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


1

Electric Utility Industry Update  

Broader source: Energy.gov (indexed) [DOE]

Electric Utility Industry Update Electric Utility Industry Update Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG Spring 2012 April 12, 2012 Edison Electric Institute  Investor-Owned Electric Companies  Membership includes  200 US companies,  More than 65 international affiliates and  170 associates  US members  Serve more than 95% of the ultimate customers in the investor-owned segment of the industry and  Nearly 70% of all electric utility ultimate customers, and  Our mission focuses on advocating public policy; expanding market opportunities; and providing strategic business information Agenda Significant Industry Trends Utility Infrastructure Investments Generation and Fuel Landscape

2

Aftertreatment Research Prioritization: A CLEERS Industrial Survey...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Research Prioritization: A CLEERS Industrial Survey Aftertreatment Research Prioritization: A CLEERS Industrial Survey Presentation given at the 2007 Diesel Engine-Efficiency &...

3

Electric Utility Industrial Conservation Programs  

E-Print Network [OSTI]

Electrical Machinery and Equip. 7.0 3.3 3 7.6 3.0 10 7 0 10.8 100.0 90 11.9 100.0 353,5 4 * Total of 12 Industry Maximum Demand s is 832 MW. *..', Total of 12 Industry Annual Electricity Consumption is 2,981,090 Mlm. 723 ESL-IE-83-04-114 Proceedings... Electrical Machinery and Equip. 7.0 3.3 3 7.6 3.0 10 7 0 10.8 100.0 90 11.9 100.0 353,5 4 * Total of 12 Industry Maximum Demand s is 832 MW. *..', Total of 12 Industry Annual Electricity Consumption is 2,981,090 Mlm. 723 ESL-IE-83-04-114 Proceedings...

Norland, D. L.

1983-01-01T23:59:59.000Z

4

Reshaping the electricity supply industry  

SciTech Connect (OSTI)

Cigre`s Electra magazine published this interview with Alfonso Limbruno, CEO of ENEL S.p.A. To put the interview in perspective, this article begins with a brief overview of ENEL and a biographical sketch of Alfonso Limbruno, and also carries comments from Y. Thomas, secretary general of CIGRE. ENEL is a vertically integrated nationwide electricity company engaged in the generation, transmission, distribution, and sale of electricity, predominantly in Italy. ENEL`s share accounts for approximately 80 percent of Italian electricity demand. Measured by amount of electricity sold, ENEL is the third largest electric utility in the OECD countries and the second largest electric utility in Europe. Measured by revenues, ENEL is one of the largest companies in Italy, with a turnover of Lit. 37,632 billion. In 1995, ENEL served approximately 28.5 million customers and sold 211,607 GWh of electricity. ENEL`s gross installed generating capacity at December 31, 1995 was 55,906 MW. Alfonso Limbruno made all his career in the Italian electricity supply industry (ESI) and has had quite a unique experience: he went through a complete cycle of change of the ESI in his country, the nationalization of the sector in 1962 with the merging in ENEL of over 1,200 undertakings, and now the privatization of the company, along with a far reaching restructuring of the industry. He was appointed CEO of ENEL in August 1992.

NONE

1997-03-01T23:59:59.000Z

5

Status of State Electric Industry Restructuring Activity  

Reports and Publications (EIA)

Presents an overview of the status of electric industry restructuring in each state. Restructuring means that a monopoly system of electric utilities has been replaced with competing sellers.

2010-01-01T23:59:59.000Z

6

ConEd (Electric) - Commercial and Industrial Energy Efficiency Program |  

Broader source: Energy.gov (indexed) [DOE]

ConEd (Electric) - Commercial and Industrial Energy Efficiency ConEd (Electric) - Commercial and Industrial Energy Efficiency Program ConEd (Electric) - Commercial and Industrial Energy Efficiency Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Large Commercial Energy Study: $50,000 (electric); $67,000 (combined with gas) Program Info Expiration Date 12/31/2015 State New York Program Type Utility Rebate Program Rebate Amount Lighting: Varies widely by type Small Business Energy Surveys: Free Small Business Equipment Upgrades: up to 70% of cost Large Commercial Energy Study: 50% of the cost

7

Barron Electric Cooperative - Commercial, Industrial, and Agricultural  

Broader source: Energy.gov (indexed) [DOE]

Barron Electric Cooperative - Commercial, Industrial, and Barron Electric Cooperative - Commercial, Industrial, and Agricultural Energy Efficiency Rebate Program Barron Electric Cooperative - Commercial, Industrial, and Agricultural Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Other Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate $10,000 per account, not to exceed 20% of cost Scroll Refrigeration Compressors: $500 Variable Speed/Frequency Drive Motor: $500 Variable Speed Compressed Air Motor: $500 Energy Audit: One in Five Years Program Info State Wisconsin Program Type Utility Rebate Program Rebate Amount Energy Audit: Free General Lighting: $1 - $15/unit LED Lamps: $2/bulb

8

A Brief History of the Electricity Industry  

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

data and evaluating electricity data and evaluating electricity restructuring James Bushnell University of California Energy Inst. www.ucei.berkeley.edu Outline * Shameless flattery - Why EIA data are so important * Why are people so unhappy? - With electricity restructuring * What EIA data have helped us learn - Production efficiencies - Market efficiency - Market competition - Environmental compliance Why EIA is so important * Important industries undergoing historic changes - Restructuring/deregulation - Environmental regulation and markets * We know much more about these industries than others where data are not collected - And much more than the europeans know about their energy industries * Academics and economists flock to data - Much more "open source" knowledge about the functioning of these markets

9

Deregulating the electric utility industry  

E-Print Network [OSTI]

Many functions must be performed in any large electric power system. A specific proposal for a deregulated power system, based on a real-time spot energy marketplace, is presented and analyzed. A central T&D utility acts ...

Bohn, Roger E.

1982-01-01T23:59:59.000Z

10

Electric industry restructuring in Michigan  

SciTech Connect (OSTI)

This Staff Report suggests a modified approach designed to significantly increase the ability of all customer classes to participate and share in the benefits of competition. The concepts discussed in this Report are designed to ensure that rates are not increased for any customers as a result of restructuring and, where possible, rates are reduced through the use of rate reduction bonds. The program outlined in this Report is designed to fulfill five objectives. First, it protects the interests of smaller customers, including low-income residential customers and senior citizens. Second, the program provides opportunities to strengthen Michigan`s business community. Third, the program includes funding for employee retraining to assure that utility employees are not negatively impacted by restructuring. Fourth, the phase-in program provides the utilities with the opportunity to prepare for competition so that they remain Michigan-based companies. Fifth, the program is designed to foster competition upon a level playing field. The Commission has jurisdiction over all investor electric utilities and rural electric cooperatives in Michigan. Municipal electric utilities are not subject to Commission jurisdiction. Although this Report discusses details regarding Consumers Power and Detroit Edison, its concepts and principles are intended to apply to all jurisdictional electric utilities.

NONE

1997-12-31T23:59:59.000Z

11

Understanding electric industrial ecosystems through exergy  

Science Journals Connector (OSTI)

The focus of this study is to enhance the way of thinking that human activities cannot be separated from the functioning of the entire system on Earth. Learning from Nature means to accept that the technical systems and processes involving energy conversion ... Keywords: electric system, energy conversion, exergy, industrial ecology

Cornelia A. Bulucea; Doru A. Nicola; Nikos E. Mastorakis; Marc A. Rosen

2011-02-01T23:59:59.000Z

12

Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key  

Broader source: Energy.gov [DOE]

November/December 2010 surveys of 1,716 drivers and 123 automobile industry executives indicate that both groups believe a low electric vehicle price would motivate consumers to switch from a...

13

NYSEG (Electric) - Commercial and Industrial Efficiency Program |  

Broader source: Energy.gov (indexed) [DOE]

Commercial and Industrial Efficiency Program Commercial and Industrial Efficiency Program NYSEG (Electric) - Commercial and Industrial Efficiency Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate No maximum per customer rebate; however, NYSEG/RG&E reserve the right to cap the rebate to any one customer. Program Info State New York Program Type Utility Rebate Program Rebate Amount Lighting, HVAC: Prescriptive incentives vary A/C or Heat Pump A/C or Heat Pump > 63 tons: $25/ton + $5/ton for each 0.1 EER above 9.7 Water Cooled Chillers: $6/ton or $15/ton + $2-$8/ton for each 0.01 kW/ton

14

Challenges of Electric Power Industry Restructuring for Fuel Suppliers  

Reports and Publications (EIA)

Provides an assessment of the changes in other energy industries that could occur as the result of restructuring in the electric power industry.

1998-01-01T23:59:59.000Z

15

Electrical Energy Conservation and Load Management - An Industrial User's Viewpoint  

E-Print Network [OSTI]

Conservation of electrical energy and load management can reduce industry's electric bills, conserves natural resources and reduces the need for new generating plants. In recent years, industry has implemented extensive conservation programs. Some...

Jackson, C. E.

1984-01-01T23:59:59.000Z

16

Volumetric Hedging in Electricity Procurement Department of Industrial Engineering  

E-Print Network [OSTI]

Volumetric Hedging in Electricity Procurement Yumi Oum Department of Industrial Engineering electricity service at regulated prices in restructured electricity markets, face price and quantity risk. We in the electricity industry has put high price risk on market partici- pants, particularly on load serving entities

Oren, Shmuel S.

17

Form EIA-861, "Annual Electric Power Industry Report." | OpenEI  

Open Energy Info (EERE)

1, "Annual Electric Power Industry Report." 1, "Annual Electric Power Industry Report." Dataset Summary Description This is an electric utility data file that includes such information as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity. The data source is the survey Form EIA-861, "Annual Electric Power Industry Report." Data for all years are final. The file F861yr09.exe is a file of data collected on the Form EIA-861, Annual Electric Power Industry Report, for the reporting period, calendar year 2009. The zipped .exe file contains 11 .xls files and one Word file, and a .pdf of the Form EIA-861. The data file structure detailed here also applies to data files for prior

18

Summary of interview survey of electric utility communication specialists  

SciTech Connect (OSTI)

The survey yielded a great deal of useful information. It provided the staff members of the Center for Evaluation and Assessment with a focus for their efforts with regard to developing guidelines and mechanisms for effective communication between electric utilities and their customers. Moreover, the interviews confirmed the staff's initial judgment that there are substantial problems that must be overcome if communication programs are to be effective; at the same time, these conversations with communication specialists in the utility industry reinforced a sense that these issues must be addressed, since effective, open communication has to be a key component in any comprehensive attack on large-scale energy related problems.

Ludwig, S.; Messe, L.A.; Crano, W.D.

1980-11-11T23:59:59.000Z

19

Electric Power Industry Needs for Grid-Scale Storage Applications |  

Broader source: Energy.gov (indexed) [DOE]

Industry Needs for Grid-Scale Storage Applications Industry Needs for Grid-Scale Storage Applications Electric Power Industry Needs for Grid-Scale Storage Applications Stationary energy storage technologies will address the growing limitations of the electricity infrastructure and meet the increasing demand for renewable energy use. Widespread integration of energy storage devices offers many benefits, including the following: Alleviating momentary electricity interruptions Meeting peak demand Postponing or avoiding upgrades to grid infrastructure Facilitating the integration of high penetrations of renewable energy Providing other ancillary services that can improve the stability and resiliency of the electric grid Electric Power Industry Needs for Grid-Scale Storage Applications More Documents & Publications

20

The Electric Utility Industry--Change and Challenge  

E-Print Network [OSTI]

The Electric Utility Industry? Change and Challenge MICHAEL H. WILLIAMS EXECUTIVE DIRECTOR TEXAS PUBLIC POWER ASSOCIATION AUSTIN, TEXAS The author retraces some of the principle changes in the electric utility industry. He suggests... is heading and help it get there. 420 ESL-IE-87-09-65 Proceedings from the Ninth Annual Industrial Energy Technology Conference, Houston, TX, September 16-18, 1987 For an electric utility to achieve excellence in today's environment, it must have a clear...

Williams, M. H.

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


21

Energy Efficiency Fund (Electric) - Commercial and Industrial Energy  

Broader source: Energy.gov (indexed) [DOE]

Energy Efficiency Fund (Electric) - Commercial and Industrial Energy Efficiency Fund (Electric) - Commercial and Industrial Energy Efficiency Programs Energy Efficiency Fund (Electric) - Commercial and Industrial Energy Efficiency Programs < Back Eligibility Commercial Industrial Institutional Local Government Multi-Family Residential State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Other Windows, Doors, & Skylights Appliances & Electronics Maximum Rebate Contact EEF Program Info State Connecticut Program Type Utility Rebate Program Rebate Amount Incentives Vary Widely Provider Connecticut Light and Power All Connecticut Utilities implement electric and gas efficiency rebate programs funded by Connecticut's public benefits charge through the Energy

22

PPL Electric Utilities- Commercial and Industrial Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

PPL Electric Utilities offers rebates and incentives for commercial and industrial products installed in their service area. The program offers rebates for lighting, heat pumps, refrigeration...

23

The electric power industry : deregulation and market structure  

E-Print Network [OSTI]

The US electricity industry currently consists of vertically integrated regional utilities welding monopolistic power over their own geographic markets under the supervision of state and federally appointed regulators. ...

Thomson, Robert George

1995-01-01T23:59:59.000Z

24

Determining Levels of Productivity and Efficiency in the Electricity Industry  

SciTech Connect (OSTI)

A few major themes run fairly consistently through the history of productivity and efficiency analysis of the electricity industry: environmental controls, economies of scale, and private versus government.

Abbott, Malcolm

2005-11-01T23:59:59.000Z

25

Workforce Trends in the Electric Utility Industry | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Trends in the Electric Utility Industry Trends in the Electric Utility Industry Workforce Trends in the Electric Utility Industry Section 1101 of the U.S. Energy Policy Act of 2005 (EPACT)1 calls for a report on the current trends in the workforce of (A) skilled technical personnel that support energy technology industries, and (B) electric power and transmission engineers. It also requests that the Secretary make recommendations (as appropriate) to meet the future labor requirements. Workforce Trends in the Electric Utility Industry More Documents & Publications Statement of Patricia A. Hoffman, Deputy Director of Research and Development and Acting Chief Operating Officer, Office of Electricity Delivery & Energy Reliability, Department of Energy before the Committee on Energy and Natural Resources United States

26

Dakota Electric Association - Commercial and Industrial Custom Energy Grant  

Broader source: Energy.gov (indexed) [DOE]

Dakota Electric Association - Commercial and Industrial Custom Dakota Electric Association - Commercial and Industrial Custom Energy Grant Program Dakota Electric Association - Commercial and Industrial Custom Energy Grant Program < Back Eligibility Commercial Industrial Savings Category Other Maximum Rebate 50% of total project costs and 100,000 annually in grants/rebates per member. Program Info State Minnesota Program Type Utility Grant Program Rebate Amount 50% of total project costs up to 100,000 Provider Dakota Electric Service Dakota Electric's Custom Energy Grant Program is offered for any commercial or industrial customer that installs qualifying energy-efficient products which exceed conventional models and result in a reduction of electric use, when a specific rebate program is not currently available. Any energy

27

Geothermal Energy Growth Continues, Industry Survey Reports  

Broader source: Energy.gov [DOE]

A survey released by the Geothermal Energy Association (GEA) shows continued growth in the number of new geothermal power projects under development in the United States, a 20% increase since January of this year.

28

Household Response To Dynamic Pricing Of Electricity: A Survey...  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

29

Use Of Electrical Surveys For Geothermal Reservoir Characterization...  

Open Energy Info (EERE)

Of Electrical Surveys For Geothermal Reservoir Characterization- Beowawe Geothermal Field Abstract The STAR geothermal reservoir simulator was used to model the natural state of...

30

An International Survey of Electric Storage Tank Water Heater Efficiency and Standards  

E-Print Network [OSTI]

Survey of Electric Storage Tank Water Heater Efficiency andSurvey of Electric Storage Tank Water Heater Efficiency andby electric resistance storage tank water heaters (geysers),

Johnson, Alissa

2013-01-01T23:59:59.000Z

31

Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

Salem Electric - Residential, Commercial, and Industrial Efficiency Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate Program Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate Program < Back Eligibility Commercial Fed. Government Industrial Local Government Multi-Family Residential Nonprofit Residential State Government Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Sealing Your Home Ventilation Manufacturing Heating & Cooling Commercial Heating & Cooling Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate ENERGY Star Light Fixtures: Not to exceed 50% of the fixture cost Program Info State Oregon Program Type Utility Rebate Program Rebate Amount Refrigerators: $60 Freezers: $60 Clothes Washers: $60

32

Duke Energy (Electric) - Commercial and Industrial Energy Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

Duke Energy (Electric) - Commercial and Industrial Energy Duke Energy (Electric) - Commercial and Industrial Energy Efficiency Rebate Program Duke Energy (Electric) - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Institutional Local Government Nonprofit Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Construction Commercial Weatherization Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Home Weatherization Windows, Doors, & Skylights Maximum Rebate Commercial Incentives: $50,000 per fiscal year, per facility for all eligible technologies combined Custom Incentives: 50% of incremental cost Most Prescriptive Incentives: 50% of equipment cost Custom Incentives: 50% of incremental cost

33

DTE Energy (Electric) - Commercial and Industrial Energy Efficiency Program  

Broader source: Energy.gov (indexed) [DOE]

DTE Energy (Electric) - Commercial and Industrial Energy Efficiency DTE Energy (Electric) - Commercial and Industrial Energy Efficiency Program DTE Energy (Electric) - Commercial and Industrial Energy Efficiency Program < Back Eligibility Commercial Industrial Institutional Local Government State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Cooling Appliances & Electronics Manufacturing Other Construction Heat Pumps Commercial Lighting Lighting Insulation Design & Remodeling Water Heating Windows, Doors, & Skylights Maximum Rebate Facility: $200,000 Project: $200,000 Customer: $750,000 Program Info State Michigan Program Type Utility Rebate Program Rebate Amount Custom Measures: $0.08/kWh first year energy savings Lighting: Varies ECM Motors/Controls: Varies

34

Lincoln Electric System (Commercial and Industrial) - Sustainable Energy  

Broader source: Energy.gov (indexed) [DOE]

Commercial and Industrial) - Sustainable Commercial and Industrial) - Sustainable Energy Program Lincoln Electric System (Commercial and Industrial) - Sustainable Energy Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate '''General Incentive Limits''' Commercial Industrial Lighting Retrofit: $100,000 per program year Commercial and Industrial Energy Efficiency: $100,000 per program year Program Info State Nebraska Program Type Utility Rebate Program Rebate Amount Commercial Industrial Lighting Retrofit Lighting Retrofit: $500/kW of peak-demand reduction

35

Austin Utilities (Gas and Electric) - Commercial and Industrial Energy  

Broader source: Energy.gov (indexed) [DOE]

Austin Utilities (Gas and Electric) - Commercial and Industrial Austin Utilities (Gas and Electric) - Commercial and Industrial Energy Efficiency Rebate Program Austin Utilities (Gas and Electric) - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Appliances & Electronics Other Heat Pumps Commercial Lighting Lighting Manufacturing Commercial Weatherization Water Heating Maximum Rebate Electric Measures: $100,000 per customer location, per technology, per year Custom Gas Measures: $75,000 per commercial location per year, $5,000 per industrial location per year Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Lighting Equipment: See Program Website Air Source Heat Pumps: $20-$25/ton, plus bonus rebate of $4/ton for each

36

Manufacturing-Industrial Energy Consumption Survey(MECS) Historical  

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

> Historical Publications > Historical Publications Manufacturing Establishments reports, data tables and questionnaires Released: May 2008 The Manufacturing Energy Consumption Survey (MECS) is a periodic national sample survey devoted to measuring energy consumption and related issues in the manufacturing sector. The MECS collects data on energy consumption, purchases and expenditures, and related issues and behaviors. Links to previously published documents are given below. Beginning in 1998, reports were only issued electronically. Additional electronic releases are available on the MECS Homepage. The basic unit of data collection for this survey is the manufacturing establishment. Industries are selected according to definitions found in the North American Industry Classification System (NAICS), which replace the earlier Standard Industrial Classification (SIC) system.

37

Industrial Biomass Energy Consumption and Electricity Net Generation by  

Open Energy Info (EERE)

47 47 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281847 Varnish cache server Industrial Biomass Energy Consumption and Electricity Net Generation by Industry and Energy Source, 2008 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)

38

Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group  

E-Print Network [OSTI]

Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group Systems R. E. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry," Technical Report

Antsaklis, Panos

39

Oncor Electric Delivery - Large Commercial and Industrial Rebate Program |  

Broader source: Energy.gov (indexed) [DOE]

Oncor Electric Delivery - Large Commercial and Industrial Rebate Oncor Electric Delivery - Large Commercial and Industrial Rebate Program Oncor Electric Delivery - Large Commercial and Industrial Rebate Program < Back Eligibility Commercial Construction Industrial Installer/Contractor Institutional Local Government Schools State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Home Weatherization Insulation Design & Remodeling Windows, Doors, & Skylights Solar Buying & Making Electricity Water Heating Wind Maximum Rebate General: 20% of the incentive budget in a given budget year Contact Oncor for additional details Program Info State Texas Program Type Utility Rebate Program Rebate Amount DX Air Conditioning: $285.30/kW; $0.09/kWh

40

AN ECONOMETRIC ANALYSIS OF ZAMBIAN INDUSTRIAL ELECTRICITY DEMAND.  

E-Print Network [OSTI]

??The purpose of this thesis is twofold: to examine the electricity use in Zambias mining industry by focusing on own-price, cross price and index of (more)

Chama, Yoram Chama

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

Global Climate Change Electric Power Industry  

E-Print Network [OSTI]

of energy to generate electricity. There is a long history of electricity regulation in some nations-4430 USA Chapter Summary The warming of the atmosphere and the oceans has been attributed to the release, regulations and financial incentives to "put a price on carbon." That price could come from either a carbon

Ford, Andrew

42

Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Rebate Program Duke Energy (Electric) - Commercial/Industrial Energy Efficiency Rebate Program < Back Eligibility Commercial Industrial Institutional Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Other Commercial Weatherization Heat Pumps Heating Appliances & Electronics Commercial Lighting Lighting Water Heating Home Weatherization Windows, Doors, & Skylights Maximum Rebate 50% of cost in many cases Commercial and Industrial: $50,000/facility per year Program Info State Ohio Program Type Utility Rebate Program Rebate Amount Custom Incentives: 50% T8/T5 Fluorescent Fixtures: $3-$20 T5/T8 Fluorescent High Bay Fixtures: $55-$175 CFL High Bay Fixtures: $75

43

Industrial Electric Motor Systems Market Opportunities Assessment  

E-Print Network [OSTI]

(DOE) Office of Energy Efficiency and Renewable Energy (EERE) in December 1998. As of fiscal year 2000, DOEs Motor Challenge Program was integrated into BestPractices, a broad initiative within EERE. EEREs BestPractices introduces industrial end users to emerging technologies and cost-saving opportunities in widely used industrial systems. Best-Practices offers resources, tools, and information. Thus, industrial end users can match new and verified energy-efficient technologies and practices to their individual plant needs. Since the original printing, there have been some minor changes. The inside and outside back cover (last two pages) were deleted because they contained outdated program information. In addition, some minor corrections were made to the appendices. To obtain another CD of this document you can: Contact EEREs Office of Industrial Technologies (OIT) Clearinghouse:

United S

2002-01-01T23:59:59.000Z

44

Technology Roadmap of Electric Vehicle Industrialization  

Science Journals Connector (OSTI)

Through the understanding of the development of the domestic and foreign electric vehicle dynamic and trend, we can know the state new energy vehicles encouraging policies and development strategies, combine with...

Qinghua Bai; Shupeng Zhao; Pengyun Xu

2012-01-01T23:59:59.000Z

45

Photo-electric Control in Industry  

Science Journals Connector (OSTI)

... made in standard sets called photo-electric relays, containing an amplifier circuit and a small contactor capable of making or breaking 15 amperes. An obvious application of this unit is ...

1937-11-27T23:59:59.000Z

46

Dakota Electric Association - Commercial and Industrial Energy Efficiency  

Broader source: Energy.gov (indexed) [DOE]

Dakota Electric Association - Commercial and Industrial Energy Dakota Electric Association - Commercial and Industrial Energy Efficiency Rebate Program Dakota Electric Association - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Water Heating Maximum Rebate $100,000 Building Measures: 50% of project cost up to $20,000 Central Air Conditioning: $1,500 Compressed Air Evaluation: $2,000 - $15,000 depending on HP Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount HVAC Chillers: $10 - $20/Ton, plus $2/ton, per 0.1 above base efficiency Cooling Towers: $3/nominal tower ton Air Handling Systems (VAV): $170/VAV Box

47

Minnesota Valley Electric Cooperative - Commercial and Industrial Energy  

Broader source: Energy.gov (indexed) [DOE]

Minnesota Valley Electric Cooperative - Commercial and Industrial Minnesota Valley Electric Cooperative - Commercial and Industrial Energy Efficiency Rebate Program Minnesota Valley Electric Cooperative - Commercial and Industrial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Local Government Nonprofit State Government Savings Category Other Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate For lighting, motors, and ASDs, there is a maximum of 50% of the project cost, or $5,000 Agriculture Ventilation: 50% of cost or $100,000 Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Lighting: Varies according to fixture type Rooftop/Split System A/C: $18/ton, plus bonus of $5/ton for each 0.1 above

48

Empire District Electric - Commercial and Industrial Efficiency Rebates |  

Broader source: Energy.gov (indexed) [DOE]

Empire District Electric - Commercial and Industrial Efficiency Empire District Electric - Commercial and Industrial Efficiency Rebates Empire District Electric - Commercial and Industrial Efficiency Rebates < Back Eligibility Commercial Industrial Institutional Nonprofit Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 20,000 per program year per customer Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Lighting: 2 - 50 per fixture Lighting Power Density: 1 per watt per square foot Lighting Sensors: 20 - 50 per sensor Central AC: 73 - 92 per ton Motors: 50 - 130 per motor Energy Audit: 50% of cost Custom: Lesser of 50% of incremental cost; 2-year payback equivalent; or

49

Empire District Electric - Commercial and Industrial Energy Efficiency  

Broader source: Energy.gov (indexed) [DOE]

Empire District Electric - Commercial and Industrial Energy Empire District Electric - Commercial and Industrial Energy Efficiency Rebates Empire District Electric - Commercial and Industrial Energy Efficiency Rebates < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 5,000; additional funds may be available for final 3 months of program year Program Info State Arkansas Program Type Utility Rebate Program Rebate Amount Custom: lesser of $.30 per kWh savings, 50% of incremental cost, or buydown to two year payback Fluorescent Lamps/Fixtures: $0.50 - $16 High Performance T8 Systems: $9 - $18 High-Bay Fluorescent Lamps/Ballasts: $40 - $125 CFL Fixtures: $8 - $25 Pendant/Wall Mount/Recessed Indirect Fixtures: $16 - $24

50

Electrical energy monitoring in an industrial plant  

E-Print Network [OSTI]

INTRODUCTION PURPOSE Energy use in commercial buildings has been widely examined in the past [Claridge et al. 1992]. The energy use in commercial buildings can be classified into four categories: 1). Heating, ventilating, and air-conditioning (HVAC), 2... energy usage will be if accurate data for weather and occupancy are used. The estimation of energy use in an industrial setting does not lend itself to this type of simulation. Unlike commercial buildings, which are heavily weather dependent...

Dorhofer, Frank Joseph

2012-06-07T23:59:59.000Z

51

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

E-Print Network [OSTI]

zhongguo dianli chanye (Chinas Electricity Industry at themulti_page.pdf. State Electricity Regulatory Commission.The Annual Report on Electricity Regulation (2006). Beijing:

Tsai, Chung-min

2010-01-01T23:59:59.000Z

52

Industrial Approaches to Reducing Energy Costs in a Restructuring Electric Industry  

E-Print Network [OSTI]

. Although many electricity providers will offer their services in a restructure U.S. electricity market, it is not clear which pow r producers industrial customers wil1 buy from. James Rouse, associate director of energy policy for Praxair, Inc., thinks...

Lowe, E. T.

53

Reconnaissance electrical surveys in the Coso Range, California | Open  

Open Energy Info (EERE)

electrical surveys in the Coso Range, California electrical surveys in the Coso Range, California Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Reconnaissance electrical surveys in the Coso Range, California Details Activities (3) Areas (1) Regions (0) Abstract: Telluric current, audiomagnetotelluric (AMT), and direct current (dc) methods were used to study the electrical structure of the Coso Range and Coso geothermal area. Telluric current mapping outlined major resistivity lows associated with conductive valley fill of the Rose Valley basin, the Coso Basin, and the northern extension of the Coso Basin east of Coso Hot Springs. A secondary resistivity low with a north-south trend runs through the Coso Hot Springs--Devil's Kitchen geothermal area. The secondary low in the geothermal area, best defined by the 7.5-Hz AMT map

54

Electric top drives gain wide industry acceptance  

SciTech Connect (OSTI)

Since its introduction, the top drive drilling system has gained acceptance as a productive and safe method for drilling oil and gas wells. Originally, the system was used mostly for offshore and higher cost land drilling, and it had to be installed as a permanent installation because of its enormous weight and size. Essentially, a top drive replaces the kelly and rotary table as the means of rotating drillpipe on oil, gas and geothermal rigs and is considered to be 15% to 40% more efficient than a kelly drive. Top drive systems allow the operator to drill and maintain directional orientation for triple stands and provide tripping efficiency because of the ability to ream and circulate with triple stands, to reduce the risk of stuck pipe or lost wells, and to improve well control and pipe handling safety. The paper describes electric top drives with DC motors, top drives with AC motors, top drives with permanent magnet motors, and top drives with permanent magnet brushless synchronous motors.

Riahi, M.L.

1998-05-01T23:59:59.000Z

55

Electrical Resistivity and Self-Potential Surveys Blue Mountain Geothermal  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Electrical Resistivity and Self-Potential Surveys Blue Mountain Geothermal Area, Nevada Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Electrical Resistivity and Self-Potential Surveys Blue Mountain Geothermal Area, Nevada Abstract Self potential and electrical resistivity surveys have been completed at the Blue Mountain geothermal area to search for the source of thermal fluids discovered during drilling for mineral exploration, and to help characterize the geothermal resource. Two large SP anomalies are associated with the artesian thermal area and the area of highest temperature observed in drill holes. Two similar anomalies were mapped 1 to 3 km to the south

56

Use Of Electrical Surveys For Geothermal Reservoir Characterization-  

Open Energy Info (EERE)

Use Of Electrical Surveys For Geothermal Reservoir Characterization- Use Of Electrical Surveys For Geothermal Reservoir Characterization- Beowawe Geothermal Field Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Use Of Electrical Surveys For Geothermal Reservoir Characterization- Beowawe Geothermal Field Details Activities (4) Areas (1) Regions (0) Abstract: The STAR geothermal reservoir simulator was used to model the natural state of the Beowawe geothermal field, and to compute the subsurface distributions of temperature and salinity which were in turn employed to calculate pore-fluid resistivity. Archie's law, which relates formation resistivity to porosity and pore-fluid resistivity, was adopted to infer formation resistivity distribution. Subsequently, DC, MT and SP postprocessors were used to compute the expected response corresponding to

57

title Survey of Western U S Electric Utility Resource Plans  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Survey of Western U S Electric Utility Resource Plans Survey of Western U S Electric Utility Resource Plans journal Energy Policy year month abstract p We review long term electric utility plans representing nbsp textquoteright of generation within the Western U S and Canadian provinces nbsp We nbsp address what utility planners assume about future growth of electricity demand and supply what types of risk they consider in their long term resource planning and the consistency in which they report resource planning related data The region is anticipated to grow by annually by before Demand Side Management nbsp About nbsp two thirds of nbsp the utilities that provided an annual energy forecast also nbsp reported energy efficiency savings projections in aggregate they anticipate an average reduction in energy and nbsp reduction in

58

An International Survey of Electric Storage Tank Water Heater Efficiency and Standards  

SciTech Connect (OSTI)

Water heating is a main consumer of energy in households, especially in temperate and cold climates. In South Africa, where hot water is typically provided by electric resistance storage tank water heaters (geysers), water heating energy consumption exceeds cooking, refrigeration, and lighting to be the most consumptive single electric appliance in the home. A recent analysis for the Department of Trade and Industry (DTI) performed by the authors estimated that standing losses from electric geysers contributed over 1,000 kWh to the annual electricity bill for South African households that used them. In order to reduce this burden, the South African government is currently pursuing a programme of Energy Efficiency Standards and Labelling (EES&L) for electric appliances, including geysers. In addition, Eskom has a history of promoting heat pump water heaters (HPWH) through incentive programs, which can further reduce energy consumption. This paper provides a survey of international electric storage water heater test procedures and efficiency metrics which can serve as a reference for comparison with proposed geyser standards and ratings in South Africa. Additionally it provides a sample of efficiency technologies employed to improve the efficiency of electric storage water heaters, and outlines programs to promote adoption of improved efficiency. Finally, it surveys current programs used to promote HPWH and considers the potential for this technology to address peak demand more effectively than reduction of standby losses alone

Johnson, Alissa; Lutz, James; McNeil, Michael A.; Covary, Theo

2013-11-13T23:59:59.000Z

59

Brushless Separately Excited Direct Current Motor Electric Motors: A Survey  

E-Print Network [OSTI]

Abstract: In this paper the importance of brushless SEDC electric motors in the automotive industry continues to grow, writes Matthew Beecham. The driving force behind market growth is motorists insatiable demand for safety, comfort, economy, a clean environment and overall quality of driving.

R. C. Chourasia; Dr. A. K. Bhardwaj

60

Impact of Electric Industry Structure on High Wind Penetration Potential  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

273 273 July 2009 Impact of Electric Industry Structure on High Wind Penetration Potential M. Milligan and B. Kirby National Renewable Energy Laboratory R. Gramlich and M. Goggin American Wind Energy Association National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-550-46273 July 2009 Impact of Electric Industry Structure on High Wind Penetration Potential M. Milligan and B. Kirby National Renewable Energy Laboratory R. Gramlich and M. Goggin American Wind Energy Association

Note: This page contains sample records for the topic "industry surveys electric" 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

Electric Industry Restructuring in Five States: Final Report  

SciTech Connect (OSTI)

The electric industry in the United States is undergoing fundamental changes; it is transitioning from regulated monopolies to competitive markets offering customer choice. In this process, the states have been in the forefront of considering the changes in the industry structure and regulation. The Energy Information Administration (EIA) spearheaded a project on electric restructuring in the United States. This is the final report prepared under the project. The purpose of the report is to describe and compare the overall restructuring processes that took place in five states through June 30, 1996. The five states are California, Massachusetts, Michigan, New York, and Wisconsin. These are the first major states to consider restructuring or retail wheeling.

Fang, J. M.

1996-10-31T23:59:59.000Z

62

Electric and Gas Industries Association | Open Energy Information  

Open Energy Info (EERE)

and Gas Industries Association and Gas Industries Association Jump to: navigation, search Name Electric and Gas Industries Association Place Sacramento, CA Zip 95821 Website http://www.egia.org/ Coordinates 38.6228166°, -121.3827505° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.6228166,"lon":-121.3827505,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

63

PRELIMINARY SURVEY OF WESTINGHOUSE ELECTRIC CORPORATION EAST PITTSBURGH, PENNSYLVANIA  

Office of Legacy Management (LM)

WESTINGHOUSE ELECTRIC CORPORATION WESTINGHOUSE ELECTRIC CORPORATION EAST PITTSBURGH, PENNSYLVANIA Work performed by the Health and Safety Research Division Oak Ridge National Laboratory Oak Ridge, Tennessee 37830 March 1980 OAK RIDGE NATIONAL LABORATORY operated by UNION CARBIDE CORPORATION for the DEPARTMENT OF ENERGY as part of the Formerly Utilized Sites-- Remedial Action Program WESTINGHOUSE ELECTRIC CORPORATION EAST PITTSBURGH, PENNSYLVANIA At the request of the Department of Energy (DOE, then ERDA), a preliminary survey was performed at the Westinghouse Electric Corporation's East Pittsburgh Plant in East Pittsburgh, Pennsylvania (see Fig. l), on October 22, 1976, to assess the radiological status of those facilities utilized under AEC/MED contract during an early phase of the Manhattan

64

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

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

6. Components of Total Electricity Demand by Census Region, Industry" 6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Groups and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

65

Survey of Western U.S. Electric Utility Resource Plans  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Survey of Western U.S. Electric Utility Resource Plans Survey of Western U.S. Electric Utility Resource Plans Title Survey of Western U.S. Electric Utility Resource Plans Publication Type Journal Article Year of Publication 2014 Authors Wilkerson, Jordan, Peter H. Larsen, and Galen L. Barbose Journal Energy Policy Date Published 2014 Abstract We review long-term electric utility plans representing "' 90% of generation within the Western U.S. and Canadian provinces. We address what utility planners assume about future growth of electricity demand and supply; what types of risk they consider in their long-term resource planning; and the consistency in which they report resource planning-related data. The region is anticipated to grow by 2% annually by 2020 before Demand Side Management. About two-thirds of the utilities that provided an annual energy forecast also reported energy efficiency savings projections; in aggregate, they anticipate an average 6.4% reduction in energy and 8.6% reduction in peak demand by 2020. New natural gas-fired and renewable generation will replace retiring coal plants. Although some utilities anticipate new coal-fired plants, most are planning for steady growth in renewable generation over the next two decades. Most planned solar capacity will come online before 2020, with most wind expansion after 2020. Fuel mix is expected to remain "' 55% of total generation. Planners consider a wide range of risks but focus on future demand, fuel prices, and the possibility of GHG regulations. Data collection and reporting inconsistencies within and across electric utility resource plans lead to recommendations on policies to address this issue.

66

Lagrangean Decomposition Algorithm for Supply Chain Redesign in Electric Motors Industry  

E-Print Network [OSTI]

2013/8/1 1 Lagrangean Decomposition Algorithm for Supply Chain Redesign in Electric Motors Industry of Automation Lagrangean Decomposition Algorithm for Supply Chain Redesign of Electric Motors Industry Redesign of Electric Motors Industry Institute of Process Control and Engineering, Department

Grossmann, Ignacio E.

67

Industrial-Load-Shaping: The Practice of and Prospects for Utility/Industry Cooperation to Manage Peak Electricity Demand  

E-Print Network [OSTI]

INDUSTRIAL-LOAD-SHAPI1IG: TIlE PRACTICE OF AND PROSPECTS FOR UTILITY/INDUSTRY COOPERATION TO MAUGE PEAK ELECTRICITY DEMAND Donald J. BuIes and David E. Rubin Consultants, Pacific Gas and Electric Company San Francisco, California Michael F.... Maniates Energy and Resources Group, University of California Berkeley, California ABSTRACT Load-management programs designed to reduce demand for electricity during peak periods are becoming increasingly important to electric utilities. For a gf...

Bules, D. J.; Rubin, D. E.; Maniates, M. F.

68

Electric Vehicle Manufacturing in Southern California: Current Developments, Future Prospects  

E-Print Network [OSTI]

Opinions Towards the Electric Car Industry from a Survey ofindustries like the electric car. Andthese local effortscapability for the electric car withoutgenuineMichigan

Scott, Allen J.

1993-01-01T23:59:59.000Z

69

Electricity distribution industry restructuring, electrification, and competition in South Africa  

SciTech Connect (OSTI)

This paper reviews the status of the South African electricity supply industry (ESI) and proposals for reorienting and restructuring it. South Africa has been intensely examining its ESI for more than 4 years in an effort to determine whether and how it should be restructured to best support the country`s new economic development and social upliftment goals. The debate has been spirited and inclusive of most ESI stakeholders. The demands on and expectations for the ESI are many and varied. The debate has reflected this diversity of interests and views. In essence, however, there is a consensus on what is expected of the industry, namely, to extend provision of adequate, reliable, and affordable electricity service to all citizens and segments of the economy. This means a large-scale electrification program to reach as many of the nearly 50% of households currently without electricity service as soon as possible, tariff reform to promote equity and efficiency, and the upgrading of service quality now being provided by some of the newly consolidated municipal authorities. The issues involved are how best to achieve these results within the context of the national Reconstruction and Development Program, while accounting for time and resource constraints and balancing the interests of the various parties.

Galen, P S

1997-07-01T23:59:59.000Z

70

Deregulation and R&D in Network Industries: The Case of the Electricity Industry  

E-Print Network [OSTI]

). Source: In Hattori (2005) based on FEPCO/CEPC (2004). R&D expenditure is just one of the costs incurred by a liberalised industry. Liberalisation leads to cost reductions in operating expenditure and capital expenditure as a result of pressure... technology policies and spending toward more basic research, engaging more firms in R&D, encouraging collaborative research, and exploring public private partnerships. JEL Classification: L94, O38 Keywords: innovation, R&D expenditure, electricity...

Jamasb, Tooraj; Pollitt, Michael G.

2006-03-14T23:59:59.000Z

71

Energy Conservation and Management for Electric Utility Industrial Customers  

E-Print Network [OSTI]

Figure 5 Steam/Organic Fluid Rankine-Cycle Power System Absorption Cooling Systems The absorpt i on cool i ng system mode 1ed for the EC&M computer mode 1 is a type of heat pump whd ch is driven directly by a thermal input without th~ need for a...&M Applications Identified from Plant Data EC&M Technology ? Heat Exchangers ? Waste heat boiler ? Rankine cycle ? Heat pump --Closed cycle --Open cycle ? Thermal energy storage ? GT/electric generator/chiller Industrial Application Process...

McChesney, H. R.; Obee, T. N.; Mangum, G. F.

72

Vehicle Technologies Office: Fact #666: March 14, 2011 Survey says Electric  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6: March 14, 6: March 14, 2011 Survey says Electric Vehicle Prices are Key to someone by E-mail Share Vehicle Technologies Office: Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key on Facebook Tweet about Vehicle Technologies Office: Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key on Twitter Bookmark Vehicle Technologies Office: Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key on Google Bookmark Vehicle Technologies Office: Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key on Delicious Rank Vehicle Technologies Office: Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key on Digg Find More places to share Vehicle Technologies Office: Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key on

73

Survey of Western U.S. electric utility resource plans  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Survey Survey of Western U.S. electric utility resource plans Jordan Wilkerson a,n , Peter Larsen a,b , Galen Barbose b a Management Science and Engineering Department, School of Engineering, Stanford University, Stanford, CA 94305, United States b Energy Analysis and Environmental Impacts Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 90-4000, Berkeley, CA 94720, United States H I G H L I G H T S  Anticipated power plant retirements are split between coal and natural gas.  By 2030, natural gas-fired generation represents 60% of new capacity followed by wind (15%), solar (7%) and hydropower (7%).  Utilities anticipate most new solar capacity to come online before 2020 with significant growth in wind capacity after 2020.  Utilities focus their uncertainty analyses on future demand, fuel prices,

74

Abstract--The profound change in the electric industry worldwide in the last twenty years assigns an increasing  

E-Print Network [OSTI]

Value. I. INTRODUCTION He reformed electric industry scheme sets the transmission sector at the center

Catholic University of Chile (Universidad Católica de Chile)

75

School of Public and Environmental Affairs, Indiana University Electric Vehicle Survey Research Team  

E-Print Network [OSTI]

elsewhere as "electric" vehicles). A plug-in electric vehicle is powered by plugging into a specializedSchool of Public and Environmental Affairs, Indiana University Electric Vehicle Survey Research together with the electric motor. A Nissan Leaf is an example of a plug-in electric vehicle. A plug

Craft, Christopher B.

76

Transition-cost issues for a restructuring US electricity industry  

SciTech Connect (OSTI)

Utilities regulators can use a variety of approaches to calculate transition costs. We categorized these approaches along three dimensions. The first dimension is the use of administrative vs. market procedures to value the assets in question. Administrative approaches use analytical techniques to estimate transition costs. Market valuation relies on the purchase price of particular assets to determine their market values. The second dimension concerns when the valuation is done, either before or after the restructuring of the electricity industry. The third dimension concerns the level of detail involved in the valuation, what is often called top-down vs. bottom-up valuation. This paper discusses estimation approaches, criteria to assess estimation methods, specific approaches to estimating transition costs, factors that affect transition-cost estimates, strategies to address transition costs, who should pay transition costs, and the integration of cost recovery with competitive markets.

NONE

1997-03-01T23:59:59.000Z

77

Optimization of production scheduling with time-dependent and machine-dependent electricity cost for industrial energy efficiency  

Science Journals Connector (OSTI)

In many industrialized countries, manufacturing industries pay stratified electricity charges depending on the time of day ... may demand that industries pay real-time hourly electricity costs so as to use energy...

Joon-Yung Moon; Kitae Shin; Jinwoo Park

2013-09-01T23:59:59.000Z

78

Comparison of Gas Catalytic and Electric Infrared Performance for Industrial Applications  

E-Print Network [OSTI]

A study was conducted to evaluate the performance of gas catalytic and electric infrared for industrial applications. The project focused on fabric drying, paper drying, metal heating, and plastic forming as target industrial applications. Tests...

Eshraghi, R. R.; Welch, D. E.

79

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

E-Print Network [OSTI]

of Coal Mine Safety Telecom Economic Functional StateEconomic Functional Ministry of Transport Work Safety Social Coaleconomic lifeline?) industries: military engineering, electricity, oil and petrochemical, coal,

Tsai, Chung-min

2010-01-01T23:59:59.000Z

80

Industrial Potential for Substitution of Electricity for Oil and Natural Gas  

E-Print Network [OSTI]

The prospect of natural gas decontrol as well as uncertainties of gas and other fuel supplies have aroused interest in electric processes among industrial officials. Where there is ample electric power supply at reasonable cost, an opportunity...

Reynolds, S. D.; Gardner, J. R.

1983-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

Process Parameters and Energy Use of Gas and Electric Ovens in Industrial Applications  

E-Print Network [OSTI]

for industrial applications where electric ovens have predominant use. Tests were performed to obtain the process efficiency and examine cost savings potential in converting electric ovens to natural gas. Preliminary results show that, for the plat studied, cost...

Kosanovic, D.; Ambs, L.

82

A global analysis and market strategy in the electric vehicle battery industry  

E-Print Network [OSTI]

As use of electric vehicles has been expected to grow, the batteries for the electric vehicles have become critical because the batteries are a key part of the paradigm shift in the automotive industry. However, the demand ...

Kim, Young Hee, S.M. Massachusetts Institute of Technology

2014-01-01T23:59:59.000Z

83

Results of Electric Survey in the Area of Hawaii Geothermal Test Well HGP-A  

Open Energy Info (EERE)

Electric Survey in the Area of Hawaii Geothermal Test Well HGP-A Electric Survey in the Area of Hawaii Geothermal Test Well HGP-A Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Results of Electric Survey in the Area of Hawaii Geothermal Test Well HGP-A Abstract N/A Authors James Kauahikaua and Douglas Klein Published Journal Geothermal Resources Council, TRANSACTIONS, 1978 DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Results of Electric Survey in the Area of Hawaii Geothermal Test Well HGP-A Citation James Kauahikaua,Douglas Klein. 1978. Results of Electric Survey in the Area of Hawaii Geothermal Test Well HGP-A. Geothermal Resources Council, TRANSACTIONS. 2:363-366. Retrieved from "http://en.openei.org/w/index.php?title=Results_of_Electric_Survey_in_the_Area_of_Hawaii_Geothermal_Test_Well_HGP-A&oldid=682499

84

Industry  

E-Print Network [OSTI]

EJ of primary energy, 40% of the global total of 227 EJ. Bytotal energy use by industry and on the fraction of electricity use consumed by motor driven systems was taken as representative of global

Bernstein, Lenny

2008-01-01T23:59:59.000Z

85

The Changing Structure of the Electric Power Industry: An Update  

Gasoline and Diesel Fuel Update (EIA)

Industry: An Update 44 Green Pricing Utilities can encourage the development of renewable energy through "green pricing" programs for residential, commercial, and industrial...

86

Deregulation and environmental differentiation in the electric utility industry  

E-Print Network [OSTI]

to purchase electricity from private generators, policy-behavior. Green electricity does not offer private benefitselectricity, lumber represents a case where it is difficult to bundle private

Delmas, M; Russo, M V; Montes-Sancho, M J

2007-01-01T23:59:59.000Z

87

The Canadian Plug-in Electric Vehicle Survey (CPEVS 2013): Anticipating Purchase, Use, and Grid Interactions  

E-Print Network [OSTI]

electric vehicles (PHEVs) that can be powered by grid electricity for an initial distance, say 60 km, but are otherwise powered by gasoline until the battery is recharged (e.g. the Chevrolet Volt) and Electric vehiclesThe Canadian Plug-in Electric Vehicle Survey (CPEVS 2013): Anticipating Purchase, Use, and Grid

88

RESEARCH ARTICLE The proteome survey of an electricity-generating organ  

E-Print Network [OSTI]

RESEARCH ARTICLE The proteome survey of an electricity-generating organ (Torpedo californica electric organ) Javad Nazarian1 , Yetrib Hathout1 , Akos Vertes2 and Eric P. Hoffman1 1 Research Center Chondrichthyes. Electric rays have evolved the electric organ, which is similar to the mammalian neuromuscular

Vertes, Akos

89

Risk Assessment of Engineered Nanomaterials: A Survey of Industrial Approaches  

Science Journals Connector (OSTI)

Thus, voluntary industrial risk assessment initiatives can be considered vital to the environmental health and safety issues associated with engineered nanomaterials. ... However, given that NPM may cause harm (3-6) and that there are currently no regulations that take the specific properties of NPM into account, the responsibility for safe production and products is mostly left with industry. ... The prodn. of significant quantities of engineered nanomaterials will inevitably result in the introduction of these materials to the environment. ...

Aasgeir Helland; Martin Scheringer; Michael Siegrist; Hans G. Kastenholz; Arnim Wiek; Roland W. Scholz

2007-12-14T23:59:59.000Z

90

Biomedical | Chemical & Biomolecular | Civil & Environmental | Electrical & Computer | Industrial | Mechanical | Petroleum Careers in Industrial Engineering  

E-Print Network [OSTI]

| Mechanical | Petroleum Careers in Industrial Engineering Manufacturing, service and retail industries hire a significant number of industrial engineers. Specific industries include automobile manufacturers, electronics to the US Bureau of Labor Statistics, the 2012 average annual wage for industrial engineers is $82

Glowinski, Roland

91

Critical Issues Facing Federal Customers and the Electric Industry: A Call to Partnering  

Broader source: Energy.gov (indexed) [DOE]

Issues Facing Federal Issues Facing Federal Critical Issues Facing Federal Customers and the Electric Industry: Customers and the Electric Industry: A Call to Partnering A Call to Partnering Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG November 28, 2007 Overview  State of the industry  Review recent Energy Infrastructure Picture State of the Industry State of the Industry The Challenge of Balancing Core Drivers The Challenge of Balancing Core Drivers Rising Costs Rising Costs and Prices and Prices Climate Climate Change Change Energy Energy Efficiency Efficiency Enormous Enormous CapEx CapEx No longer a declining cost industry Fuel, infrastructure components, global industrialization and competition $ 750 Billion  $ 1.2 Trillion Exceeds current capitalization

92

EPRI Partnership for Industrial Competitiveness (EPIC): The Plant Survey Experience  

E-Print Network [OSTI]

of variable speed drives on evaporative cooling system pumps to minimize pumping energy while providing the cooling duty required (this also helps reduce water losses through evaporation, and pump motor electricity consumption and demand) Regular water... is highly energy-intensive. In dairy processing plants in particular, refrigeration systems are the largest electricity consumers, representing as much as 75 percent of plant peak demand. The availability of the refrigeration system is critical...

Smith, W. M.; Appelbaum, B.

93

THE COMPETITIVENESS OF COMMERCIAL ELECTRIC VEHICLES IN THE LTL DELIVERY INDUSTRY  

E-Print Network [OSTI]

of electric delivery trucks. To this end, equations linking vehicle performance to power consumption, routeTHE COMPETITIVENESS OF COMMERCIAL ELECTRIC VEHICLES IN THE LTL DELIVERY INDUSTRY: #12; #12, energy use, and costs of electric vehicles and comparable diesel internal-combustion engine vehicles

Bertini, Robert L.

94

An Empirical Analysis of the Potential for Market Power in California's Electricity Industry  

E-Print Network [OSTI]

PWP-044r An Empirical Analysis of the Potential for Market Power in California's Electricity's Electricity Industry Severin Borenstein and James Bushnell University of California Energy Institute 2539 the California electricity market after deregulation as a static Cournot market with a competitive fringe. Our

California at Berkeley. University of

95

Current Generated Harmonics and Their Effect Upon Electrical Industrial Systems  

E-Print Network [OSTI]

This paper provides a general overview of harmonics and addresses the causes of current generated harmonics in electrical systems. In addition, problems caused by current generated harmonics and their affects upon different types of electrical...

Alexander, H. R.; Rogge, D. S.

96

" Electricity Generation by Employment Size Categories, Industry Group, and"  

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

Total Consumption of Offsite-Produced Energy for Heat, Power, and" Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Employment Size Categories, Industry Group, and" " Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,,,"Employment Size(b)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," ",,,,,"1,000","Row" "Code(a)","Industry Groups and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors"," "," "," "," "," "," "

97

"Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"  

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

Components of Total Electricity Demand by Census Region, Census Division, Industry" Components of Total Electricity Demand by Census Region, Census Division, Industry" " Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Group and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

98

Survey of Western U.S. Electric Utility Resource Plans  

E-Print Network [OSTI]

energy distribution, and storage assumptions Effective resource planning activities can inform long-term electric

Wilkerson, Jordan

2014-01-01T23:59:59.000Z

99

Information Disclosure Policies: Evidence from the Electricity Industry  

E-Print Network [OSTI]

and its predecessor EIA-759), the monthly utility electricEIA data (EIA-906 and EIA-759) is imputed for smaller

Delmas, Magali A; SHIMSHACK, JAY P; Montes, Maria J.

2007-01-01T23:59:59.000Z

100

Critical Issues Facing Federal Customers and the Electric Industry...  

Broader source: Energy.gov (indexed) [DOE]

in San Diego, California. fupwgsandiegokiesner.pdf More Documents & Publications Rising Electricity Costs: A Challenge For Consumers, Regulators, And Utilities The Power of "AND"...

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


101

Deregulation and environmental differentiation in the electric utility industry  

E-Print Network [OSTI]

Electricity from Renewable Resources: A Review of Utilityprovision of power from renewable resources, the end resultinvestments in renewable energy generating resources. Hence:

Delmas, M; Russo, M V; Montes-Sancho, M J

2007-01-01T23:59:59.000Z

102

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

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",75183893,85006849,92198096,93939609,98396809,100536445,98159139,102750838,14230...

103

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

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",96763006,99451077,95099161,90418339,94637160,97259636,94637956,95187030,9205415...

104

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

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",106615302,103334454,88057219,90733028,93162079,90531201,94067080,83152928,83500...

105

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

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",56188401,53328664,58902054,59225368,59780402,64316732,61176351,65456080,6510365...

106

TAPPI survey of energy consumption: A snapshot of industry trends  

SciTech Connect (OSTI)

Energy management is one of the most important aspects of mill operation. Mills compete chiefly on the basis of price and product quality. Because pulp and paper production consumes tremendous amount of energy, the mill that can reduce the energy consumed per ton of production gains a competitive edge. The opportunities for savings range from investment in new equipment to simply increasing the efficiency of existing operations. The authors wanted to learn what mills are doing to reduce energy consumption in 1994. He also wanted to know if energy management at the mill is as important today as it was a decade ago. The results presented here are based on the 105 responses from a survey.

Burke, D.J.

1994-09-01T23:59:59.000Z

107

Form EIA-861S ANNUAL ELECTRIC POWER INDUSTRY REPORT (SHORT FORM)  

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

INDUSTRY REPORT (SHORT FORM) INSTRUCTIONS OMB No. 1905-0129 Approval Expires: 12/31/2016 Burden: 2.01 Hours Page 1 Draft for Discussion only PURPOSE Form EIA-861S collects information on the status of selected electric power industry participants involved in the sale, and distribution of electric energy in the United States. The data collected on this form are used to monitor the current status and trends of the electric power industry and to evaluate the future of the industry. REQUIRED RESPONDENTS The Form EIA-861S is to be completed by all electric utilities with annual retail sales in the prior year of 100,000 megawatt-hours or less, with the following exceptions: 1. A respondent has retail sales of unbundled service; 2. A full set of data is required from the respondent to ensure that statistical estimates

108

A new-generation energy-saving industrial controlled electric drive  

Science Journals Connector (OSTI)

Results of the innovative development of an efficiently controlled, new-generation, energy-saving, industrial AC electric drive are presented. ... filter in the intermediate link. The improved energy and electrom...

R. T. Shreiner; V. K. Krivovyaz; A. I. Kalygin

2007-11-01T23:59:59.000Z

109

ASSESSMENT OF ELECTRICITY DEMAND IN IRAN'S INDUSTRIAL SECTOR USING DIFFERENT INTELLIGENT OPTIMIZATION TECHNIQUES  

Science Journals Connector (OSTI)

This study presents application of particle swarm optimization (PSO) and genetic algorithm (GA) methods to estimate electricity demand in Iran's industrial sectors, based on economic indicators. The economic indicators used in this study are number of ...

M. A. Behrang; E. Assareh; M. R. Assari; A. Ghanbarzadeh

2011-04-01T23:59:59.000Z

110

The risk of reform : privatisation and liberalisation in the Brazilian electric power industry  

E-Print Network [OSTI]

In 1996, when Brazil was well-underway to privatising and liberalising its electric power industry, few would have predicted that within five years the reforms would be a shambles. Like its neighbors Argentina and Chile, ...

Tankha, Sunil, Ph. D. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

111

'Tilted' Industrial Electric Rates: A New Negative Variable for Energy Engineers  

E-Print Network [OSTI]

The cost of purchased electricity for industry is rising even faster than for other sectors. Conventional means of reducing power costs include internal techniques like load management, demand controls and energy conservation. External mechanisms...

Greenwood, R. W.

1981-01-01T23:59:59.000Z

112

Could energy-intensive industries be powered by carbon-free electricity?  

Science Journals Connector (OSTI)

...possibility of converting industrial energy demand to electricity, and...decarbonization of the whole energy system using wind, biomass, solar power in deserts and...one-third of the world's energy consumption [1]; most of...

2013-01-01T23:59:59.000Z

113

Medium-term forecasting of demand prices on example of electricity prices for industry  

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 20062010 based on the data for 19972005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

114

Impact of Industrial Electric Rate Structure on Energy Conservation - A Utility Viewpiont  

E-Print Network [OSTI]

As the price of energy rises, changes in industrial electric rates will have an impact on energy usage and conservation. Utilities interested in reducing system peak demands may reflect this need in the rate structure as an incentive...

Williams, M. M.

1981-01-01T23:59:59.000Z

115

Electric Utilities' Role in Industrial Competitiveness: Going Beyond the Energy Audit  

E-Print Network [OSTI]

This paper describes EPRI's Partnership for Industrial Competitiveness. The Partnership, comprised of over 15 EPRI member utllities, was established to help electric utilities identify, develop; and implement competitiveness improvement...

Jeffress, R. D.

116

Critical Issues Facing Federal Customers and the Electric Industry: A Call to Partnering  

Broader source: Energy.gov [DOE]

Presentation covers critical issues facing federal customers and the electric industry and is given at the FUPWG Fall Meeting, held on November 28-29, 2007 in San Diego, California.

117

Impact of Electricity Deregulation on Industrial Assessment Strategies  

E-Print Network [OSTI]

efficiency project. Onsite generation of power and the changing rationales for its adoption has also experienced big changes. Energy security is becoming a strong motivation for industrial plants, options are increased, and third party funding is also...

Kasten, D. J.; Muller, M. R.; Pavlovic, F.

118

" Electricity Generation by Census Region, Census Division, Industry Group, and"  

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

A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" " Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," ","Waste"," " " "," "," ","Blast"," "," "," "," ","Oils/Tars","RSE" "SIC"," "," ","Furnace/Coke"," ","Petroleum","Pulping","Wood Chips,","And Waste","Row"

119

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," "," ","Residual","Distillate"," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

120

PROCESS PARAMETERS AND ENERGY USE OF GAS AND ELECTRIC OVENS IN INDUSTRIAL APPLICATIONS  

E-Print Network [OSTI]

PROCESS PARAMETERS AND ENERGY USE OF GAS AND ELECTRIC OVENS IN INDUSTRIAL APPLICATIONS Dr for Energy Efficiency and Renewable Energy Department of Mechanical and Industrial Engineering University of Massachusetts, Amherst, Massachusetts ABSTRACT The study was conducted to evaluate the energy use of natural gas

Massachusetts at Amherst, University of

Note: This page contains sample records for the topic "industry surveys electric" 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

Diagnosing and mitigating market power in Chile's electricity industry  

E-Print Network [OSTI]

This paper examines the incentives to exercise market power that generators would face and the different strategies that they would follow if all electricity supplies in Chile were traded in an hourly-unregulated spot ...

Arellano, Mara Soledad

2003-01-01T23:59:59.000Z

122

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

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

1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Electric Utilities",28463,27389,26533,25140,25005,24569,24991,24033,23587,22629,38903,38940,65384,6...

123

Further Findings Concerning Electrical Energy Monitoring in an Industrial Plant  

E-Print Network [OSTI]

The Energy Systems Laboratory (ESL) at Texas A&M University has monitored the real-time electrical energy consumption, demand, and power factor of a large metal fabrication plant in Houston, Texas for twelve months. Monthly reports that present...

Lewis, D. R.; Dorhofer, F. J.; Heffington, W. M.

124

A Study on the Failure of Industrial Electric Heater  

E-Print Network [OSTI]

The break down mechanism of a cylindrical electric heater is investigated by studying the uneven heating behavior of the heater by measuring the surface temperature variation of the heater when it is subjected to a boundary condition of constant...

Chyu, M. C.

125

Results of Electric Survey in the Area of Hawaii Geothermal Test...  

Open Energy Info (EERE)

Area of Hawaii Geothermal Test Well HGP-A Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Results of Electric Survey in the Area of Hawaii...

126

United States Industrial Electric Motor Systems Market Opportunities Assessment  

Broader source: Energy.gov [DOE]

The objectives of the Market Assessment were to: Develop a detailed profile of the stock of motor-driven equipment in U.S. industrial facilities; Characterize and estimate the magnitude of opportunities to improve the energy efficiency of industrial motor systems; Develop a profile of motor system purchase and maintenance practices; Develop and implement a procedure to update the detailed motor profile on a regular basis using readily available market information; and, Develop methods to estimate the energy savings and market effects attributable to the Motor Challenge Program.

127

The Role of Electricity Pricing Policy in Industrial Siting Decisions  

E-Print Network [OSTI]

maintenance business of our subsidiary Catalytic, Inc. The locational decision pattern of Air Pro ducts is a typical example of the herding in stinct of industrial plants. Very often our first investment in a new area is prompted by the need of other...~ric service in the U.S. and Europe. The methodology most utilities employ in forecasting peak demand for the purpose of planning new generation capacity excludes the demands of interruptible industrial customers. This exclusion alIto matically avoids...

Tam, C. S.

1981-01-01T23:59:59.000Z

128

RG&E (Electric) - Commercial and Industrial Efficiency Program | Department  

Broader source: Energy.gov (indexed) [DOE]

RG&E (Electric) - Commercial and Industrial Efficiency Program RG&E (Electric) - Commercial and Industrial Efficiency Program RG&E (Electric) - Commercial and Industrial Efficiency Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit State Government Tribal Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate No maximum per customer rebate; however, NYSEG/RG&E reserve the right to cap the rebate to any one customer Program Info State New York Program Type Utility Rebate Program Rebate Amount HVAC: Prescriptive incentives vary A/C or Heat Pump A/C or Heat Pump > 63 tons: $25/ton + $5/ton for each 0.1 EER above 9.7 Water Cooled Chillers: $6/ton or $15/ton + $2-$8/ton for each 0.01 kW/ton

129

Estimating Industrial Electricity Conservation Potential in the Pacific Northwest  

E-Print Network [OSTI]

each day) Annual Electric Power ConsumptionJ Million kWh Refrigeration Power J kW 3J 42l Other MachinerYJ kW 1J928 CookingJ kW 373 311 Space HeatingJ kW Total kW when Operating Fuel ConsumptionJ 10 6 Btu/Hr (When Operating) ,. 3. 3. Enqineering Analysis For each conservation measure applied to each typical plant, an engineering analysis was performed to calculate the potential electricity saving, capi tal costs for implementing the measure, annual oper ating...

Limaye, D. R.; Hinkle, B. K.; Lang, K.

1982-01-01T23:59:59.000Z

130

Electric Utility Industrial DSM and M&V Program  

E-Print Network [OSTI]

BC Hydro is an electric utility with a service area covering over 95% of the province of British Columbia in Canada. Power Smart is BC Hydros demand-side-management (DSM) division. Power Smart develops, operates and manages various DSM programs...

Lau, K. P. K.

2008-01-01T23:59:59.000Z

131

" Electricity Generation by Employment Size Categories, Industry Group,"  

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

Total Consumption of Offsite-Produced Energy for Heat, Power, and" Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Employment Size Categories, Industry Group," " and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," "," Employment Size(b)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",1000,"Row" "Code(a)","Industry Group and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors" ,"RSE Column Factors:",0.6,1.4,1.5,1,0.9,1,1

132

Voluntary GHG reduction in the US electric industry  

SciTech Connect (OSTI)

The report is a study of efforts by members of the industry to voluntarily reduce their greenhouse gas emission. Dozens of US utilities are leveraging voluntary greenhouse gas (GHG) emissions reduction programs to help develop cost-effective plans for responding to future potential regulation. Many of these utilities are taking aggressive steps to reduce their GHG emissions and positioning themselves as leaders. They are participating in voluntary programs for reasons ranging from pressure by environmental groups and investors to a desire for a stronger voice in shaping climate change policy. The report takes a comprehensive look at what is driving these voluntary efforts, what government and industry help is available to support them, and what specific activities are being undertaken to reduce GHG emissions. It explains the features of the most prominent voluntary utility programs to help companies determine which might best suit their needs. 1 app.

NONE

2005-11-15T23:59:59.000Z

133

Survey of Productive Uses of Electricity in Rural Areas | Open Energy  

Open Energy Info (EERE)

Survey of Productive Uses of Electricity in Rural Areas Survey of Productive Uses of Electricity in Rural Areas Jump to: navigation, search Tool Summary Name: Survey of Productive Uses of Electricity in Rural Areas Agency/Company /Organization: Robert E. Fishbein Sector: Energy Focus Area: Renewable Energy, Economic Development, Energy Efficiency Phase: Get Feedback, Evaluate Effectiveness and Revise as Needed Topics: - Energy Access, Finance Resource Type: Lessons learned/best practices User Interface: Website Website: www.martinot.info/Fishbein_WB.pdf Cost: Free UN Region: Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa Language: English The objective of the assignment is to survey and summarize the published literature as well as informal knowledge about the experience with promoting productive uses of

134

"2012 Total Electric Industry- Customers"  

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

Customers" Customers" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",6203726,842773,34164,5,7080668 "Connecticut",1454651,150435,4647,2,1609735 "Maine",703770,89048,2780,0,795598 "Massachusetts",2699141,389272,21145,2,3109560 "New Hampshire",601697,104978,3444,0,710119 "Rhode Island",435448,57824,1927,1,495200 "Vermont",309019,51216,221,0,360456 "Middle Atlantic",15727423,2215961,45836,26,17989246 "New Jersey",3455302,489943,12729,6,3957980 "New York",7010740,1038268,8144,6,8057158

135

Hydrothermal industrialization electric-power systems development. Final report  

SciTech Connect (OSTI)

The nature of hydrothermal resources, their associated temperatures, geographic locations, and developable capacity are described. The parties involved in development, required activities and phases of development, regulatory and permitting requirements, environmental considerations, and time required to complete development activities ae examined in detail. These activities are put in proper perspective by detailing development costs. A profile of the geothermal industry is presented by detailing the participants and their operating characteristics. The current development status of geothermal energy in the US is detailed. The work on market penetration is summarized briefly. Detailed development information is presented for 56 high temperature sites. (MHR)

Not Available

1982-03-01T23:59:59.000Z

136

"2012 Total Electric Industry- Revenue (Thousands Dollars)"  

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

Revenue (Thousands Dollars)" Revenue (Thousands Dollars)" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",7418025.1,6137400,3292222.3,37797.4,16885444.6 "Connecticut",2212594.3,1901294.3,451909.7,18679.5,4584477.8 "Maine",656822,467228,241624.4,0,1365674.3 "Massachusetts",3029291.6,2453106,2127180,17162,7626739.5 "New Hampshire",713388.2,598371.1,231041,0,1542800.3 "Rhode Island",449603.6,431951.9,98597.2,1955.9,982108.6 "Vermont",356325.4,285448.7,141870,0,783644.1 "Middle Atlantic",20195109.9,20394744.7,5206283.9,488944,46285082.4

137

"2012 Total Electric Industry- Sales (Thousand Megawatthours)"  

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

Sales (Thousand Megawatthours)" Sales (Thousand Megawatthours)" "(Data from forms EIA-861- schedules 4A, 4B, 4D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",47207.696,44864.227,27817.984,566.173,120456.08 "Connecticut",12757.633,12976.05,3565.944,192.711,29492.338 "Maine",4480.736,4053.188,3027.135,0,11561.059 "Massachusetts",20313.469,17722.811,16927.205,349.839,55313.324 "New Hampshire",4439.208,4478.42,1952.633,0,10870.261 "Rhode Island",3121.367,3639.866,923.478,23.623,7708.334 "Vermont",2095.283,1993.892,1421.589,0,5510.764 "Middle Atlantic",132230.522,157278.208,69506.519,3910.06,362925.309

138

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

1" 1" " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," "," ","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Code(a)","Industry Groups and Industry","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

139

" and Electricity Generation by Census Region, Census Division, Industry Group,"  

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

3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," 3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," " and Electricity Generation by Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Billion Btu)" ,,,,"Selected Wood and Wood-Related Products" ,,,,,"Biomass" " "," ",," "," "," ","Wood Residues","Wood-Related"," " " "," ","Pulping Liquor",," ","Wood Harvested","and Byproducts","and","RSE" "SIC"," ","or","Biomass","Agricultural","Directly","from","Paper-Related","Row"

140

Industry  

SciTech Connect (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

Note: This page contains sample records for the topic "industry surveys electric" 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

Impact of Industrial Electric Rate Structure on Load Management - A Utility Viewpoint  

E-Print Network [OSTI]

A few years ago our response to an inquiry regarding availability of electric service for a large industrial load was something like: 'Let us put this into our production model to determine whether we will have adequate generating capacity to commit...

Richardson, J. A.

1984-01-01T23:59:59.000Z

142

TY JOUR T1 Survey of Western U S Electric Utility Resource Plans  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Survey of Western U S Electric Utility Resource Plans Survey of Western U S Electric Utility Resource Plans JF Energy Policy A1 Jordan Wilkerson A1 Peter H Larsen A1 Galen L Barbose AB p We review long term electric utility plans representing nbsp of generation within the Western U S and Canadian provinces nbsp We nbsp address what utility planners assume about future growth of electricity demand and supply what types of risk they consider in their long term resource planning and the consistency in which they report resource planning related data The region is anticipated to grow by annually by before Demand Side Management nbsp About nbsp two thirds of nbsp the utilities that provided an annual energy forecast also nbsp reported energy ef ciency savings projections in aggregate they anticipate an average reduction in energy and nbsp reduction in peak demand by nbsp

143

Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry: A Systematic Prioritization of Research Needs  

E-Print Network [OSTI]

Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry: A Systematic and Policy Program #12;- 2 - #12;Carbon Dioxide Capture Technology for the Coal-Powered Electricity Industry must be developed for capturing CO2 from power plants. Current CO2 capture technology is expensive

144

SGA, the Geological Survey of Sweden and the Nordic mining industry invite you to the 12th SGA Biennial Meeting  

E-Print Network [OSTI]

SGA, the Geological Survey of Sweden and the Nordic mining industry invite you to the 12th SGA August 2013, Uppsala, Sweden Second circular #12;2 Contents Invitation 3 Venue 4 Committees 5 Scientific Survey of Sweden and the local organizing committee are proud to announce the 12th SGA Biennial Meeting

Flener, Pierre

145

Weather satellites and the economic value of forecasts: evidence from the electric power industry  

Science Journals Connector (OSTI)

Data from weather satellites have become integral to the weather forecast process in the United States and abroad. Satellite data are used to derive improved forecasts for short-term routine weather, long-term climate change, and for predicting natural disasters. The resulting forecasts have saved lives, reduced weather-related economic losses, and improved the quality of life. Weather information routinely assists in managing resources more efficiently and reducing industrial operating costs. The electric energy industry in particular makes extensive use of weather information supplied by both government and commercial suppliers. Through direct purchases of weather data and information, and through participating in the increasing market for weather derivatives, this sector provides measurable indicators of the economic importance of weather information. Space weather in the form of magnetic disturbances caused by coronal mass ejections from the sun creates geomagnetically induced currents that disturb the electric power grid, sometimes causing significant economic impacts on electric power distribution. This paper examines the use of space-derived weather information on the U.S. electric power industry. It also explores issues that may impair the most optimum use of the information and reviews the longer-term opportunities for employing weather data acquired from satellites in future commercial and government activity.

Henry R. Hertzfeld; Ray A. Williamson; Avery Sen

2004-01-01T23:59:59.000Z

146

Electricity Industry Leaders U.S. Utilities, Grid Operators, Others Come Together  

Broader source: Energy.gov (indexed) [DOE]

is Focus of New Effort by is Focus of New Effort by Electricity Industry Leaders U.S. Utilities, Grid Operators, Others Come Together in National Effort to Tackle Important New Electricity Area (Washington, DC, July 1, 2004) A new group formed to work on the important new electricity area known as demand response was announced today in Washington, DC. The United States Demand Response Coordinating Committee (DRCC) will bring together a number of parties to focus on developing information and tools needed to allow demand response to be another option employed to address national, regional and state electricity issues and challenges. The DRCC's efforts are the U.S. part of a larger, global demand response effort announced recently by the International Energy Agency's

147

2014 Electricity Form Proposals  

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

Electricity and Renewable (Photovoltaic) Survey Form Changes Proposed for Electricity and Renewable (Photovoltaic) Survey Form Changes Proposed for 2014 The U.S. Energy Information Administration (EIA) is proposing changes to its electricity data collection in 2014. These changes involve the following surveys: Form EIA-63B, "Annual Photovoltaic Cell/Module Shipments Report," Form EIA-411, "Coordinated Bulk Power Supply Program Report," Form EIA-826, "Monthly Electric Utility Sales and Revenue Report with State Distributions," Form EIA-860, "Annual Electric Generator Report," Form EIA-860M, "Monthly Update to the Annual Electric Generator Report," Form EIA-861, "Annual Electric Power Industry Report," Form EIA-861S, "Annual Electric Power Industry Report (Short Form)," and

148

INTERNAL REPAIR OF GAS PIPLINES SURVEY OF OPERATOR EXPERIENCE AND INDUSTRY NEEDS REPORT  

SciTech Connect (OSTI)

A repair method that can be applied from the inside of a gas transmission pipeline (i.e., a trenchless repair) is an attractive alternative to conventional repair methods since the need to excavate the pipeline is precluded. This is particularly true for pipelines in environmentally sensitive and highly populated areas. The objectives of the project are to evaluate, develop, demonstrate, and validate internal repair methods for pipelines; develop a functional specification for an internal pipeline repair system; and prepare a recommended practice for internal repair of pipelines. The purpose of this survey is to better understand the needs and performance requirements of the natural gas transmission industry regarding internal repair. A total of fifty-six surveys were sent to pipeline operators. A total of twenty completed surveys were returned, representing a 36% response rate, which is considered very good given the fact that tailored surveys are known in the marketing industry to seldom attract more than a 10% response rate. The twenty survey responses produced the following principal conclusions: (1) Use of internal weld repair is most attractive for river crossings, under other bodies of water (e.g., lakes and swamps) in difficult soil conditions, under highways, under congested intersections, and under railway crossings. All these areas tend to be very difficult and very costly if, and where, conventional excavated repairs may be currently used. (2) Internal pipe repair offers a strong potential advantage to the high cost of horizontal direct drilling (HDD) when a new bore must be created to solve a leak or other problem in a water/river crossing. (3) The typical travel distances required can be divided into three distinct groups: up to 305 m (1,000 ft.); between 305 m and 610 m (1,000 ft. and 2,000 ft.); and beyond 914 m (3,000 ft.). In concept, these groups require pig-based systems; despooled umbilical systems could be considered for the first two groups. For the last group a self-propelled system with an onboard self-contained power and welding system is required. (4) Pipe size range requirements range from 50.8 mm (2 in.) through 1,219.2 mm (48 in.) in diameter. The most common size range for 80% to 90% of operators surveyed is 508 mm to 762 mm (20 in. to 30 in.) diameter, with 95% using 558.8 mm (22 in.) diameter pipe.

Ian D. Harris

2003-09-01T23:59:59.000Z

149

Maintaining Generation Adequacy in a Restructuring U.S. Electricity Industry  

SciTech Connect (OSTI)

Historically, decisions on the amounts, locations, types, and timing of investments in new generation have been made by vertically integrated utilities with approval from state public utility commissions. As the U.S. electricity industry is restructured, these decisions are being fragmented and dispersed among a variety of organizations. As generation is deregulated and becomes increasingly competitive, decisions on whether to build new generators and to retire, maintain, or repower existing units will increasingly be made by unregulated for-profit corporations. These decisions will be based largely on investor assessments of future profitability and only secondarily on regional reliability requirements. In addition, some customers will choose to face real-time (spot) prices and will respond to the occasionally very high prices by reducing electricity use at those times. Market-determined generation levels will, relative to centrally mandated reserve margins, lead to: (1) more volatile energy prices; (2) lower electricity costs and prices; and (3) a generation mix with more baseload, and less peaking, capacity. During the transition from a vertically integrated, regulated industry to a deintegrated, competitive industry, government regulators and system operators may continue to impose minimum-installed-capacity requirements on load-serving entities. As the industry gains experience with customer responses to real-time pricing and with operation of competitive intrahour energy markets, these requirements will likely disappear. We quantitatively analyzed these issues with the Oak Ridge Competitive Electricity Dispatch model (ORCED). Model results show that the optimal reserve margin depends on various factors, including fuel prices, initial mix of generation capacity, and customer response to electricity prices (load shapes and system load factor). Because the correct reserve margin depends on these generally unpredictable factors, mandated reserve margins might be too high, leading to higher electricity costs and prices. Absent mandated reserve margins, electricity prices and costs decline with increasing customer response to prices during high-demand periods. The issues discussed here are primarily transitional rather than enduring. However, the transition from a highly regulated, vertically integrated industry to one dominated by competition is likely to take another five to ten years.

Hirst, E.; Hadley, S.

1999-10-01T23:59:59.000Z

150

The electricity supply industry in Germany: market power or power of the market?  

Science Journals Connector (OSTI)

This paper analyses the electricity supply industry in Germany, which was liberalized in April 1998. Noticeable aspects are the eligibility of all end-users, the lack of constraints on the vertical industry structure and the option for negotiated third party access. There is no sector-specific regulation. This paper argues that the vertically integrated firms concentrate on excessive network access charges, whereas the stages generation and retail appear to be relatively competitive. Empirical evidence suggests that in Germany network access charges make up a significantly higher share of end-user prices than in the UK, which is used as regulation-benchmark.

Gert Brunekreeft; Katja Keller

2000-01-01T23:59:59.000Z

151

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

152

Visioning the 21st Century Electricity Industry: Outcomes and Strategies for America  

Broader source: Energy.gov (indexed) [DOE]

Lauren Azar Lauren Azar Senior Advisor to the Secretary U. S. Department of Energy 8 February 2012 Visioning the 21 st Century Electricity Industry: Strategies and Outcomes for America http://teeic.anl.gov/er/transmission/restech/dist/index.cfm We all have "visions," in one form or another: * Corporations call them strategic plans * RTOs ... transmission expansion plans or Order 1000 plans * State PUCs ... integrated resource plans * Employees ... career goals Artist: Paolo Frattesi Artist: Paolo Frattesi DOE asks your help... Our Future? 1. Enable a seamless, cost-effective electricity

153

The electric and gas industries are converging: What does it mean?  

SciTech Connect (OSTI)

Three broad views define deregulation in retail gas and electric markets. One sees the future as but a lengthened shadow of the present. Change is glacial. The second predicts a significant but mannerly shift-a leisurely transition from monopoly to competition. The third posits revolution. It awaits a future marked by epochal, discontinuous, and abrupt changes. This third future is the most interesting. It raises the stakes. This article examines the industrial organization of gas and electric enterprises as they will be reinvented by those who embrace the third view. Not a prediction; rather, a thought experiment.

Dar, V.K.

1995-04-01T23:59:59.000Z

154

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 57, NO. 3, MARCH 2010 943 Electric Vehicle Using a Combination of  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 57, NO. 3, MARCH 2010 943 Electric Vehicle Using used for an experimental electric vehicle (EV). These batteries are cheaper than Li-ion cells and have. The results also show that this alternative is cheaper than Li-ion powered electric cars. Index Terms

Catholic University of Chile (Universidad Católica de Chile)

155

WATER AND BY-PRODUCT ISSUES IN THE ELECTRIC-UTILITY INDUSTRY  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and Power Conference in conjunction with 2 and Power Conference in conjunction with 2 nd Joint U.S.-People's Republic of China Conference on Clean Energy, November 17-19, 2003, Washington, DC A DOE R&D RESPONSE TO EMERGING COAL BY-PRODUCT AND WATER ISSUES IN THE ELECTRIC-UTILITY INDUSTRY Thomas J. Feeley, III Technology Manager U.S. Department of Energy - Office of Fossil Energy National Energy Technology Laboratory Pittsburgh, PA ABSTRACT While the regulation and control of air emissions will continue to be of primary concern to the electric-utility industry over the next several decades, other environmental-related issues may also impact the operation of existing and new coal-based power systems. Coal by-products are one such issue. Coal-fired power plants generate nearly 118 million tons of fly ash, flue gas

156

Household Response To Dynamic Pricing Of Electricity: A Survey Of The  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Focus Area: Crosscutting Topics: Market Analysis Website: www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentatio Equivalent URI: cleanenergysolutions.org/content/household-response-dynamic-pricing-el Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: "Mandates/Targets,Cost Recovery/Allocation,Enabling Legislation" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

157

Industrial  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Products Industrial Institutional Multi-Sector Residential Momentum Savings Regional Efficiency Progress Report Utility Toolkit Energy Smart Industrial - Energy Management...

158

Industry  

E-Print Network [OSTI]

2004). US DOEs Industrial Assessment Centers (IACs) are anof Energys Industrial Assessment Center program in SMEs

Bernstein, Lenny

2008-01-01T23:59:59.000Z

159

ELECTRICITY CONSUMPTION IN THE INDUSTRIAL SECTOR OF JORDAN: APPLICATION OF MULTIVARIATE LINEAR REGRESSION AND ADAPTIVE NEURO?FUZZY TECHNIQUES  

Science Journals Connector (OSTI)

In this study two techniques for modeling electricity consumption of the Jordanian industrial sector are presented: (i) multivariate linear regression and (ii) neuro?fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments number of employees electricity tariff prevailing fuel prices production outputs capacity utilizations and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro?fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However comparison that is based on the square root average squared error of data suggests that the neuro?fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work using different methods for other countries.

M. Samhouri; A. Al?Ghandoor; R. H. Fouad

2009-01-01T23:59:59.000Z

160

Industry  

E-Print Network [OSTI]

for example more efficient electric motors and motor-drivenuse of more efficient electric motors and motor systems, arehigh efficiency electric motors and insulation, etc. ) show

Bernstein, Lenny

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

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

E-Print Network [OSTI]

(Lehtonen et at. 1995) Finland 1992 1993 Industrial- US$15.79/kW - I-Hour Interruption Commercial - US$17.86/kW - I-Hour Interruption Residential- US$3.16/kW - I-Hour Interruption Lehtonen and Lemstroem (Lehtonen et al. 1995) Iceland 1992 1993.... VTT Energy. Jyvaskyla, Finland. (1995). 9. New York City Office of Economic Development. Statistical Profile of Emergency Aid Corrunission Applications. New York, New York. (1977). 10. Ontario Hydro. Ontario Hydro Survey on Power System...

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

162

Product-service systems in the electric car industry: critical success factors in marketing  

Science Journals Connector (OSTI)

Abstract In the electric car industry the service component assumes considerable importance and it is a relevant factor in purchasing decisions. Therefore, proper management of the Product-Service System (PSS) is essential. This article aims to 1) identify the main sub-systems of the PSS in the electric car industry and 2) identify the critical success factors (CSFs) in marketing. The review of the literature led to the definition of four sub-systems: vehicle, infrastructure, on-board electronics, and energy. Based on these PSS sub-systems, organisations belonging to each sub-system were selected, and five managers were interviewed. The data were analysed using a cognitive mapping technique. Ten \\{CSFs\\} were identified, of which two belong to the vehicle sub-system (value proposition and product-service system bundle); one relates to the electronic on-board sub-system (advanced navigation systems); three relate to infrastructure sub-system (incentives, alternative transport systems and advocacy campaigns) and three belong to infrastructure and energy sub-systems (ease of use, proximity of charging point and standardisation). Finally, partnerships among players involve all the four sub-systems. Moreover, the relevance/manageability matrix offers evidence that partnerships represent a priority factor that requires immediate action from companies. The research offers a new means to identify \\{CSFs\\} by using a PSS analysis rather than taking an industry sector perspective.

Sergio Cherubini; Gennaro Iasevoli; Laura Michelini

2014-01-01T23:59:59.000Z

163

Uranium industry annual 1994  

SciTech Connect (OSTI)

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

164

Survey Questionnaire on Environmental Management Practices: Summary of Results by Industry and practices  

E-Print Network [OSTI]

influence" Automotive Electronics/Electrical ChemicalsNumber of audits Automotive Electronics/Electrical Chemicalsvery important Electronics/Electrical Automotive Chemicals

Delmas, Magali A; Toffel, Michael W.

2008-01-01T23:59:59.000Z

165

Experimental Investigation on Energy Efficiency of Electrical Utilities in Process Industries through Standard Energy Conservation Practices  

Science Journals Connector (OSTI)

Abstract In this research paper energy uses and energy conservation opportunities for process industry is presented. It has been found that process industries consume a substantial amount of energy. Excessive use of energy is usually associated with many process plants in India. The study is based on the realization that enormous potential exists for cost effective improvements in the existing energy using equipments. Through the method of energy audit power rating, operation time, power factor and other important details of all the machines/equipments were collected for the selected industry. The measured data was analysed to find energy conservation opportunity. Energy saving techniques like, energy efficient pumps, stopping of air leakages, air compressor efficiency improvement was considered for energy conservation. Energy saving details was calculated with cost benefit analysis. Energy conservation implementation program was carried out for Centrifugal pumping system, Air compressor system, as per the management consent and requirement in the the selected industry. It has resulted in total saving of 2,29,369 electric units (kWh/year) and annual energy saving of Rs. 13,43,670 with an investment of Rs 2,45,000.

A. Vyas Pareshkumar; V. Bhale Purnanad

2014-01-01T23:59:59.000Z

166

2012,"Total Electric Power Industry","AK","Natural Gas",6,244.7,210.5  

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

TYPE_OF_PRODUCER","STATE_CODE","FUEL_SOURCE","GENERATORS","NAMEPLATE_CAPACITY TYPE_OF_PRODUCER","STATE_CODE","FUEL_SOURCE","GENERATORS","NAMEPLATE_CAPACITY (Megawatts)","SUMMER_CAPACITY (Megawatts)" 2012,"Total Electric Power Industry","AK","Natural Gas",6,244.7,210.5 2012,"Total Electric Power Industry","AK","Petroleum",4,4.8,4.8 2012,"Total Electric Power Industry","AK","Wind",1,24.6,24 2012,"Total Electric Power Industry","AK","All Sources",11,274.1,239.3 2012,"Total Electric Power Industry","AR","Coal",1,755,600 2012,"Total Electric Power Industry","AR","Natural Gas",1,22,20 2012,"Total Electric Power Industry","AR","All Sources",2,777,620

167

Industry  

E-Print Network [OSTI]

sized, high efficiency electric motors and insulation,by improving the efficiency of the electric motor throughelectric motors and motor-driven systems; high efficiency

Bernstein, Lenny

2008-01-01T23:59:59.000Z

168

Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles: A Survey  

SciTech Connect (OSTI)

The growing necessity for environmentally benign hybrid propulsion systems has led to the development of advanced power management control algorithms to maximize fuel economy and minimize pollutant emissions. This paper surveys the control algorithms for hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs) that have been reported in the literature to date. The exposition ranges from parallel, series, and power split HEVs and PHEVs and includes a classification of the algorithms in terms of their implementation and the chronological order of their appearance. Remaining challenges and potential future research directions are also discussed.

Malikopoulos, Andreas [ORNL

2014-01-01T23:59:59.000Z

169

The Energy Information Administration is proposing the following revisions to their electricity survey forms in 2011:  

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

Energy Information Administration proposed the following revisions to their electricity Energy Information Administration proposed the following revisions to their electricity survey forms in 2011: F or m E I A -411, " C oor dinated B ulk Power Supply Pr ogr am R epor t." * Change form name to "Coordinated Bulk Power Supply & Demand Program Report;" return to collecting projected reliability data on a 10-year basis as opposed to 5 years. Change "Council" to "Regional Entity" and add submission of Sub-regional level breakout of data. * Return to reporting on capacity and transmission planning for a 10-year horizon, rather than a 5-year horizon. * Adopt the current NERC 2009 Schedule 3 for summer and winter aggregated demand and supply information. Changes are as follows: Demand category additions include

170

Conference Paper for Electricity Industry in Transition: Issues and Prospects for Asia, Bangkok, Thailand, Jan. 14-16, 2004. 2003 Dennis Ray and Frank Wayno  

E-Print Network [OSTI]

and Education in a Transitioning Electric Power Industry Dennis Ray Executive Director Power Systems Engineering, in some cases over an extended period of time. Historically, the electric-power system has been vertically countries in using collaborative research. 1 Introduction The electric supply industry is in transition from

171

Comparison of AC drives for electric vehicles -- A report on experts` opinion survey  

SciTech Connect (OSTI)

It is recognized that wide applications of electric vehicles (EVs) will bring tremendous social, economical and ecological benefits. With the growing interests in electric vehicles, much effort is demanded for the development of efficient, reliable and economical AC drives` for EV propulsion purpose. Both induction motor (IM) drives and permanent magnet brushless DC motor (BDCM) drives have been applied to EVs. Switched reluctance motor (SRM) drives have been proposed as an alternative for EV propulsion. In order to assess the suitability of IM, BDCM and SRM drives for EV applications and to provide a technical support for the development and selection of future EV propulsion systems, the existing EV AC propulsion drives were compared, and a survey of experts` opinions was conducted. Comparison of the three AC drives was made on a relative and a quantitative basis using the survey questionnaires. According to the majority of the experts, induction motor drives are best suited for EV propulsion purpose, due to their low cost, high reliability, high speed, established converter and manufacturing technology, low torque ripple/noise and absence of position sensors. BDCM drives feature compactness, low weight and high efficiency and therefore provide an alternative for EV propulsion. The experts regard insulated gate bipolar transistors (IGBTs) as the most suited power semiconductor devices for AC drive converters at the present stage. 7 refs.

Chang, L. [New Brunswick Univ., Fredericton, New Brunswick (Canada). Dept. of Electrical Engineering] [New Brunswick Univ., Fredericton, New Brunswick (Canada). Dept. of Electrical Engineering

1994-08-01T23:59:59.000Z

172

Electrical resistivity survey in soil science: a review A. Samouelian a,b,*, I. Cousin a, A. Tabbagh c, A. Bruand d, G. Richard e  

E-Print Network [OSTI]

Electrical resistivity survey in soil science: a review A. Samouelian a,b,*, I. Cousin a, A, France Abstract Electrical resistivity of the soil can be considered as a proxy for the spatial scale. In this review, based on many electrical resistivity surveys, we expose the theory and the basic

Boyer, Edmond

173

Industry  

E-Print Network [OSTI]

Information on corn wet milling. Corn Refiners Association corn wet milling industry: An ENERGYas an automotive fuel. Corn wet milling is the most energy-

Bernstein, Lenny

2008-01-01T23:59:59.000Z

174

Industry  

E-Print Network [OSTI]

increased use of biomass and energy efficiency improvements,Moreira, J. , 2006: Global biomass energy potential. Journal19712004 Notes 1) Biomass energy included 2) Industrial

Bernstein, Lenny

2008-01-01T23:59:59.000Z

175

Nickel hydrogen battery cell testing data base: an industry and government survey  

SciTech Connect (OSTI)

Both government and industry were surveyed to determine the level of testing of nickel hydrogen (NiH/sub 2/) battery cells and to evaluate the demonstrable capabilities of the couple. Only flight-type cells undergoing ground test were incorporated in the data base; no boilerplate cells or flight batteries were included. Both USAF-design and COMSAT-design cells, as well as a few cells produced by SAFT, were listed. The USAF design is in test in both high and low-earth-orbit simulations, whereas the COMSAT design, intended specifically for high-orbit applications, is being tested predominantly in high orbits. The data from over 400 cells show that the reliability and capability of both designs for high-orbit applications are reasonably established out to ten years in geosynchronous orbit, and to approximately 3000 cycles in other high-orbit applications. However, the data base is weak and incomplete for applications of the USAF cell in low earth orbit. This results from the harsh testing environment to which these cells have been subjected, as well as from various minor design questions that were not resolved when these cells began testing. It must also be pointed out that most of the testing data base is constructed from cells that were developmental in design or manufacture (all cells purchased for a test are used, even if their performance is questionable), as contrasted to a flight program where it can be assumed that many of the failures listed would have been rejected prior either to life test or their use in a flight battery.

Badcock, C.C.; Milden, M.J.

1985-12-31T23:59:59.000Z

176

Industrial  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

are stressed by an aging infrastructure and increased demand for power. Electricity distribution companies are under pressure to improve reliability and system performance,...

177

Green Computing Wanted: Electricity Consumptions in the IT Industry and by Household Computers in Five Major Chinese Cities  

Science Journals Connector (OSTI)

Exhausted energy consumption becomes a world-wide issue nowadays. Computing contributes a large portion of energy consumption. The concept of green computing has been popularized. Along with the rapid development of China, energy issue becomes more and ... Keywords: energy/electricity consumption, IT industry, household computers, energy efficiency, green computing

Luyang Wang; Tao Wang

2011-08-01T23:59:59.000Z

178

Industry  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

179

Industry  

E-Print Network [OSTI]

for im- proving energy efficiency of corn wet milling havefor the corn wet milling industry: An ENERGY STAR Guide forfuel. Corn wet milling is the most energy-intensive food

Bernstein, Lenny

2008-01-01T23:59:59.000Z

180

Industry  

E-Print Network [OSTI]

options for combined heat and power in Canada. Office ofpolicies to promote combined heat and power in US industry.with fuel inputs in combined heat and power plants being

Bernstein, Lenny

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

Household activities through various lenses: crossing surveys, diaries and electric consumption  

E-Print Network [OSTI]

comparison between electricity consumption and behavioralU.S. residential electricity consumption Energy Policy, 42(of the residential electricity consumption. Energy Policy,

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

182

Tax and Fiscal Policies for Promotion of Industrial Energy Efficiency: A Survey of International Experience  

E-Print Network [OSTI]

and Macfarane, 2003). Norways Industrial Energy Efficiencyto Norways draft budget for 2004, the current energymanagement or energy monitoring. Like Thailand, Norway also

Price, Lynn; Galitsky, Christina; Sinton, Jonathan; Worrell, Ernst; Graus, Wina

2005-01-01T23:59:59.000Z

183

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

E-Print Network [OSTI]

the private-owned power plants that sell electricity to theElectricity Nominal IRA Ineffective Regulation Non-competitive Market Public & Privatein the private investors inferiority. In the electricity

Tsai, Chung-min

2010-01-01T23:59:59.000Z

184

Using Compressed Air Efficiency Projects to Reduce Peak Industrial Electric Demands: Lessons Learned  

E-Print Network [OSTI]

"To help customers respond to the wildly fluctuating energy markets in California, Pacific Gas & Electric (PG&E) initiated an emergency electric demand reduction program in October 2000 to cut electric use during peak periods. One component...

Skelton, J.

185

Impact of Cost and Reliability on Energy-Saving for Industrial Electrical Drives  

Science Journals Connector (OSTI)

The total electricity consumption of the world today is about 12,000 TWh (terawatthour) per annum and 80% is dedicated to electrical drives. Thus, energy saving is dominant in electrical drives where each per ...

Laszlo Szentirmai; Tivadar Szarka

2003-01-01T23:59:59.000Z

186

A survey of industries which interview students through the Texas A&M Placement Office to ascertain their attitude toward the Engineering Technology Department  

E-Print Network [OSTI]

A SURVEY OF INDUSTRIES WHICH INTERVIEW STUDENTS THROUGH THE TEXAS A&M PLACEMENT OFFICE TO ASCERTAIN THEIR ATTITUDE TOWARD THE ENGINEERING TECHNOLOGY DEPARTMENT A Thesis by ROY NEWELL JOHNSON Submitted to the Graduate College of Texas A... TOWARD THE ENGINEERING TECHNOLOGY DEPARTMENT A Thesis by ROY NEWELL JOHNSON Approved as to style and content by: (Chairman of Committee) (Head of Departmen (Member) (Memb er ) August 1972 g ". ;, 'j', '~ 0 ABSTRACT A Survey of Industries Which...

Johnson, Roy Newell

1972-01-01T23:59:59.000Z

187

Walk-through survey report: control technology for fermentation processes at Novo Biochemical Industries, Inc. , Franklinton, North Carolina  

SciTech Connect (OSTI)

A walkthrough survey of control technology for fermentation processes at Novo Biochemical Industries, Incorporated (SIC-2869), Franklinton, North Carolina was conducted in June, 1983. The company produced two industrial enzymes, alpha-amylase and amyl glucosidase, from microbial strains of Bacillus and Aspergillus. Engineering controls included enclosure of the production process and local exhaust ventilation of all bag dumping stations. Employee contact with the production process was minimal except for equipment maintenance and manual broth sample extraction. The majority of the large scale processes were computer controlled or monitored. All employees were required to maintain a clean work environment. The company used a computerized preventive-maintenance program. Routine industrial hygiene monitoring for active aerosilized liquid enzymes was conducted. The company had a relatively complete medical and biological monitoring program. Appropriate personal-protective equipment was required in all departments of the facility. The company employed a standardized procedure for entering a deep tank reactor vessel. The author concludes that the company employs state of the art technology and provides a work environment that minimizes potential exposure to microorganisms, process chemical intermediates, and biological products. An indepth survey of the facility is recommended.

Martinez, K.F.

1983-09-01T23:59:59.000Z

188

Case Studies of Industrial Cogeneration in the U. S.  

E-Print Network [OSTI]

This paper describes the results of a survey and evaluation of plant-specific information on industrial cogeneration. The study was performed as part of a project sponsored by the Electric Power Research Institute to evaluate Dual Energy Use Systems...

Limaye, D. R.; Isser, S.; Hinkle, B.; Hough, T.

1980-01-01T23:59:59.000Z

189

Carbon Emissions: Food Industry  

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

Food Industry Food Industry Carbon Emissions in the Food Industry The Industry at a Glance, 1994 (SIC Code: 20) Total Energy-Related Emissions: 24.4 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 6.6% Total First Use of Energy: 1,193 trillion Btu -- Pct. of All Manufacturers: 5.5% Carbon Intensity: 20.44 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 24.4 Net Electricity 9.8 Natural Gas 9.1 Coal 4.2 All Other Sources 1.3 Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998

190

Results of a 1995 hydraulic fracturing survey and a comparison of 1995 and 1990 industry practices  

SciTech Connect (OSTI)

This paper presents the results of a hydraulic fracturing survey conducted in 1995 on behalf of the Gas Research institute (GRI). The purpose of the survey was to determine the types of formations that are normally fracture treated; gather data on the fracture treatments that are normally pumped; determine the level of data collection being conducted in the field; determine the level of data analysis being conducted in the office and the field; solicit opinions on the level of technology required to obtain an accurate analysis for fracture treatments; solicit opinions of the limitations of current technology; determine what costs operators could justify to analyze fracture treatment data and obtain ideas on new areas of research. Data gathered in the survey included respondents company size (major, large/small independent, service company or consultant), geographical area of operation, well depths and permeabilities, fracture treatment size, proppant type and volume, level of detail in data gathering, fracture treatment design and real-time analysis. The 1995 data were compared to a similar survey conducted in 1990 by GRI to determine technology trends.

Carter, R.H.; Holditch, S.A.; Wolhart, S.L.

1996-12-31T23:59:59.000Z

191

Electrical anisotropy of mineralized and non mineralized rocks T.J. Katsube, M.E. Best*, and Jones, A.G., Geological Survey of Canada  

E-Print Network [OSTI]

PP 10.2 Electrical anisotropy of mineralized and non mineralized rocks T.J. Katsube, M.E. Best*, and Jones, A.G., Geological Survey of Canada Summary Significant electrical resistivity anisotropy, up to 1 to understand the electrical mechanisms involved in such anisotropic processes in order to provide information

Jones, Alan G.

192

Uranium industry annual 1995  

SciTech Connect (OSTI)

The Uranium Industry Annual 1995 (UIA 1995) provides current statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1995 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the period 1986 through 2005 as collected on the Form EIA-858, ``Uranium Industry Annual Survey``. Data collected on the ``Uranium Industry Annual Survey`` provide a comprehensive statistical characterization of the industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1995, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. Data on uranium raw materials activities for 1986 through 1995 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2005, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. The methodology used in the 1995 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. For the reader`s convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix D along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 14 figs., 56 tabs.

NONE

1996-05-01T23:59:59.000Z

193

Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing  

Science Journals Connector (OSTI)

Abstract As the installed capacity of wind generation in Ireland continues to increase towards an overall goal of 40% of electricity from renewable sources by 2020, it is inevitable that the frequency of wind curtailment occurrences will increase. Using this otherwise discarded energy by strategically increasing demand at times that would otherwise require curtailment has the potential to reduce the installed capacity of wind required to meet the national 2020 target. Considering two industrial electricity consumers, this study analyses the potential for the implementation of price based demand response by an industrial consumer to increase their proportional use of wind generated electricity by shifting their demand towards times of low prices. Results indicate that while curtailing during peak price times has little or no benefit in terms of wind energy consumption, demand shifting towards low price times is likely to increase a consumers consumption of wind generation by approximately 5.8% for every 10% saved on the consumers average unit price of electricity.

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

194

Commercial and Industrial Conservation and Load Management Programs at New England Electric  

E-Print Network [OSTI]

England Electric has initiated, through its three retail subsidiaries, an ambitious load management and conservation program designed to reduce its projected 1991 summer peak by 230 megawatts and save 335,000 megawatthours per year. The effort... headquartered in Westborough, Massachusetts. Subsidiaries include three retail operating companies -- Massachusetts Electric Company, which serves 850,000 customers in 146 communities; The Narragansett Electric Company, which serves 294,000 customers in 27...

Gibson, P. H.

195

Ways Electricity Can Be Used To Replace Fossil Fuels in The French Chemical Industry  

E-Print Network [OSTI]

commissioned roughly 7,250 MW of nuclear power plants (for 600 MW of coal - fired power plants - 450 MW of gas turbine and 170 MW of hydro-plants. From now on the share of nuclear energy in production of electricity will drastically increase ELECTRICITY... commissioned roughly 7,250 MW of nuclear power plants (for 600 MW of coal - fired power plants - 450 MW of gas turbine and 170 MW of hydro-plants. From now on the share of nuclear energy in production of electricity will drastically increase ELECTRICITY...

Mongon, A.

1982-01-01T23:59:59.000Z

196

Lost circulation in geothermal wells: survey and evaluation of industry experience  

SciTech Connect (OSTI)

Lost circulation during drilling and completion of geothermal wells can be a severe problem, particularly in naturally fractured and/or vugular formations. Geothermal and petroleum operators, drilling service companies, and independent consultants were interviewed to assess the lost circulation problem in geothermal wells and to determine general practices for preventing lost circulation. This report documents the results and conclusions from the interviews and presents recommendations for needed research. In addition, a survey was also made of the lost circulation literature, of currently available lost circulation materials, and of existing lost circulation test equipment.

Goodman, M.A.

1981-07-01T23:59:59.000Z

197

Agent-based simulation of electricity markets: a survey of tools  

Science Journals Connector (OSTI)

Agent-based simulation has been a popular technique in modeling and analyzing electricity markets in recent years. The main objective of this paper is to study existing agent-based simulation packages for electricity markets. We first provide an overview ... Keywords: Adaptation, Agent-based simulation, Artificial life, Electricity market, Swarm intelligence

Zhi Zhou; Wai Kin Chan; Joe H. Chow

2007-12-01T23:59:59.000Z

198

Power Quality/Harmonic Detection: Harmonic Control in Electric Power Systems for the Telecommunications Industry  

E-Print Network [OSTI]

The control of harmonics in power systems continues to be a major concern in the telecommunications industry. AC/DC telecommunication conversion equipment has rarely been thought of as playing a major role in the harmonic interaction problem. Yet...

Felkner, L. J.; Waggoner, R. M.

199

The United States Industrial Electric Motor Systems Market Opportunities Assessment: Key Results  

E-Print Network [OSTI]

portrait of the inventory of motor systems currently in use in US industrial facilities, estimate motor system energy use and potential for energy savings. The research and analysis to support these objectives consisted primarily of on-site motor system...

Rosenberg, M.

200

Could energy-intensive industries be powered by carbon-free electricity?  

Science Journals Connector (OSTI)

...Gutowski and Ernst Worrell Could energy-intensive industries be powered...MacKay, DJC . 2008 Sustainable energy-without the hot air. Cambridge...com . 3 Gallman, PG . 2011 Green alternatives and national energy strategy: the facts behind the...

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

An industrial hygiene survey of acetonitrile using a miniature quadrupole mass spectrometer  

E-Print Network [OSTI]

LIST OF TABLES Page Table I. Characteristics of the Three Common MS Instruments . . . Table II. Compounds with Ions of Mass 39 to 41 AMU. . . 15 Table III. Micropole System Components. . . 18 Table IV. Charcoal Tube Results for Samples Taken... and multi-charged ions, the mass-charge ratio will be simply referred to as mass, or atomic mass unit (AMU), in this thesis, Between pairs of opposite and electrically connected rods, a DC voltage and superimposed RF potential are applied (see Pigure 4...

Bruss, Stacy M

2012-06-07T23:59:59.000Z

202

The Impacts of Utility-Sponsored Demand-Side Management Programs on Industrial Electricity Consumers  

E-Print Network [OSTI]

One of the most pressing issues in electric utility regulation today is the extent to which demand-side management (DSM) programs should be promoted by utilities. DSM refers to energy-efficiency or conservation measures, such as insulation, more...

Rosenblum, J. I.

203

Time-of-use pricing and electricity demand response: evidence from a sample of Italian industrial customers  

Science Journals Connector (OSTI)

The introduction of real time pricing in many wholesale market as well as the liberalisation process involving the retail market poses the attention over the measurement of demand response to time differentiated price signals. This paper shows an example of how to estimate elasticities of substitution across time using a sample of Italian industrial customers facing time-of-use (TOU) pricing schemes. The model involves the estimation of a nested constant elasticity of substitution (CES) input demand function, which allows estimating substitutability of electricity usage across hourly intervals within a month and across different months.

Graziano Abrate

2008-01-01T23:59:59.000Z

204

Essays on empirical analysis of multi-unit auctions -- impacts of financial transmission rights on the restructured electricity industry  

E-Print Network [OSTI]

by HAILING ZANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Steven L. Puller Committee Members, Steven N. Wiggins Qi Li...ESSAYS ON EMPIRICAL ANALYSIS OF MULTI-UNIT AUCTIONS ? IMPACTS OF FINANCIAL TRANSMISSION RIGHTS ON THE RESTRUCTURED ELECTRICITY INDUSTRY A Dissertation by HAILING ZANG Submitted to the Office of Graduate Studies of Texas A&M University in partial...

Zang, Hailing

2005-11-01T23:59:59.000Z

205

CHP Modeling as a Tool for Electric Power Utilities to Understand Major Industrial Customers  

E-Print Network [OSTI]

for optimum rate design. REFERENCES 1. Kumana, J D and R Nath, "Demand Side Dispatching, Part 1 - A Novel Approach for Industrial Load Shaping Applications", IETC Proceedings (March 93) 2. R Nath, D A Cerget, and E T Henderson, "Demand Side... Dispatching, Part 2 - An Industrial Application", IETC Proceedings (March 93) 3. R Nath and J D Kumana, "NOx Dispatching in Plant Utility Systems using Existing Software Tools", IETC Proceedings (April 92) 4. R Nath, J D KUJIl3I13, and J F Holiday...

Kumana, J. D.; Alanis, F. J.; Swad, T.; Shah, J. V.

206

"In terms of the long-term outlook for biomass and biofuels, the largest proportion of Business Insights industry survey respondents  

E-Print Network [OSTI]

"In terms of the long-term outlook for biomass and biofuels, the largest proportion of Business Insights industry survey respondents (47%) thought that biofuels would account for 5-10% of total global fuel production by 2017. A further 25% of respondents thought that biofuels would account for 2

207

Use of continuous emission monitoring in the electric utility industry. Paper 81. 48. 3  

SciTech Connect (OSTI)

Steam electric generating plants are subject to continuous monitoring regulations. Reliable emission data are recorded to be reported to regulatory agencies. The continuous monitor is being used as a diagnostic tool for optimizing operation of control equipment also. Monitored data identify the magnitude, duration, and time of any emissions exceeding compliance standards so that corrective actions may be taken.

Van Gieson, J.

1981-01-01T23:59:59.000Z

208

Electric power annual 1992  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric utility statistics at national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts and the general public with historical data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. ``The US Electric Power Industry at a Glance`` section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; retail sales; revenue; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms.

Not Available

1994-01-06T23:59:59.000Z

209

Identification, definition and evaluation of potential impacts facing the US electric utility industry over the next decade. Final report  

SciTech Connect (OSTI)

There are numerous conditions of the generation system that may ultimately develop into system states affecting system reliability and security. Such generation system conditions should also be considered when evaluating the potential impacts on system operations. The following five issues have been identified to impact system reliability and security to the greatest extent: transmission access/retail wheeling; non-utility generators and independent power producers; integration of dispersed storage and generation into utility distribution systems; EMF and right-of-way limitations; Clean Air Act Amendments. Strictly speaking, some issues are interrelated and one issue cannot be completely dissociated from the others. However, this report addresses individual issues separately in order to determine all major aspects of bulk power system operations affected by each issue. The impacts of the five issues on power system reliability and security are summarized. This report examines the five critical issues that the US electric utility industry will be facing over the next decade. The investigation of their impacts on utility industry will be facing over the next decade. The investigation of their impacts on utility system reliability and security is limited to the system operation viewpoint. Those five issues will undoubtedly influence various planning aspects of the bulk transmission system. However, those subjects are beyond the scope of this report. While the issues will also influence the restructure and business of the utility industry politically, sociologically, environmentally, and economically, all discussion included in the report are focused only on technical ramifications.

Grainger, J.J.; Lee, S.S.H.

1993-11-26T23:59:59.000Z

210

Carbon Emissions: Paper Industry  

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

Paper Industry Paper Industry Carbon Emissions in the Paper Industry The Industry at a Glance, 1994 (SIC Code: 26) Total Energy-Related Emissions: 31.6 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 8.5% Total First Use of Energy: 2,665 trillion Btu -- Pct. of All Manufacturers: 12.3% -- Pct. Renewable Energy: 47.7% Carbon Intensity: 11.88 MMTC per quadrillion Btu Renewable Energy Sources (no net emissions): -- Pulping liquor: 882 trillion Btu -- Wood chips and bark: 389 trillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 31.6 Net Electricity 11.0

211

Household response to dynamic pricing of electricity: a survey of 15 experiments  

Science Journals Connector (OSTI)

Since the energy crisis of 20002001 in the western United States, much attention has been given to boosting demand response in electricity markets. One of the best ... generation costs that could be brought abou...

Ahmad Faruqui; Sanem Sergici

2010-10-01T23:59:59.000Z

212

HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS  

E-Print Network [OSTI]

factors, such as the magnitude of the price increase, the presence of central air conditioning form of direct load control of end-uses such as central air conditioning or electric water heating

213

"Annual Electric Power Industry Report (EIA-861 data file)  

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

FILES FILES Electric power sales, revenue, and energy efficiency Form EIA-861 detailed data files Release Date for 2012: October 29, 2013 Next Release date: October 29, 2014 Re-Release 2012 data: December 9, 2013 (CORRECTION) Data files include information such as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity. The EIA-861S (Short Form) was created in 2012. Approximately 1,100 utilities completed this form in lieu of the EIA-861. The short form has fewer questions and collects retail sales data as an aggregate and not by customer sector. EIA has estimated the customer sector breakdown for this data and has included under the file called "Retail Sales." Advanced metering data and time-of-use data are collected on both Form EIA-861 and Form EIA-861S.

214

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Rhode Island" Rhode Island" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",591756,171457,109308,53740,68641,653076,3301111,3562833,2061351,9436,10823,"-",11836,11771,12402,10805,11008,11075,10612,10612,10827,0.2,0.1 " Petroleum",158154,54218,74715,28582,33836,50334,61675,16609,8827,9436,10823,"-",11836,11771,12402,10805,11008,11075,10612,10612,10827,0.2,0.1 " Natural Gas",433602,117239,34593,25158,34805,602742,3239436,3546224,2052524,"-","-","-","-","-","-","-","-","-","-","-","-","-","-"

215

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Pennsylvania" Pennsylvania" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",165682846,162366875,166034292,166200686,169029050,168941707,175022081,177166516,173903236,161595988,97075771,27633966,30537243,30099444,33900004,1058313,1311434,1077389,1224597,1159659,1086500,48.1,0.5 " Coal",101996271,100359157,102198817,100390066,93951561,96799645,100857561,105445514,106516740,85580341,36704124,13863092,15935860,15944113,18396944,"-","-","-","-","-","-",18.2,"-" " Petroleum",4013814,3713606,2220932,4559186,5182491,3072153,3212502,2307411,4097006,3063268,1656505,21609,39420,34944,32129,7717,2942,"-",873,710,525,0.8,"*"

216

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Nevada" Nevada" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",19286260,20922439,20962974,19820333,20519076,19997354,21362057,22869773,26552567,26485602,29341675,27896065,25008568,24634871,24246391,24112225,19686302,22376989,22979409,26095005,23710917,82.7,67.5 " Coal",15053277,16365730,16443169,15627860,15324714,13971824,14656868,15250606,17161341,16907530,18931521,17736970,16413025,17085959,18257265,18384261,7253521,7090911,6884521,6376887,5584370,53.4,15.9 " Petroleum",284108,238321,327585,246506,166446,26549,93811,31156,50285,35418,64614,911611,25472,16793,95766,20500,17347,11447,9865,8472,7675,0.2,"*"

217

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Minnesota" Minnesota" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",41549628,40427575,37783876,41254101,40917280,42502869,41791506,40302526,43976935,44153826,46615673,44798014,48568719,49576276,47232462,46791349,46710674,47793039,46758314,44442211,45428599,90.7,84.6 " Coal",27587603,26186299,24443013,27110850,26399834,26820765,27329077,27081067,29884402,28366977,31731081,31037544,32200713,33157032,31477117,30514512,30600302,31199099,30771207,28582304,27176478,61.7,50.6 " Petroleum",440740,575916,638979,630166,596987,484708,640427,763764,649866,674398,440264,599557,640129,845239,752362,752774,484235,362765,211633,49502,25870,0.9,"*"

218

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Maryland" Maryland" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",9758,10723,10862,10709,10837,10957,10957,11101,10970,10955,753,70,69,70,79,79,79,80,80,80,80,7.2,0.6 " Coal",3975,4617,4617,4628,4631,4636,4636,4647,4647,4647,"-","-","-","-","-","-","-","-","-","-","-","-","-" " Petroleum",2479,2427,3040,2717,2648,1394,2618,2631,2516,2673,241,70,69,70,79,79,79,80,80,80,80,2.3,0.6 " Natural Gas",1225,1601,1127,1275,1353,2722,1498,1618,1602,1448,"-","-","-","-","-","-","-","-","-","-","-","-","-"

219

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Connecticut" Connecticut" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",7141,7060,6988,6754,6733,6722,6321,6294,5616,2919,2204,185,34,210,174,25,37,111,111,111,160,34.2,1.9 " Coal",385,385,385,385,385,385,385,385,385,"-","-","-","-","-","-","-","-","-","-","-","-","-","-" " Petroleum",3335,3263,3191,2957,2738,2728,2831,2801,2744,756,176,176,25,201,165,16,28,30,30,30,76,2.7,0.9 " Natural Gas","-","-","-","-",214,214,338,341,341,"-","-","-","-","-","-","-","-",71,71,71,75,"-",0.9

220

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

District of Columbia" District of Columbia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",806,806,806,806,806,806,806,806,806,806,"-","-","-","-","-","-","-","-","-","-","-","-","-" " Petroleum",806,806,806,806,806,806,806,806,806,806,"-","-","-","-","-","-","-","-","-","-","-","-","-" "Independent Power Producers and Combined Heat and Power",3,3,3,3,3,3,"-","-","-","-",804,806,806,806,806,806,806,806,790,790,790,100,100

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


221

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Connecticut" Connecticut" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",32155574,23552082,25153644,28714867,27201416,26931900,15773738,13227766,15122925,20484367,16992594,2816826,21463,59812,45095,41709,47612,37217,52334,47137,65570,51.5,0.2 " Coal",2351049,2117781,2148078,1907826,2104045,2269352,2367889,2557934,1482608,"-","-","-","-","-","-","-","-","-","-","-","-","-","-" " Petroleum",8632571,7890483,5297424,4206354,3353897,3397400,5255050,8431425,8608001,5793975,7726,11032,928,13955,9253,695,1282,3325,2597,2465,2604,"*","*"

222

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Colorado" Colorado" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",31312872,31038231,31899303,32687317,33324413,32673972,33971688,34375573,35471294,36167349,40108260,41957723,41509933,41226252,40436218,41014609,42055989,42353281,41176711,37467527,39584166,90.8,78 " Coal",29602738,28922906,30001882,30456351,31401250,30276010,31952337,32002082,33079201,32605202,35101982,35654162,35135198,35807527,35570358,35285966,36003331,35722617,34639561,31454143,34386818,79.5,67.8 " Petroleum",25129,37883,39164,8898,8913,10136,15539,14623,36736,32430,91320,158742,22519,33927,11797,15464,17646,14748,18092,12583,17424,0.2,"*"

223

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

District of Columbia" District of Columbia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",361043,179814,73991,188452,274252,188862,109809,70661,243975,230003,97423,"-","-","-","-","-","-","-","-","-","-",67.5,"-" " Petroleum",361043,179814,73991,188452,274252,188862,109809,70661,243975,230003,97423,"-","-","-","-","-","-","-","-","-","-",67.5,"-" "Independent Power Producers and Combined Heat and Power","-","-","-","-","-","-","-","-","-","-",46951,123239,261980,74144,36487,226042,81467,75251,72316,35499,199858,32.5,100

224

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

California" California" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",114528000,104967938,119309725,125782063,126749186,121881402,114706047,112183063,114926213,87874809,85856285,70132656,74588271,81728209,75177122,89348213,100338454,87348589,83346844,85123706,96939535,41.3,47.5 " Petroleum",4385235,598489,325424,2007674,1862719,488530,674899,141872,121385,51769,144590,316691,43933,50996,51482,57974,58991,65296,58187,50625,40819,0.1,"*" " Natural Gas",45221848,43940427,56609607,46499103,61530357,39089723,30768135,36300778,26385452,13917748,12411961,11918703,8808012,9873371,10759580,12982348,19805412,22896497,26129803,25237449,31251994,6,15.3

225

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Wyoming" Wyoming" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",39378154,38667162,41852352,40154595,42337169,39683722,40851631,40765087,44699071,42951057,44585709,43764015,42532420,42261405,43059537,44031568,42905244,43144350,43909400,43182207,44738543,98,93 " Coal",38681220,37862584,41153537,39301199,41380267,38804539,39551555,39315335,43287140,41718548,43355361,42560578,41685278,41490825,42372775,43112061,41948761,42204359,42900080,41040274,42126910,95.3,87.5 " Petroleum",45561,60850,54839,56970,47029,67673,59443,58765,42871,46197,35159,33744,38686,41567,43450,40311,44240,46116,43765,49958,55973,0.1,0.1

226

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Idaho" Idaho" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",8617977,8281502,6260025,9022654,7303193,10062854,12230805,13511823,11978079,12456120,10114257,6666589,8164140,7732812,7765655,8032438,10495090,8611890,8893983,9977502,8589208,84.9,71.4 " Petroleum",615,311,475,103,31,311,245,95,253,155,2792,3723,65,116,136,5,144,134,120,41,74,"*","*" " Natural Gas","-","-","-","-","-","-","-","-","-","-","-","-",76168,61229,27775,73353,94504,240504,230189,286865,170231,"-",1.4

227

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Oklahoma" Oklahoma" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",45063182,44850089,45942891,48810720,45380625,47955288,47544649,48380102,51454036,50278792,51403249,50413729,51218320,49776514,48298390,54250814,51917155,54177692,60074823,57516914,57421195,92.5,79.5 " Coal",25188557,26027968,27666494,28990113,27453911,29714368,31876730,33036688,31026837,30588375,32852645,32164601,33444114,34200128,31240478,33604628,32324391,31610751,33625415,31645255,29102532,59.1,40.3 " Petroleum",49422,18533,15180,14027,11456,77528,124951,12568,7541,7622,46637,146375,10311,111555,21008,13181,24187,139391,12600,12433,12606,0.1,"*"

228

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Michigan" Michigan" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",89058681,94567383,82679444,92250107,83720636,92478772,95155261,89564616,85146307,87874695,89572141,97067330,100451718,96634055,99608512,104830689,97373706,96785842,94503953,82787341,89666874,86,80.4 " Coal",65295742,65138291,61434530,61558991,67538611,65425002,66097259,65552021,69142807,69118017,66980252,66931691,65389899,66448916,67253690,69158736,66654737,69406550,68421489,65867455,64766712,64.3,58.1 " Petroleum",689461,553863,498159,619777,655860,687264,651860,602053,1005170,1282696,993932,724313,1090767,883847,714881,788563,272106,445915,281604,215189,195180,1,0.2

229

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Maryland" Maryland" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",31497406,38215120,39586558,43488284,43765565,44658945,44380543,44552905,48513503,49323828,31783195,88150,30734,51722,30023,44235,11941,23712,5856,2294,2996,62.1,"*" " Coal",23299412,22622989,23625314,24890670,25394481,27369905,27780141,27394342,29077013,29352347,20353004,"-","-","-","-","-","-","-","-","-","-",39.8,"-" " Petroleum",3328080,3935221,2611820,3953777,4133533,1407598,1401195,1478623,3311978,3897208,1507860,87790,30734,51722,30023,44235,11941,23712,5856,2294,2832,2.9,"*"

230

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Massachusetts" Massachusetts" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",36478610,35802358,32838301,28163544,27466049,26971667,27758877,33898697,26036881,4359511,1704653,1566491,1156651,2055622,1524169,1622208,942917,493885,507254,447912,802906,4.4,1.9 " Coal",11273069,11861344,10949228,9815909,10209727,10586608,11500536,12488802,8168608,1073628,1094848,1096681,"-",1074514,903789,1025141,"-","-","-","-","-",2.8,"-" " Petroleum",14556403,15612257,13282101,11112574,9561302,5848663,6221378,11586081,10019730,300040,123931,131797,220435,517767,290865,189211,29031,58456,57639,32698,42546,0.3,0.1

231

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Oregon" Oregon" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",49171999,46298021,41220343,40743085,37490089,44031261,47883913,49068279,46352310,51698318,46059938,38059649,39731986,38577937,39092958,37407039,43068822,43202516,44590530,42703218,41142684,88.9,74.6 " Coal",1297978,2814199,3682715,3502742,3814009,1527874,1727583,1500879,3348089,3697900,3785462,4423843,3768531,4285697,3535764,3463644,2370628,4351624,4044319,3196902,4126435,7.3,7.5 " Petroleum",26809,9648,9212,32365,5398,4346,6631,10942,33127,7699,52038,92767,5893,44035,20305,47427,4323,5044,9974,2825,3330,0.1,"*"

232

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Delaware" Delaware" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",7099663,7603723,6267492,8306462,8501043,8324101,8121853,6578599,6317738,6239372,4137127,1872053,170994,31107,23751,25989,16558,47830,19068,12768,30059,69.1,0.5 " Coal",4904473,4598301,3813594,5185396,4754309,4226615,4225125,3925643,3811669,2762460,3319195,1626254,"-","-","-","-","-","-","-","-","-",55.4,"-" " Petroleum",1436186,1899201,1829938,2094383,1619659,917065,1188294,832577,1234464,1234121,398100,209088,154118,9863,10083,6442,113,4132,512,457,843,6.6,"*"

233

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Pennsylvania" Pennsylvania" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",33440,33337,33446,33423,33675,33699,33723,33825,33781,25251,13394,4978,4887,4921,4968,455,455,455,455,455,455,36.3,1 " Coal",17543,16894,17515,17480,17492,17503,17463,17386,17386,10108,3133,2407,2360,2360,2407,"-","-","-","-","-","-",8.5,"-" " Petroleum",5031,5031,4845,4875,4881,4860,4881,3208,3374,3022,1999,3,3,"-","-","-","-","-","-","-","-",5.4,"-"

234

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Maine" Maine" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",2407,2417,2405,2402,2433,2432,2387,1498,1457,88,21,17,16,19,19,19,19,19,19,19,19,0.5,0.4 " Petroleum",1126,1126,1115,1111,1109,1109,1069,1064,1025,54,18,17,16,19,19,19,19,19,19,19,19,0.4,0.4 " Nuclear",860,870,870,870,870,870,870,"-","-","-","-","-","-","-","-","-","-","-","-","-","-","-","-" " Hydroelectric",420,420,420,421,422,421,416,404,402,34,3,"-","-","-","-","-","-","-","-","-","-",0.1,"-"

235

2014-05-08 Issuance: Energy Conservation Standards for Commercial and Industrial Electric Motors; Final Rule  

Broader source: Energy.gov [DOE]

This document is a pre-publication Federal Register final rule regarding energy conservation standards for electric motors, as issued by the Assistant Secretary for Energy Efficiency and Renewable Energy on May 8, 2014. Though it is not intended or expected, should any discrepancy occur between the document posted here and the document published in the Federal Register, the Federal Register publication controls. This document is being made available through the Internet solely as a means to facilitate the public's access to this document.

236

2013 Electricity Form Proposals  

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

Electricity Survey Form Changes in 2013 The U.S. Energy Information Administration (EIA) proposed changes to its electricity data collection in 2013. These changes involve three forms: Form EIA-861, "Annual Electric Power Industry Report" The addition of a new form, the Form EIA-861S, "Annual Electric Power Industry Report (Short Form)" Form EIA-923, "Power Plant Operations Report." The proposals were initially announced to the public via a Federal Register Notice published March 15, 2012. Comments regarding this proposed information collection were due by May 14, 2012. EIA reviewed all comments and made several revisions to the proposals as a result. A second Federal Register Notice was published on August 30, 2012. It outlined the proposals

237

A framework and review of customer outage costs: Integration and analysis of electric utility outage cost surveys  

SciTech Connect (OSTI)

A clear understanding of the monetary value that customers place on reliability and the factors that give rise to higher and lower values is an essential tool in determining investment in the grid. The recent National Transmission Grid Study recognizes the need for this information as one of growing importance for both public and private decision makers. In response, the U.S. Department of Energy has undertaken this study, as a first step toward addressing the current absence of consistent data needed to support better estimates of the economic value of electricity reliability. Twenty-four studies, conducted by eight electric utilities between 1989 and 2002 representing residential and commercial/industrial (small, medium and large) customer groups, were chosen for analysis. The studies cover virtually all of the Southeast, most of the western United States, including California, rural Washington and Oregon, and the Midwest south and east of Chicago. All variables were standardized to a consistent metric and dollar amounts were adjusted to the 2002 CPI. The data were then incorporated into a meta-database in which each outage scenario (e.g., the lost of electric service for one hour on a weekday summer afternoon) is treated as an independent case or record both to permit comparisons between outage characteristics and to increase the statistical power of analysis results. Unadjusted average outage costs and Tobit models that estimate customer damage functions are presented. The customer damage functions express customer outage costs for a given outage scenario and customer class as a function of location, time of day, consumption, and business type. One can use the damage functions to calculate outage costs for specific customer types. For example, using the customer damage functions, the cost experienced by an ''average'' customer resulting from a 1 hour summer afternoon outage is estimated to be approximately $3 for a residential customer, $1,200 for small-medium commercial and industrial customer, and $82,000 for large commercial and industrial customer. Future work to improve the quality and coverage of information on the value of electricity reliability to customers is described.

Lawton, Leora; Sullivan, Michael; Van Liere, Kent; Katz, Aaron; Eto, Joseph

2003-11-01T23:59:59.000Z

238

To: Rebecca Peterson, ERS2014@eia.gov Re: Public Comments on Form EIA-861, ''Annual Electric Power Industry Report''  

Gasoline and Diesel Fuel Update (EIA)

To: Rebecca Peterson, ERS2014@eia.gov To: Rebecca Peterson, ERS2014@eia.gov Re: Public Comments on Form EIA-861, ''Annual Electric Power Industry Report'' From: Volunteer members of the Large Public Power Council Energy Efficiency Working Group (LPPC EEWG) Benchmarking Subcommittee, led by:  Subcommittee Chair Norman Muraya (Austin Energy) norman.muraya@austinenergy.com,  Member Tom Gross (Orlando Utilities Commission) tgross@ouc.com, and  Facilitated by Annika Brink (Alliance to Save Energy/Clean and Efficient Energy Program for Public Power) abrink@ase.org. Over the course of the past year, the LPPC EEWG's Benchmarking Subcommittee has leveraged data from Form EIA-861, Schedule 6 to benchmark the energy efficiency activities and performance of LPPC

239

"2012 Total Electric Industry- Average Retail Price (cents/kWh)"  

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

Average Retail Price (cents/kWh)" Average Retail Price (cents/kWh)" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",15.713593,13.679941,11.83487,6.6759453,14.017926 "Connecticut",17.343298,14.652335,12.672933,9.6930118,15.54464 "Maine",14.658797,11.52742,7.9819499,".",11.812709 "Massachusetts",14.912724,13.841518,12.566635,4.9056852,13.78825 "New Hampshire",16.070168,13.36121,11.83228,".",14.192854 "Rhode Island",14.404061,11.867247,10.676724,8.2796427,12.740867 "Vermont",17.006075,14.316157,9.9796777,".",14.220244

240

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network [OSTI]

EV market studies In the absenceof data on actual sales,EV, then we expect 16 to 18% annual of of light-duty vehicle salesEV experiments indicate there is still more than adequatepotential marketsfor electric vehicles to have , exceededthe former 1998CARB mandatefor sales

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

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


241

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Hawaii" Hawaii" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",1487,1521,1560,1602,1602,1602,1610,1595,1616,1608,1626,1622,1622,1624,1691,1705,1730,1730,1730,1859,1828,68.1,72.1 " Petroleum",1483,1518,1556,1598,1598,1598,1607,1592,1612,1605,1621,1616,1618,1620,1687,1699,1724,1724,1724,1740,1711,67.9,67.5 " Hydroelectric",3,3,3,3,3,3,3,3,4,4,4,3,2,2,2,4,4,4,4,4,4,0.1,0.2 " Other Renewables1","-","-","-","-","-","-","-","-","-","-",2,2,2,2,2,2,2,2,2,115,113,0.1,4.5

242

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Arizona" Arizona" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",14906,14910,14973,15034,15098,15222,15147,15164,15084,15091,15140,15284,15699,16193,16141,18860,19566,19551,19717,20127,20115,98.9,76.2 " Coal",5116,5070,5070,5108,5119,5159,5201,5256,5286,5311,5336,5336,5336,5336,5336,5362,5762,5750,5750,6159,6165,34.9,23.4 " Petroleum",78,78,78,100,100,95,184,248,248,240,244,243,263,191,108,108,86,89,89,89,89,1.6,0.3 " Natural Gas",3306,3236,3236,3236,3236,3273,3126,2989,2924,2919,2939,3080,3444,3908,3955,6566,6897,6891,6987,6987,6969,19.2,26.4

243

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Nebraska" Nebraska" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",21630677,22971934,22387247,22724286,21945525,25279277,27322697,28388030,28720209,29980967,29045739,30411669,31550226,30367879,31944127,31391643,31599046,32403289,32355676,33776062,36242921,99.8,98.9 " Coal",12658464,13562815,12402148,14739783,14002015,16079519,16040775,17209080,18335965,17794136,18424799,20193542,19899803,20907970,20414960,20772590,20632855,19611849,21479723,23307746,23214616,63.3,63.4 " Petroleum",12981,13459,9482,19035,18201,26679,19973,31059,41892,28807,53715,25154,18410,47971,21004,30026,18914,35552,34655,22869,30849,0.2,0.1

244

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Iowa" Iowa" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",7952,8090,8092,8074,8217,8237,8161,8238,8368,8435,8508,8352,8407,9093,9895,10090,9562,10669,11274,11479,11282,93.5,77.3 " Coal",5860,5912,5909,5818,5975,5995,5807,5573,5717,5702,5920,5668,5620,5666,5741,5705,5666,6535,6528,6529,6389,65.1,43.8 " Petroleum",659,723,714,746,755,755,861,872,877,932,1001,1012,980,912,908,936,935,930,924,921,915,11,6.3 " Natural Gas",779,816,829,870,847,825,835,913,906,938,932,916,1007,1710,2381,2376,2370,2401,2394,2345,2296,10.2,15.7 " Nuclear",530,515,515,515,515,528,520,535,520,520,520,520,566,562,563,581,"-","-","-","-","-",5.7,"-"

245

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

South Carolina" South Carolina" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",69259815,69837984,71478648,75588386,74193685,78439814,76325556,78374450,84396897,87347364,90421081,86734778,93689257,91544429,94406828,99104373,95872763,99997011,97921204,97336653,100610887,96.9,96.6 " Coal",22874805,23165807,23013743,26532193,26993543,25801600,30307236,31042658,32377814,35246389,38664405,36302690,36490769,37065509,38516633,39352428,39140908,41270230,41184319,34146526,37340392,41.4,35.9 " Petroleum",71997,83385,68375,95193,108250,129854,125657,188326,331357,300739,265931,225008,205664,289474,690071,484181,135522,174663,160102,490911,178378,0.3,0.2

246

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Mexico" Mexico" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",5042,5045,5062,5062,5078,5078,5077,5183,5294,5299,5250,5250,5463,5398,5393,5692,6223,6324,6324,6344,6345,93.8,78 " Coal",3899,3901,3901,3901,3901,3901,3901,3901,3913,3942,3942,3942,3942,3942,3937,3957,3957,3957,3957,3977,3990,70.4,49.1 " Petroleum",24,24,24,24,24,44,24,23,15,"-","-","-",15,35,35,35,26,26,26,26,20,"-",0.2 " Natural Gas",1063,1063,1079,1079,1096,1076,1094,1200,1285,1275,1226,1226,1425,1339,1339,1619,2158,2259,2259,2259,2253,21.9,27.7

247

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Georgia" Georgia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",97565058,90809416,91779352,95737505,98752712,102015724,98729242,101780433,108716930,110536794,116176834,110564676,111855967,115755114,117918895,126444777,127367613,132831987,126031263,115074702,120425913,93.8,87.5 " Coal",67564750,59985395,58235454,63295811,64727519,65880095,63230856,66179551,69871150,74067633,79007166,73443695,77288328,77858022,79185166,86358096,85700960,89532913,84652246,68863420,72550375,63.8,52.7 " Petroleum",164987,107662,128485,237473,161235,218515,292018,200873,670924,662699,641415,275630,233940,278618,156672,189819,86798,82380,67971,64833,70781,0.5,0.1

248

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Mexico" Mexico" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",28491171,25064613,27707513,28364368,30018011,29431903,29364389,30568142,31428332,31654480,32855587,32210683,29926241,31770151,32242728,33561875,35411074,34033374,33844547,34245148,30848406,96.6,85.1 " Coal",25826928,22129312,25348413,25507029,26752349,26121447,26357179,27078660,27537426,28067704,29065954,28402187,26902880,28812844,29263899,29947248,29859008,27603647,27014233,29117308,25617789,85.4,70.7 " Petroleum",34081,32240,35614,35337,22929,23073,22452,21075,23020,40133,29529,30210,30710,47860,30321,32528,40634,42969,52012,44599,49394,0.1,0.1

249

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

United States" United States" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",2808151009,2825022865,2797219151,2882524766,2910712079,2994528592,3077442152,3122523144,3212170791,3173673550,3015383376,2629945673,2549457170,2462280615,2505231152,2474845558,2483655548,2504130899,2475366697,2372775997,2471632103,79.3,59.9 " Coal",1559605707,1551166838,1575895394,1639151186,1635492971,1652914466,1737453477,1787806344,1807479829,1767679446,1696619307,1560145542,1514669950,1500281112,1513640806,1484855188,1471421060,1490984698,1466395192,1322092036,1378028414,44.6,33.4 " Petroleum",117016961,111462979,88916308,99538857,91038583,60844256,67346095,77752652,110157895,86929098,72179917,78907846,59124871,69930457,73693695,69722196,40902849,40719414,28123785,25216814,26064909,1.9,0.6

250

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Oklahoma" Oklahoma" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",12769,12848,12881,12859,12898,12928,13091,12931,12622,12861,13438,13436,13387,13463,13550,13992,14648,14495,15913,16187,16015,94.6,76.2 " Coal",4850,4865,4874,4874,4868,4831,4848,4848,4837,4808,4856,4856,4896,4941,4949,4964,4981,4975,4912,4940,4940,34.2,23.5 " Petroleum",58,58,58,58,58,58,64,62,61,61,61,60,60,62,68,68,72,68,69,69,67,0.4,0.3 " Natural Gas",6858,6870,6888,6866,6885,6952,7007,6934,6634,6887,7411,7410,7314,7340,7427,7899,8364,8221,9701,9842,9669,52.2,46 " Other Gases1","-",52,52,52,52,52,52,52,55,63,57,57,61,61,58,"-","-","-","-","-","-",0.4,"-"

251

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Michigan" Michigan" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",22315,22275,22374,22412,22413,21981,21985,21909,21943,22374,22752,22831,23279,23345,23314,23029,22734,21894,21885,21759,21639,88.3,72.5 " Coal",11931,11960,11976,11929,11928,11794,11793,11796,11840,11573,11636,11638,11627,11636,11623,11633,11534,11533,11543,11431,11218,45.1,37.6 " Petroleum",3460,3171,3184,3235,3235,2618,2620,2617,2632,2634,1831,1860,1654,1685,1649,1647,1397,616,610,612,568,7.1,1.9 " Natural Gas",702,727,798,800,800,1434,1436,1435,1439,2131,3244,3302,3958,3964,3982,3669,3695,4461,4447,4446,4618,12.6,15.5

252

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Vermont" Vermont" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",1065,1091,1094,1094,1093,1090,1092,1094,774,782,777,262,261,260,251,258,259,258,259,257,260,79,23 " Petroleum",117,117,120,120,120,118,119,119,117,117,112,111,107,107,101,100,101,101,101,100,100,11.4,8.9 " Nuclear",496,496,496,496,496,496,496,496,500,506,506,"-","-","-","-","-","-","-","-","-","-",51.4,"-" " Hydroelectric",404,430,430,430,430,426,427,423,103,107,106,99,102,96,93,100,101,99,100,100,103,10.8,9.1

253

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Wyoming" Wyoming" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",5809,5826,5847,5869,5874,5970,5966,6044,6018,6011,6048,6052,6122,6088,6086,6241,6137,6142,6450,6713,6931,97.1,86.8 " Coal",5525,5545,5545,5567,5567,5662,5662,5737,5710,5709,5710,5710,5692,5692,5692,5817,5747,5747,5832,5829,5935,91.6,74.3 " Petroleum",15,15,15,15,15,15,10,10,10,"-","-",5,5,5,5,"-","-",5,5,5,5,"-",0.1 " Natural Gas","-","-","-","-","-","-","-","-","-","-",34,34,119,85,80,113,79,79,79,79,79,0.5,1

254

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Missouri" Missouri" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",59010858,60120689,56627107,53202268,61519090,65400254,67827241,71073239,74894188,73504882,76283550,78990878,79796801,86102107,86419717,90159045,91118304,89925724,89178555,86704766,90176805,99.6,97.7 " Coal",48501751,47907503,46829678,40688696,48592766,53582211,57176084,59903073,62488551,61249846,62624807,65445161,67147996,73904272,74711159,77123580,77113165,74745712,73246599,71401581,74829029,81.8,81.1 " Petroleum",89342,118645,80522,634432,730820,682321,95980,125449,309734,280945,247622,637504,528353,155968,195098,168258,59958,59611,56620,87081,124866,0.3,0.1

255

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

California" California" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",43681,43599,43763,44313,43297,43302,43934,43709,30663,24323,24319,24405,24609,23223,23867,25248,26346,26334,26467,28021,28689,46.5,42.6 " Petroleum",2800,2473,1759,1553,1553,1692,1692,1072,737,526,526,524,296,297,297,297,245,226,222,204,174,1,0.3 " Natural Gas",21815,22074,22810,23285,22208,22040,22365,23193,10581,5671,5670,5733,5954,5042,5567,6850,7917,8188,8134,9629,10333,10.8,15.3 " Nuclear",4746,4746,4310,4310,4310,4310,4746,4310,4310,4310,4310,4324,4324,4324,4324,4324,4390,4390,4390,4390,4390,8.2,6.5

256

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

North Carolina" North Carolina" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",79845217,83520063,83007307,88753614,91454784,96109819,102786590,107371092,113112235,109882388,114433191,109807278,115597653,118433112,118328694,121674733,117797331,123215621,118778090,112961309,121251138,93.6,94.2 " Coal",46631040,46762330,54011457,59383147,53234497,55698342,64097781,70181392,69000633,68569499,71719489,68775284,71223313,70630278,71956852,74915235,72311023,76611703,72625233,62765545,69274374,58.7,53.8 " Petroleum",186899,174136,147134,165175,199418,234263,259252,211974,285902,284400,468482,412765,376170,459947,250402,231141,219114,236042,232446,232119,245987,0.4,0.2

257

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Mississippi" Mississippi" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",22923971,23305127,20487946,23234028,26222313,26395165,28838302,31227619,31991676,32212133,33896003,47550273,35099283,31358938,32838145,30619168,34158706,34426533,33796221,34759024,40841436,90.1,75 " Coal",9445584,8750253,7796112,8819755,8889624,9259980,12010196,12500586,11747963,13037100,13877065,19196065,12483658,13742273,14274786,13389906,14907777,14422788,14033627,9610808,10309709,36.9,18.9 " Petroleum",705474,370130,371568,3545055,1106209,23738,1173503,2633109,5417924,3141934,2970676,5120602,26357,1620395,2763630,1432077,395330,397080,71597,12475,76832,7.9,0.1

258

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Kansas" Kansas" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",9578,9609,9693,9706,9715,9675,9694,9786,9915,10020,10086,10223,10244,10731,10705,10734,10829,10944,11246,11733,11732,99.5,93.5 " Coal",5064,5091,5149,5189,5220,5244,5256,5364,5407,5325,5295,5295,5310,5265,5222,5250,5203,5208,5190,5180,5179,52.3,41.3 " Petroleum",622,602,613,611,613,579,578,510,494,520,522,652,546,564,587,583,565,569,564,564,550,5.2,4.4 " Natural Gas",2755,2784,2772,2772,2722,2685,2697,2749,2850,3005,3099,3106,3219,3735,3729,3734,3793,3900,4232,4580,4546,30.6,36.2

259

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Carolina" Carolina" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",20190,20131,20148,20182,19767,20597,20923,21054,21020,21182,22015,23478,23652,23726,23671,23822,24553,25500,25558,25529,25553,89.9,92.3 " Coal",12500,12500,12500,12503,12438,12440,12440,12440,12440,12440,12440,12440,12440,12440,12495,12487,12439,12394,12411,12294,12271,50.8,44.3 " Petroleum",760,773,773,804,804,1676,776,791,794,791,791,790,836,836,541,540,509,510,507,509,524,3.2,1.9 " Natural Gas",270,257,274,286,286,314,1514,1511,1511,1676,2509,3931,4010,4010,4035,4200,4975,5597,5660,5749,5773,10.2,20.9

260

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Missouri" Missouri" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",15180,15308,15385,15433,15488,15724,15978,16212,16282,16755,17180,17726,18409,18587,18606,18970,19675,19570,19621,19600,20360,99.4,93.7 " Coal",10678,10722,10724,10738,10754,10540,10557,10920,10943,10889,11032,11032,11053,11172,11159,11172,11199,11165,11146,11137,11976,63.8,55.1 " Petroleum",1498,1533,1546,1569,1617,1710,1730,1200,1181,1181,1198,1616,1236,1259,1243,1241,1265,1274,1267,1257,1197,6.9,5.5 " Natural Gas",818,817,878,891,892,1240,1444,1839,1815,2359,2607,2736,3778,3806,3853,4158,4809,4728,4790,4790,4771,15.1,21.9

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261

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Virginia" Virginia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",13661,13652,13772,14054,13763,14342,14806,15291,15314,15311,15606,15761,15818,17128,17567,18091,18166,18376,18828,19135,19434,80.4,80.6 " Coal",4225,4210,4215,4217,4217,5451,5099,5099,5099,5099,4796,4784,4789,4468,4468,4586,4586,4605,4587,4587,4594,24.7,19.1 " Petroleum",2753,2753,2753,2784,2689,1374,2192,2192,2213,2213,2175,2180,2083,2081,2098,2031,2027,2041,2041,2050,2048,11.2,8.5 " Natural Gas",192,198,377,595,400,995,994,1524,1524,1524,2083,2248,2097,3714,4101,4395,4395,4429,4897,5076,5122,10.7,21.2

262

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Illinois" Illinois" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",32602,32643,32636,32769,32952,33139,33164,33549,30367,16992,17495,4420,4151,3007,2994,3987,4742,4642,4691,4830,4800,48.1,10.9 " Coal",14912,14916,14947,15063,15090,14916,14931,15339,14250,5543,5473,2862,2862,1866,1859,1844,1844,1767,1833,1998,1993,15.1,4.5 " Petroleum",4480,4207,3928,2848,2448,2645,2648,2671,1569,989,867,700,406,368,401,399,399,377,381,372,372,2.4,0.8 " Natural Gas",591,901,1143,2236,2792,2963,2963,2917,4006,732,1229,846,871,761,722,1729,2485,2483,2462,2442,2417,3.4,5.5

263

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Arkansas" Arkansas" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",37053436,38365135,37369823,38049072,39547768,39526825,43677535,42789637,43198908,44130705,41486451,44728133,42873364,41636514,45055455,40545220,42068467,45522928,45880232,45423149,47108063,94.6,77.2 " Coal",19160989,19573925,20030355,18025615,19780738,21506397,24339185,22760970,23140020,24612079,24073573,24678344,22986650,23422401,25248810,22940659,24095405,25642175,25993257,24986333,26421729,54.9,43.3 " Petroleum",73856,64278,49640,65624,96439,53208,98250,66622,143834,141475,206991,846105,136134,263982,476133,162961,135291,76212,57158,80962,37140,0.5,0.1

264

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Montana" Montana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",4912,4828,4871,4871,4907,4943,4943,4943,4944,2997,3005,2232,2232,2274,2189,2186,2163,2179,2190,2232,2340,58.2,39.9 " Coal",2260,2260,2260,2260,2260,2260,2260,2294,2300,792,792,52,52,52,52,52,52,52,52,52,52,15.4,0.9 " Petroleum","-","-","-","-","-","-",5,5,5,5,5,"-","-","-","-",2,2,2,2,2,2,0.1,"*" " Natural Gas",120,120,120,120,120,120,120,53,52,53,58,58,58,97,98,100,100,100,100,102,186,1.1,3.2

265

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Minnesota" Minnesota" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",8834,8884,8880,8864,8951,8923,9180,9216,9089,8987,9067,10110,10329,10162,10179,10543,10458,10719,11432,11639,11547,88.4,78.5 " Coal",5757,5786,5771,5708,5742,5630,5779,5811,5657,5605,5613,5729,5726,5342,5260,5087,5083,5048,5077,4667,4630,54.7,31.5 " Petroleum",1004,1020,1026,1070,1065,1044,1112,1102,1056,1013,1019,1051,1020,669,699,711,718,728,746,759,748,9.9,5.1 " Natural Gas",307,305,305,302,353,454,457,464,461,459,475,1373,1637,2276,2336,2852,2719,2974,3528,4118,3929,4.6,26.7

266

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Indiana" Indiana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",97738497,98199986,97299582,99951149,103485409,105188892,105557018,110466291,112771878,114182827,119721399,114666355,112029989,112395725,114690471,117373699,117643504,116727908,115887993,103594020,107852560,93.7,86.2 " Coal",96012872,96526976,95745949,98776088,102043025,103774522,104413600,108911799,110696190,112336883,117619535,113135350,109441044,109839659,112899892,115413188,116284183,114974642,114321205,101000267,103204599,92,82.4 " Petroleum",673984,354297,287064,197848,209379,213051,320566,606905,821530,813232,845481,371623,470976,407648,393135,244554,134035,155132,165142,132655,137977,0.7,0.1

267

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Indiana" Indiana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",20588,20773,20821,20901,20710,20712,20681,20200,20337,20358,20554,20616,20802,21016,21126,22017,22021,22012,23598,23631,23008,85.9,83.2 " Coal",19556,19588,19562,19542,19192,18844,19045,18426,18709,18566,18734,18734,18530,18400,18426,18455,18428,18416,18401,18434,17774,78.3,64.3 " Petroleum",492,490,491,491,492,486,487,486,486,486,471,471,473,474,479,479,487,487,487,486,486,2,1.8 " Natural Gas",473,628,700,799,958,1087,1087,1087,1083,1090,1290,1353,1741,2082,2162,3024,3024,3020,4620,4616,4371,5.4,15.8

268

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Vermont" Vermont" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",4992578,5258829,4698045,4300537,5293892,4839820,5004219,5323432,4393537,4734555,5307016,4734002,2971224,626337,643426,673607,802680,701474,752800,711507,720853,84.2,10.9 " Petroleum",2543,5244,2581,4805,5764,13357,3428,9816,41265,22392,60660,31740,9406,22607,17800,10179,7371,7811,4266,2439,4509,1,0.1 " Natural Gas",65281,95341,63120,20558,5806,6593,97,93,827,18291,90790,11000,3275,2029,3224,2240,1875,1889,2655,4431,3783,1.4,0.1 " Nuclear",3616268,4108314,3734594,3372148,4315544,3858509,3798790,4266866,3357696,4059107,4548065,4171120,2367209,"-","-","-","-","-","-","-","-",72.2,"-"

269

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Tennessee" Tennessee" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",73902614,73931670,75396209,71614268,74853548,82277534,88647111,93293232,94142638,89682569,92311813,92937315,92570929,88678127,94371964,93942273,90960035,92474664,88262641,77432806,79816049,96.3,96.9 " Coal",50186951,46671234,49995747,59559596,52132070,57971909,55504189,58899058,55120297,55220519,60675314,58166973,58080553,53376149,56583558,57560600,59146323,58849255,55752210,40426487,42259569,63.3,51.3 " Petroleum",134397,160072,127282,234545,295961,252611,257586,192880,699233,502286,539784,379703,250325,379007,166943,201121,137187,155646,207233,182291,211654,0.6,0.3

270

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Oregon" Oregon" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",11236,11236,11237,10133,10166,10446,10526,10537,10449,10293,10337,10354,10348,10338,9555,9839,9971,10502,10491,10683,10846,91.7,76.1 " Coal",530,530,508,508,508,508,508,508,528,530,557,557,557,556,556,585,585,585,585,585,585,4.9,4.1 " Petroleum",109,109,109,109,106,103,103,103,"-","-","-","-","-","-","-","-","-","-","-","-","-","-","-" " Natural Gas",493,493,493,493,493,767,849,849,849,706,706,729,753,725,725,967,962,1354,1364,1341,1337,6.3,9.4

271

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Wisconsin" Wisconsin" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",45550958,47148818,46463756,47762861,49437481,51012390,51651435,48560127,52529065,54704370,55665471,54959426,54773666,56068698,56142364,55169108,51914755,44284480,45536712,41375366,45579970,93.3,70.9 " Coal",32144557,33489286,32740540,33558049,35282695,36863872,38144842,40819517,39785759,39899142,41057919,40185649,38583501,40579973,40981609,40506086,38866178,38719363,40452933,36238643,39185565,68.8,60.9 " Petroleum",47444,62162,54332,105173,171563,147493,124088,169863,200225,220944,191091,170443,162990,185625,494535,470219,591486,725019,647602,458848,478866,0.3,0.7

272

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Dakota" Dakota" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",26824491,27535034,28592323,28499824,29003713,28842021,30769712,29719764,30518976,31259830,31122917,30135733,31147221,31075012,29526814,31512768,30328375,30402807,30852784,31375152,31343796,99.4,90.2 " Coal",25092696,25750792,26864520,27048924,27099914,26336456,27529906,26314471,28176015,28610457,28952976,28769721,29518865,29298347,27938264,30133242,28761820,29041826,29551647,29486194,28349079,92.5,81.6 " Petroleum",20682,27636,28951,35795,47340,49107,88834,85698,47091,40300,47457,33850,35728,45648,36565,32480,39269,47332,40977,41475,35855,0.2,0.1

273

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Kentucky" Kentucky" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",73807286,75505081,77351259,84997718,84097034,86161578,88438224,91558046,86151121,81658150,81349922,83677982,80161524,80696982,82921402,85679912,86816479,85259079,86012151,90029962,97472144,87.5,99.2 " Coal",70500461,71713851,73476309,81722246,79897442,82539467,84659818,87875331,82412216,78544604,78598836,79381504,75308162,76367048,78574428,81188722,83068626,81877334,83197690,84037596,91053858,84.5,92.7 " Petroleum",118646,111558,83886,96727,154819,130598,135437,125625,127062,103755,118876,120418,135412,130280,93651,96557,79520,96733,106853,2016282,2284852,0.1,2.3

274

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Washington" Washington" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",24173,24243,24221,24259,24255,24277,24276,25273,25235,25189,23840,24055,24141,24216,23878,24065,24303,24511,26243,26322,26498,91.5,86.9 " Coal",1310,1360,1360,1390,1390,1340,1390,1390,1390,1340,"-","-","-","-","-","-","-","-","-","-","-","-","-" " Petroleum",173,173,173,173,88,88,87,62,62,4,4,133,40,39,39,39,39,3,3,3,3,"*","*" " Natural Gas",590,590,590,590,590,590,590,838,838,955,955,987,1146,1153,1184,1141,1138,1111,2768,2782,2849,3.7,9.3

275

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Jersey" Jersey" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",13730,13725,13824,13850,13500,13817,13645,13684,13390,12085,1244,1244,1244,1244,1005,1005,1005,558,477,466,460,7.5,2.5 " Coal",1652,1652,1629,1644,1634,1629,1629,1635,1658,1643,387,387,387,387,307,307,307,23,23,23,"-",2.3,"-" " Petroleum",3784,3480,3548,3212,2967,2890,2842,3915,3573,2373,286,286,286,286,232,232,232,69,54,43,49,1.7,0.3 " Natural Gas",4101,4410,4434,4761,4657,5056,4912,3872,3897,3807,171,171,171,171,66,66,66,66,"-","-","-",1,"-"

276

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Florida" Florida" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",123623905,130743964,133976775,140066943,141790885,147156684,145140217,147983676,169447167,166914264,169888638,170966177,182346629,188034719,193383664,196096285,200015227,200533885,196524348,195063261,206062185,88.6,89.9 " Coal",59073203,61122819,61631012,61889050,60770030,61864438,65782399,66034628,65470151,62680522,67143257,63090794,60997142,62094661,60013823,57559411,60413597,62633944,59731231,49942611,56074369,35,24.5 " Petroleum",25092296,30115618,28176184,34277523,33330039,21583186,22890565,25742149,40952580,36697343,34337080,39075398,32449236,35545897,35824155,36122039,22508349,19841026,11830552,9028865,8867397,17.9,3.9

277

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Carolina" Carolina" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",14908,16162,16314,16131,16691,16701,17173,17431,17627,17681,17716,18246,19101,19402,20406,20787,21019,21730,22152,22190,22172,94.8,92.5 " Coal",4818,4812,4812,4812,5352,5352,5471,5794,6007,6055,6054,6077,5925,5925,5968,5968,5984,6460,7060,7028,7048,32.4,29.4 " Petroleum",897,894,894,816,828,1192,1488,1192,1163,1163,957,955,955,970,684,689,682,682,699,663,664,5.1,2.8 " Natural Gas",301,396,396,328,336,345,345,585,576,576,779,1279,2150,2437,3712,3708,3923,3956,3919,3964,3966,4.2,16.5

278

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Rhode Island" Rhode Island" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",263,261,156,153,148,442,441,441,7,7,6,7,9,9,9,6,8,8,7,7,7,0.5,0.4 " Petroleum",262,161,155,152,146,20,20,20,5,5,5,6,7,7,7,5,7,7,7,7,7,0.4,0.4 " Natural Gas","-",99,"-","-","-",420,420,420,"-","-","-","-","-","-","-","-","-","-","-","-","-","-","-" " Hydroelectric",1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,"-","-","-",0.1,"-"

279

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Tennessee" Tennessee" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",16996,16269,16294,16224,16482,16144,17253,17361,17546,17253,17893,18600,19137,19235,19239,19120,19768,19977,20456,20418,20968,92,97.9 " Coal",9289,8702,8683,8691,8615,8615,8615,8604,8604,8618,8618,8618,8602,8609,8623,8618,8585,8599,8624,8589,8589,44.3,40.1 " Petroleum",1152,1100,1080,1080,1982,1096,1096,1135,1252,784,800,836,56,56,56,58,58,58,58,58,58,4.1,0.3 " Natural Gas",516,480,488,488,"-",472,472,514,571,732,1344,1960,3116,3128,3137,3032,3659,3632,4082,4099,4639,6.9,21.7

280

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Georgia" Georgia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",20731,20752,21399,21504,22039,22290,22782,23147,23390,23329,24860,24099,25821,24804,25404,26538,26542,26432,26462,26558,26639,89.6,72.7 " Coal",12952,12972,13104,13115,13164,12551,13234,13222,13540,13095,13470,13503,13498,13331,13215,13192,13192,13192,13129,13084,13103,48.5,35.8 " Petroleum",1488,1493,1635,1351,1341,1231,1228,1228,1172,1145,1145,1145,1145,1055,991,991,991,973,991,991,991,4.1,2.7 " Natural Gas",96,103,103,362,841,1274,1276,1281,1273,1564,2647,1974,3386,2827,3470,4618,4609,4577,4577,4652,4646,9.5,12.7

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281

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

York" York" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",31224,31349,31108,32731,32824,32147,30060,29985,29585,17679,15806,11572,11675,11902,11386,11927,12046,12056,11784,11871,11032,44.4,28 " Coal",3887,3897,3897,3879,3879,3870,3891,3880,3891,668,668,302,302,302,297,297,297,297,45,45,"-",1.9,"-" " Petroleum",12349,9869,8992,8885,7684,7637,11500,12759,12530,4991,5035,3638,3638,3688,2642,2450,2468,2465,2467,2465,1607,14.1,4.1 " Natural Gas",5065,7634,8304,7895,9194,8469,4718,3249,3131,2600,2227,2682,2783,2908,3894,4628,4628,4644,4623,4629,4619,6.3,11.7

282

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Massachusetts" Massachusetts" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",9910,9771,9494,9461,9287,9288,9365,9442,3385,2214,996,993,1090,981,981,983,837,827,829,930,937,8.1,6.8 " Coal",1723,1692,1684,1679,1675,1707,1730,1737,328,146,145,145,145,145,145,144,"-","-","-","-","-",1.2,"-" " Petroleum",5216,5070,4913,5041,4132,4058,4030,4094,787,547,475,474,771,663,661,661,659,648,624,624,528,3.8,3.9 " Natural Gas",289,330,378,219,953,993,1082,1086,333,302,330,329,130,130,131,131,131,131,157,257,353,2.7,2.6

283

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Alabama" Alabama" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",20023,19902,19930,19972,19878,20463,20692,20840,21292,21462,22366,22532,23429,23007,23186,23252,23218,23182,23144,23285,23642,95,72.9 " Coal",11777,11589,11599,11579,11494,11669,11515,11286,11349,11349,11301,11362,11246,11217,11238,11500,11465,11452,11414,11401,11356,48,35 " Petroleum",65,18,18,18,388,18,20,16,16,30,34,34,34,34,34,34,34,34,34,34,34,0.1,0.1 " Natural Gas",400,530,544,586,202,987,1437,1706,1971,2076,3041,3157,4182,3550,3627,3471,3440,3440,3440,3593,3937,12.9,12.1

284

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Ohio" Ohio" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",26996,27540,27130,27186,27192,27365,27278,26630,26768,27083,26302,27081,27885,27694,27684,19312,20147,20012,20340,20356,20179,92.3,61 " Coal",23086,23317,23060,23043,23058,23123,23033,22415,22456,22626,21675,21675,21599,21258,21366,16272,16296,16204,15909,15932,15733,76.1,47.6 " Petroleum",1151,1148,907,907,907,853,856,805,824,891,1031,1381,1000,1017,1008,588,588,596,575,575,577,3.6,1.7 " Natural Gas",501,817,902,980,976,1140,1140,1154,1232,1271,1300,1661,2921,3056,3074,2346,3156,3105,3749,3741,3760,4.6,11.4

285

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Louisiana" Louisiana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",16751,16795,16699,16885,16873,17019,17150,17079,17014,16339,14317,14165,14233,14090,14176,15137,15176,14756,15755,15615,16471,67.8,61.6 " Coal",3343,3343,3343,3343,3343,2843,3453,3453,3448,3453,1723,1723,1723,1723,1723,1723,1723,1739,1739,1739,1674,8.2,6.3 " Petroleum",17,17,228,212,231,35,35,16,16,11,16,20,16,16,26,239,239,240,240,240,775,0.1,2.9 " Natural Gas",11380,11424,11122,11324,11293,12130,11651,11599,11539,10864,10566,10350,10423,10284,10372,11051,11095,10650,11622,11494,11880,50,44.4

286

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Florida" Florida" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",32714,32708,33411,34814,35487,35857,36898,36727,36472,36536,37264,38240,40313,41996,42619,45196,45184,47224,47222,50781,50853,89.7,86 " Coal",9971,10001,10034,10030,10037,10069,10763,10823,10676,10770,10783,10783,11301,10223,9653,9634,9564,9528,9499,9495,9210,26,15.6 " Petroleum",11107,11117,11590,11598,14724,13478,13653,13493,12222,12153,12431,12552,10650,10063,10715,10611,10593,10586,12043,11549,10980,29.9,18.6 " Natural Gas",7775,7712,7909,9313,6857,8447,8560,8485,9655,9665,10102,10955,14401,17751,18290,20990,21065,23148,21698,25731,26424,24.3,44.7

287

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Arizona" Arizona" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",62288980,66767347,70108979,68025039,71203728,68966538,70877043,78060498,81299241,83095924,88149792,85807868,81710063,80348246,81351521,82914964,84355976,88825573,94452931,89640192,91232664,99.1,81.6 " Coal",31636037,32306088,34602347,37020817,38072165,31710476,30780575,34219281,36225373,37994159,40662627,39731623,37957468,37739559,39419177,39750729,40056468,40911234,43505012,39464060,43347748,45.7,38.8 " Petroleum",116407,88935,72838,59875,128437,63610,65097,60927,61227,46287,189396,311787,51061,46706,39414,41127,71761,46137,48324,61381,63439,0.2,0.1

288

Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Throu  

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

Hawaii" Hawaii" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",7996096,7333192,6861255,6083815,6055087,6190584,6420195,6212643,6301169,6452068,6534692,6383088,7513051,6493205,6982469,6915159,7040473,6928397,6700636,6509550,6416068,61.7,59.2 " Petroleum",7967354,7312791,6851432,6070063,6036282,6174627,6402329,6193852,6287107,6429429,6516929,6362846,7502913,6489565,6971259,6904293,7015977,6913231,6682593,6262182,6178666,61.5,57 " Hydroelectric",22743,20401,9823,13752,18805,15957,17866,18791,13750,18844,15114,18132,8533,2078,9724,9169,23656,14729,17872,28608,16719,0.1,0.2

289

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

United States" United States" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",690465,693016,695059,699971,702229,706111,709942,711889,686692,639324,604319,549920,561074,547249,550550,556235,567523,571200,584908,596769,602076,74.4,57.9 " Coal",299781,299444,300385,300634,300941,300569,302420,302866,299739,277780,260990,244451,244056,236473,235976,229705,230644,231289,231857,234397,235707,32.2,22.7 " Petroleum",76390,72393,71266,69046,69549,64451,70421,69557,62704,49020,41032,38456,33876,32570,31415,30867,30419,29115,30657,30174,28972,5.1,2.8 " Natural Gas",121300,126837,128149,132427,133620,142295,139936,141713,130404,123192,123665,112841,127692,125612,131734,147752,157742,162756,173106,180571,184231,15.2,17.7

290

Sponsors of CIEEDAC: Environment Canada Natural Resources Canada, Canadian Industry Program for Energy Conservation, Aluminium Industry Association, Canadian Chemical Producers' Association, Canadian Electricity  

E-Print Network [OSTI]

. This includes the oil and gas extraction industries and the coal mining industry. To analyze changes in GHG; technology innovations; transparency of data availability; location of production facilities; international political dynamics; nuclear development initiatives; frontier exploration initiatives; Canada's Clean Air

291

Methodological and Practical Considerations for DevelopingMultiproject Baselines for Electric Power and Cement Industry Projects inCentral America  

SciTech Connect (OSTI)

The Lawrence Berkeley National Laboratory (Berkeley Lab) andthe Center for Sustainable Development in the Americas (CSDA) conductedtechnical studies and organized two training workshops to developcapacity in Central America for the evaluation of climate changeprojects. This paper describes the results of two baseline case studiesconducted for these workshops, one for the power sector and one for thecement industry, that were devised to illustrate certain approaches tobaseline setting. Multiproject baseline emission rates (BERs) for themain Guatemalan electricity grid were calculated from 2001 data. Inrecent years, the Guatemalan power sector has experienced rapid growth;thus, a sufficient number of new plants have been built to estimateviable BERs. We found that BERs for baseload plants offsetting additionalbaseload capacity ranged from 0.702 kgCO2/kWh (using a weighted averagestringency) to 0.507 kgCO2/kWh (using a 10th percentile stringency),while the baseline for plants offsetting load-followingcapacity is lowerat 0.567 kgCO2/kWh. For power displaced from existing load-followingplants, the rate is higher, 0.735 kgCO2/kWh, as a result of the age ofsome plants used for meeting peak loads and the infrequency of their use.The approved consolidated methodology for the Clean Development Mechanismyields a single rate of 0.753 kgCO2/kWh. Due to the relatively smallnumber of cement plants in the region and the regional nature of thecement market, all of Central America was chosen as the geographicboundary for setting cement industry BERs. Unfortunately, actualoperations and output data were unobtainable for most of the plants inthe region, and many data were estimated. Cement industry BERs rangedfrom 205 kgCO2 to 225 kgCO2 per metric ton of cement.

Murtishaw, Scott; Sathaye, Jayant; Galitsky, Christina; Dorion,Kristel

2004-09-02T23:59:59.000Z

292

A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings  

Science Journals Connector (OSTI)

Abstract This paper presents the current state of the art regarding work performed related to the electric energy consumption for Information and Communication Technologies (ICTs) and Miscellaneous Electric Loads (MELs), in office and commercial buildings. Techniques used for measuring the energy consumption of office plug loads, and efforts for saving energy by using this equipment more rationally and efficiently are identified and categorized. Popular methods and techniques for energy metering are discussed, together with efforts to classify and benchmark office equipment. Our study reveals that many issues are still open in this domain, including more accurate, diverse and meaningful energy audits for longer time periods, taking into account device profiles, occupant behavior and environmental context. Finally, there is a need for a global consensus on benchmarking and performance metrics, as well as a need for a coordinated worldwide activity for gathering, sharing, analyzing, visualizing and exposing all the silos of information relating to plug loads in offices and commercial buildings.

Andreas Kamilaris; Balaji Kalluri; Sekhar Kondepudi; Tham Kwok Wai

2014-01-01T23:59:59.000Z

293

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Utah" Utah" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",4805,4785,4802,4812,4816,4927,4926,4945,5077,5102,5111,5129,5573,5574,5754,6053,6212,6710,6499,6581,6648,97.9,88.7 " Coal",4316,4271,4271,4271,4273,4374,4374,4318,4448,4463,4464,4464,4461,4461,4645,4645,4645,4645,4645,4645,4677,85.5,62.4 " Petroleum",26,28,26,25,25,25,23,33,33,44,44,50,45,46,38,35,35,25,25,25,23,0.8,0.3 " Natural Gas",228,228,228,228,227,231,231,296,296,296,303,332,782,782,796,1098,1257,1755,1542,1624,1660,5.8,22.1 " Hydroelectric",213,236,251,253,257,261,262,263,265,265,265,251,252,252,252,253,253,253,253,253,253,5.1,3.4

294

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Dakota" Dakota" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",4525,4546,4476,4478,4488,4485,4207,4733,4656,4675,4678,4677,4659,4562,4673,4625,4636,4668,4691,4852,4912,99.2,79.4 " Coal",3876,3903,3856,3856,3867,3862,3585,4062,4068,4084,4107,4107,4084,4107,4105,4106,4106,4098,4098,4127,4131,87.1,66.8 " Petroleum",94,88,65,66,67,69,68,117,61,63,65,64,69,72,71,75,75,72,72,68,68,1.4,1.1 " Natural Gas",10,10,10,10,10,10,10,9,9,10,10,10,10,10,10,10,10,10,10,15,15,0.2,0.2 " Hydroelectric",545,545,545,545,545,545,545,545,518,518,497,497,497,371,485,432,443,486,486,508,508,10.5,8.2

295

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Nevada" Nevada" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",4944,5125,5119,5235,5478,5556,5643,5642,5642,5434,5434,5388,5384,5323,5389,5611,6771,6998,8741,8741,8713,80.9,76.3 " Coal",2692,2692,2692,2717,2717,2717,2807,2806,2806,2806,2806,2747,2658,2657,2657,2657,2657,2689,2689,2689,2655,41.8,23.2 " Petroleum",79,260,260,260,260,50,46,46,46,46,46,46,43,45,45,45,45,45,45,45,45,0.7,0.4 " Natural Gas",1142,1142,1136,1227,1455,1743,1743,1743,1743,1533,1533,1547,1636,1576,1642,1862,3023,3217,4964,4964,4970,22.8,43.5 " Hydroelectric",1031,1031,1031,1031,1046,1046,1046,1046,1046,1049,1049,1048,1048,1045,1045,1047,1047,1048,1043,1043,1043,15.6,9.1

296

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Colorado" Colorado" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",6633,6610,6642,6648,6675,6647,6794,6850,6937,7254,7269,7479,7603,7883,7954,7955,8034,8008,8142,8454,9114,86.6,66.2 " Coal",4945,4945,4955,4950,4954,4954,4961,4955,4963,4981,4981,4981,4891,4891,4891,4888,4899,4921,4925,4970,5661,59.3,41.1 " Petroleum",221,221,222,222,222,221,177,177,174,180,181,178,193,193,207,181,179,179,181,176,176,2.2,1.3 " Natural Gas",393,387,387,379,369,359,542,541,624,917,917,1142,1333,1612,1662,1684,1752,1704,1832,2105,2078,10.9,15.1 " Hydroelectric",542,524,546,566,598,582,582,615,614,614,614,600,600,601,601,610,609,610,610,610,606,7.3,4.4

297

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Arkansas" Arkansas" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",9641,9634,9639,9672,9674,9639,9639,9688,9618,9278,9330,9615,9551,9777,9772,10434,10669,11467,11459,11456,11488,96,71.9 " Coal",3817,3817,3817,3817,3817,3817,3817,3865,3817,3680,3680,3741,3757,3745,3745,3793,3846,3846,3861,3864,3865,37.9,24.2 " Petroleum",221,213,215,216,217,217,217,308,308,29,29,29,25,25,25,23,23,22,22,22,22,0.3,0.1 " Natural Gas",2620,2620,2620,2620,2620,2585,2585,2494,2494,2454,2504,2645,2578,2752,2750,3369,3561,4414,4390,4384,4411,25.8,27.6 " Nuclear",1694,1694,1694,1694,1694,1694,1694,1694,1694,1694,1695,1782,1776,1840,1837,1834,1824,1838,1839,1835,1835,17.4,11.5

298

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Mississippi" Mississippi" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",7016,7016,7032,7045,7114,7170,7177,7159,7156,6817,7057,7964,8888,9279,9015,8904,9407,9377,10093,10081,10858,78.3,69.2 " Coal",2244,2246,2227,2238,2228,2255,2255,2131,2136,2121,2208,2208,2225,2231,2220,2123,2108,2102,2115,2115,2086,24.5,13.3 " Petroleum",894,894,894,896,125,31,31,31,40,35,60,54,36,36,32,34,36,36,36,35,35,0.7,0.2 " Natural Gas",2736,2733,2768,2769,3619,3711,3712,3797,3776,3456,3579,4492,5396,5749,5493,5481,5997,5971,6683,6680,7486,39.7,47.7 " Nuclear",1142,1143,1143,1143,1143,1173,1179,1200,1204,1204,1210,1210,1231,1263,1270,1266,1266,1268,1259,1251,1251,13.4,8

299

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Dakota" Dakota" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",2708,2710,2744,2733,2965,2950,2954,2927,2923,2895,2812,2814,2854,2650,2618,2759,2889,2826,2911,3042,2994,100,82.6 " Coal",495,484,499,467,488,475,474,467,477,477,477,477,477,476,477,482,492,492,497,497,497,17,13.7 " Petroleum",298,296,293,293,291,291,297,276,276,278,297,296,238,237,228,221,229,223,227,226,225,10.6,6.2 " Natural Gas",93,110,132,153,366,363,363,363,363,333,360,360,459,385,385,553,649,645,722,722,676,12.8,18.7 " Hydroelectric",1821,1821,1821,1820,1820,1820,1820,1820,1806,1806,1678,1678,1678,1549,1526,1500,1516,1463,1463,1594,1594,59.7,44

300

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Idaho" Idaho" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",2282,2282,2357,2304,2500,2559,2553,2576,2576,2571,2585,2659,2690,2439,2394,2558,2558,2547,2686,3029,3035,85.7,76.1 " Petroleum",56,56,56,6,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,0.2,0.1 " Natural Gas","-","-","-","-",136,136,136,136,136,136,136,212,212,212,212,376,376,376,536,543,543,4.5,13.6 " Hydroelectric",2227,2226,2302,2299,2358,2418,2412,2435,2435,2429,2444,2441,2472,2221,2176,2176,2176,2166,2144,2481,2486,81,62.3 "Independent Power Producers and Combined Heat and Power",314,353,379,404,409,415,434,434,433,433,432,577,574,563,592,602,652,649,692,729,955,14.3,23.9

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301

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Alaska" Alaska" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",1542,1547,1672,1711,1737,1732,1734,1750,1721,1744,1794,1770,1740,1753,1722,1769,1736,1820,1847,1868,1889,85.1,91.4 " Coal",56,56,54,54,54,54,54,54,25,25,25,25,25,25,25,52,25,25,25,25,25,1.2,1.2 " Petroleum",494,498,500,539,570,572,569,575,585,593,610,527,522,529,517,526,527,581,601,604,618,28.9,29.9 " Natural Gas",756,756,766,767,762,754,759,759,752,752,762,819,796,803,785,785,785,814,818,818,825,36.2,39.9 " Hydroelectric",236,237,352,352,352,353,353,362,359,374,396,399,396,396,395,397,397,397,400,414,414,18.8,20.1

302

Table 4. Electric Power Industry Capability by Primary Energy Source, 1990 Throu  

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

Nebraska" Nebraska" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Electric Utilities",5452,5450,5453,5512,5518,5529,5632,5760,5811,5829,5939,6010,6052,6667,6722,7007,7056,6959,7011,7675,7647,99.7,97.3 " Coal",3094,3087,3066,3103,3112,3112,3111,3152,3169,3181,3181,3181,3196,3196,3196,3196,3196,3196,3196,3863,3863,53.4,49.2 " Petroleum",370,311,334,342,342,331,544,547,518,528,636,708,638,637,638,639,641,330,382,387,387,10.7,4.9 " Natural Gas",565,630,631,645,643,666,559,644,712,723,723,721,811,1317,1374,1589,1630,1889,1874,1864,1849,12.1,23.5 " Nuclear",1254,1254,1254,1254,1254,1254,1250,1250,1245,1234,1234,1234,1234,1233,1232,1238,1238,1240,1252,1252,1245,20.7,15.8

303

Impact of a 1,000-foot thermal mixing zone on the steam electric power industry  

SciTech Connect (OSTI)

Thermal discharge requirements for power plants using once-through cooling systems are based on state water quality standards for temperatures that must be met outside of designated mixing zones. This study evaluates the impact of limiting the extent of thermal mixing zones. This study evaluates the impact of limiting the extent of thermal mixing zones to no more than 1,000 feet from the discharge point. Data were collected from 79 steam electric plants. Of the plants currently using once-through cooling systems, 74% could not meet current thermal standards at the edge of a 1,000-foot mixing zone. Of this total, 68% would retrofit cooling towers, and 6% would retrofit diffusers. The estimated nationwide capital cost for retrofitting plants that could not meet current thermal standards at the edge of a 1,000-foot mixing zone is $21.4 billion. Conversion of a plant from once-through cooling to cooling towers or addition of diffusers would result in a lower energy output from that plant. For the affected plants, the total estimated replacement cost would be $370 to $590 million per year. Some power companies would have to construct new generating capacity to meet the increased energy demand. The estimated nationwide cost of this additional capacity would be $1.2 to $4.8 billion. In addition to the direct costs associated with compliance with a 1,000-foot mixing zone limit, other secondary environmental impacts would also occur. Generation of the additional power needed would increase carbon dioxide emissions by an estimated 8.3 million tons per year. In addition, conversion from once-through cooling systems to cooling towers at affected plants would result in increased evaporation of about 2.7 million gallons of water per minute nationwide.

Veil, J.A.

1994-04-01T23:59:59.000Z

304

ELECTRIC  

Office of Legacy Management (LM)

you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY...

305

Process Heating Assessment and Survey Tool  

Broader source: Energy.gov [DOE]

The Process Heating Assessment and Survey Tool (PHAST) introduces methods to improve thermal efficiency of heating equipment. This tool helps industrial users survey process heating equipment that consumes fuel, steam, or electricity, and identifies the most energy-intensive equipment. The tool can be used to perform a heat balance that identifies major areas of energy use under various operating conditions and test "what-if" scenarios for various options to reduce energy use.

306

Methodological and Practical Considerations for Developing Multiproject Baselines for Electric Power and Cement Industry Projects in Central America  

E-Print Network [OSTI]

INDE, opening electricity generation to private investment.private sector companies willing to invest immediately in electricityscale private investment. By 1990, 92% of electricity was

Murtishaw, Scott; Sathaye, Jayant; Galitsky, Christina; Dorion, Kristel

2008-01-01T23:59:59.000Z

307

Industrial hygiene walk-through survey report of the Goodyear Tire and Rubber Company, Houston Chemical Plant, Houston, Texas  

SciTech Connect (OSTI)

A walk-through survey was conducted at Goodyear Tire and Rubber Company, Houston, Texas in November, 1985. The purpose of the survey was to obtain information on production processes for styrene/butadiene rubber, styrene/butadiene latex and acrylonitrile/butadiene rubber, and to evaluate the potential for 1,3-butadiene exposure.

Fajen, J.M.; Ungers, L.J.

1986-04-01T23:59:59.000Z

308

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

309

Electric Industry Outlook  

Broader source: Energy.gov (indexed) [DOE]

Outlook Outlook Challenges and Opportunities that Impact EEI Members and Their Federal Customers Steve Kiesner Director National Customer Markets Federal Utility Partnership Working Group May 22, 2013 San Francisco, CA Agenda  Necessary infrastructure investments to address:  Reliability  Environmental and other policy requirements  And continue the development of a grid for the 21 st Century  Our move to natural gas and what it means to customers  How technology is changing our world and those of our customers  Potential Federal-Utility Partnerships with Electrification as a transportation fuel 2 Infrastructure Investments Richard McMahon Vice President, Finance and Energy Supply Commission lays out U.S. energy efficiency roadmap through 2030

310

Electric Power Industry  

Science Journals Connector (OSTI)

The first prototype of a floating...wind turbine was constructed in December 2007. A wind turbine with a capacity of 80 kW was installed on an offshore platform within 10.6 nautical miles of the south Italy coast...

Dr. Sergey M. Govorushko

2012-01-01T23:59:59.000Z

311

The Electricity Industry's Dilemma  

Science Journals Connector (OSTI)

...for new generation and transmission capaci-ty in many...McGraw-Hill's Data Resources, Inc...for example, a major transmission line carrying bulk power...approach to managing transmission loads is that you can...

MARK CRAWFORD

1985-07-19T23:59:59.000Z

312

ELECTRIC  

Office of Legacy Management (LM)

ELECTRIC ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A quantity of at lezst 5 grams would probably be sufficient for our purpose, and this was included in our 3@icntion for license to the Atonic Energy Coskqission.. This license has been approved, 2nd rre would Llp!Jreciate informztion as to how to ?r*oceed to obtain thit: m2teria.l.

313

36 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 35, NO. 1, JANUARY/FEBRUARY 1999 Multilevel Converters for Large Electric Drives  

E-Print Network [OSTI]

Converters for Large Electric Drives Leon M. Tolbert, Senior Member, IEEE, Fang Zheng Peng, Senior Member multilevel con- verters as an application for high-power and/or high-voltage electric motor drives all-electric drives because it uses several levels of dc voltage sources, which would be available

Tolbert, Leon M.

314

PhD Scholarships Electricity Research Centre, University College Dublin The Electricity Research Centre (ERC) is an industry-university research collaboration with research  

E-Print Network [OSTI]

of future integrated, smart and sustainable electrical energy systems. The challenges addressed include candidates for PhD scholarships under its Sustainable Electrical Energy Systems Cluster. The Sustainable the integration and optimisation of very high, variable renewable penetrations (40% energy and above

315

EIA - 2008 New Electric Power Forms  

Gasoline and Diesel Fuel Update (EIA)

New Electricity Survey Forms New Electricity Survey Forms What's happening with electric power forms? In 2008 EIA is consolidating 6 data collection forms into 2 forms. Fill out forms electronically (Available soon!) Not registered? Why is that a good thing? * For Electricity Generators: This reduces the number of forms to submit. (Re-registering is not required!) * For EIA and Taxpayers: This streamlines the collection process for better efficiency. * For Everyone: This enables us to provide additional information about the electric power industry. figure showing what electricity forms merge into the new forms Click for more information on the New EIA-860 Click for more information on the New EIA-923 Resources to help you with the changes Printable Forms & Instructions 923 860

316

Semiparametric Models with Functional Responses in a Model Assisted Survey Sampling Setting : Model Assisted Estimation of Electricity Consumption Curves  

Science Journals Connector (OSTI)

This work adopts a survey sampling point of view to estimate the mean curve of large databases of functional data. When storage capacities are limited, selecting, with survey techniques a small fraction of the ob...

Herv Cardot; Alain Dessertaine; Etienne Josserand

2010-01-01T23:59:59.000Z

317

Guidebook for Using the Tool BEST Cement: Benchmarking and Energy Savings Tool for the Cement Industry  

E-Print Network [OSTI]

Reducing Industrial Electricity Costs an Automotive CaseReducing Industrial Electricity Costs an Automotive CaseReducing Industrial Electricity Costs an Automotive Case

Galitsky, Christina

2009-01-01T23:59:59.000Z

318

Modelling of electricity cost risks and opportunities in the gold mining industry / Lodewyk Francois van der Zee.  

E-Print Network [OSTI]

??Carbon tax, increased reactive power charges, tariff increases and the Energy Conservation Scheme (ECS) are some of the worrying electricity cost risks faced by large (more)

Van der Zee, Lodewyk Francois

2014-01-01T23:59:59.000Z

319

Optimization of Surveys for Detection of Energized Structures to Eliminate Electrical hazards to the Public in New York City  

E-Print Network [OSTI]

There have been many reports of individuals and animals in New York City coming in contact with electrically energized structures caused by stray voltage. The electric utility, Consolidated Edison (Con Ed), has been working hard to drive down...

Wells, Elizabeth

2011-08-04T23:59:59.000Z

320

Industry Alliance Industry Alliance  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century October, 2010...

Note: This page contains sample records for the topic "industry surveys electric" 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

Energy conservation in the primary aluminum and chlor-alkali industries  

SciTech Connect (OSTI)

The primary aluminum and chlor-alkali industries together use nearly 13% of the electrical energy consumed by US industry. As part of its mission to promote energy conservation in basic US industries, the DOE surveys the present technological status of the major electrochemical industries and evaluates promising technological innovations that may lead to reduced energy requirements. This study provides technical and economic analyses in support of a government program of research and development in advanced electrolytic technology. This program is intended to supplement the development efforts directed toward energy savings by private industry. Sections II and III of this report cover aluminum and chlorine production processes only, since these two industries represent over 90% of the electrical energy requirements of all electrolytic industries in the United States. Section IV examines barriers to accelerated research and development by the electrolytic industries, and makes suggestions for government actions to overcome these barriers.

Not Available

1980-10-01T23:59:59.000Z

322

Carbon dioxide capture technology for the coal-powered electricity industry : a systematic prioritization of research needs  

E-Print Network [OSTI]

Coal is widely relied upon as a fuel for electric power generation, and pressure is increasing to limit emissions of the CO2 produced during its combustion because of concerns over climate change. In order to continue the ...

Esber, George Salem, III

2006-01-01T23:59:59.000Z

323

Industrial hygiene walk-through survey report of E. I. Dupont de Nemours and Company, Inc. , Chocolate Bayou Plant, Alvin, Texas  

SciTech Connect (OSTI)

A walkthrough survey of EI duPont deNemours and Company, Incorporated, Alvin, Texas was conducted in November, 1984. The purpose of the survey was to obtain information on the 1,3-butadiene monomer manufacturing process and the potential for exposure. The facility manufactured a crude product stream containing 1,3-butadiene as a coproduct of its ethylene process. The crude was refined to a 99.5% 1,3-butadiene product. The refining process occurred in a closed system, tightly maintained for economic, fire, and health-hazard reasons. The product was transferred by way of a pipeline to storage spheres for later transport off site. The facility used an open-loop cylinder (bomb) technique for quality control sampling. All pumps were equipped with single mechanical seals, which were in the process of being replaced by tandem seals. Since 1962, the facility had experienced process changes and three changes of ownership. Because of these changes, records from previous owners of industrial hygiene monitoring were not available. Job titles identified as having potential exposure were processors, wage employee supervisors, production engineers, and laboratory technicians. The author concludes that a closed-loop manual quality-control sampling system should be installed to reduce exposure from this source.

Fajen, J.M.

1985-05-01T23:59:59.000Z

324

The Industrial Electrification Program  

E-Print Network [OSTI]

EPRI's role as the research organization of the electric power industry, in coordination with potential user industries, is to 1) define the viability of candidate electrification technologies by monitoring the state-of-the-art and continuously...

Harry, I. L.

1982-01-01T23:59:59.000Z

325

Health costs associated with the mining, transport and combustion of coal in the steam-electric industry  

Science Journals Connector (OSTI)

... rarely takes into account factors other than the market value of the commodities1,2. The costs of such decisions to society in general are rarely considered. Some of these ... of such decisions to society in general are rarely considered. Some of these costs are environmental: for example, disposal of industrial waste has often been free. Others ...

L. A. Sagan

1974-07-12T23:59:59.000Z

326

Innovative Utility Pricing for Industry  

E-Print Network [OSTI]

INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

Ross, J. A.

327

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

E-Print Network [OSTI]

as costly and does not recover markedly, needs will only be wasteful of energy : this stems from a long period approximately 340 to 350 TWh. However, the French of low oil prices, as well as the still limited park of power stations (especially hydro-electric...-quarters of its energy mainly in the situation is least possible recourse to oil form of liquid hydro-carbons. National resources imports. On this basis, continuous recourse to were scarce -no oil, a little gas and coal, and electricity for new applications...

Bouchet, J.; Froehlich, R.

1983-01-01T23:59:59.000Z

328

Electric car Gasoline car  

E-Print Network [OSTI]

ENAC/ Electric car (Renault) Gasoline car (competitors) Gasoline car (Renault) Market shares of an electric vehicle? Electric car (Renault) Gasoline car (competitors) Gasoline car (Renault) Market shares preference survey with choice situation contexts involving gasoline cars (Renault and competitors

329

3rd World Congress on Industrial Process Tomography, Banff, Canada Non Iterative Inversion Method for Electrical Resistance,  

E-Print Network [OSTI]

Method for Electrical Resistance, Capacitance and Inductance Tomography for Two Phase Materials materials. For ERT, we assume as measured data the (dc) resistance matrix between electrodes in contact resistance tomography (ERT) is used to reconstruct the conductivity distribution inside a material. The ERT

Lionheart, Bill

330

Jay Apt, Paulina Jaramillo, and Stephen Rose Carnegie Mellon Electricity Industry Center (CEIC)'s RenewElec Project  

E-Print Network [OSTI]

the mix of energy sources in a way that is clean, reliable, affordable and sustainable · Creating Mellon Founda5on U.S. Department of Energy Electric Power Research Ins5tute Heinz plants. ­ Municipal solid waste-to-energy. ­ Landfill methane. · Geothermal: heated water from

McGaughey, Alan

331

Uranium industry annual 1998  

SciTech Connect (OSTI)

The Uranium Industry Annual 1998 (UIA 1998) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. It contains data for the period 1989 through 2008 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data provides a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Data on uranium raw materials activities for 1989 through 1998, including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment, are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2008, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, and uranium inventories, are shown in Chapter 2. The methodology used in the 1998 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. The Form EIA-858 ``Uranium Industry Annual Survey`` is shown in Appendix D. For the readers convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix E along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 24 figs., 56 tabs.

NONE

1999-04-22T23:59:59.000Z

332

Electric and hybrid electric vehicles: A technology assessment based on a two-stage Delphi study  

SciTech Connect (OSTI)

To address the uncertainty regarding future costs and operating attributes of electric and hybrid electric vehicles, a two stage, worldwide Delphi study was conducted. Expert opinions on vehicle attributes, current state of the technology, possible advancements, costs, and market penetration potential were sought for the years 2000, 2010, and 2020. Opinions related to such critical components as batteries, electric drive systems, and hybrid vehicle engines, as well as their respective technical and economic viabilities, were also obtained. This report contains descriptions of the survey methodology, analytical approach, and results of the analysis of survey data, together with a summary of other factors that will influence the degree of market success of electric and hybrid electric vehicle technologies. Responses by industry participants, the largest fraction among all the participating groups, are compared with the overall responses. An evaluation of changes between the two Delphi stages is also summarized. An analysis of battery replacement costs for various types is summarized, and variable operating costs for electric and hybrid vehicles are compared with those of conventional vehicles. A market penetration analysis is summarized, in which projected market shares from the survey are compared with predictions of shares on the basis of two market share projection models that use the cost and physical attributes provided by the survey. Finally, projections of market shares beyond the year 2020 are developed by use of constrained logit models of market shares, statistically fitted to the survey data.

Vyas, A.D.; Ng, H.K.; Santini, D.J.; Anderson, J.L.

1997-12-01T23:59:59.000Z

333

Impact on the steam electric power industry of deleting Section 316(a) of the Clean Water Act: Energy and environmental impacts  

SciTech Connect (OSTI)

Many power plants discharge large volumes of cooling water. In some cases, the temperature of the discharge exceeds state thermal requirements. Section 316(a) of the Clean Water Act (CWA) allows a thermal discharger to demonstrate that less stringent thermal effluent limitations would still protect aquatic life. About 32% of the total steam electric generating capacity in the United States operates under Section 316(a) variances. In 1991, the US Senate proposed legislation that would delete Section 316(a) from the CWA. This study, presented in two companion reports, examines how this legislation would affect the steam electric power industry. This report quantitatively and qualitatively evaluates the energy and environmental impacts of deleting the variance. No evidence exists that Section 316(a) variances have caused any widespread environmental problems. Conversion from once-through cooling to cooling towers would result in a loss of plant output of 14.7-23.7 billion kilowatt-hours. The cost to make up the lost energy is estimated at $12.8-$23.7 billion (in 1992 dollars). Conversion to cooling towers would increase emission of pollutants to the atmosphere and water loss through evaporation. The second report describes alternatives available to plants that currently operate under the variance and estimates the national cost of implementing such alternatives. Little justification has been found for removing the 316(a) variance from the CWA.

Veil, J.A.; VanKuiken, J.C.; Folga, S.; Gillette, J.L.

1993-01-01T23:59:59.000Z

334

Boost Process Heating Efficiency, Software Tools for Industry, Industrial Technologies Program (ITP) (Fact Sheet)  

SciTech Connect (OSTI)

This fact sheet describes how the Industrial Technologies Program Process Heating Assessment and Survey Tool (PHAST) can help industrial plants indentify opportunities to save energy.

Not Available

2008-12-01T23:59:59.000Z

335

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network [OSTI]

Gromer, C. New age of the electric car. Popular Mechanics.VEHICLES strongly favor electric cars, but on the other,electric vehicles, if an electric car was available to buy

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

336

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

E-Print Network [OSTI]

Gromer, C Newage of the electric car. Popular Mechanics.VEHICLES strongly favor electric cars, but on the other,electric vehicles, if an electric car wasavailable to buy

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

337

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network [OSTI]

16. Regional electric vehicles: rebate. high performanceCommunity electric vehicles: lower rebate. priced electric,luxury) * S m a l l Electric Vehicle T a x Rebate Subtract $

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

338

2014 Electricity Form Proposals  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

electricity data collection in 2014 via the following survey forms: Form EIA-63B, "Annual Photovoltaic CellModule Shipments Report" Form EIA-411, "Coordinated Bulk Power Supply...

339

electricity.pdf  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Electricity Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS) 1. Timely submission of this report is mandatory under Public Law 93-275, as amended. 2. This...

340

Industrial demand side management status report: Synopsis  

SciTech Connect (OSTI)

Industrial demand side management (DSM) programs, though not as developed or widely implemented as residential and commercial programs, hold the promise of significant energy savings-savings that will benefit industrial firms, utilities and the environment. This paper is a synopsis of a larger research report, Industrial Demand Side Management. A Status Report, prepared for the US Department of Energy. The report provides an overview of and rationale for DSM programs. Benefits and barriers are described, and data from the Manufacturing Energy Consumption Survey are used to estimate potential electricity savings from industrial energy efficiency measures. Overcoming difficulties to effective program implementation is worthwhile, since rough estimates indicate a substantial potential for electricity savings. The report categorizes types of DSM programs, presents several examples of each type, and explores elements of successful programs. Two in-depth case studies (of Boise Cascade and of Eli Lilly and Company) illustrate two types of effective DSM programs. Interviews with staff from state public utility commissions indicate the current thinking about the status and future of industrial DSM programs. Finally, the research report also includes a comprehensive bibliography, a description of technical assistance programs, and an example of a methodology for evaluating potential or actual savings from projects.

Hopkins, M.E.F.; Conger, R.L.; Foley, T.J.; Parker, J.W.; Placet, M.; Sandahl, L.J.; Spanner, G.E.; Woodruff, M.G.; Norland, D.

1995-08-01T23:59:59.000Z

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


341

Energy-Efficiency Improvement Opportunities for the Textile Industry  

E-Print Network [OSTI]

in electric motors 86 5.6.3.1998. United States Industrial Electric Motor Systems Marketto make sure that the electric motors installed in the ring

Hasanbeigi, Ali

2010-01-01T23:59:59.000Z

342

A study of recent changes in Southwest Power Pool and Electric Reliability Council of Texas and its impact on the U.S. wind industry  

Science Journals Connector (OSTI)

Abstract Due to the increased penetration of renewable energy resources, there has been a lot of activity in the regional transmission organizations such as development of new standards, protocol revisions, new study requirements, changes to modeling procedures etc., in the last five years with a special focus given to wind energy. The key objective of this paper is to identify the impacts and the immediate technological and market related improvements required by the wind industry as a result of such changes in Southwest Power Pool (SPP) and the Electric Reliability Council of Texas (ERCOT). The paper documents the most important activities by following the higher?priority committees, work groups and task forces in both companies along with some of the special projects or initiatives such as sub-synchronous control interaction study, primary frequency response, hub concept and other modeling improvements related to wind energy. The paper provides an analysis of the impact of each change resulting in technology upgrades to wind turbines, modeling improvements by turbine manufacturers and policy/market changes affecting wind farm developers. Finally the paper provides recommendations regarding the requirements and capabilities which the future wind farms and wind turbines need to possess.

Sandeep Nimmagadda; Atiqul Islam; Stephen B. Bayne; R.P. Walker; Lourdes Garcia Caballero; Albert Fisas Camanes

2014-01-01T23:59:59.000Z

343

EIA Electric Power Forms  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Forms Electric Power Forms EIA Electric Power Forms Listing of Publicly Available and Confidential Data EIA's statistical surveys encompass each significant electric supply and demand activity in the United States. Most of the electric power survey forms resulting data elements are published, but respondent confidentiality is required. The chart below shows the data elements for each survey form and how each data element is treated in regard to confidentiality. Data Categories Data collection forms EIA- 411 EIA- 826 EIA- 860 EIA- 860M EIA- 861 EIA- 923 Frame Information Utility identification and iocation -- -- -- -- X -- Plant identification and iocation -- -- -- X -- X Generation and fuel Latitude and longitude -- -- X -- -- --

344

Opportunities, Barriers and Actions for Industrial Demand Response in California  

E-Print Network [OSTI]

industrial demand response (DR) with energy efficiency (EE) to most effectively use electricity and natural gas

McKane, Aimee T.

2009-01-01T23:59:59.000Z

345

Energy Department Develops Tool with Industry to Help Utilities Strengthen  

Broader source: Energy.gov (indexed) [DOE]

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

346

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

347

Survey records largest power generation order level in 20 year history  

SciTech Connect (OSTI)

With the rapid changes that are underway in the electric power generation business around the world, we expect that the diesel and gas turbine industry should anticipate continued strength and growth in the power generation markets for the rest of the 199Os and into the early part of the next century. This 20th year of the survey shows a total output level of 30000 MW for gas turbine generators for the first time. For reciprocating engine generators, this year`s survey shows orders of nearly 5000 units and a total output of almost 10000 MW, which are also record highs for the survey. Turning to the marine auxiliary generating unit survey and the newly separated diesel-electric marine propulsion data, we see an excellent growth pattern as well. This article briefly discusses the results of the survey.

Wadman, B.

1996-10-01T23:59:59.000Z

348

Reinventing the Industrial Heartland: Supply Chain Sustainability and the New Automotive Industry  

E-Print Network [OSTI]

Reinventing the Industrial Heartland: Supply Chain Sustainability and the New Automotive Industry-Director, WI Electric Machines and Power Electronics Consortium, University of Wisconsin-Madison Challenge: Lee

Wisconsin at Madison, University of

349

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

E-Print Network [OSTI]

electric, $2000 (small vehicle) Zero Emissions Vehicle tax rebate.electric, 60 or miles of range, $4000 Zero Emissions Vehicle tax rebate.tax rebate on LEV). Page12, Hybrid electric vehicles: Both

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

350

The Gas/Electric Partnership  

E-Print Network [OSTI]

The electric and gas industries are each in the process of restructuring and "converging" toward one mission: providing energy. Use of natural gas in generating electric power and use of electricity in transporting natural gas will increase...

Schmeal, W. R.; Royall, D.; Wrenn, K. F. Jr.

351

EIA - Electric Power Data  

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

Survey-level Detail Data Files Survey-level Detail Data Files Electric power data are collected on survey instruments. Data collection is mandated by Congress to promote sound policymaking, efficient markets, and public understanding. The most widely used data are disseminated in reports, such as the Electric Power Monthly and the Electric Power Annual. Publicly available electric power data is available down to the plant level in the Electricity Data Browser and in detailed spreadsheets by survey below. Description Data availability State-level data (consolidated across forms) Contains electricity generation; fuel consumption; emissions; retail sales, revenue, number of customers, and retail prices; generating capacity; and financial data. 1990-2012 (monthly and annual) Electric power sales and revenue data - monthly (Form EIA-826)

352

Electricity Prices for Industry - EIA  

Gasoline and Diesel Fuel Update (EIA)

0.070 NA 0.081 0.097 NA France 0.035 0.037 0.045 0.050 0.050 0.051 0.056 0.060 NA Germany 0.044 0.049 0.065 0.077 0.084 0.094 0.109 NA NA Greece 0.043 0.046 0.056 0.063 0.067...

353

Load Management for Industry  

E-Print Network [OSTI]

In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

Konsevick, W. J., Jr.

1982-01-01T23:59:59.000Z

354

IEA-Electricity Access Database | Open Energy Information  

Open Energy Info (EERE)

IEA-Electricity Access Database IEA-Electricity Access Database Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IEA-Electricity Access Database Agency/Company /Organization: International Energy Agency (IEA) Topics: Co-benefits assessment, - Energy Access Resource Type: Dataset Website: www.iea.org/weo/electricity.asp Language: English IEA-Electricity Access Database Screenshot References: Electricity Access Database[1] "In a continuing effort to improve our understanding of the electrification process, we have updated, for the fifth time, the database on electrification rates that we first built for WEO-2002. The database shows detailed data on urban and rural electrification collected from industry, national surveys and international sources. Based on this updated analysis,

355

Electric Utility Energy Efficiency Programs | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

energy efficiency programs for industrial customers, insights from investor-owned utilities, and national trendsdevelopments among electric cooperatives. Electric Utility...

356

The Gas Industry  

Science Journals Connector (OSTI)

... the total output of towns' gas in Great Britain, distributes annually approximately as much energy as the whole of the electrical undertakings in the country. The industry has reason ... any actual thermal process, and the operations of the gas industry are not outside the ambit of the second law of thermodynamics, high though the efficiency of the carbonising process ...

J. S. G. THOMAS

1924-04-26T23:59:59.000Z

357

Industrial electrotechnology development  

Science Journals Connector (OSTI)

New and improved industrial technologies have a tremendous role in enhancing productivity, minimising waste, reducing overall energy consumption, and mitigating environmental impacts. The electric utility industry plays a major role in developing these new and improved technologies. This paper describes several major advances and their potential impacts.

Clark W. Gellings

1997-01-01T23:59:59.000Z

358

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Relationship of CBECS Coverage to EIA Supply Surveys Relationship of CBECS Coverage to EIA Supply Surveys The primary purpose of the CBECS is to collect accurate statistics of energy consumption by individual buildings. EIA also collects data on total energy supply (sales). For the information on sales totals, a different reporting system is used for each fuel and the boundaries between the different sectors (e.g., residential, commercial, industrial) are drawn differently for each fuel. Background EIA sales data on the different fuels are compiled in individual fuel reports. Annual electricity sales data are currently collected on Form EIA-861, "Annual Electric Utility Report," which is sent to all electric utilities in the United States. Supply data for natural gas are collected on Form EIA-176, "Annual Report of Natural and Supplemental Gas

359

Electric power monthly, July 1994  

SciTech Connect (OSTI)

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels. Data on quantity, quality, and cost of fossil fuels lag data on net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour by 1 month. This difference in reporting appears in the US, Census division, and State level tables. However, for purposes of comparison, plant-level data are presented for the earlier month.

Not Available

1994-07-01T23:59:59.000Z

360

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network [OSTI]

Evidence from Residential Electricity Demand, Review ofLester D. The Demand for Electricity: A Survey, The BellResidential Demand for Electricity under Inverted Block

Borenstein, Severin

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

Industrial Engineering-BS ,PhD option in Engineering  

E-Print Network [OSTI]

I Industrial Engineering- BS ,PhD option in Engineering Industrial & Management Engineering - BS MS Engineering, Civil Engineering, Electrical 8c Computer Engineering, Environmental Engineering, Industrial Industrial Technoloity - BS option in Technology Education Interdisciplinary Studies - BA; BS J. Japan

Dyer, Bill

362

National High Magnetic Field Laboratory: Museum of Electricity...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

General Electric, an enduring giant in the electric industry. Related Electricity & Magnetism Pages Interactive Java Tutorials: Alternating Current Interactive Java Tutorials:...

363

Electricity Merger Policy in the Shadow of Regulation  

E-Print Network [OSTI]

Caps to ?! #? #!? , The Electricity Journal, vol. 14, May,Analysis of the New Jersey Electricity Market New Jersey2005), Regulating the Electricity Supply Industry in

Gilbert, Richard J; Newberry, David M

2006-01-01T23:59:59.000Z

364

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

E-Print Network [OSTI]

United States Industrial Electric Motor Systems MarketOversized and Underloaded Electric Motor. Office of EnergyUnited States Industrial Electric Motor Systems Market

Masanet, Eric

2008-01-01T23:59:59.000Z

365

" Generation by Census Region, Industry Group, Selected Industries, Presence of"  

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

4. Total Inputs of Energy for Heat, Power, and Electricity" 4. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, Presence of" " General Technologies, and Industry-Specific Technologies for Selected" " Industries, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.3

366

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

Open Energy Info (EERE)

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

367

Energy Department Co-Hosts Workshops to Develop an Industry-Driven Vision of the Nations Future Electric Grid  

Broader source: Energy.gov [DOE]

The U.S. electric grid provides the foundation for Americas economic success. Our digital economy, our national security, and our day-to-day lives are highly dependent on reliable, safe, and affordable electricity. To take advantage of technological advances and to meet societys changing expectations and preferences, our nations grid must evolve, as well.

368

Genetic Basis for Beef Tenderness and Electrical Stimulation Interaction Electrical stimulation (ES) has been implemented in the beef industry since the late 1970s. It has been a valuable tool to speed the  

E-Print Network [OSTI]

Genetic Basis for Beef Tenderness and Electrical Stimulation Interaction Electrical stimulation (ES interaction (big effect for tough meat and minimal effect for tender meat) was a result of environmental of muscle to meat. However, recent data from the McGregor Genomics Project showed that there was a genetic

369

The Electric Motor and its Applications  

Science Journals Connector (OSTI)

... strides that have been made during the past six years in the industrial application of electric ...electricmotors ...

SILVANUS P. THOMPSON

1887-03-03T23:59:59.000Z

370

Percentage of Total Natural Gas Industrial Deliveries included...  

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

Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Download Series History Download...

371

INTERIM REPORT--INDEPENDENT VERIFICATION SURVEY OF SECTION 3, SURVEY UNITS 1, 4 AND 5 EXCAVATED SURFACES, WHITTAKER CORPORATION, REYNOLDS INDUSTRIAL PARK, TRANSFER, PENNSYLVANIA DCN: 5002-SR-04-0"  

SciTech Connect (OSTI)

At Pennsylvania Department of Environmental Protection's request, ORAU's IEAV program conducted verification surveys on the excavated surfaces of Section 3, SUs 1, 4, and 5 at the Whittaker site on March 13 and 14, 2013. The survey activities included visual inspections, gamma radiation surface scans, gamma activity measurements, and soil sampling activities. Verification activities also included the review and assessment of the licensee?s project documentation and methodologies. Surface scans identified four areas of elevated direct gamma radiation distinguishable from background; one area within SUs 1 and 4 and two areas within SU5. One area within SU5 was remediated by removing a golf ball size piece of slag while ORAU staff was onsite. With the exception of the golf ball size piece of slag within SU5, a review of the ESL Section 3 EXS data packages for SUs 1, 4, and 5 indicated that these locations of elevated gamma radiation were also identified by the ESL gamma scans and that ESL personnel performed additional investigations and soil sampling within these areas. The investigative results indicated that the areas met the release criteria.

ADAMS, WADE C

2013-04-18T23:59:59.000Z

372

EPRI's Industrial Energy Management Program  

E-Print Network [OSTI]

EPRI's INDUSTRIAL ENERGY MANAGEMENT PROGRAM ED MERGENS MANAGER EPRI's CHEMICALS & PETROLEUM OFFICE HOUSTON, TEXAS ABSTRACT The loss of American industry jobs to foreign competition is made worse by national concerns over fuels combustion... and other industrial activity effects on our environment. Energy efficiency programs and new electrical processes can playa major role in restoring the environment and in creating a stronger industrial sector in the national economy. Since 1984...

Mergens, E.; Niday, L.

373

" Census Region, Census Division, Industry Group, and Selected Industries, 1994"  

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

Quantity of Purchased Electricity and Steam by Type of Supplier," Quantity of Purchased Electricity and Steam by Type of Supplier," " Census Region, Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam" ,," (million kWh)",," (billion Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

374

Industrial energy use indices  

E-Print Network [OSTI]

and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. iv... This analysis uses electricity and natural gas energy consumption and area data of manufacturing plants available in the U.S. Department of Energys national Industrial Assessment Center (IAC) database. The data there come from Industrial Assessment Centers...

Hanegan, Andrew Aaron

2008-10-10T23:59:59.000Z

375

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

376

Industrial Engineering Industrial Advisory Board  

E-Print Network [OSTI]

Industrial Engineering Industrial Advisory Board (IAB) #12;PURPOSE: The Texas Tech University - Industrial Engineering Industrial Ad- visory Board (IAB) is an association of professionals with a com- mon goal - promoting and developing the Texas Tech Department of Industrial Engineering and its students

Gelfond, Michael

377

Electric Utility Sales and Revenue - EIA-826 detailed data file  

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

Form EIA-826 detailed data Form EIA-826 detailed data The Form EIA-826 "Monthly Electric Utility Sales and Revenue Report with State Distributions" collects retail sales of electricity and associated revenue, each month, from a statistically chosen sample of electric utilities in the United States. The respondents to the Form EIA-826 are chosen from the Form EIA-861, "Annual Electric Utility Report." Methodology is based on the "Model-Based Sampling, Inference and Imputation." In 2003, EIA revised the survey to separate the transportation sales and reassign the other activities to the commercial and industrial sectors as appropriate. The "other" sector activities included public street and highway lighting, sales to public authorities, sales to railroads and railways, interdepartmental sales, and agricultural irrigations.

378

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total 2012 Total Electric Industry- Average Retail Price (centskWh) (Data from...

379

Electricity and Gas  

Science Journals Connector (OSTI)

As in electricity, the downstream sector of the natural gas business has traditionally been regarded as a ... the two sub-industries: economies of scale, capital-intensiveness and the geographic specificity of as...

Julin Barqun

2013-01-01T23:59:59.000Z

380

Uranium industry annual 1996  

SciTech Connect (OSTI)

The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

NONE

1997-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

U.S. Energy Information Administration/Electric Power Monthly June 2012  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Monthly June 2012 Electric Power Monthly June 2012 150 Appendix C Technical Notes The Energy Information Administration (EIA) periodically reviews and revises how it collects, estimates, and reports data pertaining to the electric power industry. These Technical Notes describe current data quality efforts and measures as well as each active survey form contributing to the data published in the Electric Power Monthly (EPM). Data Quality The EPM is prepared by the Electric Power Division, Office of Electricity, Renewables & Uranium Statistics (ERUS), Energy Information Administration (EIA), U.S. Department of Energy. Quality statistics begin with the collection of the correct data. To assure this, ERUS performs routine reviews of the data collected and the

382

A survey of the technical and regulatory issues concerning unburned carbon on utility fly ash  

SciTech Connect (OSTI)

The phenomenon of unburned carbon on/in utility fly ash has become a major imminent problem for the electric utility industry. The deadlines set by the Clean Air Act Amendments of 1990 limiting nitrogen oxides emissions and the Environmental Protection Agency`s regulations implementing the statute are beginning to take effect. This survey discusses the technical and regulatory issues pertaining to the phenomenon and possible courses of action/solutions.

Sarkus, T.A.; Renninger, Scott [Dept. of Energy, Pittsburgh, PA (United States). Federal Energy Technology Center; Ruppel, T.C. [Burns and Roe Services Corp., Pittsburgh, PA (United States)

1998-12-31T23:59:59.000Z

383

Guardian Industries Corp | Open Energy Information  

Open Energy Info (EERE)

float glass and fabricated glass products. Applications of their products cover PV and Solar Thermal Electricity Generation (STEG). References: Guardian Industries Corp1 This...

384

Federal Utility Partnership Working Group Industry Commitment  

Broader source: Energy.gov [DOE]

Investor-owned electric utility industry members of the Edison Electric Institute pledge to assist Federal agencies in achieving energy-saving goals. These goals are set in the Energy Policy Act of...

385

Electricity 2011  

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

Electricity > Soliciting comments on EIA-111 Electricity > Soliciting comments on EIA-111 EIA announces the proposal of Form EIA-111, Quarterly Electricity Imports and Exports Report Released: August 15, 2011 Background On August 11, 2011, a Federal Register Notice was published soliciting comments for the new EIA-111 survey form. The EIA-111, Quarterly Electricity Imports and Exports Report will replace the OE-781R, Monthly Electricity Imports and Exports Report. The OE-781R has been suspended and will be terminated upon the approval of the EIA-111. The OE-781R administered from July 2010 through May 2011, proved complex and confusing for the repondents. As a result, the EIA-111 was developed to more effectively and efficiently collect more accurate and meaningful data. The Paperwork Reduction Act (PRA) of 1995 requires that each Federal agency obtains approval from the Office of Management and Budget (OMB) before undertaking to collect information from ten or more persons, or continuing a collection for which the OMB approval and the OMB control number are about to expire. The approval process, which is popularly known as the "OMB clearance process," is extensive. It requires two Federal Register notices and a detailed application ("supporting statement") to OMB. The first Federal Register Notice was published on August 11, 2011. EIA is prepared to address the comments submitted by each individual.

386

.Mr. C. Yayne Bickerstaff Manager, Corporate Industrial Hygiene  

Office of Legacy Management (LM)

Mr. C. Yayne Bickerstaff Mr. C. Yayne Bickerstaff Manager, Corporate Industrial Hygiene Westinghouse Electric Corporation East Pittsburgh Plant Forest Hills Pittsburgh, Pennsylvania 15230 Dear Mr. Bickerstaff: The Department of Energy (DOE), as part of its formerly Utilized Sites Remedial Action Program (FUSRAP). has reviewed information on the Westinghouse facility in Pittsburgh, Pennsylvania, to determine whether it contains residual radioactivity traceable to activities conducted on behalf of the Atomic Energy Commisslon (a predecessor to DOE). A radiological survey indicated that the radiation levels are equal to natural background. Therefore. no remedial action Is required, and DOE is eliminating this Uestinghouse facility from further consideration under FUSRAP.

387

Carbon Emissions: Chemicals Industry  

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

Chemicals Industry Chemicals Industry Carbon Emissions in the Chemicals Industry The Industry at a Glance, 1994 (SIC Code: 28) Total Energy-Related Emissions: 78.3 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 21.1% -- Nonfuel Emissions: 12.0 MMTC Total First Use of Energy: 5,328 trillion Btu -- Pct. of All Manufacturers: 24.6% Energy Sources Used As Feedstocks: 2,297 trillion Btu -- LPG: 1,365 trillion Btu -- Natural Gas: 674 trillion Btu Carbon Intensity: 14.70 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 78.3 Natural Gas 32.1

388

Electric Utilities and Electric Cooperatives (South Carolina) | Department  

Broader source: Energy.gov (indexed) [DOE]

Electric Utilities and Electric Cooperatives (South Carolina) Electric Utilities and Electric Cooperatives (South Carolina) Electric Utilities and Electric Cooperatives (South Carolina) < Back Eligibility Commercial Construction Industrial Installer/Contractor Investor-Owned Utility Municipal/Public Utility Rural Electric Cooperative Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State South Carolina Program Type Generating Facility Rate-Making Siting and Permitting Provider South Carolina Public Service Commission This legislation authorizes the Public Service Commission to promulgate regulations related to investor owned utilities in South Carolina, and addresses service areas, rates and charges, and operating procedures for

389

Potential Benefits from Improved Energy Efficiency of Key Electrical Products: The Case of India  

E-Print Network [OSTI]

Thus, reduced electricity consumption from higher efficiencyestimated the daily electricity consumption from a survey ofby total commercial electricity consumption. The price of

McNeil, Michael; Iyer, Maithili; Meyers, Stephen; Letschert, Virginie; McMahon, James E.

2005-01-01T23:59:59.000Z

390

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

391

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

E-Print Network [OSTI]

EV,then we expect 13.3 to 15.2% of all light-duty vehicle sales,EV marketpotential for smaller and shorter range velucles represented by our sampleis about 7%of annual, newhght duty vehicle sales.EV body styles" EVs ICEVs Total PAGE 66 THE HOUSEHOLD MA RKET FOR ELECTRIC VEHICLES percent mandatein the year 2003will dependon sales

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

392

A 3D electrical resistivity tomography survey to characterise the structure of a albeluvic tonguing horizon composed of distinct elementary pedological volumes  

Science Journals Connector (OSTI)

Abstract Water and gas transfer in porous media like soils are determined by their porous network, described by their structure. In soil, the horizon is usually considered to be elementary and homogeneous functioning system in the description of gas and water functioning. However, in some cases, a horizon is heterogeneous, and its structure is defined by the 3D arrangement of Elementary Pedological Volumes (EPVs). The horizon needs to be described in three dimensions to improve the characterisation of the structure and, consequently, the prediction of its hydraulic functioning. The aim of this study was to determine the feasibility of describing the 3D structure of a heterogeneous albeluvic tonguing soil horizon composed of a juxtaposition of silty white and clayey ochre EPVs, using 3D electrical resistivity tomography (ERT). Electrical measurements were compared with geostatistical analyses from soil photographs. We demonstrated that the resistivity of the white \\{EPVs\\} was greater than that of the ochre EPVs. In addition, the general soil structure and organisation of the soil horizon could be derived from the electrical resistivity data. We proposed a method to discretise the soil electrical resistivity into a binary system that corresponded to white and ochre volumes. Finally, a 3D representation of the soil structure was created that could be used to improve soil hydraulic models.

M. Sger; R. Gurin; A. Frison; H. Bourennane; G. Richard; I. Cousin

2014-01-01T23:59:59.000Z

393

ELECTRICAL ENGINEERING AT McGILL Bachelor of Engineering in Electrical Engineering  

E-Print Network [OSTI]

ELECTRICAL ENGINEERING AT McGILL Bachelor of Engineering in Electrical Engineering What is electrical engineering? Our society is powered by electricity and electrical engineering can be found at the core of the rapidly evolving high-tech industry. Electrical engineers design, build, test

Barthelat, Francois

394

Electric Currents Electric Current  

E-Print Network [OSTI]

coefficient of resistivity Electric Power: = = = Also, = . So, = = 2 = 2 Unit of Power(P): Watt (WChapter 18 Electric Currents #12;Electric Current: Flow of electric charge Current is flow of positive charge. In reality it's the electron moves in solids- Electron current. #12;Ohm's Law : Resistance

Yu, Jaehoon

395

The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets  

E-Print Network [OSTI]

its Impact on Wholesale Electricity Markets James Bushnellits Impact on Wholesale Electricity Markets James Bushnell *gas emissions from electricity and perhaps other industries.

Bushnell, Jim B

2007-01-01T23:59:59.000Z

396

Uranium Industry Annual, 1992  

SciTech Connect (OSTI)

The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

Not Available

1993-10-28T23:59:59.000Z

397

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

E-Print Network [OSTI]

Oversized and Underloaded Electric Motor. Office of EnergyOptimization Electric Motor System at a Corporate CampusUnited States Industrial Electric Motor Systems Market

Galitsky, Christina

2008-01-01T23:59:59.000Z

398

STATEMENT OF CONSIDERATIONS REQUEST BY GENERAL ELECTRIC COMPANY...  

Broader source: Energy.gov (indexed) [DOE]

21, 1992 through February 28, 1993. GE-CRD is technically competent with respect to electric drives and propulsion systems for electric vehicle and industrial drives. It is...

399

Moving Forward in Protecting the Nation's Electric Grid | Department...  

Energy Savers [EERE]

pilot with five electric sector companies to an industry-managed and funded public-private partnership. NERC's ES-ISAC currently has eight electricity subsector companies up...

400

Critical Electric Power Issues in Pennsylvania  

E-Print Network [OSTI]

Critical Electric Power Issues in Pennsylvania: Transmission, Distributed Generation and Continuing Services when the Grid Fails Produced by the Carnegie Mellon Electricity Industry Center for the Pa-268-3003, apt@cmu.edu. Executive Director of the Carnegie Mellon Electricity Industry Center at Carnegie Mellon

Note: This page contains sample records for the topic "industry surveys electric" 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

Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency  

Broader source: Energy.gov (indexed) [DOE]

Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency Incentives Ameren Illinois (Electric) - Custom, HVAC, and Motor Business Efficiency Incentives < Back Eligibility Commercial Industrial Multi-Family Residential Nonprofit Savings Category Other Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Sealing Your Home Ventilation Heat Pumps Heating Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate $600,000/year/facility. Incentives $1-$200,000: paid at 100% Incentives $200,000-$600,000: paid at 50% Custom: 50% of incremental cost Retro-Commissioning: $200,000/year/facility; $100,000/project Leak Survey: $10,000

402

BTU Accounting for Industry  

E-Print Network [OSTI]

convert utility bills to BTUs? All fuels can be measured in terms of BTU content. Natural gas has a million BTUs per thousand cubic feet; propane - 92,000 BTUs per gallon; fuel oil - 140,000 BTUs per gallon; electricity - 3,413 BTUs per KW hour... BTU ACCOUNTING FOR INDUSTRY Robert O. Redd-CPA Seidman & Seidman Grand Rapids, Michigan Today, as never before, American industry needs to identify and control their most criti cal resources. One of these is energy. In 1973 and again in 1976...

Redd, R. O.

1979-01-01T23:59:59.000Z

403

Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provide  

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

Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provider, 1990-2012" Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",386304,429152,232325,0,"NA",1047781 2012,"AL","Total Electric Industry",3491380,2318146,2100936,0,"NA",7910462 2012,"AR","Total Electric Industry",1664696,933567,971266,52,"NA",3569581 2012,"AZ","Total Electric Industry",3718357,2829551,813094,0,"NA",7361001 2012,"CA","Total Electric Industry",13821565,16327164,4925482,49095,"NA",35123306

404

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

405

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect (OSTI)

The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

Boyd, Brian K.

2010-08-01T23:59:59.000Z

406

Mineral Industry Surveys For information, contact  

E-Print Network [OSTI]

, miscellaneous silicon alloys, and silicon metal, excluding semiconductor and solar grades, except where noted. 3,000 Mexico 115 79 269,000 340 222 767,000 Trinidad and Tobago -- -- -- 37 22 58,200 Total 808 522 1,290,000 1,000 Mexico 85 42 228,000 164 82 449,

407

Geothermal Energy Growth Continues, Industry Survey Reports ...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

economic benefits, according to GEA. "These new projects will result in the infusion of roughly 15 billion in capital investment in the western states, and create 7,000...

408

CMI Industry Survey | Critical Materials Institute  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

in professional development or continuing education courses in these areas: Yes No Rare earth elements Yes No Other critical materials Yes No Converting rare earth ore to metal Yes...

409

Southeastern Electric - Electric Equipment Loan Program | Department of  

Broader source: Energy.gov (indexed) [DOE]

Southeastern Electric - Electric Equipment Loan Program Southeastern Electric - Electric Equipment Loan Program Southeastern Electric - Electric Equipment Loan Program < Back Eligibility Agricultural Commercial Industrial Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Maximum Rebate Heat Pumps/Electric Heat: up to $10,000 Weatherization/Insulation: $3,000 Program Info State South Dakota Program Type Utility Loan Program Rebate Amount Heat Pumps/Electric Heat: up to $10,000 Weatherization/Insulation loans: up to $3,000 Provider Southeastern Electric Cooperative Southeastern Electric Cooperative is a member-owned electric cooperative that serves customers in the southeastern part of South Dakota.

410

Guntersville Electric Board | Open Energy Information  

Open Energy Info (EERE)

Guntersville Electric Board Guntersville Electric Board Jump to: navigation, search Name Guntersville Electric Board Place Alabama Utility Id 7827 Utility Location Yes Ownership M NERC Location SERC NERC SERC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png GSA 1 Commercial GSA 2 Commercial GSA 3 Commercial Outdoor Lighting Commercial Residential Rate Residential SDE SGSC Industrial SDE SGSD Industrial SDE SMSB Industrial SDE SMSC Industrial SDE SMSD Commercial TDGSA Industrial TDMSA Industrial TOU GSB Industrial TOU GSD Industrial TOU MSB Industrial TOU MSC Industrial

411

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,," Census Region",,,,,,,"Census Division",,,,,"RSE" "SIC"," ",,,,,,,"Middle","East North","West North","South","East South","West South",,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","New England","Atlantic","Central","Central","Atlantic","Central","Central","Mountain","Pacific","Factors"

412

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

Office of Scientific and Technical Information (OSTI)

Electric Power Industry Climate Initiative (EPICI) Members Electric Power Industry Climate Initiative (EPICI) Members American Public Power Association American Public Power Association Logo The American Public Power Association (APPA) is the service organization for the nation's public power utilities. Edison Electric Institute Edison Electric Institute Logo Edison Electric Institute (EEI) is the premier trade association for U.S. shareholder-owned electric companies, and serves international affiliates and industry associates worldwide. Electric Power Supply Association Electric Power Supply Association Logo The Electric Power Supply Association (EPSA) is the national trade association representing competitive power suppliers, including independent power producers, merchant generators, and power marketers. Large Public Power Council

413

Ultra-Efficient and Power-Dense Electric Motors  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

food, aggregates, mining, material handling, heating, ventilating, air conditioning, wastewater, air handling, and beverage industries. Project Partners Baldor Electric Company...

414

Theory and Application of Linear Supply Function Equilibrium in Electricity Markets  

E-Print Network [OSTI]

and Newbery (1992) to the electricity industry reforms in England and Wales (E&W). Green (1996) used a linear as a practical tool for studying oligopoly in the electricity industry. Recent reforms of the electricity

Baldick, Ross

415

Industry @ ALS  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

416

DOE/EIA-0304 Survey of Large Combustors:  

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

304 304 Survey of Large Combustors: Report on Alternative- Fuel Burning Capabilities of Large Boilers in 1979 U.S. Department of Energy Energy information Administration Office of Energy Markets and End Use Energy End Use Division Introduction During recent years, total annual industrial energy consumption in the United States has been approximated at 25 to 26 quadrillion British thermal units (Btu).^- Manufacturin g is by far the largest components totaling 12.9 quadrillion Btu of purchased fuels and electricity for heat and power during 1979.2 QJ this amount, 10.5 quadrillion Btu was accounted for by purchased fuels alone (e.g., fuel oil, coal, natural gas, etc.). Other than fuel consumption by type and industrial classificati on, very little information existed on specific fuel consumption characterist

417

Lagrangean Decomposition Algorithm for Supply Chain Redesign of Electric Motors  

E-Print Network [OSTI]

Lagrangean Decomposition Algorithm for Supply Chain Redesign of Electric Motors Industry Yongheng Redesign of Electric Motors Industry Introduction of the Supply Chain Model 3/22/13 2 Analia Rodriguez #12 Decomposition Algorithm for Supply Chain Redesign of Electric Motors Industry #12;Lagrangean Decomposition

Grossmann, Ignacio E.

418

Industrial Hygienist  

Broader source: Energy.gov [DOE]

A successful candidate in this position wil l serve as an Industrial Hygienist in the Operations Division, providing technical oversight of the Pacific Northwest National Laboratory contractors...

419

Industrial Users  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industrial Users - Media Publications and Information The Invisible Neutron Threat Neutron-Induced Failures in Semiconductor Devices Nuclear Science Research at the LANSCE-WNR...

420

Industrial Users  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

on altitude. This large flux allows testing of semiconductor devices at greatly accelerated rates. Industry users are invited to contact Steve Wender, phone:505-667-1344 or...

Note: This page contains sample records for the topic "industry surveys electric" 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

Industry Profile | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

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.

422

North American Electric Reliability Corporation (NERC): Reliability...  

Broader source: Energy.gov (indexed) [DOE]

and winter and summer forecasts; monitors the bulk power systems; and educates, trains, and certifies industry personnel. North American Electric Reliability Corporation...

423

Denton Municipal Electric- Standard Offer Rebate Program  

Broader source: Energy.gov [DOE]

Within the GreenSense program, Denton Municipal Electric's Standard Offer Program provides rebates to large commercial and industrial customers for lighting retrofits, HVAC upgrades and motor...

424

Sandia National Laboratories: Federal Electric Regulatory Commission  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

News, News & Events, Partnership, Photovoltaic, Renewable Energy, SMART Grid, Solar, SunShot, Systems Analysis After two years of industry consultation, the Federal Electric...

425

Sandia National Laboratories: Federal Electric Regulatory Commission...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

News, News & Events, Partnership, Photovoltaic, Renewable Energy, SMART Grid, Solar, SunShot, Systems Analysis After two years of industry consultation, the Federal Electric...

426

Reactive Power Support Services in Electricity Markets  

E-Print Network [OSTI]

Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Final Project Report Power Systems Engineering Research Center A National Science Foundation Industry Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Project

427

Industrial microbiology  

Science Journals Connector (OSTI)

...include the fruit, wine, baking, milling, dairy, and distill-ing industries...fructose known as high fruc-tose corn syrup. Between 500,000 and 1...glucose isomerase has permitted the corn wet milling industry to capture 30 percent of...

AL Demain

1981-11-27T23:59:59.000Z

428

2/21/2014 Downsizing Wind Energyfor Your Phone | Glacial EnergyBlog -Commercial Electric Savings, Electric Provider, Electric Supplier http://blog.glacialenergy.com/2014/02/19/downsizing-wind-energy-for-your-phone/ 1/2  

E-Print Network [OSTI]

suppliers selling electricity and natural gas to residential, commercial, industrial, and institutional Energy Saving Tips Events General Electricity green roof Household Tips Life Tips Natural Gas New Announcements Community Electrical Safety Electricity Energy Energy Efficiency Energy Innovations Energy News

Chiao, Jung-Chih

429

Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India  

E-Print Network [OSTI]

B. (2001). The California Electricity Crisis: Lessons forMagic or Mayhem? The Electricity Journal Vol 17, No 7,a Deregulated California Electricity Industry. Journal of

Phadke, Amol

2007-01-01T23:59:59.000Z

430

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

Broader source: Energy.gov (indexed) [DOE]

Consumption Consumption Electricity Consumption EIA Electricity Consumption Estimates (million kWh) National Petroleum Council Assumption: The definition of electricity con- sumption and sales used in the NPC 1999 study is the equivalent ofwhat EIA calls "sales by utilities" plus "retail wheeling by power marketers." This A nn u al Gro wth total could also be called "sales through the distribution grid," 2o 99 99 to Sales by Utilities -012% #N/A Two other categories of electricity consumption tracked by EIA cover on site Retail Wheeling Sales by generation for host use. The first, "nonutility onsite direct use," covers the Power Marketen 212.25% #N/A traditional generation/cogeneration facilities owned by industrial or large All Sales Through Distribution

431

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: December 2011 End Use: December 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

432

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: August 2011 End Use: August 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

433

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: November 2011 End Use: November 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

434

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: February 2012 End Use: February 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

435

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2011 End Use: October 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

436

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: March 2012 End Use: March 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

437

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: September 2011 End Use: September 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

438

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2013 End Use: October 2013 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

439

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: January 2012 End Use: January 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

440

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

E-Print Network [OSTI]

thousands of new private electricity companies modeled on5.5 Electricity company (russian/private) Norilsk Nickel 4.8of change: an electricity industry with private actors

Wengle, Susanne Alice

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

Survey Statisticians  

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

Survey Statisticians Survey Statisticians The U.S.Energy Information Administration (EIA) within the Department of Energy has forged a world-class information program that stresses quality, teamwork, and employee growth. In support of our program, we offer a variety of profes- sional positions, including the Survey Statistician, who measures the amounts of energy produced and consumed in the United States. Responsibilities: Survey Statisticians perform or participate in one or more of the following important functions: * Design energy surveys by writing questions, creating layouts and testing questions for clarity and accuracy. * Conduct energy surveys to include sending out and tracking survey responses, editing and analyzing data submis- sions and communicating with respondents to verify data.

442

Process Heating Assessment and Survey Tool Fact Sheet  

Broader source: Energy.gov [DOE]

This fact sheet describes how industrial plants can improve their process heating system performance using AMO's Process Heating Assessment and Survey Tool (PHAST)

443

State Geological Survey Contributions to NGDS Data Development...  

Open Energy Info (EERE)

Survey Awardee Website http:www.azgs.az.gov Partner 1 Microsoft Research Partner 2 Energy Industry Metadata Standards Working Group Partner 4 String representation "Geological...

444

Energy Efficiency Improvement and Cost Saving Opportunities for the Vehicle Assembly Industry: An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network [OSTI]

Oversized and Underloaded Electric Motor. Office of EnergyUnited States Industrial Electric Motor Systems Marketthe NEMA Premium Efficiency Electric Motor specification was

Galitsky, Christina

2008-01-01T23:59:59.000Z

445

Energy Efficiency Improvement and Cost Saving Opportunities for the Petrochemical Industry - An ENERGY STAR(R) Guide for Energy and Plant Managers  

E-Print Network [OSTI]

and Underloaded Electric Motor. U.S. DOE, Washington, DC2002d). Optimizing Electric Motor Systems at A CorporateUnited States Industrial Electric Motor Systems Market

Neelis, Maarten

2008-01-01T23:59:59.000Z

446

Energy Efficiency Improvement and Cost Saving Opportunities for the U.S. Iron and Steel Industry An ENERGY STAR(R) Guide for Energy and Plant Managers  

E-Print Network [OSTI]

Oversized and Underloaded Electric Motor. U.S. Department of2002b). Optimizing Electric Motor Systems at A CorporateUnited States Industrial Electric Motor Systems Market

Worrell, Ernst

2011-01-01T23:59:59.000Z

447

IMPROVING ENERGY EFFICIENCY AND REDUCING COSTS IN THE DRINKING WATER SUPPLY INDUSTRY: An ENERGY STAR Resource Guide for Energy and Plant Managers  

E-Print Network [OSTI]

2002. United States Industrial Electric Motor Systems MarketEfficiency Alliance, Electric Motor Management. 2001. Motoraccessed March 23, Motors Electric motors represent one of

Brown, Moya Melody, Camilla Dunham Whitehead, Rich

2011-01-01T23:59:59.000Z

448

Digital Surveying Directional Surveying Specialists | Open Energy  

Open Energy Info (EERE)

Digital Surveying Directional Surveying Specialists Digital Surveying Directional Surveying Specialists Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Digital Surveying Directional Surveying Specialists Author Directional Surveying Specialists Published Publisher Not Provided, 2012 DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Digital Surveying Directional Surveying Specialists Citation Directional Surveying Specialists. Digital Surveying Directional Surveying Specialists [Internet]. 2012. [cited 2013/10/08]. Available from: http://www.digitalsurveying.co.za/services/geophysical-borehole-surveying/overview/optical-televiewer/ Retrieved from "http://en.openei.org/w/index.php?title=Digital_Surveying_Directional_Surveying_Specialists&oldid=690244"

449

The Electric Power Research Institute  

Science Journals Connector (OSTI)

...program for the elec-tric power industry. EPRI selects and...systems-Tennessee Valley Authority and the Bonneville Power Administration. About 150 non-member utilities...Tennessee Valley Au-thority and Bonneville Power Adminis-tration, no...

Chauncey Starr

1983-03-11T23:59:59.000Z

450

Virginia Regional Industrial Facilities Act (Virginia) | Department of  

Broader source: Energy.gov (indexed) [DOE]

Regional Industrial Facilities Act (Virginia) Regional Industrial Facilities Act (Virginia) Virginia Regional Industrial Facilities Act (Virginia) < Back Eligibility Commercial Construction Developer Industrial Investor-Owned Utility Local Government Municipal/Public Utility Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Virginia Program Type Industry Recruitment/Support Provider Regional Industrial Facility Authorities The Virginia Regional Industrial Facilities Act is meant to aid the economic development of localities within the Commonwealth. The Act provides a mechanism for localities to establish regional industrial facility authorities, enabling them to pool financial resources to stimulate economic development. The purpose of a regional industrial

451

Industry Perspective  

Broader source: Energy.gov [DOE]

Fuel cell and biogas industries perspectives. Presented by Mike Hicks, Fuel Cell and Hydrogen Energy Association, at the NREL/DOE Biogas and Fuel Cells Workshop held June 11-13, 2012, in Golden, Colorado.

452

" Sources by Industry Group, Selected Industries, and Selected Characteristics,"  

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

3. Capability to Switch from Electricity to Alternative Energy" 3. Capability to Switch from Electricity to Alternative Energy" " Sources by Industry Group, Selected Industries, and Selected Characteristics," 1991 " (Estimates in Million Kilowatthours)" ,," Electricity Receipts",,," Alternative Types of Energy(b)" ,,"-","-","-----------","-","-","-","-","-","-","-" ,,,,,,,,,,"Coal",,"RSE" ,,"Total"," ","Not","Natural","Distillate","Residual",,,"Coke and",,"Row" ,,"Receipts(c)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(d)","Factors"," "

453

Electrical Energy Monitoring in an Industrial Plant  

E-Print Network [OSTI]

, link energy use to differing production levels, or to better define operational costs. Once a pattern of energy and demand use has been identified, the Demand Side Management (DSM) aspects of an energy management program may be applied. DSM actions... to differing production levels, or to better define operational costs. Once a pattern of energy and demand use has been identified, the Demand Side Management (DSM) aspects of an energy management program may be applied. DSM actions include reducing...

Dorhofer, F. J.; Heffington, W. M.

454

Technical Developments in the Electricity Supply Industry  

Science Journals Connector (OSTI)

... at all economical. Boilers operated at low pressures and were often fired by hand; engines were of the ... were of the reciprocating type, with belt-drive to the dynamos.

HARRY TAYLOR

1963-08-03T23:59:59.000Z

455

Economic Impact of the Texas Poultry Industry  

E-Print Network [OSTI]

It is estimated that the Texas poultry industry contributes more than $1.6 billion to the state's economy, according to results of a survey of broiler, egg and turkey producers operating in 2003. Details about industry income, employees and economic...

Carey, John B.

2004-12-02T23:59:59.000Z

456

Understanding and reducing energy and costs in industrial cooling systems  

E-Print Network [OSTI]

Industrial cooling remains one of the largest potential areas for electrical energy savings in industrial plants today. This is in spite of a relatively small amount of attention paid to it by energy auditors and rebate program designers. US DOE...

Muller, M.R.; Muller, M.B.

2012-01-01T23:59:59.000Z

457

Online Modeling in the Process Industry for Energy Optimization  

E-Print Network [OSTI]

"This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam...

Alexander, J.

458

E-Print Network 3.0 - automotive industry current Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Development Scheme, The UK... 12;12;AA AUTOMOTIVE ENGINEERING ELECTRIC POWER ENGINEERING INDUSTRIAL ECOLOGY... APPLIED MECHANICS SOUND AND VIBRATION ...

459

INDUSTRIAL NOTES  

Science Journals Connector (OSTI)

...emigration cause; and " Man and His Maladies," a popular handbook of physiology and domestic imedicine, by A. E. Bridger...novelty, invented and patented by Mr. Herman Boissier, electrician of the Arnoux & Hochhausen Electric Com-pany of this city...

1889-09-13T23:59:59.000Z

460

State Renewable Electricity Profiles  

Reports and Publications (EIA)

Presents a summary of current and recent historical data for the renewable electric power industry. The data focuses on net summer capacity and net generation for each type of renewable generator, as well as fossil-fired and nuclear power plant types, for the period 2006 through 2010.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industry surveys electric" 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

Companhia Agro Industrial de Goiana | Open Energy Information  

Open Energy Info (EERE)

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

462

Advanced Laser-Based Sensors for Industrial Process Control  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Laser-Based Sensors for Industrial Process Control Increased Efficiency and Reduced Emissions Using Advanced Laser-Based Sensors for Process Control Monitoring in Electric Arc...

463

Vision Industries dba Vision Motor Corp | Open Energy Information  

Open Energy Info (EERE)

Vision Motor Corp) Place: Santa Monica, California Zip: 90405 Product: Santa Monica-based electric vehicle manufacturer. References: Vision Industries (dba Vision Motor Corp)1...

464

United States Industrial Motor Systems Market Opportunities Assessment...  

Broader source: Energy.gov (indexed) [DOE]

Executive Summary (December 1998) More Documents & Publications United States Industrial Electric Motor Systems Market Opportunities Assessment Pulp and Paper Mills: Profiting...

465

Industrial DSM: Beyond High Efficiency Lights and Motors  

E-Print Network [OSTI]

Perhaps the greatest challenge to electric utilities is the design and implementation of demand side management (DSM) programs targeted to their industrial customers. In focussing on promotion of high efficiency lighting systems, electric motors...

Appelbaum, B.

466

Emerging Technologies for Industrial Demand-Side Management  

E-Print Network [OSTI]

this problem is to move the loads from peak to off-peak periods without changing overall electricity consumption. By using cool storage systems, energy consumption for businesses and industry can be shifted, reducing electricity costs to the consumer...

Neely, J. E.; Kasprowicz, L. M.

467

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

468

Alternate Cooling Methods for Industrial Plants  

E-Print Network [OSTI]

Cooling in industrial facilities has traditionally been performed by mechanical vapor compression units. While it remains the standard, recent concerns with the rising cost of electricity and environmental legislation restricting or outlawing CFC...

Brown, M.; Moore, D.

469

Energy Recovery in Industrial Distillation Processes  

E-Print Network [OSTI]

ENERGY RECOVERY IN INDUSTRIAL DISTILLATION PROCESSES Duane B. Paul General Electric Company Fitchburg, Massachusetts ABSTRACT Overhead separati on processes whi ch present attracti ve Distillation processes are energy intensive Condenser...

Paul, D. B.

1983-01-01T23:59:59.000Z

470

Evaluating Sites for Industrial Cogeneration in Chicago  

E-Print Network [OSTI]

and hospital complexes; and new, densely populated residential developments that have large thermal and electric demands. Potential sites have been evaluated as part of a project to encourage industrial cogeneration applications in Chicago. Energy...

Fowler, G. L.; Baugher, A. H.

1982-01-01T23:59:59.000Z

471

Electricity Delivery and Energy Reliability  

Broader source: Energy.gov (indexed) [DOE]

The Office of Electricity Delivery and Energy Reliability (OE) drives electric grid modernization and resiliency in the energy infrastructure while working to enable innovation across the energy sector, empowering American consumers, and securing our energy future. The OE mission and the leadership role OE plays in the energy industry directly support the President's effort to accelerate the transformation of America's energy system

472

"Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"  

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

3.4 Relative Standard Errors for Table 3.4;" 3.4 Relative Standard Errors for Table 3.4;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)" ,,"Total United States"

473

Survey Consumption  

Gasoline and Diesel Fuel Update (EIA)

fsidentoi fsidentoi Survey Consumption and 'Expenditures, April 1981 March 1982 Energy Information Administration Wasningtoa D '" N """"*"""*"Nlwr. . *'.;***** -. Mik>. I This publication is available from ihe your COr : 20585 Residential Energy Consumption Survey: Consum ption and Expendi tures, April 1981 Through March 1982 Part 2: Regional Data Prepared by: Bruce Egan This report was prepared by the Energy Information Administra tion, the independent statistical

474

Electric power annual 1997. Volume 1  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric power industry statistics at national, regional, and State levels. The objective of the publication is to provide industry decisionmakers, government policy-makers, analysts, and the general public with data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. Volume 1 -- with a focus on US electric utilities -- contains final 1997 data on net generation and fossil fuel consumption, stocks, receipts, and cost; preliminary 1997 data on generating unit capability, and retail sales of electricity, associated revenue, and the average revenue per kilowatthour of electricity sold (based on a monthly sample: Form EIA-826, ``Monthly Electric Utility Sales and Revenue Report with State Distributions``). Additionally, information on net generation from renewable energy sources and on the associated generating capability is included in Volume 1 of the EPA.

NONE

1998-07-01T23:59:59.000Z

475

According to the Canadian Electricity Association's (CEA) 2004 Canadian Electricity Human Resource Study (HR Study)  

E-Print Network [OSTI]

According to the Canadian Electricity Association's (CEA) 2004 Canadian Electricity Human Resource and grow the electricity supply. Other industry realities such as the need to build and replace and increase within the electricity sector. The ability of educational and training institutions to adequately

476

Electric Companies and Electric Transmission Lines (North Dakota) |  

Broader source: Energy.gov (indexed) [DOE]

Electric Companies and Electric Transmission Lines (North Dakota) Electric Companies and Electric Transmission Lines (North Dakota) Electric Companies and Electric Transmission Lines (North Dakota) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State North Dakota Program Type Line Extension Analysis The Public Service Commission has the authority to regulate the

477

Telluric Survey | Open Energy Information  

Open Energy Info (EERE)

Telluric Survey Telluric Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Telluric Survey Details Activities (3) Areas (3) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Electromagnetic Sounding Techniques Information Provided by Technique Lithology: Rock composition, mineral and clay content Stratigraphic/Structural: Detection of permeable pathways, fracture zones, faults Hydrological: Resistivity influenced by porosity, grain size distribution, permeability, fluid saturation, fluid type and phase state of the pore water Thermal: Resistivity influenced by temperature Cost Information Low-End Estimate (USD): 522.2252,222 centUSD

478

Meriwether Lewis Electric Coop | Open Energy Information  

Open Energy Info (EERE)

Meriwether Lewis Electric Coop Meriwether Lewis Electric Coop Place Tennessee Utility Id 12330 Utility Location Yes Ownership C NERC Location SERC NERC SERC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial General Power Rate- Part 1 Commercial Commercial General Power Rate- Part 2 Commercial Commercial General Power Rate- Part 3 Commercial Industrial General Power Rate- Part 1 Industrial Industrial General Power Rate- Part 2 Industrial Industrial General Power Rate- Part 3 Industrial Industrial General Power SDE RATE (SGSB) Industrial MANUFACTURING TOU RATE (MSB) Industrial

479

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

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

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

480

Carbon Emissions: Petroleum Refining Industry  

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

Petroleum Refining Industry Petroleum Refining Industry Carbon Emissions in the Petroleum Refining Industry The Industry at a Glance, 1994 (SIC Code: 2911) Total Energy-Related Emissions: 79.9 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 21.5% -- Nonfuel Emissions: 16.5 MMTC Total First Use of Energy: 6,263 trillion Btu -- Pct. of All Manufacturers: 28.9% Nonfuel Use of Energy Sources: 3,110 trillion Btu (49.7%) -- Naphthas and Other Oils: 1,328 trillion Btu -- Asphalt and Road Oil: 1,224 trillion Btu -- Lubricants: 416 trillion Btu Carbon Intensity: 12.75 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey", "Monthly Refinery Report" for 1994, and Emissions of Greenhouse Gases in the United States 1998.

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


481

Electric Rate Alternatives to Cogeneration  

E-Print Network [OSTI]

"ELECTRIC RATE ALTERNATIVES TO COGENERATION" K. R. SANDBERG, JR. INDUSTRIAL ACCOUNTS MANAGER - TEXAS GULF STATES UTILITIES COMPANY BEAUMONT, TEXAS ABSTRACT This paper discusses electric rate slternatives to cogeneration for the industrisl... PERSPECTIVE Gulf States Utilities was incorporated in 1925 and is primarily in the business of generating. transmitting and distributing electricity to 555.000 customers in southeast Texas and south Louisiana. The service area extends 350 miles westward...

Sandberg, K. R. Jr.

482

Industrial Power Factor Analysis Guidebook.  

SciTech Connect (OSTI)

Power factor is a way of measuring the percentage of reactive power in an electrical system. Reactive power represents wasted energy--electricity that does no useful work because the electrical current is out of phase with the voltage. Reactive power is used by inductive loads (such as, motors, transformers, fluorescent lights, arc welders and induction furnaces) to sustain their magnetic fields. Electric systems with many motors exhibit low power factors, increased conductor and transformer losses, and lower voltages. Utilities must supply both active and reactive power and compensate for these losses. Power factor can be improved by the addition of shunt capacitors. Capacitors act in opposition to inductive loads, thereby minimizing the reactive power required to serve them. In raising the power factor, shunt capacitors release energy to the system, reduce system losses, and ultimately decrease power costs. Improving system power factor can reduce reactive and active power losses for both industry and utilities through the addition of shunt capacitors. This Guide Book gives electric utility technical staff, industrial end-users, consultants and BPA employees a step-by-step method for evaluating the cost effectiveness of installing power factor correction capacitors in an industrial plant.

Electrotek Concepts.

1995-03-01T23:59:59.000Z

483

Industrial Radiology  

Science Journals Connector (OSTI)

... chief application of industrial radiology in Norway is in the examination of pipe welds in hydroelectric plant. H. Vinter (Denmark), director of the Akademiet for de Technische Videns ... and to compare various methods of non-destructive testing. He gave results of tests on turbine disk forgings of austenitic steel which showed satisfactory agreement between radiography, ultrasonic examination and ...

1950-11-18T23:59:59.000Z

484

Nolin Rural Electric Coop Corp | Open Energy Information  

Open Energy Info (EERE)

Nolin Rural Electric Coop Corp Nolin Rural Electric Coop Corp Jump to: navigation, search Name Nolin Rural Electric Coop Corp Place Kentucky Utility Id 13651 Utility Location Yes Ownership C NERC Location RFC NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Industrial Industrial Large Power Commercial Schedule 1 - Residential, Farm, non-farm, trailers and mobile homes Residential Schedule 10 - Industrial Lighting Schedule 11 - Industrial Industrial Schedule 12 - Industrial C Industrial Schedule 12 - Industrial C from an existing substation Industrial Schedule 13- Industrial C Industrial

485

PRELIMINARY SURVEY OF WESTINGHOUSE ELECTRIC CORPORATION EAST...  

Office of Legacy Management (LM)

EAST PITTSBURGH, PENNSYLVANIA Work performed by the Health and Safety Research Division Oak Ridge National Laboratory Oak Ridge, Tennessee 37830 March 1980 OAK RIDGE NATIONAL...

486

Heat pumps in industrial cleaning applications  

E-Print Network [OSTI]

Heat pumps in industrial cleaning applications Achema 2012 - Frankfurt Bjarke Paaske, bjpa consuming n Plants are often heated by electricity n No standard heat pump units available Project to promote heat pumps in industrial cleaning apps. #12;Cleaning plant, drum type Items enter here #12;Washing

Oak Ridge National Laboratory

487

Nueces Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Nueces Electric Coop, Inc Nueces Electric Coop, Inc Jump to: navigation, search Name Nueces Electric Coop, Inc Place Texas Utility Id 13830 Utility Location Yes Ownership C NERC Location TRE NERC ERCOT Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png College Discount Rider Commercial Cotton Gin Industrial Cotton Gin-Time-of-Peak Industrial Cotton Gin-Time-of-Peak Alternate Industrial Large Power Service-Commercial Commercial Large Power Service-Industrial Industrial Large Power-Commercial Primary Voltage Commercial Large Power-Industrial Primary Voltage Industrial

488

DRAFT DRAFT Electricity and Natural Gas Sector Description  

E-Print Network [OSTI]

DRAFT DRAFT Electricity and Natural Gas Sector Description For Public Distribution AB 32 Scoping of electricity and natural gas; including electricity generation, combined heat and power, and electricity and natural gas end uses for residential and commercial purposes. Use of electricity and/or gas for industrial

489

Climate Survey  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Operations Employee Operations Employee Climate Survey March 2009 Acknowledgements The Berkeley Lab Survey Team consisted of the following: Jim Krupnick, Sponsor Vera Potapenko, Project Lead Karen Ramorino, Project Manager Chris Paquette, MOR Associates Alexis Bywater, MOR Associates MOR Associates, an external consulting firm, acted as project manager for this effort, analyzing the data and preparing this report. MOR Associates specializes in continuous improve- ment, strategic thinking and leadership development. MOR Associates has conducted a number of large-scale surveys for organizations in higher education, including MIT, Stanford, the University of Chicago, and others. MOR Associates, Inc. 462 Main Street, Suite 300 Watertown, MA 02472 tel: 617.924.4501

490

Electricity Reliability  

E-Print Network [OSTI]

Electricity Delivery and Energy Reliability High Temperature Superconductivity (HTS) Visualization in the future because they have virtually no resistance to electric current, offering the possibility of new electric power equipment with more energy efficiency and higher capacity than today's systems

491

Reducing Pumping Related Electricity Costs - A Case Study of Three Water Utility Companies in Zambia.  

E-Print Network [OSTI]

?? Electric pumps are extensively used in many industrial and commercial applications worldwide and account for about twenty percent of the worlds electrical energy demand. (more)

Siyingwa, Bennet

2013-01-01T23:59:59.000Z

492

Electric Power Monthly  

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

Annual Annual Technical Notes This appendix describes how the U.S. Energy Information Administration collects, estimates, and reports electric power data in the Electric Power Annual. Data Quality and Submission The Electric Power Annual (EPA) is prepared by the Office of Electricity, Renewables, and Uranium Statistics (ERUS), U.S. Energy Information Administration (EIA), U.S. Department of Energy (DOE). ERUS performs routine reviews of the data collection respondent frames, survey forms, and reviews the quality of the data received. Data are entered directly by respondents into the ERUS Internet Data Collection (IDC) system. A small number of hard copy forms are keyed into the system by ERUS personnel. All data are subject to review via interactive edits built into the IDC system, internal quality assurance reports, and review by ERUS

493

Electrical insulation  

Science Journals Connector (OSTI)

n....Material with very low conductivity, which surrounds active electrical devices. Common electrical insulation chemicals are fluorine-containing polymers.

2007-01-01T23:59:59.000Z

494

Electrical Insulation  

Science Journals Connector (OSTI)

n...Material with very low conductivity which surrounds active electrical devices. Common electrical insulation chemicals are fluorine-containing polymers (Dissado LA...

Jan W. Gooch

2011-01-01T23:59:59.000Z

495

American Electric Technologies Inc | Open Energy Information  

Open Energy Info (EERE)

Electric Technologies Inc Electric Technologies Inc Jump to: navigation, search Name American Electric Technologies Inc Place Houston, Texas Zip TX 77087 Sector Services Product American Electric Technologies (formerly M&I Electric Industries) is a global supplier of power delivery products and services to the traditional and alternative energy industries. References American Electric Technologies Inc[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. American Electric Technologies Inc is a company located in Houston, Texas . References ↑ "American Electric Technologies Inc" Retrieved from "http://en.openei.org/w/index.php?title=American_Electric_Technologies_Inc&oldid=342113"

496

Superconductivity for electric power systems: Program overview  

SciTech Connect (OSTI)

Largely due to government and private industry partnerships, electric power applications based upon high-temperature superconductivity are now being designed and tested only seven years after the discovery of the high-temperature superconductors. These applications offer many benefits to the national electric system including: increased energy efficiency, reduced equipment size, reduced emissions, increased stability/reliability, deferred expansion, and flexible electricity dispatch/load management. All of these benefits have a common outcome: lower electricity costs and improved environmental quality. The U.S. Department of Energy (DOE) sponsors research and development through its Superconductivity Program for Electric Power Systems. This program will help develop the technology needed for U.S. industries to commercialize high-temperature superconductive electric power applications. DOE envisions that by 2010 the U.S. electric power systems equipment industry will regain a major share of the global market by offering superconducting products that outperform the competition.

Not Available

1995-02-01T23:59:59.000Z

497

Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China  

SciTech Connect (OSTI)

China's cement industry, which produced 1,388 million metric tons (Mt) of cement in 2008, accounts for almost half of the world's total cement production. Nearly 40% of China's cement production is from relatively obsolete vertical shaft kiln (VSK) cement plants, with the remainder from more modern rotary kiln cement plants, including plants equipped with new suspension pre-heater and pre-calciner (NSP) kilns. Shandong Province is the largest cement-producing Province in China, producing 10% of China's total cement output in 2008. This report documents an analysis of the potential to improve the energy efficiency of NSP kiln cement plants in Shandong Province. Sixteen NSP kiln cement plants were surveyed regarding their cement production, energy consumption, and current adoption of 34 energy-efficient technologies and measures. Plant energy use was compared to both domestic (Chinese) and international best practice using the Benchmarking and Energy Saving Tool for Cement (BEST-Cement). This benchmarking exercise indicated an average technical potential primary energy savings of 12% would be possible if the surveyed plants operated at domestic best practice levels in terms of energy use per ton of cement produced. Average technical potential primary energy savings of 23% would be realized if the plants operated at international best practice levels. Energy conservation supply curves for both fuel and electricity savings were then constructed for the 16 surveyed plants. Using the bottom-up electricity conservation supply curve model, the cost-effective electricity efficiency potential for the studied cement plants in 2008 is estimated to be 373 gigawatt hours (GWh), which accounts for 16% of total electricity use in the 16 surveyed cement plants in 2008. Total technical electricity-saving potential is 915 GWh, which accounts for 40% of total electricity use in the studied plants in 2008. The fuel conservation supply curve model shows the total technical fuel efficiency potential equal to 7,949 terajoules (TJ), accounting for 8% of total fuel used in the studied cement plants in 2008. All the fuel efficiency potential is shown to be cost effective. Carbon dioxide (CO{sub 2}) emission reduction potential associated with cost-effective electricity saving is 383 kiloton (kt) CO{sub 2}, while total technical potential for CO{sub 2} emission reduction from electricity-saving is 940 ktCO{sub 2}. The CO{sub 2} emission reduction potentials associated with fuel-saving potentials is 950 ktCO{sub 2}.

Price, Lynn; Hasanbeigi, Ali; Lu, Hongyou; Wang, Lan

2009-10-01T23:59:59.000Z

498

Investment in nuclear generation in a restricted electricity market : an analysis of risks and financing options  

E-Print Network [OSTI]

Since the late 1970s, the US electric power industry has been undergoing major changes. The electric utility industry had mainly consisted of highly regulated, vertically integrated, local monopolies, providing customers ...

Berger, Raphael

2006-01-01T23:59:59.000Z

499

NEPA COMPLIANCE SURVEY  

Broader source: Energy.gov (indexed) [DOE]

0 0 Project lnfonnation Project Title: Replace electrical line from well to power pole Date: 3/10/2010 DOE Code: Contractor Code: Project Lead: Mike Preston Project Overview No impact to the environment. 1. What are the environmental impacts? Dig up old electrical line from pumping unit on 61-S-34 to power pole east of well , {approximately 75 feet 2. What is the legal location? from unit) and replace with new line. 3. What is the duration of the project? 4. What major equipment will be used 1 day if any (work over rig , drilling rig , etc.)? Electrician, ditch witch and operator for equipment The table below is to be completed by the Project Lead and reviewed by the Environmental Specialist and the DOE NEPA Compliance Officer. NOTE: If Change of Scope occurs, Project Lead must submit a new NEPA Compliance Survey and

500

Electricity - Data - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Find statistics on electric power plants, capacity, generation, fuel Find statistics on electric power plants, capacity, generation, fuel consumption, sales, prices and customers. + EXPAND ALL Summary Additional formats Summary electricity statistics 2001-2011 › XLS Supply and disposition of electricity 2002-2011 › XLS Electricity overview › Generation, retail sales, electricity trade, losses PDF XLS Consumption for electricity generation › Fossil and renewable fuel consumption for electricity generation PDF XLS Generating capacity › Electric net summer capacity by specific energy source more on electricity PDF XLS Monthly electricity overview - back to 1973 CSV PDF XLS Latest month total electric power industry summary statistics › Overview XLS Year-to-date total electric power industry summary statistics ›