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1

Distribution Category UC-950  

Gasoline and Diesel Fuel Update (EIA)

EIA - 0627 EIA - 0627 Distribution Category UC-950 May 2001 Energy Information Administration Office of Oil and Gas U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The Information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. Energy Information Administration Future Oil Production for the Alaska North Slope iii Future Oil Production for the Alaska North Slope, a product of the Energy Information Administration's (EIA) Office of Oil and Gas,

2

DOE/EIA-0191(99) Distribution Category UC-950  

Gasoline and Diesel Fuel Update (EIA)

9) 9) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility Plants 1999 Tables June 2000 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts The annual publication Cost and Quality of Fuels for Electric Utility Plants (C&Q) is no longer published by the EIA. The tables presented in this document are intended to replace that annual publication. Questions regarding the availability of these data should

3

Performance profiles style sheet  

Gasoline and Diesel Fuel Update (EIA)

06) 06) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2006 December 2007 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts Performance Profiles of Major Energy Producers 2006 is prepared by the Energy Information Administration, Office of Energy Markets and End Use, Energy Markets and Contingency Information Division, Financial

4

Performance Profiles of Major Energy Producers 1993  

Gasoline and Diesel Fuel Update (EIA)

3) 3) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1993 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 Energy Information Administration/ Performance Profiles of Major Energy Producers 1993 ii This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1993 iii The Financial Reporting System, 1977-1993 diskette is available from the Energy Information Administration.

5

Performance Profiles of Major Energy Producers 2001  

Gasoline and Diesel Fuel Update (EIA)

1) 1) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2001 January 2003 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This report was prepared in the Office of Energy Markets and End Use of the Energy Information Administration

6

Performance Profiles of Major Energy Producers 1995  

Gasoline and Diesel Fuel Update (EIA)

5) 5) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1995 January 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1995 ii To download the Financial Reporting System 1977-1995 data files, access the Energy Information Center's FTP site, at ftp: //ftp.eia.doe.gov or access the Energy Information Administration's Home Page at http://www.eia.doe.gov.

7

Performance Profiles of Major Energy Producers 1996  

Gasoline and Diesel Fuel Update (EIA)

6) 6) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1996 January 1998 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1996 ii The Financial Reporting System 1977-1996 data files can be downloaded from the Energy Information

8

Performance Profiles of Major Energy Producers 1997  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1997 January 1999 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1997 ii The Financial Reporting System 1977-1997 data files can be downloaded from the Energy Information Administration's

9

Performance Profiles of Major Energy Producers 1994  

Gasoline and Diesel Fuel Update (EIA)

4) 4) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1994 January 1996 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This report was prepared in the Office of Energy Markets and End Use of the Energy Information Administration, U.S. Department of Energy, under the general direction of W. Calvin Kilgore. The project was directed by Mark E. Rodekohr, Director of the Energy Markets and Contingency Information Division (202) 586-1441, and Mary E. Northup, Chief of

10

DOE/EIA-0487(96) Distribution Category UC-950 Petroleum Marketing Annual 1996  

Gasoline and Diesel Fuel Update (EIA)

6) 6) Distribution Category UC-950 Petroleum Marketing Annual 1996 October 1997 Energy Information Administration Office of Oil and Gas U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. Contacts The Petroleum Marketing Annual (PMA) is prepared in the Energy Information Administration (EIA) under the general direction of Charles P. Shirkey (202) 586- 6567, Petroleum Marketing Division, Office of Oil and Gas, EIA. Detailed technical questions for specific areas of the

11

DOE/EIA-0625(95) Distribution Category UC-950 A Look  

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

625(95) 625(95) Distribution Category UC-950 A Look at Commercial Buildings in 1995: Characteristics, Energy Consumption, and Energy Expenditures October 1998 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytic agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts The Energy Information Administration (EIA) prepared this publication under the general direction of W. Calvin Kilgore, Director of the Office of Energy Markets and End Use (202-586-1617). The project was directed by

12

Profiling for Performance  

Science Journals Connector (OSTI)

Performance and profiling are critical words in our everyday conversations in the office where I work, in our engagements with clients, and in our teaching. Both words apply equally well to all aspec...

Ron Crisco

2011-01-01T23:59:59.000Z

13

Performance profiles style sheet  

Gasoline and Diesel Fuel Update (EIA)

Performance Profiles of Major Energy Producers 2009 Performance Profiles of Major Energy Producers 2009 vii Major Findings This edition of Performance Profiles reviews financial and operating data for the calendar year 2009 and discusses important trends and emerging issues relevant to U.S. energy company operations. Major U.S.-based oil and natural gas producers and petroleum refiners submit the data in this report annually on Form EIA-28, the Financial Reporting System (FRS). FRS companies' net income declined to the lowest level since 2002.  Net income fell 66 percent (in constant 2009 dollars) to $30 billion in 2009 from $88 billion in 2008. Substantial reductions in oil and natural gas prices in 2009 slowed revenue growth. FRS companies cut operating costs but by less than the decline in revenue, resulting in a 69-percent drop in operating income.

14

Benchmarking optimization software with performance profiles  

E-Print Network (OSTI)

Abstract: We propose performance profiles -- probability distribution functions for a performance metric -- as a tool for benchmarking and comparing optimization...

Elizabeth Dolan

15

Performance Profiles of Major Energy Producers  

Reports and Publications (EIA)

The information and analyses in Performance Profiles of Major Energy Producers is intended to provide a critical review, and promote an understanding, of the possible motivations and apparent consequences of investment decisions made by some of the largest corporations in the energy industry.

2011-01-01T23:59:59.000Z

16

Beam profile effects on NPB performance  

SciTech Connect

A comparison of neutral particle beam (NPB) brightness for various neutral beam profiles indicates that the widely used assumption of a Gaussian profile may be misleading for collisional neutralizers. An analysis of available experimental evidence shows that lower peaks and higher tails, compared to a Gaussian beam profile, are observed out of collisional neutralizers, which implies that peak brightness is over estimated, and for a given NPB platform-to-target range, the beam current (power), dwell time or some combination of such engagement parameters would have to be altered to maintain a fixed dose on the target. Based on the present analysis, this factor is nominally about 2.4 but may actually be as low as 1.8 or as high as 8. This is an important consideration in estimating NPB constellation performance in SDI engagement contexts.

Leclaire, R.J. Jr.; Bunker, W.J.

1988-03-01T23:59:59.000Z

17

Performance profiles of major energy producers 1989  

SciTech Connect

Performance Profiles of Major Energy Producers 1989 is the thirteenth annual report of the Energy Information Administration's (EIA) Financial Reporting System (FRS). The report examines financial and operating developments, with particular reference to the 23 major energy companies (the FRS companies'') required to report annually on Form EIA-28. Financial information is reported by major lines of business including oil and gas production, petroleum refining and marketing, and other energy operations. Domestic and international operations are examined separately in this report. It also traces key developments affecting the financial performance of major energy companies in 1989, as well as review of important trends.

Not Available

1991-01-23T23:59:59.000Z

18

Performance profiles of major energy producers 1993  

SciTech Connect

Performance Profiles of Major Energy Producers 1993 is the seventeenth annual report of the Energy Information Administration`s (EIA) Financial Reporting System (FRS). The report examines financial and operating developments in energy markets, with particular reference to the 25 major US energy companies required to report annually on Form EIA-28. Financial information is reported by major liens of business, including oil and gas production, petroleum refining and marketing, other energy operations, and nonenergy businesses. Financial and operating results are presented in the context of energy market developments with a view toward identifying changing corporate strategies and measuring the performance of ongoing operations both in the US and abroad. This year`s report analyzes financial and operating developments for 1993 (Part 1: Developments in 1993) and also reviews key developments during the 20 years following the Arab Oil Embargo of 1973--1974 (Part 2: Major Energy Company Strategies Since the Arab Oil Embargo). 49 figs., 104 tabs.

NONE

1995-01-01T23:59:59.000Z

19

Project Profile: Development and Performance Evaluation of High...  

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

Development and Performance Evaluation of High Temperature Concrete for Thermal Energy Storage for Solar Power Generation Project Profile: Development and Performance Evaluation of...

20

TAU Portable Performance Profiling Tools Sameer Shende  

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

Laboratory, Los Alamos National Laboratory sameer@cs.uoregon.edu Tuning and Analysis Utilities http:www.acl.lanl.govtau TAU Profiling Team Members (In alphabetical order) Peter...

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Analyis of Path Profiling Information Generated with Performance Monitoring Hardware  

E-Print Network (OSTI)

is to exploit hardware Performance Monitoring Units (PMUs) present in modern microprocessors. The Itanium-2 PMU can be correlated into full paths. As sta- tistically hot paths are most likely to occur in PMU sam techniques carry a high overhead, a PMU-based path profiler represents an ef- fective lightweight profiling

Colorado at Boulder, University of

22

DOE/EIA-0340(98)/2 Distribution Category UC-950 Petroleum Supply  

Gasoline and Diesel Fuel Update (EIA)

January January 1998 Crude Oil Field Production (1) Alaska .......................................................................................................... 38,097 1,229 (2) Lower 48 States ........................................................................................... 164,660 5,312 (3) Total U.S. ................................................................................................ 202,756 6,541 Net Imports (4) Imports (Gross Excluding Strategic Petroleum Reserve (SPR)) ................. 258,506 8,339 (5) SPR Imports ................................................................................................ 0 0 (6) Exports ......................................................................................................... 7,146 231 (7) Imports (Net Including

23

DOE/EIA-0487(95) Distribution Category UC-950 Petroleum Marketing...  

Annual Energy Outlook 2012 (EIA)

. . . . . . . . . . . . . . . . . . 44 23. Domestic Crude Oil First Purchase Prices by API Gravity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 24. F.O.B. Costs...

24

DOE/EIA-0487(96) Distribution Category UC-950 Petroleum Marketing...  

Gasoline and Diesel Fuel Update (EIA)

. . . . . . . . . . . . . . . . . . . 44 23. Domestic Crude Oil First Purchase Prices by API Gravity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 24. F.O.B....

25

DOE/EIA-0340(98)/2 Distribution Category UC-950 Petroleum Supply  

Gasoline and Diesel Fuel Update (EIA)

difference between total movements into and total movements out of each PAD District by pipeline, tanker, and barge. Normal Butane. See Butane. OPEC. The acronym for the...

26

Project Profile: Maintenance-Free Stirling Engine for High-Performance...  

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

Maintenance-Free Stirling Engine for High-Performance Dish CSP Project Profile: Maintenance-Free Stirling Engine for High-Performance Dish CSP Image of a prototype 30-kW Stirling...

27

Project Profile: High Performance Reflector Panels for CSP Assemblies  

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

PPG, under the CSP R&D FOA, is aiming to develop and commercialize large-area second-surface glass mirrors that are superior in value, cost, and performance, to existing mirrors on the market today.

28

Profiles in Courage: Practicing and Performing at Musical Open Mics and Scenes  

E-Print Network (OSTI)

PROFILES IN COURAGE: PRACTICING AND PERFORMING AT MUSICAL OPEN MICS AND SCENES A Dissertation by MARCUS DAVID ALDREDGE 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 August 2009 Major Subject: Sociology PROFILES IN COURAGE: PRACTICING AND PERFORMING AT MUSICAL OPEN MICS AND SCENES A Dissertation by MARCUS DAVID ALDREDGE Submitted to the Office of Graduate Studies of Texas A&M University in partial...

Aldredge, Marcus David

2010-10-12T23:59:59.000Z

29

Influence of Canting Mechanism and Facet Profile on Heliostat Field Performance  

Science Journals Connector (OSTI)

Abstract The reflective surface profile of a heliostat dictates the flux distribution at the receiver aperture. Reducing size of a heliostat image has been shown to result in performance benefits; however, reducing image area is nontrivial. Aberrations result in image spread of which the dominant aberration is astigmatism. This study investigates the effect of profile variation, in the form of the facets profiles and canting strategy, on astigmatism. In this work an analytical investigation into heliostat imaging is conducted using the Igel and Hughes approach which is incorporated into the HFCAL model to allow annual intercept calculations. The model presents an inexpensive analytical alternative to the existing ray tracing models. The main conclusions are that through the selection of appropriate canting strategies and facet profiles astigmatism can be reduced. The extent to which astigmatic correction is possible with static profiles are dependent on the variation of the incidence angle and the optical alignment angle.

W. Landman; P. Gauch

2014-01-01T23:59:59.000Z

30

Microsoft Word - pp2008_cover.doc  

Gasoline and Diesel Fuel Update (EIA)

Performance Performance Profiles of Major Energy Producers 2008 December 2009 DOE/EIA-0206(08) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2008 December 2009 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Performance Profiles of Major Energy Producers 2008

31

Microsoft Word - 01-Cover_final_.doc  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2007 December 2008 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Performance Profiles of Major Energy Producers 2007 ii Contacts Performance Profiles of Major Energy Producers 2007 is prepared by the Energy Information Administration,

32

2294 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 6, JUNE 2007 Wireless Profiled TCP Performance over  

E-Print Network (OSTI)

2294 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 6, JUNE 2007 Wireless Profiled TCP Performance over Integrated Wireless LANs and Cellular Networks Humphrey Rutagemwa, Student Member, IEEE-- An analytical framework for studying the per- formance of Wireless Profiled TCP (WP-TCP) flows over

Shen, Xuemin "Sherman"

33

Calculation of the Non-Inductive Current Profile in High-Performance NSTX Plasmas  

SciTech Connect

The constituents of the current profile have been computed for a wide range of high-performance plasmas in NSTX [M. Ono, et al., Nuclear Fusion 40, 557 (2000)]; these include cases designed to maximize the non-inductive fraction, pulse length, toroidal-?, or stored energy. In the absence of low-frequency MHD activity, good agreement is found between the reconstructed current profile and that predicted by summing the independently calculated inductive, pressure-driven, and neutral beam currents, without the need to invoke any anomalous beam ion diffusion. Exceptions occur, for instance, when there are toroidal Alfven eigenmode avalanches or coupled m/n=1/1+2/1 kink-tearing modes. In these cases, the addition of a spatially and temporally dependent fast ion diffusivity can reduce the core beam current drive, restoring agreement between the reconstructed profile and the summed constituents, as well as bringing better agreement between the simulated and measured neutron emission rate. An upper bound on the fast ion diffusivity of ~0.5-1 m2/sec is found in MHD-free discharges, based on the neutron emission, time rate of change of the neutron signal when a neutral beam is stepped, and reconstructed on-axis current density.

Gerhardt, S P; Gates, D; Kaye, S; Menard, J; Bell, M G; Bell, R E; Le Blanc, B P; Kugel, H; Sabbagh, S A

2011-02-09T23:59:59.000Z

34

Effects of Varying Nutrient Profiles and Enzyme Supplementation in Broiler Diets on Growth Performance and Energy Digestibility  

E-Print Network (OSTI)

The current research program was designed to evaluate the impact of various dietary and ingredient nutrient profiles and exogenous enzyme inclusion on growth performance and energy utilization in broilers. Experiment one was designed to observe...

Campasino, Ashley Marie 1989-

2012-11-16T23:59:59.000Z

35

Building America Top Innovations Hall of Fame Profile … Tankless Gas Water Heater Performance  

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

Incorporating tankless water heaters was one Incorporating tankless water heaters was one of many energy-efficiency recommendations Building America's research team IBACOS had for San Antonio builder Imagine Homes. Although tankless gas water heaters should save approximately 33% on hot water heating compared to a conventional storage water heater, actual energy savings vary significantly based on individual draw volume. Above 10 gallons per draw, the efficiency approaches the rated energy factor. The greatest savings occur at a daily use quantity of about 50 gallons. BUILDING AMERICA TOP INNOVATIONS HALL OF FAME PROFILE INNOVATIONS CATEGORY: 1. Advanced Technologies and Practices 1.2 Energy Efficient Components Tankless Gas Water Heater Performance As improved thermal enclosures dramatically reduce heating and cooling loads,

36

DOE/EIA-0206(96)  

Gasoline and Diesel Fuel Update (EIA)

0) 0) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2000 January 2002 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This report was prepared in the Office of Energy Markets and End Use of the Energy Information Administration

37

The effect of velocity and porosity profiles on the performance of fixed bed reactors  

E-Print Network (OSTI)

reactors. The reaction systems chosen offered a variety of reaction situations, including highly exothermic reactions, multiple and complex reaction schemes. A comparison of the calculated results by the two dimensional plug flow mcdel and the results... to be independent of axial direction in a bed packed with uniform size cylindrical or spherical particles. Martin(1978), using this data proposed a model for the porosity profile. Catalytic reactors are usually packed by uniform size spherical or cylindrical...

Amin, Kaushik

2012-06-07T23:59:59.000Z

38

Building America Top Innovations 2013 Profile … HPXML: A Standardized Home Performance Data Sharing System  

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

home performance program tracking home performance program tracking systems and energy upgrade analysis software. Many software platforms are available for recording the results of home energy audits for energy-efficiency upgrades and for analyzing home energy performance. Because states and utilities have adopted different tools for compiling and analyzing the data, home performance companies that participate in multiple utility programs or operate over multiple regions need proficiency in each of the reporting platforms used. The necessity of being fluent in multiple programs and of providing results in numerous platforms dramatically increases the home performance companies' information technology infrastructure and training costs. The National Renewable Energy Laboratory (NREL) has supported the

39

PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications  

E-Print Network (OSTI)

-based nodes, and then provide in-depth analyses of the energy consumption of parallel applications on clusters and energy are primary concerns in modern high- performance computing system design. Operational costs power and energy consumption in high-performance systems, including each component's electrical

40

Building America Top Innovations 2013 Profile … HPXML: A Standardized Home Performance Data Sharing System  

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

program tracking systems and program tracking systems and energy upgrade analysis software. Many software platforms are available for recording the results of home energy audits for energy-efficiency upgrades and for analyzing home energy performance. Because states and utilities have adopted different tools for compiling and analyzing the data, home performance companies that participate in multiple utility programs or operate over multiple regions need proficiency in each of the reporting platforms used. The necessity of being fluent in multiple programs and of providing results in numerous platforms dramatically increases the home performance companies' information technology infrastructure and training costs. The National Renewable Energy Laboratory (NREL) has supported the

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Building America Top Innovations Hall of Fame Profile … High-Performance Home Cost Performance Trade-Offs Production Builders  

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

projects with production builders have demonstrated projects with production builders have demonstrated that high-performance homes experience significant cost trade-offs that offset other cost increases. This proved transformational, gaining builder traction with related market-based programs like ENERGY STAR for Homes and DOE Challenge Home. "Break points" or cost trade-offs that are identified during the engineering analysis of the residential construction process can yield two types of business savings: 1) reductions in costs of warranty and call-back service; and 2) offsets or "credits" attributed to reductions in other construction costs. The tables below show examples of cost and savings trade-offs experienced by Building America projects in hot-dry and cold climates. Energy-Efficiency

42

Predicting Battery Pack Thermal and Electrical Performance in a Vehicle Using Realistic Drive Cycle Power Profiles  

Science Journals Connector (OSTI)

The heat generated during battery charge and discharge cycles is a major ... issue, particularly since the performance of a battery depends on its operating temperature. As a consequence, robust thermal managemen...

Allen Curran; Scott Peck

2013-01-01T23:59:59.000Z

43

Building America Top Innovations Hall of Fame Profile … Reduced Call-Backs with High-Performance Production Builders  

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

When Grupe of Stockton, California, worked When Grupe of Stockton, California, worked with Building America to build 144 energy- efficient homes in its Carsten Crossings development, the site superintendent said he had the lowest call-back rate of any community he had worked on. He credited the third-party HERS inspections and testing for keeping the quality of work high and catching problems before move-in (Dakin et al. 2008). BUILDING AMERICA TOP INNOVATIONS HALL OF FAME PROFILE INNOVATIONS CATEGORY: 2. House-as-a-System Solutions 2.1 New Homes with Whole-House Packages Reduced Call-Backs with High-Performance Production Builders It is essential to engage production builders to successfully transform the market to high-performance homes. Building America has effectively addressed this

44

Building America Top Innovations 2013 Profile … High-Performance Furnace Blowers  

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

Annual Fuel Utilization Annual Fuel Utilization Efficiency [AFUE] and Seasonal Energy Efficiency Ratio [SEER] and at real installed conditions. A testing program was undertaken at two laboratories to compare the performance of furnace blowers over a range of static pressure differences that included standard rating points and measured field test pressures. Three different combinations of blowers and residential furnaces were tested. The laboratory test results for blower power and airflow were combined with DOE2 models of building loads, models of air conditioner performance, standby power, and igniter, and combustion air blower power to determine potential energy and peak demand impacts. BUILDING TECHNOLOGIES OFFICE Recognizing Top Innovations in Building Science - The U.S. Department of Energy's

45

Performance of Heat Pump Water Heaters: Initial Findings of Draw Profile Effect on HPWH Efficiency  

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

Performance of Heat Pump Water Heaters Performance of Heat Pump Water Heaters © 2011 Steven Winter Associates, Inc. All rights reserved. © 2011 Steven Winter Associates, Inc. All rights reserved. Evaluation Overview  2000-2002 Evaluated 20 installations with CL&P  Product had problems; not ready for prime time (average COPs of 1.67 was not the problem)  New batch of heaters available, including:  GE's GeoSpring Hybrid (50 gal)  A.O.Smith's Voltex Hybrid (60 & 80 gal)  Stiebel-Eltron's Accelera 300 (80 gal)  Evaluating 14 installations for National Grid, NSTAR, & Cape Light Compact. © 2011 Steven Winter Associates, Inc. All rights reserved. © 2011 Steven Winter Associates, Inc. All rights reserved.

46

Building America Top Innovations 2013 Profile … High-Performance Furnace Blowers  

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

annual fuel utilization annual fuel utilization efficiency (AFUE) and seasonal energy efficiency ratio (SEER) and at real installed conditions. A testing program was undertaken at two laboratories to compare the performance of furnace blowers over a range of static pressure differences that included standard rating points and measured field test pressures. Three different combinations of blowers and residential furnaces were tested. The laboratory test results for blower power and airflow were combined with DOE2 models of building loads, models of air conditioner performance, standby power, and igniter and combustion air blower power to determine potential energy and peak demand impacts. BUILDING TECHNOLOGIES OFFICE Recognizing Top Innovations in Building Science - The U.S. Department of Energy's

47

1  

Gasoline and Diesel Fuel Update (EIA)

Performance Performance Profiles of Major Energy Producers 2009 February 2011 DOE/EIA-0206(09) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2009 February 2011 U.S. Energy Information Administration Office of Energy Statistics U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies.

48

Reverse Engineering and Analysis of Genome-Wide Gene Regulatory Networks from Gene Expression Profiles Using High-Performance Computing  

Science Journals Connector (OSTI)

Regulation of gene expression is a carefully regulated phenomenon in the cell. "Reverse-engineering algorithms try to reconstruct the regulatory interactions among genes from genome-scale measurements of gene expression profiles (microarrays). ... Keywords: Reverse engineering, gene regulatory network, clustering algorithm, parallel computing.

Vincenzo Belcastro; Francesco Gregoretti; Velia Siciliano; Michele Santoro; Giovanni D'Angelo; Gennaro Oliva; Diego di Bernardo

2012-05-01T23:59:59.000Z

49

Dependence of recycling and edge profiles on lithium evaporation in high triangularity, high performance NSTX H-mode discharges  

E-Print Network (OSTI)

1 Dependence of recycling and edge profiles on lithium evaporation in high triangularity, high between discharges in NSTX, partly to reduce recycling. Reduced D emissions from the lower and upper of the recycling light, improvements in global confinement16-19 , along with the appearance of ELM-free regimes20

Princeton Plasma Physics Laboratory

50

Effect of diborane profile on the photovoltaic performance of A-Si:H solar cells prepared by glow discharge of disilane  

SciTech Connect

Extra high speed preparation of Al/nip/SnO/sub 2// ITO/Glass solar cells from disilane is presented. The effect of graded boron-doping during the i-layer deposition has been investigated on the performance of amorphous Si:H solar cells. It is found that the characteristics of cells strongly depend on the graded doping profile of diborane and the high efficiency of 8.05 % (AMl, 0.25 cm/sup 2/) was obtained with the linear graded doping profile at the deposition rate of 17 A/s. Moreover, in order to confirm the graded boron-doping effect, the theoretical analysis was carried out.

Konagai, M.; Komori, K.; Matsushita, T.; Sichanugrist, P.; Takahashi, K.

1984-05-01T23:59:59.000Z

51

Building America Top Innovations Hall of Fame Profile … Affordable High Performance in Production Homes: Artistic Homes, Albuquerque, NM  

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

help from Building America, Artistic help from Building America, Artistic Homes built affordable, high-performance homes in New Mexico and Colorado with HERS scores of 0 to 60. Many builders remain resistant to adopting high-performance innovations based on misconceptions about high cost and design challenges. Thus, Building America projects such as Artistic Homes have had an extraordinary impact, demonstrating the mainstream builder's business case for adopting proven innovations such as efficient thermal enclosures and ducts inside the conditioned space, even in entry-level homes. The U.S. Department of Energy's Building America program has helped develop best practices for creating efficient thermal enclosures and locating HVAC ducts inside the conditioned space. These measures cost-effectively reduce heating and

52

Building America Top Innovations Hall of Fame Profile … High Performance Without Increased Cost: Urbane Homes, Louiseville KY  

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

Urbane's first Urbane's first home, built for $36 per ft 2 in 2008, incorporated both energy efficiency and strategies to reduce building costs. The home won two EnergyValue Housing Awards, and homebuyers began seeking out the builder for energy-efficient, high-quality homes. Building America field projects that demonstrated minimal or cost-neutral impacts for high-performance homes have significantly influenced the housing industry to apply advanced technologies and best practices. In 2006, the U.S. Department of Energy's Building America program set a goal of proving that cost-neutral energy savings of 40% over code were possible at a production scale for new home builders in every U.S. climate zone. Between 2005 and 2010, Building America research partners worked with 34 builders to

53

Building America Top Innovations Hall of Fame Profile … Community Scale High-Performance with Solar: Pulte Homes, Tucson, AZ  

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

Pulte Homes' Civano project in Tucson, Pulte Homes' Civano project in Tucson, Arizona, is one of the few communities in the United States to integrate passive and active solar with a comprehensive building science strategy. Many builders remain resistant to adopting high-performance innovations based on misconceptions about high cost and design challenges. Thus, Building America projects such as Pulte Homes' Civano project in Tucson, Arizona, have an extraordinary impact, demonstrating the business case for adopting proven energy-efficiency measures along with solar energy systems for an entire community. Building America has shown in numerous field demonstrations that critical economies of scale and maximum energy benefits can be realized when production builders select energy-efficiency

54

Optimality Measures for Performance Profiles  

E-Print Network (OSTI)

Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois 60439. ({more ..... Of course, in this case the Mangasarian-

55

Building America Top Innovations Hall of Fame Profile Building Americas Top Innovations Propel the Home Building Industry toward Higher Performance  

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

This Building America Innovations profile describes the concept for the U.S. Department of Energy Building Americas Top Innovations.

56

Math Library Performance  

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

Math Library Performance Math Library Performance Fully optimizing a given application's performance often requires a deep understand of the source, an accurate profile for a...

57

People Profiles  

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

What Is NIF? How NIF Works Seven Wonders Beamline NIF Construction Who Works for NIF & PS? People Profiles Management Awards Honors Fellows Who Partners with NIF? FAQs Visit Us...

58

gprof Profiling Tools | Argonne Leadership Computing Facility  

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

Tuning MPI on BG/Q Tuning and Analysis Utilities (TAU) HPCToolkit HPCTW mpiP gprof Profiling Tools Darshan PAPI BG/Q Performance Counters BGPM Openspeedshop Scalasca BG/Q DGEMM Performance Software & Libraries IBM References Intrepid/Challenger/Surveyor Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] gprof Profiling Tools Contents Introduction Profiling on the Blue Gene Enabling Profiling Collecting Profile Information Profiling Threaded Applications Using gprof Routine Level Flat Profile Line Level Flat Profile Call Graph Analysis Routine Execution Count List Annotated Source Listing Issues in Interpreting Profile Data Profiling Concepts Programs in Memory

59

Neuropsychological Profile of Stuttering Children  

Science Journals Connector (OSTI)

The purpose of this study was to analyze the cognitive profile of stuttering children. A sample of 290 children was ... classified as stutterers. In general, performance in stuttering children was similar to the ...

Alfredo Ardila; Mnica Rosselli

2000-06-01T23:59:59.000Z

60

Mentee Profile  

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

Mentee Profile Mentee Profile The information you provide on this form will assist us in providing you with a list of prospective mentor from which to choose the most appropriate match. Once you've completed the form, please email it to doementoringprogram@hq.doe.gov . Thank you for your interest in the DOE Mentoring Program. Name (last/first): Phone Number: Job Title/Series/Grade: Organization (indicate HQ or field - complete address): Email Address: Are you a Veteran? If yes, do want a veteran mentee? If yes, which branch of the service? Are you student or intern? Do you have a preference on mentor? For example, male, female, particular career field, specific person or other? If so, what or who? Do you want a mentor in your career field? What are your career goals?

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Mentor Profile  

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

Mentor Profile Mentor Profile The information you provide on this form will assist us in providing you with a list of prospective mentee from which to choose the most appropriate match. Once you've completed the form, please email it to doementoringprogram@hq.doe.gov . Thank you for your interest in the DOE Mentoring Program. Name (last/first): Phone Number: Job Title/Series/Grade: Organization (indicate HQ or field - complete address): Email Address: Are you a Veteran? If yes, do want a veteran mentee? If yes, which branch of the service? Do you want a student or intern mentee? Do you have a preference on mentee? For example, male, female, particular career field or other? If so, what or state name of pre selected mentee? Do you want a mentee in your career field? What are your hobbies?

62

Mentor Profile  

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

Entrepreneurship Team Building Developing Others Vision Problem Solving Executing Strategy External Awareness Accountability Political Savvy Improving Organizational Performance...

63

Spaceborne profiling of atmospheric temperature and particle extinction with pure rotational Raman lidar and of relative humidity in combination with differential absorption lidar: performance simulations  

SciTech Connect

The performance of a spaceborne temperature lidar based on the pure rotational Raman (RR) technique in the UV has been simulated. Results show that such a system deployed onboard a low-Earth-orbit satellite would provide global-scale clear-sky temperature measurements in the troposphere and lower stratosphere with precisions that satisfy World Meteorological Organization (WMO) threshold observational requirements for numerical weather prediction and climate research applications. Furthermore, nighttime temperature measurements would still be within the WMO threshold observational requirements in the presence of several cloud structures. The performance of aerosol extinction measurements from space, which can be carried out simultaneously with temperature measurements by RR lidar, is also assessed. Furthermore, we discuss simulations of relative humidity measurements from space obtained from RR temperature measurements and water-vapor data measured with the differential absorption lidar (DIAL) technique.

Di Girolamo, Paolo; Behrendt, Andreas; Wulfmeyer, Volker

2006-04-10T23:59:59.000Z

64

Building America Top Innovations Hall of Fame Profile … High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA  

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

95 homes in Premier Gardens are 95 homes in Premier Gardens are equipped with photovoltaic panels that take advantage of solar energy to offset peak power loads during the hottest part of the day. As the housing market continues to evolve toward zero net-energy ready homes, Building America research has provided essential guidance for integrating renewable energy systems with high-performance homes and showing how they align with utility peak-demand reduction interests. Solar photovoltaic technology is an attractive option for utilities because they can reduce reliance on fossil-fuel energy. More significantly, it reduces peak demand because systems produce the most power on sunny summer afternoons coincident with the highest demand for air conditioning. Photovoltaic systems have been a part of several research projects conducted by

65

Building America Top Innovations Hall of Fame Profile … Building Americas Top Innovations Propel the Home Building Industry toward Higher Performance  

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

sponsored by the U.S. Department of Energy's (DOE's) sponsored by the U.S. Department of Energy's (DOE's) Building America program and its teams of building science experts continue to have a transforming impact, leading our nation's home building industry to high-performance homes. The U.S. home building industry represents a significant opportunity for energy savings, accounting for nearly one-fourth of U.S. energy consumption, but the industry as a whole has been slow to adopt new energy-saving technologies. This is largely due to the industry's unique disaggregation, with thousands of small business owners lacking adequate resources and capabilities to invest in research and development. DOE established the Building America program in 1995 to address both the huge energy-saving opportunity and the critical research gap

66

2012 ARPA-E Energy Innovation Summit: Profiling City University of New York (CUNY): Reinventing Batteries for Grid Storage (Performer Video)  

ScienceCinema (OSTI)

The third annual ARPA-E Energy Innovation Summit was held in Washington D.C. in February, 2012. The event brought together key players from across the energy ecosystem - researchers, entrepreneurs, investors, corporate executives, and government officials - to share ideas for developing and deploying the next generation of energy technologies. A few videos were selected for showing during the Summit to attendees. These 'performer videos' highlight innovative research that is ongoing and related to the main topics of the Summit's sessions. Featured in this video are Sanjoy Banerjee, Director of CUNY Energy Institute and Dan Steingart (Assistant Professor of Chemical Engineering, CUNY). The City University of New York's Energy Institute, with the help of ARPA-E funding, is creating safe, low cost, rechargeable, long lifecycle batteries that could be used as modular distributed storage for the electrical grid. The batteries could be used at the building level or the utility level to offer benefits such as capture of renewable energy, peak shaving and microgridding, for a safer, cheaper, and more secure electrical grid.

None Available

2012-03-21T23:59:59.000Z

67

EIA - State Nuclear Profiles  

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

Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy...

68

EIA - State Nuclear Profiles  

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

Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw)...

69

EIA - State Nuclear Profiles  

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

Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer...

70

EIA - State Nuclear Profiles  

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

Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer...

71

Project Profile: High-Performance Nanostructured Coating  

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

The University of California San Diego, under the 2012 SunShot Concentrating Solar Power (CSP) R&D funding opportunity announcement (FOA), is developing a new low-cost and scalable process for fabricating spectrally selective coatings (SSCs) to be used in solar absorbers for high-temperature CSP systems.

72

IPM Profiling Tool at NERSC  

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

IPM IPM IPM Description and Overview IPM is a portable profiling infrastructure which provide a high level report on the execution of a parallel job. IPM reports hardware counters data, MPI function timings, and memory usage. It provides a low overhead means to generate scaling studies or performance data for ERCAP submissions. When you run a job using the IPM module you will get a performance summary (see below) to stdout as well as a web accessible summary of all your IPM jobs. The two main objectives of IPM are ease-of-use and scalability in performance analysis. Usage % module load ipm On HPC architectures that support shared libraries that's all you need to do. Once the module is loaded you can run as you normally and get a performance profile once the job has successfully completed. You do not

73

User_TalentProfile  

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

Accessing and Modifying Talent Profile Accessing and Modifying Talent Profile © 2011 SuccessFactors, Inc. - 1 - SuccessFactors Learning Confidential. All rights reserved. Job Aid: Accessing and Modifying Talent Profile Purpose The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile information. Task A. Access Talent Profile Enter the web address (URL) of the user application into your browser Address field and press the Enter key. Enter your user ID in the User ID textbox. Enter your password in the Password textbox. Click Sign In. Access Talent Profile 4 Steps Task A Add Information to Talent Profile Sections 5 Steps Task B Edit Talent Profile Sections

74

MODELING OF CHANGING ELECTRODE PROFILES  

SciTech Connect

A model for simulating the transient behavior of solid electrodes undergoing deposition or dissolution has been developed. The model accounts for ohmic drop, charge transfer overpotential, and mass transport limitations. The finite difference method, coupled with successive overrelaxation, was used as the basis of the solution technique. An algorithm was devised to overcome the computational instabilities associated with the calculations of the secondary and tertiary current distributions. Simulations were performed on several model electrode profiles: the sinusoid, the rounded corner, and the notch. Quantitative copper deposition data were obtained in a contoured rotating cylinder system, Sinusoidal cross-sections, machined on stainless steel cylinders, were used as model geometries, Kinetic parameters for use in the simulation were determined from polarization curves obtained on copper rotating cylinders, These parameters, along with other physical property and geometric data, were incorporated in simulations of growing sinusoidal profiles. The copper distributions on the sinusoidal cross-sections were measured and found to compare favorably with the simulated results. At low Wagner numbers the formation of a slight depression at the profile peak was predicted by the simulation and observed on the profile. At higher Wagner numbers, the simulated and experimental results showed that the formation of a depression was suppressed. This phenomenon was shown to result from the competition between ohmic drop and electrode curvature.

Prentice, Geoffrey Allen

1980-12-01T23:59:59.000Z

75

LANSCE | News & Media | Profiles  

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

Profiles Shea Mosby: Lighting the way for nuclear science discoveries By Diana Del Mauro ADEPS Communications Photos by Richard Robinson, IRM-CAS Shea Mosby Cradling a heavy...

76

EIA - State Electricity Profiles  

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

Electricity Profile 2012 Table 1. 2012 Summary statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity (megawatts)...

77

Management's Discussion & Analysis Profile  

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

7-26-2013. Management's Discussion & Analysis Profile The Bonneville Power Administration is a federal agency under the Department of Energy. BPA markets wholesale electrical power...

78

EIA - State Electricity Profiles  

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

Arkansas Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity...

79

EIA - State Electricity Profiles  

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

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

80

EIA - State Electricity Profiles  

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

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

EIA - State Electricity Profiles  

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

Wisconsin Electricity Profile 2010 Wisconsin profile Wisconsin Electricity Profile 2010 Wisconsin profile Table 1. 2010 Summary Statistics (Wisconsin) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 17,836 23 Electric Utilities 13,098 19 Independent Power Producers & Combined Heat and Power 4,738 20 Net Generation (megawatthours) 64,314,067 24 Electric Utilities 45,579,970 22 Independent Power Producers & Combined Heat and Power 18,734,097 18 Emissions (thousand metric tons) Sulfur Dioxide 145 12 Nitrogen Oxide 49 25 Carbon Dioxide 47,238 19 Sulfur Dioxide (lbs/MWh) 5.0 9 Nitrogen Oxide (lbs/MWh) 1.7 20 Carbon Dioxide (lbs/MWh) 1,619 16 Total Retail Sales (megawatthours) 68,752,417 22 Full Service Provider Sales (megawatthours) 68,752,417 21

82

EIA - State Electricity Profiles  

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

Florida Electricity Profile 2010 Florida profile Florida Electricity Profile 2010 Florida profile Table 1. 2010 Summary Statistics (Florida) Item Value U.S. Rank NERC Region(s) FRCC/SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 59,147 3 Electric Utilities 50,853 1 Independent Power Producers & Combined Heat and Power 8,294 13 Net Generation (megawatthours) 229,095,935 3 Electric Utilities 206,062,185 1 Independent Power Producers & Combined Heat and Power 23,033,750 15 Emissions (thousand metric tons) Sulfur Dioxide 160 11 Nitrogen Oxide 101 5 Carbon Dioxide 123,811 2 Sulfur Dioxide (lbs/MWh) 1.5 37 Nitrogen Oxide (lbs/MWh) 1.0 35 Carbon Dioxide (lbs/MWh) 1,191 31 Total Retail Sales (megawatthours) 231,209,614 3 Full Service Provider Sales (megawatthours) 231,209,614 3

83

EIA - State Electricity Profiles  

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

Arizona Electricity Profile 2010 Arizona profile Arizona Electricity Profile 2010 Arizona profile Table 1. 2010 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,392 15 Electric Utilities 20,115 14 Independent Power Producers & Combined Heat and Power 6,277 16 Net Generation (megawatthours) 111,750,957 12 Electric Utilities 91,232,664 11 Independent Power Producers & Combined Heat and Power 20,518,293 17 Emissions (thousand metric tons) Sulfur Dioxide 33 33 Nitrogen Oxide 57 17 Carbon Dioxide 55,683 15 Sulfur Dioxide (lbs/MWh) 0.7 43 Nitrogen Oxide (lbs/MWh) 1.1 31 Carbon Dioxide (lbs/MWh) 1,099 35 Total Retail Sales (megawatthours) 72,831,737 21 Full Service Provider Sales (megawatthours) 72,831,737 20

84

EIA - State Electricity Profiles  

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

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

85

EIA - State Electricity Profiles  

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

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

86

EIA - State Electricity Profiles  

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

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

87

EIA - State Electricity Profiles  

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

Maryland Electricity Profile 2010 Maryland profile Maryland Electricity Profile 2010 Maryland profile Table 1. 2010 Summary Statistics (Maryland) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 12,516 33 Electric Utilities 80 47 Independent Power Producers & Combined Heat and Power 12,436 9 Net Generation (megawatthours) 43,607,264 33 Electric Utilities 2,996 48 Independent Power Producers & Combined Heat and Power 43,604,268 9 Emissions (thousand metric tons) Sulfur Dioxide 45 28 Nitrogen Oxide 25 34 Carbon Dioxide 26,369 33 Sulfur Dioxide (lbs/MWh) 2.3 29 Nitrogen Oxide (lbs/MWh) 1.3 29 Carbon Dioxide (lbs/MWh) 1,333 24 Total Retail Sales (megawatthours) 65,335,498 24 Full Service Provider Sales (megawatthours) 36,082,473 31

88

EIA - State Electricity Profiles  

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

Hawaii Electricity Profile 2010 Hawaii profile Hawaii Electricity Profile 2010 Hawaii profile Table 1. 2010 Summary Statistics (Hawaii) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Petroleum Net Summer Capacity (megawatts) 2,536 47 Electric Utilities 1,828 40 Independent Power Producers & Combined Heat and Power 708 47 Net Generation (megawatthours) 10,836,036 45 Electric Utilities 6,416,068 38 Independent Power Producers & Combined Heat and Power 4,419,968 38 Emissions (thousand metric tons) Sulfur Dioxide 17 36 Nitrogen Oxide 21 36 Carbon Dioxide 8,287 42 Sulfur Dioxide (lbs/MWh) 3.4 16 Nitrogen Oxide (lbs/MWh) 4.3 2 Carbon Dioxide (lbs/MWh) 1,686 13 Total Retail Sales (megawatthours) 10,016,509 48 Full Service Provider Sales (megawatthours) 10,016,509 44

89

EIA - State Electricity Profiles  

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

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

90

EIA - State Electricity Profiles  

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

Hampshire Electricity Profile 2010 New Hampshire profile Hampshire Electricity Profile 2010 New Hampshire profile Table 1. 2010 Summary Statistics (New Hampshire) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 4,180 43 Electric Utilities 1,132 41 Independent Power Producers & Combined Heat and Power 3,048 32 Net Generation (megawatthours) 22,195,912 42 Electric Utilities 3,979,333 41 Independent Power Producers & Combined Heat and Power 18,216,579 19 Emissions (thousand metric tons) Sulfur Dioxide 34 32 Nitrogen Oxide 6 46 Carbon Dioxide 5,551 43 Sulfur Dioxide (lbs/MWh) 3.4 17 Nitrogen Oxide (lbs/MWh) 0.6 46 Carbon Dioxide (lbs/MWh) 551 47 Total Retail Sales (megawatthours) 10,890,074 47 Full Service Provider Sales (megawatthours) 7,712,938 45

91

EIA - State Electricity Profiles  

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

Oregon Electricity Profile 2010 Oregon profile Oregon Electricity Profile 2010 Oregon profile Table 1. 2010 Summary Statistics (Oregon) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 14,261 29 Electric Utilities 10,846 27 Independent Power Producers & Combined Heat and Power 3,415 28 Net Generation (megawatthours) 55,126,999 27 Electric Utilities 41,142,684 26 Independent Power Producers & Combined Heat and Power 13,984,316 26 Emissions (thousand metric tons) Sulfur Dioxide 16 37 Nitrogen Oxide 15 42 Carbon Dioxide 10,094 40 Sulfur Dioxide (lbs/MWh) 0.6 44 Nitrogen Oxide (lbs/MWh) 0.6 47 Carbon Dioxide (lbs/MWh) 404 48 Total Retail Sales (megawatthours) 46,025,945 30 Full Service Provider Sales (megawatthours) 44,525,865 29

92

EIA - State Electricity Profiles  

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

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

93

EIA - State Electricity Profiles  

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

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawatthours) 49,687,166 26

94

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington Electricity Profile 2010 Washington profile Washington Electricity Profile 2010 Washington profile Table 1. 2010 Summary Statistics (Washington) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 30,478 10 Electric Utilities 26,498 5 Independent Power Producers & Combined Heat and Power 3,979 26 Net Generation (megawatthours) 103,472,729 15 Electric Utilities 88,057,219 14 Independent Power Producers & Combined Heat and Power 15,415,510 23 Emissions (thousand metric tons) Sulfur Dioxide 14 39 Nitrogen Oxide 21 37 Carbon Dioxide 13,984 39 Sulfur Dioxide (lbs/MWh) 0.3 47 Nitrogen Oxide (lbs/MWh) 0.4 50 Carbon Dioxide (lbs/MWh) 298 49 Total Retail Sales (megawatthours) 90,379,970 16 Full Service Provider Sales (megawatthours) 88,116,958 14

95

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

96

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

97

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

98

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

99

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Oklahoma Electricity Profile 2010 Oklahoma profile Oklahoma Electricity Profile 2010 Oklahoma profile Table 1. 2010 Summary Statistics (Oklahoma) Item Value U.S. Rank NERC Region(s) SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 21,022 20 Electric Utilities 16,015 18 Independent Power Producers & Combined Heat and Power 5,006 17 Net Generation (megawatthours) 72,250,733 22 Electric Utilities 57,421,195 17 Independent Power Producers & Combined Heat and Power 14,829,538 24 Emissions (thousand metric tons) Sulfur Dioxide 85 21 Nitrogen Oxide 71 12 Carbon Dioxide 49,536 17 Sulfur Dioxide (lbs/MWh) 2.6 24 Nitrogen Oxide (lbs/MWh) 2.2 11 Carbon Dioxide (lbs/MWh) 1,512 17 Total Retail Sales (megawatthours) 57,845,980 25 Full Service Provider Sales (megawatthours) 57,845,980 23

100

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Electricity Profile 2010 Iowa profile Iowa Electricity Profile 2010 Iowa profile Table 1. 2010 Summary Statistics (Iowa) Item Value U.S. Rank NERC Region(s) MRO/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 14,592 28 Electric Utilities 11,282 24 Independent Power Producers & Combined Heat and Power 3,310 30 Net Generation (megawatthours) 57,508,721 26 Electric Utilities 46,188,988 21 Independent Power Producers & Combined Heat and Power 11,319,733 30 Emissions (thousand metric tons) Sulfur Dioxide 108 18 Nitrogen Oxide 50 22 Carbon Dioxide 47,211 20 Sulfur Dioxide (lbs/MWh) 4.1 11 Nitrogen Oxide (lbs/MWh) 1.9 14 Carbon Dioxide (lbs/MWh) 1,810 10 Total Retail Sales (megawatthours) 45,445,269 31 Full Service Provider Sales (megawatthours) 45,445,269 28

Note: This page contains sample records for the topic "uc-950 performance profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

West Virginia Electricity Profile 2010 West Virginia profile West Virginia Electricity Profile 2010 West Virginia profile Table 1. 2010 Summary Statistics (West Virginia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 16,495 24 Electric Utilities 11,719 21 Independent Power Producers & Combined Heat and Power 4,775 19 Net Generation (megawatthours) 80,788,947 20 Electric Utilities 56,719,755 18 Independent Power Producers & Combined Heat and Power 24,069,192 13 Emissions (thousand metric tons) Sulfur Dioxide 105 20 Nitrogen Oxide 49 23 Carbon Dioxide 74,283 12 Sulfur Dioxide (lbs/MWh) 2.9 20 Nitrogen Oxide (lbs/MWh) 1.3 25 Carbon Dioxide (lbs/MWh) 2,027 5 Total Retail Sales (megawatthours) 32,031,803 34 Full Service Provider Sales (megawatthours) 32,031,803 33

102

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont Electricity Profile 2010 Vermont profile Vermont Electricity Profile 2010 Vermont profile Table 1. 2010 Summary Statistics (Vermont) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 1,128 50 Electric Utilities 260 45 Independent Power Producers & Combined Heat and Power 868 43 Net Generation (megawatthours) 6,619,990 49 Electric Utilities 720,853 44 Independent Power Producers & Combined Heat and Power 5,899,137 35 Emissions (thousand metric tons) Sulfur Dioxide * 51 Nitrogen Oxide 1 50 Carbon Dioxide 8 51 Sulfur Dioxide (lbs/MWh) * 51 Nitrogen Oxide (lbs/MWh) 0.2 51 Carbon Dioxide (lbs/MWh) 3 51 Total Retail Sales (megawatthours) 5,594,833 51 Full Service Provider Sales (megawatthours) 5,594,833 48 Direct Use (megawatthours) 19,806 47

103

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawatthours) 49,687,166 26

104

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wisconsin Electricity Profile 2010 Wisconsin profile Wisconsin Electricity Profile 2010 Wisconsin profile Table 1. 2010 Summary Statistics (Wisconsin) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 17,836 23 Electric Utilities 13,098 19 Independent Power Producers & Combined Heat and Power 4,738 20 Net Generation (megawatthours) 64,314,067 24 Electric Utilities 45,579,970 22 Independent Power Producers & Combined Heat and Power 18,734,097 18 Emissions (thousand metric tons) Sulfur Dioxide 145 12 Nitrogen Oxide 49 25 Carbon Dioxide 47,238 19 Sulfur Dioxide (lbs/MWh) 5.0 9 Nitrogen Oxide (lbs/MWh) 1.7 20 Carbon Dioxide (lbs/MWh) 1,619 16 Total Retail Sales (megawatthours) 68,752,417 22 Full Service Provider Sales (megawatthours) 68,752,417 21

105

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Colorado Electricity Profile 2010 Colorado profile Colorado Electricity Profile 2010 Colorado profile Table 1. 2010 Summary Statistics (Colorado) Item Value U.S. Rank NERC Region(s) RFC/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 13,777 30 Electric Utilities 9,114 28 Independent Power Producers & Combined Heat and Power 4,662 22 Net Generation (megawatthours) 50,720,792 30 Electric Utilities 39,584,166 28 Independent Power Producers & Combined Heat and Power 11,136,626 31 Emissions (thousand metric tons) Sulfur Dioxide 45 29 Nitrogen Oxide 55 20 Carbon Dioxide 40,499 24 Sulfur Dioxide (lbs/MWh) 2.0 32 Nitrogen Oxide (lbs/MWh) 2.4 10 Carbon Dioxide (lbs/MWh) 1,760 12 Total Retail Sales (megawatthours) 52,917,786 27 Full Service Provider Sales (megawatthours) 52,917,786 24

106

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hampshire Electricity Profile 2010 New Hampshire profile Hampshire Electricity Profile 2010 New Hampshire profile Table 1. 2010 Summary Statistics (New Hampshire) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 4,180 43 Electric Utilities 1,132 41 Independent Power Producers & Combined Heat and Power 3,048 32 Net Generation (megawatthours) 22,195,912 42 Electric Utilities 3,979,333 41 Independent Power Producers & Combined Heat and Power 18,216,579 19 Emissions (thousand metric tons) Sulfur Dioxide 34 32 Nitrogen Oxide 6 46 Carbon Dioxide 5,551 43 Sulfur Dioxide (lbs/MWh) 3.4 17 Nitrogen Oxide (lbs/MWh) 0.6 46 Carbon Dioxide (lbs/MWh) 551 47 Total Retail Sales (megawatthours) 10,890,074 47 Full Service Provider Sales (megawatthours) 7,712,938 45

107

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

108

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nevada Electricity Profile 2010 Nevada profile Nevada Electricity Profile 2010 Nevada profile Table 1. 2010 Summary Statistics (Nevada) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 11,421 34 Electric Utilities 8,713 29 Independent Power Producers & Combined Heat and Power 2,708 33 Net Generation (megawatthours) 35,146,248 38 Electric Utilities 23,710,917 34 Independent Power Producers & Combined Heat and Power 11,435,331 29 Emissions (thousand metric tons) Sulfur Dioxide 7 44 Nitrogen Oxide 15 40 Carbon Dioxide 17,020 38 Sulfur Dioxide (lbs/MWh) 0.4 46 Nitrogen Oxide (lbs/MWh) 1.0 37 Carbon Dioxide (lbs/MWh) 1,068 37 Total Retail Sales (megawatthours) 33,772,595 33 Full Service Provider Sales (megawatthours) 32,348,879 32

109

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kansas Electricity Profile 2010 Kansas profile Kansas Electricity Profile 2010 Kansas profile Table 1. 2010 Summary Statistics (Kansas) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 12,543 32 Electric Utilities 11,732 20 Independent Power Producers & Combined Heat and Power 812 45 Net Generation (megawatthours) 47,923,762 32 Electric Utilities 45,270,047 24 Independent Power Producers & Combined Heat and Power 2,653,716 44 Emissions (thousand metric tons) Sulfur Dioxide 41 30 Nitrogen Oxide 46 26 Carbon Dioxide 36,321 26 Sulfur Dioxide (lbs/MWh) 1.9 33 Nitrogen Oxide (lbs/MWh) 2.1 13 Carbon Dioxide (lbs/MWh) 1,671 14 Total Retail Sales (megawatthours) 40,420,675 32 Full Service Provider Sales (megawatthours) 40,420,675 30

110

EIA - State Electricity Profiles  

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

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

111

EIA - State Electricity Profiles  

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

Missouri Electricity Profile 2010 Missouri profile Missouri Electricity Profile 2010 Missouri profile Table 1. 2010 Summary Statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 21,739 18 Electric Utilities 20,360 12 Independent Power Producers & Combined Heat and Power 1,378 39 Net Generation (megawatthours) 92,312,989 18 Electric Utilities 90,176,805 12 Independent Power Producers & Combined Heat and Power 2,136,184 46 Emissions (thousand metric tons) Sulfur Dioxide 233 8 Nitrogen Oxide 56 18 Carbon Dioxide 78,815 10 Sulfur Dioxide (lbs/MWh) 5.6 6 Nitrogen Oxide (lbs/MWh) 1.3 26 Carbon Dioxide (lbs/MWh) 1,882 7 Total Retail Sales (megawatthours) 86,085,117 17 Full Service Provider Sales (megawatthours) 86,085,117 15

112

EIA - State Electricity Profiles  

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

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

113

EIA - State Electricity Profiles  

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

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

114

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

115

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Utah Electricity Profile 2010 Utah profile Utah Electricity Profile 2010 Utah profile Table 1. 2010 Summary Statistics (Utah) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,497 39 Electric Utilities 6,648 32 Independent Power Producers & Combined Heat and Power 849 44 Net Generation (megawatthours) 42,249,355 35 Electric Utilities 39,522,124 29 Independent Power Producers & Combined Heat and Power 2,727,231 43 Emissions (thousand metric tons) Sulfur Dioxide 25 34 Nitrogen Oxide 68 13 Carbon Dioxide 35,519 27 Sulfur Dioxide (lbs/MWh) 1.3 38 Nitrogen Oxide (lbs/MWh) 3.6 4 Carbon Dioxide (lbs/MWh) 1,853 9 Total Retail Sales (megawatthours) 28,044,001 37 Full Service Provider Sales (megawatthours) 28,044,001 36

116

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Virginia Electricity Profile 2010 Virginia profile Virginia Electricity Profile 2010 Virginia profile Table 1. 2010 Summary Statistics (Virginia) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 24,109 16 Electric Utilities 19,434 15 Independent Power Producers & Combined Heat and Power 4,676 21 Net Generation (megawatthours) 72,966,456 21 Electric Utilities 58,902,054 16 Independent Power Producers & Combined Heat and Power 14,064,402 25 Emissions (thousand metric tons) Sulfur Dioxide 120 16 Nitrogen Oxide 49 24 Carbon Dioxide 39,719 25 Sulfur Dioxide (lbs/MWh) 3.6 15 Nitrogen Oxide (lbs/MWh) 1.5 23 Carbon Dioxide (lbs/MWh) 1,200 30 Total Retail Sales (megawatthours) 113,806,135 10 Full Service Provider Sales (megawatthours) 113,806,135 7

117

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

118

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alaska Electricity Profile 2010 Alaska profile Alaska Electricity Profile 2010 Alaska profile Table 1. 2010 Summary Statistics (Alaska) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Gas Net Summer Capacity (megawatts) 2,067 48 Electric Utilities 1,889 39 Independent Power Producers & Combined Heat and Power 178 51 Net Generation (megawatthours) 6,759,576 48 Electric Utilities 6,205,050 40 Independent Power Producers & Combined Heat and Power 554,526 49 Emissions (thousand metric tons) Sulfur Dioxide 3 46 Nitrogen Oxide 16 39 Carbon Dioxide 4,125 46 Sulfur Dioxide (lbs/MWh) 1.0 41 Nitrogen Oxide (lbs/MWh) 5.2 1 Carbon Dioxide (lbs/MWh) 1,345 23 Total Retail Sales (megawatthours) 6,247,038 50 Full Service Provider Sales (megawatthours) 6,247,038 47

119

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

120

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maryland Electricity Profile 2010 Maryland profile Maryland Electricity Profile 2010 Maryland profile Table 1. 2010 Summary Statistics (Maryland) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 12,516 33 Electric Utilities 80 47 Independent Power Producers & Combined Heat and Power 12,436 9 Net Generation (megawatthours) 43,607,264 33 Electric Utilities 2,996 48 Independent Power Producers & Combined Heat and Power 43,604,268 9 Emissions (thousand metric tons) Sulfur Dioxide 45 28 Nitrogen Oxide 25 34 Carbon Dioxide 26,369 33 Sulfur Dioxide (lbs/MWh) 2.3 29 Nitrogen Oxide (lbs/MWh) 1.3 29 Carbon Dioxide (lbs/MWh) 1,333 24 Total Retail Sales (megawatthours) 65,335,498 24 Full Service Provider Sales (megawatthours) 36,082,473 31

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

York Electricity Profile 2010 New York profile York Electricity Profile 2010 New York profile Table 1. 2010 Summary Statistics (New York) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 39,357 6 Electric Utilities 11,032 25 Independent Power Producers & Combined Heat and Power 28,325 5 Net Generation (megawatthours) 136,961,654 9 Electric Utilities 34,633,335 31 Independent Power Producers & Combined Heat and Power 102,328,319 5 Emissions (thousand metric tons) Sulfur Dioxide 62 25 Nitrogen Oxide 44 28 Carbon Dioxide 41,584 22 Sulfur Dioxide (lbs/MWh) 1.0 40 Nitrogen Oxide (lbs/MWh) 0.7 44 Carbon Dioxide (lbs/MWh) 669 42 Total Retail Sales (megawatthours) 144,623,573 7 Full Service Provider Sales (megawatthours) 79,119,769 18

122

EIA - State Electricity Profiles  

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

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

123

EIA - State Electricity Profiles  

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

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

124

EIA - State Electricity Profiles  

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

Iowa Electricity Profile 2010 Iowa profile Iowa Electricity Profile 2010 Iowa profile Table 1. 2010 Summary Statistics (Iowa) Item Value U.S. Rank NERC Region(s) MRO/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 14,592 28 Electric Utilities 11,282 24 Independent Power Producers & Combined Heat and Power 3,310 30 Net Generation (megawatthours) 57,508,721 26 Electric Utilities 46,188,988 21 Independent Power Producers & Combined Heat and Power 11,319,733 30 Emissions (thousand metric tons) Sulfur Dioxide 108 18 Nitrogen Oxide 50 22 Carbon Dioxide 47,211 20 Sulfur Dioxide (lbs/MWh) 4.1 11 Nitrogen Oxide (lbs/MWh) 1.9 14 Carbon Dioxide (lbs/MWh) 1,810 10 Total Retail Sales (megawatthours) 45,445,269 31 Full Service Provider Sales (megawatthours) 45,445,269 28

125

EIA - State Electricity Profiles  

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

Illinois Electricity Profile 2010 Illinois profile Illinois Electricity Profile 2010 Illinois profile Table 1. 2010 Summary Statistics (Illinois) Item Value U.S. Rank NERC Region(s) MRO/RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 44,127 5 Electric Utilities 4,800 35 Independent Power Producers & Combined Heat and Power 39,327 3 Net Generation (megawatthours) 201,351,872 5 Electric Utilities 12,418,332 35 Independent Power Producers & Combined Heat and Power 188,933,540 3 Emissions (thousand metric tons) Sulfur Dioxide 232 9 Nitrogen Oxide 83 8 Carbon Dioxide 103,128 6 Sulfur Dioxide (lbs/MWh) 2.5 25 Nitrogen Oxide (lbs/MWh) 0.9 38 Carbon Dioxide (lbs/MWh) 1,129 34 Total Retail Sales (megawatthours) 144,760,674 6 Full Service Provider Sales (megawatthours) 77,890,532 19

126

EIA - State Electricity Profiles  

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

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

127

EIA - State Electricity Profiles  

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

California Electricity Profile 2010 California profile California Electricity Profile 2010 California profile Table 1. 2010 Summary Statistics (California) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 67,328 2 Electric Utilities 28,689 2 Independent Power Producers & Combined Heat and Power 38,639 4 Net Generation (megawatthours) 204,125,596 4 Electric Utilities 96,939,535 8 Independent Power Producers & Combined Heat and Power 107,186,061 4 Emissions (thousand metric tons) Sulfur Dioxide 3 47 Nitrogen Oxide 80 9 Carbon Dioxide 55,406 16 Sulfur Dioxide (lbs/MWh) * 49 Nitrogen Oxide (lbs/MWh) 0.9 41 Carbon Dioxide (lbs/MWh) 598 46 Total Retail Sales (megawatthours) 258,525,414 2 Full Service Provider Sales (megawatthours) 240,948,673 2

128

EIA - State Electricity Profiles  

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

Dakota Electricity Profile 2010 South Dakota profile Dakota Electricity Profile 2010 South Dakota profile Table 1. 2010 Summary Statistics (South Dakota) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,623 45 Electric Utilities 2,994 37 Independent Power Producers & Combined Heat and Power 629 48 Net Generation (megawatthours) 10,049,636 46 Electric Utilities 8,682,448 36 Independent Power Producers & Combined Heat and Power 1,367,188 47 Emissions (thousand metric tons) Sulfur Dioxide 12 43 Nitrogen Oxide 12 43 Carbon Dioxide 3,611 47 Sulfur Dioxide (lbs/MWh) 2.6 23 Nitrogen Oxide (lbs/MWh) 2.6 8 Carbon Dioxide (lbs/MWh) 792 41 Total Retail Sales (megawatthours) 11,356,149 46 Full Service Provider Sales (megawatthours) 11,356,149 42

129

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Electricity Profile 2010 New Jersey profile Jersey Electricity Profile 2010 New Jersey profile Table 1. 2010 Summary Statistics (New Jersey) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 18,424 22 Electric Utilities 460 43 Independent Power Producers & Combined Heat and Power 17,964 6 Net Generation (megawatthours) 65,682,494 23 Electric Utilities -186,385 50 Independent Power Producers & Combined Heat and Power 65,868,878 6 Emissions (thousand metric tons) Sulfur Dioxide 14 40 Nitrogen Oxide 15 41 Carbon Dioxide 19,160 37 Sulfur Dioxide (lbs/MWh) 0.5 45 Nitrogen Oxide (lbs/MWh) 0.5 48 Carbon Dioxide (lbs/MWh) 643 43 Total Retail Sales (megawatthours) 79,179,427 20 Full Service Provider Sales (megawatthours) 50,482,035 25

130

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Electricity Profile 2010 Massachusetts profile Massachusetts Electricity Profile 2010 Massachusetts profile Table 1. 2010 Summary Statistics (Massachusetts) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 13,697 31 Electric Utilities 937 42 Independent Power Producers & Combined Heat and Power 12,760 8 Net Generation (megawatthours) 42,804,824 34 Electric Utilities 802,906 43 Independent Power Producers & Combined Heat and Power 42,001,918 10 Emissions (thousand metric tons) Sulfur Dioxide 35 31 Nitrogen Oxide 17 38 Carbon Dioxide 20,291 36 Sulfur Dioxide (lbs/MWh) 1.8 34 Nitrogen Oxide (lbs/MWh) 0.9 39 Carbon Dioxide (lbs/MWh) 1,045 38 Total Retail Sales (megawatthours) 57,123,422 26 Full Service Provider Sales (megawatthours) 31,822,942 34

131

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

132

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

133

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

134

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas Electricity Profile 2010 Texas profile Texas Electricity Profile 2010 Texas profile Table 1. 2010 Summary Statistics (Texas) Item Value U.S. Rank NERC Region(s) SERC/SPP/TRE/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 108,258 1 Electric Utilities 26,533 4 Independent Power Producers & Combined Heat and Power 81,724 1 Net Generation (megawatthours) 411,695,046 1 Electric Utilities 95,099,161 9 Independent Power Producers & Combined Heat and Power 316,595,885 1 Emissions (thousand metric tons) Sulfur Dioxide 430 2 Nitrogen Oxide 204 1 Carbon Dioxide 251,409 1 Sulfur Dioxide (lbs/MWh) 2.3 28 Nitrogen Oxide (lbs/MWh) 1.1 32 Carbon Dioxide (lbs/MWh) 1,346 22 Total Retail Sales (megawatthours) 358,457,550 1 Full Service Provider Sales (megawatthours) 358,457,550 1

135

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Florida Electricity Profile 2010 Florida profile Florida Electricity Profile 2010 Florida profile Table 1. 2010 Summary Statistics (Florida) Item Value U.S. Rank NERC Region(s) FRCC/SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 59,147 3 Electric Utilities 50,853 1 Independent Power Producers & Combined Heat and Power 8,294 13 Net Generation (megawatthours) 229,095,935 3 Electric Utilities 206,062,185 1 Independent Power Producers & Combined Heat and Power 23,033,750 15 Emissions (thousand metric tons) Sulfur Dioxide 160 11 Nitrogen Oxide 101 5 Carbon Dioxide 123,811 2 Sulfur Dioxide (lbs/MWh) 1.5 37 Nitrogen Oxide (lbs/MWh) 1.0 35 Carbon Dioxide (lbs/MWh) 1,191 31 Total Retail Sales (megawatthours) 231,209,614 3 Full Service Provider Sales (megawatthours) 231,209,614 3

136

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hawaii Electricity Profile 2010 Hawaii profile Hawaii Electricity Profile 2010 Hawaii profile Table 1. 2010 Summary Statistics (Hawaii) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Petroleum Net Summer Capacity (megawatts) 2,536 47 Electric Utilities 1,828 40 Independent Power Producers & Combined Heat and Power 708 47 Net Generation (megawatthours) 10,836,036 45 Electric Utilities 6,416,068 38 Independent Power Producers & Combined Heat and Power 4,419,968 38 Emissions (thousand metric tons) Sulfur Dioxide 17 36 Nitrogen Oxide 21 36 Carbon Dioxide 8,287 42 Sulfur Dioxide (lbs/MWh) 3.4 16 Nitrogen Oxide (lbs/MWh) 4.3 2 Carbon Dioxide (lbs/MWh) 1,686 13 Total Retail Sales (megawatthours) 10,016,509 48 Full Service Provider Sales (megawatthours) 10,016,509 44

137

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Electricity Profile 2010 Connecticut profile Connecticut Electricity Profile 2010 Connecticut profile Table 1. 2010 Summary Statistics (Connecticut) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 8,284 35 Electric Utilities 160 46 Independent Power Producers & Combined Heat and Power 8,124 15 Net Generation (megawatthours) 33,349,623 40 Electric Utilities 65,570 45 Independent Power Producers & Combined Heat and Power 33,284,053 11 Emissions (thousand metric tons) Sulfur Dioxide 2 48 Nitrogen Oxide 7 45 Carbon Dioxide 9,201 41 Sulfur Dioxide (lbs/MWh) 0.1 48 Nitrogen Oxide (lbs/MWh) 0.5 49 Carbon Dioxide (lbs/MWh) 608 45 Total Retail Sales (megawatthours) 30,391,766 35 Full Service Provider Sales (megawatthours) 13,714,958 40

138

EIA - State Electricity Profiles  

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

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

139

profiles | OpenEI  

Open Energy Info (EERE)

profiles profiles Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

140

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Idaho Electricity Profile 2010 Idaho profile Idaho Electricity Profile 2010 Idaho profile Table 1. 2010 Summary Statistics (Idaho) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,990 44 Electric Utilities 3,035 36 Independent Power Producers & Combined Heat and Power 955 42 Net Generation (megawatthours) 12,024,564 44 Electric Utilities 8,589,208 37 Independent Power Producers & Combined Heat and Power 3,435,356 40 Emissions (thousand metric tons) Sulfur Dioxide 7 45 Nitrogen Oxide 4 48 Carbon Dioxide 1,213 49 Sulfur Dioxide (lbs/MWh) 1.2 39 Nitrogen Oxide (lbs/MWh) 0.8 43 Carbon Dioxide (lbs/MWh) 222 50 Total Retail Sales (megawatthours) 22,797,668 38 Full Service Provider Sales (megawatthours) 22,797,668 37

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Electricity Profile 2010 California profile California Electricity Profile 2010 California profile Table 1. 2010 Summary Statistics (California) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 67,328 2 Electric Utilities 28,689 2 Independent Power Producers & Combined Heat and Power 38,639 4 Net Generation (megawatthours) 204,125,596 4 Electric Utilities 96,939,535 8 Independent Power Producers & Combined Heat and Power 107,186,061 4 Emissions (thousand metric tons) Sulfur Dioxide 3 47 Nitrogen Oxide 80 9 Carbon Dioxide 55,406 16 Sulfur Dioxide (lbs/MWh) * 49 Nitrogen Oxide (lbs/MWh) 0.9 41 Carbon Dioxide (lbs/MWh) 598 46 Total Retail Sales (megawatthours) 258,525,414 2 Full Service Provider Sales (megawatthours) 240,948,673 2

142

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 South Carolina profile Carolina Electricity Profile 2010 South Carolina profile Table 1. 2010 Summary Statistics (South Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 23,982 17 Electric Utilities 22,172 9 Independent Power Producers & Combined Heat and Power 1,810 35 Net Generation (megawatthours) 104,153,133 14 Electric Utilities 100,610,887 6 Independent Power Producers & Combined Heat and Power 3,542,246 39 Emissions (thousand metric tons) Sulfur Dioxide 106 19 Nitrogen Oxide 30 33 Carbon Dioxide 41,364 23 Sulfur Dioxide (lbs/MWh) 2.2 30 Nitrogen Oxide (lbs/MWh) 0.6 45 Carbon Dioxide (lbs/MWh) 876 40 Total Retail Sales (megawatthours) 82,479,293 19 Full Service Provider Sales (megawatthours) 82,479,293 17

143

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

District of Columbia Electricity Profile 2010 District of Columbia profile District of Columbia Electricity Profile 2010 District of Columbia profile Table 1. 2010 Summary Statistics (District of Columbia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Petroleum Net Summer Capacity (megawatts) 790 51 Independent Power Producers & Combined Heat and Power 790 46 Net Generation (megawatthours) 199,858 51 Independent Power Producers & Combined Heat and Power 199,858 51 Emissions (thousand metric tons) Sulfur Dioxide 1 49 Nitrogen Oxide * 51 Carbon Dioxide 191 50 Sulfur Dioxide (lbs/MWh) 8.8 2 Nitrogen Oxide (lbs/MWh) 4.0 3 Carbon Dioxide (lbs/MWh) 2,104 1 Total Retail Sales (megawatthours) 11,876,995 43 Full Service Provider Sales (megawatthours) 3,388,490 50 Energy-Only Provider Sales (megawatthours) 8,488,505 12

144

EIA - State Electricity Profiles  

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

Virginia Electricity Profile 2010 Virginia profile Virginia Electricity Profile 2010 Virginia profile Table 1. 2010 Summary Statistics (Virginia) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 24,109 16 Electric Utilities 19,434 15 Independent Power Producers & Combined Heat and Power 4,676 21 Net Generation (megawatthours) 72,966,456 21 Electric Utilities 58,902,054 16 Independent Power Producers & Combined Heat and Power 14,064,402 25 Emissions (thousand metric tons) Sulfur Dioxide 120 16 Nitrogen Oxide 49 24 Carbon Dioxide 39,719 25 Sulfur Dioxide (lbs/MWh) 3.6 15 Nitrogen Oxide (lbs/MWh) 1.5 23 Carbon Dioxide (lbs/MWh) 1,200 30 Total Retail Sales (megawatthours) 113,806,135 10 Full Service Provider Sales (megawatthours) 113,806,135 7

145

EIA - State Electricity Profiles  

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

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

146

EIA - State Electricity Profiles  

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

Colorado Electricity Profile 2010 Colorado profile Colorado Electricity Profile 2010 Colorado profile Table 1. 2010 Summary Statistics (Colorado) Item Value U.S. Rank NERC Region(s) RFC/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 13,777 30 Electric Utilities 9,114 28 Independent Power Producers & Combined Heat and Power 4,662 22 Net Generation (megawatthours) 50,720,792 30 Electric Utilities 39,584,166 28 Independent Power Producers & Combined Heat and Power 11,136,626 31 Emissions (thousand metric tons) Sulfur Dioxide 45 29 Nitrogen Oxide 55 20 Carbon Dioxide 40,499 24 Sulfur Dioxide (lbs/MWh) 2.0 32 Nitrogen Oxide (lbs/MWh) 2.4 10 Carbon Dioxide (lbs/MWh) 1,760 12 Total Retail Sales (megawatthours) 52,917,786 27 Full Service Provider Sales (megawatthours) 52,917,786 24

147

EIA - State Electricity Profiles  

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

Kansas Electricity Profile 2010 Kansas profile Kansas Electricity Profile 2010 Kansas profile Table 1. 2010 Summary Statistics (Kansas) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 12,543 32 Electric Utilities 11,732 20 Independent Power Producers & Combined Heat and Power 812 45 Net Generation (megawatthours) 47,923,762 32 Electric Utilities 45,270,047 24 Independent Power Producers & Combined Heat and Power 2,653,716 44 Emissions (thousand metric tons) Sulfur Dioxide 41 30 Nitrogen Oxide 46 26 Carbon Dioxide 36,321 26 Sulfur Dioxide (lbs/MWh) 1.9 33 Nitrogen Oxide (lbs/MWh) 2.1 13 Carbon Dioxide (lbs/MWh) 1,671 14 Total Retail Sales (megawatthours) 40,420,675 32 Full Service Provider Sales (megawatthours) 40,420,675 30

148

EIA - State Electricity Profiles  

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

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

149

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

150

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

151

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

152

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

153

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

154

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Indiana) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,837 14...

155

EIA - State Electricity Profiles  

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

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,587...

156

EIA - State Electricity Profiles  

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

Connecticut Electricity Profile 2010 Connecticut profile Connecticut Electricity Profile 2010 Connecticut profile Table 1. 2010 Summary Statistics (Connecticut) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 8,284 35 Electric Utilities 160 46 Independent Power Producers & Combined Heat and Power 8,124 15 Net Generation (megawatthours) 33,349,623 40 Electric Utilities 65,570 45 Independent Power Producers & Combined Heat and Power 33,284,053 11 Emissions (thousand metric tons) Sulfur Dioxide 2 48 Nitrogen Oxide 7 45 Carbon Dioxide 9,201 41 Sulfur Dioxide (lbs/MWh) 0.1 48 Nitrogen Oxide (lbs/MWh) 0.5 49 Carbon Dioxide (lbs/MWh) 608 45 Total Retail Sales (megawatthours) 30,391,766 35 Full Service Provider Sales (megawatthours) 13,714,958 40

157

EIA - State Electricity Profiles  

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

Utah Electricity Profile 2010 Utah profile Utah Electricity Profile 2010 Utah profile Table 1. 2010 Summary Statistics (Utah) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,497 39 Electric Utilities 6,648 32 Independent Power Producers & Combined Heat and Power 849 44 Net Generation (megawatthours) 42,249,355 35 Electric Utilities 39,522,124 29 Independent Power Producers & Combined Heat and Power 2,727,231 43 Emissions (thousand metric tons) Sulfur Dioxide 25 34 Nitrogen Oxide 68 13 Carbon Dioxide 35,519 27 Sulfur Dioxide (lbs/MWh) 1.3 38 Nitrogen Oxide (lbs/MWh) 3.6 4 Carbon Dioxide (lbs/MWh) 1,853 9 Total Retail Sales (megawatthours) 28,044,001 37 Full Service Provider Sales (megawatthours) 28,044,001 36

158

EIA - State Electricity Profiles  

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

Carolina Electricity Profile 2010 South Carolina profile Carolina Electricity Profile 2010 South Carolina profile Table 1. 2010 Summary Statistics (South Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 23,982 17 Electric Utilities 22,172 9 Independent Power Producers & Combined Heat and Power 1,810 35 Net Generation (megawatthours) 104,153,133 14 Electric Utilities 100,610,887 6 Independent Power Producers & Combined Heat and Power 3,542,246 39 Emissions (thousand metric tons) Sulfur Dioxide 106 19 Nitrogen Oxide 30 33 Carbon Dioxide 41,364 23 Sulfur Dioxide (lbs/MWh) 2.2 30 Nitrogen Oxide (lbs/MWh) 0.6 45 Carbon Dioxide (lbs/MWh) 876 40 Total Retail Sales (megawatthours) 82,479,293 19 Full Service Provider Sales (megawatthours) 82,479,293 17

159

EIA - State Electricity Profiles  

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

Alaska Electricity Profile 2010 Alaska profile Alaska Electricity Profile 2010 Alaska profile Table 1. 2010 Summary Statistics (Alaska) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Gas Net Summer Capacity (megawatts) 2,067 48 Electric Utilities 1,889 39 Independent Power Producers & Combined Heat and Power 178 51 Net Generation (megawatthours) 6,759,576 48 Electric Utilities 6,205,050 40 Independent Power Producers & Combined Heat and Power 554,526 49 Emissions (thousand metric tons) Sulfur Dioxide 3 46 Nitrogen Oxide 16 39 Carbon Dioxide 4,125 46 Sulfur Dioxide (lbs/MWh) 1.0 41 Nitrogen Oxide (lbs/MWh) 5.2 1 Carbon Dioxide (lbs/MWh) 1,345 23 Total Retail Sales (megawatthours) 6,247,038 50 Full Service Provider Sales (megawatthours) 6,247,038 47

160

EIA - State Electricity Profiles  

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

Nevada Electricity Profile 2010 Nevada profile Nevada Electricity Profile 2010 Nevada profile Table 1. 2010 Summary Statistics (Nevada) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 11,421 34 Electric Utilities 8,713 29 Independent Power Producers & Combined Heat and Power 2,708 33 Net Generation (megawatthours) 35,146,248 38 Electric Utilities 23,710,917 34 Independent Power Producers & Combined Heat and Power 11,435,331 29 Emissions (thousand metric tons) Sulfur Dioxide 7 44 Nitrogen Oxide 15 40 Carbon Dioxide 17,020 38 Sulfur Dioxide (lbs/MWh) 0.4 46 Nitrogen Oxide (lbs/MWh) 1.0 37 Carbon Dioxide (lbs/MWh) 1,068 37 Total Retail Sales (megawatthours) 33,772,595 33 Full Service Provider Sales (megawatthours) 32,348,879 32

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

EIA - State Electricity Profiles  

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

Washington Electricity Profile 2010 Washington profile Washington Electricity Profile 2010 Washington profile Table 1. 2010 Summary Statistics (Washington) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 30,478 10 Electric Utilities 26,498 5 Independent Power Producers & Combined Heat and Power 3,979 26 Net Generation (megawatthours) 103,472,729 15 Electric Utilities 88,057,219 14 Independent Power Producers & Combined Heat and Power 15,415,510 23 Emissions (thousand metric tons) Sulfur Dioxide 14 39 Nitrogen Oxide 21 37 Carbon Dioxide 13,984 39 Sulfur Dioxide (lbs/MWh) 0.3 47 Nitrogen Oxide (lbs/MWh) 0.4 50 Carbon Dioxide (lbs/MWh) 298 49 Total Retail Sales (megawatthours) 90,379,970 16 Full Service Provider Sales (megawatthours) 88,116,958 14

162

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Oregon Electricity Profile 2010 Oregon profile Oregon Electricity Profile 2010 Oregon profile Table 1. 2010 Summary Statistics (Oregon) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 14,261 29 Electric Utilities 10,846 27 Independent Power Producers & Combined Heat and Power 3,415 28 Net Generation (megawatthours) 55,126,999 27 Electric Utilities 41,142,684 26 Independent Power Producers & Combined Heat and Power 13,984,316 26 Emissions (thousand metric tons) Sulfur Dioxide 16 37 Nitrogen Oxide 15 42 Carbon Dioxide 10,094 40 Sulfur Dioxide (lbs/MWh) 0.6 44 Nitrogen Oxide (lbs/MWh) 0.6 47 Carbon Dioxide (lbs/MWh) 404 48 Total Retail Sales (megawatthours) 46,025,945 30 Full Service Provider Sales (megawatthours) 44,525,865 29

163

EIA - State Electricity Profiles  

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

Texas Electricity Profile 2010 Texas profile Texas Electricity Profile 2010 Texas profile Table 1. 2010 Summary Statistics (Texas) Item Value U.S. Rank NERC Region(s) SERC/SPP/TRE/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 108,258 1 Electric Utilities 26,533 4 Independent Power Producers & Combined Heat and Power 81,724 1 Net Generation (megawatthours) 411,695,046 1 Electric Utilities 95,099,161 9 Independent Power Producers & Combined Heat and Power 316,595,885 1 Emissions (thousand metric tons) Sulfur Dioxide 430 2 Nitrogen Oxide 204 1 Carbon Dioxide 251,409 1 Sulfur Dioxide (lbs/MWh) 2.3 28 Nitrogen Oxide (lbs/MWh) 1.1 32 Carbon Dioxide (lbs/MWh) 1,346 22 Total Retail Sales (megawatthours) 358,457,550 1 Full Service Provider Sales (megawatthours) 358,457,550 1

164

EIA - State Electricity Profiles  

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

Indiana Electricity Profile 2010 Indiana profile Indiana Electricity Profile 2010 Indiana profile Table 1. 2010 Summary Statistics (Indiana) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,638 13 Electric Utilities 23,008 8 Independent Power Producers & Combined Heat and Power 4,630 23 Net Generation (megawatthours) 125,180,739 11 Electric Utilities 107,852,560 5 Independent Power Producers & Combined Heat and Power 17,328,179 20 Emissions (thousand metric tons) Sulfur Dioxide 385 4 Nitrogen Oxide 120 4 Carbon Dioxide 116,283 5 Sulfur Dioxide (lbs/MWh) 6.8 4 Nitrogen Oxide (lbs/MWh) 2.1 12 Carbon Dioxide (lbs/MWh) 2,048 4 Total Retail Sales (megawatthours) 105,994,376 11 Full Service Provider Sales (megawatthours) 105,994,376 8

165

EIA - State Electricity Profiles  

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

Oklahoma Electricity Profile 2010 Oklahoma profile Oklahoma Electricity Profile 2010 Oklahoma profile Table 1. 2010 Summary Statistics (Oklahoma) Item Value U.S. Rank NERC Region(s) SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 21,022 20 Electric Utilities 16,015 18 Independent Power Producers & Combined Heat and Power 5,006 17 Net Generation (megawatthours) 72,250,733 22 Electric Utilities 57,421,195 17 Independent Power Producers & Combined Heat and Power 14,829,538 24 Emissions (thousand metric tons) Sulfur Dioxide 85 21 Nitrogen Oxide 71 12 Carbon Dioxide 49,536 17 Sulfur Dioxide (lbs/MWh) 2.6 24 Nitrogen Oxide (lbs/MWh) 2.2 11 Carbon Dioxide (lbs/MWh) 1,512 17 Total Retail Sales (megawatthours) 57,845,980 25 Full Service Provider Sales (megawatthours) 57,845,980 23

166

EIA - State Electricity Profiles  

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

Jersey Electricity Profile 2010 New Jersey profile Jersey Electricity Profile 2010 New Jersey profile Table 1. 2010 Summary Statistics (New Jersey) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 18,424 22 Electric Utilities 460 43 Independent Power Producers & Combined Heat and Power 17,964 6 Net Generation (megawatthours) 65,682,494 23 Electric Utilities -186,385 50 Independent Power Producers & Combined Heat and Power 65,868,878 6 Emissions (thousand metric tons) Sulfur Dioxide 14 40 Nitrogen Oxide 15 41 Carbon Dioxide 19,160 37 Sulfur Dioxide (lbs/MWh) 0.5 45 Nitrogen Oxide (lbs/MWh) 0.5 48 Carbon Dioxide (lbs/MWh) 643 43 Total Retail Sales (megawatthours) 79,179,427 20 Full Service Provider Sales (megawatthours) 50,482,035 25

167

EIA - State Electricity Profiles  

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

Idaho Electricity Profile 2010 Idaho profile Idaho Electricity Profile 2010 Idaho profile Table 1. 2010 Summary Statistics (Idaho) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,990 44 Electric Utilities 3,035 36 Independent Power Producers & Combined Heat and Power 955 42 Net Generation (megawatthours) 12,024,564 44 Electric Utilities 8,589,208 37 Independent Power Producers & Combined Heat and Power 3,435,356 40 Emissions (thousand metric tons) Sulfur Dioxide 7 45 Nitrogen Oxide 4 48 Carbon Dioxide 1,213 49 Sulfur Dioxide (lbs/MWh) 1.2 39 Nitrogen Oxide (lbs/MWh) 0.8 43 Carbon Dioxide (lbs/MWh) 222 50 Total Retail Sales (megawatthours) 22,797,668 38 Full Service Provider Sales (megawatthours) 22,797,668 37

168

State Nuclear Profiles 2010  

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

State Nuclear Profiles 2010 State Nuclear Profiles 2010 April 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. U.S. Energy Information Administration | State Nuclear Profiles 2010 i Contacts This report was prepared by the staff of the Renewables and Uranium Statistics Team, Office of Electricity,

169

The Influence of Turbulence and Vertical Wind Profile in Wind Turbine Power Curve  

Science Journals Connector (OSTI)

To identify the influence of turbulence and vertical wind profile in wind turbine performance, wind speed measurements at different heights have been ... equipment, specifically a pulsed wave one. The wind profil...

A. Honrubia; A. Vigueras-Rodrguez

2012-01-01T23:59:59.000Z

170

Doppler Radar Wind Profiles Iwan Holleman (holleman@knmi.nl)  

E-Print Network (OSTI)

is required before it can be presented to users or assimilated into numerical weather prediction (NWP) models Institute (KNMI), The Netherlands ABSTRACT Doppler weather radars can be employed to determine wind profiles profiles has been performed at KNMI. The verification results indicate that weather radars can provide high

Stoffelen, Ad

171

EIA - State Nuclear Profiles  

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

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

172

EIA - State Nuclear Profiles  

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

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

173

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

174

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

175

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

176

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Nuclear Profile 2010 Connecticut profile Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409 1.2 Total 8,284 100.0 33,350 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

177

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031 22.1 296 0.7 Total 13,697 100.0 42,805 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

178

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

179

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

180

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

182

EIA - State Nuclear Profiles  

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

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

183

EIA - State Nuclear Profiles  

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

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

184

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

185

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

186

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

187

EIA - State Nuclear Profiles  

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

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

188

EIA - State Nuclear Profiles  

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

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

189

EIA - State Nuclear Profiles  

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

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

190

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Nuclear Profile 2010 Louisiana profile Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3 3,281 3.2 Total 26,744 100.0 102,885 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

191

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Illinois Nuclear Profile 2010 Illinois profile Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110 0.1 Total 44,127 100.0 201,352 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

192

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

193

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Nuclear Profile 2010 Iowa profile Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

194

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

195

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

196

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Nuclear Profile 2010 Nebraska profile Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

197

EIA - State Nuclear Profiles  

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

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

198

EIA - State Nuclear Profiles  

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

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

199

EIA - State Nuclear Profiles  

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

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

200

EIA - State Nuclear Profiles  

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

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

EIA - State Nuclear Profiles  

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

Ohio Nuclear Profile 2010 Ohio profile Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total 33,071 100.0 143,598 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

202

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

203

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

204

EIA - State Nuclear Profiles  

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

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

205

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

206

EIA - State Nuclear Profiles  

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

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

207

EIA - State Nuclear Profiles  

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

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

208

EIA - State Nuclear Profiles  

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

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

209

EIA - State Nuclear Profiles  

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

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

210

EIA - State Nuclear Profiles  

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

Connecticut Nuclear Profile 2010 Connecticut profile Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409 1.2 Total 8,284 100.0 33,350 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

211

EIA - State Nuclear Profiles  

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

York Nuclear Profile 2010 New York profile York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3 2,005 1.5 Total 39,357 100.0 136,962 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

212

EIA - State Nuclear Profiles  

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

Nebraska Nuclear Profile 2010 Nebraska profile Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

213

Process for forming retrograde profiles in silicon  

DOE Patents (OSTI)

A process is disclosed for forming retrograde and oscillatory profiles in crystalline and polycrystalline silicon. The process consisting of introducing an n- or p-type dopant into the silicon, or using prior doped silicon, then exposing the silicon to multiple pulses of a high-intensity laser or other appropriate energy source that melts the silicon for short time duration. Depending on the number of laser pulses directed at the silicon, retrograde profiles with peak/surface dopant concentrations which vary are produced. The laser treatment can be performed in air or in vacuum, with the silicon at room temperature or heated to a selected temperature.

Weiner, K.H.; Sigmon, T.W.

1996-10-15T23:59:59.000Z

214

Process for forming retrograde profiles in silicon  

DOE Patents (OSTI)

A process for forming retrograde and oscillatory profiles in crystalline and polycrystalline silicon. The process consisting of introducing an n- or p-type dopant into the silicon, or using prior doped silicon, then exposing the silicon to multiple pulses of a high-intensity laser or other appropriate energy source that melts the silicon for short time duration. Depending on the number of laser pulses directed at the silicon, retrograde profiles with peak/surface dopant concentrations which vary from 1-1e4 are produced. The laser treatment can be performed in air or in vacuum, with the silicon at room temperature or heated to a selected temperature.

Weiner, Kurt H. (San Jose, CA); Sigmon, Thomas W. (Phoenix, AZ)

1996-01-01T23:59:59.000Z

215

Performance Tools & APIs | Argonne Leadership Computing Facility  

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

Data Storage & File Systems Compiling & Linking Queueing & Running Jobs Data Transfer Debugging & Profiling Performance Tools & APIs Tuning MPI on BGQ Tuning and Analysis...

216

Debugging & Profiling | Argonne Leadership Computing Facility  

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

Debugging & Profiling Debugging & Profiling Allinea DDT Core File Settings Determining Memory Use Using VNC with a Debugger bgq_stack gdb Coreprocessor TotalView on BG/Q Systems Performance Tools & APIs Software & Libraries IBM References Intrepid/Challenger/Surveyor Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Debugging & Profiling Initial setups Core file settings - this page contains some environment variables that allow you to control code file creation and contents. Using VNC with a Debugger - when displaying an X11 client (e.g. Totalview) remotely over the network, interactive response is typically slow. Using the VNC server can often help you improve the situation.

217

Commercial Building Profiles | OpenEI  

Open Energy Info (EERE)

Building Profiles Building Profiles Dataset Summary Description This dataset includes simulation results from a national-scale study of the commercial buildings sector. Electric load profiles contain the hour-by-hour demand for electricity for each building. Summary tables describe individual buildings and their overall annual energy performance. The study developed detailed EnergyPlus models for 4,820 different samples in 2003 CBECS. Simulation output is available for all and organized by CBECS's identification number in public use datasets. Three modeling scenarios are available: existing stock (with 2003 historical weather), stock as if rebuilt new (with typical weather), and the stock if rebuilt using maximum efficiency technology (with typical weather). The following reports describe how the dataset was developed:

218

EIA - State Electricity Profiles  

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

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

219

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

220

Chemical profiles of switchgrass  

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

profiles profiles of switchgrass Zhoujian Hu a,b , Robert Sykes a,c , Mark F. Davis a,c , E. Charles Brummer a,d , Arthur J. Ragauskas a,b,e, * a BioEnergy Science Center, USA b School of Chemistry and Biochemistry, Institute of Paper Science and Technology, Georgia Institute of Technology, Atlanta, GA 30332, USA c National Renewable Energy Laboratory, 1617 Cole Blvd., Golden, CO 80401, USA d Institute for Plant Breeding, Genetics, and Genomics, Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA e Forest Products and Chemical Engineering Department, Chemical and Biological Engineering, Chalmers University of Technology, SE-412 96 Göteborg, Sweden a r t i c l e i n f o Article history: Received 15 April 2009 Received in revised form 10 December 2009 Accepted 10 December 2009 Available online 13 January 2010 Keywords: Switchgrass Morphological components Chemical

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Temperature profile detector  

DOE Patents (OSTI)

Disclosed is a temperature profile detector shown as a tubular enclosure surrounding an elongated electrical conductor having a plurality of meltable conductive segments surrounding it. Duplicative meltable segments are spaced apart from one another along the length of the enclosure. Electrical insulators surround these elements to confine molten material from the segments in bridging contact between the conductor and a second electrical conductor, which might be the confining tube. The location and rate of growth of the resulting short circuits between the two conductors can be monitored by measuring changes in electrical resistance between terminals at both ends of the two conductors. Additional conductors and separate sets of meltable segments operational at differing temperatures can be monitored simultaneously for measuring different temperature profiles. 8 figs.

Tokarz, R.D.

1983-10-11T23:59:59.000Z

222

NOTES ON NEUTRON DEPTH PROFILING  

E-Print Network (OSTI)

NOTES ON NEUTRON DEPTH PROFILING by J.K. Shultis Department of Mechanical and Nuclear Engineering College of Engineering Kansas State University Manhattan, Kansas 66506 Dec. 2003 #12;Notes on Neutron Depth Profiling J. Kenneth Shultis December 2003 1 Introduction The purpose of neutron depth profiling

Shultis, J. Kenneth

223

Project Cost Profile Spreadsheet | Department of Energy  

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

Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet.xlsx More Documents & Publications Statement of Work (SOW) Template (Combined...

224

Texas Crop Profile: Potatoes  

E-Print Network (OSTI)

175 pounds of nitrogen, 80 pounds of phosphorus, and 80 pounds of potassium. Potassium is generally not needed in the High Plains, although many growers apply it. Texas Crop Profile P O T A T O E S E-19 3-00 Prepared by Kent D. Hall, Rodney L. Holloway..., following drag-off or after potato plants have fully emerged. Controls weeds by disrupting growth process during germination. Does not control established weeds. State Contacts Rodney L. Holloway Extension Specialist 2488 TAMU College Station, Texas 77843...

Hall, Kent D.; Holloway, Rodney L.; Smith, Dudley

2000-04-12T23:59:59.000Z

225

Profile for Wanyi Nie  

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

polymerfullerene blend with the aid of nanostructures and the influence towards optoelectronic device performance Education Ph.D., Department of Physics, Wake Forest University,...

226

Profiling an application for power consumption during execution on a compute node  

DOE Patents (OSTI)

Methods, apparatus, and products are disclosed for profiling an application for power consumption during execution on a compute node that include: receiving an application for execution on a compute node; identifying a hardware power consumption profile for the compute node, the hardware power consumption profile specifying power consumption for compute node hardware during performance of various processing operations; determining a power consumption profile for the application in dependence upon the application and the hardware power consumption profile for the compute node; and reporting the power consumption profile for the application.

Archer, Charles J; Blocksome, Michael A; Peters, Amanda E; Ratterman, Joseph D; Smith, Brian E

2013-09-17T23:59:59.000Z

227

EIA - State Nuclear Profiles  

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

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

228

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wisconsin profile Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

229

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas profile Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0 411,695 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

230

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

231

EIA - State Nuclear Profiles  

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

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

232

EIA - State Nuclear Profiles  

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

Tennessee profile Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

233

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

234

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

South Carolina profile South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982 100.0 104,153 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported.

235

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

236

EIA - State Nuclear Profiles  

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

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

237

EIA - State Nuclear Profiles  

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

South Carolina profile South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982 100.0 104,153 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported.

238

EIA - State Nuclear Profiles  

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

Wisconsin profile Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

239

Performance Tools Jonathan Carter NUG October 2008 Meeting Overview  

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

Profiling and Profiling and Performance Tools Jonathan Carter NUG October 2008 Meeting Overview * Why use profiling and performance tools? * What information can tools provide? * Tools available - IPM - Craypat - Apprentice2 * Recommendations Why use profiling tools? * Understand and improve application performance - Computation and communication * Determine application concurrency sweet spot * ERCAP Considerations * How much time will profiling experiments take? - Use appropriate data volumes and concurrencies - Tradeoff of science vs. tuning * Interpreting data - Some data is easy to interpret, e.g. MPI_Barrier() time - Other data requires a performance model to understand whether a measurement is good or bad * Tool Robustness - Increased data volume and concurrency increases chance of tool failure Information from Tools

240

Approximate Stokes Drift Profiles in Deep Water  

Science Journals Connector (OSTI)

A deep-water approximation of the Stokes drift velocity profile is explored as an alternative to the monochromatic profile. The alternative profile investigated relies on the same two quantities required for the monochromatic profile, namely, the ...

yvind Breivik; Peter A. E. M. Janssen; Jean-Raymond Bidlot

2014-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

. Income Expenditure Assets Liabilities http://www.fin.mmu.ac.uk/f18_001b.htm06/07/2004 13:02:41 #12;5 Year Financial Profile - Charts - Income 5 Year Financial Profile Charts Income Back http://www.fin.mmu.ac.uk/f18 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_001d.htm06/07/2004 13:02:52 #12;5 Year

242

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

. Income Expenditure Assets Liabilities http://www.fin.mmu.ac.uk/f18_0029.htm06/07/2004 13:01:23 #12;5 Year Financial Profile - Charts - Income 5 Year Financial Profile Charts Income Back http://www.fin.mmu.ac.uk/f18 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_002d.htm06/07/2004 13:01:34 #12;5 Year

243

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

. Income Expenditure Assets Liabilities & Reserves http://www.fin.mmu.ac.uk/f18_0067.htm06/07/2004 13 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_006b.htm06/07/2004 13:04:46 #12;5 Year Financial Profile - Charts - Assets 5 Year Financial Profile Charts Assets Back http://www.fin.mmu.ac.uk/f18

244

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

. Income Expenditure Assets Liabilities & Reserves http://www.fin.mmu.ac.uk/f18_0079.htm06/07/2004 13 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_007b.htm06/07/2004 13:05:59 #12;5 Year Financial Profile - Charts - Assets 5 Year Financial Profile Charts Assets Back http://www.fin.mmu.ac.uk/f18

245

Beam Profile Monitor With Accurate Horizontal And Vertical Beam Profiles  

DOE Patents (OSTI)

A widely used scanner device that rotates a single helically shaped wire probe in and out of a particle beam at different beamline positions to give a pair of mutually perpendicular beam profiles is modified by the addition of a second wire probe. As a result, a pair of mutually perpendicular beam profiles is obtained at a first beamline position, and a second pair of mutually perpendicular beam profiles is obtained at a second beamline position. The simple modification not only provides more accurate beam profiles, but also provides a measurement of the beam divergence and quality in a single compact device.

Havener, Charles C [Knoxville, TN; Al-Rejoub, Riad [Oak Ridge, TN

2005-12-26T23:59:59.000Z

246

Compton Profile Study of Intermetallic Ti{sub 3}Al  

SciTech Connect

The Compton scattering measurement on intermetallic alloy Ti{sub 3}Al is reported in this work. The measurement is made using 59.54 keV gamma-rays from Am{sup 241} source. Theoretical calculation of Compton profile is also performed employing CRYSTAL code within the framework of density functional theory to compare with the measurement. The theoretical profile of the alloy is also synthesized following the superposition model taking the published Compton profiles of elemental solids from the APW method. The experimental study of charge transfer in the alloys has also been done by performing the experimental Compton profile measurements on Ti and Al following the superposition model and charge transfer from Al to Ti is clearly seen on the alloy formation.

Vyas, V.; Sharma, G. [Department of Physics, Banasthali University, Banasthali-304022 (India); Mishra, M. C.; Sharma, B. K. [Department of Physics, University of Rajasthan, Jaipur-302004 (India); Joshi, K. B. [Department of Physics, University College of Science, M.L.Sukhadia University, Udaipur-313 002 (India)

2011-10-20T23:59:59.000Z

247

Scholarship Search Profile Personal Information  

E-Print Network (OSTI)

Scholarship Search Profile Personal Information Name: ____________________________________ Address) ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ Work Experience: List most recent job first Employer/Company Name _______________________________________________________________ Reference: Name and telephone _____________________________________________ Employer/Company Name

Mather, Patrick T.

248

Evaluate Greenhouse Gas Emissions Profile  

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

Evaluating a Federal agency's greenhouse gas (GHG) emissions profile means getting a solid understanding of the organization's largest emission categories, largest emission sources, and its potential for improvement.

249

Physician Cost Profiling Reliability and Risk of Misclassification  

Science Journals Connector (OSTI)

...and reliability the proportion of variability in a measure that is due to real differences in performance. The use of episode-grouping tools is accepted as a valid means of constructing clinically homogeneous cost groups. With respect to cost profiling, validity indicates whether the method of assigning... Some insurance companies are offering patients incentives to choose lower-cost physicians. This study shows that the current methods used to generate physicians' cost profiles do not have high reliability and that the systems using these cost profiles to identify lower-cost physicians will incorrectly classify many physicians.

Adams J.L.Mehrotra A.Thomas J.W.McGlynn E.A.

2010-03-18T23:59:59.000Z

250

Math Library Performance  

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

Math Library Performance Math Library Performance Math Library Performance Fully optimizing a given application's performance often requires a deep understand of the source, an accurate profile for a representative run and the ability to have changes to the source accepted upstream. However, in many cases, significant performance gains can be achieved by simply optimizing the code over the matrix of possible compilers, compiler options and libraries available on a given machine. Here, we explore the performance variability of common materials science applications at NERSC with respect to the compilers and libraries available on Edison, NERSC's Cray XC30. NERSC currently supports compilers from three different vendors on the XC30 system, Edison: Intel, GNU and Cray. Materials science applications

251

DOE Solar Decathlon: News Blog » Profiles  

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

'Profiles' 'Profiles' Instrumentation for Dummies Sunday, September 29, 2013 By Alexis Powers If your head spins at the thought of 105 sensors collecting 12 data points every 15 minutes for all 19 houses competing in the U.S. Department of Energy Solar Decathlon 2013, you might want to pay a visit to Miss Barbara. This bodiless mannequin acts as the student liaison for the instrumentation team. Perhaps the steadiest head on the competition site, Miss Barbara helps student decathletes locate the instrumentation trailer when questions arise about measured contests. Photo of a mannequin's head looking out of a construction trailer's window. The unwavering gaze of Miss Barbara serves as a beacon for decathletes who are searching for answers related to monitored performance-and baked

252

Industrial SSP Partner Teaming Profile SWEPCO Intertape  

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

Industrial SPP / Partner Teaming Profile Industrial SPP / Partner Teaming Profile Industrial Partner Intertape Polymer Group 1101 Eagle Springs Rd. Danville, VA 24540 Business: Specialized Polyolefin Plastic/Paper Products Mike Jones Manager of Engineering Phone: 434-797-8359 Email: mbjones@itape.com Service/Product Provider Southwestern Petroleum Corporation 534 N. Main St Fort Worth, TX 76164 Business: High Performance Lubricants Paul J. Dickerson Senior Vice President & COO Phone: 817-348-7275 Email: pjd@swepcousa.com Southwestern Petroleum Corporation (SWEPCO) captures "low-hanging fruit" with superior lubricants for Intertape Polymer Project Scope SWEPCO analyzed four problematic gear boxes at the Intertape Polymer Group facility in Danville, VA, which over-heated and tripped the circuit due to high amperage overload. SWEPCO implemented

253

Performance Profiles Table Browser: T-1. Selected Financial Items  

Gasoline and Diesel Fuel Update (EIA)

Data - U.S. Energy Information Administration (EIA) Data - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels Includes hydropower, solar, wind, geothermal, biomass and ethanol.

254

Performance Profiles of Major Energy Producers - Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Analysis - U.S. Energy Information Administration (EIA) Analysis - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels Includes hydropower, solar, wind, geothermal, biomass and ethanol.

255

Building America Top Innovations 2013 Profile ? High-Performance...  

Energy Savers (EERE)

LBNL's work led to the creation of a standard for rating blowers, credits for the use of good blowers in Federal tax credit programs and energy codes, and consideration in current...

256

2012 ENVIRONMENTAL PERFORMANCE INDEX 61 Appendix I: Indicator Profiles  

E-Print Network (OSTI)

emissions per electricity generation CO2KWH Ecosystem Vitality Climate change Renewable electricity RENEW if it is private or shared (but not public) and if hygienically separates human excreta

Columbia University

257

High Performance Lipoprotein Profiling for Cardiovascular Risk Assessment  

E-Print Network (OSTI)

With the severity of cardiovascular disease (CVD) and the related mortality rate to this disease, new methods are necessary for risk assessment and treatment prior to the onset of the disease. The current paradigm in CVD risk assessment has shifted...

Larner, Craig

2012-10-19T23:59:59.000Z

258

Performance profiles of major energy producers 1995, January 1997  

SciTech Connect

This publication examines developments in the operations of the major U.S. energy-producing companies on a corporate level, by major line of business, by major function within each line of business, and by geographic area.

NONE

1997-02-01T23:59:59.000Z

259

Downstream Heat Flux Profile vs. Midplane T Profile in Tokamaks  

SciTech Connect

The relationship between the midplane scrape-off-layer electron temperature profile and the parallel heat flux profile at the divertor in tokamaks is investigated. A model is applied which takes into account anisotropic thermal diffusion, in a rectilinear geometry with constant density. Eigenmode analysis is applied to the simplified problem with constant thermal diffusivities. A self-similar nonlinear solution is found for the more realistic problem with anisotropically temperature-dependent thermal diffusivities. Numerical solutions are developed for both cases, with spatially dependent heat flux emerging from the plasma. For both constant and temperature-dependent thermal diffusivities it is found that, below about one-half of its peak, the heat flux profile shape at the divertor, compared with the midplane temperature profile shape, is robustly described by the simplest two-point model. However the physical processes are not those assumed in the simplest two-point model, nor is the numerical coefficient relating q||div to Tmp ?||mp/L|| as predicted. For realistic parameters the peak in the heat flux, moreover, can be reduced by a factor of two or more from the two-point model scaling which fits the remaining profile. For temperature profiles in the SOL region above the x-point set by marginal stability, the heat flux profile to the divertor can be largely decoupled from the prediction of the two-point model. These results suggest caveats for data interpretation, and possibly favorable outcomes for divertor configurations with extended field lines.

Robert J. Goldston

2009-08-20T23:59:59.000Z

260

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

Charts Income Back http://www.fin.mmu.ac.uk/f18_004b.htm06/07/2004 12:57:08 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_004c.htm06 http://www.fin.mmu.ac.uk/f18_004d.htm06/07/2004 12:57:19 #12;5 Year Financial Profile - Charts - zoom 5

Note: This page contains sample records for the topic "uc-950 performance profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

Charts Income Back http://www.fin.mmu.ac.uk/f18_008b.htm06/07/2004 12:51:21 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_008c.htm06 http://www.fin.mmu.ac.uk/f18_008d.htm06/07/2004 12:51:31 #12;5 Year Financial Profile - Charts - zoom 5

262

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

Charts Income Back http://www.fin.mmu.ac.uk/f18_010b.htm06/07/2004 10:57:23 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_010c.htm06 http://www.fin.mmu.ac.uk/f18_010d.htm06/07/2004 12:40:15 #12;5 Year Financial Profile - Charts - zoom 5

263

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network (OSTI)

. Income Expenditure Assets Liabilities Income Breakdown Expenditure Breakdown http://www.fin.mmu.ac.uk/f18 Charts Income Back http://www.fin.mmu.ac.uk/f18_005b.htm06/07/2004 13:00:29 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_005c.htm06

264

Evaluate Greenhouse Gas Emissions Profile | Department of Energy  

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

Emissions Profile Emissions Profile Evaluate Greenhouse Gas Emissions Profile October 7, 2013 - 10:14am Addthis Evaluating a Federal agency's greenhouse gas (GHG) emissions profile means getting a solid understanding of the organization's largest emission categories, largest emission sources, and its potential for improvement: Buildings Vehicles and mobile equipment Business travel Employee commuting. While the data required for annual GHG reporting are sufficient to establish an agency's overall emission inventory, these data are not typically enough information for effectively managing emissions. A detailed, bottom-up assessment can provide the foundation for much more robust Strategic Sustainability Performance Plans. Because detailed analyses of all assets can be time-intensive, strategic planning helps the

265

SPEAK UP, EPPING! COMMUNITY PROFILE  

E-Print Network (OSTI)

SPEAK UP, EPPING! COMMUNITY PROFILE REPORT Epping, New Hampshire April 14, 2007 #12;TABLE ............................................................................................. 21 6. Community Services, Facilities and Utilities........................................................................................................................... 38 1. Natural Resources & Environment 2. Communication 3. Infrastructure & Public Safety 4

New Hampshire, University of

266

Profile of Alec J. Jeffreys  

Science Journals Connector (OSTI)

Profile of Alec J. Jeffreys 10.1073/pnas.0603953103 Nick Zagorski As one of the great contributors to modern genetics...the forensic sciences. That achievement alone is worthy of merit, contributing to Jeffreys' receiving three high distinctions...

Nick Zagorski

2006-01-01T23:59:59.000Z

267

Energy Consumption Profile for Energy  

E-Print Network (OSTI)

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

268

Vibration of Tethered Microstructure Profilers  

Science Journals Connector (OSTI)

Although loosely tethered turbulence profilers have many advantages, they are prone to resonant vibrations at frequencies in the dissipation range when they are falling rapidly or when the tether is strummed. Using the Advanced Microstructure ...

Jack B. Miller; M. C. Gregg; Vernon W. Miller; Gordon L. Welsh

1989-12-01T23:59:59.000Z

269

JOBAID-ACCESSING AND MODIFYING TALENT PROFILE  

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

The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile...

270

Performance & Monitoring Tool Development Projects at NERSC  

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

Effective System Performance (ESP) Benchmark Sustained System Performance (SSP) Benchmark Petascale Initiative Science Gateway Development Storage and I/O Technologies Design Forward Home » R & D » Performance & Monitoring Tools Performance & Monitoring Tools In order for parallel computers to attain their best performance and utilization, careful attention is needed in monitoring workloads and system resources. Integrated Performance Monitoring There are many stakeholders in the performance of application codes. In order to provide NERSC users and center staff with a consistent, portable, and scalable view into performance, NERSC uses IPM (Integrated Performance Monitoring), a lightweight application profiling layer that captures summaries of computation, communication, and IO. The performance profiles

271

Compton profile study of polycrystalline ZnBr{sub 2}  

SciTech Connect

The first ever Compton profile study of polycrystalline ZnBr{sub 2} is presented in this paper. The measurement of polycrystalline sample of ZnBr{sub 2} is performed using 59.54 keV gamma-rays emanating from an {sup 241}Am radioisotope. Theoretical calculations are performed following the Ionic model calculations for a number of configurations Zn{sup +x}Br{sub 2}{sup -x/2}(0.0{<=}x{<=}2.0 in step of 0.5) utilizing free atom profiles. The ionic model suggest transfer of 2.0 electrons from 4 s state of Zn to 4 p state of two Br atoms. The autocorrelation function B(z) is also derived from experiment and the most favoured ionic valence Compton profiles.

Dhaka, M. S. [Department of Physics, Engineering College Bikaner, Bikaner, 334004, Rajasthan (India); Sharma, G. [Department of Physics, Bansthali University, Bansthali, 304022, Rajasthan (India); Mishra, M. C.; Kothari, R. K.; Sharma, B. K. [Department of Physics, University of Rajasthan, Jaipur, 302004, Rajasthan (India)

2010-12-01T23:59:59.000Z

272

Phenotype MicroArray Profiling  

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

MicroArray MicroArray Profiling of Zymomonas mobilis ZM4 Barry Bochner & Vanessa Gomez & Michael Ziman & Shihui Yang & Steven D. Brown Received: 22 May 2009 / Accepted: 26 October 2009 # The Author(s) 2009. This article is published with open access at Springerlink.com Abstract In this study, we developed a Phenotype MicroArray(tm) (PM) protocol to profile cellular phenotypes in Zymomonas mobilis, which included a standard set of nearly 2,000 assays for carbon, nitrogen, phosphorus and sulfur source utilization, nutrient stimulation, pH and osmotic stresses, and chemical sensitivities with 240 inhibitory chemicals. We observed two positive assays for C-source utilization (fructose and glucose) using the PM screen, which uses redox chemistry and cell respiration as a universal reporter to profile growth phenotypes in a high-throughput 96-well plate-based format.

273

Industry Profile | Department of Energy  

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

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

274

Performance Monitoring  

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

Optimization Performance Monitoring Performance Monitoring A redirector page has been set up without anywhere to redirect to. Last edited: 2014-08-25 14:37:27...

275

Central Appalachia: Coal industry profile  

SciTech Connect

Central Appalachia, the most complex and diverse coal-producing region in the United States, is also the principal source of very low sulfur coal in the East. This report provides detailed profiles of companies and facilities responsible for about 90% of the area's production, conveying a unique view of the aggregate industry as well as its many parts.

McMahan, R.L.; Kendall, L.K. (Resource Data International, Inc., Boulder, CO (USA))

1991-05-01T23:59:59.000Z

276

Microfluidics and Nanoscale Research Profile  

E-Print Network (OSTI)

Microfluidics and Nanoscale Science Research Profile Our research group is engaged in a broad range of activities in the general area of microfluidics and nanoscale science. At a primary level, our interest that when compared to macroscale tech- nology, microfluidic systems engender a number of distinct advantages

277

Turfgrass Disease Profiles Brown Patch  

E-Print Network (OSTI)

Turfgrass Disease Profiles Brown Patch Richard Latin, Professor of Plant Pathology Brown patch to algae and moss infestation. Even mild brown patch outbreaks can spoil the appearance of golf greens and perennial ryegrass) also may sustain damage from brown patch infection. Disease Characteristics and Symptom

278

Test profiles for stationary energy storage applications  

SciTech Connect

Evaluation of battery and other energy storage technologies for stationary uses is progressing rapidly toward application-specific testing that uses computer-based data acquisition and control equipment, active electronic loads and power supplies, and customized software, to enable sophisticated test regimes that simulate actual use conditions. These simulated-use tests provide more accurate performance and life evaluations than simple constant resistance or current testing regimes. Some of the tests use stepped constant-power charge and discharge regimes to simulate conditions created by electric utility applications such as frequency regulation and spinning reserve. Other test profiles under development simulate conditions for the energy storage component of Remote Area Power Supplies (RAPS) that include renewable and/or fossil-fueled generators. Various RAPS applications have unique sets of service conditions that require specialized test profiles. However, almost all RAPS tests and many tests that represent other stationary applications need to simulate significant time periods during which storage devices operate at low-to-medium states-of-charge without full recharge. Consideration of these and similar issues in simulated-use test regimes is necessary to effectively predict the responses of the various types of batteries in specific stationary applications. This paper describes existing and evolving stationary applications for energy storage technologies and test regimes that are designed to simulate them. The paper also discusses efforts to develop international testing standards.

Butler, P.C. [Sandia National Labs., Albuquerque, NM (United States); Cole, J.F. [International Lead Zinc Research Organization, Research Triangle Park, NC (United States); Taylor, P.A. [Energetics, Inc., Columbia, MD (United States)

1998-09-01T23:59:59.000Z

279

Combining data mining and machine learning for effective user profiling  

SciTech Connect

This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the design is accomplished using a series of machine learning methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of cellular telephones based on profiling customer behavior. Specifically, we use a rule-learning program to uncover indicators of fraudulent behavior from a large database of cellular calls. These indicators are used to create profilers, which then serve as features to a system that combines evidence from multiple profilers to generate high-confidence alarms. Experiments indicate that this automatic approach performs nearly as well as the best hand-tuned methods for detecting fraud.

Fawcett, T.; Provost, F. [NYNEX Science and Technology, White Plains, NY (United States)

1996-12-31T23:59:59.000Z

280

Definition: Electrical Profiling Configurations | Open Energy Information  

Open Energy Info (EERE)

Profiling Configurations Profiling Configurations Jump to: navigation, search Dictionary.png Electrical Profiling Configurations Electrical profiling is a DC resistivity survey which aims to trace lateral variations in the apparent resistivity structure of the subsurface. Traditionally, electrical profiling provides qualitative information of relative apparent resistivity values in order to detect anomalous geological features.[1] Also Known As Electrical mapping References ↑ http://www.amazon.com/Principles-Electric-Borehole-Geophysics-Geochemistry/dp/0444529942 Ret LikeLike UnlikeLike You like this.Sign Up to see what your friends like. rieved from "http://en.openei.org/w/index.php?title=Definition:Electrical_Profiling_Configurations&oldid=596184" Category: Definitions

Note: This page contains sample records for the topic "uc-950 performance profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Performative architecture  

E-Print Network (OSTI)

The following thesis explores two central hypotheses. On the one hand it introduces the idea of performative architecture (performance in design), and has done so with the desire to contribute directly to the expansion of ...

Araya, Sergio (Sergio Alejandro)

2011-01-01T23:59:59.000Z

282

Performance Characterization  

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

Performance characterization efforts within the SunShot Systems Integration activities focus on collaborations with U.S. solar companies to:

283

EQPT: Ecological Quality Profiling Tool  

SciTech Connect

EQPT uses"Habitat Value Units" to assess the ecological quality of selected areas. A Habitat Value Unit is equal to one unit area of pristine or desired habitat. The proximity of waste reduces the value of the habitat. The GIS uses a proximity-based iterative algorithm to aggregate similarly classified waste sites. A variable size buffering algorithm is then used to approximate the effects of the waste on the environmental quality of the surrounding areas. The user designated areas are analyzed, and the resulting quality profiles are presented quantitatively in tabular summaries and graphically as grids on vector base maps.

Tzemos, Spyridon (BATTELLE (PACIFIC NW LAB)); Sackschewsky, Michael R. (BATTELLE (PACIFIC NW LAB)); Bilyard, Gordon R. (BATTELLE (PACIFIC NW LAB))

2002-08-21T23:59:59.000Z

284

Texas Crop Profile: Sweet Potatoes  

E-Print Network (OSTI)

is between 120 to 135 days. Texas Crop Profile S W E E T P O T A T O E S E-22 3-00 Prepared by Rodney L. Holloway, Kent D. Hall and Dudley T. Smith 1 In collaboration with James V. Robinson, George Philley and Marvin Baker 2 1 Extension Specialist, Extension... Command will not. Rodney L. Holloway Extension Specialist 2488 TAMU College Station, Texas 77843-2488 979-845-3849 rholloway@tamu.edu Kent D. Hall Extension Associate 2488 TAMU College Station, Texas 77843-2488 979-845-3849 kd-hall@tamu.edu Dudley Smith...

Hall, Kent D.; Holloway, Rodney L.; Smith, Dudley

2000-04-12T23:59:59.000Z

285

PWR AXIAL BURNUP PROFILE ANALYSIS  

SciTech Connect

The purpose of this activity is to develop a representative ''limiting'' axial burnup profile for pressurized water reactors (PWRs), which would encompass the isotopic axial variations caused by different assembly irradiation histories, and produce conservative isotopics with respect to criticality. The effect that the low burnup regions near the ends of spent fuel have on system reactivity is termed the ''end-effect''. This calculation will quantify the end-effects associated with Pressurized Water Reactor (PWR) fuel assemblies emplaced in a hypothetical 21 PWR waste package. The scope of this calculation covers an initial enrichment range of 3.0 through 5.0 wt% U-235 and a burnup range of 10 through 50 GWd/MTU. This activity supports the validation of the process for ensuring conservative generation of spent fuel isotopics with respect to criticality safety applications, and the use of burnup credit for commercial spent nuclear fuel. The intended use of these results will be in the development of PWR waste package loading curves, and applications involving burnup credit. Limitations of this evaluation are that the limiting profiles are only confirmed for use with the B&W 15 x 15 fuel assembly design. However, this assembly design is considered bounding of all other typical commercial PWR fuel assembly designs. This calculation is subject to the Quality Assurance Requirements and Description (QARD) because this activity supports investigations of items or barriers on the Q-list (YMP 2001).

J.M. Acaglione

2003-09-17T23:59:59.000Z

286

performance data | OpenEI  

Open Energy Info (EERE)

performance data performance data Dataset Summary Description The National Renewable Energy Laboratory (NREL) publishes a wide selection of data and statistics on renewable energy power technologies from a variety of sources (e.g. EIA, Oak Ridge National Laboratory, Sandia National Laboratory, EPRI and AWEA). In 2006, NREL published the 4th edition, presenting market and performance data for over a dozen technologies from publications from 1997 - 2004. Source NREL Date Released March 01st, 2006 (8 years ago) Date Updated Unknown Keywords advanced energy storage batteries biomass csp fuel cells geothermal Hydro market data NREL performance data PV wind Data application/vnd.ms-excel icon Technology Profiles (market and performance data) (xls, 207.4 KiB) Quality Metrics Level of Review Some Review

287

Commercial Performance  

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

Commercial Performance Commercial Performance Objectives: To review the market potential for improvements in commercial building glazings, quantify the energy savings potentials, explore potential design solutions, and develop guidelines and tools for building designers so that systems are specified and used in an optimal manner. A special emphasis is placed on the daylighting performance of glazings in commercial buildings since lighting is the single largest energy end use and daylighting can improve both visual performance and the quality of the indoor space as well as saving energy. Technical Approach: This project has two major complementary elements. The first is the exploration and assessment of glazing performance in commercial buildings leading to development of design strategies that reduce unnecessary energy use. The final step is creating design guides and tools that make this design knowledge accessible to practitioners, typically carried out in partnership with others. Although the emphasis is energy impacts, e.g. annual energy use, the performance issues addressed in the guides and tools include all that impact the final glazing selection process, e.g. appearance, glare. The second element is an exploration of daylighting strategies for commercial buildings since lighting energy use is the major energy end use in most buildings. This work develops and evaluates new daylighting devices and designs, assesses performance in commercial buildings, and demonstrates system performance using test cells, test rooms and case study buildings. All energy-related aspects of the design solutions, as well as other critical performance issues, are addressed in this work. Results of this work are integrated into the guides and tools described above. Much of this work has been co-supported by utilities and has been carried on in conjunction with participants in an International Energy Agency Daylighting Task.

288

Calibrated nanoscale dopant profiling using a scanning microwave microscope  

SciTech Connect

The scanning microwave microscope is used for calibrated capacitance spectroscopy and spatially resolved dopant profiling measurements. It consists of an atomic force microscope combined with a vector network analyzer operating between 1-20 GHz. On silicon semiconductor calibration samples with doping concentrations ranging from 10{sup 15} to 10{sup 20} atoms/cm{sup 3}, calibrated capacitance-voltage curves as well as derivative dC/dV curves were acquired. The change of the capacitance and the dC/dV signal is directly related to the dopant concentration allowing for quantitative dopant profiling. The method was tested on various samples with known dopant concentration and the resolution of dopant profiling determined to 20% while the absolute accuracy is within an order of magnitude. Using a modeling approach the dopant profiling calibration curves were analyzed with respect to varying tip diameter and oxide thickness allowing for improvements of the calibration accuracy. Bipolar samples were investigated and nano-scale defect structures and p-n junction interfaces imaged showing potential applications for the study of semiconductor device performance and failure analysis.

Huber, H. P.; Hochleitner, M.; Hinterdorfer, P. [University of Linz, Christian Doppler Laboratory for Nanoscopic Methods in Biophysics, Altenbergerstrasse 69, 4040 Linz (Austria); Humer, I.; Smoliner, J. [Technical University of Vienna, Institute for Solid State Electronics, 1040 Vienna (Austria); Fenner, M.; Moertelmaier, M.; Rankl, C.; Tanbakuchi, H.; Kienberger, F. [Agilent Technologies, Inc., 5301 Stevens Creek Blvd., Santa Clara, California 95051 (United States); Imtiaz, A.; Wallis, T. M.; Kabos, P. [National Institute for Standards and Technology, Electromagnetic Division, 325 Broadway, Boulder, Colorado 80305-3337 (United States); Kopanski, J. J. [National Institute of Standards and Technology, Semiconductor Measurements Division, Gaithersburg, Maryland 20899-8120 (United States)

2012-01-01T23:59:59.000Z

289

Performance Contracting  

E-Print Network (OSTI)

Performance Contracting ? A Resource for Energy Efficiency Projects Schneider Electric ? Buildings Business ? CATEE 2011 2 Top Challenges for Cities & Schools Tax Revenue Reductions Property values down, sales tax revenue down, etc Energy... issues and needs postponed Schneider Electric ? Buildings Business ? CATEE 2011 3 Performance Contracting can help? Tax Revenue Reductions Redirect funds already being spent on utilities Energy Price & Availability Issues Equip you with the tools...

Goodin, E.

2011-01-01T23:59:59.000Z

290

ARM - Campaign Instrument - s-band-profiler  

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

govInstrumentss-band-profiler govInstrumentss-band-profiler Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : NOAA S-band (2835 Mhz) Profiler (S-BAND-PROFILER) Instrument Categories Cloud Properties, Atmospheric Profiling Campaigns CRYSTAL-FACE [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2002.06.26 - 2002.08.01 Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers [ Download Data ] Southern Great Plains, 2011.04.22 - 2011.06.06 Tropical Warm Pool - International Cloud Experiment (TWP-ICE) [ Download Data ] Tropical Western Pacific, 2006.01.21 - 2006.02.13 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the datastream (netcdf) file headers for the list of all available

291

Definition: Electromagnetic Profiling Techniques | Open Energy Information  

Open Energy Info (EERE)

Electromagnetic Profiling Techniques Electromagnetic Profiling Techniques Jump to: navigation, search Dictionary.png Electromagnetic Profiling Techniques Electromagnetic profiling techniques map lateral variations in subsurface resistivity.[1] View on Wikipedia Wikipedia Definition Exploration geophysics is the applied branch of geophysics which uses surface methods to measure the physical properties of the subsurface Earth, along with the anomalies in these properties, in order to detect or infer the presence and position of ore minerals, hydrocarbons, geothermal reservoirs, groundwater reservoirs, and other geological structures. Exploration geophysics is the practical application of physical methods (such as seismic, gravitational, magnetic, electrical and electromagnetic) to measure the physical properties of rocks, and in particular, to detect

292

Project Profile: Forecasting and Influencing Technological Progress...  

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

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

293

Project Profile: Regenerative Carbonate-Based Thermochemical...  

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

Regenerative Carbonate-Based Thermochemical Energy Storage System for Concentrating Solar Power Project Profile: Regenerative Carbonate-Based Thermochemical Energy Storage System...

294

Project Profile: Concentrated Solar Thermoelectric Power | Department...  

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

Solar Thermoelectric Power Project Profile: Concentrated Solar Thermoelectric Power MIT logo The Rohsenow-Kendall Heat Transfer Lab at Massachusetts Institute of...

295

Plant Energy Profiler | Department of Energy  

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

Energy Profiler Pumping System Assessment Tool Process Heating Assessment and Survey Tool Steam System Modeler Advanced Manufacturing Home Key Activities Research &...

296

High Performance Buildings Database  

DOE Data Explorer (OSTI)

The High Performance Buildings Database is a shared resource for the building industry, a unique central repository of in-depth information and data on high-performance, green building projects across the United States and abroad. The database includes information on the energy use, environmental performance, design process, finances, and other aspects of each project. Members of the design and construction teams are listed, as are sources for additional information. In total, up to twelve screens of detailed information are provided for each project profile. Projects range in size from small single-family homes or tenant fit-outs within buildings to large commercial and institutional buildings and even entire campuses. The database is a data repository as well. A series of Web-based data-entry templates allows anyone to enter information about a building project into the database. Once a project has been submitted, each of the partner organizations can review the entry and choose whether or not to publish that particular project on its own Web site.

297

Profile-based adaptive anomaly detection for network security.  

SciTech Connect

As information systems become increasingly complex and pervasive, they become inextricably intertwined with the critical infrastructure of national, public, and private organizations. The problem of recognizing and evaluating threats against these complex, heterogeneous networks of cyber and physical components is a difficult one, yet a solution is vital to ensuring security. In this paper we investigate profile-based anomaly detection techniques that can be used to address this problem. We focus primarily on the area of network anomaly detection, but the approach could be extended to other problem domains. We investigate using several data analysis techniques to create profiles of network hosts and perform anomaly detection using those profiles. The ''profiles'' reduce multi-dimensional vectors representing ''normal behavior'' into fewer dimensions, thus allowing pattern and cluster discovery. New events are compared against the profiles, producing a quantitative measure of how ''anomalous'' the event is. Most network intrusion detection systems (IDSs) detect malicious behavior by searching for known patterns in the network traffic. This approach suffers from several weaknesses, including a lack of generalizability, an inability to detect stealthy or novel attacks, and lack of flexibility regarding alarm thresholds. Our research focuses on enhancing current IDS capabilities by addressing some of these shortcomings. We identify and evaluate promising techniques for data mining and machine-learning. The algorithms are ''trained'' by providing them with a series of data-points from ''normal'' network traffic. A successful algorithm can be trained automatically and efficiently, will have a low error rate (low false alarm and miss rates), and will be able to identify anomalies in ''pseudo real-time'' (i.e., while the intrusion is still in progress, rather than after the fact). We also build a prototype anomaly detection tool that demonstrates how the techniques might be integrated into an operational intrusion detection framework.

Zhang, Pengchu C. (Sandia National Laboratories, Albuquerque, NM); Durgin, Nancy Ann

2005-11-01T23:59:59.000Z

298

Parent and Teacher Report: Comparing Results from the Sensory Profile and the Sensory Profile School Companion  

E-Print Network (OSTI)

OBJECTIVE. This study investigated the similarities and differences between parent and teacher report on the Sensory Profile and the Sensory Profile School Companion (School Companion). METHOD. Using data gathered during ...

Clark, Jessica Saiter

2008-08-13T23:59:59.000Z

299

NREL Power Technologies Energy Data Book (2006): Technology Profiles |  

Open Energy Info (EERE)

Power Technologies Energy Data Book (2006): Technology Profiles Power Technologies Energy Data Book (2006): Technology Profiles Dataset Summary Description The National Renewable Energy Laboratory (NREL) publishes a wide selection of data and statistics on renewable energy power technologies from a variety of sources (e.g. EIA, Oak Ridge National Laboratory, Sandia National Laboratory, EPRI and AWEA). In 2006, NREL published the 4th edition, presenting market and performance data for over a dozen technologies from publications from 1997 - 2004. The technologies covered are: biomass, geothermal, concentrating solar power (CSP), wind, hydro, solar buildings, reciprocating engines, microturbines, fuel cells, batteries, advanced energy storage, and super conducting power technology. Depending on the technology, data may go as far back as 1980 and projections may go as far into the future as 2020.

300

Pulsar polarisation below 200 MHz: Average profiles and propagation effects  

E-Print Network (OSTI)

We present the highest-quality polarisation profiles to date of 16 non-recycled pulsars and four millisecond pulsars, observed below 200 MHz with the LOFAR high-band antennas. Based on the observed profiles, we perform an initial investigation of expected observational effects resulting from the propagation of polarised emission in the pulsar magnetosphere and the interstellar medium. The predictions of magnetospheric birefringence in pulsars have been tested using spectra of the pulse width and fractional polarisation from multifrequency data. The derived spectra offer only partial support for the expected effects of birefringence on the polarisation properties, with only about half of our sample being consistent with the model's predictions. It is noted that for some pulsars these measurements are contaminated by the effects of interstellar scattering. For a number of pulsars in our sample, we have observed significant variations in the amount of Faraday rotation as a function of pulse phase, which is possi...

Noutsos, A; Kondratiev, V I; Weltevrede, P; Verbiest, J P W; Karastergiou, A; Kramer, M; Kuniyoshi, M; Alexov, A; Breton, R P; Bilous, A V; Cooper, S; Falcke, H; Griemeier, J -M; Hassall, T E; Hessels, J W T; Keane, E F; Os?owski, S; Pilia, M; Serylak, M; Stappers, B W; ter Veen, S; van Leeuwen, J; Zagkouris, K; Anderson, K; Bhren, L; Bell, M; Broderick, J; Carbone, D; Cendes, Y; Coenen, T; Corbel, S; Eislffel, J; Fender, R; Garsden, H; Jonker, P; Law, C; Marko, S; Masters, J; Miller-Jones, J; Molenaar, G; Osten, R; Pietka, M; Rol, E; Rowlinson, A; Scheers, B; Spreeuw, H; Staley, T; Stewart, A; Swinbank, J; Wijers, R; Wijnands, R; Wise, M; Zarka, P; van der Horst, A

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uc-950 performance profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

A framework for nonparametric profile monitoring  

Science Journals Connector (OSTI)

Control charts have been widely used for monitoring the functional relationship between a response variable and some explanatory variable(s) (called profile) in various industrial applications. In this article, we propose an easy-to-implement framework ... Keywords: B-spline, Block bootstrap, Confidence band, Curve depth, Nonparametric profile monitoring

Shih-Chung Chuang; Ying-Chao Hung; Wen-Chi Tsai; Su-Fen Yang

2013-01-01T23:59:59.000Z

302

Research profiling for `standardization and innovation'  

Science Journals Connector (OSTI)

This paper addresses the profiling of research papers on `standardization and innovation'--exploring major topics and arguments in this field. Drawing on 528 papers retrieved from the database, Web of Science, we employed trend, factor, and clustering ... Keywords: Bibliometrics, Clustering analysis, Innovation, Publication analysis, Research profiling, Standardization, Taxonomy

Dong Geun Choi; Heesang Lee; Tae-Kyung Sung

2011-07-01T23:59:59.000Z

303

A PROFILE OF KENTUCKY MEDICAID MENTAL HEALTH  

E-Print Network (OSTI)

can be advanced--among patients, health care providers, and the community at large. This workA PROFILE OF KENTUCKY MEDICAID MENTAL HEALTH DIAGNOSES, 2000-2010 #12; #12; i A Profile of Kentucky Medicaid Mental Health Diagnoses, 20002010 BY Michael T. Childress

Hayes, Jane E.

304

TOF Profile function used at POWGEN  

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

TOF Profile function used at POWGEN: TOF Profile function used at POWGEN: Powgen uses a TOF profile function which is a variation on the standard profile function originally derived by VonDreele, Jorgensen and Windsor (VonDreele RB, Jorgensen JD and Windsor CG, "Rietveld Refinement with Spallation Neutron Powder Diffraction Data", J. Appl. Cryst. 15, 581 (1982). This function is implemented in GSAS (profile function 3, 4 & 5) and Fullprof NPROF 9 and is most applicable to diffractometers viewing ambient polyethylene or water moderators. The POWGEN diffractometer, however, views a poisoned cryogenic H 2 (liquid) moderator. The variation in peak shape and peak position with TOF (or d-spacing d) is calculated using a more complex function related to thermal and epithermal components of the neutron spectrum that was

305

Bi 3 + cluster primary ions in SIMS depth profiling of YBaCuO high-temperature superconductor films  

Science Journals Connector (OSTI)

SIMS depth profiling of YBa2Cu3O7 high-temperature superconductor films was performed using a TOF.SIMS-...2Cu3O7 films based on detection of cluster secondary ions.

M. N. Drozdov; Yu. N. Drozdov

2010-08-01T23:59:59.000Z

306

PERFORMANCE OF THE RHIC IPM.  

SciTech Connect

Four ionization beam profile monitors (IPM's) are in RHIC to measure vertical and horizontal profiles in the two rings. Each IPM collects and measures the distribution of electrons in the beamline resulting from residual gas ionization during bunch passage. The IPM's performed well during the 1999 commissioning run and early in the 2000 run. However as the bunch intensity increased there was a beam-induced ringing that increased in amplitude until it saturated the amplifiers and made the IPM's unusable. Near the end of the run the cause of the ringing was found and one IPM was fixed. At the start of the 2001 run all four IPM have EM1 shielding installed.

CONNOLLY,R.; CAMERON,P.; MICHNOFF,R.; TEPIKIAN,S.

2001-06-18T23:59:59.000Z

307

Performance Variability  

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

Variability Variability of Highly Parallel Architectures William T.C. Kramer 1 and Clint Ryan 2 1 Department of Computing Sciences, University of California at Berkeley and the National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory 2 Department of Computing Sciences, University of California at Berkeley Abstract. The design and evaluation of high performance computers has concentrated on increasing computational speed for applications. This performance is often measured on a well configured dedicated sys- tem to show the best case. In the real environment, resources are not always dedicated to a single task, and systems run tasks that may influ- ence each other, so run times vary, sometimes to an unreasonably large extent. This paper explores the amount of variation seen across four large distributed memory systems in a systematic manner. It then

308

Generation of synthetic benchmark electrical load profiles using publicly available load and weather data  

Science Journals Connector (OSTI)

Abstract Electrical load profiles of a particular region are usually required in order to study the performance of renewable energy technologies and the impact of different operational strategies on the power grid. Load profiles are generally constructed based on measurements and load research surveys which are capital and labour-intensive. In the absence of true load profiles, synthetically generated load profiles can be a viable alternative to be used as benchmarks for research or renewable energy investment planning. In this paper, the feasibility of using publicly available load and weather data to generate synthetic load profiles is investigated. An artificial neural network (ANN) based method is proposed to synthesize load profiles for a target region using its typical meteorological year 2 (TMY2) weather data as the input. To achieve this, the proposed ANN models are first trained using TMY2 weather data and load profile data of neighbouring regions as the input and targeted output. The limited number of data points in the load profile dataset and the consequent averaging of TMY2 weather data to match its period resulted in limited data availability for training. This challenge was tackled by incorporating generalization using Bayesian regularization into training. The other major challenge was facilitating ANN extrapolation and this was accomplished by the incorporation of domain knowledge into the input weather data for training. The performance of the proposed technique has been evaluated by simulation studies and tested on three real datasets. Results indicate that the generated synthetic load profiles closely resemble the real ones and therefore can be used as benchmarks.

Gobind G. Pillai; Ghanim A. Putrus; Nicola M. Pearsall

2014-01-01T23:59:59.000Z

309

Electromagnetic Profiling Techniques | Open Energy Information  

Open Energy Info (EERE)

Electromagnetic Profiling Techniques Electromagnetic Profiling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Electromagnetic Profiling Techniques Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Ground Electromagnetic 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

310

Vertical Seismic Profiling | Open Energy Information  

Open Energy Info (EERE)

Vertical Seismic Profiling Vertical Seismic Profiling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Vertical Seismic Profiling Details Activities (4) Areas (3) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Borehole Seismic Techniques Parent Exploration Technique: Borehole Seismic Techniques Information Provided by Technique Lithology: Rock unit density influences elastic wave velocities. Stratigraphic/Structural: Structural geology- faults, folds, grabens, horst blocks, sedimentary layering, discontinuities, etc. Hydrological: Combining compressional and shear wave results can indicate the presence of fluid saturation in the formation. Thermal: High temperatures and pressure impact the compressional and shear wave velocities.

311

Electrical Profiling Configurations | Open Energy Information  

Open Energy Info (EERE)

Electrical Profiling Configurations Electrical Profiling Configurations Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Electrical Profiling Configurations Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Direct-Current Resistivity Survey 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

312

Free-energy profiles and scaling in polymer brushes  

Science Journals Connector (OSTI)

Monte Carlo simulations have been performed for an unattached polymer in a grafted polymer layer (a polymer brush). The simulations employ a non-Boltzmann sampling method to calculate the free energy of the unattached chain as a function of its vertical position in the brush, W(z), and the free energy per chain in the grafted layer, f. Contrary to other recent reports, we find grafting conditions where the variation of f is consistent with scaling and analytical self-consistent field (SCF) theories. The free-energy profile, W(z), also follows a form predicted from SCF theory.

J. Scott Shaffer

1994-08-01T23:59:59.000Z

313

DGMonitor: A Performance Monitoring Tool for Sandbox-Based Desktop Grid Platforms  

Science Journals Connector (OSTI)

Accurate, continuous resource monitoring and profiling are critical for enabling performance tuning and scheduling optimization. In desktop grid systems that employ sandboxing, these issues are challenging because (1) subjobs inside sandboxes are executed ... Keywords: distributed computing, performance monitoring and profiling, sandboxing techniques

P. Cicotti; M. Taufer; Andrew A. Chien

2005-11-01T23:59:59.000Z

314

Subsurface imaging with reverse vertical seismic profiles  

E-Print Network (OSTI)

This thesis presents imaging results from a 3D reverse vertical seismic profile (RVSP) dataset measured at a hydrocarbon bearing pinnacle reef in northern Michigan. The study presented many challenges in seismic data ...

Krasovec, Mary L. (Mary Lee), 1972-

2001-01-01T23:59:59.000Z

315

load profile | OpenEI Community  

Open Energy Info (EERE)

data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

316

Longitudinal profile of channels cut by springs  

E-Print Network (OSTI)

We propose a simple theory for the longitudinal profile of channels incised by groundwater flow. The aquifer surrounding the stream is represented in two dimensions through Darcy's law and the Dupuit approximation. The ...

Devauchelle, O.

317

Automatic program timing profiles with FTN4  

SciTech Connect

Design of a scheme for producing execution timing profiles of FORTRAN programs automatically is proposed with a recommendation to implement it as an option to the compiler. An experimental implementation on the LBL 7600 is also described. 1 figure.

Friedman, R.

1980-09-01T23:59:59.000Z

318

Definition: Vertical Seismic Profiling | Open Energy Information  

Open Energy Info (EERE)

Profiling Profiling Jump to: navigation, search Dictionary.png Vertical Seismic Profiling Vertical Seismic Profile (VSP) is a technique of seismic measurements used for high resolution seismic imaging. It can also be used for correlation with surface seismic data providing velocity information and information for processing such as deconvolution parameters. The defining characteristic of a VSP is that the detectors are in a borehole.[1][2][3] View on Wikipedia Wikipedia Definition Also Known As Advanced Borehole Seismology (ABS), Related Terms Seismic Techniques, High Resolution Imaging and Monitoring References ↑ Bob Hardage VSP Principles ↑ High resolution 3D seismic imaging using 3C data from large downhole seismic arrays Paulsson et al. (2004) ↑ Mueller Soroka Paulsson (2010)

319

Analysis Methodology for Industrial Load Profiles  

E-Print Network (OSTI)

ANALYSIS METHODOLOGY FOR INDUSTRIAL LOAD PROFILES Thomas W. Reddoch Executive Vice President Eleclrolek Concepts, Inc. Knoxvillc, Tennessee ABSTRACT A methodology is provided for evaluating the impact of various demand-side management... (OSM) options on industrial customers. The basic approach uses customer metered load profile data as a basis for the customer load shape. OSM technologies are represented as load shapes and are used as a basis for altering the customers existing...

Reddoch, T. W.

320

Maine Geological Survey Borehole Temperature Profiles  

SciTech Connect

This dataset includes temperature profiles from 30 boreholes throughout Maine that were selected for their depth, location, and lithologies encountered. Depths range from about 300 feet to 2,200 feet. Most of the boreholes selected for measurement were completed in granite because this lithology can be assumed to be nearly homogeneous over the depth of the borehole. Boreholes were also selected to address gaps in existing geothermal datasets. Temperature profiles were collected in October and November, 2012.

Marvinney, Robert

2013-11-06T23:59:59.000Z

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

ITP Petroleum Refining: Energy and Environmental Profile of the...  

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

and Environmental Profile of the U.S. Petroleum Refining Industry (November 2007) ITP Petroleum Refining: Energy and Environmental Profile of the U.S. Petroleum Refining Industry...

322

ITP Petroleum Refining: Profile of the Petroleum Refining Industry...  

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

Profile of the Petroleum Refining Industry in California: California Industries of the Future Program ITP Petroleum Refining: Profile of the Petroleum Refining Industry in...

323

Vertical Seismic Profiling At Rye Patch Area (DOE GTP, 2011)...  

Open Energy Info (EERE)

Vertical Seismic Profiling At Rye Patch Area (DOE GTP, 2011) Exploration Activity Details Location Rye Patch Area Exploration Technique Vertical Seismic Profiling Activity Date...

324

Analyze Data to Evaluate Greenhouse Gas Emissions Profile for Buildings |  

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

Buildings Buildings Analyze Data to Evaluate Greenhouse Gas Emissions Profile for Buildings October 7, 2013 - 10:47am Addthis YOU ARE HERE Step 2 Once the relevant data have been collected, the next step is to identify the biggest building energy users and their greenhouse gas (GHG) emissions contribution. Ideally would be done at the program level using actual building characteristic and performance data. However, assumptions may be established about energy performance of buildings based on general location and building type. Ultimately, building efficiency measures need to be evaluated at the building level before implementing them, but facility energy managers can evaluate the relative impact of different GHG reduction approaches using assumptions about the building characteristics and estimates of efficiency

325

Evaluate Greenhouse Gas Emissions Profile for Buildings | Department of  

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

Buildings Buildings Evaluate Greenhouse Gas Emissions Profile for Buildings October 7, 2013 - 10:43am Addthis YOU ARE HERE Step 2 To identify the most cost-effective greenhouse gas (GHG) reduction strategies across a Federal agency's building portfolio, a Federal agency will need an understanding of building energy performance and the building characteristics that drive performance. The data required to support current Federal GHG reporting requirements (e.g., agency-wide fuel consumption, electricity use by zip code) are typically not sufficient to fully understand where the best opportunities for improvement are located. More detailed information about the building assets being managed-much of which may already be collected for other purposes-can help to inform where to direct investments.

326

HPCT MPI Profiling and Tracing Library on BG/P Systems | Argonne Leadership  

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

MPI Profiling and Tracing Library on BG/P Systems MPI Profiling and Tracing Library on BG/P Systems References IBM System Blue Gene Solution: High Performance Computing Toolkit for Blue Gene/P - IBM Redbook describing HPCT and other performance tools Introduction The HPC Toolkit provides a mechanism for obtain information about the use of MPI routines during a programs execution. This is done through the use of a library which intercepts calls to MPI routines, records information about the call, and then continues with the MPI call. When the program terminates use of MPI by calling MPI_Finalize the data gathered by the library is written to one or more files in the program execution directory. The the primary types of information that are gathered and writen by the library are: MPI Profile Data- A summary of MPI usage information typically

327

Dynamic user profiles for web personalisation  

Science Journals Connector (OSTI)

Abstract Web personalisation systems are used to enhance the user experience by providing tailor-made services based on the users interests and preferences which are typically stored in user profiles. For such systems to remain effective, the profiles need to be able to adapt and reflect the users changing behaviour. In this paper, we introduce a set of methods designed to capture and track user interests and maintain dynamic user profiles within a personalisation system. User interests are represented as ontological concepts which are constructed by mapping web pages visited by a user to a reference ontology and are subsequently used to learn short-term and long-term interests. A multi-agent system facilitates and coordinates the capture, storage, management and adaptation of user interests. We propose a search system that utilises our dynamic user profile to provide a personalised search experience. We present a series of experiments that show how our system can effectively model a dynamic user profile and is capable of learning and adapting to different user browsing behaviours.

Ahmad Hawalah; Maria Fasli

2015-01-01T23:59:59.000Z

328

Energy and Greenhouse Gas Profiles of Polyhydroxybutyrates Derived from Corn Grain: A Life Cycle Perspective  

Science Journals Connector (OSTI)

Energy and Greenhouse Gas Profiles of Polyhydroxybutyrates Derived from Corn Grain: A Life Cycle Perspective ... Polyhydroxybutyrates derived from corn grain could reduced nonrenewable energy consumption and greenhouse gas emissions compared to petroleum-based polymer. ... Cradle-to-gate environmental performance of PHB derived from corn grain is evaluated through life cycle assessment (LCA), particularly nonrenewable energy consumption and greenhouse gas emissions. ...

Seungdo Kim; Bruce E. Dale

2008-09-18T23:59:59.000Z

329

Raman excitation profiles for the (n1, n2) assignment in carbon nanotubes  

E-Print Network (OSTI)

Raman excitation profiles for the (n1, n2) assignment in carbon nanotubes H. Telg , J. Maultzsch indices n1 and n2 in semiconducting and metallic nanotubes was performed comparing resonance Raman nanotube families. Ever since the discovery of how to keep isolated nanotubes from rebundeling in solu

Nabben, Reinhard

330

Characterization of Espresso Coffee Aroma by Static Headspace GC?MS and Sensory Flavor Profile  

Science Journals Connector (OSTI)

The profiles of volatile compounds were obtained with the method described by Sanz et al. (2001), adapted to EC, using static headspace gas chromatography?mass spectrometry (SHGC?MS). ... SHGC analysis was performed with an HP 6890 gas chromatograph (Hewlett-Packard) equipped with a static headspace sampler (Hewlett-Packard model 7694). ... Volatile Compounds Identified in EC Samples by SHGC?MS ...

Laura Maeztu; Cristina Sanz; Susana Andueza; M. Paz De Pea; Jos Bello; Concepcin Cid

2001-10-31T23:59:59.000Z

331

Web-crippling of GFRP pultruded profiles. Part 1: Experimental study  

Science Journals Connector (OSTI)

Abstract There is evidence that glass fibre reinforced polymer (GFRP) pultruded profiles are particularly susceptible to transverse compressive loads, owing to the much lower mechanical properties in the direction transverse to the pultrusion axis. Although very relevant, the understanding about the web-crippling phenomenon in GFRP pultruded profiles is still very limited, as attested by the lack of information available in design codes and guidelines. This paper reports an experimental study about the web-crippling phenomenon in GFRP pultruded profiles with I-section. The experimental programme included comprehensive material characterization tests (tension, compression, flexure and shear), and full-scale web-crippling tests on four different I-profiles, with heights ranging from 100mm to 400mm, thus covering the vast majority of structural profiles currently available in the market. In the web-crippling experiments, two load configurations were tested: interior two flanges (ITF); and end two flanges (ETF). In addition, tests were performed with three different bearing lengths: 15mm, 50mm, and 100mm. The experimental results confirmed the susceptibility of GFRP pultruded profiles to transverse compressive loads, outlining the influence of both the load configuration and the bearing length on the web-crippling phenomenon in terms of strength, stiffness, and failure modes.

Loureno Almeida Fernandes; Jos Gonilha; Joo R. Correia; Nuno Silvestre; Francisco Nunes

2015-01-01T23:59:59.000Z

332

DOE Solar Decathlon: News Blog » Profiles  

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

Profiles Profiles Below you will find Solar Decathlon news from the Profiles archive, sorted by date. Instrumentation for Dummies Sunday, September 29, 2013 By Alexis Powers If your head spins at the thought of 105 sensors collecting 12 data points every 15 minutes for all 19 houses competing in the U.S. Department of Energy Solar Decathlon 2013, you might want to pay a visit to Miss Barbara. This bodiless mannequin acts as the student liaison for the instrumentation team. Perhaps the steadiest head on the competition site, Miss Barbara helps student decathletes locate the instrumentation trailer when questions arise about measured contests. Photo of a mannequin's head looking out of a construction trailer's window. The unwavering gaze of Miss Barbara serves as a beacon for decathletes who

333

Natural gas annual 1993 supplement: Company profiles  

SciTech Connect

The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. This report, the Natural Gas Annual 1993 Supplement: Company Profiles, presents a detailed profile of 45 selected companies in the natural gas industry. The purpose of this report is to show the movement of natural gas through the various States served by the companies profiled. The companies in this report are interstate pipeline companies or local distribution companies (LDC`s). Interstate pipeline companies acquire gas supplies from company owned production, purchases from producers, and receipts for transportation for account of others. Pipeline systems, service area maps, company supply and disposition data are presented.

Not Available

1995-02-01T23:59:59.000Z

334

Sector Profiles of Significant Large CHP Markets, March 2004  

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

Overview of market assessments of large CHP sector profiles of the chemicals, food, and pharmaceuticals sectors

335

Compton profiles of LiF  

Science Journals Connector (OSTI)

?-ray Compton profiles of LiF with the scattering vector along the , , and axes are reported. Both the absolute profiles and their anisotropy are derived from a tight-binding model and compared with experiments. The overall agreement between theory and experiment is found to be satisfactory for all three directions. Recent calculations of Euwema et al. are compared with the present work and found to predict incorrect anisotropies, particularly at small momentum transfers. It is also shown that momentum distributions can be orders of magnitude more sensitive to anisotropy in the electron distributions than x-ray structure factors, at least in materials where overlap of the wave functions is small.

K. -F. Berggren; F. Martino; P. Eisenberger; W. A. Reed

1976-03-15T23:59:59.000Z

336

Carver Performance and Optimization  

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

Optimization Performance and Optimization Performance Monitoring Last edited: 2012-01-09 12:31:03...

337

Viscosity profile of the lower mantle  

Science Journals Connector (OSTI)

......October 1985 research-article Articles Viscosity profile of the lower mantle Kirk Ellsworth...determine the variation of effective viscosity across the lower mantle from models of...consistent with recent estimates of mantle viscosity from post-glacial rebound and true......

Kirk Ellsworth; Gerald Schubert; Charles G. Sammis

1985-10-01T23:59:59.000Z

338

Route profile analysis system and method  

DOE Patents (OSTI)

A system for recording terrain profile information is disclosed. The system accurately senses incremental distances traveled by a vehicle along with vehicle inclination, recording both with elapsed time. The incremental distances can subsequently be differentiated with respect to time to obtain acceleration. The computer acceleration can then be used to correct the sensed inclination.

Mullenhoff, D.J.; Wilson, S.W.

1982-07-29T23:59:59.000Z

339

MATLAB Functions for Profiled Estimation of  

E-Print Network (OSTI)

MATLAB Functions for Profiled Estimation of Differential Equations Giles Hooker June 23, 2010: . . . . . . . . . . . . . . . . . . . 5 2 Example: FitzHugh-Nagumo Equations 5 3 MATLAB Objects Needed for the Estimation. 6 3.1 Cell is designed to accompany a Matlab software package that esti- mates the parameters in differential equation

Keinan, Alon

340

Child and Family Poverty Saskatchewan Profile 2008  

E-Print Network (OSTI)

Child and Family Poverty Saskatchewan Profile 2008 Summary 19.9% of Saskatchewan's children under Saskatchewan's child poverty rate is the second· highest in the country, following only British Columbia.1% in Canada and 21.7% in Saskatchewan (Chart 1). Seventeen years later, in 2006, the national child poverty

Argerami, Martin

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

utility functions scaling profiles utility-fair  

E-Print Network (OSTI)

bandwidth utility functions scaling profiles utility-fair I. INTRODUCTION The emerging MPEG-4 video. This can result in a significant increase in the utilization of network capacity [1]. These techniques. Bandwidth utility functions [9] can be used to characterize an application's capability to adapt over

Chang, Shih-Fu

342

An Economic Profile of the Biosciences Industry  

E-Print Network (OSTI)

An Economic Profile of the Biosciences Industry in West Virginia1 February 2008 By Anthony C. Gregory & Tom S. Witt Bureau of Business and Economic Research College of Business and Economics West are the responsibility of the authors. Mr. Gregory is a graduate research assistant, Bureau of Business and Economic

Mohaghegh, Shahab

343

Triangular-profile single-mode fiber  

Science Journals Connector (OSTI)

A low-loss triangular-profile single-mode fiber is reported. The fiber loss at 1.31.55-?m wavelengths is below 0.4 dB/km, and its zero-chromatic-dispersion wavelength is 1.402 ?m.

Saifi, M A; Cohen, L G; Stone, J; Jang, S J

1982-01-01T23:59:59.000Z

344

Chemical Depth Profiling from Neutron Reflectometry  

SciTech Connect

The material profile of a thin film can be analyzed by placing the film on a substrate and by sending a neutron beam onto it at various angles of incidence. Technically, the scattering length density of the film needs to be determined as a function of depth. A reflectometer is used to measure the amount of reflection (reflectivity) as a function of the angle of incidence. Mathematically, this is equivalent to sending the neutron beam onto the film at every energy but at a fixed angle of incidence. The film profile needs to be recovered from the measured reflectivity data. Unfortunately, the unique recovery is impossible, and many distinct unrelated profiles may correspond to the same reflectivity data. In our DOE/EPSCoR sponsored research, we have developed an analytical method to uniquely recover the profile of a thin film from the measured reflectivity data. We have shown that by taking reflectivity measurements with two different substrates, one can uniquely determine the film profile. Previously, it was known that one could uniquely recover the profile by taking reflectivity measurements with three different substrates, and our findings indicate that the same goal can be accomplished by using fewer measurements. At Mississippi State University we started an informal weekly seminar (called ''the reflectometry meeting'') at to attract various undergraduate and graduate students into the field. There were about 3 undergraduate students, 6 graduate students, and 2 faculty members attending these seminars. The PI has collaborated with Dr. Norm Berk at National Institute of Standards and Technology (NIST) on various aspects of neutron reflectometry, from which various interesting problems of theoretical and practical importance have arisen. One of these problems is closely related to the important mathematical problem known as analytic extrapolation. Under appropriate conditions (known to hold in neutron reflectometry), the reflection data taken in a finite interval of neutron energies uniquely determines the data at all energies. Even though the uniqueness is assured mathematically, there are currently no available methods for analytic extrapolation. Currently, we are working on this problem as it arises in neutron reflectometry and looking for mathematical and numerical methods to extrapolate reflection data to higher and lower neutron energies. A solution to this problem is expected to have a big impact not only in neutron reflectometry, but in many areas of physics and engineering. The PI has collaborated with Prof. Paul Sacks of Iowa State University, Prof. Daniil Sarkissian of Mississippi State University, and Prof. Levon Babadzanjanz of St. Petersburg State University, Russia on mathematical and numerical aspects of neutron reflectometry. These researchers jointly worked with the PI towards the preparation of numerical routines to extract the film profile from the reflection data. We have prepared a Mathematica interface running Fortran 95 algorithms to produce reflection data from a given profile. These Fortran 95 algorithms have been prepared by updating and modifying Prof. Sacks' Fortran 77 routine and by updating Dr. Gian Felcher's (of Argonne National Laboratory) Fortran 77 routine. We are also preparing similar algorithms written in Mathematica so that they can be used without needing Fortran. We are also working towards preparing algorithms in Fortran 95 and in Mathematica to produce the film profile from the given sets of reflectivity data.

Tuncay Aktosun

2006-03-21T23:59:59.000Z

345

Relative Short-Range Forecast Impact from Aircraft, Profiler, Radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle  

Science Journals Connector (OSTI)

An assessment is presented on the relative forecast impact on the performance of a numerical weather prediction model from eight different observation data types: aircraft, profiler, radiosonde, velocity azimuth display (VAD), GPS-derived ...

Stanley G. Benjamin; Brian D. Jamison; William R. Moninger; Susan R. Sahm; Barry E. Schwartz; Thomas W. Schlatter

2010-04-01T23:59:59.000Z

346

Balance Engineering - Eli Lilly Teaming Profile  

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

Industrial SPP / Partner Teaming Profile Industrial SPP / Partner Teaming Profile UService/Product Provider Balance Engineering Inc. 3711 East Carmel Drive Carmel, IN 46033 Business: Consulting Engineering Jack F. Staley President Phone: 317-844-3178 Email: HTUjack@balanceeng.comUT U I ndustrial Partner Eli Lilly and Company Lilly Corporate Center Indianapolis, IN 46285 Business: Pharmaceuticals David S. Drzewiecki Group Leader, Energy & Utilities Phone: 317-433-0336 Email: HTUDrzewiecki_David_S@Lilly.comUT Balance Engineering identifies $3 million in energy savings at Lilly facility Project Scope Balance Engineering conducted a facility energy assessment of the Eli Lilly Clinton Laboratories, a large multi-building pharmaceutical campus. The goals of the assessment were to determine the major uses of

347

Experiment Profile: MINERvA NAME:  

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

Profile: MINERvA Profile: MINERvA NAME: Main Injector Experiment for v-A, or MINERvA ORIGIN OF THE NAME: The Main Injector is the name of the link in the Fermilab accelerator chain that takes protons and accelerates them before "injecting" them in a beamline to hit a target. Nuclear physics uses the term "v-A" as shorthand for atomic number studies. WHAT WILL MINERvA TELL US ABOUT THE WORLD? * MINERvA opens a new window for seeing how matter evolved from simple particles to more complex composites of particles, which eventually created everything you see. * Data from MINERvA provides crucial first steps so that current and future neutrino experiments can answer the following questions: * Were neutrinos key to the evolution of the galaxy by allowing

348

Vertical profiles of halocarbons in the stratosphere  

SciTech Connect

Stratospheric air samples collected between 10 and 35 km altitude by means of a cryogenic sampler were analyzed by gaschromatography. Thus vertical profiles of source gases for halogen radicals were derived, such as CCl4, CCl3F, CCl2F2, CClF3, CF4, C2F3Cl3, C2F4Cl2, C2F5Cl, C2F6, CH3Cl, CH3CCl3, CHF2Cl, CH3Br, CBrF3, and CBrCl2F. Systematic discrepancies between measured and modelled halocarbon profiles point to deficiencies of present one- and two-dimensional models. Measurements of fully halogenated hydrocarbons provide a tool for systematically studying these deficiencies and thus improving the models. 40 references.

Fabian, P.; Borchers, R.

1984-01-01T23:59:59.000Z

349

Compton profiles of Ne, Ar, and Kr  

Science Journals Connector (OSTI)

Compton profiles of Ne, Ar, and Kr are calculated from ground-state energies and wave functions with full correlation contributions included. The latter is carried out by regarding atoms as inhomogeneous interacting electron-gas systems using the Kohn-Sham self-consistent scheme in the local-density approximation. The calculated values are brought closer to the experimental values from Hartree-Fock results. There are numerical problems for large atoms.

B. Y. Tong and L. Lam

1978-08-01T23:59:59.000Z

350

Surface skeleton generation based on 360-degree profile scan  

E-Print Network (OSTI)

A rapid prototyping method is invented, which works on a specific data structure produced by an optical metrology technique: 360-degree surface profile scanning. A computer algorithm takes an object profile data, restructure ...

Chen, Lujie

351

Building America Top Innovations 2013 Profile - Zero Energy-Ready...  

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

Top Innovations 2013 Profile - Zero Energy-Ready Single-Family Homes Building America Top Innovations 2013 Profile - Zero Energy-Ready Single-Family Homes Many Building America...

352

STAMP: statistical analysis of taxonomic and functional profiles  

Science Journals Connector (OSTI)

......White et al., 2009) are provided for comparing profiles organized into two groups. STAMP implements the ANOVA and Kruskal-Wallis H-test for comparing three or more groups of profiles. Statistically significant features can be further examined......

Donovan H. Parks; Gene W. Tyson; Philip Hugenholtz; Robert G. Beiko

2014-11-01T23:59:59.000Z

353

Turbulence Patch Identification in Potential Density or Temperature Profiles  

Science Journals Connector (OSTI)

The Thorpe analysis is a recognized method used to identify and characterize turbulent regions within stably stratified fluids. By comparing an observed profile of potential temperature or potential density to a reference profile obtained by ...

Richard Wilson; Hubert Luce; Francis Dalaudier; Jacques Lefrre

2010-06-01T23:59:59.000Z

354

Activity-based protein profiling of secreted cellulolytic enzyme...  

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

based protein profiling of secreted cellulolytic enzyme activity dynamics in Trichoderma reesei QM6a, NG14, and RUT-C30 Activity-based protein profiling of secreted cellulolytic...

355

ESPC Past Performance Questionnaire  

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

Document offers a series of questions to evaluate a contractors performance during an energy savings performance contract (ESPC).

356

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)  

DOE Data Explorer (OSTI)

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Christopher Williams; Mike Jensen

357

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)  

SciTech Connect

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Williams, Christopher; Jensen, Mike

2012-11-06T23:59:59.000Z

358

Thermohaline convection with nonlinear salt profiles N. J. Balmfortha)  

E-Print Network (OSTI)

of tem- perature and salinity; the background temperature gradient is constant, while the salt profile tangent profile is presented. It is shown that nonlinearity in the background salinity profile leads of temperature and salinity. Hence we need to jus- tify our study of the stability of this background

Julien, Keith

359

.Heat Generation Patterns and Temperature Profiles in_ Electroslag Welding  

E-Print Network (OSTI)

l .Heat Generation Patterns and Temperature Profiles in_ Electroslag Welding ) · T. DEBROY, J process parameters such as the voltage profiles, heat generation patterns and temperature profiles with equivalent slag, electrode and other geometrical variable; Calcu- 0 lations show that the heat generation

Eagar, Thomas W.

360

Getting More Performance from Performance Measurement  

Science Journals Connector (OSTI)

...accountability and a workforce skilled in quality-improvement science. In the table, we offer some recommendations for avoiding the repetition of past failures and increasing the likelihood of success for performance initiatives. The science and practice of performance measurement have advanced substantially... Under today's performance-measurement paradigm, too many resources are invested in assessing too many activities that may not have major effects on patients' health. What can past successes and failures teach us about performance measures that effectively improve care?

Cassel C.K.; Conway P.H.; Delbanco S.F.

2014-12-04T23:59:59.000Z

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Performance Management Methodology Moving from Performance Measurement to Performance Management  

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

Guide to a Balanced Scorecard: Guide to a Balanced Scorecard: Performance Management Methodology Moving from Performance Measurement to Performance Management Guide to a Balanced Scorecard Performance Management Methodology Richard H. Hopf Deputy Assistant Secretary for Procurement and Assistance Management Department of Energy Lloyd W. Pratsch Procurement Executive Department of State Robert A. Welch Director for Acquisition Management and Procurement Executive Department of Commerce Pauk A. Denett Director of Administration/Senior Procurement Executive Department of Interior David J. Litman Director, Office of Acquisition and Grants Management Department of Transportation Ida M. Ustad Deputy Associate Administrator for Acquisition Policy General Services Administration Terrence J. Tychan Deputy Assistant Secretary for Grants

362

Influence of the Edge Plasma Profile and Parameters on the Coupling of an ICRH Antenna. Application to ITER  

SciTech Connect

The coupling to the fast wave of an ICRH antenna is principally determined by its distance to an optimum plasma density correlated to the cutoff one and by the density gradient between this optimum density and the bulk plasma. This explains the differences in coupling for the various heating and current drive phasings as predicted for different plasma edge profiles considered for ITER. For a given electron density edge profile the ion mix, the steady magnetic field and the frequency have also a significant effect on the coupling performances. These quantities affect the coupling mainly by influencing the position of the optimum density in the profile. A marked perturbation of the coupling leading to a large edge power deposition can occur when the Alfven resonance lies in the edge profile. The results are applied to different ICRF scenarios considered for ITER at full and half toroidal field.

Messiaen, A.; Koch, R.; Weynants, R. [LPP-ERM/KMS, EURATOM-Belgian State Association, Trilateral Euregio Cluster, Brussels (Belgium)

2011-12-23T23:59:59.000Z

363

A forensic STR profiling system for the Eurasian badger: A framework for developing profiling systems for wildlife species  

E-Print Network (OSTI)

A forensic STR profiling system for the Eurasian badger: A framework for developing profiling short tandem repeat (STR) profiling systems for forensic identification is complicated in animal species and a lack of developed STR markers can make adhering to human forensic guidelines difficult. Furthermore

Thorpe, Roger Stephen

364

Building America Research Teams: BSC and CARB20 Years of Advancing High Performance Homes  

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

In this article, we continue our series of profiles on the Building America research teamsmultidisciplinary industry partnerships who work to make high performance homes a reality for all Americans.

365

Characterization of X-ray generator beam profiles.  

SciTech Connect

T to compute the radiography properties of various materials, the flux profiles of X-ray sources must be characterized. This report describes the characterization of X-ray beam profiles from a Kimtron industrial 450 kVp radiography system with a Comet MXC-45 HP/11 bipolar oil-cooled X-ray tube. The empirical method described here uses a detector response function to derive photon flux profiles based on data collected with a small cadmium telluride detector. The flux profiles are then reduced to a simple parametric form that enables computation of beam profiles for arbitrary accelerator energies.

Mitchell, Dean J; Harding, Lee T.; Thoreson, Gregory G.; Theisen, Lisa Anne; Parmeter, John Ethan; Thompson, Kyle Richard

2013-07-01T23:59:59.000Z

366

The density profiles of hot galactic halo gas  

E-Print Network (OSTI)

Extended gas haloes around galaxies are a ubiquitous prediction of galaxy formation scenarios. However, the density profiles of this hot halo gas is virtually unknown, although various profiles have been suggested on theoretical grounds. In order to quantitatively address the gas profile, we compare galaxies from direct cosmological simulations with analytical solutions of the underlying gas equations. We find remarkable agreement between simulations and theoretical predictions. We present an expression for this gas profile with a non-trivial dependence on the total mass profile. This expression is useful when setting up equilibrium galaxy models for numerical experiments.

Steen H. Hansen; Jesper Sommer-Larsen

2006-06-13T23:59:59.000Z

367

Interpreting Horizontal Well Flow Profiles and Optimizing Well Performance by Downhole Temperature and Pressure Data  

E-Print Network (OSTI)

, Rs = 0.1 0F...................... 118 Fig. 5.39 May identify high inflow sections at 2 days, Rs = 0.1 0F............................. 119 Fig. 5.40 Identify high inflow sections at initial, ? = 0.033 0F ................................... 120 Fig... sections at 5 day, ? = 0.1 0F ........................ 121 Fig. 5.44 Reservoir geometry and 2D permeability distribution used in example 2...

Li, Zhuoyi

2011-02-22T23:59:59.000Z

368

Project Profile: High Performance Reduction/Oxidation Metal Oxides for Thermochemical Energy Storage  

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

The Department of Energy's Solar Energy Technology Office made an award to Sandia National Lab (Sandia) through the Concentrating Solar Power: Efficiently Leveraging Equilibrium Mechanisms for Engineering New Thermochemical Storage (CSP: ELEMENTS) funding program.

369

H.264/MPEG4-AVC Fidelity Range Extensions: Tools, Profiles, Performance, and Application Areas  

E-Print Network (OSTI)

Detlev Marpe and Thomas Wiegand Fraunhofer Institute for Telecommunications ­ Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37 D-10587 Berlin, Germany [marpe,wiegand]@hhi.fraunhofer-compensated prediction (MCP) and transform coding. Within this framework, a number of important innovative ideas have

Marpe, Detlev

370

Project Profile: Maintenance-Free Stirling Engine for High-Performance Dish CSP  

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

Infinia, under the CSP R&D FOA, is developing a 30 kW CSP system that utilizes a multi-cylinder, free-piston Stirling engine to achieve the goal LCOE of $0.07$0.10/kWh by 2015 and $0.05$0.07/kWh by 2020.

371

Category:Electromagnetic Profiling Techniques | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Electromagnetic Profiling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Electromagnetic Profiling Techniques page? For detailed information on Electromagnetic Profiling Techniques, click here. Category:Electromagnetic Profiling Techniques Add.png Add a new Electromagnetic Profiling Techniques Technique Pages in category "Electromagnetic Profiling Techniques" This category contains only the following page. F Frequency-Domain Electromagnetic Survey Retrieved from "http://en.openei.org/w/index.php?title=Category:Electromagnetic_Profiling_Techniques&oldid=689835"

372

LINE PROFILES OF CORES WITHIN CLUSTERS. I. THE ANATOMY OF A FILAMENT  

SciTech Connect

Observations are revealing the ubiquity of filamentary structures in molecular clouds. As cores are often embedded in filaments, it is important to understand how line profiles from such systems differ from those of isolated cores. We perform radiative transfer calculations on a hydrodynamic simulation of a molecular cloud in order to model line emission from collapsing cores embedded in filaments. We model two optically thick lines, CS(2-1) and HCN(1-0), and one optically thin line, N{sub 2}H{sup +}(1-0), from three embedded cores. In the hydrodynamic simulation, gas self-gravity, turbulence, and bulk flows create filamentary regions within which cores form. Though the filaments have large dispersions, the N{sub 2}H{sup +}(1-0) lines indicate subsonic velocities within the cores. We find that the observed optically thick line profiles of CS(2-1) and HCN(1-0) vary drastically with viewing angle. In over 50% of viewing angles, there is no sign of a blue asymmetry, an idealized signature of infall motions in an isolated spherical collapsing core. Profiles that primarily trace the cores, with little contribution from the surrounding filament, are characterized by a systematically higher HCN(1-0) peak intensity. The N{sub 2}H{sup +}(1-0) lines do not follow this trend. We demonstrate that red asymmetric profiles are also feasible in the optically thick lines, due to emission from the filament or one-sided accretion flows onto the core. We conclude that embedded cores may frequently undergo collapse without showing a blue asymmetric profile, and that observational surveys including filamentary regions may underestimate the number of collapsing cores if based solely on profile shapes of optically thick lines.

Smith, Rowan J.; Shetty, Rahul; Klessen, Ralf S. [Zentrum fuer Astronomie der Universitaet Heidelberg, Institut fuer Theoretische Astrophysik, Albert-Ueberle-Str. 2, D-69120 Heidelberg (Germany); Stutz, Amelia M., E-mail: rowanjsmith.astro@googlemail.com [Max-Planck-Institut fuer Astronomie, Koenigstuhl 17, D-69117 Heidelberg (Germany)

2012-05-01T23:59:59.000Z

373

State Nuclear Profiles - Energy Information Administration  

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

Nuclear Reports Nuclear Reports State Nuclear Profiles Data for 2010 | Release Date: April 26, 2012 | Next Release: April 2014 | full report Archived State Nuclear Profiles Choose a Year: Select a Year 2009 Go State Net summer capacity (megawatts) Rank Net generation (thousand megawatthours) Rank Alabama 5,043 5 37,941 7 Arizona 3,937 12 31,200 11 Arkansas 1,835 19 15,023 19 California 4,390 8 32,201 10 Connecticut 2,103 18 16,750 17 Florida 3,924 13 23,936 15 Georgia 4,061 10 33,512 8 Illinois 11,441 1 96,190 1 Iowa 601 31 4,451 31 Kansas 1,160 27 9,556 26 Louisiana 2,142 16 18,639 16 Maryland 1,705 20 13,994 20 Massachusetts 685 29 5,918 29 Michigan 3,947 11 29,625 12 Minnesota 1,594 21 13,478 21 Mississippi 1,251 23 9,643 25

374

The Laboratory Performance Appraisal Process and Performance...  

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

Modification No. 0164 Appendix B i ATTACHMENT J.2 APPENDIX B PERFORMANCE EVALUATION MEASUREMENT PLAN (PEMP) Applicable to the Operation of Ames Laboratory Contract No....

375

EMPIRICAL MODELS FOR DARK MATTER HALOS. II. INNER PROFILE SLOPES, DYNAMICAL PROFILES, AND /3  

E-Print Network (OSTI)

simulated dark matter halos better than a Navarro- Frenk-WhiteYlike model with an equal number of parameters]) density profiles of simulated dark matter halos (Navarro et al. 2004). Intriguingly, this function was shown to provide a better fit than thethree-parameter Navarro-Frenk-White (NFW)Ylike model

Terzi, Bal?a

376

Anode performance | EMSL  

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

Anode performance New hybrid anode design to improve long-term performance of batteries PNNL researchers have developed a hybrid anode made of graphite and lithium that...

377

IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES, VOL. 32, NO. 2, JUNE 2009 447 Temperature Profile Inside Microscale Thermoelectric  

E-Print Network (OSTI)

Temperature Profile Inside Microscale Thermoelectric Module Acquired Using Near-Infrared Thermoreflectance-scale thermoelectric modules. By determining localized sources of Joule heating, one can identify manufacturing errors and generate design rules that can improve the cooling performance of the thermoelectric device. Index Terms

378

Management and Performance PERFORMANCE REPORTING AND PLANNING  

E-Print Network (OSTI)

AND PLANNING M&P-144 the Agency's workforce is well informed of major Agency initiatives and human capitalManagement and Performance PERFORMANCE REPORTING AND PLANNING M&P-143 Strategic Goal 5: Enable.1: IDENTIFY, CULTIVATE, AND SUSTAIN A DIVERSE WORKFORCE AND INCLUSIVE WORK ENVIRONMENT THAT IS NEEDED

379

Impact of Profile Variation on the Equilibrium and Stability of NSTX  

SciTech Connect

MHD equilibrium and stability analyses have been performed in support of the design and initial experimental operation of the National Spherical Torus Experiment (NSTX). Free-boundary equilibria have been generated to determine several aspects of the anticipated plasma configurations including the stability and shape domain. Boundary shape determination has been studied by considering random variations of modeled signals from the NSTX magnetic diagnostic set. The impact of equilibrium profile variations on the ideal low-n kink and ballooning stability of high-{beta} configurations was also determined to assess the robustness of the stable operating space of NSTX. The profiles used included local perturbations from previously reported optimization studies and experimental pressure profiles from the START spherical torus, the DIII-D tokamak, and TRANSP modeling. The largest {beta}-limits occur in plasmas with broader pressure profiles and are set by the n = 1 kink/ballooning mode. Values of {beta} = 38% are achieved in the presence of a conformal conducting wall at b/a = 0.25. The corresponding calculated no-wall {beta}-limit is 22%. The lowest limits ({beta} = 19%) were generated in plasmas with greater pressure peaking, and are set by high-n ballooning modes.

D. Gates; F. Paoletti; J. Manickam; S.A. Sabbagh; S.M. Kaye [and others

1999-06-01T23:59:59.000Z

380

Building Technologies Program - Funding Profile by Subprogram  

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

Efficiency and Renewable Energy/ Efficiency and Renewable Energy/ Building Technologies FY 2013 Congressional Budget Building Technologies Program Funding Profile by Subprogram Non-Comparable Structure (Dollars in Thousands) FY 2011 Current a FY 2012 Enacted FY 2013 Request Building Technologies Program Commercial Buildings Integration 37,308 31,913 61,079 Emerging Technologies 75,694 84,694 108,344 Equipment and Buildings Standards 35,000 58,302 98,250 Residential Buildings Integration 37,308 31,282 35,872 Technology Validation and Market Introduction 22,000 8,500 0 SBIR/STTR 0 4,513 6,455 Total, Building Technologies Program 207,310 219,204 310,000 Comparable Structure (Dollars in Thousands) FY 2011 Current a FY 2012 Enacted FY 2013 Request Building Technologies Program

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Electron profile stiffness and critical gradient studies  

SciTech Connect

Electron profile stiffness was studied in DIII-D L-mode discharges by systematically varying the heat flux in a narrow region with electron cyclotron heating and measuring the local change produced in {nabla}T{sub e}. Electron stiffness was found to slowly increase with toroidal rotation velocity. A critical inverse temperature gradient scale length 1/L{sub C} {approx} 3 m{sup -1} was identified at {rho}=0.6 and found to be independent of rotation. Both the heat pulse diffusivity and the power balance diffusivity, the latter determined by integrating the measured dependence of the heat pulse diffusivity on -{nabla}T{sub e}, were fit reasonably well by a model containing a critical inverse temperature gradient scale length and varying linearly with 1/L{sub T} above the threshold.

DeBoo, J. C.; Petty, C. C.; Burrell, K. H.; Smith, S. P. [General Atomics, P.O. Box 85608, San Diego, California 92186-5608 (United States); White, A. E. [Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Doyle, E. J.; Hillesheim, J. C.; Rhodes, T. L.; Schmitz, L.; Wang, G.; Zeng, L. [University of California-Los Angeles, Los Angeles, California 90095-7099 (United States); Holland, C. [University of California-San Diego, La Jolla, California 92093-0417 (United States); McKee, G. R. [University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States)

2012-08-15T23:59:59.000Z

382

US EIA Country Energy Profiles | Open Energy Information  

Open Energy Info (EERE)

US EIA Country Energy Profiles US EIA Country Energy Profiles Jump to: navigation, search Tool Summary LAUNCH TOOL Name: US EIA Country Energy Profiles Agency/Company /Organization: United States Department of Energy Partner: United States Energy Information Agency Sector: Energy Topics: GHG inventory, Background analysis Website: tonto.eia.doe.gov/country/index.cfm Equivalent URI: cleanenergysolutions.org/content/country-energy-profiles-website Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. References: US EIA Country Energy Profiles[1] This reegle website provides comprehensive energy profiles for all countries with information from reliable sources such as UN or the World

383

Leadership in Energy and Environmental Design (LEED) Project Profiles |  

Open Energy Info (EERE)

Leadership in Energy and Environmental Design (LEED) Project Profiles Leadership in Energy and Environmental Design (LEED) Project Profiles Jump to: navigation, search Tool Summary Name: Leadership in Energy and Environmental Design (LEED) Project Profiles Agency/Company /Organization: U.S. Green Building Council Sector: Energy Focus Area: Buildings Phase: Create a Vision, Evaluate Options, Develop Goals Resource Type: Case studies/examples User Interface: Website Website: www.usgbc.org/DisplayPage.aspx?CMSPageID=1721 Cost: Free The LEED Project Profile (page) is repository of LEED certified projects which provides profiles for specific projects, including strategies which were included in the project. This page can be used to generate ideas for various building types through a community. Overview The LEED Project Profile (page) is repository of LEED certified projects

384

Category:Electrical Profiling Configurations | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Electrical Profiling Configurations Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Electrical Profiling Configurations page? For detailed information on Electrical Profiling Configurations as exploration techniques, click here. Category:Electrical Profiling Configurations Add.png Add a new Electrical Profiling Configurations Technique Pages in category "Electrical Profiling Configurations" The following 3 pages are in this category, out of 3 total. D DC Resistivity Survey (Dipole-Dipole Array) DC Resistivity Survey (Mise-Á-La-Masse)

385

Fermilab | Directorate | Director Profiles | Carl Strawbridge  

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

Carl Strawbridge Carl Strawbridge Interim Head, Integrated Planning & Performance Management I head the Office of Integrated Planning & Performance Management (IPPM), which supports the sectors and the Directorate. The office of IPPM provides systems and management processes for institutional planning and performance assessment and evaluation, as well as leading multi-year, forward-looking planning and integration of institutional plans, programs, projects, operations and budgets. In addition the office of IPPM develops, implements and maintains integrated laboratory systems and management processes for strategic planning and goal setting, project and program oversight, enterprise risk management and performance planning and oversight. I received my B.S. degree from the US Naval Academy and Masters Degrees

386

TABLE OF CONTENTS Organizational Profile i  

E-Print Network (OSTI)

83%. MESA leads its industry in quality and performance improvement. As the only ISO 9001 certified.1b. Operational Process Effectiveness Results 34 7.1c. Strategy Implementation Results 37 7.2a

Magee, Joseph W.

387

Hybrid Performance of the Pierre Auger Observatory  

E-Print Network (OSTI)

A key feature of the Pierre Auger Observatory is its hybrid design, in which ultra high energy cosmic rays are detected simultaneously by fluorescence telescopes and a ground array. The two techniques see air showers in complementary ways, providing important cross-checks and measurement redundancy. Much of the hybrid capability stems from the accurate geometrical reconstruction it achieves, with accuracy better than either the ground array detectors or a single telescope could achieve independently. We have studied the geometrical and longitudinal profile reconstructions of hybrid events. We present the results for the hybrid performance of the Observatory, including trigger efficiency, energy and angular resolution, and the efficiency of the event selection.

B. R. Dawson; for the Pierre Auger Collaboration

2007-06-08T23:59:59.000Z

388

Project Profile: Low-Cost, Lightweight Solar Concentrators |...  

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

Cost, Lightweight Solar Concentrators Project Profile: Low-Cost, Lightweight Solar Concentrators JPL logo The Jet Propulsion Laboratory (JPL), with funding from the 2012 SunShot...

389

Project Profile: Innovative Thermal Energy Storage for Baseload...  

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

Thermal Energy Storage for Baseload Solar Power Generation Project Profile: Innovative Thermal Energy Storage for Baseload Solar Power Generation University of South Florida logo...

390

Project Profile: Innovative Phase Change Thermal Energy Storage...  

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

Phase Change Thermal Energy Storage Solution for Baseload Power Project Profile: Innovative Phase Change Thermal Energy Storage Solution for Baseload Power Infinia logo Infinia,...

391

Project Profile: Influence of Novel Behavioral Strategies in...  

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

Influence of Novel Behavioral Strategies in Promoting the Diffusion of Solar Energy Project Profile: Influence of Novel Behavioral Strategies in Promoting the Diffusion of Solar...

392

Remote Sensing of Cirrus Particle Size Vertical Profile Using...  

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

inhomogeneity in terms of ice crystal sizes and shapes. The vertical variation of ice crystal size can alter the radiative heatingcooling profiles in cirrus cloudy...

393

Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Buildings  

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

After assessing the potential for agency size changes, a Federal agency should evaluate its greenhouse gas (GHG) emissions profile using renewable energy in buildings.

394

Characterizing Ion Profiles in Dynamic Junction Light-Emitting...  

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

advantage in applications such as light-emitting devices, transistors, and electrochromic devices, among others. Evidence suggests that the profiles of ions and...

395

Project Profile: Reducing the Cost of Thermal Energy Storage...  

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

Reducing the Cost of Thermal Energy Storage for Parabolic Trough Solar Power Plants Project Profile: Reducing the Cost of Thermal Energy Storage for Parabolic Trough Solar Power...

396

Improved Humidity Profiling by Combining Passive and Active Remote...  

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

resolution of atmospheric humidity profiles. We show preliminary results and discuss advantages and limitations related to this technique. Basic Principles The role of ground-based...

397

Project Profile: Baseload CSP Generation Integrated with Sulfur...  

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

Related Links FAQs Contact Us Offices You are here Home Concentrating Solar Power Project Profile: Baseload CSP Generation Integrated with Sulfur-Based...

398

Project Profile: Novel Thermal Energy Storage Systems for Concentratin...  

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

Solar Power Project Profile: Novel Thermal Energy Storage Systems for Concentrating Solar Power University of Connecticut logo The University of Connecticut, under the Thermal...

399

2014 Race to Zero Student Design Competition: Auburn University Profile  

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

2014 Race to Zero Student Design Competition: Auburn University Profile, as posted on the U.S. Department of Energy website.

400

Coke profile and effect on methane/ethylene conversion process.  

E-Print Network (OSTI)

??The objective of this study was to investigate the coke profile with respect to time on stream and the change of product distribution due to (more)

Al-Solami, Bandar

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Design and Implementation of an Ion Beam Profiling System.  

E-Print Network (OSTI)

?? The work describes the development of a reliable device for profiling anion beam in the intensity cross section. A sensor head consisting of a (more)

Stude, Joan

2009-01-01T23:59:59.000Z

402

Project Profile: Novel Molten Salts Thermal Energy Storage for...  

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

Novel Molten Salts Thermal Energy Storage for Concentrating Solar Power Generation Project Profile: Novel Molten Salts Thermal Energy Storage for Concentrating Solar Power...

403

LIMITATIONS ON MEASURING A TRANSVERSE PROFILE OF ULTRA- DENSE...  

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

LIMITATIONS ON MEASURING A TRANSVERSE PROFILE OF ULTRA- DENSE ELECTRON BEAMS WITH SCINTILLATORS A. Murokh * , J. Rosenzweig, University of California, Los Angeles, CA 90095-1547,...

404

Relativistic formulation for the Doppler-broadened line profile  

SciTech Connect

Profiles of spectral lines due to the thermal motion of light-emitting particles are formulated based on the classical and the relativistic Doppler effects, respectively. For the classical case, the well-known Doppler-broadened line profile is reproduced. For the relativistic case, the line profile obtained is asymmetrically broadened with increasing temperature. However, the peak frequency remains unshifted, in contrast to blueshifted, as has been predicted in the current literature. Reasoning is given as to why the relativistic Doppler-broadened line profile currently accepted is probably invalid.

Huang, Young-Sea; Chiue, Juang-Han; Huang, Yi-Chi; Hsiung, Te-Chih [Department of Physics, Soochow University, Shih-Lin, Taipei, Taiwan (China); Department of Physics, National Central University, Chung-Li, Taiwan (China)

2010-07-15T23:59:59.000Z

405

Project Profile: Deep Eutectic Salt Formulations Suitable as...  

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

Deep Eutectic Salt Formulations Suitable as Advanced Heat Transfer Fluids Project Profile: Deep Eutectic Salt Formulations Suitable as Advanced Heat Transfer Fluids Halotechnics...

406

Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting  

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

For evaluating a greenhouse gas (GHG) profile for employee commuting, data on behavior and attitudes are best collected through an agency-wide survey.

407

Project Profile: Next-Generation Parabolic Trough Collectors...  

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

Trough Collectors and Components for CSP Applications Project Profile: Next-Generation Parabolic Trough Collectors and Components for CSP Applications Abengoa logo Abengoa...

408

Contractor Past Performance Information  

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

December 2009) December 2009) 1 Contractor Performance Information Guiding Principles The primary purpose of past performance evaluations is to ensure that accurate data on contractor performance is current and available for use in source selections. A past performance evaluation report provides a record of a contractor's performance, both positive and negative, on a given contract during a specified period of time. The quality of the narrative component supporting the past performance information evaluation is critical. If the evaluator takes the time to prepare an accurate and complete report, the evaluator helps ensure better quality in the products and services DOE buys now and those DOE plans to buy in the future.

409

Measurements of radial profiles of ion cyclotron resonance heating on the Tandem Mirror Experiment-Upgrade  

SciTech Connect

A small Radial Energy Analyzer (REA) was used on the Tandem Mirror Experiment-Upgrade (TMX-U), at Lawerence Livermore National Laboratory, to investigate the radial profiles of ion temperature, density, and plasma potential during Ion Cyclotron Resonance Heating (ICRH). The probe has been inserted into the central-cell plasma at temperatures of 200 eV and densities of 3 x 10/sup 12/cm/sup /minus 3// without damage to the probe, or major degradation of the plasma. This analyzer has indicated an increase in ion temperature from near 20 eV before ICRH to near 150 eV during ICRH, with about 60 kW of broadcast power. The REA measurements were cross-checked against other diagnostics on TMX-U and found to be consistent. The ion density measurement was compared to the line-density measured by microwave interferometry and found to agree within 10 to 20%. A radial intergral of n/sub i/T/sub i/ as measured by the REA shows good agreement with the diamagnetic loop measurement of plasma energy. The radial density profile is observed to broaden during the RF heating pulses, without inducing additional radial losses in the core plasma. The radial profile of plasma is seen to vary from axially peaked, to nearly flat as the plasma conditions carried over the series of experiments. To relate the increase in ion temperature to power absorbed by the plasma, a power balance as a function of radius was performed. The RF power absorbed is set equal to the sum of the losses during ICRH, minus those without ICRH. This method accounts for more than 70% of the broadcast power using a simple power balance model. The measured radial profile of the RF heating was compared to the calculations of two codes, ANTENA and GARFIELD, to test their effectiveness as predictors of power absorption profiles for TMX-U. 62 refs., 63 figs., 7 tabs.

Falabella, S.

1988-05-11T23:59:59.000Z

410

Performance Tools and APIs on BG/P Systems | Argonne Leadership Computing  

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

Performance Tools and APIs Performance Tools and APIs Tuning and Analysis Utilities (TAU) Rice HPC Toolkit IBM HPCT Mpip gprof Profiling Tools Darshan PAPI High Level UPC API Low Level UPC API UPC Hardware BG/P dgemm Performance Tuning MPI on BGP Performance FAQs IBM References Software and Libraries Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Performance Tools and APIs on BG/P Systems MPI and OpenMP Options Tuning MPI on BGP Performance Tools Tuning and Analysis Utilities (TAU) - Instruments applications and gathers information on timings, MPI activity, and hardware performance counter events Rice HPCToolkit- Performs sample based profiling of applications and

411

Analyze Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and  

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

Vehicles and Mobile Equipment Vehicles and Mobile Equipment Analyze Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment October 7, 2013 - 11:36am Addthis YOU ARE HERE Step 2 After a Federal agency has collected detailed information about its vehicle inventory, fuel consumption, usage, mission, and alternative fuel availability, it can analyze the data to determine the most cost-effective options for petroleum reduction and greenhouse gas (GHG) mitigation. Data can be analyzed at the agency, program, fleet (or site), or vehicle level for the following purposes: Determining the most important mobile emission sources Determining whether vehicles are performing and being utilized to minimize GHG emissions Identifying mission constraints. Next Step After analyzing data for evaluating an emissions profile, the next step in

412

Residual stress profiles for mitigating fretting fatigue in gas turbine engine disks  

Science Journals Connector (OSTI)

The driving force for fretting fatigue in engine disks is the contact stresses generated by fretting of the blade and the disk surfaces in the attachment region. This paper examines the use of different residual compressive stress profiles to counteract the undesirable effects of contact stresses and to mitigate fretting fatigue. A global finite-element analysis of the disk blade assembly is first performed. The contact pressure and shear traction at the attachment region are extracted from the FEM results and used to compute the contact stress distribution. The contact stresses are then combined with the residual stresses and the bulk stresses. The overall stress distribution is then utilized in a probabilistic crack growth model to predict the risk of disk failure for a military engine under simulated loading conditions. The results are used to identify the minimum residual stress profile for mitigating fretting fatigue in engine disks.

Kwai S. Chan; Michael P. Enright; Jonathan P. Moody; Patrick J. Golden; Ramesh Chandra; Alan C. Pentz

2010-01-01T23:59:59.000Z

413

Properties of random component of longitudinal road profile influenced by local obstacles  

Science Journals Connector (OSTI)

This paper describes the statistical properties of the pure random component of longitudinal road profile. The individual obstacles were removed from the road profile by median filtering approach. A total of 25,830 test sections records from the long-term pavement performance (LTPP) programme were analysed. The differences between asphalt concrete (AC) and cement concrete (CC) wearing courses were outlined. The comparison was shown on statistics (mean, median, standard deviation values) and probability density functions (PDFs) of contemporary used road indices (international roughness index (IRI), road elevation variance, power spectrum density (PSD) parameters in one-, two- and three-wavelength bands, etc.). The simulation study revealed the marked influence of obstacles on the road indices. The spectral properties of the pure random part were quantified.

Peter Mucka; Oldrich Kropac

2009-01-01T23:59:59.000Z

414

Concept of spinsonde for multi-cycle measurement of vertical wind profile of tropical cyclones  

E-Print Network (OSTI)

Tropical cyclones and cyclogenesis are active areas of research. Chute-operated dropsondes jointly developed by NASA and NCAR are capable of acquiring high resolution vertical wind profile of tropical cyclones. This paper proposes a chute-free vertical retardation technique (termed as spinsonde) that can accurately measure vertical wind profile. Unlike the expendable dropsondes, the spinsonde allows multi-cycle measurement to be performed within a single flight. Proof of principle is demonstrated using a simulation software and results indicate that the GPS ground speed correlates with the wind speeds to within +/-5 km/h. This technique reduces flying weight and increases payload capacity by eliminating bulky chutes. Maximum cruising speed (Vh) achieved by the spinsonde UAV is 372 km/h.

Poh, Chung-How

2014-01-01T23:59:59.000Z

415

Partner of the Year profiles in leadership | ENERGY STAR Buildings & Plants  

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

» Partner of the Year profiles in leadership » Partner of the Year profiles in leadership Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Get started with ENERGY STAR Make the business case Build an energy management program Measure, track, and benchmark Improve energy performance Industrial service and product providers Earn recognition ENERGY STAR Partner of the Year Award

416

SIMS analysis of high-performance accelerator niobium  

SciTech Connect

Niobium is used to fabricate superconducting radio frequency accelerator modules because of its high critical temperature, high critical magnetic field, and easy formability. Recent experiments have shown a very significant improvement in performance (over 100%) after a high-temperature bake at 1400 degrees C for 3h. SIMS analysis of this material showed the oxygen profile was significantly deeper than the native oxide with a shape that is indicative of diffusion. Positive secondary ion mass spectra showed the presence of Ti with a depth profile similar to that of O. It is suspected that Ti is associated with the performance improvement. The source of Ti contamination in the anneal furnace has been identified, and a new furnace was constructed without Ti. Initial results from the new furnace do not show the yield improvement. Further analyses should determine the relationship of Ti to cavity performance.

Maheshwari, P. [NCSU; Stevie, F. A. [NCSU; Myneni, Ganapati Rao [JLAB; Rigsbee, J, M. [NCSU; Dhakal, Pashupati [JLAB; Ciovati, Gianluigi [JLAB; Griffis, D. P. [NCSU

2014-11-01T23:59:59.000Z

417

Hopper Performance and Optimization  

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

Optimization Optimization Performance and Optimization Compiler Comparisons Comparison of different compilers with different options on several benchmarks. Read More » Using OpenMP Effectively Performance implications and case studies of codes combining MPI and OpenMP Read More » Reordering MPI Ranks Reordering MPI ranks can result in improved application performance depending on the communication patterns of the application. Read More » Application Performance Variability on Hopper How an application is placed across Hopper's roughly 6300 compute nodes can affect its performance. See a study of application runtimes vs node placement. Read More » Hopper Performance Monitoring Benchmarking performance of scientific applications on Hopper Read More » Hopper:Improving I/O performance to GSCRATCH and PROJECT

418

Sustainability Performance Office | Department of Energy  

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

Sustainability Performance Office Sustainability Performance Office Sustainability Performance Office Sustainability Performance Office Sustainability Performance Office...

419

Buildings Performance Database Overview  

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

Buildings Performance Database Overview, from the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

420

Performance Tested Comfort Systems  

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

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

CP-Violating Profile of the Electroweak Bubble Wall  

Science Journals Connector (OSTI)

......November 1995 research-article Articles CP-Violating Profile of the Electroweak Bubble...electroweak baryogenesis, the profile of the CP violating bubble wall, created at the first-order...solutions. Two of them smoothly connect the CP-violating broken phase and the symmetric......

Koichi Funakubo; Akira Kakuto; Shoichiro Otsuki; Kazunori Takenaga; Fumihiko Toyoda

1995-11-01T23:59:59.000Z

422

Security-oriented Data Grids for Microarray Expression Profiles  

E-Print Network (OSTI)

Security-oriented Data Grids for Microarray Expression Profiles Richard SINNOTT a,1 Christopher and comparison of microarray experiment results. Keywords. Microarray Expression Profiles, Grid security shedding light and understanding for ex- ample on biological processes. The BBSRC funded Grid enabled

Glasgow, University of

423

Identifying trait clusters by linkage profiles: application in genetical genomics  

Science Journals Connector (OSTI)

......point, s.p., mapping or CIM), and reject when , are derived...the LOD score profiles with CIM, and then using those new profiles...processes, as determined by Gene Ontology (GO) annotations (see Supplementary...experimental results with Gene Ontology (GO) annotations show that......

Joshua N. Sampson; Steven G. Self

2008-04-01T23:59:59.000Z

424

Continuous Seismic Reflexion Profiles in the Red Sea  

Science Journals Connector (OSTI)

...October 1970 research-article Continuous Seismic Reflexion Profiles in the Red Sea J. D. Phillips D. A. Ross Twenty continuous seismic reflexion profiles have been made across...in the deeper axial trough. A strong seismic reflector is observed at depths up to...

1970-01-01T23:59:59.000Z

425

Domain boundary prediction based on profile domain linker propensity index  

Science Journals Connector (OSTI)

Successful prediction of protein domain boundaries provides valuable information not only for the computational structure prediction of multi-domain proteins but also for the experimental structure determination. In this work, a novel index at the profile ... Keywords: Domain, Domain linker, Profile

Qiwen Dong; Xiaolong Wang; Lei Lin; Zhiming Xu

2006-04-01T23:59:59.000Z

426

Lithium intercalated graphite : experimental Compton profile for stage one  

E-Print Network (OSTI)

L-301 Lithium intercalated graphite : experimental Compton profile for stage one G. Loupias, J différence des profils Compton est compatible avec un transfert total de l'électron de conduction du lithium électronique due à l'insertion. Abstract. 2014 Electron momentum distribution of the first stage lithium

Paris-Sud XI, Université de

427

Using Dublin Core application profiles to manage diverse metadata developments  

Science Journals Connector (OSTI)

This paper discusses the use of Dublin Core application profiles at the British Library as part of a resource discovery strategy. It shows how they can be used to control the proliferation of metadata formats in digitisation activity and provide interoperability ... Keywords: British library, Dublin Core application profiles, SRU, Z39.50, gateway, interoperability, metadata formats, resource discovery strategy

Robina Clayphan; Bill Oldroyd

2005-09-01T23:59:59.000Z

428

High Performance Home Cost Performance Trade-Offs: Production...  

Energy Savers (EERE)

High Performance Home Cost Performance Trade-Offs: Production Builders - Building America Top Innovation High Performance Home Cost Performance Trade-Offs: Production Builders -...

429

Performance Computing with  

E-Print Network (OSTI)

High Performance Computing with Iceberg. Mike Griffiths Bob Booth November 2005 AP-Unix4 © University of Sheffield #12;Bob Booth High Performance Computing with Iceberg Contents 1. REVIEW OF AVAILABLE 23 7.1 USING FUSE TO MOUNT FILE SYSTEMS ON ICEBERG 23 2 #12;Bob Booth High Performance Computing

Martin, Stephen John

430

High Performance Computing in  

E-Print Network (OSTI)

High Performance Computing in Bioinformatics Thomas Ludwig (t.ludwig@computer.org) Ruprecht PART I: High Performance Computing Thomas Ludwig PART II: HPC Computing in Bioinformatics Alexandros #12;© Thomas Ludwig, Alexandros Stamatakis, GCB'04 3 PART I High Performance Computing Introduction

Stamatakis, Alexandros

431

Internet Performance Measurement Collaborators  

E-Print Network (OSTI)

Internet Performance Measurement Collaborators Cross Industry Working Team (XIWT) High Performance of the timestamp mechanism in the ANS Surveyor Probe device FY98 · GITS Internet Performance Measurement Toolkit developed FY99 · GITS measurement systems deployed in the field FY00 Goal To advance the state of the art

432

IR DIAL performance modeling  

SciTech Connect

We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

Sharlemann, E.T.

1994-07-01T23:59:59.000Z

433

ARM - Evaluation Product - Broadband Heating Rate Profile Project (BBHRP)  

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

ProductsBroadband Heating Rate Profile Project ProductsBroadband Heating Rate Profile Project (BBHRP) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Broadband Heating Rate Profile Project (BBHRP) 2000.03.01 - 2006.02.28 Site(s) SGP General Description The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties

434

Method and apparatus for measuring irradiated fuel profiles  

DOE Patents (OSTI)

A new apparatus is used to substantially instantaneously obtain a profile of an object, for example a spent fuel assembly, which profile (when normalized) has unexpectedly been found to be substantially identical to the normalized profile of the burnup monitor Cs-137 obtained with a germanium detector. That profile can be used without normalization in a new method of identifying and monitoring in order to determine for example whether any of the fuel has been removed. Alternatively, two other new methods involve calibrating that profile so as to obtain a determination of fuel burnup (which is important for complying with safeguards requirements, for utilizing fuel to an optimal extent, and for storing spent fuel in a minimal amount of space). Using either of these two methods of determining burnup, one can reduce the required measurement time significantly (by more than an order of magnitude) over existing methods, yet retain equal or only slightly reduced accuracy.

Lee, David M. (Los Alamos, NM)

1982-01-01T23:59:59.000Z

435

Profiling 1366 Technologies: One Year Later  

SciTech Connect

Last January, we took a look at how ARPA-E performer, 1366 Technologies is working to dramatically reduce the cost of solar energy. A year later, we revisited their headquarters in Lexington, MA to see the progress they've made.

Van Mierlo, Frank; Sachs, Ely

2011-01-01T23:59:59.000Z

436

Project Profile: Scattering Solar Thermal Concentrators  

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

Pennsylvania State University, under the 2012 SunShot Concentrating Solar Power (CSP) R&D FOA, is designing and testing a novel solar collector system that relies on stationary optics, avoiding the need for mirror movement. The system is capable of achieving optical performance equal to state-of-the-art parabolic trough systems, but at a lower cost.

437

Influence of different illumination profiles on the on-state resistances of silicon carbide photoconductive semiconductor switches  

SciTech Connect

Characteristics of a silicon-carbide (SiC) photoconductive switch under different illumination profiles are presented. We triggered a V-doped semi-insulated 6H-SiC switch with lateral geometry using a laser beam of 532-nm wavelength. Photoconductivity tests for different spot profiles and locations show that such switches achieve a minimum on-state resistance when the switching gap is illuminated. The differences between on-state resistances are small for various partial illuminations of the switching gap. Semiconductor modeling is used to simulate the electric field and current profiles for different partial illuminations. The simulation results show poor on-state switch performance when partially illuminated. Based on these results, a more revealing circuit model for the switch matches well with experimental results for partial illuminations.

Wang, Langning, E-mail: wanglangning@126.com; Xun, Tao; Yang, Hanwu; Liu, Jinliang; Zhang, Yu [College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha 410073 (China)] [College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha 410073 (China)

2014-04-15T23:59:59.000Z

438

Contractor Past Performance Information  

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

March 2013) March 2013) 1 Contractor Performance Information This updated chapter incorporates the Office of Federal Procurement Policy (OFPP) policy that effective October 1, 2010, Contractor Performance Assessment Reporting System (CPARS) is the single government-wide feeder system for past performance information reporting. This chapter supplements the CPARS Guide and related user manuals for all modules available at the CPARS website. The CPARS Guide includes consistent processes and procedures for agencies to use when reporting on past performance information and should be read in conjunction with Federal Acquisition Regulation (FAR) Part 42.15 and other FAR Parts related to past performance information. When needed, this Acquisition Guide Chapter provides

439

RHIC BPM SYSTEM MODIFICATIONS AND PERFORMANCE.  

SciTech Connect

The RHIC beam position monitor (BPM) system provides independent average orbit and turn-by-turn (TBT) position measurements. In each ring, there are 162 measurement locations per plane (horizontal and vertical) for a total of 648 BPM planes in the RHIC machine. During 2003 and 2004 shutdowns, BPM processing electronics were moved from the RHIC tunnel to controls alcoves to reduce radiation impact, and the analog signal paths of several dozen modules were modified to eliminate gain-switching relays and improve signal stability. This paper presents results of improved system performance, including stability for interaction region beam-based alignment efforts. We also summarize performance of recently-added DSP profile scan capability, and improved million-turn TBT acquisition channels for 10 Hz triplet vibration, nonlinear dynamics, and echo studies.

SATOGATA, T.; CALAGA, R.; CAMERON, P.; ET AL.

2005-05-16T23:59:59.000Z

440

ARM - 2008 Performance Metrics  

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

8 Performance Metrics 8 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2008 Performance Metrics Each year, the ARM Program must submit to DOE an overall performance measure related to scientific achievement. The overall performance measure includes specific metrics for reporting progress each quarter. This reporting process includes support documentation (usually a report or data file) appropriate for the metric. Overall Performance Measures

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

High Performance Computing  

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

Information Science, Computing, Applied Math » Information Science, Computing, Applied Math » High Performance Computing High Performance Computing Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of strategic national interest Gary Grider High Performance Computing Division Leader Randal Rheinheimer High Performance Computing Deputy Division Leader Contact Us Carol Hogsett Student/Internship Opportunities Email Division Office Email Managing world-class supercomputing centers Powerall simulations modeling Read caption + The Powerwall is used by LANL scientists to view objects and processes in 3D. High Performance Computing video 13:01 Gary Grider, HPC Divison Leader The High Performance Computing (HPC) Division supports the Laboratory mission by managing world-class Supercomputing Centers.

442

Mechanically versus electro-magnetically braked cycle ergometer: performance and energy cost of the Wingate Anaerobic Test  

Science Journals Connector (OSTI)

Performance and metabolic profiles of the Wingate Anaerobic Test (WAnT) were compared between a mechanically resisted (ME) and an electro-magnetically braked (EE) cycle ergometer. Fifteen healthy subjects (24....

D. Micklewright; A. Alkhatib; R. Beneke

2006-04-01T23:59:59.000Z

443

Graphic profile In the event of problems of interpretation or differences between the Swedish and  

E-Print Network (OSTI)

profile? 1.1 Brand strategy 2 Basic concepts 2.1 The graphic profile ­ elements and rules 2.2 Name 2 and image. Our graphic profile and logotype comprise important parts of our communication. Background We. The graphic profile Our graphic profile is based on extensive work on our identity and image and helps us give

Johannesson, Henrik

444

Buildings Performance Database  

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

DOE Buildings Performance DOE Buildings Performance Database Paul Mathew Lawrence Berkeley National Laboratory pamathew@lbl.gov (510) 486 5116 April 3, 2013 Standard Data Spec API 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * Large-scale high-quality empirical data on building energy performance is critical to support decision- making and increase confidence in energy efficiency investments. * While there are a many potential sources for such data,

445

Computational fluid dynamics study of wind turbine blade profiles at low Reynolds numbers for various angles of attack  

Science Journals Connector (OSTI)

Airfoil data are rarely available for Angles Of Attack (AOA) over the entire range of 180. This is unfortunate for the wind turbine designers because wind turbine airfoils do operate over this entire range. In this paper an attempt is made to study the lift and drag forces on a wind turbine blade at various sections and the effect of angle of attack on these forces. Aerodynamic simulations of the steady flow past two-dimensional wind-turbine blade-profiles developed by the National Renewable Energy Laboratory (NREL) at low Reynolds number will be performed. The aerodynamic simulation will be performed using Computational Fluid Dynamics (CFD) techniques. The governing equations used in the simulations are the Reynolds-Average-Navier-Stokes (RANS) equations. The simulations at different wind speeds will be performed on the S809 and the S826 blade profiles. The S826 blade profile is considered in this study because it is the most suitable blade profile for the wind conditions in Egypt in the site of Gulf El-Zayt on the red sea. Lift and drag forces along with the angle of attack are the important parameters in a wind turbine system. These parameters determine the efficiency of the wind turbine. The lift and drag forces are computed over the entire range of AOA of 180 at low Reynolds numbers. The results of the analysis showed that the AOA between 3 and 8 have high Lift/Drag ratio regardless of the wind speed and the blade profile. The numerical results are compared with wind tunnel measurements at the available limited range of the angle of attack. In addition the numerical results are compared with the results obtained from the equations developed by Viterna and Janetzke for deep stall. The comparisons showed that the used CFD code can accurately predict the aerodynamic loads on the wind-turbine blades.

2012-01-01T23:59:59.000Z

446

Water Energy Load Profiling (WELP) Tool | Open Energy Information  

Open Energy Info (EERE)

Water Energy Load Profiling (WELP) Tool Water Energy Load Profiling (WELP) Tool Jump to: navigation, search Tool Summary Name: Water Energy Load Profiling (WELP) Tool Agency/Company /Organization: California Public Utilities Commission (CPUC) Sector: Energy, Water Focus Area: Energy Efficiency, - Embodied Energy, Water Conservation Phase: Determine Baseline, "Evaluate Effectiveness and Revise" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property. Topics: GHG inventory, Policies/deployment programs, Resource assessment, Background analysis

447

Guidelines for Performance Measurement  

Directives, Delegations, and Requirements

Federal agencies, states, businesses, and foreign governments are increasingly relying on performance measurement information to help chart progress in increasingly frugal times. No cancellations.

1996-06-30T23:59:59.000Z

448

Contractor Past Performance Information  

Office of Environmental Management (EM)

needs against market conditions. Requiring vendors to provide sufficient pricing usage, and performance data to enable the government to ensure we are receiving the best...

449

Superior Energy Performance  

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

Industrial facilities certified to Superior Energy Performance (SEP) are leaders in energy management. These facilities have met the ISO 50001 standard and have improved their energy performance up to 25% over three years or up to 40% over 10 years. SEP provides guidance, tools, and protocols to drive deeper, more sustained savings from ISO 50001. To become certified, facilities must implement an energy management system that meets the ISO 50001 standard and demonstrate improved energy performance. An independent third party audits each facility to verify achievements and qualify it at the Silver, Gold, or Platinum level, based on performance. This certification emphasizes measureable savings through a transparent process.

450

Contractor Past Performance Information  

Energy Savers (EERE)

and Project Management. Acquisition Guide ---Chapter 42.15 (September 2013) 4 PAST PERFORMANCE REPORTING AND FAPIIS DATA MANAGEMENT REPORTS Report Description...

451

Annual Performance Report  

Office of Legacy Management (LM)

left blank U.S. Department of Energy Annual Performance Report, Shiprock, New Mexico October 2014 Doc. No. S12021 Page i Contents Abbreviations ......

452

Occupational Safety Performance  

Office of Environmental Management (EM)

this report (July 2012). All data has not yet been submitted to CAIRS. 1 Occupational Safety Performance Comparable Industry, Average TRC Rate Comparable Industry, Average DART...

453

Performance and Optimization  

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

Math Library Performance Core Specialization Hyper-Threading DLFM library tools for large scale dynamic applications Chapel Shared and Dynamic Libraries Cluster Compatibility Mode...

454

Automation Performance Index.  

E-Print Network (OSTI)

??Automation is intended to improve overall building performance. Building Automation Systems (BAS) are attractive and popular due to their promise of increased operational effectiveness. BAS (more)

Makarechi, Shariar

2006-01-01T23:59:59.000Z

455

PDSF Performance and Optimization  

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

Optimization Performance and Optimization Running Jobs Efficiently This page defines job efficiency and how to measure the efficiency of your jobs. Read More PDSF IO Monitoring...

456

Monthly Performance Report  

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

be performed to evaluate one of several alternative routings for the proposed natural gas pipeline. Commercial utility providers (primarily phone and fiber-optic lines) in...

457

MSC Monthly Performance Report  

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

is within 90- 100% of required tests - - - - - - - - - J17-1 SSE Operational Readiness Index - - - - - - - - - J18-1 SSE FY 2010 Hanford Training Baseline Performance...

458

.NET High Performance Computing.  

E-Print Network (OSTI)

?? Graphics Processing Units (GPUs) have been extensively applied in the High Performance Computing (HPC) community. HPC applications require additional special programming environments to improve (more)

Ou, Hsuan-Hsiu

2012-01-01T23:59:59.000Z

459

Building America Top Innovations Hall of Fame Profile … Unvented, Conditioned Crawlspaces  

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

have found that have found that in humid parts of the United States, closed, conditioned crawlspaces perform better than vented crawlspaces, reducing moisture problems and increasing energy efficiency. Building America research on unvented crawlspaces has demonstrated 15% to 18% less energy consumption for heating and cooling while reducing humidity over 20%. These results have substantially influenced changes in the 2009 and 2012 versions of the International Residential Code (R408.3) allowing unvented, conditioned crawlspaces. Thousands of homes have now been constructed with this important innovation. BUILDING AMERICA TOP INNOVATIONS HALL OF FAME PROFILE INNOVATIONS CATEGORY: 1. Advanced Technologies and Practices 1.1 Building Science Solutions Unvented, Conditioned

460

Density profiles of Ar adsorbed in slits of CO_2: spontaneous symmetry breaking  

E-Print Network (OSTI)

A recently reported symmetry breaking of density profiles of fluid argon confined by two parallel solid walls of carbon dioxide is studied. The calculations are performed in the framework of a nonlocal density functional theory. It is shown that the existence of such asymmetrical solutions is restricted to a special choice for the adsorption potential, where the attraction of the solid-fluid interaction is reduced by the introduction of a hard-wall repulsion. The behavior as a function of the slit's width is also discussed. All the results are placed in the context of the current knowledge on this matter.

Leszek Szybisz; Salvador A. Sartarelli

2007-10-31T23:59:59.000Z

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Vacancy profile in reverse osmosis membranes studied by positron annihilation lifetime measurements and molecular dynamics simulations  

Science Journals Connector (OSTI)

The positron annihilation technique using a slow positron beam can be used for the study of the vacancy profiles in typical reverse osmosis (RO) membranes. In this study, the vacancy profile in the polyamide membrane that exhibits a high permselectivity between ions and water was studied using the positron annihilation technique and molecular dynamics simulations. Ortho-positronium (o-Ps) lifetimes in the surface region of the membranes were evaluated by using a slow positron beam. The diffusion behavior of Na+ and water in the polyamides was simulated by molecular dynamics (MD) methods using the TSUBAME2 supercomputer at the Tokyo Institute of Technology and discussed with the vacancy profile probed by the o-Ps. The results suggested that the large hydration size of Na+ compared to the vacancy size in the polyamides contributes to the increased diffusivity selectivity of water/Na+ that is related to the NaCl desalination performance of the membrane. Both the hydration size of the ions and the vacancy size appeared to be significant parameters to discuss the diffusivity selectivity of water/ions in typical polyamide membranes.

A Shimazu; H Goto; T Shintani; M Hirose; R Suzuki; Y Kobayashi

2013-01-01T23:59:59.000Z

462

Performance Confirmation Plan  

SciTech Connect

As described, the purpose of the Performance Confirmation Plan is to specify monitoring, testing, and analysis activities for evaluating the accuracy and adequacy of the information used to determine that performance objectives for postclosure will be met. This plan defines a number of specific performance confirmation activities and associated test concepts in support of the MGR that will be implemented to fulfill this purpose. In doing so, the plan defines an approach to identify key factors and processes, predict performance, establish tolerances and test criteria, collect data (through monitoring, testing, and experiments), analyze these data, and recommend appropriate action. The process of defining which factors to address under performance confirmation incorporates input from several areas. In all cases, key performance confirmation factors are those factors which are: (1) important to safety, (2) measurable and predictable, and (3) relevant to the program (i.e., a factor that i s affected by construction, emplacement, or is a time-dependent variable). For the present version of the plan, performance confirmation factors important to safety are identified using the principal factors from the RSS (CRWMS M and O 2000a) (which is derived from TSPA analyses) together with other available performance assessment analyses. With this basis, key performance confirmation factors have been identified, and test concepts and test descriptions have been developed in the plan. Other activities are also incorporated into the performance confirmation program outside of these key factors. Additional activities and tests have been incorporated when they are prescribed by requirements and regulations or are necessary to address data needs and model validation requirements relevant to postclosure safety. These other activities have been included with identified factors to construct the overall performance confirmation program.

Lindner, E.N.

2000-05-19T23:59:59.000Z

463

Indicators: Performance Statistics  

E-Print Network (OSTI)

% Quality Inspections Completed 66% +12% 95% 86% 95% 52% 81% 51% 76% Utilities: Performance Statistics of performance measures and specific color code target values. Trend status color indicators ­ identifies changes from the prior month: Key: - 54% Electric - 0% All Zones Combined Zone Breakdown Steam/Chilled Water 0

Webb, Peter

464

Performance relationship diagrams  

SciTech Connect

By describing a business function's cost drivers and graphically depicting the interrelated cost drivers serving as controls and resources to them, a visual performance model can be provided. A graphical technique, called performance relationship diagraming, has been devised that logically describes these cost drivers and their interrelationships. 2 figs.

Cary, M.J.

1991-11-01T23:59:59.000Z

465

Determination of vertical profiles of aerosol extinction, single scatter  

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

Determination of vertical profiles of aerosol extinction, single scatter Determination of vertical profiles of aerosol extinction, single scatter albedo and asymmetry parameter at Barrow. Sivaraman, Chitra Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Turner, David University of Wisconsin-Madison Category: Aerosols Efforts are currently underway to run and evaluate the Broadband Heating Rate Profile project at the ARM North Slope of Alaska (NSA) Barrow site for the time period March 2004 - February 2005. The Aerosol Best-Estimate (ABE) Value-Added Procedure (VAP) is to provide continuous estimates of vertical profiles of aerosol extinction, single-scatter albedo, and asymmetry parameter above the Northern Slopes of Alaska (NSA) facility. In the interest of temporal continuity, we have developed an algorithm that

466

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Business  

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

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Collect Data to Evaluate Greenhouse Gas Emissions Profile for Business Travel Collect Data to Evaluate Greenhouse Gas Emissions Profile for Business Travel October 7, 2013 - 1:27pm Addthis YOU ARE HERE Step 2 To evaluate a greenhouse gas (GHG) emissions profile, most of the information required to support air travel demand management is currently available through Federal agency-level travel information systems, such as GovTrip. However, that information may not be distributed to programs, regional offices, and sites, which are in the best position to evaluate opportunities to reduce travel. Considerations that may help the agency determine the level at which data should be collected and analyzed include: Where are budgets and policies regarding travel made and modified?

467

Identify Employee Commuting Clusters for Greenhouse Gas Profile |  

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

Identify Employee Commuting Clusters for Greenhouse Gas Profile Identify Employee Commuting Clusters for Greenhouse Gas Profile Identify Employee Commuting Clusters for Greenhouse Gas Profile October 7, 2013 - 1:53pm Addthis YOU ARE HERE: Step 2 For evaluating a greenhouse gas profile for employee commuting, use survey data on employee home location and arrival/departure times to identify geographic areas to target for vanpool and carpool ride-matching efforts. Those who live in close proximity or en route to the workplace and with similar hours may be clustered to determine which locations might represent the best candidates for ride-share matching. As illustrated in Figure 1, areas with higher concentrations of employees that live farther from the worksite might be good candidate locations for targeted carpool and vanpool

468

Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting  

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

Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting October 7, 2013 - 1:47pm Addthis YOU ARE HERE Step 2 For evaluating a greenhouse gas (GHG) profile for employee commuting, data on behavior and attitudes are best collected through an agency-wide survey. The default survey methodology in the Federal GHG Accounting Guidance is designed to collect the minimum data for emissions calculations. Additional information may be necessary to determine which trip reduction strategies are best suited for specific employee populations. The optional questions in the advanced survey methodology or data gathered through an agency-defined employee commute survey can provide this understanding.

469

Project Profile: Commercial Development of an Advanced Linear...  

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

Commercial Development of an Advanced Linear-Fresnel-Based CSP Concept Project Profile: Commercial Development of an Advanced Linear-Fresnel-Based CSP Concept SkyFuel logo SkyFuel,...

470

Project Profile: Low-Cost Heliostat Development | Department...  

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

Cost Heliostat Development Project Profile: Low-Cost Heliostat Development HiTek logo HiTek Services, under the Baseload CSP FOA, is conducting fundamental parametric analyses of...

471

Institutional Investors, Managerial Incentives, and Firms' Risk Profiles  

E-Print Network (OSTI)

(Vega). Instead, I find that institutional investors appear to influence the risk profile of firm through the firms investment, financing and diversification policy choices even after I control for the CEOs compensation structure. The results suggest...

Celil, Hursit S

2013-04-11T23:59:59.000Z

472

Depth profiling ambient noise in the deep ocean  

E-Print Network (OSTI)

al. , 2005). The vertical profile of wind speed over the seavertical directionality Depth-dependence of wind speedVertical noise directional density function versus depth. 93 Measured and acoustically estimated wind speeds.

Barclay, David Readshaw

2011-01-01T23:59:59.000Z

473

What's the Gist? Privacy-Preserving Aggregation of User Profiles  

E-Print Network (OSTI)

) its overhead is appreciably low. 1 Introduction The digital footprint of Internet users is growing consumer profiles [45], and governments might abuse their surveillance power [17, 18] by obtaining datasets

474

Change of energy profiles for muons upon lattice relaxation  

Science Journals Connector (OSTI)

Systematic calculations of potentials for muons and protons in various simple metals have...?SR are discussed. The modification of the energy profiles with lattice relaxation is studied in...

S. Estreicher; P. F. Meier

1984-01-01T23:59:59.000Z

475

Considering the potential of criminal profiling to combat hacking  

Science Journals Connector (OSTI)

This paper outlines the results of a case study focusing upon hacking incidents in Germany. This work aims to ... of a Criminal Profile. Therefore cases of hacking incidents have been studied to find commonalitie...

Jrg Preu; Steven M. Furnell; Maria Papadaki

2007-06-01T23:59:59.000Z

476

Comparison of instruments for measuring step heights and surface profiles  

Science Journals Connector (OSTI)

Data for step heights and surface profiles obtained using two commercially available instruments are compared. It is shown that step height data obtained with the Dektak IIA are good...

Bennett, Jean M

1985-01-01T23:59:59.000Z

477

Effect of Adhesive Tape on the Velocity Profile of Water  

Science Journals Connector (OSTI)

... fully developed turbulent flow in order to discover the effect on the velocity profile of roughening the channel bed by sticking sand grains of various known dimensions to it by means ...

ALAN E. COSSAR

1970-09-05T23:59:59.000Z

478

Guide to the Use of Researcher Profile Safety Coordinators  

E-Print Network (OSTI)

by the Help Desk. Simply select the Researcher Profiles tab in the green navigation area at the top of the "My-- Use this communication tool as specified by the EHS staff. Checkbox for Safety Training Participant

479

TH.D. STUDENT PROFILES 2006 Entering Class  

E-Print Network (OSTI)

TH.D. STUDENT PROFILES 2006 Entering Class Jeff Conklin-Miller Primary Concentration: Theology ecclesiology, drawing on insights of John Howard Yoder, Rowan Williams, and the Wesleyan tradition. Tommy

Reif, John H.

480

Functional Consequences in Metabolic Pathways from Phylogenetic Profiles  

Science Journals Connector (OSTI)

Phylogenetic profiling is an ingenious computational method for identifying functional linkage between proteins. It is based on the assumption that a set of proteins involved in a common pathway or composing a structural complex tends to evolve in a ...

Yonatan Bilu; Michal Linial

2002-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "uc-950 performance profiles" 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

Project Profile: Low-Cost Solar Thermal Collector | Department...  

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

Solar Thermal Collector Project Profile: Low-Cost Solar Thermal Collector SunTrough Energy logo SunTrough, under the Baseload CSP FOA, is developing a new class of solar...

482

Recovery of SIMS depth profiles with account for nonstationary effects  

Science Journals Connector (OSTI)

Abstract In this work we consider a method of accounting for the nonstationary effects in recovery of SIMS depth profiles. The depth resolution function (DRF) is described by Hofmann's nonstationary MRI (mixing-roughness-information depth) model using the depth-dependent parameters. The effects in question include the nonstationary atomic mixing and development of surface roughness. A mathematical description of the nonstationary depth profiling process by the Fredholm integral equation of the first kind is proposed. The inverse problem is solved using an algorithm based on the Tikhonov regularization method. The proposed nonstationary recovery method is tested on both model and real structures. The development of surface roughness in SIMS depth profiling of the real structure was observed. Grazing incidence x-ray reflectometry (XRR) technique was used to verify the results of SIMS profiles restoration for periodic structure containing thin Ge layers in the Si matrix. The advantages of the proposed recovery algorithm to allow for the nonstationary effects are shown.

Pavel Andreevich Yunin; Yurii Nikolaevich Drozdov; Mikhail Nikolaevich Drozdov; Dmitry Vladimirovich Yurasov

2014-01-01T23:59:59.000Z

483

Molecular Depth Profiling of Sucrose Films: A Comparative Study...  

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

Cs and O Ions. Abstract: Time-of-flight secondary ion mass spectrometry (ToF-SIMS) depth profiling of sucrose thin films were investigated using 10 keV C60+, 20 keV...

484

Comparison Between Simulated And Experimental Au-ion Profiles...  

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

irradiation. The Au ion profiling was measured by secondary ion mass spectrometry (SIMS) and compared to the Au ion distribution predicted by the Stopping and Range of Ions in...

485

STAMP: statistical analysis of taxonomic and functional profiles  

Science Journals Connector (OSTI)

......package that provides statistical hypothesis tests and exploratory plots for analysing taxonomic and functional profiles. It supports tests for comparing pairs of samples or samples...assessment of the biological relevancy of test results. A user-friendly graphical interface......

Donovan H. Parks; Gene W. Tyson; Philip Hugenholtz; Robert G. Beiko

2014-11-01T23:59:59.000Z

486

Summer temperature profiles within supraglacial debris on Khumbu Glacier, Nepal  

E-Print Network (OSTI)

Summer temperature profiles within supraglacial debris on Khumbu Glacier, Nepal H. CONWAY, and L. A Glacier, Nepal show a strong diurnal signal that diffused downward into the debris with decreasing

Rasmussen, L.A.

487

[NeII] emission line profiles from photoevaporative disc winds  

E-Print Network (OSTI)

I model profiles of the [NeII] forbidden emission line at 12.81um, emitted by photoevaporative winds from discs around young, solar-mass stars. The predicted line luminosities (~ 1E-6 Lsun) are consistent with recent data, and the line profiles vary significantly with disc inclination. Edge-on discs show broad (30-40km/s) double-peaked profiles, due to the rotation of the disc, while in face-on discs the structure of the wind results in a narrower line (~10km/s) and a significant blue-shift (5-10km/s). These results suggest that observations of [NeII] line profiles can provide a direct test of models of protoplanetary disc photoevaporation.

R. D. Alexander

2008-09-01T23:59:59.000Z

488

Theoretical X-ray Line Profiles from Colliding Wind Binaries  

E-Print Network (OSTI)

We present theoretical X-ray line profiles from a range of model colliding wind systems. In particular, we investigate the effects of varying the stellar mass-loss rates, the wind speeds, and the viewing orientation. We find that a wide range of theoretical line profile shapes is possible, varying with orbital inclination and phase. At or near conjunction, the lines have approximately Gaussian profiles, with small widths (HWHM ~ 0.1 v_infty) and definite blue- or redshifts (depending on whether the star with the weaker wind is in front or behind). When the system is viewed at quadrature, the lines are generally much broader (HWHM ~ v_infty), flat-topped and unshifted. Local absorption can have a major effect on the observed profiles - in systems with mass-loss rates of a few times 10^{-6} Msol/yr the lower energy lines (E wind of the primary. The orbital variation ...

Henley, D B; Pittard, J M

2003-01-01T23:59:59.000Z

489

Lithologic Descriptions and Temperature Profiles of Five Wells...  

Open Energy Info (EERE)

and Temperature Profiles of Five Wells in the Southwestern Valles Caldera Region, New Mexico Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Lithologic...

490

Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in  

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

Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Buildings Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Buildings October 7, 2013 - 11:16am Addthis After assessing the potential for agency size changes, a Federal agency should evaluate its greenhouse gas (GHG) emissions profile using renewable energy in buildings. When using renewable energy in buildings, the approach for evaluating GHG emissions involves evaluating the renewable energy resource potential and determining what type of renewable energy technology to use in a building. To help determine renewable energy resource potential at a site, see FEMP's information on Renewable Energy Resource Maps and Screening Tools. Also see Renewable Energy Project Planning and Implementation.

491

High speed switching between arbitrary spatial light profiles  

Science Journals Connector (OSTI)

Complex images, inscribed into the spatial profile of a laser beam or even a single photon, offer a highly efficient method of data encoding. Here we present a prototype system which...

Radwell, N; Brickus, D; Clark, T W; Franke-Arnold, S

2014-01-01T23:59:59.000Z

492

Communicating Building Energy Performance  

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

Communicating Building Energy Performance Communicating Building Energy Performance Speaker(s): William Bordass Date: August 26, 2008 - 12:00pm Location: 90-3075 Seminar Host/Point of Contact: Paul Mathew The heightened interest in building energy performance has exposed problems with reporting and benchmarking. Established conventions may no longer suit current needs, and new complications are emerging as national and corporate reporting (e.g. for carbon accounting and trading) begin to impact on the certification and labelling of building energy performance. If we are to achieve genuinely low-energy and carbon buildings, we need to get much better at reporting and benchmarking our intentions and outcomes, and particularly making performance visible and communicating it to all the people concerned. In design, this could help us to reduce the persistent

493

Coatings for performance retention  

Science Journals Connector (OSTI)

Performance and performance retention are becoming increasingly important in todays gas turbine engines. The military aircraft engine operator wants the flexibility and flight envelope that increased performance will give and the commercial useraircraft utility generation or pumperdemands the long term fuel economy that improved performance retention will provide. Materials advances have provided the intrinsic strength and temperature increases to push the capability of todays engines and coatings have been an integral part of that advancement. Specifically in the performance retention area coatings and seal systems have become increasingly important in both compressor and turbine components. It is the intent of this overview paper to present a brief review of the coating systems presently in use and in development and to consider areas in which the technology might be heading.

R. V. Hillery

1986-01-01T23:59:59.000Z

494

Microsoft Word - Managing Your iSupplier Profile Job Aid R12 05092012.docx  

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

of Contents of Contents Summary of Your iSupplier Profile...........................................................................................................................2 Accessing Your Account for the First Time.............................................................................................................2 Navigating to Your Profile.........................................................................................................................................3 Company Information (a.k.a. Profile Management)............................................................................................4 Organization...............................................................................................................................................................5

495

Turbulent Patch Identification in Microstructure Profiles: A Method Based on Wavelet Denoising and Thorpe Displacement Analysis  

Science Journals Connector (OSTI)

A new method based on wavelet denoising and the analysis of Thorpe displacements dT profiles is presented for turbulent patch identification. Thorpe profiles are computed by comparing the observed density profile ?(z) and the monotonic density ...

Jaume Piera; Elena Roget; Jordi Catalan

2002-09-01T23:59:59.000Z

496

Profiled spectral lines generated in the field of Kerr superspinars  

SciTech Connect

String Theory suggests existence of primordial Kerr superspinars, extremely compact objects with external spacetime described by the Kerr naked singularity geometry. The primordial Kerr superspinars have to be converted to a near-extreme black hole due to accretion, but they could survive to the era of highly redshifted quasars. We study the shape of the profiled spectral lines generated by radiating rings or the innermost parts of Keplerian discs orbiting the Kerr superspinars. Influence of the superspinar surface location on the profiled lines is also considered. We demonstrate strong difference of the character of the profiled lines generated by radiating rings for all values of the superspinar spin and all values of the inclination angles of the observer when compared to those generated in the field of Kerr black holes. For small and mediate inclination angles there are large quantitative differences in the extension and position of the lines. For large inclination angles even strong qualitative difference appears as the profiled lines have a clear doubled character. The smaller, redshifted region of the profiled line is related to the photons reaching the regions near the superspinar surface. Strong differences are obtained also for profiled lines generated by the innermost parts of Keplerian discs especially in the shape of the line. The influence of the superspinar surface location is reflected in the intermediate parts of the the profiled lines. The line profiles can give a clear signature of the presence of a Kerr superspinar and in principle enable estimates of its surface location since the signatures of the superspinar surface location are of different character as those corresponding to the presence of the black hole horizon.

Schee, Jan; Stuchlk, Zdenek, E-mail: jan.schee@fpf.slu.cz, E-mail: zdenek.stuchlik@fpf.slu.cz [Institute of Physics, Faculty of Philosophy and Science, Silesian University in Opava, Bezru?ovo nm. 13, Opava (Czech Republic)

2013-04-01T23:59:59.000Z

497

ANALYTICAL CALCULATION OF STOKES PROFILES OF ROTATING STELLAR MAGNETIC DIPOLE  

SciTech Connect

The observation of the polarization emerging from a rotating star at different phases opens up the possibility to map the magnetic field in the stellar surface thanks to the well-known Zeeman-Doppler imaging. When the magnetic field is sufficiently weak, the circular and linear polarization profiles locally in each point of the star are proportional to the first and second derivatives of the unperturbed intensity profile, respectively. We show that the weak-field approximation (for weak lines in the case of linear polarization) can be generalized to the case of a rotating star including the Doppler effect and taking into account the integration on the stellar surface. The Stokes profiles are written as a linear combination of wavelength-dependent terms expressed as series expansions in terms of Hermite polynomials. These terms contain the surface-integrated magnetic field and velocity components. The direct numerical evaluation of these quantities is limited to rotation velocities not larger than eight times the Doppler width of the local absorption profiles. Additionally, we demonstrate that in a rotating star, the circular polarization flux depends on the derivative of the intensity flux with respect to the wavelength and also on the profile itself. Likewise, the linear polarization depends on the profile and on its first and second derivatives with respect to the wavelength. We particularize the general expressions to a rotating dipole.

Martinez Gonzalez, M. J. [Instituto de Astrofisica de Canarias, Via Lactea s/n, 38200 La Laguna, Tenerife (Spain); Asensio Ramos, A. [Departamento de Astrofisica, Universidad de La Laguna, E-38205 La Laguna, Tenerife (Spain)

2012-08-20T23:59:59.000Z

498

Models of Forbidden Line Emission Profiles from Axisymmetric Stellar Winds  

E-Print Network (OSTI)

A number of strong infrared forbidden lines have been observed in several evolved Wolf-Rayet star winds, and these are important for deriving metal abundances and testing stellar evolution models. In addition, because these optically thin lines form at large radius in the wind, their resolved profiles carry an imprint of the asymptotic structure of the wind flow. This work presents model forbidden line profile shapes formed in axisymmetric winds. It is well-known that an optically thin emission line formed in a spherical wind expanding at constant velocity yields a flat-topped emission profile shape. Simulated forbidden lines are produced for a model stellar wind with an axisymmetric density distribution that treats the latitudinal ionization self-consistently and examines the influence of the ion stage on the profile shape. The resulting line profiles are symmetric about line centre. Within a given atomic species, profile shapes can vary between centrally peaked, doubly peaked, and approximately flat-topped in appearance depending on the ion stage (relative to the dominant ion) and viewing inclination. Although application to Wolf-Rayet star winds is emphasized, the concepts are also relevant to other classes of hot stars such as luminous blue variables and Be/B[e] stars.

Richard Ignace; Adam Brimeyer

2006-05-10T23:59:59.000Z

499

Profile of teen mothers in a Salt Lake County school district;.  

E-Print Network (OSTI)

??The purpose of this descriptive study was to profile young women currently enrolled in a Salt Lake Count school district Young Parent Program. This profile (more)

Wanlass, Bonnie J.

1999-01-01T23:59:59.000Z

500

ARM - 2009 Performance Metrics  

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

9 Performance Metrics 9 Performance Metrics Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 2009 Performance Metrics Improve Climate Models - Develop a coupled climate model with fully interactive carbon and sulfur cycles, as well as dynamic vegetation to enable simulations of aerosol effects, carbon chemistry, and carbon sequestration by the land surface and oceans and the interactions between the carbon cycle and climate. In fiscal year 2009: Provide improved climate