163,280 133,898 65,761 747 N/A 363,687

165

SAS Output  

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

2. Retail Sales and Direct Use of Electricity to Ultimate Customers 2. Retail Sales and Direct Use of Electricity to Ultimate Customers by Sector, by Provider, 2002 through 2012 (Megawatthours) Year Residential Commercial Industrial Transportation Other Total Direct Use Total End Use Total Electric Industry 2002 1,265,179,869 1,104,496,607 990,237,631 N/A 105,551,904 3,465,466,011 166,184,296 3,631,650,307 2003 1,275,823,910 1,198,727,601 1,012,373,247 6,809,728 N/A 3,493,734,486 168,294,526 3,662,029,012 2004 1,291,981,578 1,230,424,731 1,017,849,532 7,223,642 N/A 3,547,479,483 168,470,002 3,715,949,485 2005 1,359,227,107 1,275,079,020 1,019,156,065 7,506,321 N/A 3,660,968,513 150,015,531 3,810,984,044 2006 1,351,520,036 1,299,743,695 1,011,297,566 7,357,543 N/A 3,669,918,840 146,926,612 3,816,845,452

166

Experimental physics and industrial control system (EPICS) input/output controller (IOC) application developer`s guide  

SciTech Connect

This document describes the core software that resides in an Input/Output Controller (IOC), one of the major components of EPICS. The plan of the book is: EPICS overview, IOC test facilities, general purpose features, database locking - scanning - and processing, static database access, runtime database access, database scanning, record and device support, device support library, IOC database configuration, IOC initialization, and database structures. Other than the first chapter this document describes only core IOC software. Thus it does not describe other EPICS tools such as the sequencer. It also does not describe Channel Access, a major IOC component.

Kraimer, M.R.

1994-05-01T23:59:59.000Z

167

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

168

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

169

SAS Output  

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

7. Average Retail Price of Electricity to Ultimate Customers: 7. Average Retail Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2012 (Cents per Kilowatthour) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2003 8.72 8.03 5.11 7.54 7.44 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 9.54 8.90 2007 10.65 9.65 6.39 9.70 9.13 2008 11.26 10.36 6.83 10.74 9.74 2009 11.51 10.17 6.81 10.65 9.82 2010 11.54 10.19 6.77 10.57 9.83 2011 11.72 10.23 6.82 10.46 9.90 2012 11.88 10.09 6.67 10.21 9.84 2010 January 10.49 9.55 6.50 10.17 9.28 February 10.89 9.89 6.55 10.48 9.47 March 11.11 9.95 6.53 10.28 9.48 April 11.71 9.95 6.55 10.52 9.53 May 11.91 10.15 6.64 10.52 9.72

170

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

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial Mkt trends Market Trends 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. See more figure data Reference Case Tables Table 2. Energy Consumption by Sector and Source - United States XLS Table 2.1. Energy Consumption by Sector and Source - New England XLS Table 2.2. Energy Consumption by Sector and Source - Middle Atlantic XLS

171

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

172

SAS Output  

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

4. Average Retail Price of Electricity to Ultimate Customers 4. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector 2002 through 2012 (Cents per kilowatthour) Year Residential Commercial Industrial Transportation Other Total Total Electric Industry 2002 8.44 7.89 4.88 N/A 6.75 7.20 2003 8.72 8.03 5.11 7.54 N/A 7.44 2004 8.95 8.17 5.25 7.18 N/A 7.61 2005 9.45 8.67 5.73 8.57 N/A 8.14 2006 10.40 9.46 6.16 9.54 N/A 8.90 2007 10.65 9.65 6.39 9.70 N/A 9.13 2008 11.26 10.36 6.83 10.74 N/A 9.74 2009 11.51 10.17 6.81 10.65 N/A 9.82 2010 11.54 10.19 6.77 10.57 N/A 9.83 2011 11.72 10.23 6.82 10.46 N/A 9.90 2012 11.88 10.09 6.67 10.21 N/A 9.84 Full-Service Providers 2002 8.40 7.77 4.78 N/A 6.65 7.13 2003 8.68 7.89 5.01 6.82 N/A 7.38

173

Using Economic Input/Output Tables to Predict a Country’s Nuclear Status  

Science Conference Proceedings (OSTI)

Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nation’s efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a country’s or region’s economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industry’s output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

2010-07-15T23:59:59.000Z

174

SAS Output  

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

2. Demand-Side Management Program Annual Effects by Program 2. Demand-Side Management Program Annual Effects by Program Category, by Sector, 2002 through 2012 Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2002 15,284 24,803 10,242 -- 50,328 2003 12,914 24,758 10,031 551 48,254 2004 17,185 24,290 11,137 50 52,663 2005 18,894 28,073 11,986 47 59,000 2006 21,150 28,720 13,155 50 63,076 2007 22,772 30,359 14,038 108 67,278 2008 25,396 34,634 14,766 75 74,871 2009 27,395 34,831 14,610 76 76,912 2010 32,150 37,416 17,259 89 86,914 2011 46,790 50,732 23,061 76 120,659 2012 54,516 58,894 25,023 92 138,525 Energy Efficiency - Actual Peak Load Reduction (MW) 2002 5,300 5,389 2,768 -- 13,457 2003 5,909 4,911 2,671 94 13,585

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

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

177

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

178

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

179

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

180

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

Note: This page contains sample records for the topic "industrial sector output" 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

Comparisons of four categories of waste recycling in China's paper industry based on physical input-output life-cycle assessment model  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer Using crop straws and wood wastes for paper production should be promoted. Black-Right-Pointing-Pointer Bagasse and textile waste recycling should be properly limited. Black-Right-Pointing-Pointer Imports of scrap paper should be encouraged. Black-Right-Pointing-Pointer Sensitivity analysis, uncertainties and policy implications are discussed. - Abstract: Waste recycling for paper production is an important component of waste management. This study constructs a physical input-output life-cycle assessment (PIO-LCA) model. The PIO-LCA model is used to investigate environmental impacts of four categories of waste recycling in China's paper industry: crop straws, bagasse, textile wastes and scrap paper. Crop straw recycling and wood utilization for paper production have small total intensity of environmental impacts. Moreover, environmental impacts reduction of crop straw recycling and wood utilization benefits the most from technology development. Thus, using crop straws and wood (including wood wastes) for paper production should be promoted. Technology development has small effects on environmental impacts reduction of bagasse recycling, textile waste recycling and scrap paper recycling. In addition, bagasse recycling and textile waste recycling have big total intensity of environmental impacts. Thus, the development of bagasse recycling and textile waste recycling should be properly limited. Other pathways for reusing bagasse and textile wastes should be explored and evaluated. Moreover, imports of scrap paper should be encouraged to reduce large indirect impacts of scrap paper recycling on domestic environment.

Liang Sai [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Zhang, Tianzhu, E-mail: zhangtz@mail.tsinghua.edu.cn [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Xu Yijian [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); China Academy of Urban Planning and Design, Beijing 100037 (China)

2012-03-15T23:59:59.000Z

182

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

183

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

184

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

185

SAS Output  

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

2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, 2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, by Producer Type, 2012 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Petroleum as the Primary Fuel Net Summer Capacity of Petroleum-Fired Generators Reporting the Ability to Switch to Natural Gas Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Natural Gas Electric Utilities 26,732 7,640 28.6 7,224 Independent Power Producers, Non-Combined Heat and Power Plants 18,644 7,867 42.2 6,628 Independent Power Producers, Combined Heat and Power Plants 317 -- -- -- Electric Power Sector Subtotal 45,693 15,507 33.9 13,852 Commercial Sector 443 21 4.8 21

186

SAS Output  

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

Coal Consumers in the Manufacturing and Coke Sectors, 2012" Coal Consumers in the Manufacturing and Coke Sectors, 2012" "Company Name","Plant Location" "Top Ten Manufacturers" "American Crystal Sugar Co","MN, ND" "Archer Daniels Midland","IA, IL, MN, ND, NE" "Carmeuse Lime Stone Inc","AL, IL, IN, KY, MI, OH, PA, TN, VA, WI" "Cemex Inc","AL, CA, CO, FL, GA, KY, OH, TN, TX" "Dakota Gasification Company","ND" "Eastman Chemical Company","TN" "Georgia-Pacific LLC","AL, GA, OK, VA, WI" "Holcim (US) Inc","AL, CO, MD, MO, MT, OK, SC, TX, UT" "NewPage Corporation","MD, MI, WI" "U S Steel Corporation","AL, IN, MI, MN"

187

SAS Output  

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

1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2002 141,714 43,935 1,711 116,952 29,601 328 24,761 14,334 1,383 2003 121,567 45,752 1,484 97,831 28,062 378 23,736 17,691 1,105 2004 106,669 46,750 937 84,917 29,144 627 21,751 17,607 309 2005 101,137 47,414 530 77,457 29,532 374 23,680 17,882 156 2006 140,964 48,216 674 110,277 29,799 456 30,688 18,416 217

188

SAS Output  

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

4. Stocks of Coal by Coal Rank: Electric Power Sector, 2002 - 2012 4. Stocks of Coal by Coal Rank: Electric Power Sector, 2002 - 2012 Electric Power Sector Period Bituminous Coal Subbituminous Coal Lignite Coal Total End of Year Stocks 2002 70,704 66,593 4,417 141,714 2003 57,716 59,884 3,967 121,567 2004 49,022 53,618 4,029 106,669 2005 52,923 44,377 3,836 101,137 2006 67,760 68,408 4,797 140,964 2007 63,964 82,692 4,565 151,221 2008 65,818 91,214 4,556 161,589 2009 91,922 92,448 5,097 189,467 2010 81,108 86,915 6,894 174,917 2011 82,056 85,151 5,179 172,387 2012 86,437 93,833 4,846 185,116 2010, End of Month Stocks January 86,354 86,893 4,845 178,091 February 82,469 83,721 4,836 171,026 March 86,698 86,014 5,030 177,742 April 92,621 89,545 7,095 189,260 May 93,069 91,514 7,085 191,669

189

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

190

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

191

SAS Output  

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

Coal Receipts at Other Industrial Plants by Census Division and State" Coal Receipts at Other Industrial Plants by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w","w","w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",627,587,637,1214,1254,-3.1 " New York",214,178,194,392,377,4

192

SAS Output  

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

Coal Consumption at Other Industrial Plants by Census Division and State" Coal Consumption at Other Industrial Plants by Census Division and State" "(thousand short tons)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w",20,"w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",583,589,651,1171,1237,-5.3 " New York",155,181,206,337,374,-10.1

193

SAS Output  

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

Average Price of Coal Receipts at Other Industrial Plants by Census Division and State" Average Price of Coal Receipts at Other Industrial Plants by Census Division and State" "(dollars per short ton)" ,,,,"Year to Date" "Census Division","April - June","January - March","April - June",2013,2012,"Percent" "and State",2013,2013,2012,,,"Change" "New England","w","w","w","w","w","w" " Maine","w","w","w","w","w","w" " Massachusetts","w","w","w","w","w","w" "Middle Atlantic",87.05,93.03,93.73,89.93,95.68,-6 " New York",102.14,105.8,117.15,103.8,117.61,-11.7

194

SAS Output  

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

9. Coal Stocks at Other Industrial Plants by Census Division and State" 9. Coal Stocks at Other Industrial Plants by Census Division and State" "(thousand short tons)" "Census Division","June 30 2013","March 31 2013","June 30 2012","Percent Change" "and State",,,,"(June 30)" ,,,,"2013 versus 2012" "New England","w","w",21,"w" " Maine","w","w","w","w" " Massachusetts","w","w","w","w" "Middle Atlantic",295,251,286,3.2 " New York",137,78,107,27.6 " Pennsylvania",158,172,179,-11.5 "East North Central",734,692,761,-3.5 " Illinois",160,152,187,-14.1

195

SAS Output  

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

4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: 4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Commercial Sector by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 0 -- -- 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- -- Middle Atlantic 0 -- -- 0 -- -- 0 -- --

196

SAS Output  

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

9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England -- -- -- -- -- -- -- Connecticut -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- -- Middle Atlantic -- W W -- -- -- W New Jersey -- -- -- -- -- -- -- New York -- W W -- -- -- W Pennsylvania -- -- -- -- -- -- -- East North Central W W W 4.10 4.01 W W

197

SAS Output  

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

0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2002 - 2012 (continued) 0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 0 0 -- -- -- -- 18,671 18,256 3.44 3.52 24.7 3.03 2003 0 0 -- -- -- 0.0 18,169 17,827 4.96 5.06 30.5 4.02 2004 0 0 -- -- -- 0.0 16,176 15,804 5.93 6.07 21.9 4.58 2005 0 0 -- -- -- 0.0 17,600 17,142 8.38 8.60 25.2 6.25 2006 0 0 -- -- -- 0.0 21,369 20,819 8.33 8.55 30.7 6.42

198

SAS Output  

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

A. Net Generation by Energy Source: Total (All Sectors), 2002 - 2012 A. Net Generation by Energy Source: Total (All Sectors), 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 1,933,130 78,701 15,867 691,006 11,463 780,064 264,329 79,109 -8,743 13,527 3,858,452 2003 1,973,737 102,734 16,672 649,908 15,600 763,733 275,806 79,487 -8,535 14,045 3,883,185 2004 1,978,301 100,391 20,754 710,100 15,252 788,528 268,417 83,067 -8,488 14,232 3,970,555 2005 2,012,873 99,840 22,385 760,960 13,464 781,986 270,321 87,329 -6,558 12,821 4,055,423 2006 1,990,511 44,460 19,706 816,441 14,177 787,219 289,246 96,525 -6,558 12,974 4,064,702

199

SAS Output  

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

9. Receipts, Average Cost, and Quality of Fossil Fuels: Commercial Sector, 2002 - 2012 9. Receipts, Average Cost, and Quality of Fossil Fuels: Commercial Sector, 2002 - 2012 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2002 9,580 399 2.10 50.44 2.59 28.4 503 91 5.38 29.73 0.02 7.5 2003 8,835 372 1.99 47.24 2.43 20.5 248 43 7.00 40.82 0.04 3.1 2004 10,682 451 2.08 49.32 2.48 23.5 3,066 527 6.19 35.96 0.20 26.9 2005 11,081 464 2.57 61.21 2.43 24.2 1,684 289 8.28 48.22 0.17 18.3 2006 12,207 518 2.63 61.95 2.51 27.5 798 137 13.50 78.70 0.17 15.5

200

SAS Output  

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

B. Net Generation from Renewable Sources: Commerical Sector, 2002 - 2012 B. Net Generation from Renewable Sources: Commerical Sector, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 0 N/A N/A 13 N/A N/A N/A 0 13 N/A 2003 0 0 0 13 152 717 420 0 72 1,374 2004 0 0 0 13 172 945 444 0 105 1,680 2005 0 0 0 16 218 953 486 0 86 1,759 2006 0 0 0 21 173 956 470 0 93 1,713 2007 0 0 0 15 203 962 434 0 77 1,691 2008 0 0.08 0 21 234 911 389 0 60 1,615 2009 0.21 0.04 0 20 318 1,045 386 0 71 1,839 2010 16 5 0 21 256 1,031 386 0 80 1,794 2011 51 84 0 26 952 971 393 0 26 2,502

Note: This page contains sample records for the topic "industrial sector output" 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

SAS Output  

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

3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: 3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by Census Divison, 2012 and 2011 Electric Power Sector Electric Utilities Independent Power Producers Census Division December 2012 December 2011 Percentage Change December 2012 December 2011 December 2012 December 2011 Coal (Thousand Tons) New England 1,030 1,389 -25.9% W W W W Middle Atlantic 7,553 7,800 -3.2% W W W W East North Central 36,139 37,262 -3.0% 27,069 27,316 9,070 9,946 West North Central 30,554 28,544 7.0% 30,554 28,544 0 0 South Atlantic 38,859 36,920 5.3% 35,527 33,163 3,331 3,757 East South Central 19,657 17,185 14.4% 19,657 17,185 0 0 West South Central 28,807 22,910 25.7% 17,047 15,125 11,760 7,785

202

SAS Output  

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

A. Net Generation by Energy Source: Commerical Sector, 2002 - 2012 A. Net Generation by Energy Source: Commerical Sector, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 992 426 6 4,310 0.01 0 13 1,065 0 603 7,415 2003 1,206 416 8 3,899 0 0 72 1,302 0 594 7,496 2004 1,340 493 7 3,969 0 0 105 1,575 0 781 8,270 2005 1,353 368 7 4,249 0 0 86 1,673 0 756 8,492 2006 1,310 228 7 4,355 0.04 0 93 1,619 0 758 8,371 2007 1,371 180 9 4,257 0 0 77 1,614 0 764 8,273 2008 1,261 136 6 4,188 0 0 60 1,555 0 720 7,926 2009 1,096 157 5 4,225 0 0 71 1,769 0 842 8,165

203

SAS Output  

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

B. Net Generation from Renewable Sources: Total (All Sectors), 2002 - 2012 B. Net Generation from Renewable Sources: Total (All Sectors), 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 10,354 N/A N/A 38,665 N/A N/A N/A 14,491 264,329 N/A 2003 11,187 2 532 37,529 5,077 8,306 2,428 14,424 275,806 355,293 2004 14,144 6 569 38,117 5,128 8,151 2,141 14,811 268,417 351,485 2005 17,811 16 535 38,856 5,142 8,330 1,948 14,692 270,321 357,651 2006 26,589 15 493 38,762 5,677 8,478 1,944 14,568 289,246 385,772 2007 34,450 16 596 39,014 6,158 8,304 2,063 14,637 247,510 352,747

204

SAS Output  

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

0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 0. U.S. Coal Stocks at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" "NAICS Code","June 30 2013","March 31 2013","June 30 2012","Percent Change" ,,,,"(June 30)" ,,,,"2013 versus 2012" "311 Food Manufacturing",875,926,1015,-13.9 "312 Beverage and Tobacco Product Mfg.",26,17,19,35.8 "313 Textile Mills",22,22,25,-13.9 "315 Apparel Manufacturing","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w" "322 Paper Manufacturing",570,583,743,-23.3 "324 Petroleum and Coal Products*",127,113,156,-18.7

205

SAS Output  

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

9. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 9. Average Price of U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(dollars per short ton)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",51.17,49.59,50.96,50.35,50.94,-1.2 "312 Beverage and Tobacco Product Mfg.",111.56,115.95,113.47,113.49,117.55,-3.5 "313 Textile Mills",115.95,118.96,127.41,117.4,128.07,-8.3 "315 Apparel Manufacturing","w","w","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w","w","w"

206

SAS Output  

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

5. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 5. U.S. Coal Consumption at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",2256,2561,1864,4817,4343,10.9 "312 Beverage and Tobacco Product Mfg.",38,50,48,88,95,-7.7 "313 Textile Mills",31,29,21,60,59,2.2 "315 Apparel Manufacturing","w","w","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w","w","w"

207

SAS Output  

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

8. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" 8. U.S. Coal Receipts at Manufacturing Plants by North American Industry Classification System (NAICS) Code" "(thousand short tons)" ,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2013,2012,"Percent" ,2013,2013,2012,,,"Change" "311 Food Manufacturing",2214,2356,1994,4570,4353,5 "312 Beverage and Tobacco Product Mfg.",48,37,53,85,90,-5.6 "313 Textile Mills",31,29,22,59,63,-6.1 "315 Apparel Manufacturing","w","w","w","w","w","w" "321 Wood Product Manufacturing","w","w","w","w","w","w"

208

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

209

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

210

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

211

SAS Output  

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

1. Emissions from Energy Consumption at 1. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants 2002 through 2012 (Thousand Metric Tons) Year Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) 2002 2,423,963 10,881 5,194 2003 2,445,094 10,646 4,532 2004 2,486,982 10,309 4,143 2005 2,543,838 10,340 3,961 2006 2,488,918 9,524 3,799 2007 2,547,032 9,042 3,650 2008 2,484,012 7,830 3,330 2009 2,269,508 5,970 2,395 2010 2,388,596 5,400 2,491 2011 2,287,071 4,845 2,406 2012 2,156,875 3,704 2,148 Notes: The emissions data presented include total emissions from both electricity generation and the production of useful thermal output. See Appendix A, Technical Notes, for a description of the sources and methodology used to develop the emissions estimates.

212

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

213

SAS Output  

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

. Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2002 884,287 0.94 1.25 25.52 120,851 1.64 3.34 20.77 5,607,737 3.56 1.86 2003 986,026 0.97 1.28 26.00 185,567 1.53 4.33 26.78 5,500,704 5.39 2.28 2004 1,002,032 0.97 1.36 27.42 186,655 1.66 4.29 26.56 5,734,054 5.96 2.48 2005 1,021,437 0.98 1.54 31.20 194,733 1.61 6.44 39.65 6,181,717 8.21 3.25

214

SAS Output  

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

2. Electric Power Industry - Electricity Sales for Resale, 2. Electric Power Industry - Electricity Sales for Resale, 2002 through 2012 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2002 1,838,901 5,757,283 943,531 28,963 8,568,678 2003 1,824,030 3,906,220 1,156,796 33,909 6,920,954 2004 1,923,440 3,756,175 1,053,364 25,996 6,758,975 2005 1,925,710 2,867,048 1,252,796 26,105 6,071,659 2006 1,698,389 2,446,104 1,321,342 27,638 5,493,473 2007 1,603,179 2,476,740 1,368,310 31,165 5,479,394 2008 1,576,976 2,718,661 1,355,017 30,079 5,680,733 2009 1,495,636 2,240,399 1,295,857 33,139 5,065,031 2010 1,541,554 2,946,452 1,404,137 37,068 5,929,211 2011 1,529,434 2,206,981 1,372,306 34,400 5,143,121

215

SAS Output  

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

. Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 . Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 Bituminous Subbituminous Lignite Period Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight 2002 423,128 1.47 10.1 391,785 0.36 6.2 65,555 0.93 13.3 2003 467,286 1.50 10.0 432,513 0.38 6.4 79,869 1.03 14.4 2004 470,619 1.52 10.4 445,603 0.36 6.0 78,268 1.05 14.2 2005 480,179 1.56 10.5 456,856 0.36 6.2 77,677 1.02 14.0 2006 489,550 1.59 10.5 504,947 0.35 6.1 75,742 0.95 14.4 2007 467,817 1.62 10.3 505,155 0.34 6.0 71,930 0.90 14.0

216

SAS Output  

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

2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: 2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2012 and 2011 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change New England 1,030 1,389 -26% 2,483 2,680 -7.3% 0 0 -- Connecticut W W W 1,300 954 36% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 675 W 837 990 -15% 0 0 -- New Hampshire W W W W W W 0 0 -- Rhode Island 0 0 -- W W W 0 0 -- Vermont 0 0 -- 51 49 3.0% 0 0 -- Middle Atlantic 7,553 7,800 -3.2% 5,496 6,591 -17% W W W New Jersey 926 871 6.3% 1,084 1,113 -2.6% 0 0 --

217

SAS Output  

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

8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 18.64 W W 21.43 21.12 18.47 W Connecticut W 21.91 W 23.87 NM W 21.93 Maine W W W -- NM W W Massachusetts 17.17 19.76 -13% 17.45 NM 17.16 19.66 New Hampshire 23.23 W W 23.23 19.90 -- W Rhode Island -- W W -- NM -- W Vermont 24.11 NM NM 24.11 NM -- -- Middle Atlantic W 20.15 W 21.01 19.21 W 20.66 New Jersey 19.77 18.36 7.7% -- NM 19.77 20.28 New York W 19.66 W 21.01 20.00 W 19.36 Pennsylvania 21.84 22.19 -1.6% -- NM 21.84 22.19

218

SAS Output  

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

B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2002 through 2012 (Megawatts) B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2002 through 2012 (Megawatts) Year Wind Solar Thermal and Photovoltaic Wood and Wood-Derived Fuels Geothermal Other Biomass Total (Other Renewable Sources) Total (All Sectors) 2002 4,417 397 5,844 2,252 3,800 16,710 2003 5,995 397 5,871 2,133 3,758 18,153 2004 6,456 398 6,182 2,152 3,529 18,717 2005 8,706 411 6,193 2,285 3,609 21,205 2006 11,329 411 6,372 2,274 3,727 24,113 2007 16,515 502 6,704 2,214 4,134 30,069 2008 24,651 536 6,864 2,229 4,186 38,466 2009 34,296 619 6,939 2,382 4,317 48,552 2010 39,135 866 7,037 2,405 4,369 53,811 2011 45,676 1,524 7,077 2,409 4,536 61,221 2012 59,075 3,170 7,508 2,592 4,811 77,155

219

SAS Output  

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

A. Existing Net Summer Capacity by Energy Source and Producer Type, 2002 through 2012 (Megawatts) A. Existing Net Summer Capacity by Energy Source and Producer Type, 2002 through 2012 (Megawatts) Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewable Sources Hydroelectric Pumped Storage Other Energy Sources Total Total (All Sectors) 2002 315,350 59,651 312,512 2,008 98,657 79,356 16,710 20,371 686 905,301 2003 313,019 60,730 355,442 1,994 99,209 78,694 18,153 20,522 684 948,446 2004 313,020 59,119 371,011 2,296 99,628 77,641 18,717 20,764 746 962,942 2005 313,380 58,548 383,061 2,063 99,988 77,541 21,205 21,347 887 978,020 2006 312,956 58,097 388,294 2,256 100,334 77,821 24,113 21,461 882 986,215 2007 312,738 56,068 392,876 2,313 100,266 77,885 30,069 21,886 788 994,888

220

SAS Output  

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

0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 3.69 4.94 -25% 4.73 5.70 3.68 4.93 Connecticut 3.88 4.97 -22% 6.45 NM 3.87 4.96 Maine W W W -- -- W W Massachusetts 3.55 4.88 -27% 4.47 5.75 3.53 4.87 New Hampshire W W W 5.54 6.01 W W Rhode Island 3.86 5.01 -23% -- -- 3.86 5.01 Vermont 4.06 5.22 -22% 4.06 5.22 -- -- Middle Atlantic 3.52 5.14 -32% 3.86 5.32 3.46 5.11 New Jersey 3.52 5.11 -31% -- -- 3.52 5.11 New York 3.85 5.45 -29% 3.86 5.32 3.84 5.50

Note: This page contains sample records for the topic "industrial sector output" 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

SAS Output  

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

7. Average Cost of Coal Delivered for Electricity Generation by State, 2012 and 2011 7. Average Cost of Coal Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 3.59 3.68 -2.4% 4.07 3.55 3.34 3.74 Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts W W W -- -- W W New Hampshire 4.07 3.55 15% 4.07 3.55 -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- -- Middle Atlantic 2.50 2.68 -6.7% -- 2.92 2.50 2.63 New Jersey 4.05 4.18 -3.1% -- -- 4.05 4.18 New York 3.12 3.27 -4.6% -- 3.88 3.12 3.27 Pennsylvania 2.43 2.55 -4.7% -- 2.91 2.43 2.45

222

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

223

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

224

SAS Output  

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

Major U.S. Coal Producers, 2012" Major U.S. Coal Producers, 2012" "Rank","Controlling Company Name","Production (thousand short tons)","Percent of Total Production" 1,"Peabody Energy Corp",192563,18.9 2,"Arch Coal Inc",136992,13.5 3,"Alpha Natural Resources LLC",104306,10.3 4,"Cloud Peak Energy",90721,8.9 5,"CONSOL Energy Inc",55752,5.5 6,"Alliance Resource Operating Partners LP",35406,3.5 7,"Energy Future Holdings Corp",31032,3.1 8,"Murray Energy Corp",29216,2.9 9,"NACCO Industries Inc",28207,2.8 10,"Patriot Coal Corp",23946,2.4 11,"Peter Kiewit Sons Inc",22725,2.2 12,"Westmoreland Coal Co",22215,2.2 13,"BHP Billiton Ltd",12580,1.2

225

SAS Output  

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

3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Cubic Foot 2002 10,168 0.94 8.7 147,903 1.64 0.2 1,025 2003 10,137 0.97 9.0 147,086 1.53 0.1 1,030 2004 10,074 0.97 9.0 147,286 1.66 0.2 1,027 2005 10,107 0.98 9.0 146,481 1.61 0.2 1,028 2006 10,063 0.97 9.0 143,883 2.31 0.2 1,027 2007 10,028 0.96 8.8 144,546 2.10 0.1 1,027 2008 9,947 0.97 9.0 142,205 2.21 0.3 1,027 2009 9,902 1.01 8.9 141,321 2.14 0.2 1,025 2010 9,842 1.16 8.8 140,598 2.14 0.2 1,022

226

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

227

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

228

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

229

SAS Output  

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

10.6. Advanced Metering Count by Technology Type, 10.6. Advanced Metering Count by Technology Type, 2007 through 2012 Year Residential Commercial Industrial Transportation Total Automated Meter Reading (AMR) 2007 25,785,782 2,322,329 44,015 109 28,152,235 2008 36,425,943 3,529,985 77,122 13 40,033,063 2009 41,462,111 4,239,531 107,033 11 45,808,686 2010 43,913,225 4,611,877 159,315 626 48,685,043 2011 41,451,888 4,341,105 172,692 77 45,965,762 2012 43,455,437 4,691,018 185,862 125 48,330,822 Advanced Metering Infrastructure (AMI) 2007 2,202,222 262,159 9,106 2 2,473,489 2008 4,190,244 444,003 12,757 12 4,647,016 2009 8,712,297 876,419 22,675 10 9,611,401 2010 18,369,908 1,904,983 59,567 67 20,334,525 2011 33,453,548 3,682,159 154,659 7 37,290,373

230

SAS Output  

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

2. Summary Statistics for the United States, 2002 - 2012 2. Summary Statistics for the United States, 2002 - 2012 (From Table 2.1.) Number of Ultimate Customers Year Residential Commercial Industrial Transportation Other Total 2002 116,622,037 15,333,700 601,744 N/A 1,066,554 133,624,035 2003 117,280,481 16,549,519 713,221 1,127 N/A 134,544,348 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 124,937,469 17,562,726 774,713 727 N/A 143,275,635 2009 125,177,175 17,561,661 757,519 705 N/A 143,497,060 2010 125,717,935 17,674,338 747,746 239 N/A 144,140,258 2011 126,143,072 17,638,062 727,920 92 N/A 144,509,146

231

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

232

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

233

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

234

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

235

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

236

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

237

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

238

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...

239

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

240

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

Note: This page contains sample records for the topic "industrial sector output" 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

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

242

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

243

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

244

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

245

Energy-economy interactions revisited within a comprehensive sectoral model  

Science Conference Proceedings (OSTI)

This paper describes a computable general equilibrium (CGE) model with considerable sector and technology detail, the ``All Modular Industry Growth Assessment'' Model (AMIGA). It is argued that a detailed model is important to capture and understand the several rolls that energy plays within the economy. Fundamental consumer and industrial demands are for the services from energy; hence, energy demand is a derived demand based on the need for heating, cooling mechanical, electrical, and transportation services. Technologies that provide energy-services more efficiently (on a life cycle basis), when adopted, result in increased future output of the economy and higher paths of household consumption. The AMIGA model can examine the effects on energy use and economic output of increases in energy prices (e.g., a carbon charge) and other incentive-based policies or energy-efficiency programs. Energy sectors and sub-sector activities included in the model involve energy extraction conversion and transportation. There are business opportunities to produce energy-efficient goods (i.e., appliances, control systems, buildings, automobiles, clean electricity). These activities are represented in the model by characterizing their likely production processes (e.g., lighter weight motor vehicles). Also, multiple industrial processes can produce the same output but with different technologies and inputs. Secondary recovery, i.e., recycling processes, are examples of these multiple processes. Combined heat and power (CHP) is also represented for energy-intensive industries. Other modules represent residential and commercial building technologies to supply energy services. All sectors of the economy command real resources (capital services and labor).

Hanson, D. A.; Laitner, J. A.

2000-07-24T23:59:59.000Z

246

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

247

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

248

Robust MPC with output feedback of integrating systems  

Science Conference Proceedings (OSTI)

In this work, it is presented a new contribution to the design of a robust MPC with output feedback, input constraints, and uncertain model. Multivariable predictive controllers have been used in industry to reduce the variability of the process output ...

J. M. Perez; D. Odloak; E. L. Lima

2012-01-01T23:59:59.000Z

249

Integrated framework for analysis: electric sector expansion in developing countries  

Science Conference Proceedings (OSTI)

The objective of this dissertation is the development of an analytical framework for the assessment of electric sector expansion strategies in developing countries, in the context of overall development planning, and with particular emphasis on macroeconomic and social implications. The framework will ensure that each electric capacity expansion alternative is linked quantitatively and consistently with a given economic development plan. The analytical model employs an integrated set of technological and economic models to explore the national energy and economy response to electric sector expansion planning for the Korean case. In this study, two integrated models were developed. The integrated model 1 is composed of a macroeconomic model, an energy input-output model, and an energy network flow model. This model accounts for the relationships of energy demand with overall economic development, and interfuel substitution, for the relationships between the investment capital required to meet astated levels of electric demand and overall investment planning and foreign exchange requirements, and economic impacts of the energy sector on gross national product (GNP) and balance of payments (BOP). The integrated model 2 is composed of an energy input-output model, and energy network flow model, and a GNP identify constraint,and calculates the macroeconomic-balanced level of comsumption, electric sector investments, industrial sector investments, and energy imports given policy-determined GNP and other GNP components. The two models were applied ot the Korean case by using a trial scenario and assumed input data. Computational results demonstrate and prove the workability of the models.

Lee, M.K.

1982-01-01T23:59:59.000Z

250

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

251

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

252

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)

253

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

254

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

255

test output enable Veto  

E-Print Network (OSTI)

to BIP/FSCC's RESET to (NIM) test output FSCC/COM (NIM) INPUT TRIGGER GLOBAL 0.08­19.5 usec adjustable

Berns, Hans-Gerd

256

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

257

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

258

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

259

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

260

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

Note: This page contains sample records for the topic "industrial sector output" 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

Analysis of relative industrial performance and it's implications for gas demand  

SciTech Connect

The analysis of the U.S. manufacturing sector and the opportunities it presents to the natural gas industry uses a weighted index of 11 economic/financial/market indicators to evaluate the performance of over 300 industries. Output and investment growth appear to be key determinants of industrial energy demand. Industries with high growth and investment potential over the period 1983-1993 are plastic materials and resins, aluminum rolling and drawing, motor vehicle parts, and glass products. Organic chemicals and paper mills exhibit above average potential, while petroleum refining, sugar, and primary aluminum are deemed slow growing industries.

Feldman, S.J.; Rogers, G.

1984-07-01T23:59:59.000Z

262

Taiwan: An energy sector study  

DOE Green Energy (OSTI)

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

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

1988-03-01T23:59:59.000Z

263

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...

264

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)

265

The National Energy Modeling System: An Overview 2000 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables 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 the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables 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 the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrial energy demand is projected as a combination of “bottom up” characterizations of the energy-using technology and “top down” econometric estimates of behavior. The influence of energy prices on industrial energy consumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based “technology possibility curves.” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

266

Input--output capital coefficients for energy technologies. [Input-output model  

DOE Green Energy (OSTI)

Input-output capital coefficients are presented for five electric and seven non-electric energy technologies. They describe the durable goods and structures purchases (at a 110 sector level of detail) that are necessary to expand productive capacity in each of twelve energy source sectors. Coefficients are defined in terms of 1967 dollar purchases per 10/sup 6/ Btu of output from new capacity, and original data sources include Battelle Memorial Institute, the Harvard Economic Research Project, The Mitre Corp., and Bechtel Corp. The twelve energy sectors are coal, crude oil and gas, shale oil, methane from coal, solvent refined coal, refined oil products, pipeline gas, coal combined-cycle electric, fossil electric, LWR electric, HTGR electric, and hydroelectric.

Tessmer, R.G. Jr.

1976-12-01T23:59:59.000Z

267

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

268

Changing Trends in the Bulk Chemicals and Pulp and Paper Industries (released in AEO2005)  

Reports and Publications (EIA)

Compared with the experience of the 1990s, rising energy prices in recent years have led to questions about expectations of growth in industrial output, particularly in energy-intensive industries. Given the higher price trends, a review of expected growth trends in selected industries was undertaken as part of the production of AEO2005. In addition, projections for the industrial value of shipments, which were based on the Standard Industrial Classification (SIC) system in AEO2004, are based on the North American Industry Classification System (NAICS) in AEO2005. The change in industrial classification leads to lower historical growth rates for many industrial sectors. The impacts of these two changes are highlighted in this section for two of the largest energy-consuming industries in the U.S. industrial sectorbulk chemicals and pulp and paper.

Information Center

2005-02-01T23:59:59.000Z

269

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

270

Sector X  

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

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

271

Sector 7  

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

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

272

The structural preconditions for maximizing FDI spillovers in Colombia : a sectoral impact analysis of Foreign Direct Investment (FDI) on Industry output, labor payments, firm productivity, and the productive structure (1995-2009)  

E-Print Network (OSTI)

Do multinational corporations (MNCs) crowd out domestic firms in developing countries, or is foreign direct investment (FDI) complementary to domestic firm profitability, productivity, and employment? Empirical literature ...

Hyman, Benjamin G. (Benjamin Gabriel)

2011-01-01T23:59:59.000Z

273

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

274

Introduction to the Industrial Technologies Program (ITP) Webinar, January 15, 2009  

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

Jim Quinn Jim Quinn Industrial Technologies Program U.S. Department of Energy Introduction to the Industrial Technologies Program (ITP) Webinar January 15, 2009 2 U.S. Industry and Energy Use R&D Program Technology Delivery Partnerships Energy Management Approach Opportunities Outline 3 Industrial Technologies Program (ITP) Mission Improve national energy security, climate, environment, and economic competitiveness by transforming the way U.S. industry uses energy. 4 Industry: Key to U.S. Economic & Energy Security U.S. manufacturing sector * Consumes more energy than any other economic sector (~32 quads) * Produces about 1,670 MMT CO 2 per year from energy use * Makes highest contribution to GDP (12%) * Produces nearly a quarter of world manufacturing output * Supplies >60% of US exports, worth $50

275

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

276

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...

277

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

278

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

279

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

280

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

Note: This page contains sample records for the topic "industrial sector output" 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

SEADS 3.0 Sectoral Energy/Employment Analysis and Data System  

SciTech Connect

SEADS 3.0, the Sectoral Energy/Employment Analysis and Data System, is a revision and upgrading of SEADS–PC, a software package designed for the analysis of policy that could be described by modifying final demands of consumer, businesses, or governments (Roop, et al., 1995). If a question can be formulated so that implications can be translated into changes in final demands for goods and services, then SEADS 3.0 provides a quick and easy tool to assess preliminary impacts. And SEADS 3.0 should be considered just that: a quick and easy way to get preliminary results. Often a thorough answer, even to such a simple question as, “What would be the effect on U. S. energy use and employment if the Federal Government doubled R&D expenditures?” requires a more sophisticated analytical framework than the input-output structure embedded in SEADS 3.0. This tool uses a static, input-output model to assess the impacts of changes in final demands on first industry output, then employment and energy use. The employment and energy impacts are derived by multiplying the industry outputs (derived from the changed final demands) by industry-specific energy and employment coefficients. The tool also allows for the specification of regional or state employment impacts, though this option is not available for energy impacts.

Roop, Joseph M.; Anderson, David A.; Schultz, Robert W.; Elliott, Douglas B.

2007-12-17T23:59:59.000Z

282

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.

283

Greenhouse gases and the metallurgical process industry  

SciTech Connect

The present lecture offers a brief review of the greenhouse effect, the sources of greenhouse gases, the potential effect of these gases on global warming, the response of the international community, and the probable cost of national compliance. The specific emissions of the metallurgical process industry, particularly those of the steel and aluminum sectors, are then examined. The potential applications of life-cycle assessments and of an input-output model in programs of emissions' abatement are investigated, and, finally, a few remarks on some implications for education are presented.

Lupis, C.H.P.

1999-10-01T23:59:59.000Z

284

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...

285

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...

286

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...

287

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...

288

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...

289

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....

290

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.

291

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.

292

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,...

293

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

294

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

295

8.5. Adding New Outputs  

Science Conference Proceedings (OSTI)

... have fixed values in the Output definition will not ... are a few example Output definitions, extracted from ... an example, illustrating the Energy output and ...

2013-08-23T23:59:59.000Z

296

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...

297

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...

298

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...

299

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...

300

Table 8.3b Useful Thermal Output at Combined-Heat-and-Power ...  

U.S. Energy Information Administration (EIA)

Table 8.3b Useful Thermal Output at Combined-Heat-and-Power Plants: Electric Power Sector, 1989-2011 (Subset of Table 8.3a; Trillion Btu)

Note: This page contains sample records for the topic "industrial sector output" 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

Coded output support vector machine  

Science Conference Proceedings (OSTI)

The authors propose a coded output support vector machine (COSVM) by introducing the idea of information coding to solve multi-class classification problems for large-scale datasets. The COSVM is built based on the support vector regression (SVR) machine ... Keywords: coded output, multi-class classification, number system, parallel implementation, support vector machine (SVM)

Tao Ye; Xuefeng Zhu

2012-07-01T23:59:59.000Z

302

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

303

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

304

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

305

Mexico's Petroleum Sector: Performance and prospects  

Science Conference Proceedings (OSTI)

Mexico's Petroleum Sector: Performance and Prospect discusses the intricacies of the psychology and cultural mix of Mexican political and corporate roles. Contents: Structure; Size; Investments; Output; Sales; Procurement; Costs; Pemex financial management; Political management; National policy; Prospect; Mexico as an LDC; Appendix; Index.

Baker, G.

1983-01-01T23:59:59.000Z

306

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...

307

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

308

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 ...

309

Estimates of emergency operating capacity in U.S. manufacturing industries: 1994--2005  

SciTech Connect

To develop integrated policies for mobilization preparedness, planners require estimates and projections of available productive capacity during national emergency conditions. This report develops projections of national emergency operating capacity (EOC) for 458 US manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level. These measures are intended for use in planning models that are designed to predict the demands for detailed industry sectors that would occur under conditions such as a military mobilization or a major national disaster. This report is part of an ongoing series of studies prepared by the Pacific Northwest National Laboratory to support mobilization planning studies of the Federal Emergency Planning Agency/US Department of Defense (FEMA/DOD). Earlier sets of EOC estimates were developed in 1985 and 1991. This study presents estimates of EOC through 2005. As in the 1991 study, projections of capacity were based upon extrapolations of equipment capital stocks. The methodology uses time series regression models based on industry data to obtain a response function of industry capital stock to levels of industrial output. The distributed lag coefficients of these response function are then used with projected outputs to extrapolate the 1994 level of EOC. Projections of industrial outputs were taken from the intermediate-term forecast of the US economy prepared by INFORUM (Interindustry Forecasting Model, University of Maryland) in the spring of 1996.

Belzer, D.B.

1997-02-01T23:59:59.000Z

310

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

311

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

312

rifsimp_output.html - CECM  

E-Print Network (OSTI)

Whenever DiffConstraint or UnSolve entries are present in the output, some parts of the algorithm have been disabled by options, and the resulting cases must ...

313

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

314

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

315

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

316

The Role of Steel in the US Economy: Decomposing the 1982-1997 Forward and Backward Linkages of the Steel Industry  

Science Conference Proceedings (OSTI)

This paper queries the benchmark input-output tables of the United States for 1982, 1987, 1992, and 1997 to examine both the industries that provide goods and services to the steel industry and the destination of steel products to other industries and final goods. This study provides a sense of how the industry changed from 1982 to 1997 and will aid in evaluation of new technology adoption by linking steel products to final consumers. The steel industry is one of the major producers of raw materials for industry and construction. Value of shipments in 2000 for the steel industry amounted to more than $70 billion. This paper highlights the interdependency of the various steel-using industries of the economy. It shows the downstream use by industry of steel as a commodity. It shows the response in the use of steel to industry-specific shocks to national final demand. It also documents the steel intensity of other industry sectors in the economy. The paper builds on the benchmark input-output tables to develop economic impact models. The effects both of industry final demand on steel and steel's final demand on industry are presented. The paper provides historical context to the observations and trends reflected in the examination of the data.

Anderson, Dave M.; Roop, Joseph M.

2003-08-01T23:59:59.000Z

317

Analysis and Decomposition of the Energy Intensity of Industries in  

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

and Decomposition of the Energy Intensity of Industries in and Decomposition of the Energy Intensity of Industries in California Title Analysis and Decomposition of the Energy Intensity of Industries in California Publication Type Journal Article Year of Publication 2012 Authors de la du Can, Stephane Rue, Ali Hasanbeigi, and Jayant A. Sathaye Journal Energy Policy Volume 46 Pagination 234-245 Keywords california, co2 emissions, energy intensity, energy use Abstract In 2008, the gross domestic product (GDP) of California industry was larger than GDP of industry in any other U.S. states. This study analyses the energy use of and output from seventeen industry subsectors in California and performs decomposition analysis to assess the influence of different factors on California industry energy use. The logarithmic mean Divisia index method is used for the decomposition analysis. The decomposition analysis results show that the observed reduction of energy use in California industry since 2000 is the result of two main factors: the intensity effect and the structural effect. The intensity effect has started pushing final energy use downward in 2000 and has since amplified. The second large effect is the structural effect. The significant decrease of the energy-intensive "Oil and Gas Extraction" subsector's share of total industry value added, from 15% in 1997 to 5% in 2008, and the increase of the non-energy intensive "Electric and electronic equipment manufacturing" sector's share of value added, from 7% in 1997 to 30% in 2008, both contributed to a decrease in the energy intensity in the industry sector

318

The Role of Steel in the US Economy: Decomposing the 1982-1997 Forward and Backward Linkages of the Steel Industry  

Science Conference Proceedings (OSTI)

This paper queries the benchmark input-output tables of the United States for 1982, 1987, 1992, and 1997 to examine both the industries that provide goods and services to the steel industry and the destination of steel products to other industries and final goods. This study provides a sense of how the industry changed over the 1982-1997 period and will aid in evaluation of new technology adoption by linking steel products to final consumers. Input-output analysis incorporates the ideas of interdependency, feedbacks, and general equilibrium into a single format. The Bureau of Economic Analysis (BEA) of the Department of Commerce prepares the official input-output tables for the United States every five years. The most recent table currently available is the 1997 table, released in 2002. It provides a snapshot of all transactions in 1997 at a given point in time, including sales of products to each industry (intermediate demand) as well as sales of products to final users (final demand). Fully disaggregated, the US input-output table specifies nearly 500 industries, and shows the distributions of inputs purchased from each and outputs sold to each. This makes a robust database for viewing detailed snapshots of the forward and backward linkages affecting the steel industry. The steel industry is one of the major producers of raw materials for industry and construction. Value of shipments in 2000 for the steel industry totaled over $70 billion. This paper highlights the interdependency of the various steel-using industries of the economy. It shows the downstream use by industry of steel as a commodity. It shows the response in the use of steel to industry-specific shocks to national final demand. It also documents the steel intensity of other industry sectors in the economy. The paper builds on the benchmark input-output tables to develop economic impact models. These models permit the examination of impacts on industrial output, employment, income, and other measures resulting from changes in steel final demand. Additionally, the paper explores the impacts on the steel industry of demand changes in all other industries taken individually.

Anderson, Dave M.; Roop, Joseph M.

2003-07-31T23:59:59.000Z

319

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.

320

ImSET: Impact of Sector Energy Technologies  

SciTech Connect

This version of the Impact of Sector Energy Technologies (ImSET) model represents the ''next generation'' of the previously developed Visual Basic model (ImBUILD 2.0) that was developed in 2003 to estimate the macroeconomic impacts of energy-efficient technology in buildings. More specifically, a special-purpose version of the 1997 benchmark national Input-Output (I-O) model was designed specifically to estimate the national employment and income effects of the deployment of Office of Energy Efficiency and Renewable Energy (EERE) -developed energy-saving technologies. In comparison with the previous versions of the model, this version allows for more complete and automated analysis of the essential features of energy efficiency investments in buildings, industry, transportation, and the electric power sectors. This version also incorporates improvements in the treatment of operations and maintenance costs, and improves the treatment of financing of investment options. ImSET is also easier to use than extant macroeconomic simulation models and incorporates information developed by each of the EERE offices as part of the requirements of the Government Performance and Results Act.

Roop, Joseph M.; Scott, Michael J.; Schultz, Robert W.

2005-07-19T23:59:59.000Z

Note: This page contains sample records for the topic "industrial sector output" 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

the United States Petroleum Refining Industry William R. Morrow...  

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

of the twelve processing units. The model is carbon and energy balanced such that crude oil inputs and major refinery sector outputs (fuels) are benchmarked to 2010 data....

322

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

323

Policies to Reduce Emissions from the Transportation Sector | Open Energy  

Open Energy Info (EERE)

Policies to Reduce Emissions from the Transportation Sector Policies to Reduce Emissions from the Transportation Sector Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policies to Reduce Emissions from the Transportation Sector Agency/Company /Organization: PEW Center Sector: Climate Focus Area: Transportation, People and Policy Phase: Evaluate Options, Develop Goals, Prepare a Plan Resource Type: Guide/manual User Interface: Other Website: www.pewclimate.org/DDCF-Briefs/Transportation Cost: Free References: Policies To Reduce Emissions From The Transportation Sector[1] Provide an overview of policy tools available to reduce GHG emissions from the transportation sector. Overview Provide an overview of policy tools available to reduce GHG emissions from the transportation sector. Outputs include: General Information

324

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

325

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...

326

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?

327

Assessment of factors affecting industrial electricity demand. Final report (revision version)  

Science Conference Proceedings (OSTI)

In Chapter 2, we identify those factors affecting the industrial product mix - taste, relative output prices, and relative input prices - and isolate several determinants which have not been adequately accounted for to date in industrial electricity demand forecasts. We discuss how the lower energy prices of foreign producers affect domestic producers and how the growth in the number of substitutes for intermediate products such as steel and aluminum with plastics and composites affects the composition of production and, hence, the demand for electricity. We also investigate how the changing age structure of the population brought on by the baby boom could change the mix of outputs produced by the industrial sector. In Chapter 3, we review the history of the 1970s with regard to changes in output mix and the manufacturing demand for electricity, and with regard to changes in the use of electricity vis-a-vis the other inputs in the production process. In Chapter 4, we generate forecasts using two models which control for efficiency changes, but in different ways. In this chapter we present the sensitivity of these projections using three sets of assumptions about product mix. The last chapter summarizes our results and draw from those results implications regarding public policy and industrial electricity demand. Two appendices present ISTUM2 results from selected electricity intensive industries, describes the ISTUM and ORIM models.

None

1983-07-01T23:59:59.000Z

328

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

329

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

330

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...

331

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...

332

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...

333

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

334

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. ...

335

Study of domestic social and economic impacts of ocean thermal energy conversion (OTEC) commercial development. Volume II. Industry profiles  

DOE Green Energy (OSTI)

Econoimc profiles of the industries most affected by the construction, deployment, and operation of Ocean Thermal Energy Conversion (OTEC) powerplants are presented. Six industries which will contribute materials and/or components to the construction of OTEC plants have been identified and are profiled here. These industries are: steel industry, concrete industry, titanium metal industry, fabricated structural metals industry, fiber glass-reinforced plastics industry, and electrical transmission cable industry. The economic profiles for these industries detail the industry's history, its financial and economic characteristics, its technological and production traits, resource constraints that might impede its operation, and its relation to OTEC. Some of the historical data collected and described in the profile include output, value of shipments, number of firms, prices, employment, imports and exports, and supply-demand forecasts. For most of the profiled industries, data from 1958 through 1980 were examined. In addition, profiles are included on the sectors of the economy which will actualy construct, deploy, and supply the OTEC platforms.

None

1981-12-22T23:59:59.000Z

336

Energy Savings in Industrial Buildings  

E-Print Network (OSTI)

The industrial sector accounts for more than one-third of total energy use in the United States and emits 28.7 percent of the country’s greenhouse gases. Energy use in the industrial sector is largely for steam and process heating systems, and electricity for equipment such as pumps, air compressors, and fans. Lesser, yet significant, amounts of energy are used for industrial buildings – heating, ventilation, and air conditioning (HVAC), lighting and facility use (such as office equipment). Due to economic growth, energy consumption in the industrial sector will continue to increase gradually, as will energy use in industrial buildings. There is a large potential for energy saving and carbon intensity reduction by improving HVAC, lighting, and other aspects of building operation and technologies. Analyses show that most of the technologies and measures to save energy in buildings would be cost-effective with attractive rates of return. First, this paper will investigate energy performance in buildings within the manufacturing sector, as classified in the North American Industry Classification System (NAICS). Energy use patterns for HVAC and lighting in industrial buildings vary dramatically across different manufacturing sectors. For example, food manufacturing uses more electricity for HVAC than does apparel manufacturing because of the different energy demand patterns. Energy saving opportunities and potential from industrial buildings will also be identified and evaluated. Lastly, barriers for deployment of energy savings technologies will be explored along with recommendations for policies to promote energy efficiency in industrial buildings.

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

2009-05-01T23:59:59.000Z

337

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

338

EPIC Industry Manual for Printed Circuit Boards  

Science Conference Proceedings (OSTI)

The EPRI Partnership for Industrial Competitiveness (EPIC) focuses on identifying opportunities for improving the industrial efficiency of selected industries that are customers of participating utilities. The goal is to examine opportunities to improve the efficiency and productivity and reduce environmental impacts of any particular industrial customer. EPIC's industry manuals are intended to provide broad coverage within a candidate industry, with different sectors of the industry linked by focusing o...

2000-11-17T23:59:59.000Z

339

Overload protection circuit for output driver  

DOE Patents (OSTI)

A protection circuit for preventing excessive power dissipation in an output transistor whose conduction path is connected between a power terminal and an output terminal. The protection circuit includes means for sensing the application of a turn on signal to the output transistor and the voltage at the output terminal. When the turn on signal is maintained for a period of time greater than a given period without the voltage at the output terminal reaching a predetermined value, the protection circuit decreases the turn on signal to, and the current conduction through, the output transistor.

Stewart, Roger G. (Neshanic Station, NJ)

1982-05-11T23:59:59.000Z

340

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

Note: This page contains sample records for the topic "industrial sector output" 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

2008 Industrial Technologies Market Report, May 2009  

SciTech Connect

The industrial sector is a critical component of the U.S. economy, providing an array of consumer, transportation, and national defense-related goods we rely on every day. Unlike many other economic sectors, however, the industrial sector must compete globally for raw materials, production, and sales. Though our homes, stores, hospitals, and vehicles are located within our borders, elements of our goods-producing industries could potentially be moved offshore. Keeping U.S. industry competitive is essential to maintaining and growing the U.S. economy. This report begins with an overview of trends in industrial sector energy use. The next section of the report focuses on some of the largest and most energy-intensive industrial subsectors. The report also highlights several emerging technologies that could transform key segments of industry. Finally, the report presents policies, incentives, and drivers that can influence the competitiveness of U.S. industrial firms.

Energetics; DOE

2009-07-01T23:59:59.000Z

342

Energy-Sector Stakeholders Attend the Department of Energy's...  

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

Program on July 20-22, during which 28 R&D projects were presented for review by industry stakeholders. More than 65 energy sector stakeholders came to network, present, and...

343

Climate VISION: Private Sector Initiatives: Iron and Steel  

Office of Scientific and Technical Information (OSTI)

to a Climate VISION goal of achieving a 10 percent increase in sector-wide average energy efficiency by 2012 using a 2002 baseline. Read the U.S. Steel Industry Energy...

344

Energy intensity in China's iron and steel sector  

E-Print Network (OSTI)

In this study, I examine the spatial and economic factors that influence energy intensity in China's iron and steel sector, namely industrial value added, renovation investment, coke consumption, and local coke supply. ...

Xu, Jingsi, M.C.P. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

345

Climate VISION: Private Sector Initiatives: Progress Report  

Office of Scientific and Technical Information (OSTI)

PROGRESS REPORT PROGRESS REPORT Progress Report NEWS MEDIA CONTACT: Megan Barnett, (202) 586-4940 FOR IMMEDIATE RELEASE Friday, February 8, 2008 DOE Releases Climate VISION Progress Report 2007 Outlines Industry Progress in Reducing Greenhouse Gas Emissions Intensity through Climate VISION Partnership WASHINGTON, DC - The U.S. Department of Energy (DOE) today released the Climate VISION Progress Report 2007, which reports on the actions taken by energy-intensive industries to improve greenhouse gas emissions intensity of their operations from 2002 to 2006. The report indicates that the power and energy-intensive industrial sectors improved their combined emissions intensity by 9.4 percent over this four year period, and in 2006, actual greenhouse gas emissions for these sectors fell a combined 1.4 percent.

346

Optimal Filtering of AC Output Anemometers  

Science Conference Proceedings (OSTI)

The output of pulsed and AC output anemometers suffer from discretization noise when such anemometers are sampled at fast rates (>1 Hz). This paper describes the construction of an optimal filter designed to reduce this noise. By comparing the ...

J. C. Barnard; L. L. Wendell; V. R. Morris

1998-12-01T23:59:59.000Z

347

Fostering a Renewable Energy Technology Industry: An International Comparison of Wind Industry Policy Support Mechanisms  

E-Print Network (OSTI)

Competitiveness in the Renewable Energy Sector: The Case ofand Regulation Concerning Renewable Energy ElectricityIndustrial Policy and Renewable Energy Technology.

Lewis, Joanna; Wiser, Ryan

2005-01-01T23:59:59.000Z

348

Public Sector Energy Efficiency  

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

Capitol dome Capitol dome Public Sector Energy Efficiency Research on sustainable federal operations supports the implementation of sustainable policies and practices in the public sector. This work serves as a bridge between the technology development of Department of Energy's National Laboratories and the operational needs of public sector. Research activities involve many aspects of integrating sustainability into buildings and government practices, including technical assistance for sustainable building design, operations, and maintenance; project financing for sustainable facilities; institutional change in support of sustainability policy goals; and procurement of sustainable products. All of those activities are supported by our work on program and project evaluation, which analyzes overall program effectiveness while ensuring

349

Sector 6 Research Highlights  

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

MM-Group Home MM-Group Home MMG Advisory Committees Beamlines 4-ID-C Soft Spectroscopy 4-ID-D Hard Spectroscopy 6-ID-B,C Mag. Scattering 6-ID-D HighE Scattering 29-ID IEX - ARPES,RSXS Getting Beamtime Sector Orientation Sector 4 Orientation Sector 6 Orientation Publications (4-ID) Publications (6-ID) Contact Us APS Ring Status Current APS Schedule Highlights of research on Sector 6 Teasing Out the Nature of Structural Instabilities in Ceramic Compounds Teasing Out the Nature of Structural Instabilities in Ceramic Compounds March 12, 2013 Researchers have used beamlines 6-ID-B at the APS and XmAS at the ESRF to probe the structure of the rare-earth magnetic material europium titanate. In a magnetic field, the optical properties of this system change quite dramatically, presenting hope of a strong magneto-electric material for potential use in new memory, processing, and sensor devices.

350

Buildings Sector Analysis  

SciTech Connect

A joint NREL, ORNL, and PNNL team conducted market analysis to help inform DOE/EERE's Weatherization and Intergovernmental Program planning and management decisions. This chapter presents the results of the market analysis for the Buildings sector.

Hostick, Donna J.; Nicholls, Andrew K.; McDonald, Sean C.; Hollomon, Jonathan B.

2005-08-01T23:59:59.000Z

351

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2012-12-19T23:59:59.000Z

352

Buildings Sector Analysis  

DOE Green Energy (OSTI)

A joint NREL, ORNL, and PNNL team conducted market analysis to help inform DOE/EERE's Weatherization and Intergovernmental Program planning and management decisions. This chapter presents the results of the market analysis for the Buildings sector.

Hostick, Donna J.; Nicholls, Andrew K.; McDonald, Sean C.; Hollomon, Jonathan B.

2005-08-01T23:59:59.000Z

353

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2013-11-05T23:59:59.000Z

354

Poultry Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. poultry industry and ways in which electric-powered processes and technologies can be used in poultry and egg production and processing. The poultry industry, which consists of poultry production for meat as well as egg production and processing, is one of the fastest growing segments of the U.S. food manufacturing industry. It is also an energy-intensive industry. In fact, a 2010 report by the USDA illustrates ...

2011-03-30T23:59:59.000Z

355

The Sector Notebooks were developed by the EPA's Ofice of Compliance. Questions relating to the Sector  

E-Print Network (OSTI)

This report is one in a series of volumes published by the U.S. Environmental Protection Agency (EPA) to provide information of general. interest regarding environmental issues associated with specific industrial sectors. The documents were developed under contract by Abt Associates

Epn -r

1997-01-01T23:59:59.000Z

356

Deregulating and regulatory reform in the U.S. electric power sector  

E-Print Network (OSTI)

This paper discusses the evolution of wholesale and retail competition in the U.S electricity sector and associated industry restructuring and regulatory reforms. It begins with a discussion of the industry structure and ...

Joskow, Paul L.

2000-01-01T23:59:59.000Z

357

What is the Industrial Technologies Program  

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

Together with our industry partners, we strive to: Together with our industry partners, we strive to: * Accelerate adoption of the many energy-efficient technologies and practices available today * Conduct vigorous technology innovation to radically improve future energy diversity, resource efficiency, and carbon mitigation * Promote a corporate culture of energy efficiency and carbon management What Is the Industrial Technologies Program ? The Industrial Technologies Program (ITP) is the lead federal agency responsible for improving energy efficiency in the largest energy-using sector of the country. Industrial Sector National Initiative Goal: Drive a 25% reduction in industrial energy intensity by 2017. Standards Training Information Assessments * Website * Information Center * Tip Sheets * Case studies * Webcasts * Emerging

358

OPEC influence grows with world output in next decade  

SciTech Connect

World crude oil and condensate output will rise to 75 million bopd in 2004, concludes a recently released Petroconsultant study, entitled Worldwide Crude Oil 10-Year Forecast. It also projects that OPEC`s role in supplying demand will simultaneously grow to nearly 50% of total output. In reaching these conclusions, this report analyzed and predicted each of 94 significant producing nations for the 1995--2004 period. Output has been projected separately for the onshore and offshore sectors. Each nation, including the new republics of the former Soviet Union and individual emirates of the United Arab Emirates, is discussed within its regional and global framework; and key aspects of each of the seven major regions have been delineated. The study integrated full-cycle resource analysis, economics, infrastructure, politics, history, consumption levels and patterns, energy balances, and other pertinent data to cover both supply and demand pictures. The entire discovery and production history was used to frame exploration and development maturity. Future discovery potential has been estimated from largely geologic parameters.

Foreman, N.E. [Petroconsultants, Inc., Houston, TX (United States)

1996-02-01T23:59:59.000Z

359

Energy Savings Potential and Policy for Energy Conservation in Selected Indian Manufacturing Industries  

E-Print Network (OSTI)

Minimization of damage from the rising trend of global warming would warrant two kinds of action for a country like India: a) abatement of greenhouse gas emissions and b) adaptation to climate change so as to reduce climate change related vulnerability of the people. The target of low carbon economic growth of India in terms of declining energy and carbon intensity of GDP assumes, therefore, a special significance in such context. Of the different options for lowering carbon intensity of GDP, the option of energy conservation through reduced energy intensity of output happens to be cheaper in most cases than the carbon free energy supply technology options. As the industrial sector has the largest sectoral share of final energy consumption in India this paper focuses on the assessment of energy savings potential in seven highly energy consuming industries. The paper estimates the energy savings potential for each of these industries using unit level Annual Survey of Industries data for 2007-08. The paper further develops an econometric model admitting substitutability among energy and other non-energy inputs as well as that among fuels using translog cost function for the selected industries and

Manish Gupta; Ramprasad Sengupta; Manish Gupta; Ramprasad Sengupta

2012-01-01T23:59:59.000Z

360

Demand-side Management Strategies and the Residential Sector: Lessons from International Experience  

E-Print Network (OSTI)

in producing a given level of output or activity. It is measured by the quantity of energy required to perform a particular activity (service) expressed as energy per unit of output or activity measure of service (EERE, 2010). In the residential sector...

Haney, Aoife Brophy; Jamasb, Tooraj; Platchkov, Laura M.; Pollitt, Michael G.

Note: This page contains sample records for the topic "industrial sector output" 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

Climate VISION: Private Sector Initiatives: Chemical Manufacturing  

Office of Scientific and Technical Information (OSTI)

Letters of Intent/Agreements Letters of Intent/Agreements American Chemistry Council (ACC), representing 85% of the chemical industry production in the U.S., has agreed American Chemistry Council Logo to an overall greenhouse gas intensity reduction target of 18% by 2012 from 1990 levels. ACC will measure progress based on data collected directly from its members. ACC also pledges to support the search for new products and pursue innovations that help other industries and sectors achieve the President's goal. Activities include increased production efficiencies, promoting coal gasification technology, increasing bio-based processes, and, most importantly, developing efficiency-enabling products for use in other sectors, such as appliance transportation and construction. The following documents are available for download as Adobe PDF documents.

362

Roadmap to Secure Control Systems in the Energy Sector  

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

Roadmap Roadmap to Secure Control Systems in the Energy Sector -  - Foreword T his document, the Roadmap to Secure Control Systems in the Energy Sector, outlines a coherent plan for improing cyber security in the energy sector. It is the result of an unprecedented collaboration between the energy sector and goernment to identify concrete steps to secure control systems used in the electricity, oil, and natural gas sectors oer the next ten years. The Roadmap proides a strategic framework for guiding industry and goernment efforts based on a clear ision supported by goals and time-based milestones. It addresses the energy sector's most urgent challenges as well as longer-term needs and practices. A distinctie feature of this collaboratie effort is the actie inolement and leadership of energy asset

363

Louisville Private Sector  

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

Private Sector Attendees Private Sector Attendees ENERGY STAR Kick-off Meeting December 2007 5/3rd Bank Al J Schneider Company (The Galt House East) Baptist Hospital East Brown - Forman Building Owner and Managers Association (BOMA) Louisville CB Richard Ellis Commercial Real Estate Women (CREW) Louisville Cushman Wakefield General Electric Company Golden Foods Greater Louisville Chapter of International Facility Management Association (IFMA) Hines Humana, Inc Institute of Real Estate Management (IREM) Kentucky Chapter Jewish Hospital & St Mary's Healthcare Kentucky Chapter, Certified Commercial Investment Managers (CCIM) Kentucky Governor's Office of Energy Policy Kentucky Society of Health Care Engineers Kindred Health Care Louisville Air Pollution Control Board

364

Industry Profile | Department of Energy  

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

Industry Profile Industry Profile Industry Profile November 1, 2013 - 11:40am Addthis The largest energy consuming industrial sectors account for the largest share of CHP capacity; namely: Chemicals (30%), Petroleum Refining (17%), and Paper Products (14%). Other industrial sectors include: Commercial/Institutional (12%), Food (8%), Primary Metals (5%), Other Manufacturing (8%), and Other Industrial (6%). Combined heat and power (CHP)-sometimes referred to as cogeneration-involves the sequential process of producing and utilizing electricity and thermal energy from a single fuel. CHP is widely recognized to save energy and costs, while reducing carbon dioxide (CO2) and other pollutants. CHP is a realistic, near-term option for large energy efficiency improvements and significant CO2 reductions.

365

Structural Change and Futures for the Electric Utility Industry  

Science Conference Proceedings (OSTI)

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

1995-08-09T23:59:59.000Z

366

Rare Earth Elements Industry Overview and Advanced Materials  

Science Conference Proceedings (OSTI)

In response to booming growth in the industrial output and rare metal demand in Korea, The Korean Government, through such organizations as KIRAM and ...

367

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2012-11-15T23:59:59.000Z

368

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2013-10-10T23:59:59.000Z

369

Light output simulation of LYSO single crystal  

E-Print Network (OSTI)

We used the Geant4 simulation toolkit to estimate the light collection in a LYSO crystal by using cosmic muons and E=105 MeV electrons. The light output as a function of the crystal length is studied. Significant influence of the crystal wrapping in the reflective paper and optical grease coupling to the photodetectors on the light output is demonstrated.

Usubov, Zafar

2013-01-01T23:59:59.000Z

370

Making Africa's Power Sector Sustainable: An Analysis of Power Sector  

Open Energy Info (EERE)

Making Africa's Power Sector Sustainable: An Analysis of Power Sector Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa Jump to: navigation, search Tool Summary Name: Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa Agency/Company /Organization: United Nations Environment Programme, United Nations Economic Commission for Africa Sector: Energy Topics: Market analysis, Policies/deployment programs, Co-benefits assessment, - Energy Access, - Environmental and Biodiversity Resource Type: Guide/manual, Lessons learned/best practices Website: www.uneca.org/eca_programmes/nrid/pubs/powersectorreport.pdf UN Region: Eastern Africa References: Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa[1] Overview "This study assesses the socio-economic and environmental impacts of power

371

Dissemination of Climate Model Output to the Public and Commercial Sector  

SciTech Connect

Climate is defined by the Glossary of Meteorology as the mean of atmospheric variables over a period of time ranging from as short as a few months to multiple years and longer. Although the term climate is often used to refer to long-term weather statistics, the broader definition of climate is the time evolution of a system consisting of the atmosphere, hydrosphere, lithosphere, and biosphere. Physical, chemical, and biological processes are involved in interactions among the components of the climate system. Vegetation, soil moisture, and glaciers are part of the climate system in addition to the usually considered temperature and precipitation (Pielke, 2008). Climate change refers to any systematic change in the long-term statistics of climate elements (such as temperature, pressure, or winds) sustained over several decades or longer. Climate change can be initiated by external forces, such as cyclical variations in the Earth's solar orbit that are thought to have caused glacial and interglacial periods within the last 2 million years (Milankovitch, 1941). However, a linear response to astronomical forcing does not explain many other observed glacial and interglacial cycles (Petit et al., 1999). It is now understood that climate is influenced by the interaction of solar radiation with atmospheric greenhouse gasses (e.g., carbon dioxide, chlorofluorocarbons, methane, nitrous oxide, etc.), aerosols (airborne particles), and Earth's surface. A significant aspect of climate are the interannual cycles, such as the El Nino La Nina cycle which profoundly affects the weather in North America but is outside the scope of weather forecasts. Some of the most significant advances in understanding climate change have evolved from the recognition of the influence of ocean circulations upon the atmosphere (IPCC, 2007). Human activity can affect the climate system through increasing concentrations of atmospheric greenhouse gases, air pollution, increasing concentrations of aerosol, and land alteration. A particular concern is that atmospheric levels of CO{sub 2} may be rising faster than at any time in Earth's history, except possibly following rare events like impacts from large extraterrestrial objects (AMS, 2007). Atmospheric CO{sub 2} concentrations have increased since the mid-1700s through fossil fuel burning and changes in land use, with more than 80% of this increase occurring since 1900. The increased levels of CO{sub 2} will remain in the atmosphere for hundreds to thousands of years. The complexity of the climate system makes it difficult to predict specific aspects of human-induced climate change, such as exactly how and where changes will occur, and their magnitude. The Intergovernmental Panel for Climate Change (IPCC) was established by World Meteorological Organization (WMO) and the United Nations in 1988. The IPCC was tasked with assessing the scientific, technical and socioeconomic information needed to understand the risk of human-induced climate change, its observed and projected impacts, and options for adaptation and mitigation. The IPCC concluded in its Fourth Assessment Report (AR4) that warming of the climate system is unequivocal, and that most of the observed increase in globally averaged temperatures since the mid-20th century is very likely due to the observed increased in anthropogenic greenhouse gas concentrations (IPCC, 2007).

Robert Stockwell, PhD

2010-09-23T23:59:59.000Z

372

Window Industry Technology Roadmap | Open Energy Information  

Open Energy Info (EERE)

Industry Technology Roadmap Industry Technology Roadmap Jump to: navigation, search Logo: Window Industry Technology Roadmap Name Window Industry Technology Roadmap Agency/Company /Organization United States Department of Energy Sector Energy Focus Area Energy Efficiency, Buildings Topics Technology characterizations Resource Type Guide/manual Website http://www.nrel.gov/docs/fy01o References Window Industry Technology Roadmap[1] Abstract The Window Industry Technology Roadmap is designed to provide clear guidance to both the government and the private sector in planning future investments and initiatives. Overview "The Window Industry Technology Roadmap is designed to provide clear guidance to both the government and the private sector in planning future investments and initiatives. It serves as a resource for government to

373

Dairy Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. dairy industry and ways in which electric-powered processes and technologies can be used in milk production and processing. Because of the different processes involved, the characteristics of energy consumption at milk production and processing facilities vary by facility. Most energy used in milk production is in the form of diesel fuel, followed by electricity and then by petroleum products such as gasoline an...

2011-03-30T23:59:59.000Z

374

Manufacturing sector carbon dioxide emissions in nine OECD countries 1973--87: A Divisia index decomposition to changes in fuel mix, emission coefficients, industry structure, energy intensities, and international structure  

DOE Green Energy (OSTI)

In this paper the reduction in energy-related manufacturing carbon dioxide emissions for nine OECD countries in the period 1973 to 1987 is analyzed. Carbon dioxide emissions are estimated from energy use data. The emphasis is on carbon dioxide intensities, defined as emissions divided by value added. The overall manufacturing carbon dioxide intensity for the nine OECD countries was reduced by 42% in the period 1973--1987. Five fuels are specified together with six subsectors of manufacturing. Carbon dioxide emissions are estimated from fossil fuel consumption, employing emissions coefficients for gas, oil and solids. In addition, electricity consumption is specified. For electricity use an emission coefficient index is calculated from the shares of fossil fuels, nuclear power and hydro power used to generate electricity, and the efficiency in electricity generation from these energy sources. A Divisia index approach is used to sort out the contribution to reduced carbon dioxide intensity from different components. The major finding is that the main contribution to reduced carbon dioxide intensity is from the general reduction in manufacturing energy intensity, most likely driven by economic growth and increased energy prices, giving incentives to invest in new technology and new industrial processes. There is also a significant contribution from reduced production in the most carbon dioxide intensive subsectors, and a contribution from higher efficiency in electricity generation together with a larger nuclear power share at the expense of oil. 19 refs., 5 figs., 11 tabs.

Torvanger, A. (Senter for Anvendt Forskning, Oslo (Norway) Lawrence Berkeley Lab., CA (USA))

1990-11-01T23:59:59.000Z

375

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.

376

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.

377

Energy-Sector Stakeholders Attend the Department of Energy's  

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

Energy-Sector Stakeholders Attend the Department of Energy's Energy-Sector Stakeholders Attend the Department of Energy's Cybersecurity for Energy Delivery Systems Peer Review Energy-Sector Stakeholders Attend the Department of Energy's Cybersecurity for Energy Delivery Systems Peer Review August 15, 2011 - 1:12pm Addthis The Department of Energy conducted a Peer Review of its Cybersecurity for Energy Delivery Systems (CEDS) Research and Development Program on July 20-22, during which 28 R&D projects were presented for review by industry stakeholders. More than 65 energy sector stakeholders came to network, present, and learn about DOE projects, while more than 20 joined in by webinar. The CEDS program's national lab, academic, and industry partners-including the National SCADA Test Bed (NSTB) partners and Trustworthy Cyber Infrastructure for the Power Grid (TCIPG)

378

Texas Industries of the Future  

E-Print Network (OSTI)

The purpose of the Texas Industries of the Future program is to facilitate the development, demonstration and adoption of advanced technologies and adoption of best practices that reduce industrial energy usage, emissions, and associated costs, resulting in improved competitive performance. The bottom line for Texas industry is savings in energy and materials, cost-effective environmental compliance, increased productivity, reduced waste, and enhanced product quality. The state program leverages the programs and tools of the federal Department of Energy's Industries of the Future. At the federal level, there are nine Industries of the Future: refining, chemicals, aluminum, steel, metal casting, glass, mining, agriculture, and forest products. These industries were selected nationally because they supply over 90% of the U.S. economy's material needs and account for 75% of all energy use by U.S. industry. In Texas, three IOF sectors, chemicals, refining and forest products, account for 86% of the energy used by industry in this state.

Ferland, K.

2002-04-01T23:59:59.000Z

379

High Technology and Industrial Systems  

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

Semiconductor clean room Semiconductor clean room High Technology and Industrial Systems EETD's research on high technology buildings and industrial systems is aimed at reducing energy consumed by the industrial sector in manufacturing facilities, including high technology industries such as data centers, cleanrooms in the such industries as electronics and pharmaceutical manufacturing, and laboratories, improving the competitiveness of U.S. industry. Contacts William Tschudi WFTschudi@lbl.gov (510) 495-2417 Aimee McKane ATMcKane@lbl.gov (518) 782-7002 Links High-Performance Buildings for High-Tech Industries Industrial Energy Analysis Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends

380

Midstate Electric Cooperative- Commercial and Industrial Energy Efficiency Rebate Program  

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

Midstate Electric Cooperative (MEC) encourages energy efficiency in the commercial and industrial sectors by giving customers a choice of several different financial incentive programs. First, ...

Note: This page contains sample records for the topic "industrial sector output" 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

Companhia Industrial do Nordeste Brasileiro | Open Energy Information  

Open Energy Info (EERE)

navigation, search Name Companhia Industrial do Nordeste Brasileiro Place Pernambuco, Brazil Sector Biomass Product Brazil based biomass producer located in the state of...

382

Companhia Agro Industrial de Goiana | Open Energy Information  

Open Energy Info (EERE)

Agro Industrial de Goiana Place Recife, Pernambuco, Brazil Sector Biomass Product Ethanol and biomass electricity generator in Pernambuco, Brazil. References Companhia Agro...

383

Electronics Industry: Markets & Issues  

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

Electronics Industry: Markets & Issues Electronics Industry: Markets & Issues Speaker(s): William M. Smith Date: March 17, 1998 - 12:00pm Location: 90-3148 Seminar Host/Point of Contact: Richard Sextro Electronics represents a unique opportunity to get in on the beginning of an incredible growth spurt, for an already huge industry; $400 billion/year in the U.S. now, moving up by 10%-20% per year in several sectors. This is quite unlike many other U.S. industrial sectors, which often involve mature businesses requiring assistance to stay afloat. The potential for forming business partnerships with electronics firms to deal with issues in energy efficiency, water availability/quality, air quality, productivity/yield, HVAC, power quality, wastewater, air emissions, etc., is staggering. The industrys oligopic nature provides serious opportunities

384

Characterizing output bottlenecks in a supercomputer  

Science Conference Proceedings (OSTI)

Supercomputer I/O loads are often dominated by writes. HPC (High Performance Computing) file systems are designed to absorb these bursty outputs at high bandwidth through massive parallelism. However, the delivered write bandwidth often falls well below ...

Bing Xie; Jeffrey Chase; David Dillow; Oleg Drokin; Scott Klasky; Sarp Oral; Norbert Podhorszki

2012-11-01T23:59:59.000Z

385

Dynamical Properties of Model Output Statistics Forecasts  

Science Conference Proceedings (OSTI)

The dynamical properties of forecasts corrected using model output statistics (MOS) schemes are explored, with emphasis on the respective role of model and initial condition uncertainties. Analytical and numerical investigations of low-order ...

S. Vannitsem; C. Nicolis

2008-02-01T23:59:59.000Z

386

Ensemble Model Output Statistics for Wind Vectors  

Science Conference Proceedings (OSTI)

A bivariate ensemble model output statistics (EMOS) technique for the postprocessing of ensemble forecasts of two-dimensional wind vectors is proposed, where the postprocessed probabilistic forecast takes the form of a bivariate normal probability ...

Nina Schuhen; Thordis L. Thorarinsdottir; Tilmann Gneiting

2012-10-01T23:59:59.000Z

387

Patterns of innovation in service industries  

Science Conference Proceedings (OSTI)

The diversity of service activities means that service innovations and innovation processes take various forms. In this paper, we use input/output and other data to depict how service industries vary in such areas as products, markets, work organization, ...

I. Miles

2008-01-01T23:59:59.000Z

388

Private Sector Outreach and Partnerships  

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

ISER’s partnerships with the private sector are a strength which has enabled the division to respond to the needs of the sector and the nation. The division’s domestic capabilities have been...

389

Nepal-Sectoral Climate Impacts Economic Assessment | Open Energy  

Open Energy Info (EERE)

Nepal-Sectoral Climate Impacts Economic Assessment Nepal-Sectoral Climate Impacts Economic Assessment Jump to: navigation, search Name Nepal Sectoral Climate impacts Economic Assessment Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner Ministry of Environment for Government of Nepal Sector Climate Focus Area Agriculture, Forestry, Greenhouse Gas, Industry, Land Use, People and Policy, Water Conservation Topics Low emission development planning Website http://cdkn.org/2011/11/call-f Country Nepal Southern Asia References Nepal Sectoral Climate impacts Economic Assessment[1] CDKN is providing support to the GoN through a number of projects to design and deliver climate compatible development (CCD) plans and policies. To

390

Nepal Sectoral Climate impacts Economic Assessment | Open Energy  

Open Energy Info (EERE)

Sectoral Climate impacts Economic Assessment Sectoral Climate impacts Economic Assessment Jump to: navigation, search Name Nepal Sectoral Climate impacts Economic Assessment Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner Ministry of Environment for Government of Nepal Sector Climate Focus Area Agriculture, Forestry, Greenhouse Gas, Industry, Land Use, People and Policy, Water Conservation Topics Low emission development planning Website http://cdkn.org/2011/11/call-f Country Nepal Southern Asia References Nepal Sectoral Climate impacts Economic Assessment[1] CDKN is providing support to the GoN through a number of projects to design and deliver climate compatible development (CCD) plans and policies. To

391

Energy-Sector Stakeholders Attend the Department of Energy's 2010  

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

Energy-Sector Stakeholders Attend the Department of Energy's 2010 Energy-Sector Stakeholders Attend the Department of Energy's 2010 Cybersecurity for Energy Delivery Systems Peer Review Energy-Sector Stakeholders Attend the Department of Energy's 2010 Cybersecurity for Energy Delivery Systems Peer Review The Department of Energy conducted a Peer Review of its Cybersecurity for Energy Delivery Systems (CEDS) Research and Development Program on July 20-22, 2010 during which 28 R&D projects were presented for review by industry stakeholders. More than 65 energy sector stakeholders came to network, present, and learn about DOE projects, while more than 20 joined in by webinar. Energy Sector Stakeholders Attend the Department of Energy's 2010 Cybersecurity for Energy Delivery Systems Peer Review More Documents & Publications

392

Energy Sector-Specific Plan: An Annex to the National Infrastructure  

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

Sector-Specific Plan: An Annex to the National Sector-Specific Plan: An Annex to the National Infrastructure Protection Plan Energy Sector-Specific Plan: An Annex to the National Infrastructure Protection Plan In its role as the lead Sector-Specific Agency for the Energy Sector, the Department of Energy has worked closely with dozens of government and industry partners to prepare this updated 2010 Energy Sector-Specific Plan (SSP). Much of that work was conducted through the two Energy Sector Coordinating Councils (SCCs) and the Energy Government Coordinating Council (GCC). Energy Sector-Specific Plan: An Annex to the National Infrastructure Protection Plan More Documents & Publications National Infrastructure Protection Plan Energy: Critical Infrastructure and Key Resources Sector-Specific Plan as

393

Climate VISION: Private Sector Initiatives: Aluminum: GHG Inventory  

Office of Scientific and Technical Information (OSTI)

GHG Inventory Protocols GHG Inventory Protocols EPA/IAI PFC Measurement Protocol (PDF 243 KB) Download Acrobat Reader EPA and the International Aluminium Institute have collaborated with the global primary aluminium industry to develop a standard facility-specific PFC emissions measurement protocol. Use of the protocol will help ensure the consistency and accuracy of measurements. International Aluminum Institute's Aluminum Sector Greenhouse Gas Protocol (PDF 161 KB) Download Acrobat Reader The International Aluminum Institute (IAI) Aluminum Sector Addendum to the WBCSD/WRI Greenhouse Gas Protocol enhances and expands for the aluminum sector the World Business Council for Sustainable Development/World Resources Institute greenhouse gas corporate accounting and reporting protocol.

394

Evolution of industrial automation  

Science Conference Proceedings (OSTI)

Automation has been of high priority for the manufacturing sector, from Ford's first set of Model-T Assembly lines in the early 1920s to the modern factory floor. With appropriate automation, the aim was to rationalise the production and keep ... Keywords: Ethernet, architecture, automated manufacturing, bus topology, control servers, distributed control, economies of scale, embedded intelligence, functionality, fuzzy logic, global village, graphic panel, industrial automation, networking, networks

R. Murugesan

2006-03-01T23:59:59.000Z

395

Heavy Flavor & Dark Sector  

E-Print Network (OSTI)

We consider some contributions to rare processes in $B$ meson decays from a Dark Sector containing 2 light unstable scalars, with large couplings to each other and small mixings with Standard Model Higgs scalars. We show that existing constraints allow for an exotic contribution to high multiplicity final states with a branching fraction as large as $\\mathcal{O}(10^{-4})$, and that exotic particles could appear as narrow resonances or long lived particles which are mainly found in high multiplicity final states from $B$ decays.

Nelson, Ann E

2013-01-01T23:59:59.000Z

396

Hon Hai Precision Industry Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Hon Hai Precision Industry Co Ltd Jump to: navigation, search Name Hon Hai Precision Industry Co Ltd Place Tu-Cheng City, Taiwan Zip 236 Sector Solar Product Taiwan-based...

397

THE OCEAN TECHNOLOGY SECTOR IN ATLANTIC CANADA Volume 2: Potential Public Sector Demand Submitted to the  

E-Print Network (OSTI)

Volume 1: Profile and Impact, the companion to this volume, details the economic importance of the industry in the region and its principal markets. ACKNOWLEDGEMENT The authors wish to thank the numerous government and private sector personnel who contributed their time, knowledge and support for the preparation of this 2-volume study. We would particularly like to thank the interviewees. The authors have also benefited from the generous advice and guidance received from the project Steering Committee,

Aczisc Secretariat

2006-01-01T23:59:59.000Z

398

Mexico-NAMA on Reducing GHG Emissions in the Cement Sector | Open Energy  

Open Energy Info (EERE)

Mexico-NAMA on Reducing GHG Emissions in the Cement Sector Mexico-NAMA on Reducing GHG Emissions in the Cement Sector Jump to: navigation, search Name CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector Agency/Company /Organization Center for Clean Air Policy (CCAP) Sector Energy Focus Area Industry, - Industrial Processes Topics Implementation, Low emission development planning, -NAMA, Market analysis, Policies/deployment programs Website http://www.ccap.org/docs/resou Program Start 2011 Program End 2011 Country Mexico UN Region Central America References CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector[1] CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector Screenshot "This interim report presents the preliminary results of the first phase of the study - an evaluation of sectoral approach issues and opportunities

399

CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector | Open  

Open Energy Info (EERE)

CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector Jump to: navigation, search Name CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector Agency/Company /Organization Center for Clean Air Policy (CCAP) Sector Energy Focus Area Industry, - Industrial Processes Topics Implementation, Low emission development planning, -NAMA, Market analysis, Policies/deployment programs Website http://www.ccap.org/docs/resou Program Start 2011 Program End 2011 Country Mexico UN Region Central America References CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector[1] CCAP-Mexico-NAMA on Reducing GHG Emissions in the Cement Sector Screenshot "This interim report presents the preliminary results of the first phase of the study - an evaluation of sectoral approach issues and opportunities

400

Assessment of Energy Efficiency Improvement and CO2 Emission Reduction Potentials in the Iron and Steel Industry in China  

E-Print Network (OSTI)

Steel Industry. An ENERGY STAR Guide for Energy and Plantguide policy makers in designing better sector-specific energy

Hasanbeigi, Ali

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial sector output" 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

VAWT Industries Inc | Open Energy Information  

Open Energy Info (EERE)

Zip 89118 Sector Wind energy Product Focused on design, production, and marketing of wind turbines in the 0.1-0.5MW range. References VAWT Industries Inc1 LinkedIn...

402

Industrial energy efficiency policy in China  

E-Print Network (OSTI)

Economic Indicators," Energy Policy 25(7'-9): 727-744. X u ,Best Practice Energy Policies in the Industrial Sector, Mayand Intensity Change," Energy Policy 22(3): Sinton, J.E.

Price, Lynn; Worrell, Ernst; Sinton, Jonathan; Yun, Jiang

2001-01-01T23:59:59.000Z

403

Boosting America's Hydropower Output | Department of Energy  

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

Boosting America's Hydropower Output Boosting America's Hydropower Output Boosting America's Hydropower Output October 9, 2012 - 2:10pm Addthis The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado.

404

PV output smoothing with energy storage.  

SciTech Connect

This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

Ellis, Abraham; Schoenwald, David Alan

2012-03-01T23:59:59.000Z

405

Private sector cautious on Pemex reorganization  

Science Conference Proceedings (OSTI)

Private sector interest in the privatization of the petrochemical subsidiaries of Mexico`s state oil company Petroleos Mexicanos (Pemex) will hinge on the government`s decisions on minority ownership, says Raul Millares, president of Aniq, the Mexican chemical industry association. The murkiest issues are how the subsidiaries will be operated and what rights minority owners will have. {open_quotes}The question is who is going to manage the subsidiaries on a day-to-day basis,{close_quotes} says Millares. {open_quotes}There is a lot of doubt as to whether private companies will be able to get the flexibility they need.{close_quotes}

Sissell, K.

1997-03-19T23:59:59.000Z

406

Research Output from Pakistan This analysis takes into account the Publications from Pakistani Universities,  

E-Print Network (OSTI)

Research Output from Pakistan This analysis takes into account the Publications from Pakistani NONE 01 68. University of Management & Technology NONE 01 Other Institutions 1. Pakistan Institute of Nuclear Science & Technology 106 171 2. Pakistan Council for Scientific & Industrial Research 38 110 3

Siddiqi, Sajjad Ahmed

407

Sector 1 - Software  

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

APS Software APS Software Scientists and researchers at the APS develop custom scientific software to help with acquisition and analysis of beamline data. Several packages are available for a variety of platforms and uses. Data Acquisition Motion control and data collection at the 1-BM and 1-ID beamlines are primarily executed using EPICS software. We also utilize SPEC, running through EPICS, for many experiments. Data Analysis Some of the programs used at Sector 1 to analyse 1-d and/or 2-d data sets are described: Fit2d, for viewing and analysing 2-dimensional data Igor, for analysis of small-angle scattering data Matlab, for strain/texture analysis and image analysis. GSAS/EXPGUI, for structural refinement of diffraction data. A comprehensive list of Powder Diffraction Software and Resources can be

408

Louisville Private Sector Agenda  

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

Thursday, December 13, 2007 Thursday, December 13, 2007 9:00 AM - 12:00 PM Agenda * Welcome and introductions from the Mayor (9:00-9:15) o The Mayor's energy and climate protection goals for Louisville o Request for private sector input for the upcoming public-private partnership to promote increased energy efficiency in buildings throughout the Louisville community o Highlights from the December 12 meeting of the ENERGY STAR Challenge implementation group o Introduction to Metro's Green Initiative and goals for today's session * Getting started with ENERGY STAR (9:15-10:00) o Introduction to the program and overview of ENERGY STAR resources o Kentucky and regional ENERGY STAR Partners and labeled buildings o Simple steps for energy savings o The benefits of energy savings

409

Sector 6 Publications  

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

0 0 2009 2008 2007 2006 2005 2004 2003 2002 2001 APS Pubs. Database Sector 6 Publications Publications 2013:(45) "Classical and quantum phase transitions revealed using transport and x-ray measurements," Arnab Banerjee, Ph.D.-Thesis, University of Chicago, 2013. "Charge transfer and multiple density waves in the rare earth tellurides," A. Banerjee, Yejun Feng, D.M. Silevitch, Jiyang Wang, J.C. Lang, H.-H. Kuo, I.R. Fisher, T.F. Rosenbaum, Phys. Rev. B 87, 155131 (2013). "Controlling Size-Induced Phase Transformations Using Chemically Designed Nanolaminates," Matt Beekman, Sabrina Disch, Sergei Rouvimov, Deepa Kasinathan, Klaus Koepernik, Helge Rosner, Paul Zschack, Wolfgang S. Neumann, David C. Johnson, Angew. Chem. Int. Ed. 52, 13211 (2013).

410

Energy Sector Market Analysis  

SciTech Connect

This paper presents the results of energy market analysis sponsored by the Department of Energy's (DOE) Weatherization and International Program (WIP) within the Office of Energy Efficiency and Renewable Energy (EERE). The analysis was conducted by a team of DOE laboratory experts from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL), and Pacific Northwest National Laboratory (PNNL), with additional input from Lawrence Berkeley National Laboratory (LBNL). The analysis was structured to identify those markets and niches where government can create the biggest impact by informing management decisions in the private and public sectors. The analysis identifies those markets and niches where opportunities exist for increasing energy efficiency and renewable energy use.

Arent, D.; Benioff, R.; Mosey, G.; Bird, L.; Brown, J.; Brown, E.; Vimmerstedt, L.; Aabakken, J.; Parks, K.; Lapsa, M.; Davis, S.; Olszewski, M.; Cox, D.; McElhaney, K.; Hadley, S.; Hostick, D.; Nicholls, A.; McDonald, S.; Holloman, B.

2006-10-01T23:59:59.000Z

411

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network (OSTI)

of China‘s iron and steel industry. ? Int. J. Productionof China‘s iron and steel industry. ? Int. J. ProductionAfter the iron and steel sub-sector, the industries with the

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

412

Review of U.S. ESCO industry market trends: An empirical analysis of project data  

E-Print Network (OSTI)

sector energy efficiency services industry and market trendsof US ESCO Industry Market Trends site energy basis (1 kWh =suspect that energy Review of US ESCO Industry Market Trends

Goldman, Charles A.; Hopper, Nicole C.; Osborn, Julie G.; Singer, Terry E.

2003-01-01T23:59:59.000Z

413

Electric Power Sector  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Electric Power Sector Hydroelectric Power (a) ............... 0.670 0.785 0.653 0.561 0.633 0.775 0.631 0.566 0.659 0.776 0.625 0.572 2.668 2.605 2.633 Wood Biomass (b) ........................ 0.048 0.043 0.052 0.046 0.045 0.039 0.051 0.052 0.055 0.049 0.060 0.054 0.190 0.187 0.218 Waste Biomass (c) ....................... 0.063 0.064 0.066 0.069 0.061 0.063 0.063 0.064 0.062 0.065 0.068 0.065 0.262 0.250 0.261 Wind ............................................. 0.376 0.361 0.253 0.377 0.428 0.461 0.315 0.400 0.417 0.461 0.340 0.424 1.368 1.604 1.641 Geothermal ................................. 0.036 0.037 0.038 0.039 0.041 0.041 0.041 0.042 0.041 0.040 0.041 0.042 0.149 0.164 0.165 Solar ............................................. 0.007 0.022 0.021 0.014 0.013 0.022 0.026 0.016 0.021 0.048 0.048 0.025 0.064

414

Program Program Organization Country Region Topic Sector Sector  

Open Energy Info (EERE)

Program Organization Country Region Topic Sector Sector Program Organization Country Region Topic Sector Sector Albania Enhancing Capacity for Low Emission Development Strategies EC LEDS Albania Enhancing Capacity for Low Emission Development Strategies EC LEDS United States Agency for International Development USAID United States Environmental Protection Agency United States Department of Energy United States Department of Agriculture United States Department of State Albania Southern Asia Low emission development planning LEDS Energy Land Climate Algeria Clean Technology Fund CTF Algeria Clean Technology Fund CTF African Development Bank Asian Development Bank European Bank for Reconstruction and Development EBRD Inter American Development Bank IDB World Bank Algeria South Eastern Asia Background analysis Finance Implementation

415

Climate VISION: Private Sector Initiatives: Cement  

Office of Scientific and Technical Information (OSTI)

GHG Information GHG Information This section provides various sources describing the energy consumption of the industrial sector and the carbon emissions in particular. Below is an estimate of the emissions expressed in million metric tons of carbon equivalents (MMTCE) based upon the Annual Energy Outlook 2003. According to EIA "Annual Energy Outlook 2003" data, energy-related CO2 emissions for the cement industry were 8.3 MMTCE in 2002, and process-related CO2 emissions were approximately 11.4 MMTCE for a total of 19.7 MMTCE. (The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2003 using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2000-2025. The AEO2003 reflects data and information available as of

416

Industrial Energy Use and Energy Efficiency in Developing Countries  

E-Print Network (OSTI)

The industrial sector accounts for over 50% of energy used in developing countries. Growth in this sector has been over 4.5% per year since 1980. Energy intensity trends for four energy-intensive sub-sectors (iron and steel, chemicals, building materials, and pulp and paper) are reviewed. Scenarios of future industrial sector energy use in developing countries show that this region will dominate world industrial energy use in 2020. Growth is expected to be about 3.0% per year in a business-as-usual case, but can be reduced using state-of-the art or advanced technologies. Polices to encourage adoption of these technologies are briefly discussed.

Price, L.; Martin, N.; Levine, M. D.; Worrell, E.

1996-04-01T23:59:59.000Z

417

Industry insight Energy and utilities In a nutshell  

E-Print Network (OSTI)

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

Martin, Ralph R.

418

Multiple output timing and trigger generator  

SciTech Connect

In support of the development of a multiple stage pulse modulator at the Los Alamos National Laboratory, we have developed a first generation, multiple output timing and trigger generator. Exploiting Commercial Off The Shelf (COTS) Micro Controller Units (MCU's), the timing and trigger generator provides 32 independent outputs with a timing resolution of about 500 ns. The timing and trigger generator system is comprised of two MCU boards and a single PC. One of the MCU boards performs the functions of the timing and signal generation (the timing controller) while the second MCU board accepts commands from the PC and provides the timing instructions to the timing controller. The PC provides the user interface for adjusting the on and off timing for each of the output signals. This system provides 32 output or timing signals which can be pre-programmed to be in an on or off state for each of 64 time steps. The width or duration of each of the 64 time steps is programmable from 2 {micro}s to 2.5 ms with a minimum time resolution of 500 ns. The repetition rate of the programmed pulse train is only limited by the time duration of the programmed event. This paper describes the design and function of the timing and trigger generator system and software including test results and measurements.

Wheat, Robert M. [Los Alamos National Laboratory; Dale, Gregory E [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

419

Sector 9 | Operations and Schedule  

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

Sector 9 Operations and Schedule Contents: 9-ID User Manual 9-BM User Manual Common Tasks Computers and Software Troubleshooting Web Cameras...

420

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

condensate recovery, a closed hood for heat recovery, as well as integration of the various steam and

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

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial sector output" 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

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

in a back-pressure steam turbine to generate electricity (compressor uses a steam turbine, using internally generatedwith a gas turbine, producing steam and electricity. The hot

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

2007-01-01T23:59:59.000Z

422

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

electricity generation, transmission, and distributionelectricity generation, transmission, and distributionelectricity generation, transmission, and distribution

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

2007-01-01T23:59:59.000Z

423

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

10 2.1.3 Direct Reduced Iron – Electric ArcThin Slab Casting Direct Reduced Iron – Electric ArcThin Slab Casting Direct Reduced Iron – Electric Arc

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

2007-01-01T23:59:59.000Z

424

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

by combining the gasification of coal with the meltin black liquor gasification has not yet resulted in aof heavy fuel oil, gasification of coal, and electrolysis.

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

2007-01-01T23:59:59.000Z

425

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

An ENERGY STAR ® Guide for Energy and Plant Managers.An ENERGY STAR ® Guide for Energy and Plant Managers.

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

2007-01-01T23:59:59.000Z

426

Energy Efficiency Report:--Chapter 6: Industrial Sector  

U.S. Energy Information Administration (EIA)

... the diversity of processes and ways in which energy is consumed makes it difficult to single out characteristics that drive energy consumption activities for ...

427

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

cracking and alternative processes,” Energy 31 (2006), pp.cracking and alternative processes,” Energy 31 (2006), pp.cracking and alternative processes,” Energy 31 (2006), pp.

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

2007-01-01T23:59:59.000Z

428

Table E5. Industrial Sector Energy Price Estimates, 2011 ...  

U.S. Energy Information Administration (EIA)

a Natural gas as it is consumed; includes supplemental gaseous fuels that are commingled with natural gas. f There are no direct fuel costs for ...

429

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

feedstock would use a coal gasifier to convert the coal tosynthesis gas. Most coal gasifier-based ammonia plants areof a modern entrained bed gasifier, selexol gas cleanup and

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

2007-01-01T23:59:59.000Z

430

System dynamics model of construction output in Kenya.  

E-Print Network (OSTI)

??This study investigates fluctuations of construction output, and growth of the output in Kenya. Fluctuation and growth of construction activity are matters of concern in… (more)

Mbiti, T

2008-01-01T23:59:59.000Z

431

Industrial Retrofits are Possible  

E-Print Network (OSTI)

Ontario is the industrial heartland of Canada and more than 80% of its energy comes from Canadian sources with the remainder from the neighbouring U.S. states. Because of the ever increasing demand for energy relating to increased economic activity, the provincial government's major energy priority is efficiency. In April of 1987, the provincial government initiated a program to assist industrial energy users to reduce their energy usage. This program was designed to concentrate on an in-depth analysis of the complete operations of industrial plants with the analyses being performed by specialist, private sector, engineering consultants. The program is in 3 phases providing an Ontario industrial plant with an Energy Analysis, a Feasibility Analysis Grant and a Project Engineering Design Grant. In this presentation, the author will outline the results of the program to date and will attempt to share with the audience the individual case experiences. Since the program's start, the Ontario Ministry of Energy has completed over 320 energy analyses of industrial plants which had combined energy bills of over $420 million. The potential annual energy savings identified were over $40 million or 9.51%. Electricity and natural gas are the major fuels used by Ontario industries and our surveys to date have shown savings of 6% in electricity and 11% in natural gas. Over the first two years of the program, individual plants have or are intending to implement more than half of the energy analysis recommendations.

Stobart, E. W.

1990-06-01T23:59:59.000Z

432

Waste Heat Recovery in Industrial Facilities  

Science Conference Proceedings (OSTI)

Low-temperature waste heat streams account for the majority of the industrial waste heat inventory. With a reference temperature of 60°F (16°C), 65% of the waste heat is below 450°F (232°C) and 99% is below 1,200°F (649°C). With a reference temperature of 300°F (149°C), 14% of the waste heat is below 450°F, and 96% is below 1,200°F. Waste heat is concentrated in a few industrial manufacturing sectors. Based on a review of 21 manufacturing sectors, the top two sectors that produce waste heat are petroleu...

2010-12-20T23:59:59.000Z

433

Major models and data sources for residential and commercial sector energy conservation analysis. Final report  

SciTech Connect

Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.

Not Available

1980-09-01T23:59:59.000Z

434

Industry Sponsored Research | Partnerships | ORNL  

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

Partnering Mechanism Sample Sponsored Research Agreement SBIR-STTR Support Economic Development Industrial Partnerships University Partnerships Events and Conferences Success Stories Video Newsletters Staff Contacts Partnerships Home | Connect with ORNL | For Industry | Partnerships | Sponsored Research SHARE Sponsored Research Fiber Optic Research The Oak Ridge National Laboratory is a United States Department of Energy national laboratory, operated under contract by UT-Battelle, LLC. The laboratory's 1500+ research scientists and engineers conduct a vigorous program of scientific discovery and technology development, and ORNL is eager to engage industry in partnerships to help translate its research output into market impact and support for U.S. competitiveness. Companies wishing to learn about the research being

435

The Greenhouse Gas Protocol Initiative: Sector Specific Tools | Open Energy  

Open Energy Info (EERE)

Gas Protocol Initiative: Sector Specific Tools Gas Protocol Initiative: Sector Specific Tools Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Sector Specific Tools Agency/Company /Organization: World Resources Institute, World Business Council for Sustainable Development Sector: Energy, Climate Focus Area: Industry, Greenhouse Gas Phase: Determine Baseline, Evaluate Effectiveness and Revise as Needed Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.ghgprotocol.org/calculation-tools/all-tools Cost: Free References: The Greenhouse Gas Protocol Initiative: GHG Emissions from Purchased Electricity[1] The Greenhouse Gas Protocol Initiative: GHG Emissions from Stationary Combustion[2] The Greenhouse Gas Protocol Initiative: GHG Emissions from Transport or Mobil Sources[3]

436

Energy Sector Control Systems Working Group to Meet March 25, 2008 |  

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

Sector Control Systems Working Group to Meet March 25, 2008 Sector Control Systems Working Group to Meet March 25, 2008 Energy Sector Control Systems Working Group to Meet March 25, 2008 The Energy Sector Control Systems Working Group is a unique public-private partnership recently formed to help guide implementation of the priorities identified in the industry-led Roadmap to Secure Control Systems in the Energy Sector. The group seeks to provide a platform for pursuing innovative and practical activities that will improve the security of the control systems that manage our nation's energy infrastructure. The Group will meet March 25, 2008 in St. Louis Missouri to focus on four objectives: Help identify and implement practical, near-term activities that are high priority for the industry Promote the value to the industry of achieving the goals of the

437

Energy Sector Control Systems Working Group to Meet March 25, 2008 |  

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

Energy Sector Control Systems Working Group to Meet March 25, 2008 Energy Sector Control Systems Working Group to Meet March 25, 2008 Energy Sector Control Systems Working Group to Meet March 25, 2008 The Energy Sector Control Systems Working Group is a unique public-private partnership recently formed to help guide implementation of the priorities identified in the industry-led Roadmap to Secure Control Systems in the Energy Sector. The group seeks to provide a platform for pursuing innovative and practical activities that will improve the security of the control systems that manage our nation's energy infrastructure. The Group will meet March 25, 2008 in St. Louis Missouri to focus on four objectives: Help identify and implement practical, near-term activities that are high priority for the industry Promote the value to the industry of achieving the goals of the

438

Innovative New Industrial Technologies: An Industry/DOE Joint Endeavor  

E-Print Network (OSTI)

The Department of Energy’s Office of Industrial Programs supports research and development leading to improved energy efficiency and greater overall productivity in the industrial sector. Its basic strategy is a program of cost-shared R&D, incorporating projects with such risk that the private sector will not pursue them independently. This paper describes the Office’s major activities, operating premises and research areas. Policy considerations affecting the program’s content are identified and criteria applied in project selection are discussed. Achievement of constructive industry involvement in program development and review is viewed as vital to success. This goal, and the means by which it is being pursued, are emphasized.

Gross, T. J.

1986-06-01T23:59:59.000Z

439

Industrial Carbon Management Initiative (ICMI)  

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

Industrial Carbon Management Initiative Industrial Carbon Management Initiative (ICMI) Background The ICMI project is part of a larger program called Carbon Capture Simulation and Storage Initiative (C2S2I). The C2S2I has a goal of expanding the DOE's focus on Carbon Capture Utilization and Storage (CCUS) for advanced coal power systems and other applications, including the use of petroleum coke as a feedstock for the industrial sector. The American Recovery and Re-Investment Act (ARRA)-funded

440

Characterizing output bottlenecks in a supercomputer  

SciTech Connect

Supercomputer I/O loads are often dominated by writes. HPC (High Performance Computing) file systems are designed to absorb these bursty outputs at high bandwidth through massive parallelism. However, the delivered write bandwidth often falls well below the peak. This paper characterizes the data absorption behavior of a center-wide shared Lustre parallel file system on the Jaguar supercomputer. We use a statistical methodology to address the challenges of accurately measuring a shared machine under production load and to obtain the distribution of bandwidth across samples of compute nodes, storage targets, and time intervals. We observe and quantify limitations from competing traffic, contention on storage servers and I/O routers, concurrency limitations in the client compute node operating systems, and the impact of variance (stragglers) on coupled output such as striping. We then examine the implications of our results for application performance and the design of I/O middleware systems on shared supercomputers.

Xie, Bing [Duke University; Chase, Jeffrey [Duke University; Dillow, David A [ORNL; Drokin, Oleg [Intel Corporation; Klasky, Scott A [ORNL; Oral, H Sarp [ORNL; Podhorszki, Norbert [ORNL

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial sector output" 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

UFO - The Universal FeynRules Output  

E-Print Network (OSTI)

We present a new model format for automatized matrix-element generators, the so- called Universal FeynRules Output (UFO). The format is universal in the sense that it features compatibility with more than one single generator and is designed to be flexible, modular and agnostic of any assumption such as the number of particles or the color and Lorentz structures appearing in the interaction vertices. Unlike other model formats where text files need to be parsed, the information on the model is encoded into a Python module that can easily be linked to other computer codes. We then describe an interface for the Mathematica package FeynRules that allows for an automatic output of models in the UFO format.

Degrande, Céline; Fuks, Benjamin; Grellscheid, David; Mattelaer, Olivier; Reiter, Thomas

2011-01-01T23:59:59.000Z

442

UFO - The Universal FeynRules Output  

E-Print Network (OSTI)

We present a new model format for automatized matrix-element generators, the so- called Universal FeynRules Output (UFO). The format is universal in the sense that it features compatibility with more than one single generator and is designed to be flexible, modular and agnostic of any assumption such as the number of particles or the color and Lorentz structures appearing in the interaction vertices. Unlike other model formats where text files need to be parsed, the information on the model is encoded into a Python module that can easily be linked to other computer codes. We then describe an interface for the Mathematica package FeynRules that allows for an automatic output of models in the UFO format.

Céline Degrande; Claude Duhr; Benjamin Fuks; David Grellscheid; Olivier Mattelaer; Thomas Reiter

2011-08-09T23:59:59.000Z

443

Monitoring of Photovoltaic Plant Output and Variability  

Science Conference Proceedings (OSTI)

The performance of photovoltaic (PV) systems, including variability characteristics, is of increasing interest to utilities as they integrate more solar energy onto the electric grid. This study is part of a multi-year research series to investigate influencing factors that affect PV plant output, variability, and approaches to system management. It explores PV variability both from a grid perspective and through examination of project design aspects that can affect annual power production. ...

2012-12-12T23:59:59.000Z

444

Industrial Energy Efficient Technology Guide 2007  

Science Conference Proceedings (OSTI)

This report updates the Industrial Energy Efficient Technology Reference Guide, previously known as the Electrotechnology Reference Guide. The last version of the Electrotechnology Reference Guide was published in 1992. This 2007 edition specifically updates information on industrial-sector energy consumption and the status of energy efficient technologies.

2007-07-31T23:59:59.000Z

445

Industrial energy efficiency policy in China  

SciTech Connect

Chinese industrial sector energy-efficiency policy has gone through a number of distinct phases since the founding of the People s Republic in 1949. An initial period of energy supply growth in the 1950s, 1960s, and 1970s was followed by implementation of significant energy efficiency programs in the 1980s. Many of these programs were dismantled in the 1990s during the continuing move towards a market-based economy. In an effort to once again strengthen energy efficiency, the Chinese government passes the Energy Conservation Law in 1997 which provides broad guidance for the establishment of energy efficiency policies. Article 20 of the Energy Conservation Law requires substantial improvement in industrial energy efficiency in the key energy-consuming industrial facilities in China. This portion of the Law declares that ''the State will enhance energy conservation management in key energy consuming entities.'' In 1999, the industrial sector consumed nearly 30 EJ, or 76 percent of China's primary energy. Even though primary energy consumption has dropped dramatically in recent years, due mostly to a decline in coal consumption, the Chinese government is still actively developing an overall policy for energy efficiency in the industrial sector modeled after policies in a number of industrialized countries. This paper will describe recent Chinese government activities to develop industrial sector energy-efficiency targets as a ''market-based'' mechanism for improving the energy efficiency of key industrial facilities.

Price, Lynn; Worrell, Ernst; Sinton, Jonathan; Yun, Jiang

2001-05-01T23:59:59.000Z

446

Single Inductor Dual Output Buck Converter  

E-Print Network (OSTI)

The portable electronics market is rapidly migrating towards more compact devices with multiple functionalities. Form factor, performance, cost and efficiency of these devices constitute the factors of merit of devices like cell phones, MP3 players and PDA's. With advancement in technology and more intelligent processors being used, there is a need for multiple high integrity voltage supplies for empowering the systems in portable electronic devices. Switched mode power supplies (SMPS's) are used to regulate the battery voltage. In an SMPS, maximum area is taken by the passive components such as the inductor and the capacitor. This work demonstrates a single inductor used in a buck converter with two output voltages from an input battery with voltage of value 3V. The main focus areas are low cross regulation between the outputs and supply of completely independent load current levels while maintaining desired values (1.2V,1.5V) within well controlled ripple levels. Dynamic hysteresis control is used for the single inductor dual output buck converter in this work. Results of schematic and post layout simulations performed in CADENCE prove the merits of this control method, such as nil cross regulation and excellent transient response.

Eachempatti, Haritha

2009-05-01T23:59:59.000Z

447

Characterizing detonator output using dynamic witness plates  

SciTech Connect

A sub-microsecond, time-resolved micro-particle-image velocimetry (PIV) system is developed to investigate the output of explosive detonators. Detonator output is directed into a transparent solid that serves as a dynamic witness plate and instantaneous shock and material velocities are measured in a two-dimensional plane cutting through the shock wave as it propagates through the solid. For the case of unloaded initiators (e.g. exploding bridge wires, exploding foil initiators, etc.) the witness plate serves as a surrogate for the explosive material that would normally be detonated. The velocity-field measurements quantify the velocity of the shocked material and visualize the geometry of the shocked region. Furthermore, the time-evolution of the velocity-field can be measured at intervals as small as 10 ns using the PIV system. Current experimental results of unloaded exploding bridge wire output in polydimethylsiloxane (PDMS) witness plates demonstrate 20 MHz velocity-field sampling just 300 ns after initiation of the wire.

Murphy, Michael John [Los Alamos National Laboratory; Adrian, Ronald J [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

448

Industrial Applications  

Science Conference Proceedings (OSTI)

Table 2   Frequently used rubber linings in other industries...Application Lining Power industry Scrubber towers Blended chlorobutyl Limestone slurry tanks Blended chlorobutyl Slurry piping Blended chlorobutyl 60 Shore A hardness natural rubber Seawater cooling water

449

Industrial Buildings  

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

Industrial Industrial Industrial / Manufacturing Buildings Industrial/manufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey (MECS). See the MECS home page for further information. Commercial buildings found on a manufacturing industrial complex, such as an office building for a manufacturer, are not considered to be commercial if they have the same owner and operator as the industrial complex. However, they would be counted in the CBECS if they were owned and operated independently of the manufacturing industrial complex. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/industrial.html

450

Presentation 2.2: Biofuels -A Strategic Option for the Global Forest Sector? Michael Obersteiner  

E-Print Network (OSTI)

Presentation 2.2: Biofuels - A Strategic Option for the Global Forest Sector? Michael Obersteiner Generation Biofuels. We will close with a SWOT analysis of the forest sector vis-à-vis the oil industry the emerging big player on the biofuels market. 117 #12;#12;Michael Obersteiner & Sten Nilsson International

451

Comparison of CAISO-run Plexos output with LLNL-run Plexos output  

SciTech Connect

In this report we compare the output of the California Independent System Operator (CAISO) 33% RPS Plexos model when run on various computing systems. Specifically, we compare the output resulting from running the model on CAISO's computers (Windows) and LLNL's computers (both Windows and Linux). We conclude that the differences between the three results are negligible in the context of the entire system and likely attributed to minor differences in Plexos version numbers as well as the MIP solver used in each case.

Schmidt, A; Meyers, C; Smith, S

2011-12-20T23:59:59.000Z

452

Industries Affected  

Science Conference Proceedings (OSTI)

Table 2   Industries affected by microbiologically influenced corrosion...generation: nuclear, hydro, fossil fuel,

453

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)

454

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)

455

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)

456

Roadmap to Secure Control Systems in the Energy Sector - 2006 | Department  

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

- 2006 - 2006 Roadmap to Secure Control Systems in the Energy Sector - 2006 This document, the Roadmap to Secure Control Systems in the Energy Sector, outlines a coherent plan for improving cyber security in the energy sector. It is the result of an unprecedented collaboration between the energy sector and government to identify concrete steps to secure control systems used in the electricity, oil, and natural gas sectors over the next ten years. The Roadmap provides a strategic framework for guiding industry and government efforts based on a clear vision supported by goals and time-based milestones. It addresses the energy sector's most urgent challenges as well as longer-term needs and practices. Roadmap to Secure Control Systems in the Energy Sector More Documents & Publications

457

Coal industry annual 1996  

Science Conference Proceedings (OSTI)

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States.This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 24 million short tons for 1996. 14 figs., 145 tabs.

NONE

1997-11-01T23:59:59.000Z

458

Coal Industry Annual 1995  

SciTech Connect

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 21 million short tons for 1995.

1996-10-01T23:59:59.000Z

459

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

Gasoline and Diesel Fuel Update (EIA)

0. Comparisons of energy consumption by sector projections, 2025, 2035, and 2040 0. Comparisons of energy consumption by sector projections, 2025, 2035, and 2040 (quadrillion Btu) Sector AEO2013 Reference INFORUM IHSGI ExxonMobil IEA 2011 Residential 11.3 11.5 10.8 -- -- Residential excluding electricity 6.4 6.6 6.0 5.0 -- Commercial 8.6 8.6 8.5 -- -- Commercial excluding electricity 4.1 4.1 4.0 4.0 -- Buildings sector 19.9 20.1 19.3 -- 19.3a Industrial 24.0 23.6 -- -- 23.7a Industrial excluding electricity 20.7 20.2 -- 20.0 -- Lossesb 0.7 -- -- -- -- Natural gas feedstocks 0.5 -- -- -- -- Industrial removing losses and feedstocks 22.9 -- 21.7 -- -- Transportation 27.1 27.2 26.2 27.0 23.1a Electric power 39.4 39.2 40.5 37.0 37.2a Less: electricity demandc 12.7 12.8 12.7 -- 15.0a

460

Electrotechnology Applications in Industrial Process Heating  

Science Conference Proceedings (OSTI)

Electrotechnology applications in industrial process heating are discussed in this technical update. This report builds on the research activities from the previous years and adds new and emerging process heating technologies. The primary focus is given to energy intensive industrial sectors such as primary metals and metal treatment. Successful implementation of the electrotechnologies in various industry applications are also presented in the form of case studies. The technical update also ...

2012-11-26T23:59:59.000Z

Note: This page contains sample records for the topic "industrial sector output" 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

Private Sector Initiative Between the U.S. and Japan  

Science Conference Proceedings (OSTI)

OAK-A258 Private Sector Initiative Between the U.S. and Japan. This report for calendar years 1993 through September 1998 describes efforts performed under the Private Sector Initiatives contract. The report also describes those efforts that have continued with private funding after being initiated under this contract. The development of a pyrochemical process, called TRUMP-S, for partitioning actinides from PUREX waste, is described in this report. This effort is funded by the Central Research Institute of Electric Power Industry (CRIEPI), KHI, the United States Department of Energy, and Boeing.

None

1998-09-30T23:59:59.000Z

462

Coal industry annual 1993  

Science Conference Proceedings (OSTI)

Coal Industry Annual 1993 replaces the publication Coal Production (DOE/FIA-0125). This report presents additional tables and expanded versions of tables previously presented in Coal Production, including production, number of mines, Productivity, employment, productive capacity, and recoverable reserves. This report also presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for a wide audience including the Congress, Federal and State agencies, the coal industry, and the general public. In addition, Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility Power Producers who are not in the manufacturing, agriculture, mining, construction, or commercial sectors. This consumption is estimated to be 5 million short tons in 1993.

Not Available

1994-12-06T23:59:59.000Z

463

Coal industry annual 1997  

Science Conference Proceedings (OSTI)

Coal Industry Annual 1997 provides comprehensive information about US coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves. US Coal production for 1997 and previous years is based on the annual survey EIA-7A, Coal Production Report. This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report includes a national total coal consumption for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. 14 figs., 145 tabs.

NONE

1998-12-01T23:59:59.000Z

464

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network (OSTI)

Pilot Project with the Steel Industry in Shandong Province,reported that the steel industry – which is the sector withof China’s Steel Industry Down 8.8%. www.chinaview.cn

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

465

Energy conserving automatic light output system  

SciTech Connect

An energy conserving lighting system is provided wherein a plurality of fluorescent lamps are powered by a poorly regulated voltage source power supply which provides a decreasing supply voltage with increasing arc current so as to generally match the volt-ampere characteristics of the lamps. A transistor ballast and control circuit connected in the arc current path controls the arc current, and hence the light output, in accordance with the total ambient light, i.e., the light produced by the lamps together with whatever further light is produced by other sources such as daylight. In another embodiment, a transistor ballast is utilized in combination with an inductive ballast. The transistor ballast provides current control over a wide dynamic range up to a design current maximum at which maximum the transistor is saturated and the inductive ballast takes over the current limiting function. An operational amplifier is preferably connected in the base biassing circuit of the control transistor of the transistor ballast. In an embodiment wherein two sets of lamps with separate inductive ballasts are provided, the arc currents for the two ballasts are scaled or matched to provide the desired light output.

Widmayer, D.F.

1983-07-19T23:59:59.000Z

466

Working Paper #76 The Job Generation Impacts of Expanding Industrial Cogeneration  

E-Print Network (OSTI)

Sustainable economic development requires the efficient production and use of energy; combined heat and power (CHP) systems contribute to both of these goals. While a recent executive order set a national goal of 40 GW of new industrial CHP by 2020, the deployment of CHP is challenged by financial, regulatory, and workforce barriers. Discrepancies between private and public interests can be minimized by policies promoting energy-based economic development. In this context, a great deal of rhetoric has addressed the ambiguous goal of growing “green jobs”. Our research provides a systematic evaluation of the job impacts of an investment tax credit (ITC) that would subsidize industrial CHP deployment. We introduce a hybrid analysis approach combining simulations using the National Energy Modeling System (NEMS) with Input-Output modeling. Our results suggest that each GW of installed CHP capacity may be reasonably expected create and maintain 2,000-3,000 full-time equivalent jobs throughout the lifetime of the system. These jobs would include direct jobs in manufacturing, construction, operation and maintenance, as well as other indirect and induced jobs (net of losses in other sectors), both from redirection of industrial energy expenditures and respending of commercial and household energy-bill savings. We discuss implications for industrial policy, affirming the benefits of innovative technology investments and effective policy design. *Corresponding author:

Paul Baer; Marilyn A. Brown; Gyungwon Kim; D. M. Smith Building

2013-01-01T23:59:59.000Z

467

China and India Industrial Efficiency NREL Partnership | Open Energy  

Open Energy Info (EERE)

China and India Industrial Efficiency NREL Partnership China and India Industrial Efficiency NREL Partnership Jump to: navigation, search Logo: China-NREL Industrial Efficiency Partnership Name China-NREL Industrial Efficiency Partnership Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Energy Efficiency, Industry Topics Background analysis Country China Eastern Asia References NREL International Program Overview Abstract In support of the DOE Office of Energy Efficiency and Renewable Energy (EERE) Industrial Technologies Program's (ITP) activities to promote industrial energy efficiency internationally, the NREL industrial communications team is developing a specialized portfolio of technical and outreach materials. "In support of the DOE Office of Energy Efficiency and Renewable Energy

468

Energy Sector Jobs | Department of Energy  

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

Sector Jobs Energy Sector Jobs New Report Highlights Growth of America's Clean Energy Job Sector: Taking a moment to break-down key findings from the latest Clean Energy Jobs...

469

Industry @ ALS  

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

Industry @ ALS Industry @ ALS Industry @ ALS Concrete Industry Benefits from Ancient Romans and the ALS Print Thursday, 17 October 2013 14:24 New insights into the Romans' ingenious concrete harbor structures emerging from ALS beamline research could move the modern concrete industry toward its goal of a reduced carbon footprint. Summary Slide Read more... Moving Industry Forward: Finding the Environmental Opportunity in Biochar Print Thursday, 12 September 2013 08:41 Using ALS Beamlines 10.3.2 and 8.3.2, the Environmental Protection Agency (EPA) is currently investigating how biochar sorbs environmental toxins and which kinds of biochar are the most effective. The possibilities for widespread use have already launched entrepreneurial commercial ventures. Summary Slide

470

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

SciTech Connect

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

1986-11-01T23:59:59.000Z

471

Annual Real Natural Gas Prices by Sector  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Major regulatory reforms at the Federal level began at the end of the 1970s with the passage of the Natural Gas Policy Act, and have affected most phases of the industry and markets Over time the movement to a more competitive model led to lower prices starting around 1983, which was accentuated by the drop in world oil prices in 1986 Gas consumers in all sectors seem to have benefited, on average, from a more competitive marketplace However, several factors have come together recently that have pushed spot gas prices up sharply and which are expected to reverse the downward trend in in real gas prices for the next year or so: U.S. gas production has been relatively flat. Expected demand is high under normal weather assumptions. Gas storage levels are below normal.

472

U.S. Propane Demand Sectors (1996)  

U.S. Energy Information Administration (EIA)

The residential and commercial sector and the chemical sector are the largest end users of propane in the U.S., accounting for 34% and 41% ...

473

Building Energy Retrofit Research: Multifamily Sector  

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

Building Energy Retrofit Research: Multifamily Sector Title Building Energy Retrofit Research: Multifamily Sector Publication Type Report Year of Publication 1985 Authors Diamond,...

474

Attribution of climate forcing to economic sectors  

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

Attribution of climate forcing to economic sectors Title Attribution of climate forcing to economic sectors Publication Type Journal Article Year of Publication 2010 Authors Unger,...

475

Energy Efficiency Report: Chapter 3: Residential Sector  

U.S. Energy Information Administration (EIA)

3. The Residential Sector Introduction. More than 90 million single-family, multifamily, and mobile home households encompass the residential sector.

476

Formulating an effective higher education curriculum for the Australian waste management sector  

Science Conference Proceedings (OSTI)

This paper reviews and discusses the current literature relating to the drivers and barriers for a successful waste management curriculum at higher education level. The intention is to use this review to advise educational standards within the tertiary education sector so as to meet industry requirements. The paper presents a review of the UK's system for education and training within the waste management sector over the past decade, and discusses in what ways this approach could be successfully applied to the Australian sector. The paper concludes with a rationale for current research being undertaken within Australia, which seeks to identify which curriculum and pedagogic approaches are best suited for developing the skills of effective waste management practitioners both within the industry and for those graduating from higher education. The case made is that there is an absence of clear standards, educational provisions and certification for this growing industry within Australia, which inhibits the development of an effective waste management sector.

Davis, G. [Centre for Environmental Systems Research, Griffith University, Nathan Campus, Kessels Road, Brisbane, QLD 4111 (Australia)], E-mail: g.davis@griffith.edu.au

2008-07-01T23:59:59.000Z

477

Zero emissions systems in the food processing industry  

Science Conference Proceedings (OSTI)

The food processing industry is part of an interlinked group of sectors. It plays an important role in the economic development of every country. However, a strongly growing food processing industry greatly magnifies the problems of waste management, ... Keywords: anaerobic digestion, food processing industry, pineapple waste, zero emissions system

Uyen Nguyen Ngoc; Hans Schnitzer

2008-02-01T23:59:59.000Z

478

Solar-Assisted Technology Provides Heat for California Industries  

E-Print Network (OSTI)

Solar-Assisted Technology Provides Heat for California Industries Industrial/Agriculture/Water End 2011 The Issue Solar thermal technology focuses the Sun's rays to heat water, and is a promising renewable resource for California's industrial sector. Commercially available solar water heating

479

Industrial Energy Efficiency Programs: Development and Trends  

E-Print Network (OSTI)

As more states establish Energy Efficiency Resource Standards (EERS), goals for energy efficiency savings are increasing across the country. Increasingly, states are relying on their industrial energy efficiency programs to find and help implement those savings. Historically, industrial energy efficiency programs have not been completely effective at finding those savings, in large part because the programs have not been flexible enough to accommodate the heterogeneous needs and unique characteristics of the industrial sector. This paper will discuss the state of industrial energy efficiency programs today. Relying on an ACEEE-administered survey of 35 industrial energy efficiency programs, we will determine current trends and challenges, address emerging needs, and identify best practices in the administration of today's industrial efficiency programs. The paper will serve as an update on industrial energy efficiency program activities and discuss the ways in which today's programs are trying to serve their industrial clients better.

Chittum, A.; Kaufman, N.; Elliot, N.

2010-01-01T23:59:59.000Z

480

Bulk chemicals industry uses 5% of U.S. energy - Today in ...  

U.S. Energy Information Administration (EIA)

The industrial sector is responsible for nearly a third of total energy use in the United States, consuming an estimated 31 quadrillion Btu in 2012.

Note: This page contains sample records for the topic "industrial sector output" 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.