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


1

United States Wind Resource Map: Annual Average Wind Speed at...  

Wind Powering America (EERE)

5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC. Web: http:www.awstruepower.com. Map developed by NREL. Spatial resolution of wind...

2

Expenses Revenues  

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

Expenses Expenses Revenues O&M Expense: /1 Reclamation $42,542,742 Western $57,084,199 Total O&M Expense $99,626,941 Purchase Power Expense: Custom Product and Supplemental Power /2 $201,512,000 $201,512,000 HBA Costs /3 $2,379,720 $0 Purchases for Project Use customers /4 $0 $0 Washoe Cost for BR /5 $471,500 $0 Total Purchase Power Expense/Revenue $204,363,220 $201,512,000 Interest Expense: Total Interest Expense $8,932,452 Other Expenses: Total Other Expenses $3,120,960 Project Repayment (Expense): Total Project Repayment $12,000,000 Other Pass-through Expenses & Revenues: CAISO Market & GMC Charges for 2207A (WSLW) and WPUL /6 $2,928,629 $0 CAISO Expenses & Revenues /6 $21,439,303 $20,749,986 PG&E costs incurred for Wheeling /7 $10,700,551 $9,883,246 PATH 15 revenues and expenses

3

Solar: annual average direct normal (DNI) map at 40km resolution for  

Open Energy Info (EERE)

map at 40km resolution for map at 40km resolution for Central America from NREL Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for concentrating solar power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America direct normal DNI map NREL solar SWERA UNEP Data application/pdf icon Download Map (pdf, 67.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

4

Area-preserving maps models of gyro-averaged ${\\bf E} \\times {\\bf B}$ chaotic transport  

E-Print Network [OSTI]

Discrete maps have been extensively used to model 2-dimensional chaotic transport in plasmas and fluids. Here we focus on area-preserving maps describing finite Larmor radius (FLR) effects on ${\\bf E} \\times {\\bf B}$ chaotic transport in magnetized plasmas with zonal flows perturbed by electrostatic drift waves. FLR effects are included by gyro-averaging the Hamiltonians of the maps which, depending on the zonal flow profile, can have monotonic or non-monotonic frequencies. In the limit of zero Larmor radius, the monotonic frequency map reduces to the standard Chirikov-Taylor map, and, in the case of non-monotonic frequency, the map reduces to the standard nontwist map. We show that in both cases FLR leads to chaos suppression, changes in the stability of fixed points, and robustness of transport barriers. FLR effects are also responsible for changes in the phase space topology and zonal flow bifurcations. Dynamical systems methods based on recurrence time statistics are used to quantify the dependence on the Larmor radius of the threshold for the destruction of transport barriers.

J. D. da Fonseca; D. del-Castillo-Negrete; I. L. Caldas

2014-09-10T23:59:59.000Z

5

Area-preserving maps models of gyro-averaged ${\\bf E} \\times {\\bf B}$ chaotic transport  

E-Print Network [OSTI]

Discrete maps have been extensively used to model 2-dimensional chaotic transport in plasmas and fluids. Here we focus on area-preserving maps describing finite Larmor radius (FLR) effects on ${\\bf E} \\times {\\bf B}$ chaotic transport in magnetized plasmas with zonal flows perturbed by electrostatic drift waves. FLR effects are included by gyro-averaging the Hamiltonians of the maps which, depending on the zonal flow profile, can have monotonic or non-monotonic frequencies. In the limit of zero Larmor radius, the monotonic frequency map reduces to the standard Chirikov-Taylor map, and, in the case of non-monotonic frequency, the map reduces to the standard nontwist map. We show that in both cases FLR leads to chaos suppression, changes in the stability of fixed points, and robustness of transport barriers. FLR effects are also responsible for changes in the phase space topology and zonal flow bifurcations. Dynamical systems methods based on recurrence time statistics are used to quantify the dependence on the...

da Fonseca, J D; Caldas, I L

2014-01-01T23:59:59.000Z

6

Crop Revenue Coverage (CRC)  

E-Print Network [OSTI]

Crop Revenue Coverage guarantees a stated amount of revenue based on commodity futures prices. This publication explains how CRC works and gives examples based on harvest price scenarios....

Stokes, Kenneth; Barnaby, G. A. Art; Waller, Mark L.; Outlaw, Joe

2008-10-17T23:59:59.000Z

7

revenue | OpenEI  

Open Energy Info (EERE)

revenue revenue Dataset Summary Description EIA previously collected sales and revenue data in a category called "Other." This category was defined as including activities such as public street highway lighting, other sales to public authorities, sales to railroads and railways, and interdepartmental sales. EIA has revised its survey to separate the transportation sales and reassign the other activities to the commercial and industrial sectors as appropriate. Source Energy Information Administration (EIA) Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords EIA Electricity Generation revenue sales utilities Data application/vnd.ms-excel icon f8262010.xls (xls, 992.3 KiB) application/vnd.ms-excel icon f8262009.xls (xls, 1.5 MiB)

8

revenues | OpenEI  

Open Energy Info (EERE)

revenues revenues Dataset Summary Description The data included in this submission is United States Department of Transportation (DOT) data on rates and revenue statistics up to 1995. The data includes state motor-fuel tax receipts, 1919-1995, state motor fuel taxes and related receipts, 1950-1995, and state and federal motor fuel tax rates, 1919-1995 The data is presented in .xlsx format. Source DOT Date Released Unknown Date Updated Unknown Keywords DOT highway motor vehicles rates revenues Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon State motor-fuel tax receipts, 1919-1995 (xlsx, 13.8 KiB) application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon State motor fuel taxes and related receipts, 1950-1995 (xlsx, 78.5 KiB)

9

The revenue imperative  

E-Print Network [OSTI]

I contend that the revenue imperative, the government's acute need for additional funds, governed Civil War fiscal policy. My thesis questions the prevalent "Beard-Hacker thesis" that asserts the Republican administration purposefully inaugurated...

Flaherty, Jane

2012-06-07T23:59:59.000Z

10

Capital and revenue expenditures  

E-Print Network [OSTI]

T and Charaoteristios of Various Expenditures ~ ~ 7 III. Bases for Expenditure Classifioationi ~ ~ ~ ~ ~ ~ ~ ~ r ~ ' ~ IV ~ Methods of kooountiag for Capital and Revenue Expenditure( ~ ~ I CkPITLL ERE RKVRRUm bXPLM)ITURkiS ISTRORUGTIOR kn ?ttonpt will be made... whish represent part of the nooessary cost of usine the asset during the current period, shouLd be oharged abainst the revenue of the period? heveaue expenditures are expensosg capital expenditures are noti fhe toras aooounting period' and "fiscal...

Owens, Jack Bailey

2012-06-07T23:59:59.000Z

11

Background - Revenue Collection  

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

Revenue Collection Revenue Collection The Internal Revenue Service (IRS) collects Federal fuel taxes from large oil companies or large oil distribution firms with storage facilities prior to distribution of the fuels to customers. The Federal fuel taxes are imposed when the fuel is first removed from bulk storage and sold. Although these taxes are "passed on" to the individual purchaser, data at the individual purchaser level are simply not available. Additional Federal heavy vehicle non-fuel-based fees include (1) the retail sales excise tax on tractors and trailers, (2) the tax on heavy vehicle tire sales, and (3) the heavy vehicle-use tax. Truck registration was once used as a proxy for truck taxes, but was rejected because it did not accurately reflect on-highway usage in a particular State. In fact, the State where the heavy vehicle and/or tires are purchased is not necessarily the State in which these purchases will be used.

12

FOUNDATION REVENUE OBJECT CODES LSU Foundation Revenue Object Codes  

E-Print Network [OSTI]

FOUNDATION REVENUE OBJECT CODES 4 page 1 LSU Foundation Revenue Object Codes 0F00 Foundation - Balance Forward 0F01 Foundation - Other Contributions 0F02 Foundation - State of Louisiana 0F03 Foundation - Corporate Contributions 0F04 Foundation - Corporate Match Contributions 0F05 Foundation - Individual

Harms, Kyle E.

13

Office of Natural Resources Revenue | Open Energy Information  

Open Energy Info (EERE)

Natural Resources Revenue Natural Resources Revenue Jump to: navigation, search Logo: Office of Natural Resources Revenue Name Office of Natural Resources Revenue Address Denver Federal Center, Bldg 85 P.O. Box 25165 Place Denver, CO Zip 80225-0165 Phone number (303) 231-3162 Website http://www.onrr.gov/ Coordinates 39.7233202°, -105.1108186° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.7233202,"lon":-105.1108186,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

14

Private Activity Revenue Bonds (Maryland)  

Broader source: Energy.gov [DOE]

Private Activity Revenue Bonds are available in the form of both taxable bonds and tax-exempt bonds. Both types of bonds provide access to long-term capital markets for fixed asset financing....

15

Public Utilities Specialist (Revenue Analyst)  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as an analyst in evaluating the development of short and long-term business strategy, market monitoring, revenue tracking and forecasting, cost...

16

What Global Warming Looks Like The July 2010 global map of surface temperature anomalies (Figure 1), relative to the average  

E-Print Network [OSTI]

), relative to the average July in the 1951-1980 period of climatology, provides a useful picture of current climate. It was more than 5°C (about 10°F) warmer than climatology in the eastern European region substantial areas cooler than climatology, including a region in central Asia and the southern part of South

17

ENVIRONMENTAL REVENUE STREAMS FOR COMBINED HEAT AND POWER | Department...  

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

ENVIRONMENTAL REVENUE STREAMS FOR COMBINED HEAT AND POWER ENVIRONMENTAL REVENUE STREAMS FOR COMBINED HEAT AND POWER ENVIRONMENTAL REVENUE STREAMS FOR COMBINED HEAT AND POWER...

18

Utility-Based Revenue Streams- Notes  

Broader source: Energy.gov [DOE]

Better Buildings Neighborhood Program October 2011 Workshop Summary of Revenue Streams from Breakout Sessions (11/20/11).

19

Average Conformations Determined from PRE Data Provide High-Resolution Maps of Transient Tertiary Interactions in Disordered Proteins  

Science Journals Connector (OSTI)

In the last decade it has become evident that disordered states of proteins play important physiological and pathological roles and that the transient tertiary interactions often present in these systems can play a role in their biological activity. The structural characterization of such states has so far largely relied on ensemble representations, which in principle account for both their local and global structural features. However, these approaches are inherently of low resolution due to the large number of degrees of freedom of conformational ensembles and to the sparse nature of the experimental data used to determine them. Here, we overcome these limitations by showing that tertiary interactions in disordered states can be mapped at high resolution by fitting paramagnetic relaxation enhancement data to a small number of conformations, which can be as low as one. This result opens up the possibility of determining the topology of cooperatively collapsed and hidden folded states when these are present in the vast conformational landscape accessible to disordered states of proteins. As a first application, we study the long-range tertiary interactions of acid-unfolded apomyoglobin from experimentally measured paramagnetic relaxation enhancement data.

Jordi Silvestre-Ryan; CarlosW. Bertoncini; RobertBryn Fenwick; Santiago Esteban-Martin; Xavier Salvatella

2013-01-01T23:59:59.000Z

20

Financing and Revenue: Crowd Funding: Enabling Small Investors...  

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

Financing and Revenue: Crowd Funding: Enabling Small Investors to Help Fund Business Loans for E3 Upgrades Peer Exchange Call Financing and Revenue: Crowd Funding: Enabling Small...

Note: This page contains sample records for the topic "average revenue map" 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

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales...  

Open Energy Info (EERE)

Commercial Sales (MWh) 128656 Commercial Consumers 48190 Industrial Revenue (Thousand ) 871 Industrial Sales (MWh) 14240 Industrial Consumers 485 Other Revenue (Thousand ) 70...

22

Mineral Recovery Creates Revenue Stream for Geothermal Energy...  

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

Mineral Recovery Creates Revenue Stream for Geothermal Energy Development Mineral Recovery Creates Revenue Stream for Geothermal Energy Development January 21, 2014 - 12:00am...

23

Mapping  

Science Journals Connector (OSTI)

Mapping is a creative method that invites participants to visually represent or depict the aspect of their lives that is under investigation. The underlying aim of a mapping exercise is to elicit a full, holis...

Valerie A. Futch

2014-01-01T23:59:59.000Z

24

2012 Revenue for Delivery Service Providers  

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

Revenue for Delivery Service Providers" Revenue for Delivery Service Providers" "(Data from form EIA-861 schedule 4C)" ,,,"Revenue (Thousands Dollars)" "Entity","State","Ownership","Residential","Commercial","Industrial","Transportation","Total" "Pacific Gas & Electric Co","CA","Investor Owned",38657,306699,232366,2843,580565 "San Diego Gas & Electric Co","CA","Investor Owned",1019.1,62400.1,84143.3,0,147562.5 "Southern California Edison Co","CA","Investor Owned",6706,456007,69193,".",531906 "Connecticut Light & Power Co","CT","Investor Owned",362262,514043,100262,6681,983248

25

Cargo revenue management for space logistics  

E-Print Network [OSTI]

This thesis covers the development of a framework for the application of revenue management, specifically capacity control, to space logistics for use in the optimization of mission cargo allocations, which in turn affect ...

Armar, Nii A

2009-01-01T23:59:59.000Z

26

Maps  

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

Maps Maps Maps Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Contact LANL Directory 667-5061 Badge Office (505) 667-6901 Email Institutional Visits and Events (505) 667-2222 Location and directions How to get to LANL Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Laboratory facilities can be found in 50 different work areas that are spread across 36 square miles. Below is the general location of the Otowi Building, Badge Office, cafeteria, and Research Library. V Screen reader users: click here for plain HTML Go to Google Maps Home Casa Grande Drive, Los Alamos, NM

27

Tax-Exempt Industrial Revenue Bonds (Kansas) | Department of Energy  

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

Industrial Revenue Bonds (Kansas) Industrial Revenue Bonds (Kansas) Tax-Exempt Industrial Revenue Bonds (Kansas) < Back Eligibility Agricultural Commercial Construction Industrial Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Kansas Program Type Bond Program Provider Revenue Tax-Exempt Industrial Revenue Bonds are issued by cities and counties for the purchase, construction, improvement or remodeling of a facility for agricultural, commercial, hospital, industrial, natural resources, recreational development or manufacturing purposes. The board of county commissioners of any county or the governing body of any city may approve an exemption of property funded by industrial revenue bonds (IRB's). Some

28

World Bank Good Practice Guidelines: Financial Analysis of Revenue  

Open Energy Info (EERE)

Good Practice Guidelines: Financial Analysis of Revenue Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities Jump to: navigation, search Tool Summary Name: World Bank Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities Agency/Company /Organization: World Bank Topics: Finance Resource Type: Guide/manual Website: siteresources.worldbank.org/INTRANETFINANCIALMGMT/Resources/FMB-Notes/ References: World Bank Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities[1] References ↑ "World Bank Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities" Retrieved from "http://en.openei.org/w/index.php?title=World_Bank_Good_Practice_Guidelines:_Financial_Analysis_of_Revenue_Generating-Entities&oldid=329414"

29

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales -  

Open Energy Info (EERE)

September 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for September 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-09 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-09-01 End Date 2008-10-01 Residential Revenue(Thousand $) 4960 Residential Sales (MWh) 49913 Residential Consumers 35998 Commercial Revenue(Thousand $) 2510 Commercial Sales (MWh) 24408 Commercial Consumers 8569 Industrial Revenue (Thousand $) 1308 Industrial Sales (MWh) 17792 Industrial Consumers 19 Total Revenue (Thousand $) 8778 Total Sales (MWh) 92113 Total Consumers 44586 Source: Energy Information Administration. Form EIA-826 Database Monthly

30

Revenue Management with Partially Refundable Fares  

Science Journals Connector (OSTI)

We introduce and analyze an intertemporal choice model where customer valuations are uncertain and evolve over time. The model leads directly to the study of call options on capacity that are similar to partially refundable fares. We show that the capacity ... Keywords: pricing, real options, revenue management, stochastic, transportation

Guillermo Gallego; zge ?ahin

2010-07-01T23:59:59.000Z

31

Program Sustainability: Update on Revenue Strategies Peer Exchange...  

Office of Environmental Management (EM)

Program Sustainability: Update on Revenue Strategies Peer Exchange Call Program Sustainability: Update on Revenue Strategies Peer Exchange Call December 11, 2014 12:30PM to 2:0...

32

Equitable Carbon Revenue Distribution Under an International Emissions  

E-Print Network [OSTI]

No. 5 Equitable Carbon Revenue Distribution Under an International Emissions Trading Regime Nathan INSTITUTE University of Massachusetts Amherst #12;Equitable Carbon Revenue Distribution Under an International Emissions Trading Regime Nathan E. Hultman and Daniel M. Kammen Energy & Resources Group Goldman

Kammen, Daniel M.

33

Mineral revenues: the 1983 report on receipts from Federal and Indian leases with summary data from 1920 to 1983  

SciTech Connect (OSTI)

Tables and figures abound for: mineral revenue management in 1983; offshore federal mineral revenues; onshore federal mineral revenues; Indian mineral revenues; distribution of federal and Indian mineral revenues; plus appended lease management data. (PSB)

Not Available

1984-01-01T23:59:59.000Z

34

World Bank Good Practice Guidelines: Financial Analysis of Revenue  

Open Energy Info (EERE)

Practice Guidelines: Financial Analysis of Revenue Practice Guidelines: Financial Analysis of Revenue Generating-Entities (Redirected from General Renewable Energy-Economic and Financial Analysis) Jump to: navigation, search Tool Summary Name: World Bank Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities Agency/Company /Organization: World Bank Topics: Finance Resource Type: Guide/manual Website: siteresources.worldbank.org/INTRANETFINANCIALMGMT/Resources/FMB-Notes/ References: World Bank Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities[1] References ↑ "World Bank Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities" Retrieved from "http://en.openei.org/w/index.php?title=World_Bank_Good_Practice_Guidelines:_Financial_Analysis_of_Revenue_Generating-Entities&oldid=329414

35

"2012 Non-Utility Power Producers- Revenue"  

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

Revenue" Revenue" "(Data from form EIA-861U)" ,,,"Revenue (thousand dollars)" "Entity","State","Ownership","Residential","Commercial","Industrial","Transportation","Total" "Riceland Foods Inc.","AR","Non_Utility",".",".",1735,".",1735 "Constellation Solar Arizona LLC","AZ","Non_Utility",".",".",798,".",798 "FRV SI Transport Solar LP","AZ","Non_Utility",".",243,".",".",243 "MFP Co III, LLC","AZ","Non_Utility",".",603,".",".",603

36

FY 2002 Generation Audited Accumulated Net Revenues, February...  

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

1 021003 February 2003 Bonneville Power Administration Power Business Line FY 2002 Generation Audited Accumulated Net Revenues for Financial- Based Cost Recovery Adjustment...

37

FY 2003 Generation Audited Accumlated Net Revenues, March 2004  

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

March 2004 Bonneville Power Administration Power Business Line FY 2003 Generation (PBL) Audited Accumulated Net Revenues for Financial-Based Cost Recovery Adjustment Clause (FB...

38

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Carolina" Carolina" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",18258,18707,18940,20687,19903,21392,22514,21611,23558,23699,25270,24875,26787,26422,27910,28676,28539,29569,29727,29556,32852,32.8,39.8 " Commercial",11927,12209,12375,13177,13393,14020,14545,14806,16370,16585,17483,17484,18157,19336,20113,20498,20923,21746,21676,21440,22320,22.7,27.1 " Industrial",24701,25361,26305,26867,27760,28819,29185,31278,31606,32117,33308,31528,31926,31296,31886,32080,31416,30632,29247,25421,27307,43.2,33.1 " Other",766,793,781,802,802,843,843,840,920,903,951,946,950,"-","-","-","-","-","-","-","-",1.2,"-"

39

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Rhode Island" Rhode Island" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",2376,2369,2363,2412,2457,2472,2481,2486,2522,2667,2664,2699,2829,2998,3000,3171,3008,3132,3043,2937,3118,36.5,40 " Commercial",2492,2474,2481,2532,2563,2625,2607,2697,2731,3171,3166,3240,3316,3490,3542,3628,3599,3710,3700,3691,3693,43.4,47.4 " Industrial",1354,1363,1359,1419,1378,1374,1351,1386,1458,1158,1394,1386,1331,1309,1345,1250,1191,1171,1075,990,961,19.1,12.3 " Other",196,197,190,186,174,165,165,174,177,154,78,68,85,"-","-","-","-","-","-","-","-",1.1,"-"

40

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Nevada" Nevada" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",5540,5782,6064,6281,6845,6655,7526,7801,7975,8386,9406,9607,9702,10340,10673,11080,11978,12390,12061,11880,11615,33.8,34.4 " Commercial",3866,3987,4175,4298,4612,4731,5150,5454,5655,6049,6548,6693,7538,8168,8275,8516,8975,9352,9304,8950,8970,23.6,26.6 " Industrial",6263,6173,6723,7181,7775,8496,9075,10034,10518,10861,11239,11239,11373,11624,12364,12897,13625,13893,13820,13445,13180,40.4,39 " Other",684,684,734,740,805,777,823,930,889,958,598,628,592,"-","-","-","-","-","-","-","-",2.2,"-"

Note: This page contains sample records for the topic "average revenue map" 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

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Connecticut" Connecticut" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",10376,10441,10496,10597,10898,10760,10943,10859,10935,11619,11645,11975,12473,13178,13211,13803,12963,13372,12730,12578,13065,38.9,43 " Commercial",10342,10544,10485,10677,10845,10926,11172,11278,11683,11834,11932,12442,12614,13094,13455,13949,13611,15126,13665,13257,13428,39.8,44.2 " Industrial",6100,5822,5780,5597,5917,5913,5928,5919,5838,5836,5811,5572,5370,5366,5358,5153,4926,5433,4371,3692,3713,19.4,12.2 " Other",369,364,367,368,366,370,374,376,500,515,564,552,548,"-","-","-","-","-","-","-","-",1.9,"-"

42

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Montana" Montana" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",3358,3459,3286,3598,3567,3640,3911,3804,3722,3664,3908,3886,4031,4120,4053,4221,4394,4542,4669,4774,4743,26.8,35.3 " Commercial",2738,2819,2859,3026,3096,3133,3299,3293,3313,3025,3792,3866,4003,4438,4330,4473,4686,4828,4826,4779,4789,26,35.7 " Industrial",6529,6622,6414,5837,5961,6368,6306,4537,6774,6258,6568,3370,4463,4267,4574,4784,4735,6163,5831,4773,3891,45,29 " Other",499,507,536,469,561,278,305,284,335,334,312,324,335,"-","-","-","-","-","-","-","-",2.1,"-"

43

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

District of Columbia" District of Columbia" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",1480,1580,1488,1635,1572,1608,1614,1554,1596,1643,1624,1699,1790,1754,1834,1938,1822,1970,1897,1859,2123,15.3,17.9 " Commercial",5073,5238,5227,5418,8093,8079,7905,7925,8051,8146,8332,8539,8645,8639,8994,9296,9030,9519,9290,9714,9209,78.5,77.5 " Industrial",2976,3053,2987,2976,267,262,252,262,262,249,273,281,282,267,282,256,240,297,305,305,230,2.6,1.9 " Other",319,324,341,346,363,366,366,366,372,380,387,362,411,"-","-","-","-","-","-","-","-",3.6,"-"

44

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

California" California" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",66575,66017,68121,67359,68866,68783,71396,73086,75205,75303,79241,76668,77202,82926,83361,85610,89836,89158,91231,89799,87257,32.5,33.8 " Commercial",79691,78425,80235,79058,76925,80874,83392,83574,92517,86371,92697,96459,102587,109578,118953,117551,121255,123690,125026,121105,121152,38,46.9 " Industrial",55892,56191,57090,56189,59864,57367,57683,62017,61641,63217,64311,63041,48448,49909,48812,50242,50991,50538,51031,47835,49301,26.4,19.1 " Other",8935,8018,8002,7894,8030,5580,5642,9203,7071,9940,7808,11591,6976,"-","-","-","-","-","-","-","-",3.2,"-"

45

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Vermont" Vermont" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",1809,1783,1927,1971,2009,1973,2006,1992,1951,1999,2037,2009,2047,2011,2109,2189,2142,2170,2133,2122,2128,36.1,38 " Commercial",1484,1491,1527,1570,1586,1605,1649,1675,1786,1896,1910,1926,1946,1881,1978,2051,2027,2059,2043,1991,2021,33.9,36.1 " Industrial",1381,1390,1440,1431,1435,1484,1537,1561,1534,1587,1646,1608,1592,1460,1577,1644,1626,1635,1565,1383,1446,29.2,25.8 " Other",42,40,47,44,36,42,48,84,92,45,46,42,45,"-","-","-","-","-","-","-","-",0.8,"-"

46

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Dakota" Dakota" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",2954,3096,3020,3209,3243,3384,3602,3437,3272,3307,3390,3480,3664,3707,3663,3796,3853,4067,4259,4449,4393,36,33.9 " Commercial",1795,1876,1752,1831,1884,2237,2378,2300,2305,2350,2554,3071,3404,3800,3843,3994,4127,4215,4460,4558,4714,27.1,36.4 " Industrial",1760,1762,1835,1905,2011,1771,1835,2076,2187,3013,3031,2753,2636,2954,3010,3050,3266,3624,3697,3641,3850,32.2,29.7 " Other",506,521,521,487,542,490,500,469,456,443,438,506,516,"-","-","-","-","-","-","-","-",4.7,"-"

47

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Utah" Utah" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",4246,4460,4505,4726,5009,5041,5481,5661,5756,6236,6514,6693,6938,7166,7325,7567,8232,8752,8786,8725,8834,28.1,31.5 " Commercial",4515,4734,4956,5020,5500,5642,5911,6469,6709,7282,7884,8262,8463,9024,9345,9417,9749,10241,10286,10235,10368,34,37 " Industrial",5766,5876,6212,6221,6498,6957,7660,7430,7511,7568,7917,7411,7019,7646,7816,7989,8356,8759,9086,8594,8808,34.1,31.4 " Other",875,837,894,900,841,820,806,815,724,792,870,851,846,"-","-","-","-","-","-","-","-",3.8,"-"

48

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Texas" Texas" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",82548,84088,81934,87686,89793,92831,99656,101094,110434,108591,116895,117343,121435,121355,120330,126562,126843,124921,127712,129797,137161,36.7,38.3 " Commercial",62238,61447,61696,64331,66467,68580,70866,72042,77231,79388,84848,87912,87746,96694,99616,110784,111130,110540,113473,118497,121467,26.7,33.9 " Industrial",84087,84122,85421,86933,90329,90093,95308,100429,102702,99741,101588,98208,102251,104547,100588,96841,104689,108300,105806,96931,99754,31.9,27.8

49

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Iowa" Iowa" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",10513,11159,10290,11103,11062,11640,11537,11673,11855,11867,12029,12430,12921,12768,12625,13571,13344,14060,14073,13723,14555,30.8,32 " Commercial",6727,7123,7019,7269,7477,7607,7338,7594,8034,8269,8375,8512,8803,11637,10840,11271,11660,12084,12178,11706,12025,21.4,26.5 " Industrial",11392,11684,12134,12465,13224,13771,14789,15531,16079,16499,17127,16238,16548,16803,17437,17915,18331,19125,19237,18211,18865,43.8,41.5 " Other",804,815,765,1267,1276,1284,1335,1350,1350,1399,1558,2264,2626,"-","-","-","-","-","-","-","-",4,"-"

50

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Georgia" Georgia" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",29933,30187,30528,33867,32735,35812,37763,36831,41519,41767,44560,44380,48600,48174,51124,52827,54521,56223,55587,55158,61554,37.4,43.8 " Commercial",22868,23241,23715,25169,26161,27741,29140,30200,32766,34093,36951,37839,38887,40554,42316,44663,45547,46997,46876,46080,47897,31,34 " Industrial",26717,27193,28197,29084,29942,31493,33175,33957,35077,35255,36085,33941,34603,34768,35846,34602,34588,34054,32529,29348,31047,30.3,22.1 " Other",922,919,952,1071,1075,1145,1229,1262,1358,1541,1589,1631,1699,"-","-","-","-","-","-","-","-",1.3,"-"

51

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Tennessee" Tennessee" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",28757,29605,29498,30199,32797,30967,35333,33367,35428,35425,36622,36932,38752,37697,38526,41132,40816,42880,41947,40117,45191,38.3,43.7 " Commercial",12128,12097,6470,5175,5154,5176,5548,24745,24840,25228,25757,25974,26523,27481,28249,29146,29033,29985,29418,27962,29399,26.9,28.4 " Industrial",35313,35667,41695,43530,43614,44828,45781,27710,30461,31493,32289,32149,31845,32278,32885,33625,34081,33850,32804,26569,28930,33.7,27.9 " Other",947,1021,922,928,968,1060,996,1095,1021,1035,1060,1077,1113,"-","-","-","-","-","-","-","-",1.1,"-"

52

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Arizona" Arizona" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",15378,15641,16230,16705,18212,18036,19746,20683,21611,22517,24844,26200,26413,27742,28921,30544,32367,34437,33236,32847,32448,40.6,44.6 " Commercial",13731,13982,14468,14813,15625,16290,17252,17788,18440,19776,21411,22045,22371,25425,26106,27468,28626,30475,30162,29386,28943,35,39.7 " Industrial",10034,10405,11055,10989,11303,11992,12783,13253,12549,12456,11975,11377,11026,10914,11906,11379,12259,12281,12869,11200,11442,19.6,15.7 " Other",2327,1820,1898,1901,2142,2272,2303,2732,3244,2912,2900,2652,2791,"-","-","-","-","-","-","-","-",4.7,"-"

53

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

United States" United States" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",924019,955417,935939,994781,1008482,1042501,1082512,1075880,1130109,1144923,1192446,1201607,1265180,1275824,1291982,1359227,1351520,1392241,1379981,1364474,1445708,34.9,38.5 " Commercial",751027,765664,761271,794573,820269,862685,887445,928633,979401,1001996,1055232,1083069,1104497,1198728,1230425,1275079,1299744,1336315,1335981,1307168,1330199,30.8,35.4 " Industrial",945522,946583,972714,977164,1007981,1012693,1033631,1038197,1051203,1058217,1064239,996609,990238,1012373,1017850,1019156,1011298,1027832,1009300,917442,970873,31.1,25.9

54

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Oklahoma" Oklahoma" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",17077,15325,14254,15901,16128,16319,17303,17376,19511,18301,19640,19796,19927,20162,19699,21309,21690,21361,21861,21641,23689,39.6,41 " Commercial",11634,10587,10338,10824,11121,11115,11553,11754,12459,12398,13115,13552,13097,16958,17020,17477,18197,18634,19022,18662,19005,26.5,32.9 " Industrial",11764,11415,11599,11699,11721,11714,12160,12802,13175,13271,13935,13356,12898,13308,14223,14920,15018,15198,15395,14233,15152,28.1,26.2 " Other",2029,2078,2076,2107,2173,2244,2276,2521,2752,2766,2874,2963,3564,"-","-","-","-","-","-","-","-",5.8,"-"

55

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Florida" Florida" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",71115,72814,73189,76827,80595,85770,88315,87845,95768,93846,99006,101377,108164,112650,112203,115791,117053,117816,113937,115474,122245,50.6,52.9 " Commercial",51342,52441,52620,54876,57447,60079,60988,63337,67346,69055,72130,73958,77561,85257,86765,89410,91300,93931,93205,92275,91614,36.8,39.6 " Industrial",16605,16482,16497,16298,16513,16473,17212,18266,18448,18579,18884,19854,18959,19375,19518,19676,19768,19241,18945,16918,17265,9.6,7.5 " Other",4473,4599,4704,4747,4989,5171,5317,5593,5792,5790,5824,5563,5789,"-","-","-","-","-","-","-","-",3,"-"

56

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Oregon" Oregon" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",15380,15949,15202,16696,16462,16315,17285,17185,17529,18058,18212,17503,17554,17736,18001,18339,18978,19374,19910,19804,18839,36.2,40.9 " Commercial",11319,11614,11818,12205,12660,12900,13388,14047,14324,14912,15289,14816,14902,15483,15667,15380,16083,16187,16313,15978,15454,30.4,33.6 " Industrial",15498,15297,15123,15012,15072,15839,17029,16880,14640,14106,16353,13084,12296,11961,11954,12684,12991,13117,12945,11761,11708,32.5,25.4 " Other",780,791,766,664,777,672,708,440,414,468,476,481,503,"-","-","-","-","-","-","-","-",0.9,"-"

57

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Dakota" Dakota" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",2866,3040,2843,3109,3147,3268,3426,3376,3303,3302,3423,3580,3733,3740,3696,3973,4051,4261,4406,4511,4628,41.3,40.8 " Commercial",1450,1522,1518,1621,1919,2088,2179,2207,2263,2291,2422,2915,3062,3713,3627,3998,4054,4181,4240,4238,4368,29.2,38.5 " Industrial",1657,1726,1777,1847,1762,1722,1785,1841,1868,1949,2003,1666,1604,1627,1891,1840,1952,2161,2328,2260,2360,24.2,20.8 " Other",361,397,356,327,346,335,346,349,390,381,435,465,538,"-","-","-","-","-","-","-","-",5.3,"-"

58

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Hawaii" Hawaii" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",2324,2396,2438,2469,2557,2606,2676,2668,2641,2689,2765,2802,2898,3028,3162,3164,3182,3201,3085,3055,2989,28.5,29.8 " Commercial",2194,2298,2356,2363,2543,2721,2761,2782,2776,2887,3036,3129,3168,3517,3632,3463,3490,3520,3501,3388,3355,31.3,33.5 " Industrial",3734,3773,3811,3770,3791,3803,3884,3856,3787,3748,3834,3790,3770,3846,3937,3912,3896,3864,3804,3683,3672,39.6,36.7 " Other",58,58,61,56,58,57,58,57,57,57,56,63,55,"-","-","-","-","-","-","-","-",0.6,"-"

59

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Missouri" Missouri" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",21652,23386,21294,24182,24057,25409,26448,26595,28265,27766,29581,30168,31684,31422,31351,34412,33880,35872,35390,34221,37302,40.7,43.3 " Commercial",18469,19112,18792,19914,20614,21606,22522,22864,23920,24111,25875,26029,26796,27987,28391,29640,29800,31126,31118,30394,31431,35.6,36.5 " Industrial",12937,13114,13440,13618,14106,14321,14915,15267,15801,16122,16080,15815,15341,14831,14303,16869,18316,18515,17850,15050,17330,22.1,20.1 " Other",866,902,885,908,916,923,958,985,1024,1046,1106,1201,1179,"-","-","-","-","-","-","-","-",1.5,"-"

60

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Pennsylvania" Pennsylvania" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",38164,39598,39245,41455,42239,42802,43645,42785,42923,44126,45008,46030,48730,49651,50663,53661,51790,54587,54060,52906,55253,33.6,37.1 " Commercial",29159,30553,30779,32252,33395,34544,35396,35925,37246,37596,42002,40553,42632,43218,44355,45782,45624,47531,47347,46411,47366,31.4,31.8 " Industrial",45992,44728,44869,44949,46076,47528,47208,48063,48815,46059,45449,47383,47090,46773,47659,47950,47920,48579,48131,43552,45458,34,30.5 " Other",1435,1459,1394,1325,1336,1377,1375,1304,1223,1102,1387,1306,1368,"-","-","-","-","-","-","-","-",1,"-"

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they are not comprehensive nor are they the most current set.
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61

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Nebraska" Nebraska" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",6800,7138,6561,7226,7379,7597,7741,7989,8160,7929,8346,8638,8956,8852,8757,9309,9294,9748,9749,9627,10107,34.3,33.9 " Commercial",5086,5291,5266,5471,5809,5986,6272,6500,6594,6661,7041,7232,7384,8583,8501,8848,9006,9396,9438,9314,9532,28.9,31.9 " Industrial",4618,4690,4752,4963,5345,5802,6193,6580,6916,6883,7276,7328,7563,8421,8618,8819,8977,9104,9624,9511,10210,29.9,34.2 " Other",1364,1486,1204,1089,1340,1508,1291,1514,1475,1336,1686,1525,1758,"-","-","-","-","-","-","-","-",6.9,"-"

62

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Hampshire" Hampshire" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",3444,3357,3428,3420,3431,3364,3429,3389,3401,3640,3656,3789,4003,4252,4282,4495,4401,4493,4394,4422,4485,36,41.2 " Commercial",2010,2029,2077,2123,3221,3226,3246,3280,3351,3604,3774,3911,4024,4318,4363,4576,4563,4570,4518,4441,4462,37.2,41 " Industrial",3418,3265,3333,3100,2182,2286,2344,2372,2425,2516,2597,2483,2222,2403,2328,2174,2131,2173,2065,1836,1942,25.6,17.8 " Other",107,111,116,118,122,131,127,127,127,128,131,133,134,"-","-","-","-","-","-","-","-",1.3,"-"

63

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Illinois" Illinois" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",32871,35964,32367,35226,35706,38386,37554,37264,39707,39631,40146,41820,45030,43161,43443,48593,46381,48036,46780,44324,48583,29.8,33.6 " Commercial",31734,33119,31457,34355,35663,37217,37441,38161,39792,41968,43855,43135,44244,49561,47358,49977,50631,52043,51770,50329,51437,32.6,35.5 " Industrial",39299,39712,40898,40249,41765,42251,42423,42837,43377,41972,40939,40780,39288,43042,48008,45888,44916,45430,45503,41507,44180,30.4,30.5 " Other",7672,8074,7798,7956,8356,8377,8572,8692,8820,9111,9756,10298,9886,"-","-","-","-","-","-","-","-",7.2,"-"

64

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Idaho" Idaho" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",5626,5971,5739,6245,6222,6193,6508,6628,6610,6806,7006,6906,7056,7090,7314,7601,8057,8339,8540,8554,8137,30.7,35.7 " Commercial",4894,4865,5340,4969,5638,5291,5883,5969,6005,6450,7068,6543,6963,5466,5484,5615,5813,6015,6049,6005,5865,31,25.7 " Industrial",7165,6909,7551,7222,7647,7843,9042,9481,9193,9171,8408,7305,6352,8663,9011,8636,8891,9401,9313,8195,8796,36.8,38.6 " Other",318,301,379,284,373,293,348,316,268,296,352,342,329,"-","-","-","-","-","-","-","-",1.5,"-"

65

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Ohio" Ohio" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",37889,40942,39141,41950,41791,44010,44573,43635,44516,46629,46488,47346,50864,49621,50300,53904,51375,54376,53411,51405,54474,28.1,35.3 " Commercial",30541,32325,31818,33299,34053,35549,36034,36373,38472,39461,40757,39372,39924,44737,45313,46870,46141,48129,47310,45370,46526,24.7,30.2 " Industrial",69682,67856,69674,68831,74010,74473,73394,73888,72998,74293,74019,65099,58472,57828,58558,59354,55869,59219,58621,49486,53109,44.8,34.5 " Other",4354,4534,4383,4491,4522,4592,4585,4612,3807,3888,3930,3981,4148,"-","-","-","-","-","-","-","-",2.4,"-"

66

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",17992708,19336430,20174...

67

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",22809680,24425027,23688...

68

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",30026588,32019040,32678...

69

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",34336615,35941243,37302...

70

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",54671521,58055878,62160...

71

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",26678158,27295675,28934...

72

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",4778365,4913110,4742794...

73

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",4484758,4552228,4392596...

74

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",32963522,33912098,35058...

75

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",52287769,53687111,54474...

76

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",2002527,2061392,2123312...

77

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",46901870,47057002,48582...

78

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",2716528,2802726,2727201...

79

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",32922970,33079074,32448...

80

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",3121367,3129446,3117808...

Note: This page contains sample records for the topic "average revenue map" 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

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",17909301,18787349,19230...

82

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",18854659,19429175,18838...

83

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",28662958,29398870,30307...

84

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",35510961,36376143,34906...

85

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",4480736,4381536,4371835...

86

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",2739298,2928743,2989499...

87

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",28366263,30801731,32852...

88

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",22026353,22149941,22299...

89

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",53660167,57749519,61554...

90

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",43534675,45771144,48438...

91

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",6763820,6873748,6752473...

92

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",2160196,2134422,2093217...

93

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",20313469,20472512,21409...

94

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",9188204,8946741,8834230...

95

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",22059631,22523727,22464...

96

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",12757633,12918796,13065...

97

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",2095283,2124533,2127935...

98

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",137411633,145654228,137...

99

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",11194679,11746151,12442...

100

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",50691506,51239599,50945...

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


101

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",52876058,54795633,55252...

102

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",4439208,4454088,4485469...

103

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",13796679,14343748,14334...

104

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",112127056,116341105,122...

105

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",4453732,4646384,4628123...

106

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",39753631,43067861,45191...

107

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",9680143,9946973,1010667...

108

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",26096707,27197836,29136...

109

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",12122718,11493279,11614...

110

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",90109995,88398416,87256...

111

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",4521682,4632094,4759973...

112

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",34461140,34811337,34680...

113

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",13987613,14326771,14554...

114

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",18220365,18276799,18102...

115

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",30632261,33002815,35529...

116

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector...  

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

1993, 1992, 1991, 1990,"Percent Share 2000","Percent Share 2010","Percent Share 2012" "Retail Sales (megawatthours)",,, "Residential",8159349,8389866,8136736...

117

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Delaware" Delaware" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",2651,2824,2786,3044,3107,3168,3271,3257,3339,3532,3575,3734,4020,4190,4305,4594,4259,4470,4428,4335,4760,31.7,41 " Commercial",2311,2420,2445,2605,2685,2842,2911,3068,3227,3353,4050,3605,3787,3886,4033,4238,4196,4321,4339,4185,4320,35.9,37.2 " Industrial",3272,3241,3248,3417,3447,3511,3399,3741,3779,3613,3601,3978,4151,4523,3423,3305,3100,3078,2982,2738,2526,31.9,21.8 " Other",50,51,53,56,60,58,59,56,53,54,49,62,60,"-","-","-","-","-","-","-","-",0.4,"-"

118

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Virginia" Virginia" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",28130,29607,29780,32472,32343,33472,34651,33923,34703,35779,37541,37325,40358,40877,42503,44662,42906,45481,44597,44763,48439,38.8,42.6 " Commercial",20213,21230,21610,22727,22948,24028,24565,24905,26176,26968,28299,29066,29999,41179,43025,44670,44654,46971,46878,46828,48037,29.3,42.2 " Industrial",16399,16029,16714,17390,18154,18554,19021,19249,20024,20269,20619,19702,19521,19282,19734,19354,18998,18925,18438,16678,17141,21.3,15.1 " Other",7955,8245,8345,8783,8766,9109,9359,9342,9705,10017,10256,10360,10740,"-","-","-","-","-","-","-","-",10.6,"-"

119

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Washington" Washington" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",28809,29889,28436,30932,29673,30147,32012,31749,31362,32817,33036,31608,32066,31872,32455,33212,34439,35389,36336,36753,34907,34.2,38.6 " Commercial",17683,18143,18727,19531,19752,20401,21451,21600,22248,23009,23991,23841,24310,28039,28226,28100,28580,29599,29878,30055,28833,24.9,31.9 " Industrial",40712,40839,38332,36563,34065,34276,31247,33956,37616,39499,35410,19339,15792,18180,19259,22112,22013,20753,21117,23354,26633,36.7,29.5 " Other",3842,3842,3825,3447,3643,3528,3713,3627,3645,3706,4075,3707,3237,"-","-","-","-","-","-","-","-",4.2,"-"

120

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

West Virginia" West Virginia" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",7578,8106,8138,8682,8663,9166,9277,9027,9053,9452,9738,9828,10444,10473,10756,11384,11014,11749,11763,11588,12443,35.2,38.8 " Commercial",4991,5219,5228,5480,5539,5852,5936,5944,6208,6473,6796,6786,7039,7136,7217,7452,7377,7769,7716,7694,7962,24.5,24.9 " Industrial",10469,10206,10370,10187,10482,10867,10820,11180,11161,11126,11083,10978,10902,10687,10942,11312,13916,14661,14738,10985,11623,40,36.3 " Other",94,94,95,92,92,92,94,96,89,92,76,78,78,"-","-","-","-","-","-","-","-",0.3,"-"

Note: This page contains sample records for the topic "average revenue map" 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

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Alabama" Alabama" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",20719,21293,21137,22628,23159,24314,25634,24893,27327,27048,28756,27802,30022,29416,30109,31315,32277,32783,32185,31489,35529,34.4,39.1 " Commercial",10979,11349,10917,11254,11844,12284,13328,16397,17662,18145,19057,18868,19666,20411,21166,21608,22120,22873,22533,21918,22984,22.8,25.3 " Industrial",27618,27985,29476,30524,31919,32847,33523,32617,33539,34533,35034,31949,32615,34017,35595,36279,36281,36172,34990,29437,32350,41.9,35.6 " Other",610,599,637,652,659,561,620,646,644,676,677,739,764,"-","-","-","-","-","-","-","-",0.8,"-"

122

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Louisiana" Louisiana" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",21434,21577,21188,22430,22629,24116,24311,24502,26709,26426,27719,25800,28157,28572,28863,28654,28113,28878,28846,29747,32679,34.4,38.4 " Commercial",13814,13970,13839,14398,15041,15575,15920,16222,17274,17581,18225,17722,18686,21944,22568,21692,21979,22887,22939,23301,24203,22.6,28.4 " Industrial",25862,26584,27466,28439,29870,30692,32544,32493,30999,31484,31950,28574,29662,27251,28290,27031,27373,27799,26932,25613,28187,39.6,33.1 " Other",2716,2573,2605,2488,2593,2444,2494,2669,2734,2776,2795,2596,2756,"-","-","-","-","-","-","-","-",3.5,"-"

123

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Alaska" Alaska" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",1661,1603,1640,1629,1688,1713,1766,1726,1768,1866,1855,1891,1932,1987,2062,2062,2120,2114,2129,2117,2093,34.9,33.5 " Commercial",1972,2005,2035,2062,2155,2200,2250,2181,2307,2385,2236,2289,2238,2473,2601,2695,2819,2828,2851,2841,2830,42.1,45.3 " Industrial",459,466,504,501,511,546,584,756,818,844,1037,1079,1088,1104,1126,1156,1243,1384,1344,1311,1324,19.5,21.2 " Other",161,182,160,182,179,172,179,178,202,198,182,194,207,"-","-","-","-","-","-","-","-",3.4,"-"

124

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Kansas" Kansas" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",9515,9933,8873,9986,10131,10356,10672,10862,11832,11347,12528,12062,12745,12602,12417,13406,13503,13806,13392,13149,14334,34.9,35.5 " Commercial",9169,9551,9400,9753,10111,10273,11005,11424,12073,11822,12511,12787,13392,13751,13831,14453,14786,15474,15358,15007,15436,34.8,38.2 " Industrial",8087,8284,8451,8702,9001,9356,9231,9365,9762,10215,10222,10569,10195,10382,10879,11165,11462,10885,10766,10087,10651,28.5,26.3 " Other",378,384,346,367,371,372,383,618,473,436,660,429,381,"-","-","-","-","-","-","-","-",1.8,"-"

125

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Kentucky" Kentucky" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",16814,18644,17787,19223,19481,20537,21353,20998,21669,22548,23374,23698,25347,24704,25187,26947,25949,28004,27562,26525,29137,29.8,31.1 " Commercial",9252,9900,9576,9829,10095,10524,10659,12169,12729,13222,13933,14338,14745,17946,18443,19091,18941,20035,19669,18696,19411,17.8,20.7 " Industrial",32543,32939,37084,36320,40049,40490,41930,40600,38260,40054,37689,38676,43812,42570,42891,43314,43853,44366,46198,43588,45022,48.1,48.1 " Other",2488,2711,2622,2777,2861,2997,3077,3069,3192,3274,3320,3263,3362,"-","-","-","-","-","-","-","-",4.2,"-"

126

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Mississippi" Mississippi" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",12266,12518,12422,13200,13642,14181,14965,14817,16392,16321,17193,16856,17844,17670,17580,17953,18276,18566,18294,18095,20175,37.9,40.6 " Commercial",6746,6832,6732,6685,7094,7539,7913,9955,10781,11151,11451,11357,11773,12593,12750,12666,12949,13400,13233,13013,13805,25.3,27.8 " Industrial",12454,13024,13491,14229,15256,15477,16043,14622,14599,15735,15856,15268,15021,15281,15702,15282,15712,16187,16195,14940,15707,35,31.6 " Other",661,646,596,635,635,671,702,694,738,772,836,805,815,"-","-","-","-","-","-","-","-",1.8,"-"

127

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Arkansas" Arkansas" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",10558,11001,10440,11762,11642,12417,12934,12990,14339,14045,14871,15104,15527,15598,15619,17134,17065,17415,17392,16986,19231,35.7,39.9 " Commercial",6075,6300,6177,6698,6866,7147,7442,7597,8205,8374,8746,9153,9304,10568,10731,11366,11581,11801,11703,11477,12188,21,25.3 " Industrial",10126,10518,11251,12609,13526,14483,15139,15632,16066,16680,17268,16734,16887,16942,17322,17665,17990,17839,17038,14710,16775,41.5,34.8 " Other",606,622,583,594,585,625,621,638,705,690,726,741,731,"-","-","-","-","-","-","-","-",1.7,"-"

128

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Michigan" Michigan" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",25319,26760,25671,26770,27174,28623,28901,28726,29808,30661,30707,32305,34336,33669,33104,36095,34622,35366,34297,32854,34681,29.3,33.5 " Commercial",20610,21455,21208,28930,30412,31306,32038,32411,33840,35096,35867,35025,35880,35391,38632,39600,39299,40047,38974,37870,38123,34.2,36.8 " Industrial",35062,35007,35657,30572,32717,33921,34499,35430,35983,37276,37268,34174,33537,39813,34867,34745,34093,33879,32505,27391,30841,35.6,29.8 " Other",1376,1298,1304,1316,857,852,863,824,875,948,930,905,960,"-","-","-","-","-","-","-","-",0.9,"-"

129

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Wisconsin" Wisconsin" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",16385,17349,16615,17373,17660,18635,18685,18510,19087,19502,19929,20418,21575,21364,21192,22458,21779,22374,21976,21421,22299,30.6,32.4 " Commercial",12698,13309,13243,13710,14378,14893,15433,15730,16193,17638,18321,18678,19144,20056,19349,22501,22756,23491,23473,22476,23001,28.1,33.5 " Industrial",19405,19686,20382,21410,22714,23690,23871,25103,26040,25665,26162,25370,25534,25821,27435,25376,25286,25436,24672,22390,23452,40.2,34.1 " Other",710,688,686,662,659,749,755,751,741,743,734,752,746,"-","-","-","-","-","-","-","-",1.1,"-"

130

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Maryland" Maryland" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",19102,20295,19762,21546,21666,22234,22986,21937,22407,23342,23949,24294,25489,26671,27952,28440,26905,28195,27144,26945,28934,39.5,44.3 " Commercial",10452,10667,10770,11317,13254,23096,23126,23419,24284,24988,25804,26244,21044,16950,17264,17932,29729,30691,30003,29806,30771,42.5,47.1 " Industrial",19308,19448,19768,20201,19037,10057,10098,10128,10344,9936,10066,10177,20875,27176,21195,21517,6057,5980,5650,5286,5083,16.6,7.8 " Other",672,697,689,809,794,771,787,781,799,819,858,926,972,"-","-","-","-","-","-","-","-",1.4,"-"

131

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Maine" Maine" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",3932,3817,3830,3872,3692,3629,3679,3659,3589,3704,3737,3903,4043,4219,4331,4503,4351,4413,4351,4360,4372,30.7,37.9 " Commercial",2673,2685,2730,2868,2812,2835,3212,3279,3324,3491,3712,3779,3789,3959,4325,4157,4134,4195,4148,4071,4101,30.5,35.6 " Industrial",4750,4709,4753,5040,4952,4959,4772,4957,4622,4687,4551,4413,3550,3793,3711,3702,3800,3252,3175,2852,3059,37.4,26.5 " Other",174,171,171,172,151,138,64,63,63,61,163,57,59,"-","-","-","-","-","-","-","-",1.3,"-"

132

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Minnesota" Minnesota" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",14858,15655,14848,15597,16007,16974,17157,17073,17378,17998,18629,19400,20451,20638,20507,21743,21909,22646,22355,22034,22465,31.2,33.1 " Commercial",8086,8417,8291,8535,8997,9700,10115,10137,10436,10909,11580,19799,19457,20533,20407,21985,22175,22523,22604,22311,22515,19.4,33.2 " Industrial",23497,23938,23557,24384,25451,26577,26934,27713,28214,27764,28842,20767,21515,21916,22415,22266,22664,23041,23810,19637,22798,48.2,33.6 " Other",727,745,716,694,701,707,735,750,716,729,730,721,740,"-","-","-","-","-","-","-","-",1.2,"-"

133

Table 8. Retail Sales, Revenue, and Average Retail Price by Sector, 1990 Through  

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

Massachusetts" Massachusetts" "Sector",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,,,,,,,,,,,,,,,,,,,,2000,2010 "Retail Sales (thousand megawatthours)" " Residential",15581,15379,15560,15785,16049,15993,16256,16278,16388,17392,17562,17984,18695,19591,19769,20539,19624,20138,19638,19475,21409,33.9,37.5 " Commercial",18565,18517,18629,18897,19371,19894,20346,20834,21422,21489,23033,24127,24250,25648,26020,26415,26237,27148,26582,17775,18243,44.5,31.9 " Industrial",10157,9794,9663,9605,9710,10026,10085,10148,10212,9966,10533,9757,10087,9984,9947,9871,9602,9450,9332,16754,17116,20.3,30 " Other",1138,1107,1146,994,961,598,607,622,585,560,644,629,676,"-","-","-","-","-","-","-","-",1.2,"-"

134

Cargo Revenue Management for Space Logistics Nii A. Armar  

E-Print Network [OSTI]

Cargo Revenue Management for Space Logistics by Nii A. Armar B.S., Aerospace Engineering for Space Logistics by Nii A. Armar Submitted to the Department of Aeronautics and Astronautics on November of revenue management, specifically capacity control, to space logistics for use in the optimization

de Weck, Olivier L.

135

ISP and CP revenue sharing and content piracy  

Science Journals Connector (OSTI)

With the network neutrality debate, the revenue sharing between Internet service providers(ISPs) and content providers(CPs) has been received attentions. In this paper, we study the revenue sharing of them from the perspective of collaboration to reduce ... Keywords: content provider, contents piracy, internet service provider, profit sharing

Jiwon Park, Jeonghoon Mo

2014-04-01T23:59:59.000Z

136

Single-Issue Industrial Revenue Bond Program (Missouri) | Department of  

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

Single-Issue Industrial Revenue Bond Program (Missouri) Single-Issue Industrial Revenue Bond Program (Missouri) Single-Issue Industrial Revenue Bond Program (Missouri) < Back Eligibility Commercial Construction Industrial Retail Supplier Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Program Info State Missouri Program Type Bond Program Provider Missouri Development Finance Board The Missouri Development Finance Board administers a Single-Issue Tax-Exempt Industrial Revenue Bond Program as well as a Taxable Industrial Revenue Bond Program. The Tax-Exempt Program finances (i) the acquisition, construction and equipping of qualified manufacturing production facilities and/or equipment, and (ii) refinances outstanding tax-exempt bonds. It

137

Average Residential Price  

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

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

138

Cigarette Purchasing Patterns among New York Smokers: Implications for Health, Price, and Revenue  

E-Print Network [OSTI]

York Smokers: Implications for Health, Price, and RevenueYORK SMOKERS: IMPLICATIONS FOR HEALTH, PRICE, AND REVENUEYork Smokers: Implications for Health, Price, and Revenue

New York State Department of Health; (Kevin Davis); (Matthew Farrelly); (Qiang Li); (Andrew Hyland)

2006-01-01T23:59:59.000Z

139

Local Government Revenue Bonds (Montana) | Department of Energy  

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

Government Revenue Bonds (Montana) Government Revenue Bonds (Montana) Local Government Revenue Bonds (Montana) < Back Eligibility Utility Commercial Investor-Owned Utility Municipal/Public Utility Local Government Rural Electric Cooperative Tribal Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Montana Program Type Bond Program Provider Any interested county or municipality. Limited obligation local government bonds ("special revenue bonds") may be issued for qualified electric energy generation facilities, including those powered by renewables. These bonds generally are secured by the project itself. The taxing power or general credit of the government may not be used to secure the bonds. Local governments may not operate any project

140

Industrial Revenue Bond Issuance Cost Assistance (Wisconsin) | Department  

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

Revenue Bond Issuance Cost Assistance (Wisconsin) Revenue Bond Issuance Cost Assistance (Wisconsin) Industrial Revenue Bond Issuance Cost Assistance (Wisconsin) < Back Eligibility Local Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Wind Solar Program Info State Wisconsin Program Type Bond Program Provider Wisconsin Economic Development Corporation Industrial Revenue Bonds (IRB) are tax-exempt bonds that can be used to stimulate capital investment and job creation by providing private borrowers with access to financing at interest rates that are lower than conventional bank loans. The IRB process involves five separate entities - the borrower, lender, bond attorney, issuer, and WEDC. WEDC allocates the bonding authority or the volume cap for the program under Wis. Stat. §

Note: This page contains sample records for the topic "average revenue map" 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
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141

Alliance revenue management in practice : techniques and simulation analysis  

E-Print Network [OSTI]

The primary motivations for the formation of airline alliances have been to increase revenues and decrease costs for alliance partners. A major advantage comes through increase in the number of destinations served by an ...

Jain, Himanshu, S.M. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

142

Unimodular Gravity and Averaging  

E-Print Network [OSTI]

The question of the averaging of inhomogeneous spacetimes in cosmology is important for the correct interpretation of cosmological data. In this paper we suggest a conceptually simpler approach to averaging in cosmology based on the averaging of scalars within unimodular gravity. As an illustration, we consider the example of an exact spherically symmetric dust model, and show that within this approach averaging introduces correlations (corrections) to the effective dynamical evolution equation in the form of a spatial curvature term.

A. Coley; J. Brannlund; J. Latta

2011-02-16T23:59:59.000Z

143

HFAG Charm Mixing Averages  

E-Print Network [OSTI]

Recently the first evidence for charm mixing has been reported by several experiments. To provide averages of these mixing results and other charm results, a new subgroup of the Heavy Flavor Averaging Group has been formed. We here report on the method and results of averaging the charm mixing results.

B. Aa. Petersen

2007-12-10T23:59:59.000Z

144

Microsoft Word - CLPUD Revenue Metering CX.doc  

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

Gregory Vassallo Gregory Vassallo TPC-ALVEY Proposed Action: New Revenue Meters at Central Lincoln's Florence and Berrydale Substations Budget Information: Work Order # 00004866, Task 04 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B4.6 Additions or modifications to electric power transmission facilities that would not affect the environment beyond the previously developed facility... Location: Lane County, Oregon Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA plans to upgrade revenue metering at Central Lincoln People's Utility District's (Central Lincoln) Florence and Berrydale Substations to 115-kV. Bonneville will retire the 12.5-kV revenue metering at Central Lincoln's Florence, Berrydale, and Heceta Beach Substations once

145

City of Detroit (Michigan) EIA Revenue and Sales - May 2008 | Open Energy  

Open Energy Info (EERE)

City of Detroit (Michigan) EIA Revenue and Sales - May 2008 City of Detroit (Michigan) EIA Revenue and Sales - May 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for City of Detroit for May 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-05 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-05-01 End Date 2008-06-01 Residential Revenue(Thousand $) 1.4 Residential Sales (MWh) 15.6 Residential Consumers 82 Commercial Revenue(Thousand $) 3889 Commercial Sales (MWh) 38146 Commercial Consumers 121 Other Revenue (Thousand $) 49 Other Sales (MWh) 376 Other Consumers 1 Total Revenue (Thousand $) 3939.4 Total Sales (MWh) 38537.6 Total Consumers 204 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

146

City of Detroit (Michigan) EIA Revenue and Sales - March 2008 | Open Energy  

Open Energy Info (EERE)

City of Detroit (Michigan) EIA Revenue and Sales - March 2008 City of Detroit (Michigan) EIA Revenue and Sales - March 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for City of Detroit for March 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-03 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-03-01 End Date 2008-04-01 Residential Revenue(Thousand $) 1.4 Residential Sales (MWh) 16 Residential Consumers 81 Commercial Revenue(Thousand $) 3467 Commercial Sales (MWh) 38666 Commercial Consumers 117 Other Revenue (Thousand $) 50 Other Sales (MWh) 455 Other Consumers 1 Total Revenue (Thousand $) 3518.4 Total Sales (MWh) 39137 Total Consumers 199 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

147

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - November  

Open Energy Info (EERE)

November November 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for November 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-11 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-11-01 End Date 2008-12-01 Residential Revenue(Thousand $) 4227 Residential Sales (MWh) 35279 Residential Consumers 35982 Commercial Revenue(Thousand $) 2029 Commercial Sales (MWh) 15195 Commercial Consumers 8707 Industrial Revenue (Thousand $) 1178 Industrial Sales (MWh) 14250 Industrial Consumers 19 Total Revenue (Thousand $) 7434 Total Sales (MWh) 64724 Total Consumers 44708 Source: Energy Information Administration. Form EIA-826 Database Monthly

148

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February  

Open Energy Info (EERE)

February February 2009 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for February 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-02 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2009-02-01 End Date 2009-03-01 Residential Revenue(Thousand $) 6100 Residential Sales (MWh) 57003 Residential Consumers 36097 Commercial Revenue(Thousand $) 2044 Commercial Sales (MWh) 16286 Commercial Consumers 8682 Industrial Revenue (Thousand $) 1219 Industrial Sales (MWh) 14517 Industrial Consumers 19 Total Revenue (Thousand $) 9363 Total Sales (MWh) 87806 Total Consumers 44798 Source: Energy Information Administration. Form EIA-826 Database Monthly

149

Revenue Maximization with Quality Assurance for Composite Web Services  

E-Print Network [OSTI]

Revenue Maximization with Quality Assurance for Composite Web Services Dani¨el Worm, Miroslav Abstract--Service composition is one of the major approaches in service oriented architecture (SOA) based systems. Due to the inherent stochastic nature of services execution environment the issue of composite

van der Mei, Rob

150

Classifying Web Search Queries to Identify High Revenue Generating Customers  

E-Print Network [OSTI]

searching, the set of terms for which a user searches is called the query. If a user enters a query and then clicks on a result, these query terms are embedded within the URL that is passed from the search engineClassifying Web Search Queries to Identify High Revenue Generating Customers Adan Ortiz-Cordova 329

Jansen, James

151

A & N Electric Coop (Virginia) EIA Revenue and Sales - March 2008 | Open  

Open Energy Info (EERE)

A & N Electric Coop (Virginia) EIA Revenue and Sales - March 2008 A & N Electric Coop (Virginia) EIA Revenue and Sales - March 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for March 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-03 Utility Company A & N Electric Coop (Virginia) Place Virginia Start Date 2008-03-01 End Date 2008-04-01 Residential Revenue(Thousand $) 3137.475 Residential Sales (MWh) 25920.427 Residential Consumers 30081 Commercial Revenue(Thousand $) 1274.236 Commercial Sales (MWh) 11114.985 Commercial Consumers 4104 Industrial Revenue (Thousand $) 1204.511 Industrial Sales (MWh) 13352.88 Industrial Consumers 17 Total Revenue (Thousand $) 5616.222 Total Sales (MWh) 50388.292 Total Consumers 34202 Source: Energy Information Administration. Form EIA-826 Database Monthly

152

A & N Electric Coop (Maryland) EIA Revenue and Sales - February 2008 | Open  

Open Energy Info (EERE)

A & N Electric Coop (Maryland) EIA Revenue and Sales - February 2008 A & N Electric Coop (Maryland) EIA Revenue and Sales - February 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for February 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-02 Utility Company A & N Electric Coop (Maryland) Place Maryland Start Date 2008-02-01 End Date 2008-03-01 Residential Revenue(Thousand $) 26.62 Residential Sales (MWh) 219.596 Residential Consumers 281 Commercial Revenue(Thousand $) 6.541 Commercial Sales (MWh) 51.4 Commercial Consumers 48 Total Revenue (Thousand $) 33.161 Total Sales (MWh) 270.996 Total Consumers 329 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next

153

A & N Electric Coop (Maryland) EIA Revenue and Sales - March 2008 | Open  

Open Energy Info (EERE)

A & N Electric Coop (Maryland) EIA Revenue and Sales - March 2008 A & N Electric Coop (Maryland) EIA Revenue and Sales - March 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for March 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-03 Utility Company A & N Electric Coop (Maryland) Place Maryland Start Date 2008-03-01 End Date 2008-04-01 Residential Revenue(Thousand $) 22.803 Residential Sales (MWh) 184.316 Residential Consumers 282 Commercial Revenue(Thousand $) 4.944 Commercial Sales (MWh) 37.174 Commercial Consumers 48 Total Revenue (Thousand $) 27.747 Total Sales (MWh) 221.49 Total Consumers 330 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next

154

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February  

Open Energy Info (EERE)

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for February 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-02 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-02-01 End Date 2008-03-01 Residential Revenue(Thousand $) 5156 Residential Sales (MWh) 58360 Residential Consumers 35731 Commercial Revenue(Thousand $) 1765 Commercial Sales (MWh) 16880 Commercial Consumers 8063 Industrial Revenue (Thousand $) 1345 Industrial Sales (MWh) 18516 Industrial Consumers 20 Total Revenue (Thousand $) 8266 Total Sales (MWh) 93756 Total Consumers 43814 Source: Energy Information Administration. Form EIA-826 Database Monthly

155

Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...  

Open Energy Info (EERE)

EIA Monthly Electric Utility Sales and Revenue Data for Alaska Electric Light&Power Co for February 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-02 Utility...

156

Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...  

Open Energy Info (EERE)

Alaska) EIA Revenue and Sales - July 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alaska Electric Light&Power Co for July 2008. Monthly...

157

Influence of Different Revenue Structures on the Economy of PV Plants in Selected Countries  

Science Journals Connector (OSTI)

The rentability of PV plants depends not only on cost, but also on revenues. Revenues are gained if electricity is fed into a grid or if tariff costs for non-delivered electricity can be taken into account. Un...

G. Hille; F. Stai; F. Steinborn

1991-01-01T23:59:59.000Z

158

A & N Electric Coop (Virginia) EIA Revenue and Sales - December 2008 | Open  

Open Energy Info (EERE)

& N Electric Coop (Virginia) EIA Revenue and Sales - December 2008 & N Electric Coop (Virginia) EIA Revenue and Sales - December 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for December 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-12 Utility Company A & N Electric Coop (Virginia) Place Virginia Start Date 2008-12-01 End Date 2009-01-01 Residential Revenue(Thousand $) 3387.979 Residential Sales (MWh) 26238.158 Residential Consumers 29955 Commercial Revenue(Thousand $) 1371.134 Commercial Sales (MWh) 11120.987 Commercial Consumers 4091 Industrial Revenue (Thousand $) 1247.948 Industrial Sales (MWh) 12732.6 Industrial Consumers 17 Total Revenue (Thousand $) 6007.061 Total Sales (MWh) 50091.745 Total Consumers 34063

159

City of Detroit (Michigan) EIA Revenue and Sales - November 2008 | Open  

Open Energy Info (EERE)

City of Detroit (Michigan) EIA Revenue and Sales - November 2008 City of Detroit (Michigan) EIA Revenue and Sales - November 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for City of Detroit for November 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-11 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-11-01 End Date 2008-12-01 Residential Revenue(Thousand $) 1.709 Residential Sales (MWh) 17.18 Residential Consumers 79 Commercial Revenue(Thousand $) 4219 Commercial Sales (MWh) 41796 Commercial Consumers 126 Other Revenue (Thousand $) 38.9 Other Sales (MWh) 376.3 Other Consumers 1 Total Revenue (Thousand $) 4259.609 Total Sales (MWh) 42189.48 Total Consumers 206 Source: Energy Information Administration. Form EIA-826 Database Monthly

160

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - March  

Open Energy Info (EERE)

EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for March 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-03 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2009-03-01 End Date 2009-04-01 Residential Revenue(Thousand $) 4997 Residential Sales (MWh) 45336 Residential Consumers 36181 Commercial Revenue(Thousand $) 1847 Commercial Sales (MWh) 14202 Commercial Consumers 8631 Industrial Revenue (Thousand $) 1402 Industrial Sales (MWh) 14267 Industrial Consumers 18 Total Revenue (Thousand $) 8246 Total Sales (MWh) 73805 Total Consumers 44830 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

Note: This page contains sample records for the topic "average revenue map" 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

RUNTIME QoS CONTROL AND REVENUE OPTIMIZATION WITHIN SERVICE ORIENTED ARCHITECTURE.  

E-Print Network [OSTI]

RUNTIME QoS CONTROL AND REVENUE OPTIMIZATION WITHIN SERVICE ORIENTED ARCHITECTURE. Miroslav Zivkovic. #12;RUNTIME QoS CONTROL AND REVENUE OPTIMIZATION WITHIN SERVICE ORIENTED ARCHITECTURE Miroslav AND REVENUE OPTIMIZATION WITHIN SERVICE ORIENTED ARCHITECTURE PROEFSCHRIFT ter verkrijging van de graad van

van der Mei, Rob

162

average | OpenEI  

Open Energy Info (EERE)

average average Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

163

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

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

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

164

Electric Utility Sales and Revenue - EIA-826 detailed data file  

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

Form EIA-826 detailed data Form EIA-826 detailed data The Form EIA-826 "Monthly Electric Utility Sales and Revenue Report with State Distributions" collects retail sales of electricity and associated revenue, each month, from a statistically chosen sample of electric utilities in the United States. The respondents to the Form EIA-826 are chosen from the Form EIA-861, "Annual Electric Utility Report." Methodology is based on the "Model-Based Sampling, Inference and Imputation." In 2003, EIA revised the survey to separate the transportation sales and reassign the other activities to the commercial and industrial sectors as appropriate. The "other" sector activities included public street and highway lighting, sales to public authorities, sales to railroads and railways, interdepartmental sales, and agricultural irrigations.

165

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - April 2008  

Open Energy Info (EERE)

Central Illinois Central Illinois Pub Serv Co for April 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-04 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-04-01 End Date 2008-05-01 Residential Revenue(Thousand $) 24400 Residential Sales (MWh) 247343 Residential Consumers 331573 Commercial Revenue(Thousand $) 14383 Commercial Sales (MWh) 152042 Commercial Consumers 52280 Industrial Revenue (Thousand $) 1241 Industrial Sales (MWh) 13081 Industrial Consumers 524 Other Revenue (Thousand $) 92 Other Sales (MWh) 1113 Other Consumers 1 Total Revenue (Thousand $) 40116 Total Sales (MWh) 413579 Total Consumers 384378 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

166

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - December  

Open Energy Info (EERE)

Central Illinois Central Illinois Pub Serv Co for December 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-12 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-12-01 End Date 2009-01-01 Residential Revenue(Thousand $) 35185 Residential Sales (MWh) 410509 Residential Consumers 327240 Commercial Revenue(Thousand $) 19393 Commercial Sales (MWh) 208884 Commercial Consumers 48125 Industrial Revenue (Thousand $) 1172 Industrial Sales (MWh) 15357 Industrial Consumers 466 Other Revenue (Thousand $) 78 Other Sales (MWh) 1202 Other Consumers 1 Total Revenue (Thousand $) 55828 Total Sales (MWh) 635952 Total Consumers 375832 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

167

City of Detroit (Michigan) EIA Revenue and Sales - February 2009 | Open  

Open Energy Info (EERE)

City of Detroit for City of Detroit for February 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-02 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2009-02-01 End Date 2009-03-01 Residential Revenue(Thousand $) 2.1 Residential Sales (MWh) 22.5 Residential Consumers 78 Commercial Revenue(Thousand $) 4175 Commercial Sales (MWh) 41864 Commercial Consumers 117 Other Revenue (Thousand $) 76.9 Other Sales (MWh) 786 Other Consumers 1 Total Revenue (Thousand $) 4254 Total Sales (MWh) 42672.5 Total Consumers 196 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=City_of_Detroit_(Michigan)_EIA_Revenue_and_Sales_-_February_2009&oldid=12572

168

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - December  

Open Energy Info (EERE)

4-County Electric 4-County Electric Power Assn for December 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-12 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-12-01 End Date 2009-01-01 Residential Revenue(Thousand $) 5629 Residential Sales (MWh) 49312 Residential Consumers 35980 Commercial Revenue(Thousand $) 2031 Commercial Sales (MWh) 15395 Commercial Consumers 8710 Industrial Revenue (Thousand $) 1337 Industrial Sales (MWh) 14148 Industrial Consumers 19 Total Revenue (Thousand $) 8997 Total Sales (MWh) 78855 Total Consumers 44709 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=4-County_Electric_Power_Assn_(Mississippi)_EIA_Revenue_and_Sales_-_December_2008&oldid=19495

169

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - June 2008 |  

Open Energy Info (EERE)

June 2008 June 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for June 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-06 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-06-01 End Date 2008-07-01 Residential Revenue(Thousand $) 39796 Residential Sales (MWh) 376563 Residential Consumers 348410 Commercial Revenue(Thousand $) 25354 Commercial Sales (MWh) 244206 Commercial Consumers 62285 Industrial Revenue (Thousand $) 1913 Industrial Sales (MWh) 11642 Industrial Consumers 542 Other Revenue (Thousand $) 54 Other Sales (MWh) 697 Other Consumers 1 Total Revenue (Thousand $) 67117 Total Sales (MWh) 633108 Total Consumers 411238 Source: Energy Information Administration. Form EIA-826 Database Monthly

170

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - February  

Open Energy Info (EERE)

February February 2009 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for February 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-02 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2009-02-01 End Date 2009-03-01 Residential Revenue(Thousand $) 28078 Residential Sales (MWh) 297866 Residential Consumers 341636 Commercial Revenue(Thousand $) 15755 Commercial Sales (MWh) 165037 Commercial Consumers 49052 Industrial Revenue (Thousand $) 639 Industrial Sales (MWh) 16720 Industrial Consumers 474 Other Revenue (Thousand $) 128 Other Sales (MWh) 2187 Other Consumers 1 Total Revenue (Thousand $) 44600 Total Sales (MWh) 481810 Total Consumers 391163

171

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - January  

Open Energy Info (EERE)

January January 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for January 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-01 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-01-01 End Date 2008-02-01 Residential Revenue(Thousand $) 38361 Residential Sales (MWh) 457391 Residential Consumers 334784 Commercial Revenue(Thousand $) 20964 Commercial Sales (MWh) 244215 Commercial Consumers 52783 Industrial Revenue (Thousand $) 1321 Industrial Sales (MWh) 21368 Industrial Consumers 539 Other Revenue (Thousand $) 52 Other Sales (MWh) 707 Other Consumers 1 Total Revenue (Thousand $) 60698 Total Sales (MWh) 723681 Total Consumers 388107

172

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - August  

Open Energy Info (EERE)

August August 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for August 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-08 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-08-01 End Date 2008-09-01 Residential Revenue(Thousand $) 5720 Residential Sales (MWh) 58786 Residential Consumers 36069 Commercial Revenue(Thousand $) 2643 Commercial Sales (MWh) 26367 Commercial Consumers 8540 Industrial Revenue (Thousand $) 1445 Industrial Sales (MWh) 19022 Industrial Consumers 20 Total Revenue (Thousand $) 9808 Total Sales (MWh) 104175 Total Consumers 44629 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

173

City of Detroit (Michigan) EIA Revenue and Sales - January 2008 | Open  

Open Energy Info (EERE)

January 2008 January 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for City of Detroit for January 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-01 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-01-01 End Date 2008-02-01 Residential Revenue(Thousand $) 1.7 Residential Sales (MWh) 19 Residential Consumers 76 Commercial Revenue(Thousand $) 4458 Commercial Sales (MWh) 47480 Commercial Consumers 123 Other Revenue (Thousand $) 63.3 Other Sales (MWh) 537 Other Consumers 1 Total Revenue (Thousand $) 4523 Total Sales (MWh) 48036 Total Consumers 200 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from

174

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - October  

Open Energy Info (EERE)

Central Illinois Central Illinois Pub Serv Co for October 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-10 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-10-01 End Date 2008-11-01 Residential Revenue(Thousand $) 27599 Residential Sales (MWh) 248769 Residential Consumers 329654 Commercial Revenue(Thousand $) 19506 Commercial Sales (MWh) 193998 Commercial Consumers 48492 Industrial Revenue (Thousand $) 1811 Industrial Sales (MWh) 14741 Industrial Consumers 477 Other Revenue (Thousand $) 55 Other Sales (MWh) 713 Other Consumers 1 Total Revenue (Thousand $) 48971 Total Sales (MWh) 458221 Total Consumers 378624 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

175

City of Detroit (Michigan) EIA Revenue and Sales - December 2008 | Open  

Open Energy Info (EERE)

City of Detroit for City of Detroit for December 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-12 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-12-01 End Date 2009-01-01 Residential Revenue(Thousand $) 1.8 Residential Sales (MWh) 18.3 Residential Consumers 80 Commercial Revenue(Thousand $) 3407 Commercial Sales (MWh) 34836 Commercial Consumers 118 Other Revenue (Thousand $) 38.9 Other Sales (MWh) 376 Other Consumers 1 Total Revenue (Thousand $) 3447.7 Total Sales (MWh) 35230.3 Total Consumers 199 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=City_of_Detroit_(Michigan)_EIA_Revenue_and_Sales_-_December_2008&oldid=19459

176

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - March  

Open Energy Info (EERE)

4-County Electric 4-County Electric Power Assn for March 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-03 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-03-01 End Date 2008-04-01 Residential Revenue(Thousand $) 4327 Residential Sales (MWh) 47531 Residential Consumers 35777 Commercial Revenue(Thousand $) 1611 Commercial Sales (MWh) 14718 Commercial Consumers 8072 Industrial Revenue (Thousand $) 1263 Industrial Sales (MWh) 14908 Industrial Consumers 20 Total Revenue (Thousand $) 7201 Total Sales (MWh) 77157 Total Consumers 43869 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=4-County_Electric_Power_Assn_(Mississippi)_EIA_Revenue_and_Sales_-_March_2008&oldid=14733

177

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - October  

Open Energy Info (EERE)

4-County Electric 4-County Electric Power Assn for October 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-10 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-10-01 End Date 2008-11-01 Residential Revenue(Thousand $) 4860 Residential Sales (MWh) 41611 Residential Consumers 36025 Commercial Revenue(Thousand $) 2534 Commercial Sales (MWh) 20639 Commercial Consumers 8686 Industrial Revenue (Thousand $) 1229 Industrial Sales (MWh) 15293 Industrial Consumers 19 Total Revenue (Thousand $) 8623 Total Sales (MWh) 77543 Total Consumers 44730 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=4-County_Electric_Power_Assn_(Mississippi)_EIA_Revenue_and_Sales_-_October_2008&oldid=18430"

178

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - May 2008  

Open Energy Info (EERE)

May 2008 May 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for May 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-05 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-05-01 End Date 2008-06-01 Residential Revenue(Thousand $) 3585 Residential Sales (MWh) 34492 Residential Consumers 35775 Commercial Revenue(Thousand $) 1809 Commercial Sales (MWh) 16055 Commercial Consumers 8087 Industrial Revenue (Thousand $) 1467 Industrial Sales (MWh) 17891 Industrial Consumers 20 Total Revenue (Thousand $) 6861 Total Sales (MWh) 68438 Total Consumers 43882 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

179

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - March 2008  

Open Energy Info (EERE)

March 2008 March 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for March 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-03 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-03-01 End Date 2008-04-01 Residential Revenue(Thousand $) 25715 Residential Sales (MWh) 250621 Residential Consumers 337464 Commercial Revenue(Thousand $) 15187 Commercial Sales (MWh) 156079 Commercial Consumers 52810 Industrial Revenue (Thousand $) 1664 Industrial Sales (MWh) 17211 Industrial Consumers 529 Other Revenue (Thousand $) 106 Other Sales (MWh) 880 Other Consumers 1 Total Revenue (Thousand $) 42672 Total Sales (MWh) 424791 Total Consumers 390804 Source: Energy Information Administration. Form EIA-826 Database Monthly

180

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - May 2008 |  

Open Energy Info (EERE)

Central Illinois Central Illinois Pub Serv Co for May 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-05 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-05-01 End Date 2008-06-01 Residential Revenue(Thousand $) 24553 Residential Sales (MWh) 218454 Residential Consumers 337410 Commercial Revenue(Thousand $) 19095 Commercial Sales (MWh) 187996 Commercial Consumers 55845 Industrial Revenue (Thousand $) 1116 Industrial Sales (MWh) 34382 Industrial Consumers 519 Other Revenue (Thousand $) 52 Other Sales (MWh) 702 Other Consumers 1 Total Revenue (Thousand $) 44816 Total Sales (MWh) 441534 Total Consumers 393775 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

Note: This page contains sample records for the topic "average revenue map" 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

City of Detroit (Michigan) EIA Revenue and Sales - August 2008 | Open  

Open Energy Info (EERE)

City of Detroit for City of Detroit for August 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-08 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-08-01 End Date 2008-09-01 Residential Revenue(Thousand $) 1.75 Residential Sales (MWh) 18.6 Residential Consumers 77 Commercial Revenue(Thousand $) 4689 Commercial Sales (MWh) 45432 Commercial Consumers 124 Other Revenue (Thousand $) 51 Other Sales (MWh) 403 Other Consumers 1 Total Revenue (Thousand $) 4741.75 Total Sales (MWh) 45853.6 Total Consumers 202 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=City_of_Detroit_(Michigan)_EIA_Revenue_and_Sales_-_August_2008&oldid=17335

182

City of Detroit (Michigan) EIA Revenue and Sales - April 2008 | Open Energy  

Open Energy Info (EERE)

April 2008 April 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for City of Detroit for April 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-04 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-04-01 End Date 2008-05-01 Residential Revenue(Thousand $) 1.2 Residential Sales (MWh) 13 Residential Consumers 81 Commercial Revenue(Thousand $) 4537 Commercial Sales (MWh) 41373 Commercial Consumers 121 Other Revenue (Thousand $) 55 Other Sales (MWh) 400 Other Consumers 1 Total Revenue (Thousand $) 4593.2 Total Sales (MWh) 41786 Total Consumers 203 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from

183

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - January  

Open Energy Info (EERE)

January January 2009 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for January 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-01 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2009-01-01 End Date 2009-02-01 Residential Revenue(Thousand $) 38208 Residential Sales (MWh) 442616 Residential Consumers 329875 Commercial Revenue(Thousand $) 18652 Commercial Sales (MWh) 197785 Commercial Consumers 47346 Industrial Revenue (Thousand $) 1173 Industrial Sales (MWh) 16509 Industrial Consumers 453 Other Revenue (Thousand $) 100 Other Sales (MWh) 1537 Other Consumers 1 Total Revenue (Thousand $) 58133 Total Sales (MWh) 658447 Total Consumers 377675

184

City of Detroit (Michigan) EIA Revenue and Sales - January 2009 | Open  

Open Energy Info (EERE)

City of Detroit for City of Detroit for January 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-01 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2009-01-01 End Date 2009-02-01 Residential Revenue(Thousand $) 2.5 Residential Sales (MWh) 27 Residential Consumers 81 Commercial Revenue(Thousand $) 4964 Commercial Sales (MWh) 48160 Commercial Consumers 120 Other Revenue (Thousand $) 63.5 Other Sales (MWh) 513 Other Consumers 1 Total Revenue (Thousand $) 5030 Total Sales (MWh) 48700 Total Consumers 202 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=City_of_Detroit_(Michigan)_EIA_Revenue_and_Sales_-_January_2009&oldid=12026

185

City of Detroit (Michigan) EIA Revenue and Sales - June 2008 | Open Energy  

Open Energy Info (EERE)

City of Detroit for City of Detroit for June 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-06 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-06-01 End Date 2008-07-01 Residential Revenue(Thousand $) 1.6 Residential Sales (MWh) 17.7 Residential Consumers 77 Commercial Revenue(Thousand $) 4376 Commercial Sales (MWh) 44180 Commercial Consumers 123 Other Revenue (Thousand $) 49 Other Sales (MWh) 386 Other Consumers 1 Total Revenue (Thousand $) 4426.6 Total Sales (MWh) 44583.7 Total Consumers 201 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=City_of_Detroit_(Michigan)_EIA_Revenue_and_Sales_-_June_2008&oldid=16285

186

City of Detroit (Michigan) EIA Revenue and Sales - March 2009 | Open Energy  

Open Energy Info (EERE)

9 9 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for City of Detroit for March 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-03 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2009-03-01 End Date 2009-04-01 Residential Revenue(Thousand $) 2.1 Residential Sales (MWh) 20.7 Residential Consumers 79 Commercial Revenue(Thousand $) 3720 Commercial Sales (MWh) 36330 Commercial Consumers 112 Other Revenue (Thousand $) 60.4 Other Sales (MWh) 560 Other Consumers 1 Total Revenue (Thousand $) 3782.5 Total Sales (MWh) 36910.7 Total Consumers 192 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from

187

City of Detroit (Michigan) EIA Revenue and Sales - July 2008 | Open Energy  

Open Energy Info (EERE)

City of Detroit for City of Detroit for July 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-07 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-07-01 End Date 2008-08-01 Residential Revenue(Thousand $) 1.7 Residential Sales (MWh) 18.1 Residential Consumers 77 Commercial Revenue(Thousand $) 4597 Commercial Sales (MWh) 44891 Commercial Consumers 123 Other Revenue (Thousand $) 52 Other Sales (MWh) 408 Other Consumers 1 Total Revenue (Thousand $) 4650.7 Total Sales (MWh) 45317.1 Total Consumers 201 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=City_of_Detroit_(Michigan)_EIA_Revenue_and_Sales_-_July_2008&oldid=16810"

188

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - June  

Open Energy Info (EERE)

June June 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for June 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-06 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-06-01 End Date 2008-07-01 Residential Revenue(Thousand $) 4308 Residential Sales (MWh) 43136 Residential Consumers 35693 Commercial Revenue(Thousand $) 2163 Commercial Sales (MWh) 20896 Commercial Consumers 8204 Industrial Revenue (Thousand $) 1584 Industrial Sales (MWh) 20161 Industrial Consumers 21 Total Revenue (Thousand $) 8055 Total Sales (MWh) 84193 Total Consumers 43918 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

189

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January  

Open Energy Info (EERE)

January January 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for January 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-01 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-01-01 End Date 2008-02-01 Residential Revenue(Thousand $) 4728 Residential Sales (MWh) 52804 Residential Consumers 35677 Commercial Revenue(Thousand $) 1764 Commercial Sales (MWh) 17519 Commercial Consumers 8082 Industrial Revenue (Thousand $) 1337 Industrial Sales (MWh) 17398 Industrial Consumers 20 Total Revenue (Thousand $) 7829 Total Sales (MWh) 87721 Total Consumers 43779 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

190

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - April  

Open Energy Info (EERE)

April April 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for April 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-04 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-04-01 End Date 2008-05-01 Residential Revenue(Thousand $) 3675 Residential Sales (MWh) 35568 Residential Consumers 35751 Commercial Revenue(Thousand $) 1765 Commercial Sales (MWh) 14949 Commercial Consumers 8105 Industrial Revenue (Thousand $) 1350 Industrial Sales (MWh) 18637 Industrial Consumers 20 Total Revenue (Thousand $) 6790 Total Sales (MWh) 69154 Total Consumers 43876 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

191

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - July  

Open Energy Info (EERE)

July July 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for July 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-07 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2008-07-01 End Date 2008-08-01 Residential Revenue(Thousand $) 5325 Residential Sales (MWh) 54199 Residential Consumers 35931 Commercial Revenue(Thousand $) 2496 Commercial Sales (MWh) 24576 Commercial Consumers 8442 Industrial Revenue (Thousand $) 1484 Industrial Sales (MWh) 18327 Industrial Consumers 21 Total Revenue (Thousand $) 9305 Total Sales (MWh) 97102 Total Consumers 44394 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1]

192

DOE Average Results  

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

DOE DOE Average Results FY 12 DOE Target FY 12 Customer Perspective: Customer Satisfaction: -Timeliness 92 88 -Quality 94 92 Effective Service Partnership: -Extent of Customer Satisfaction with the responsiveness, etc. 90 92 Internal Business Perspective: Acquisition Excellence: -Extent to which internal quality control systems are effective 90 88 Most Effective Use of Contracting Approaches to Maximize Efficiency and Cost Effectiveness: Use of Competition: -% of total $'s obligated on competitive acquisitions >$3000 (Agency Level Only) 94 85 -% of acquisition actions competed for actions > $3000 (Agency Level Only) 65 68 Performance Based Acquisition: - % PBA actions relative to total eligible new acquisition actions (applicable to new actions > $25K) 82

193

Americans' Average Radiation Exposure  

SciTech Connect (OSTI)

We live with radiation every day. We receive radiation exposures from cosmic rays, from outer space, from radon gas, and from other naturally radioactive elements in the earth. This is called natural background radiation. It includes the radiation we get from plants, animals, and from our own bodies. We also are exposed to man-made sources of radiation, including medical and dental treatments, television sets and emission from coal-fired power plants. Generally, radiation exposures from man-made sources are only a fraction of those received from natural sources. One exception is high exposures used by doctors to treat cancer patients. Each year in the United States, the average dose to people from natural and man-made radiation sources is about 360 millirem. A millirem is an extremely tiny amount of energy absorbed by tissues in the body.

NA

2000-08-11T23:59:59.000Z

194

A & N Electric Coop (Maryland) EIA Revenue and Sales - December 2008 | Open  

Open Energy Info (EERE)

A & N Electric Coop A & N Electric Coop for December 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-12 Utility Company A & N Electric Coop (Maryland) Place Maryland Start Date 2008-12-01 End Date 2009-01-01 Residential Revenue(Thousand $) 24.33 Residential Sales (MWh) 185.391 Residential Consumers 283 Commercial Revenue(Thousand $) 5.013 Commercial Sales (MWh) 35.107 Commercial Consumers 48 Total Revenue (Thousand $) 29.343 Total Sales (MWh) 220.498 Total Consumers 331 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=A_%26_N_Electric_Coop_(Maryland)_EIA_Revenue_and_Sales_-_December_2008&oldid=19445

195

A & N Electric Coop (Maryland) EIA Revenue and Sales - January 2008 | Open  

Open Energy Info (EERE)

A & N Electric Coop A & N Electric Coop for January 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-01 Utility Company A & N Electric Coop (Maryland) Place Maryland Start Date 2008-01-01 End Date 2008-02-01 Residential Revenue(Thousand $) 27.415 Residential Sales (MWh) 227.468 Residential Consumers 280 Commercial Revenue(Thousand $) 6.434 Commercial Sales (MWh) 50.297 Commercial Consumers 48 Total Revenue (Thousand $) 33.849 Total Sales (MWh) 277.765 Total Consumers 328 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=A_%26_N_Electric_Coop_(Maryland)_EIA_Revenue_and_Sales_-_January_2008&oldid=13616"

196

A & N Electric Coop (Virginia) EIA Revenue and Sales - January 2008 | Open  

Open Energy Info (EERE)

8 8 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for January 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-01 Utility Company A & N Electric Coop (Virginia) Place Virginia Start Date 2008-01-01 End Date 2008-02-01 Residential Revenue(Thousand $) 2520.599 Residential Sales (MWh) 21314.163 Residential Consumers 29923 Commercial Revenue(Thousand $) 713.471 Commercial Sales (MWh) 6200.643 Commercial Consumers 4127 Industrial Revenue (Thousand $) 988.903 Industrial Sales (MWh) 11242.109 Industrial Consumers 17 Total Revenue (Thousand $) 4222.973 Total Sales (MWh) 38756.915 Total Consumers 34067 Source: Energy Information Administration. Form EIA-826 Database Monthly

197

A & N Electric Coop (Virginia) EIA Revenue and Sales - June 2008 | Open  

Open Energy Info (EERE)

June 2008 June 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for June 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-06 Utility Company A & N Electric Coop (Virginia) Place Virginia Start Date 2008-06-01 End Date 2008-07-01 Residential Revenue(Thousand $) 2705.705 Residential Sales (MWh) 20742.585 Residential Consumers 29861 Commercial Revenue(Thousand $) 1580.369 Commercial Sales (MWh) 12964.065 Commercial Consumers 4081 Industrial Revenue (Thousand $) 1437.835 Industrial Sales (MWh) 14640.78 Industrial Consumers 17 Total Revenue (Thousand $) 5723.909 Total Sales (MWh) 48347.43 Total Consumers 33959 Source: Energy Information Administration. Form EIA-826 Database Monthly

198

A & N Electric Coop (Maryland) EIA Revenue and Sales - January 2009 | Open  

Open Energy Info (EERE)

A & N Electric Coop A & N Electric Coop for January 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-01 Utility Company A & N Electric Coop (Maryland) Place Maryland Start Date 2009-01-01 End Date 2009-02-01 Residential Revenue(Thousand $) 33.241 Residential Sales (MWh) 268.236 Residential Consumers 283 Commercial Revenue(Thousand $) 7.293 Commercial Sales (MWh) 55.35 Commercial Consumers 48 Total Revenue (Thousand $) 40.534 Total Sales (MWh) 323.586 Total Consumers 331 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=A_%26_N_Electric_Coop_(Maryland)_EIA_Revenue_and_Sales_-_January_2009&oldid=12012

199

City of Detroit (Michigan) EIA Revenue and Sales - February 2008 | Open  

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 Page Edit History Facebook icon Twitter icon » City of Detroit (Michigan) EIA Revenue and Sales - February 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for City of Detroit for February 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-02 Utility Company City of Detroit (Michigan) Place Michigan Start Date 2008-02-01 End Date 2008-03-01 Residential Revenue(Thousand $) 1.5 Residential Sales (MWh) 17 Residential Consumers 76 Commercial Revenue(Thousand $) 4083 Commercial Sales (MWh) 43432 Commercial Consumers 123 Other Revenue (Thousand $) 55 Other Sales (MWh) 494

200

A & N Electric Coop (Maryland) EIA Revenue and Sales - April 2008 | Open  

Open Energy Info (EERE)

A & N Electric Coop A & N Electric Coop for April 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-04 Utility Company A & N Electric Coop (Maryland) Place Maryland Start Date 2008-04-01 End Date 2008-05-01 Residential Revenue(Thousand $) 19.183 Residential Sales (MWh) 150.454 Residential Consumers 282 Commercial Revenue(Thousand $) 6.078 Commercial Sales (MWh) 47.676 Commercial Consumers 48 Total Revenue (Thousand $) 25.261 Total Sales (MWh) 198.13 Total Consumers 330 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data [1] Previous | Next Retrieved from "http://en.openei.org/w/index.php?title=A_%26_N_Electric_Coop_(Maryland)_EIA_Revenue_and_Sales_-_April_2008&oldid=15216

Note: This page contains sample records for the topic "average revenue map" 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

Flash2007-33RevenueTierDiscounts.rtf  

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

REVENUE TIER DISCOUNT REVENUE TIER DISCOUNT S* Service Category Baseline $0-$9M Tier 1 $10-34M Tier 2 $ 35-74M Tier 3 $75-149M Tier 4 $150-199M Tier 5 $200M+ Express Next Day First AM MAS MAS MAS MAS MAS MAS Express Next Day Mid-Morning MAS 21.9% 24.0% 26.9% 29.2% 30.2% Express Next Day Afternoon MAS 21.9% 24.0% 26.9% 29.2% 30.2% Express Second Day MAS 21.9% 24.0% 26.9% 29.2% 30.2% Express Third Day MAS 21.9% 24.0% 26.9% 29.2% 30.2% Intl Priority - Puerto Rico MAS MAS MAS MAS MAS MAS Intl Economy - Puerto Rico MAS MAS MAS MAS MAS MAS Same Day Service MAS MAS MAS MAS MAS MAS Standard Ground** MAS 1.7% 4.8% 13.2% 15.2% 17.3% Ground $4,000 - $40,000** Not Offered 4.8% 11.1% 15.2% 17.3% 27.9% Ground $40,000+" Not Offered 39.2% 39.2% 39.2% 39.2% 39.2% *Discounts shown EXCLUDE the waiver of fuel surcharges and are thus understated

202

Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets  

Broader source: Energy.gov [DOE]

Provides information for energy efficiency programs on the opportunities and challenges associated with participating in forward capacity markets and reliability pricing models as potential revenue streams.

203

Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...  

Open Energy Info (EERE)

November 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alaska Electric Light&Power Co for November 2008. Monthly Electric Utility Sales...

204

Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...  

Open Energy Info (EERE)

December 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alaska Electric Light&Power Co for December 2008. Monthly Electric Utility Sales...

205

Oil revenue of the Arabian gulf Emirates: patterns of allocation and impact on economic development.  

E-Print Network [OSTI]

??The study aims to analyse the oil revenue, its allocational pattern and impact on economic development in Kuwait, Bahrain, Qatar and the UAE from the (more)

Al-Kuwari, Ali Khalifa

1974-01-01T23:59:59.000Z

206

Oil revenue and economic development case of Libyan economy (1970-2007).  

E-Print Network [OSTI]

??This study aims to investigate different aspects of the relationship between oil revenues and economic development for the Libyan economy. To do so this thesis (more)

Ali, Issa Saleh

2011-01-01T23:59:59.000Z

207

Analysis and Modelling of Fraud and Revenue Assurance Threats in Future Telecommunications Network and Service Environments  

E-Print Network [OSTI]

Analysis and Modelling of Fraud and Revenue Assurance Threats in Future Telecommunications Network and revenue assurance in future telecommunication network and service environments. 1. Introduction, usually, to obtain property or services from him or her unjustly [1]. The Telecommunications (Fraud) Act

Haddadi, Hamed

208

Federal offshore statistics: 1995 - leasing, exploration, production, and revenue as of December 31, 1995  

SciTech Connect (OSTI)

This report provides data on federal offshore operations for 1995. Information is included for leasing activities, development, petroleum and natural gas production, sales and royalties, revenue from federal offshore leasing, disbursement of federal revenues, reserves and resource estimates, and oil pollution in U.S. and international waters.

Gaechter, R.A.

1997-07-01T23:59:59.000Z

209

4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January  

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 Page Edit History Facebook icon Twitter icon » 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2009 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for 4-County Electric Power Assn for January 2009. Monthly Electric Utility Sales and Revenue Data Short Name 2009-01 Utility Company 4-County Electric Power Assn (Mississippi) Place Mississippi Start Date 2009-01-01 End Date 2009-02-01 Residential Revenue(Thousand $) 6009 Residential Sales (MWh) 56047 Residential Consumers 36041 Commercial Revenue(Thousand $) 2159 Commercial Sales (MWh) 17259 Commercial Consumers 8727

210

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - February  

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 Page Edit History Facebook icon Twitter icon » Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - February 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for February 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-02 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-02-01 End Date 2008-03-01 Residential Revenue(Thousand $) 32207 Residential Sales (MWh) 371971 Residential Consumers 331256 Commercial Revenue(Thousand $) 18469 Commercial Sales (MWh) 200148 Commercial Consumers 52121

211

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

Open Energy Info (EERE)

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

212

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - November  

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 Page Edit History Facebook icon Twitter icon » Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - November 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for November 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-11 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-11-01 End Date 2008-12-01 Residential Revenue(Thousand $) 36996 Residential Sales (MWh) 319196 Residential Consumers 331439 Commercial Revenue(Thousand $) 20266 Commercial Sales (MWh) 191904 Commercial Consumers 48563

213

DOE Receives $57.2 Million in Revenue Sharing Agreement | Department of  

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

Receives $57.2 Million in Revenue Sharing Agreement Receives $57.2 Million in Revenue Sharing Agreement DOE Receives $57.2 Million in Revenue Sharing Agreement February 3, 2009 - 12:00pm Addthis Washington, D.C. -- The U. S. Department of Energy (DOE) has received a payment of $57.2 million from the Dakota Gasification Company (DGC), a subsidiary of Basin Electric Power Generation, pursuant to the revenue sharing provision of an Asset Purchase Agreement among DOE, DGC and Basin. The current payment of $57.2 million brings the total to $380 million of revenue sharing payments DOE has received from the sale of synthetic natural gas produced from the Great Plains Synfuels Plant. The Great Plains Synfuels Plant has been successfully operated for more than 20 years and has brought significant opportunities to study and benefit from the

214

Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - September  

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 Page Edit History Facebook icon Twitter icon » Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - September 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for September 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-09 Utility Company Central Illinois Pub Serv Co (Illinois) Place Illinois Start Date 2008-09-01 End Date 2008-10-01 Residential Revenue(Thousand $) 21156 Residential Sales (MWh) 187445 Residential Consumers 329283 Commercial Revenue(Thousand $) 14874 Commercial Sales (MWh) 128656 Commercial Consumers 48190

215

Sell-in versus Sell-through Revenue Recognition: An Examination of Firm Characteristics and Financial Information Quality  

E-Print Network [OSTI]

This study examines revenue recognition methods used by high technology firms for sales to distributors. Revenue is either recognized when products are delivered to distributors (sell-in) or when distributors resell products to end-users (sell...

Rasmussen, Stephanie Jean Binger

2010-10-12T23:59:59.000Z

216

Viscosity-average molecular weight  

Science Journals Connector (OSTI)

n .... An averaged molecular weight for high polymers that relates most closely to measurements of dilute-solution viscosities ...

2007-01-01T23:59:59.000Z

217

United States Wind Resource Map: Annual Average Wind Speed at...  

Wind Powering America (EERE)

4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for windNavigator . Web: http:www.windnavigator.com | http:www.awstruepower.com. Spatial resolution of wind...

218

Does anyone have access to 2012 average residential rates by utility  

Open Energy Info (EERE)

Does anyone have access to 2012 average residential rates by utility Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility Rate I'm interested in getting a spreadsheet of the most recent EIA average residential utility rates as per the calculation on the http://en.openei.org/wiki/Gateway:Utilities page that generates average rates for utilities, for example: Los Angeles Department of Water & Power (utility ID #11208): EIA Average Rates: Residential: 12.6 cents/kWh Commercial: 12.5 cents/kWh Industrial: 10.9 cents/kWh The site references taking revenue divided by sales from the EIA 861 data set (most recent is 2011) but the calculation I get by dividing revenue by sales from their File2_2011.xls spreadsheet is 12.8 cents/kWh. I spot

219

Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...  

Open Energy Info (EERE)

August 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-08 Utility Company Alaska Electric Light&Power Co (Alaska) Place Alaska Start Date 2008-08-01 End Date...

220

Chain hotels versus independent hotels : an analysis of branding, room revenue & volatility  

E-Print Network [OSTI]

This thesis analyzes the historical performance of chain-affiliated hotels and independent (non-affiliated) hotels with an emphasis on the volatility of room revenues. The thesis attempts to prove or disprove the hypothesis ...

Langlois, Tyler J. (Tyler Joseph), 1974-

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average revenue map" 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

Averaging Hypotheses in Newtonian Cosmology  

E-Print Network [OSTI]

Average properties of general inhomogeneous cosmological models are discussed in the Newtonian framework. It is shown under which circumstances the average flow reduces to a member of the standard Friedmann--Lema\\^\\i tre cosmologies. Possible choices of global boundary conditions of inhomogeneous cosmologies as well as consequences for the interpretation of cosmological parameters are put into perspective.

T. Buchert

1995-12-20T23:59:59.000Z

222

Federal Offshore Statistics, 1993. Leasing, exploration, production, and revenue as of December 31, 1993  

SciTech Connect (OSTI)

This document contains statistical data on the following: federal offshore lands; offshore leasing activity and status; offshore development activity; offshore production of crude oil and natural gas; federal offshore oil and natural gas sales volume and royalties; revenue from federal offshore leases; disbursement of federal offshore revenue; reserves and resource estimates of offshore oil and natural gas; oil pollution in US and international waters; and international activities and marine minerals. A glossary is included.

Francois, D.K.

1994-12-31T23:59:59.000Z

223

Estimating the maximum potential revenue for grid connected electricity storage : arbitrage and regulation.  

SciTech Connect (OSTI)

The valuation of an electricity storage device is based on the expected future cash ow generated by the device. Two potential sources of income for an electricity storage system are energy arbitrage and participation in the frequency regulation market. Energy arbitrage refers to purchasing (stor- ing) energy when electricity prices are low, and selling (discharging) energy when electricity prices are high. Frequency regulation is an ancillary service geared towards maintaining system frequency, and is typically procured by the independent system operator in some type of market. This paper outlines the calculations required to estimate the maximum potential revenue from participating in these two activities. First, a mathematical model is presented for the state of charge as a function of the storage device parameters and the quantities of electricity purchased/sold as well as the quantities o ered into the regulation market. Using this mathematical model, we present a linear programming optimization approach to calculating the maximum potential revenue from an elec- tricity storage device. The calculation of the maximum potential revenue is critical in developing an upper bound on the value of storage, as a benchmark for evaluating potential trading strate- gies, and a tool for capital nance risk assessment. Then, we use historical California Independent System Operator (CAISO) data from 2010-2011 to evaluate the maximum potential revenue from the Tehachapi wind energy storage project, an American Recovery and Reinvestment Act of 2009 (ARRA) energy storage demonstration project. We investigate the maximum potential revenue from two di erent scenarios: arbitrage only and arbitrage combined with the regulation market. Our analysis shows that participation in the regulation market produces four times the revenue compared to arbitrage in the CAISO market using 2010 and 2011 data. Then we evaluate several trading strategies to illustrate how they compare to the maximum potential revenue benchmark. We conclude with a sensitivity analysis with respect to key parameters.

Byrne, Raymond Harry; Silva Monroy, Cesar Augusto.

2012-12-01T23:59:59.000Z

224

Core Measure Average KTR Results  

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

Measure Measure Average KTR Results FY 12 Target FY 12 DOE M&O CONTRACTOR (KTR) BSC RESULTS FY 2012 Customer Perspective and level of communication provided by the procurement office 95 92 Internal Business Perspective: Assessment (%) of the degree to which the purchasing system is in compliance with stakeholder requirements 97 Local Goals % Delivery on-time (includes JIT, excludes Purchase Cards) 88 84 % of total dollars obligated, on actions > $150K , that were awarded using effective competition 73 Local Goals Rapid Purchasing Techniques: -% of transactions placed by users 77 Local Goals -% of transactions placed through electronic commerce 62 Local Goals Average Cycle Time: -Average cycle time for <= $150K 8 6 to 9 days

225

November 15, 2012 Webinar: Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets  

Broader source: Energy.gov [DOE]

November 15, 2012 Webinar: Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets, Better Buildings Neighborhood Program; regional transmission organizations (RTOs)

226

West Texas Intermediate Spot Average ............................  

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

Crude Oil (dollars per barrel) Crude Oil (dollars per barrel) West Texas Intermediate Spot Average ............................ 102.88 93.42 92.24 87.96 94.34 94.10 105.84 96.30 95.67 95.33 95.67 93.33 94.12 97.64 95.00 Brent Spot Average ........................................................... 118.49 108.42 109.61 110.09 112.49 102.58 110.27 108.29 106.33 105.00 103.00 102.00 111.65 108.41 104.08 Imported Average .............................................................. 108.14 101.18 97.18 97.64 98.71 97.39 103.07 100.03 99.64 99.33 99.69 97.35 101.09 99.85 99.04 Refiner Average Acquisition Cost ...................................... 107.61 101.44 97.38 97.27 101.14 99.45 105.24 100.44 100.15 99.82 100.18 97.83 100.83 101.61 99.50 Liquid Fuels (cents per gallon) Refiner Prices for Resale Gasoline .........................................................................

227

Extension maps  

E-Print Network [OSTI]

We define extension maps as maps that extend a system (through adding ancillary systems) without changing the state in the original system. We show, using extension maps, why a completely positive operation on an initially entangled system results in a non positive mapping of a subsystem. We also show that any trace preserving map, either positive or negative, can be decomposed in terms of an extension map and a completely positive map.

Aik-meng Kuah; E. C. G. Sudarshan

2005-03-12T23:59:59.000Z

228

Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provide  

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

Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provider, 1990-2012" Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",386304,429152,232325,0,"NA",1047781 2012,"AL","Total Electric Industry",3491380,2318146,2100936,0,"NA",7910462 2012,"AR","Total Electric Industry",1664696,933567,971266,52,"NA",3569581 2012,"AZ","Total Electric Industry",3718357,2829551,813094,0,"NA",7361001 2012,"CA","Total Electric Industry",13821565,16327164,4925482,49095,"NA",35123306

229

map | OpenEI  

Open Energy Info (EERE)

map map Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for photovoltaic power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GHI map NREL solar SWERA UNEP Data application/pdf icon Download Maps (pdf, 1.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Please cite NREL and UNEP SWERA.

230

maps | OpenEI  

Open Energy Info (EERE)

maps maps Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

231

Location Map  

SciTech Connect (OSTI)

Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

Lane, Michael

2013-06-27T23:59:59.000Z

232

Location Map  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

Lane, Michael

233

Semi-Markov Adaptive Critic Heuristics with Application to Airline Revenue Management  

E-Print Network [OSTI]

Semi-Markov Adaptive Critic Heuristics with Application to Airline Revenue Management Ketaki Management and Systems Engineering Missouri University of Science and Technology Rolla, MO 65409 Abstract the time spent in each transition of the underlying Markov chains is itself a random variable

Gosavi, Abhijit

234

Revenue Maximization in Reservation-based Online Advertising Through Dynamic Inventory  

E-Print Network [OSTI]

and oftentimes a publisher uncontrollably runs out of a highly desirable inventory type, failing to meetRevenue Maximization in Reservation-based Online Advertising Through Dynamic Inventory Management inventory on content sites owned by publishers (e.g., CNN, amazon, etc.). Sales representatives, acting

Tomkins, Andrew

235

Assessing the Impact of Heat Rejection Technology on CSP Plant Revenue: Preprint  

SciTech Connect (OSTI)

This paper explores the impact of cooling technology on revenue for hybrid-cooled plants with varying wet cooling penetration for four representative locations in the American Southwest. The impact of ACC design-point initial temperature difference (ITD - the difference between the condensing steam temperature and ambient dry-bulb) is also included in the analysis.

Wagner, M. J.; Kutscher, C. F.

2010-10-01T23:59:59.000Z

236

Variable Average Absolute Percent Differences  

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

Variable Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 1.0 42.6 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 35.2 18.6 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 34.7 19.7 Total Petroleum Consumption (Table 4) 6.2 66.5 Crude Oil Production (Table 5) 6.0 59.6 Petroleum Net Imports (Table 6) 13.3 67.0 Natural Gas Natural Gas Wellhead Prices (Constant $) (Table 7a) 30.7 26.1 Natural Gas Wellhead Prices (Nominal $) (Table 7b) 30.0 27.1 Total Natural Gas Consumption (Table 8) 7.8 70.2 Natural Gas Production (Table 9) 7.1 66.0 Natural Gas Net Imports (Table 10) 29.3 69.7 Coal Coal Prices to Electric Generating Plants (Constant $)** (Table 11a)

237

Year Average Transportation Cost of Coal  

Gasoline and Diesel Fuel Update (EIA)

delivered costs of coal, by year and primary transport mode Year Average Transportation Cost of Coal (Dollars per Ton) Average Delivered Cost of Coal (Dollars per Ton)...

238

Federal offshore statistics: 1992. Leasing, exploration, production, and revenues as of December 31, 1992  

SciTech Connect (OSTI)

The Outer Continental Shelf Lands Act, enacted in 1953 and amended several times, charges the Secretary of the Interior with the responsibility for administering and managing mineral exploration and development of the outer continental shelf, as well as for conserving its natural resources. This report documents the following: Federal offshore lands; offshore leasing activity and status; offshore development activity; offshore production of crude oil and natural gas; Federal offshore oil and natural gas sales volume and royalties; revenue from Federal offshore leases; disbursement of Federal offshore revenue; reserves and resource estimates of offshore oil and natural gas; oil pollution in US and international waters; and international activities and marine minerals. 11 figs., 83 tabs.

Francois, D.K.

1993-12-31T23:59:59.000Z

239

Esthetically Designed Municipal PV System Maximizes Energy Production and Revenue Return  

Broader source: Energy.gov [DOE]

In late 2008, the City of Sebastopol, CA installed a unique 42 kW grid-interactive photovoltaic (PV) system to provide electricity for pumps of the Sebastopol municipal water system. The resulting innovative Sun Dragon PV system, located in a public park, includes design elements that provide optimized electrical performance and revenue generation for the energy produced while also presenting an artistic and unique appearance to park visitors.

240

Study Shows Active Power Controls from Wind May Increase Revenues and Improve System Reliability  

Broader source: Energy.gov [DOE]

The DOE Wind Program and the National Renewable Energy Laboratory recently published a study conducted in collaboration with the Electric Power Research Institute and the University of Colorado. Researchers examined how the contribution of wind power providing active power controls could benefit the total power system economics, increase revenue streams, and improve the reliability and security of the nations power system, all while having negligible impacts on the turbine and its components.

Note: This page contains sample records for the topic "average revenue map" 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

Time-average TV holography for vibration fringe analysis  

SciTech Connect (OSTI)

Time-average TV holography is widely used method for vibration measurement. The method generates speckle correlation time-averaged J0 fringes that can be used for full-field qualitative visualization of mode shapes at resonant frequencies of an object under harmonic excitation. In order to map the amplitudes of vibration, quantitative evaluation of the time-averaged fringe pattern is desired. A quantitative evaluation procedure based on the phase-shifting technique used in two beam interferometry has also been adopted for this application with some modification. The existing procedure requires a large number of frames to be recorded for implementation. We propose a procedure that will reduce the number of frames required for the analysis. The TV holographic system used and the experimental results obtained with it on an edge-clamped, sinusoidally excited square aluminium plate sample are discussed.

Kumar, Upputuri Paul; Kalyani, Yanam; Mohan, Nandigana Krishna; Kothiyal, Mahendra Prasad

2009-06-01T23:59:59.000Z

242

mapping | OpenEI  

Open Energy Info (EERE)

mapping mapping Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords GIS global irradiance latitude mapping NASA renewable energy solar solar PV SWERA TILT UNEP Data text/csv icon Latitude Tilt Radiation (kWh/m^2/day) (csv, 11.8 MiB) application/zip icon Download Shapefile (zip, 5 MiB)

243

The impact of federal revenue sharing on recreation and parks in Texas  

E-Print Network [OSTI]

of the uses of shared funds, total expenditures for recreation from 1969 to 1973, amounts of Revenue Sharing spent, and a listing of the major problems experienced in utilizing shared f'unds. A mailed questionnaire was sent to 122 Texas cities... became avai1abl! . '!!~wc- *birds of the reaper. ding cities had sren* one nsrt of thei r shared funds for' recreation. However, st pr. e ent these frnds have had lit*I. e overall impac+ the trends of expenditures for leisure services. Most...

Verinder, Sydney Henry

2012-06-07T23:59:59.000Z

244

An experimental investigation of the Hahn-Noll revenue neutral auction for emissions licenses  

SciTech Connect (OSTI)

This paper reports on three series of laboratory experiments designed to test the performance of the Hahn-Noll revenue neutral auction (RNA). An alternative institution, a no-rebate uniform price auction (UPA), is also examined as a benchmark. In these experiments, the RNA markets were little different from UPA markets in terms of either prices or market efficiencies. The two institutions did differ in terms of the distribution of the gains from exchange and of the propensity of bidders to engage in a certain type of overbidding. 25 refs., 13 figs., 3 tabs.

Franciosi, R.; Isaac, R.M.; Pingry, D.E.; Reynolds, S.S. (Univ. of Arizona, Tucson (United States))

1993-01-01T23:59:59.000Z

245

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Maps  

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

Biomass Maps Biomass Maps These maps illustrate the biomass resources available in the United States by county. Biomass feedstock data are analyzed both statistically and graphically using a geographic information system (GIS). The following feedstock categories are evaluated: crop residues, forest residues, primary and secondary mill residues, urban wood waste, and methane emissions from manure management, landfills, and domestic wastewater treatment. Biomass Resources in the United States Map of Total Biomass Resources in the United States Total Resources by County Total Biomass per Square Kilometer These maps estimate the biomass resources currently available in the United States by county. They include the following feedstock categories: crop residues (5 year average: 2003-2007) forest and primary mill residues

246

Property:SalinityAverage | Open Energy Information  

Open Energy Info (EERE)

SalinityAverage SalinityAverage Jump to: navigation, search Property Name SalinityAverage Property Type Number Description Mean average of the low and high end measurements of the salinity [ppm] of the fluid. This is a property of type Page. Subproperties This property has the following 1 subproperty: C Coso Geothermal Area Pages using the property "SalinityAverage" Showing 19 pages using this property. A Amedee Geothermal Area + 975 + B Beowawe Hot Springs Geothermal Area + 700 + Blue Mountain Geothermal Area + 4300 + Brady Hot Springs Geothermal Area + 3500 + C Chena Geothermal Area + 325 + D Desert Peak Geothermal Area + 6700 + Dixie Valley Geothermal Area + 2295 + E East Mesa Geothermal Area + 3750 + G Geysers Geothermal Area + 217 + K Kilauea East Rift Geothermal Area + 18750 +

247

Maximizing the revenues of data centers in regulation market by coordinating with electric vehicles  

Science Journals Connector (OSTI)

Abstract Frequency regulation is a major market service to reduce the undesired imbalance between power supply and demand in the power market. In order to participate in the regulation market, both the supply and demand sides need to be capable of flexibly adjusting their power generation and consumption, respectively. As the scale of Internet data centers is increasing rapidly, their significant power consumption has enabled them to become an important player in the regulation market for maximized profits and thus minimized operating expenses. On the other side, Plug-in Hybrid Electric Vehicles (PHEVs) have also recently been identified as a major participant in the regulation market, due to their large power demand for battery charging. In this paper, we propose a novel power management scheme that jointly leverages a data center and its employees \\{PHEVs\\} to (1) maximize the revenues that the data center receives from the regulation market and (2) get the \\{PHEVs\\} charged at no expense to their owners. Our scheme features a two-level hierarchical power control design. At the first level, our scheme interacts with the regulation market to provide information about the data center power consumption on an hourly basis. At the second level, the scheme decides the power budgets for the servers and UPS in the data center, as well as PHEVs, in real time, to follow the given regulation signal. In addition, we show how to leverage the thermal energy storage (TES) tanks available in many data centers to adapt the cooling power consumption for better management of the data center power demand and further increased regulation revenues. We evaluate the proposed scheme with real-world workload and regulation traces. The results show that our scheme performs a high-quality regulation service. As a result, the proposed scheme outperforms several commonly used baselines by having higher regulation revenues, and so lower operating expenses, for the data center. Finally, we analyze the cost savings of the PHEV owners, throughout the lifetime of the PHEVs, by getting their batteries charged at no expense.

Marco Brocanelli; Sen Li; Xiaorui Wang; Wei Zhang

2014-01-01T23:59:59.000Z

248

Regional averaging and scaling in relativistic cosmology  

E-Print Network [OSTI]

Averaged inhomogeneous cosmologies lie at the forefront of interest, since cosmological parameters like the rate of expansion or the mass density are to be considered as volume-averaged quantities and only these can be compared with observations. For this reason the relevant parameters are intrinsically scale-dependent and one wishes to control this dependence without restricting the cosmological model by unphysical assumptions. In the latter respect we contrast our way to approach the averaging problem in relativistic cosmology with shortcomings of averaged Newtonian models. Explicitly, we investigate the scale-dependence of Eulerian volume averages of scalar functions on Riemannian three-manifolds. We propose a complementary view of a Lagrangian smoothing of (tensorial) variables as opposed to their Eulerian averaging on spatial domains. This program is realized with the help of a global Ricci deformation flow for the metric. We explain rigorously the origin of the Ricci flow which, on heuristic grounds, has already been suggested as a possible candidate for smoothing the initial data set for cosmological spacetimes. The smoothing of geometry implies a renormalization of averaged spatial variables. We discuss the results in terms of effective cosmological parameters that would be assigned to the smoothed cosmological spacetime.

Thomas Buchert; Mauro Carfora

2002-10-11T23:59:59.000Z

249

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

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

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

250

Maps and Mapping Page 1 of 7  

E-Print Network [OSTI]

Maps and Mapping Page 1 of 7 OBJECTIVES This exercise covers map projection, the systematic rendering of the earth's round, three-dimensional surface onto a flat map. Any map projection inherently, and orientation of the earth's surface features. You will use Flex Projector to evaluate various map projections

Clarke, Keith

251

Maps and Mapping Page 1 of 11  

E-Print Network [OSTI]

Maps and Mapping Page 1 of 11 OBJECTIVES Online mapping is redefining the concept of maps in our culture. Cartographic mash-ups, mapping applications that combine content from multiple sources. The relative ease with which anyone can add location based information to a map has inspired a mash

Clarke, Keith

252

Tax credits stimulate gas drilling without decreasing federal tax revenue: A win-win situation  

SciTech Connect (OSTI)

The long-term U.S. natural gas resource base (1300 + TCF) exists. The challenge is the timely conversion of that resource base to proved, deliverable reserves. Tax credits stimulate the transfer of the natural gas resource base to deliverable proved reserves by effective price enhancement and through the discovery, application, and dissemination of technology. Tax incentives act as net price increases to gas producers as long as all companies have roughly the same tax rate and all are able to utilize the credit. Tax incentives can thus be merged with gas price for statistical purposes. This paper demonstrates how the existence of the 29 credits stimulated drilling, increased relatively clean burning gas reserves, resulted in new technological advances and possibly increased federal tax receipts with no upward pressure on gas prices. New tax-stimulus mechanisms are introduced that will help ensure that tax credits both stimulate drilling and increase tax revenue.

Cline, S.B.

1995-12-31T23:59:59.000Z

253

FORM EIA-826 MONTHLY ELECTRIC SALES AND REVENUE WITH STATE DISTRIBUTIONS REPORT  

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

MONTHLY ELECTRIC SALES AND REVENUE WITH STATE DISTRIBUTIONS REPORT OMB No. 1905-0129 Approval Expires: 12/31/2016 Burden: 1.37 hours NOTICE: This report is mandatory under the Federal Energy Administration Act of 1974 (Public Law 93-275). Failure to comply may result in criminal fines, civil penalties and other sanctions as provided by law. For further information concerning sanctions and data protections see the provision on sanctions and the provision concerning the confidentiality of information in the instructions. Title 18 USC 1001 makes it a criminal offense for any person knowingly and willingly to make to any Agency or Department of the United States any false, fictitious, or fraudulent statements as to any

254

STEO January 2013 - average gasoline prices  

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

gasoline prices are expected to decline over the next two years. The average pump price for regular unleaded gasoline was 3.63 a gallon during 2012. That is expected to fall...

255

average air temperature | OpenEI  

Open Energy Info (EERE)

average air temperature average air temperature Dataset Summary Description (Abstract): Air Temperature at 10 m Above The Surface Of The Earth (deg C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Air Temperature at 10 m Above The Surface Of The Earth (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords average air temperature

256

Site Map  

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

Home » Site Map Home » Site Map Site Map Home About Overview NERSC Mission Contact us Staff Center Leadership Sudip Dosanjh Select Publications Jeff Broughton Katie Antypas John Shalf Francesca Verdier Center Administration James Craw Norma Early Jeff Grounds Betsy MacGowan Zaida McCunney Lynn Rippe Suzanne Stevenson David Tooker Center Communications Jon Bashor Linda Vu Margie Wylie Kathy Kincade Advanced Technologies Group Nicholas Wright Brian Austin Research Projects Matthew Cordery Christopher Daley Analytics Group Peter Nugent David Camp Hank Childs Harinarayan Krishnan Burlen Loring Joerg Meyer Prabhat Oliver Ruebel Daniela Ushizima Gunther Weber Yushu Yao Computational Systems Group Jay Srinivasan James Botts Scott Burrow Tina Butler Nick Cardo Tina Declerck Ilya Malinov David Paul Larry Pezzaglia Iwona Sakrejda

257

Who is winning the cell-phone wars? Answer: it depends how you count. Units, market share, revenue, profit.  

E-Print Network [OSTI]

Who is winning the cell-phone wars? Answer: it depends how you count. Units, market share, revenue launched. According to another analyst, Cannaccord, Apple now has four percent of the cell-phone market quarter, not that far off a million a day. iPhone sales increased by 4 million but its market share

South Bohemia, University of

258

Exponential Speedup with a Single Bit of Quantum Information: Measuring the Average Fidelity Decay  

Science Journals Connector (OSTI)

We present an efficient quantum algorithm to measure the average fidelity decay of a quantum map under perturbation using a single bit of quantum information. Our algorithm scales only as the complexity of the map under investigation. Thus for those maps admitting an efficient gate decomposition, it provides an exponential speedup over known classical procedures. Fidelity decay is important in the study of complex dynamical systems, where it is conjectured to be a signature of eigenvector statistics. Our result also illustrates the role of chaos in the process of decoherence.

David Poulin; Robin Blume-Kohout; Raymond Laflamme; Harold Ollivier

2004-04-30T23:59:59.000Z

259

Link maps and map meetings: Scaffolding student learning  

Science Journals Connector (OSTI)

With student numbers decreasing and traditional teaching methods having been found inefficient, it is widely accepted that alternative teaching methods need to be explored in tertiary physics education. In 2006 a different teaching environment was offered to 244 first year students with little or no prior formal instruction in physics. Students were invited to attend additional enrichment classes 1 h a week called map meetings. The focus of these classes was a different type of visual presentation of physics material called link maps. Link maps explicitly show the key concepts covered in lectures and how these interrelate to help novices establish their physics schemata. In each map meeting the link map for the different topic was interactively discussed by the researcher before the students worked on problems in groups using the link map. The class ended with the researcher going through one problem, talking aloud about how to logically attack it. The results were promising. Each week about 20% of the class voluntarily attended map meetings whereas 22% reported that they did not attend due to timetable clashes. Two questionnaires revealed that students thought the classes were helpful for gaining an overview of physics and for developing their problem solving abilities. In the final examination the 32 students who had attended at least eight out of ten map meetings achieved, on average, 9 points out of 90 better in the examination (p=0.004) than a comparison group (N=40) with similar academic background which had not attended map meetings. The results of this study suggest that map meetings are a valuable learning environment for physics novices. Further investigations are currently being undertaken.

Christine Lindstrm and Manjula D. Sharma

2009-01-22T23:59:59.000Z

260

Manhattan Project: Maps  

Office of Scientific and Technical Information (OSTI)

MAPS MAPS Resources Scroll down to view thumbnails of each map. Leslie Groves looks at a map of Japan. Manhattan Project: General Manhattan Project Facilities Places map "Signature Facilities of the MED" map Hanford Hanford map Hanford (black and white) map Hanford Site Diagram Hanford Site Location Map Hanford: Native Peoples map Hanford: Town map Los Alamos Map of Los Alamos, New Mexico Los Alamos: "Tech Area" map Oak Ridge Map of Clinton Engineer Works, Oak Ridge Clinton Engineer Works, Oak Ridge (black and white) map Oak Ridge: Projected Site for Atomic Production Plants, 1942, map Other Flight paths for Hiroshima and Nagasaki missions map Map of the Trinity Test Site Post-War U.S. Nuclear Tests map Manhattan Project Facilities Manhattan Project Facilities

Note: This page contains sample records for the topic "average revenue map" 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

Polarized electron beams at milliampere average current  

SciTech Connect (OSTI)

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today's CEBAF polarized source operating at ~ 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, Matthew [JLAB

2013-11-01T23:59:59.000Z

262

Laser Fusion Energy The High Average Power  

E-Print Network [OSTI]

Laser Fusion Energy and The High Average Power Program John Sethian Naval Research Laboratory Dec for Inertial Fusion Energy with lasers, direct drive targets and solid wall chambers Lasers DPPSL (LLNL) Kr posters Snead Payne #12;Laser(s) Goals 1. Develop technologies that can meet the fusion energy

263

Ordered Weighted Average Based Fuzzy Rough Sets  

E-Print Network [OSTI]

Ordered Weighted Average Based Fuzzy Rough Sets Chris Cornelis 1 , Nele Verbiest1 , and Richard rough set model, which is based on a similar rationale, our proposal has the ad- vantage a feature selection application confirm the potential of the OWA-based model. Keywords: fuzzy rough sets

Gent, Universiteit

264

HIGH AVERAGE POWER OPTICAL FEL AMPLIFIERS.  

SciTech Connect (OSTI)

Historically, the first demonstration of the optical FEL was in an amplifier configuration at Stanford University [l]. There were other notable instances of amplifying a seed laser, such as the LLNL PALADIN amplifier [2] and the BNL ATF High-Gain Harmonic Generation FEL [3]. However, for the most part FELs are operated as oscillators or self amplified spontaneous emission devices. Yet, in wavelength regimes where a conventional laser seed can be used, the FEL can be used as an amplifier. One promising application is for very high average power generation, for instance FEL's with average power of 100 kW or more. The high electron beam power, high brightness and high efficiency that can be achieved with photoinjectors and superconducting Energy Recovery Linacs (ERL) combine well with the high-gain FEL amplifier to produce unprecedented average power FELs. This combination has a number of advantages. In particular, we show that for a given FEL power, an FEL amplifier can introduce lower energy spread in the beam as compared to a traditional oscillator. This properly gives the ERL based FEL amplifier a great wall-plug to optical power efficiency advantage. The optics for an amplifier is simple and compact. In addition to the general features of the high average power FEL amplifier, we will look at a 100 kW class FEL amplifier is being designed to operate on the 0.5 ampere Energy Recovery Linac which is under construction at Brookhaven National Laboratory's Collider-Accelerator Department.

BEN-ZVI, ILAN, DAYRAN, D.; LITVINENKO, V.

2005-08-21T23:59:59.000Z

265

ISIT2000, Sorrento, Italy, June 25{30, 2000 Constellation Mappings For Two-Dimensional Non-Uniform Signaling  

E-Print Network [OSTI]

that constel- lation mappings which minimize the average symbol energy and, given this, maximize the decoding-QAM constellation with a mapping M1 . For p > 0:5, the mapping M1 minimizes the average symbol energyISIT2000, Sorrento, Italy, June 25{30, 2000 Constellation Mappings For Two-Dimensional Non

Linder, Tamás

266

Site Map | DOEpatents  

Office of Scientific and Technical Information (OSTI)

Site Map Site Map Home Basic Search Advanced Search DOEpatents FAQ About DOEpatents Site Map Contact Us Website PoliciesImportant Links...

267

Sources Of Average Individual Radiation Exposure  

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

Of Average Individual Radiation Exposure Of Average Individual Radiation Exposure Natural background Medical Consumer products Industrial, security, educational and research Occupational 0.311 rem 0.300 rem 0.013 rem 0.0003 rem 0.0005 rem Savannah River Nuclear Solutions, LLC, provides radiological protection services and oversight at the Savannah River Site (SRS). These services include radiation dose measurements for persons who enter areas where they may be exposed to radiation or radioactive material. The results are periodically reported to monitored individuals. The results listed are based on a radiation dose system developed by the International Commission on Radiation Protection. The system uses the terms "effective dose," "equivalent dose" and units of rem. You may be more familiar with the term "millirem" (mrem), which is 1/1000 of a rem.

268

Fat turnover in obese slower than average  

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

9-04 9-04 For immediate release: 09/23/2011 | NR-11-09-04 Fat turnover in obese slower than average Anne M Stark, LLNL, (925) 422-9799, stark8@llnl.gov Printer-friendly This scanning electron micrograph image shows part of a lobule of adipose tissue (body fat). Adipose tissue is specialized connective tissue that functions as the major storage site for fat. Photo courtesy of David Gregory & Debbie Marshall/Wellcome Images LIVERMORE, Calif. -- It may be more difficult for obese people to lose fat because the "turnover" rate is much slower for those overweight than average weight individuals. New research in the Sept. 25 online edition of the journal Nature shows that the turnover (storage and loss rate) of fat in the human body is about 1 1/2 years compared to fat cells, which turnover about every 10 years,

269

Natural Gas Prices: Well Above Recent Averages  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The recent surge in spot prices at the Henry Hub are well above a typical range for 1998-1999 (in this context, defined as the average, +/- 2 standard deviations). Past price surges have been of short duration. The possibility of a downward price adjustment before the end of next winter is a source of considerable risk for storage operators who acquire gas at recent elevated prices. Storage levels in the Lower 48 States were 7.5 percent below the 5-year average (1995-1999) by mid-August (August 11), although the differential is only 6.4 percent in the East, which depends most heavily on storage to meet peak demand. Low storage levels are attributable, at least in part, to poor price incentives: high current prices combined with only small price

270

Indirect CP violation results and HFAG averages  

E-Print Network [OSTI]

The current status of the search for indirect CP violation in the neutral D meson system at the B-factories and at LHCb is reported. The indirect CP asymmetry search is performed by the measurement of the proper-time asymmetry ($A_{\\Gamma}$) in decays of $D^0-\\bar{D^0}$ mesons to CP eigenstates, $K^-K^+$ and $\\pi^- \\pi^+$, and by $y_{CP}$, the ratio between the effective lifetime measured in decay to a CP eigenstate and that to the mixed eigenstate $K \\pi$. All results are consistent with the no CP violation hypothesis. The latest world averages for mixing and CP asymmetry in the charm sector evaluated by the Heavy Flavour Averaging Group are presented. The no mixing hypothesis is excluded at more than 12 standard deviations. The search for direct and indirect CP violation in the charm sector is consistent with no CP violation at 2.0% confident level.

Silvia Borghi

2013-12-17T23:59:59.000Z

271

Polarized electron beams at milliampere average current  

SciTech Connect (OSTI)

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of todays CEBAF polarized source operating at ? 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, M. [Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606 (United States)

2013-11-07T23:59:59.000Z

272

Fermilab Map Instructions  

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

This Fermilab interactive map is actually a series of maps. The first map in the series--the map that you just clicked on to get this window--is an overview of the entire Fermilab...

273

Empirical study on the Korean treasury auction focusing on the revenue comparison in multiple versus single price auction  

E-Print Network [OSTI]

EMPIRICAL STUDY ON THE KOREAN TREASURY AUCTION FOCUSING ON THE REVENUE COMPARISON IN MULTIPLE VERSUS SINGLE PRICE AUCTION A Dissertation by BOO-SUNG KANG Submitted to the Office of Graduate Studies of Texas A&M... IN MULTIPLE VERSUS SINGLE PRICE AUCTION A Dissertation by BOO-SUNG KANG Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved as to style and content by...

Kang, Boo-Sung

2006-04-12T23:59:59.000Z

274

Maps and Mapping Lab 6: Terrain Representation  

E-Print Network [OSTI]

Maps and Mapping Lab 6: Terrain Representation OBJECTIVES Representing the earth's relief on a two. In this exercise, we will examine some ways that terrain can be represented on a map and in digital form. You exaggeration using Google Earth. MATERIALS USGS Quadrangle map, Ruler, Pencil, Calculator, Google Earth (4

Clarke, Keith

275

Effects of Residual Feed Intake Classification on Feed Efficiency, Feeding Behavior, Carcass Traits, and Net Revenue in Angus-Based Composite Steers  

E-Print Network [OSTI]

of $118 to profits of $170 per head (Langemeier et al., 1992). These drastic net revenue differentials are the result of substantial variability in input costs, feeder and fed cattle prices and cattle performance. 4 Past investigations into factors...

Walter, Joel

2012-02-14T23:59:59.000Z

276

The challenges of improving revenue-recognition standard for multiple-element firms:evidence from the software industry (SOP 97-2)  

E-Print Network [OSTI]

I investigated whether implementing SOP 97-2, the revenue-recognition standard for the software industry, reduces earnings informativeness. This standard is particularly important for two reasons: First, its provisions coincide with provisions...

Srivastava, Anup

2008-10-10T23:59:59.000Z

277

Average resonance capture study of Te124  

Science Journals Connector (OSTI)

An average resonance capture study of Te124 was carried out by bombarding samples of Te123 with 2- and 24-keV neutron beams. The complete set of 0+, 1+, 2+ states disclosed by the experiment is consistent with the data of Robinson, Hamilton, and Snelling, demonstrating that there are no undetected states of these spins (especially 0+ states) below about 2500 keV. In particular, proposed 0+ levels at 1156 and 1290 keV are ruled out. This impacts various attempted interpretations in terms of intruder states, U(5), and O(6) symmetries.

R. F. Casten; J.-Y. Zhang; B.-C. Liao

1991-07-01T23:59:59.000Z

278

Average Price of Natural Gas Production  

Gasoline and Diesel Fuel Update (EIA)

. . Quantity and Average Price of Natural Gas Production in the United States, 1930-1996 (Volumes in Million Cubic Feet, Prices in Dollars per Thousand Cubic Feet) Table Year Gross Withdrawals Used for Repressuring Nonhydro- carbon Gases Removed Vented and Flared Marketed Production Extraction Loss Dry Production Average Wellhead Price of Marketed Production 1930 ....................... NA NA NA NA 1,978,911 75,140 1,903,771 0.08 1931 ....................... NA NA NA NA 1,721,902 62,288 1,659,614 0.07 1932 ....................... NA NA NA NA 1,593,798 51,816 1,541,982 0.06 1933 ....................... NA NA NA NA 1,596,673 48,280 1,548,393 0.06 1934 ....................... NA NA NA NA 1,815,796 52,190 1,763,606 0.06 1935 ....................... NA NA NA NA 1,968,963 55,488 1,913,475 0.06 1936 ....................... 2,691,512 73,507 NA 392,528 2,225,477

279

Average values and dispersion (in parentheses)  

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

Average values and dispersion (in parentheses) Average values and dispersion (in parentheses) Base-pair Parameters --------------------------------------------------------------------------------------- Shear Stretch Stagger Buckle Propeller Opening 3DNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.77) -11.79(4.14) 0.57(2.80) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.74) -11.35(5.26) 0.63(3.05) CEHS A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.75) -11.82(4.14) 0.56(2.78) B 0.00(0.21) -0.14(0.12) 0.09(0.19) 0.53(6.73) -11.37(5.27) 0.62(3.03) CompDNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.12(7.70) -11.81(4.14) 0.56(2.79) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.70) -11.37(5.26) 0.62(3.03) Curves A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.85) -11.76(4.12) 0.57(2.80)

280

E-Print Network 3.0 - average plots map Sample Search Results  

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

simpleaffy Miller (2005) is also used. Several... new plots are generated and a printable pdf file is created. The functions in the package will work... of the sample names and an...

Note: This page contains sample records for the topic "average revenue map" 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

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps  

E-Print Network [OSTI]

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps You need a new data frame o the properties/look of the extent rectangle Tips Index Map o Should be a simplified version of the map o Should cover at least 5X the area of the main map o Should have its own scale/coordinates/title o Main coverage

Brownstone, Rob

282

Average deployments versus missile and defender parameters  

SciTech Connect (OSTI)

This report evaluates the average number of reentry vehicles (RVs) that could be deployed successfully as a function of missile burn time, RV deployment times, and the number of space-based interceptors (SBIs) in defensive constellations. Leakage estimates of boost-phase kinetic-energy defenses as functions of launch parameters and defensive constellation size agree with integral predictions of near-exact calculations for constellation sizing. The calculations discussed here test more detailed aspects of the interaction. They indicate that SBIs can efficiently remove about 50% of the RVs from a heavy missile attack. The next 30% can removed with two-fold less effectiveness. The next 10% could double constellation sizes. 5 refs., 7 figs.

Canavan, G.H.

1991-03-01T23:59:59.000Z

283

Evidential cognitive maps  

Science Journals Connector (OSTI)

In order to handle uncertain information, this paper proposes evidential cognitive maps (ECMs), similar to the fuzzy cognitive maps (FCMs). ECMs are uncertain-graph structures for representing causal reasoning through the combination of cognitive maps ... Keywords: Data fusion, Decision making, Evidence theory, Evidential cognitive maps, Fuzzy cognitive maps

Bingyi Kang; Yong Deng; Rehan Sadiq; Sankaran Mahadevan

2012-11-01T23:59:59.000Z

284

Fuel Economy Standards, New Vehicle Sales, and Average Fuel Efficiency  

Science Journals Connector (OSTI)

The average fuel efficiency of new automobiles sold in the ... trend stagnated in 1981, however, and average fuel efficiency has actually fallen since 1987. Corporate Average Fuel Economy (CAFE) standardsthe maj...

Steven G. Thorpe

1997-05-01T23:59:59.000Z

285

Fact #744: September 10, 2012 Average New Light Vehicle Price...  

Energy Savers [EERE]

4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price Fact 744: September 10, 2012 Average New Light Vehicle Price Grows Faster...

286

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL  

E-Print Network [OSTI]

be used to calculate weight-averaged U-factors or averaged SHGC values for prescriptive envelope of window (the SHGC values of skylights cannot be averaged per §151(f)4A). a. "Area" can be replaced

287

Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51%...  

Energy Savers [EERE]

average is the production-weighted harmonic mean. 2014 data are preliminary. Fact 849 Dataset Supporting Information Average Fuel Economy of New Midsize Cars - Hybrid vs....

288

Maps and Plans  

E-Print Network [OSTI]

shrouded door to box seats. Rose / Maps and Plans Re-Placing Places 20.1 Rose / Maps and Plans Re-Placing PlacesMaps and Plans Thomas Rose Architectural plans create the

Rose, Thomas

2008-01-01T23:59:59.000Z

289

Holomorphic segre preserving maps  

E-Print Network [OSTI]

for holomorphic Segre maps. Math. Ann. 337, 457-478, (2007).There are no holomorphic maps satisfying criteria (1.37). (j ? C\\{0}, the family of maps given by H = c 1 z 1 , . . . ,

Angle, Robert Blair

2008-01-01T23:59:59.000Z

290

Site Map | ScienceCinema  

Office of Scientific and Technical Information (OSTI)

Site Map Site Map Home Audio Search Fielded Search About Help Site Map Contact Us Website PoliciesImportant Links...

291

Historical Network Maps  

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

Publications and Presentations Galleries ESnet Awards and Honors ESnet Live Blog Home Engineering Services The Network Network Maps Historical Network Maps Engineering...

292

Deep Maps: A Brief for Digital Palimpsest Mapping Projects (DPMPs, or Deep Maps)  

E-Print Network [OSTI]

DEEP MAPS: A Brief for Digital Palimpsest DPMPs, or Deep Maps) SHELLEY FISHER FISHKIN paintings, drawings, maps, photos, books,

Fishkin, Shelley Fisher

2011-01-01T23:59:59.000Z

293

Allinea MAP at NERSC  

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

MAP MAP MAP MAP from Allinea Software is a parallel profiler with a simple graphical user interface. It is installed on Hopper, Edison and Carver. Note that the performance of the X Windows-based MAP Graphical User Interface can be greatly improved if used in conjunction with the free NX software. Introduction Allinea MAP is a parallel profiler with simple Graphical User Interface. MAP can be run with up to 512 processors, to profile serial, OpenMP and MPI codes. The Allinea MAP web page and 'Allinea DDT and MAP User Guide' (available as $ALLINEA_TOOLS_DOCDIR/userguide.pdf after loading an allineatools module) are good resources for learning more about some of the advanced MAP features. Loading the Allinea Tools Module To use MAP, first load the 'allineatools' module to set the correct

294

Proposed Revenues, Financial Strategy, and Program Costs for FY 1992 and 1993 : Technical Appendix, BPA Programs in Perspective.  

SciTech Connect (OSTI)

Programs in Perspective is the Bonneville Power Administration's public involvement process (PIP) for engaging customers and other stakeholders in a regional dialog to set strategic direction and broad program plans for BPA effort. This planning leads into a biennial rate setting cycle and offers a more accessible and flexible opportunity for dialog on broad issues than is possible under the strict administrative procedures of ratemaking. The self-financed character of BPA has made this public process a necessary and valuable one to assure that those who pay BPA's rates have a clear understanding and a strong voice in the plans for use of the resulting revenues. During 1989, the previous PIP engaged the region in discussion of major strategic, issues focussing on major areas. In 1990, BPA seeks discussion of the directions and plans specifically for fiscal years 1992 and 1993. The steps taken for those years will lay the foundation for the years beyond. Thus, we have subtitled this year's process, Staying fit for the long run.'' We have consulted extensively with customers and others in the region in developing these plans. In dozens of program--specific meetings, BPA staff have talked and listened to what others think our plans ought to be. PIP now gives us a chance to review their sum total, along with projections for revenues and our overall financial position. 8 tabs., 8 figs.

United States. Bonneville Power Administration.

1990-07-01T23:59:59.000Z

295

Strategic Industrial Energy Efficiency: Reduce Expenses, Build Revenues, and Control Risk  

E-Print Network [OSTI]

the bother and expense of purchasing fuel in spot markets, which may happen when plants put on extra, unscheduled shifts to compensate for downtime. The net impact of energy efficiency is a reduction in the average price of fuel consumed. Securing fuel... for additional market share. 3. Attain a price premium Plant emissions decline with fuel consumption. A clean process can boast ?green? products. Energy efficiency is usually the quickest and most cost-effective way to contribute to ?green...

Russell, C.

2004-01-01T23:59:59.000Z

296

Technology Mapping Targeting Routing Congestion under Delay Constraints  

E-Print Network [OSTI]

1 Technology Mapping Targeting Routing Congestion under Delay Constraints Rupesh S. Shelar, Member a serious concern in today's VLSI designs. To address the same, we propose a technology mapping algorithm in a 100 nm technology show that the algorithm can improve track overflows by 59%, on an average

Sapatnekar, Sachin

297

Emergency Exit Maps | Stanford Synchrotron Radiation Lightsource  

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

Emergency Exit Maps SSRL Exit Maps Exit map 219 exit map trailer 274 exit map 450 trailers exit map trailer 271 exit map trailer 270 exit map trailer 294 exit maps 118 & 117 exit...

298

Career Map: Instrumentation Coordinator  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Instrumentation Coordinator positions.

299

Career Map: Engineering Manager  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Engineering Manager positions.

300

Career Map: Environmental Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Environmental Scientist positions.

Note: This page contains sample records for the topic "average revenue map" 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

Career Map: Construction Worker  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Construction Worker positions.

302

Career Map: Industrial Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Industrial Engineer positions.

303

Career Map: Mechanical Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Mechanical Engineer positions.

304

Career Map: Aerospace Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Aerospace Engineer positions.

305

Career Map: Resource Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Resource Scientist positions.

306

Career Map: Electrical Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Electrical Engineer positions.

307

Career Map: Research Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Research Scientist positions.

308

Career Map: Transportation Worker  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Transportation Worker positions.

309

Career Map: Meteorological Technician  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Meteorological Technician positions.

310

Differential maps, difference maps, interpolated maps, and long term prediction  

SciTech Connect (OSTI)

Mapping techniques may be thought to be attractive for the long term prediction of motion in accelerators, especially because a simple map can approximately represent an arbitrarily complicated lattice. The intention of this paper is to develop prejudices as to the validity of such methods by applying them to a simple, exactly solveable, example. It is shown that a numerical interpolation map, such as can be generated in the accelerator tracking program TEAPOT, predicts the evolution more accurately than an analytically derived differential map of the same order. Even so, in the presence of appreciable'' nonlinearity, it is shown to be impractical to achieve accurate'' prediction beyond some hundreds of cycles of oscillation. This suggests that the value of nonlinear maps is restricted to the parameterization of only the leading'' deviation from linearity. 41 refs., 6 figs.

Talman, R.

1988-06-01T23:59:59.000Z

311

Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average  

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

8: July 12, 2004 8: July 12, 2004 Expected Average Annual Miles to someone by E-mail Share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Facebook Tweet about Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Twitter Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Google Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Delicious Rank Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Digg Find More places to share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on AddThis.com... Fact #328: July 12, 2004 Expected Average Annual Miles Twenty-five percent of the respondents to a nationwide survey said that

312

Fact #614: March 15, 2010 Average Age of Household Vehicles  

Broader source: Energy.gov [DOE]

The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

313

Fact #615: March 22, 2010 Average Vehicle Trip Length  

Broader source: Energy.gov [DOE]

According to the latest National Household Travel Survey, the average trip length grew to over 10 miles in 2009, just slightly over the 9.9 mile average in 2001. Trips to work in 2009 increased to...

314

Fact #835: August 25, Average Historical Annual Gasoline Pump...  

Energy Savers [EERE]

5: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 Fact 835: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 When adjusted for inflation,...

315

Spherical averages and applications to spherical splines and interpolation  

Science Journals Connector (OSTI)

This article introduces a method for computing weighted averages on spheres based on least squares minimization that respects spherical distance. We prove existence and uniqueness properties of the weighted averages, and give fast iterative algorithms ... Keywords: Bzier curve, B-spline, barycentric coordinates, least squares minimization, quaternion interpolation, quaternions, spherical average, spherical interpolation, spherical mean, spline curve, spline interpolation

Samuel R. Buss; Jay P. Fillmore

2001-04-01T23:59:59.000Z

316

Thematic Maps 9 Thematic Maps: Visualizing  

E-Print Network [OSTI]

Thematic Maps 9 Thematic Maps: Visualizing Spatial Variability and Shared Benefits SSSSSpatial Agreements Figure 5. GIS and visualization: from bottom to top -- topography, social water stress index and Mexico..... By superimposing several different data sets within a Geographic Information System (GIS

Wolf, Aaron

317

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping...  

Open Energy Info (EERE)

Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Abstract Research into the practicality of digital mapping by Placer Dome Exploration...

318

Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of fraud experts conducted by the Association of Certified  

E-Print Network [OSTI]

Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of fraud experts conducted by the Association of Certified Fraud Examiners (ACFE, the University's total expense for scholarships and fellowships was $110,067,000. Fraud cost includes reported

Sanders, Seth

319

1. Was your auditor for the Revenue Bond Series 2003A and 2005A financial audit year ended 6/30/12 invited to bid?  

E-Print Network [OSTI]

IFB13403 1. Was your auditor for the Revenue Bond Series 2003A and 2005A financial audit year ended 6/30/12 invited to bid? Yes 2. How long has Gilbert Associates, Inc been your auditor? Since 2003,365.24. 6. How many auditors were on the engagement; how many hours/weeks were spent in the field last year

320

COBE Sky Map  

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

COBE sky map COBE sky map This map of the ancient sky shows the minute variations in the microwave background discovered by the team led by Lawrence Berkeley Laboratory astrophysicist George Smoot. As seen in the map, vast regions of space have minute variations in temperature. Over billions of years, gravity magnified these small differences into the clusters of galaxies we observe today. Displayed horizontally across the middle of the map is the Milky Way galaxy. The image, a 360-degree map of the whole sky, shows the relic radiation from the Big Bang. The map was derived from one year of data taken by the Differential Microwave Radiometers onboard NASA's Cosmic Background Explorer satellite. Using Galactic coordinates, the map shows the plane of the Milky Way galaxy horizontally and the center of our galaxy at its

Note: This page contains sample records for the topic "average revenue map" 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

Memory-mapped transactions  

E-Print Network [OSTI]

Memory-mapped transactions combine the advantages of both memory mapping and transactions to provide a programming interface for concurrently accessing data on disk without explicit I/O or locking operations. This interface ...

Sukha, Jim

2005-01-01T23:59:59.000Z

322

Integrable quantum mappings  

Science Journals Connector (OSTI)

A quantum R-matrix structure is presented for a family of exactly integrable multidimensional rational mappings related to lattice versions of the Kortewegde Vries equation. It is shown that these mappings possess a commuting family of invariants.

F. W. Nijhoff; H. W. Capel; V. G. Papageorgiou

1992-08-15T23:59:59.000Z

323

WIPP Projects Interative Map  

Broader source: Energy.gov [DOE]

View WIPP Projects in a larger map. To report corrections, please emailWeatherizationInnovation@ee.doe.gov.

324

National Hydropower Map  

Broader source: Energy.gov [DOE]

High-resolution map produced by Oak Ridge National Laboratory showing hydropower resources throughout the United States.

325

SERC Grants Interactive Map  

Broader source: Energy.gov [DOE]

View SERC Grants in a larger map. To report corrections, please email SustainableEnergyWAP@ee.doe.gov.

326

MAPS MANUAL 2010 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2010 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

327

MAPS MANUAL 2014 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2014 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

328

MAPS MANUAL 2008 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2008 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Jim Saracco

DeSante, David F.

329

MAPS MANUAL 2013 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2013 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

330

MAPS MANUAL 2011 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2011 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

331

MAPS MANUAL 2012 PROTOCOL  

E-Print Network [OSTI]

MAPS MANUAL 2012 PROTOCOL INSTRUCTIONS FOR THE ESTABLISHMENT AND OPERATION OF CONSTANT-EFFORT BIRD-BANDING STATIONS AS PART OF THE MONITORING AVIAN PRODUCTIVITY AND SURVIVORSHIP (MAPS) PROGRAM David F. De;ACKNOWLEDGEMENTS We thank MAPS biologists Eric Feuss, Denise Jones, Sara Martin, Eric (Zed) Ruhlen, Hillary Smith

DeSante, David F.

332

Real-Time Traffic Maps  

E-Print Network [OSTI]

d. (2007). Barcelona Traffic Map. Barcelona. 2007. Berendt,Spatial Thinking with Geographic Maps: An Empirical Study.Data on Choropleth Maps in Series." Annals of the

Goldsberry, Kirk Patrick

2007-01-01T23:59:59.000Z

333

Site Map - EERE Commercialization Office  

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

Site Map Site Map Printable Version Share this resource Quick Links Energy Innovation Portal Site Map Commercialization Home Page About Success Stories Legacy Initiatives Small...

334

Site Map | DOE Data Explorer  

Office of Scientific and Technical Information (OSTI)

Site Map Site Map Home Basic Search Advanced Search DDE FAQ About DDE Site Map Data ID Service Contact Us Website PoliciesImportant Links...

335

Maps & Web Mapping: An Introduction to Cartography Edition (2015)  

E-Print Network [OSTI]

Maps & Web Mapping: An Introduction to Cartography 1st Edition (2015) By Keith Clarke Links Showcase Site http://www.pearsonhighered.com/clarke-1e-info/index.html Catalog Link Maps & Web Mapping

Clarke, Keith

336

Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material  

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

0: March 8, 2004 0: March 8, 2004 Average Material Consumption for a Domestic Automobile to someone by E-mail Share Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Facebook Tweet about Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Twitter Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Google Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Delicious Rank Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Digg Find More places to share Vehicle Technologies Office: Fact #310:

337

Average Interest Rate for Treasury Securities | Data.gov  

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

Average Interest Rate for Treasury Securities Average Interest Rate for Treasury Securities Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov » Communities » Consumer » Data Average Interest Rate for Treasury Securities Dataset Summary Description This dataset shows the average interest rates for U.S Treasury securities for the most recent month compared with the same month of the previous year. The data is broken down by the various marketable and non-marketable securities. The summary page for the data provides links for monthly reports from 2001 through the current year. Average Interest Rates are calculated on the total unmatured interest-bearing debt. The average interest rates for total marketable, total non-marketable and total interest-bearing debt do not include the U.S. Treasury Inflation-Protected Securities.

338

Solar: monthly and annual average global horizontal (GHI) GIS...  

Open Energy Info (EERE)

Facebook icon Twitter icon Home Organizations DLR - Deutsches Zentrum fr ... Solar: monthly and annual ... Dataset Activity Stream Solar: monthly and annual average...

339

,"Selected National Average Natural Gas Prices"  

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

Selected National Average Natural Gas Prices" Selected National Average Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Average Natural Gas Prices",11,"Monthly","11/2013","1/15/1973" ,"Data 2","Annual Average Natural Gas Prices",11,"Annual",2012,"6/30/1922" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm03vmall.xls" ,"Available from Web Page:","http://www.eia.gov/oil_gas/natural_gas/data_publications/natural_gas_monthly/ngm.html"

340

Aeromagnetic map | Open Energy Information  

Open Energy Info (EERE)

map Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: Aeromagnetic mapInfo GraphicMapChart Cartographer Zietz and Kirby Published U.S. Geological Survey,...

Note: This page contains sample records for the topic "average revenue map" 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

Maps of Selected State Subdivisions  

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

Crude Oil, Natural Gas, and Natural Gas Liquids Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves Summary Maps of Selected State Subdivisions Map 1: Alaska Map 2: California Map 3: Louisiana Map 4: New Mexico Map 5: Texas Map 6: Western Planning Area, Gulf of Mexico Map 7: Central Planning Area, Gulf of Mexico Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map 2: California CA 50 - Coastal Region Onshore CA 90 - Los Angeles Basin Onshore CA 10 - San Joaquin Basin Onshore

342

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps Development  

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

Solar Maps Development - How the Maps Were Made Solar Maps Development - How the Maps Were Made 10km The State University of New York/Albany satellite radiation model was developed by Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at

343

Higher-order averaging, formal series and numerical integration II  

E-Print Network [OSTI]

systems of ordinary differential equations with d 1 non- resonant constant frequencies. Formal series frequency and four resonant fast frequencies. Keywords and sentences: Averaging, high-order averaging, quasi Schumann, 35170 Bruz, France. Email: Philippe.Chartier@inria.fr Konputazio Zientziak eta A. A. Saila

Murua, Ander

344

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

East Asia from NREL East Asia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

345

Do Diurnal Aerosol Changes Affect Daily Average Radiative Forcing?  

SciTech Connect (OSTI)

Strong diurnal variability of aerosol has been observed frequently for many urban/industrial regions. How this variability may alter the direct aerosol radiative forcing (DARF), however, is largely unknown. To quantify changes in the time-averaged DARF, we perform an assessment of 29 days of high temporal resolution ground-based data collected during the Two-Column Aerosol Project (TCAP) on Cape Cod, which is downwind of metropolitan areas. We demonstrate that strong diurnal changes of aerosol loading (about 20% on average) have a negligible impact on the 24-h average DARF, when daily averaged optical properties are used to find this quantity. However, when there is a sparse temporal sampling of aerosol properties, which may preclude the calculation of daily averaged optical properties, large errors (up to 100%) in the computed DARF may occur. We describe a simple way of reducing these errors, which suggests the minimal temporal sampling needed to accurately find the forcing.

Kassianov, Evgueni I.; Barnard, James C.; Pekour, Mikhail S.; Berg, Larry K.; Michalsky, Joseph J.; Lantz, K.; Hodges, G. B.

2013-06-17T23:59:59.000Z

346

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Africa from NREL Africa from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

347

Averaged dynamics of ultra-relativisitc charged particles beams  

E-Print Network [OSTI]

In this thesis, we consider the suitability of using the charged cold fluid model in the description of ultra-relativistic beams. The method that we have used is the following. Firstly, the necessary notions of kinetic theory and differential geometry of second order differential equations are explained. Then an averaging procedure is applied to a connection associated with the Lorentz force equation. The result of this averaging is an affine connection on the space-time manifold. The corresponding geodesic equation defines the averaged Lorentz force equation. We prove that for ultra-relativistic beams described by narrow distribution functions, the solutions of both equations are similar. This fact justifies the replacement of the Lorentz force equation by the simpler {\\it averaged Lorentz force equation}. After this, for each of these models we associate the corresponding kinetic model, which are based on the Vlasov equation and {\\it averaged Vlasov equation} respectively. The averaged Vlasov equation is simpler than the original Vlasov equation. This fact allows us to prove that the differential operation defining the averaged charged cold fluid equation is controlled by the {\\it diameter of the distribution function}, by powers of the {\\it energy of the beam} and by the time of evolution $t$. We show that the Vlasov equation and the averaged Vlasov equation have similar solutions, when the initial conditions are the same. Finally, as an application of the {\\it averaged Lorentz force equation} we re-derive the beam dynamics formalism used in accelerator physics from the Jacobi equation of the averaged Lorentz force equation.

Ricardo Gallego Torrom

2012-06-19T23:59:59.000Z

348

Generalized qudit Choi maps  

E-Print Network [OSTI]

Following the linear programming prescription of Ref. \\cite{PRA72}, the $d\\otimes d$ Bell diagonal entanglement witnesses are provided. By using Jamiolkowski isomorphism, it is shown that the corresponding positive maps are the generalized qudit Choi maps. Also by manipulating particular $d\\otimes d$ Bell diagonal separable states and constructing corresponding bound entangled states, it is shown that thus obtained $d\\otimes d$ BDEW's (consequently qudit Choi maps) are non-decomposable in certain range of their parameters.

M. A. Jafarizadeh; M. Rezaeen; S. Ahadpour

2006-07-24T23:59:59.000Z

349

Dot Density Maps Dot density maps, or dot maps, portray the geographic distribution of discrete phenomena  

E-Print Network [OSTI]

Dot Density Maps Dot density maps, or dot maps, portray the geographic distribution of discrete for representing geographic patterns. Dot density maps are particularly useful for understanding global distribution of the mapped phenomenon and comparing relative densities of different regions on the map. Dot

Klippel, Alexander

350

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

351

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

352

Maps of Svalbard  

Science Journals Connector (OSTI)

... NORGES SVALBARD og Ishavs-undersokelser, now known as Norsk Polarinstitutt, has begun the issue of a detailed map of Svalbard in folded sheets, ...

1948-07-03T23:59:59.000Z

353

Makeup of UK petrol retail price: a case of income and environmentalism and implication for China's taxation revenue and control of PM2.5 pollutants  

Science Journals Connector (OSTI)

UK petrol retail prices have been changing owing to different reasons, including changes in any of the four major components - fuel duty, the product (in connection with crude oil prices), VAT and the retailers' or delivery profit and the weaker pound sterling. However, this does not change the fact that the taxes on fuels, including fuel duties and the VATs account for over 50% of the retail price, one of the highest in the EU, which are not only one of the major sources of government revenue but also helps to protect the environment by discouraging drivers from using their cars. Therefore, it may also have a strong implication for the Chinese government, especially in its efforts to tackle traffic congestions, streamline the toll way charge systems and to control the PM2.5 pollutants while still struggling to stabilise its revenue from taxes/fuel duties.

Hui Ding; Ling Zhao

2013-01-01T23:59:59.000Z

354

Measurement of average resistance in underwater breathing apparatus  

SciTech Connect (OSTI)

Underwater Breathing Apparatus (UBA) have long been characterized by the mechanical work done on them during simulated breathing. For 20 years, the work of breathing has been divided by tidal volume to yield what is properly considered a volume-averaged pressure. The authors assert that when volume-averaged pressure is divided by a factor proportional to ventilation, the result is a measure of flow resistance averaged over an entire breath. This point is illustrated with both theoretical and actual pressure-volume and pressure-flow curves for a MK 16 closed-circuit UBA.

Clarke, J.R. [Navy Experimental Diving Unit, Panama City, FL (United States)

1996-09-01T23:59:59.000Z

355

Time average vibration fringe analysis using Hilbert transformation  

SciTech Connect (OSTI)

Quantitative phase information from a single interferogram can be obtained using the Hilbert transform (HT). We have applied the HT method for quantitative evaluation of Bessel fringes obtained in time average TV holography. The method requires only one fringe pattern for the extraction of vibration amplitude and reduces the complexity in quantifying the data experienced in the time average reference bias modulation method, which uses multiple fringe frames. The technique is demonstrated for the measurement of out-of-plane vibration amplitude on a small scale specimen using a time average microscopic TV holography system.

Kumar, Upputuri Paul; Mohan, Nandigana Krishna; Kothiyal, Mahendra Prasad

2010-10-20T23:59:59.000Z

356

Integrated Management Requirements mapping  

SciTech Connect (OSTI)

This document contains five appendices documenting how Sandia implemented the DOE Conduct of Operations (5480.19) and DOE Quality Assurance (5700.6C) orders. It provides a mapping of the Sandia integrated requirements to the specific requirements of each Order and a mapping to Sandia`s approved program for implementing the Conduct of Operations Order.

Holmes, J.T.; Andrews, N.S.

1992-06-01T23:59:59.000Z

357

Integrated Management Requirements mapping  

SciTech Connect (OSTI)

This document contains five appendices documenting how Sandia implemented the DOE Conduct of Operations (5480.19) and DOE Quality Assurance (5700.6C) orders. It provides a mapping of the Sandia integrated requirements to the specific requirements of each Order and a mapping to Sandia's approved program for implementing the Conduct of Operations Order.

Holmes, J.T.; Andrews, N.S.

1992-06-01T23:59:59.000Z

358

Enridged contour maps  

Science Journals Connector (OSTI)

The visualization of scalar functions of two variables is a classic and ubiquitous application. We present a new method to visualize such data. The method is based on a non-linear mapping of the function to a height field, followed by visualization as ... Keywords: contours, flow visualization, height fields, mapping, multivariate visualization

Jarke J. van Wijk; Alexandru Telea

2001-10-01T23:59:59.000Z

359

Maps & Geographic Information  

E-Print Network [OSTI]

Geog 380 Maps & Geographic Information Geog 488/588 GIS 1: Introduction to GIS Geog 475/575 Digital 495/595 Maps, Models & GIS Geog 489/589 Building a GIS Data Base with GPS Geog 492/592 GIS 2: Advanced Compilation & Data Base Design Geog 490/590 GIS Programming Geog 410/510 Applied GIS: 3-D Visualization Geog

360

Introgression & mapping Fiber cell  

E-Print Network [OSTI]

Germplasm Introgression Genomics & mapping Fiber cell initiation Radiation hybrid (RH) mapping and breeding. Research activities commonly include plant breeding, genetics, genomics, cytogenetics, molecular methods. (C, S) · Contribute uniquely to genomics and its relevance to genetic improvement (C,S) · Harness

Note: This page contains sample records for the topic "average revenue map" 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

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

average heating degree days average heating degree days Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/ Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords annual average heating degree days climate GIS NASA SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.7 MiB)

362

Averaging Spacetime: Where do we go from here?  

E-Print Network [OSTI]

The construction of an averaged theory of gravity based on Einstein's General Relativity is very difficult due to the non-linear nature of the gravitational field equations. This problem is further exacerbated by the difficulty in defining a mathematically precise covariant averaging procedure for tensor fields over differentiable manifolds. Together, these two ideas have been called the averaging problem for General Relativity. In the first part of the talk, an attempt to review some the various approaches to this problem will be given, highlighting strengths, weaknesses, and commonalities between them. In the second part of the talk, an argument will be made, that if one wishes to develop a well-defined averaging procedure, one may choose to parallel transport along geodesics with respect to the Levi-Cevita connection or, use the Weitzenb\\"ock connection and ensure the transportation is independent of path. The talk concludes with some open questions to generate further discussion.

R. J. van den Hoogen

2010-04-15T23:59:59.000Z

363

U.S. average gasoline price up slightly  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

average retail price for regular gasoline rose slightly to 3.65 a gallon on Monday. That's up a tenth of a penny from a week ago, based on the weekly price survey by the U.S....

364

Fact #671: April 18, 2011 Average Truck Speeds  

Broader source: Energy.gov [DOE]

The Federal Highway Administration studies traffic volume and flow on major truck routes by tracking more than 500,000 trucks. The average speed of trucks on selected interstate highways is between...

365

Abstract Interpretation for Worst and Average Case Analysis  

E-Print Network [OSTI]

energy usage whilst bounding the average number of requests waiting to be served. PRISM is used phase extracts a control flow graph ­ for some classes of language this may already involve an abstract

Di Pierro, Alessandra

366

Weighted Coherence: A More Effective Measure Than Average Coherence  

Science Journals Connector (OSTI)

In this study, we evaluated the effectiveness of the statistic, Weighted Coherence in relation to the average or mean coherence in a particular frequency band after cross- ... using cross-spectral analysis is r...

Vikram Kumar Yeragani; Arindam Barua

2003-12-01T23:59:59.000Z

367

Table 17. Recoverable Coal Reserves and Average Recovery Percentage...  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2012 (million short tons) U.S. Energy Information...

368

Table A44. Average Prices of Purchased Electricity and Steam  

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

4. Average Prices of Purchased Electricity and Steam" 4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

369

Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

370

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

South America from NREL South America from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

371

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Central America and the Carribean from NREL Central America and the Carribean from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

372

U.S. Refiner Sales to End Users (Average) Prices  

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

Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Formulation/ Grade Sales Type Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Conventional, Average 3.030 3.137 3.122 3.063 3.042 2.972 1994-2013 Conventional Regular 3.005 3.116 3.102 3.040 3.017 2.948 1994-2013 Conventional Midgrade 3.167 3.256 3.239 3.200 3.193 3.121 1994-2013 Conventional Premium 3.269 3.354 3.327 3.291 3.274 3.203 1994-2013 Oxygenated, Average - - - - - - 1994-2013 Oxygenated Regular - - - - - - 1994-2013 Oxygenated Midgrade - - - - - - 1994-2013

373

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps  

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

the MapSearch site. For information on how the 50m maps were developed, access the GIS Data Background page. For information on how some of the other wind maps were...

374

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps  

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

For more PV resource maps, access the MapSearch site. For Geographic Information System (GIS) solar resource data, access the Data Resources page. For interactive maps and tools...

375

Unit I-2 Linear Maps 1 Linear maps  

E-Print Network [OSTI]

Unit I-2 Linear Maps 1 Unit I-2 Linear maps Unit I-2 Linear Maps 2 Linear map · V & U are vector spaces over the same scalars · a function f: VU is a linear map if it preserves the vector space transformation [particularly when f: RnRm] ­ linear operator when f: V V [same v.s.] ­ linear mapping ­ linear

Birkett, Stephen

376

Site Map - Pantex Plant  

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

Site Map Site Map Site Map Page Content Pantex.com Mission & Strategies Mission National Security Nuclear Explosive Operations Nuclear Material Operations HE Operations Strategies Advance HE Center of Excellence Exemplify a High Reliability Organization Health & Safety Safety Training Occupational Medicine Contractor Safety Environment Environmental Projects & Operations Regulatory Compliance Waste Operations Environmental Management System Environmental Document Library Public Meetings Doing Business With Pantex Procurement How We Buy Subcontracting Opportunities Supplier Information Profile Suspect/Counterfiet Items Business Definitions Documents and Forms Accounts Payable Work for Others Our Capabilities How to do Business with the Pantex eXMC Employee Information Benefits

377

Fractional Standard Map  

E-Print Network [OSTI]

Properties of the phase space of the standard map with memory are investigated. This map was obtained from a kicked fractional differential equation. Depending on the value of the parameter of the map and the fractional order of the derivative in the original differential equation this nonlinear dynamical system demonstrates attractors (fixed points, stables periodic trajectories, slow converging and slow diverging trajectories, ballistic trajectories, and fractal-like structures) and/or chaotic trajectories. At least one type of fractal-like sticky attractors in the chaotic sea was observed.

Mark Edelman; Vasily E. Tarasov

2009-11-24T23:59:59.000Z

378

Dynamics of acyclic interval maps  

E-Print Network [OSTI]

Vol. 6 (2009) Dynamics of acyclic interval maps [16] D.orbits and bifurcation of maps of the interval. SIAM J.Dynamics of acyclic interval maps Morris W. Hirsch He who

Hirsch, Morris W

2009-01-01T23:59:59.000Z

379

Maps of Selected State Subdivisions  

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

Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map...

380

ATIS -- Alternative Revenue Approaches  

E-Print Network [OSTI]

approaches to achieve a self sustaining ATIS, identifywith an emphasis on building a self-sustaining ATIS based onapproaches to achieve a self sustaining ATIS. The emphasis

Yim, Y. B.

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average revenue map" 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

Internal Revenue Service  

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

6 Number of participants as of the end of the plan year (welfare plans complete only lines 6a, 6b, 6c, and 6d). a Active participants ......

382

"2012 Average Monthly Bill- Residential"  

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

Residential" Residential" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",6203726,634.13095,15.713593,99.644755 "Connecticut",1454651,730.85302,17.343298,126.75402 "Maine",703770,530.56349,14.658797,77.774225 "Massachusetts",2699141,627.15845,14.912724,93.52641 "New Hampshire",601697,614.81776,16.070168,98.802249 "Rhode Island",435448,597.34783,14.404061,86.042344 "Vermont",309019,565.03618,17.006075,96.090478 "Middle Atlantic",15727423,700.63673,15.272654,107.00582

383

"2012 Average Monthly Bill- Industrial"  

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

Industrial" Industrial" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",34164,67854.037,11.83487,8030.4373 "Connecticut",4647,63947.063,12.672933,8103.9685 "Maine",2780,90741.457,7.9819499,7242.9376 "Massachusetts",21145,66710.826,12.566635,8383.3057 "New Hampshire",3444,47247.217,11.83228,5590.423 "Rhode Island",1927,39935.911,10.676724,4263.8471 "Vermont",221,536044.12,9.9796777,53495.475 "Middle Atlantic",45836,126368.14,7.4903534,9465.42 "New Jersey",12729,50817.89,10.516509,5344.2677

384

Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual  

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

Chlorofluorocarbons » Chlorofluorocarbons » Atmospheric CFC-11 Concentrations Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual Data for the Period 1975-1992 DOI: 10.3334/CDIAC/atg.db1010 data Data (DB1010) Investigator M. A. K. Khalil and R. A. Rasmussen Description This data set presents globally averaged atmospheric concentrations of chlorofluorocarbon 11, known also as CFC-11 or F-11 (chemical name: trichlorofluoromethane; formula: CCl3F). The monthly global average data are derived from flask air samples collected at eight sites in six locations over the period August 1980-July 1992. The sites are Barrow (Alaska), Cape Meares (Oregon), Cape Kumukahi and Mauna Loa (Hawaii), Cape Matatula (American Samoa), Cape Grim (Tasmania), Palmer Station, and the

385

Comparison of Average Transport and Dispersion Among a Gaussian, a  

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

Comparison of Average Transport and Dispersion Among a Gaussian, a Comparison of Average Transport and Dispersion Among a Gaussian, a Two-Dimensional, and a Three-Dimensional Model Comparison of Average Transport and Dispersion Among a Gaussian, a Two-Dimensional, and a Three-Dimensional Model The Nuclear Regulatory Commission's (NRC's) code for predicting off-site consequences, MACCS2 (Chanin, et al. 1998) (MELCOR Accident Consequence Code System, Version 2), uses a simplified model for atmospheric transport and d ispersion (ATD), that is, a straight-line Gaussian model. The MACCS2 calculations are used by the NRC for planning purposes, for cost-benefit analyses, and in level-3 probabilistic risk analyses (PRAs). The MACCS2 ATD model has been criticized as being overly simplistic, even for its purposes. The justification for its use has been

386

Web Site Map  

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

Help » Web Site Map Help » Web Site Map Web Site Map The links listed below include all pages on the site except document topic pages. Home Privacy/Security Help Web Site Map Mailing Services Remove me from the List Contact Us About Us News and Events News Archives News/Media FAQs Internet Resources Documents DUF6 EIS Historical Context What is an EIS? Why EIS is Needed Who is Responsible? EIS Process EIS Topics EIS Alternatives EIS Schedule Public Involvement Opportunities Public Comment Form For More Info DUF6 Management and Uses Management Responsibilities DUF6 Storage How DUF6 is Stored Where DUF6 is Stored Cylinder Leakage DUF6 Storage Safety DUF6 PEIS Cylinder Surveillance and Maintenance Conversion Potential DU Uses "Business Case" for R&D on Beneficial Uses of DU Catalysts for Destruction of Air Pollutants

387

Surveying & Mapping Surveying  

E-Print Network [OSTI]

in many states. Tuition Discount Residents from New Hampshire, Vermont, Massachusetts services involve locating boundaries, land development, and mapping. Most careers. Employers Graduates work for both private firms and public agencies. The Bureau

Thomas, Andrew

388

ARM - Instrument - maps  

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

govInstrumentsmaps Documentation MAPS : XDC documentation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

389

RMOTC - Contact Us - Maps  

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

Maps M ap - RMOTCs testing facility is located 35 miles north of Casper, Wyoming RMOTC's test site, NPR-3, is located about 35 miles north of Casper, Wyoming. For driving...

390

Dating the Vinland Map  

ScienceCinema (OSTI)

Scientists from Brookhaven National Laboratory, the University of Arizona, and the Smithsonian Institution used carbon-dating technology to determine the age of a controversial parchment that might be the first-ever map of North America.

None

2013-07-17T23:59:59.000Z

391

SRNL Site Map  

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

DOE DOE-EM DOE-SR NNSA SRS SRNS Site Map Disclaimer Legal Information SRNL * Aiken * SC * 29808-0001 * SRNL Operator: 803-725-6211 SRNL is the DOE Office of Environmental...

392

Logistic Map Potentials  

E-Print Network [OSTI]

We develop and illustrate methods to compute all single particle potentials that underlie the logistic map, x --> sx(1-x) for 02. We illustrate the methods numerically for the cases s=5/2 and s=10/3.

Thomas Curtright; Andrzej Veitia

2010-05-27T23:59:59.000Z

393

NREL: MapSearch  

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

to easily search our collection of maps created by the Geographic Information System (GIS) team. Please use the search box and the filters on the left of the screen to limit...

394

Wind Career Map  

K-12 Energy Lesson Plans and Activities Web site (EERE)

This wind career map explores an expanding universe of wind energy occupations, describing diverse jobs across the industry, charting possible progression between them, and identifying the high-quality training necessary to do them well.

395

Directions and Maps  

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

Directions & Maps Directions & Maps Plan Your Visit Visit About the Museum Museum Hours Directions & Maps When to Visit Arrange for a Visit Around Los Alamos Contact Us invisible utility element Directions and Maps Aerial View of Los Alamos Aerial approach to the Los Alamos airport Where we're located Los Alamos (elevation 7,355 feet) is perched high atop the Pajarito Plateau in the Jemez Mountains, 35 miles northwest of Santa Fe. The Bradbury Science Museum is located in downtown Los Alamos at the corner of Central Avenue and 15th Street. If you're driving here and using GPS navigation, our address is 1350 Central Avenue, Los Alamos, NM 87544. How to get here From Albuquerque take I-25 north to Santa Fe (take NM 599 for most direct route), then US 84/285 north to Pojoaque. At Pojoaque take the NM 502 exit

396

Wind Career Map: Resource List  

Broader source: Energy.gov [DOE]

The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

397

Fatty Acid Carcass Mapping  

E-Print Network [OSTI]

FATTY ACID CARCASS MAPPING A Thesis by STACEY NICOLE TURK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 2008... Major Subject: Animal Science FATTY ACID CARCASS MAPPING A Thesis by STACEY NICOLE TURK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE...

Turk, Stacey N.

2010-01-14T23:59:59.000Z

398

Wind Resource Maps (Postcard)  

SciTech Connect (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

Not Available

2011-07-01T23:59:59.000Z

399

High average power scaleable thin-disk laser  

DOE Patents [OSTI]

Using a thin disk laser gain element with an undoped cap layer enables the scaling of lasers to extremely high average output power values. Ordinarily, the power scaling of such thin disk lasers is limited by the deleterious effects of amplified spontaneous emission. By using an undoped cap layer diffusion bonded to the thin disk, the onset of amplified spontaneous emission does not occur as readily as if no cap layer is used, and much larger transverse thin disks can be effectively used as laser gain elements. This invention can be used as a high average power laser for material processing applications as well as for weapon and air defense applications.

Beach, Raymond J. (Livermore, CA); Honea, Eric C. (Sunol, CA); Bibeau, Camille (Dublin, CA); Payne, Stephen A. (Castro Valley, CA); Powell, Howard (Livermore, CA); Krupke, William F. (Pleasanton, CA); Sutton, Steven B. (Manteca, CA)

2002-01-01T23:59:59.000Z

400

Averaged equations for Josephson junction series arrays with LRC load  

E-Print Network [OSTI]

We derive the averaged equations describing a series array of Josephson junctions shunted by a parallel inductor-resistor-capacitor load. We assume that the junctions have negligable capacitance ($\\beta = 0$), and derive averaged equations which turn out to be completely tractable: in particular the stability of both in-phase and splay states depends on a single parameter, $\\del$. We find an explicit expression for $\\delta$ in terms of the load parameters and the bias current. We recover (and refine) a common claim found in the technical literature, that the in-phase state is stable for inductive loads and unstable for capacitive loads.

Kurt Wiesenfeld; James W. Swift

1994-08-26T23:59:59.000Z

Note: This page contains sample records for the topic "average revenue map" 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

An investigation of nonlinear xenon oscillation by method of averaging  

Science Journals Connector (OSTI)

A nonlinear analysis of xenon-temperature controlled nuclear reactor dynamics is presented. The set of equations in question belongs to a general class of rate equations with quadratic nonlinearities. Boundedness of the solutions is examined. The mean value of periodic solutions for the flux is shown to be always less than the equilibrium value. The Bogoliubov's method of averaging as extended by Case is applied to obtain approximate solutions. The mechanism of the existence of relaxation oscillations in the linear stability region is analyzed. Computer calculations are performed and found in good agreement with the approximate solutions obtained by means of the method of averaging.

Yoshiro Asahi; A.Ziya Akcasu

1973-01-01T23:59:59.000Z

402

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department;Diffusion Maps for Changing Data Collaborators Ronald Coifman (Yale University) Roy Lederman (Yale University) #12;Diffusion Maps for Changing Data How to compare images across sensors? Figure: Sokolov Mine

Hirn, Matthew

403

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department of Mathematics Yale University July 26, 2012 Bell Labs #12;Diffusion Maps for Changing Data Collaborators Joint work with Ronald Coifman and Roy Lederman. #12;Diffusion Maps for Changing Data Overview 1 High

Hirn, Matthew

404

THE SCALE PROBLEM FOR OLD MAPS (and mental maps)  

E-Print Network [OSTI]

THE SCALE PROBLEM FOR OLD MAPS (and mental maps) Waldo Tobler From the theory of cartography we know that the instantaneous scale at a point on any map is always represented by the equation: dS2 /ds2 = g cos2 + 2g cos sin + g sin2 . This shows that the scale on a map is generally different in all

Tobler, Waldo

405

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department of Mathematics Yale University November 29, 2012 Kansas State University Colloquium #12;Diffusion Maps;Diffusion Maps for Changing Data How to compare images across sensors? Figure: Sokolov Mine in 2009 and 2010

Hirn, Matthew

406

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn Department in Honor of the 70th Birthday of David R. Larson #12;Diffusion Maps for Changing Data Collaborators Joint work with Ronald Coifman and Roy Lederman. #12;Diffusion Maps for Changing Data High Dimensional Data

Hirn, Matthew

407

Diffusion Maps for Changing Data Diffusion Maps for Changing Data  

E-Print Network [OSTI]

Diffusion Maps for Changing Data Diffusion Maps for Changing Data Matthew J. Hirn September 3, 2013 #12;Diffusion Maps for Changing Data Collaborators Simon Adar, Tel Aviv University Eyal Ben Dor, Tel, Clarkson University Yoel Shkolnisky, Tel Aviv University #12;Diffusion Maps for Changing Data Heat equation

Hirn, Matthew

408

Area as a devil's staircase in twist maps  

SciTech Connect (OSTI)

In area-preserving maps, the area under an invariant set as a function of frequency is a devil's staircase. We show this staircase is the derivative of the average action of the invariant set with respect to frequency. This implies that resonances fill the phase space completely when there are no invariant curves.

Chen, Q.

1987-05-01T23:59:59.000Z

409

Residual Fuel Oil Prices, Average - Sales to End Users  

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

Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product/Sales Type Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. - - - - - - 1983-2013 East Coast (PADD 1) - - - - - - 1983-2013 New England (PADD 1A) - - - - - - 1983-2013 Connecticut - - - - - - 1983-2013 Maine - - - - - - 1983-2013 Massachusetts - - - - - - 1983-2013

410

Navy Estimated Average Hourly Load Profile by Month (in MW)  

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

Navy Estimated Average Hourly Load Profile by Month (in MW) MONTH HE1 HE2 HE3 HE4 HE5 HE6 HE7 HE8 HE9 HE10 HE11 HE12 HE13 HE14 HE15 HE16 HE17 HE18 HE19 HE20 HE21 HE22 HE23 HE24...

411

Disk-averaged Spectra & light-curves of Earth  

E-Print Network [OSTI]

We are using computer models to explore the observational sensitivity to changes in atmospheric and surface properties, and the detectability of biosignatures, in the globally averaged spectra and light-curves of the Earth. Using AIRS (Atmospheric Infrared Sounder) data, as input for atmospheric and surface properties, we have generated spatially resolved high-resolution synthetic spectra using the SMART radiative transfer model, for a variety of conditions, from the UV to the far-IR (beyond the range of current Earth-based satellite data). We have then averaged over the visible disk for a number of different viewing geometries to quantify the sensitivity to surface types and atmospheric features as a function of viewing geometry, and spatial and spectral resolution. These results have been processed with an instrument simulator to improve our understanding of the detectable characteristics of Earth-like planets as viewed by the first generation extrasolar terrestrial planet detection and characterization missions (Terrestrial Planet Finder/Darwin and Life finder). The wavelength range of our results are modelled over are applicable to both the proposed visible coronograph and mid-infrared interferometer TPF architectures. We have validated this model against disk-averaged observations by the Mars Global Surveyor Thermal Emission Spectrometer (MGS TES). This model was also used to analyze Earth-shine data for detectability of planetary characteristics and biosignatures in disk-averaged spectra.

G. Tinetti; V. S. Meadows; D. Crisp; W. Fong; N. Kiang; E. Fishbein; T. Velusamy; E. Bosc; M. Turnbull

2005-02-11T23:59:59.000Z

412

Averaging of Temporal Memories by Rats Dale N. Swanton  

E-Print Network [OSTI]

Averaging of Temporal Memories by Rats Dale N. Swanton Villanova University Cynthia M. Gooch University of Pennsylvania School of Medicine Matthew S. Matell Villanova University Rats were trained on a mixed fixed-interval schedule in which stimulus A (tone or light) indicated food availability after 10

Matell, Matthew S.

413

IE 361 Module 15 The Average Run Length Concept  

E-Print Network [OSTI]

IE 361 Module 15 The Average Run Length Concept Reading: Section 3.5 of Statistical Quality Assurance Methods for Engineers Prof. Steve Vardeman and Prof. Max Morris Iowa State University Vardeman Electric set of alarm rules to a control charting scheme? The most e¤ective means known for making

Vardeman, Stephen B.

414

Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity  

Science Journals Connector (OSTI)

...Oxford Centre for Industrial and Applied Mathematics...USA 6 National Center for Voice and Speech...replication of the UPDRS assessment with clinically...IA: National Center for Voice and Speech...pathological voice quality assessment system based on...replication of the UPDRS assessment with clinically...

2011-01-01T23:59:59.000Z

415

Mapping Residual Structure in Intrinsically Disordered Proteins at Residue Resolution Using Millisecond Hydrogen/Deuterium Exchange and Residue Averaging  

Science Journals Connector (OSTI)

Measurement of residual structure in intrinsically disordered proteins can provide insights into the mechanisms by which such proteins undergo coupled binding and folding. The present ... describes an approach to...

Theodore R. Keppel; David D. Weis

2014-12-01T23:59:59.000Z

416

Maximum-Likelihood Continuity Mapping (MALCOM): An Alternative to HMMs  

SciTech Connect (OSTI)

The authors describe Maximum-Likelihood Continuity Mapping (MALCOM) as an alternative to hidden Markov models (HMMs) for processing sequence data such as speech. While HMMs have a discrete ''hidden'' space constrained by a fixed finite-automata architecture, MALCOM has a continuous hidden space (a continuity map) that is constrained only by a smoothness requirement on paths through the space. MALCOM fits into the same probabilistic framework for speech recognition as HMMs, but it represents a far more realistic model of the speech production process. The authors support this claim by generating continuity maps for three speakers and using the resulting MALCOM paths to predict measured speech articulator data. The correlations between the MALCOM paths (obtained from only the speech acoustics) and the actual articulator movements average 0.77 on an independent test set not used to train MALCOM nor the predictor. On average, this unsupervised model achieves 92% of performance obtained using the corresponding supervised method.

Nix, D.A.; Hogden, J.E.

1998-12-01T23:59:59.000Z

417

Career Map: Assembler and Fabricator  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Assembler and Fabricator positions.

418

Career Map: Analyst/Researcher  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Analyst/Researcher positions.

419

Career Map: Land Acquisition Specialist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Land Acquisition Specialist positions.

420

SRNL - Directions and Maps  

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

Map of SRS, with Georgia and South Carolina Map of SRS, with Georgia and South Carolina Directions and Maps The Savannah River National Laboratory is located at the Savannah River Site , a 310 square mile site located in the southeastern coastal area of the United States in the state of South Carolina. It is bordered to the west by the Savannah River and Georgia, and is close to several major cities, including Augusta and Savannah (Ga.), Columbia, Greenville, and Charleston (S.C.). It is in an area residents refer to as the Central Savannah River Area, or CSRA. The Aiken County Technology Laboratory (which houses SRNL's biotechnology laboratories and certain waste treatment technology laboratories) and the Center for Hydrogen Research are located at Aiken County's Savannah River Research Campus, located adjacent to SRS.

Note: This page contains sample records for the topic "average revenue map" 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

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

422

Manhattan Project: Site Map  

Office of Scientific and Technical Information (OSTI)

SITE MAP SITE MAP Resources > Site Map THE MANHATTAN PROJECT Events 1890s-1939: Atomic Discoveries A Miniature Solar System, 1890s-1919 Exploring the Atom, 1919-1932 Atomic Bombardment, 1932-1938 The Discovery of Fission, 1938-1939 Fission Comes to America, 1939 1939-1942: Early Government Support Einstein's Letter, 1939 Early Uranium Research, 1939-1941 Piles and Plutonium, 1939-1941 Reorganization and Acceleration, 1940-1941 The MAUD Report, 1941 A Tentative Decision to Build the Bomb, 1941-1942 1942: Difficult Choices More Uranium Research, 1942 More Piles and Plutonium, 1942 Enter the Army, 1942 Groves and the MED, 1942 Picking Horses, November 1942 Final Approval to Build the Bomb, December 1942 1942-1944: The Uranium Path to the Bomb Y-12: Design, 1942-1943 Y-12: Construction, 1943

423

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

424

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

425

GPS Visitor Tracking and Recreation Suitability Mapping: Tools for understanding and managing visitor use  

Science Journals Connector (OSTI)

Abstract Understanding space in parks and protected areas is becoming more important as recreation and other uses in these areas change and increase. Spatial demand and space utility are of particular importance to multiple-use forests, which may have competing demands and limited acreage. For managers to balance the demands of society, maintain healthy ecosystems, and generate revenue these demands must be integrated on some level. Spatial data and analysis can help with integration; however, social science data can be difficult to integrate into spatial modeling and analysis. This study examined the integration of two mapping methods that can assist in the incorporation of social science data into spatial models: Recreation Suitability Mapping (RSM) and GPS Visitor Tracking (GVT). Visitor use preferences were spatially mapped to create recreation suitability models for competing recreation activity groups, and GPS tracking of visitor use was used to compare and contrast actual user patterns with mapped preferences. Combining RSM and GVT proved useful for informing visitor management in a small acreage, multi-use public forest experiencing high spatial demand. Theoretical, methodological, and practical implications are discussed.

J. Adam Beeco; Jeffrey C. Hallo; Matthew T.J. Brownlee

2014-01-01T23:59:59.000Z

426

A Multivariate Moving Average Control Chart for Photovoltaic Processes  

E-Print Network [OSTI]

AbstractFor the electrical metrics that describe photovoltaic cell performance are inherently multivariate in nature, use of a univariate, or one variable, statistical process control chart can have important limitations. Development of a comprehensive process control strategy is known to be significantly beneficial to reducing process variability that ultimately drives up the manufacturing cost photovoltaic cells. The multivariate moving average or MMA chart, is applied to the electrical metrics of photovoltaic cells to illustrate the improved sensitivity on process variability this method of control charting offers. The result show the ability of the MMA chart to expand to as any variables as needed, suggests an application with multiple photovoltaic electrical metrics being used in concert to determine the processes state of control. KeywordsThe multivariate moving average control chart, Photovoltaic processes control, Multivariate system. I.

Chunchom Pongchavalit

427

Yearly-averaged daily usefulness efficiency of heliostat surfaces  

SciTech Connect (OSTI)

An analytical expression for estimating the instantaneous usefulness efficiency of a heliostat surface is obtained. A systematic procedure is then introduced to calculate the usefulness efficiency even when overlapping of blocking and shadowing on a heliostat surface exist. For possible estimation of the reflected energy from a given field, the local yearly-averaged daily usefulness efficiency is calculated. This efficiency is found to depend on site latitude angle, radial distance from the tower measured in tower heights, heliostat position azimuth angle and the radial spacing between heliostats. Charts for the local yearly-averaged daily usefulness efficiency are presented for {phi} = 0, 15, 30, and 45 N. These charts can be used in calculating the reflected radiation from a given cell. Utilization of these charts is demonstrated.

Elsayed, M.M.; Habeebuallah, M.B.; Al-Rabghi, O.M. (King Abdulaziz Univ., Jeddah (Saudi Arabia))

1992-08-01T23:59:59.000Z

428

A holographic proof of the averaged null energy condition  

E-Print Network [OSTI]

The averaged null energy conditions (ANEC) states that, along a complete null curve, the negative energy fluctuations of a quantum field must be balanced by positive energy fluctuations. We use the AdS/CFT correspondence to prove the ANEC for a class of strongly coupled conformal field theories in flat spacetime. A violation of the ANEC in the field theory would lead to acausal propagation of signals in the bulk.

William R. Kelly; Aron C. Wall

2014-11-03T23:59:59.000Z

429

Average dynamics of a finite set of coupled phase oscillators  

SciTech Connect (OSTI)

We study the solutions of a dynamical system describing the average activity of an infinitely large set of driven coupled excitable units. We compared their topological organization with that reconstructed from the numerical integration of finite sets. In this way, we present a strategy to establish the pertinence of approximating the dynamics of finite sets of coupled nonlinear units by the dynamics of its infinitely large surrogate.

Dima, Germn C., E-mail: gdima@df.uba.ar; Mindlin, Gabriel B. [Laboratorio de Sistemas Dinmicos, IFIBA y Departamento de Fsica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabelln 1, Ciudad Universitaria, Buenos Aires (Argentina)] [Laboratorio de Sistemas Dinmicos, IFIBA y Departamento de Fsica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabelln 1, Ciudad Universitaria, Buenos Aires (Argentina)

2014-06-15T23:59:59.000Z

430

Better than Average? - Green Building Certification in International Projects  

E-Print Network [OSTI]

8th International Conference for Enhanced Building Operations - ICEBO?08 Conference Center of the Federal Ministry of Economics and Technology Berlin, October 20 - 22, 2008 Dipl.-Ing. Oliver Baumann Ebert & Baumann Consulting Engineers, Inc.... An Enterprise of the Ebert-Consulting Group 1004 Pennsylvania Avenue, SE Washington, D.C. 20003, USA 00 12 02/ 6 08 - 13 34 o.baumann@eb-engineers.com Better than Average? - Green Building Certification in International Projects Green Building...

Baumann, O.

2008-01-01T23:59:59.000Z

431

RENORMALIZATION TECHNIQUES AND MEAN SQUARE AVERAGING, I. DETERMINISTIC EQUATIONS  

Science Journals Connector (OSTI)

...U2 - 1)u' by a linear expression clu + c2u' and using a time average, we find that...equation to (4.1) is given by U" + C2U' + U = 0, rT where C2 = lim f (a2 cos2...0, (4.5) we write g(u) = clu + c2u', where C, = lim g(u)udt/ f u...

Richard Bellman; John M. Richardson

1961-01-01T23:59:59.000Z

432

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps  

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

Bookmark and Share Bookmark and Share Maps NREL's GIS team develops maps for various renewable resources and for specific projects. As a benefit to the public, a majority of static maps are offered and Google Map (KML/KMZ) files on a tool called MapSearch. Biomass Maps Maps showing the biomass resources available in the United States by county. Feedstock categories include crop residues; forest residues; primary and secondary mill residues; urban wood waste; and methane emissions from manure management, landfills, and domestic wastewater treatment. Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been

433

Table 8. Average Price of U.S. Coal Exports  

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

Average Price of U.S. Coal Exports Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 8. Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 78.29 77.25 102.62 77.88 105.14 -25.9 Canada* 81.61 80.70 110.67 81.30 112.16 -27.5 Dominican Republic 78.54 75.09 73.89 75.77 76.61 -1.1 Honduras - 54.58 54.43 54.58 54.43 0.3 Jamaica 480.00 54.43 - 54.72 55.42 -1.3 Mexico 73.45 75.81 94.36 74.35 100.95 -26.3 Other** 80.33 389.30 70.37 82.45 76.10 8.3 South America Total 107.72 108.02 149.99 107.88

434

Table 17. Average Price of U.S. Coke Exports  

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

Average Price of U.S. Coke Exports Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 17. Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 240.59 241.38 218.40 240.85 225.80 6.7 Canada* 147.49 330.47 243.04 183.08 286.56 -36.1 Mexico 316.57 211.63 189.12 273.97 171.71 59.6 Other** 612.42 485.63 134.48 525.92 135.04 289.5 South America Total 140.65 156.15 322.70 148.29 250.36 -40.8 Other** 140.65 156.15 322.70 148.29 250.36 -40.8 Europe Total 259.26 255.24 - 257.06 427.83 -39.9 Other**

435

High Average Power, High Energy Short Pulse Fiber Laser System  

SciTech Connect (OSTI)

Recently continuous wave fiber laser systems with output powers in excess of 500W with good beam quality have been demonstrated [1]. High energy, ultrafast, chirped pulsed fiber laser systems have achieved record output energies of 1mJ [2]. However, these high-energy systems have not been scaled beyond a few watts of average output power. Fiber laser systems are attractive for many applications because they offer the promise of high efficiency, compact, robust systems that are turn key. Applications such as cutting, drilling and materials processing, front end systems for high energy pulsed lasers (such as petawatts) and laser based sources of high spatial coherence, high flux x-rays all require high energy short pulses and two of the three of these applications also require high average power. The challenge in creating a high energy chirped pulse fiber laser system is to find a way to scale the output energy while avoiding nonlinear effects and maintaining good beam quality in the amplifier fiber. To this end, our 3-year LDRD program sought to demonstrate a high energy, high average power fiber laser system. This work included exploring designs of large mode area optical fiber amplifiers for high energy systems as well as understanding the issues associated chirped pulse amplification in optical fiber amplifier systems.

Messerly, M J

2007-11-13T23:59:59.000Z

436

Table 22. Average Price of U.S. Coke Imports  

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

Average Price of U.S. Coke Imports Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 22. Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 263.21 252.66 353.05 261.29 356.01 -26.6 Canada 263.51 252.66 353.05 258.82 356.01 -27.3 Panama 263.09 - - 263.09 - - South America Total 196.86 194.14 175.88 195.94 181.01 8.2 Brazil - - 157.60 - 157.60 - Colombia 196.86 194.14 322.06 195.94 246.68 -20.6 Europe Total 181.55 232.13 385.65 225.53 384.96 -41.4 Czech Republic - 475.91 - 475.91 - - Spain 360.51

437

Maps and inverse maps in open quantum dynamics  

SciTech Connect (OSTI)

Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite different for the same unitary dynamics in the same situation in the larger system. An affine form is used for both kinds of maps to find necessary and sufficient conditions for inverse maps. All the different maps with the same homogeneous part in their affine forms have inverses if and only if the homogeneous part does. Some of these maps are completely positive; others are not, but the homogeneous part is always completely positive. The conditions for an inverse are the same for maps that are not completely positive as for maps that are. For maps defined for fixed mean values, the homogeneous part depends only on the unitary operator for the dynamics of the larger system, not on any state or mean values or correlations. Necessary and sufficient conditions for an inverse are stated several different ways: in terms of the maps of matrices, basis matrices, density matrices, or mean values. The inverse maps are generally not tied to the dynamics the way the maps forward are. A trace-preserving completely positive map that is unital cannot have an inverse that is obtained from any dynamics described by any unitary operator for any states of a larger system.

Jordan, Thomas F., E-mail: tjordan@d.umn.ed [Physics Department, University of Minnesota, Duluth, MN 55812 (United States)

2010-10-15T23:59:59.000Z

438

Maps and inverse maps in open quantum dynamics  

E-Print Network [OSTI]

Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite different for the same unitary dynamics in the same situation in the larger system. An affine form is used for both kinds of maps to find necessary and sufficient conditions for inverse maps. All the different maps with the same homogeneous part in their affine forms have inverses if and only if the homogeneous part does. Some of these maps are completely positive; others are not, but the homogeneous part is always completely positive. The conditions for an inverse are the same for maps that are not completely positive as for maps that are. For maps defined for fixed mean values, the homogeneous part depends only on the unitary operator for the dynamics of the larger system, not on any state or mean values or correlations. Necessary and sufficient conditions for an inverse are stated several different ways: in terms of the maps of matrices, basis matrices, density matrices, or mean values. The inverse maps are generally not tied to the dynamics the way the maps forward are. A trace-preserving completely positive map that is unital can not have an inverse that is obtained from any dynamics described by any unitary operator for any states of a larger system.

Thomas F. Jordan

2008-07-08T23:59:59.000Z

439

Field Mapping | Open Energy Information  

Open Energy Info (EERE)

Field Mapping Field Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Field Mapping Details Activities (59) Areas (35) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Stratigraphic/Structural: Map fault and fracture patterns, kinematic information. Hydrological: Map surface manifestations of geothermal systems. Thermal: Map surface temperature. Cost Information Low-End Estimate (USD): 400.0040,000 centUSD 0.4 kUSD 4.0e-4 MUSD 4.0e-7 TUSD / hour Median Estimate (USD): 600.0060,000 centUSD

440

Genetic algorithm eclipse mapping  

E-Print Network [OSTI]

In this paper we analyse capabilities of eclipse mapping technique, based on genetic algorithm optimization. To model of accretion disk we used the "fire-flies" conception. This model allows us to reconstruct the distribution of radiating medium in the disk using less number of free parameters than in other methods. Test models show that we can achieve good approximation without optimizing techniques.

Halevin, A V

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average revenue map" 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

PARKING MAP Sales Office  

E-Print Network [OSTI]

PARKING MAP BayDr. Main Entrance Parking Sales Office Main Entrance Kiosk East Remote Lot, B, C111, MC, N, NC, , Medical M 2hr 112 Core West Structure A, B, EV, MC, N, NC, , Medical P 2hr 113

Wilmers, Chris

442

Historical Maps Online  

E-Print Network [OSTI]

geospatial data to see change over time. The online map collection can be accessed over the Internet from search engines, library catalogs, GIS databases and many other entry points. Rumsey continues to add new content to the online collection and develops...

Rumsey, David Y.

2005-01-31T23:59:59.000Z

443

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques  

Open Energy Info (EERE)

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Abstract Research into the practicality of digital mapping by Placer Dome Exploration identified hardware and software solutions to enhance the efficiency and accuracy of field work. The goal of the research was to find a lightweight hardware-software system that allows the user to build a digital map from field observations in much the same way as pen and paper methods. The focus of the research was to minimize the size and weight of computer systems. Systems identified consist of a wearable PC or handheld

444

Hilbert Space Average Method and adiabatic quantum search  

E-Print Network [OSTI]

We discuss some aspects related to the so-called Hilbert space Average Method, as an alternative to describe the dynamics of open quantum systems. First we present a derivation of the method which does not make use of the algebra satisfied by the operators involved in the dynamics, and extend the method to systems subject to a Hamiltonian that changes with time. Next we examine the performance of the adiabatic quantum search algorithm with a particular model for the environment. We relate our results to the criteria discussed in the literature for the validity of the above-mentioned method for similar environments.

A. Perez

2009-01-19T23:59:59.000Z

445

W. R. Johnson An Average-Atom Model  

E-Print Network [OSTI]

W. R. Johnson An Average-Atom Model h0 - Z r + V (r) a(r) = aa(r) potential: V (r) = (r )/R d - (3) d 1 + exp[( - µ)/kT ] P 2 (r) norm: Z = R 0 4r 2 (r) dr ­ ND ­ 04/02 1 #12;W. R. Johnson Electron-Fermi contributions to continuum ­ ND ­ 04/02 2 #12;W. R. Johnson Phase shifts: Al - T=10eV 0 1 2 3 4 5 6 7 8 electron

Johnson, Walter R.

446

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 AEO 1996 1994 7.09 6.99 6.94 6.93 6.96 6.96 6.96 6.97 6.98 6.97 6.98 6.95 6.95 6.94 6.96 6.95 6.91 AEO 1997 1995 6.94 6.89 6.90 6.91 6.86 6.84 6.78 6.73 6.66 6.60 6.58 6.54 6.49 6.48 6.45 6.36

447

NDB Site Map  

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

Site map NDB Home Search Structures Search DNA Search RNA Advanced Search Nucleic acid tools RNA 3D motif atlas Non-redundant lists RNA base triples atlas WebFR3D R3D Align Contact NDB Mailing Address About NDB NDB Members Goal References Publications Site map Tools Software Standards Standard Reference Supplementary Information Ideal Geometries X-PLOR Parameters Valence Geometries RNA Ontology Consortium mmCIF Resources PDBML Resources Education Introduction to Nucleic Acids: DNA Definition of terms RNA Base Pair Families RNA Base-Phosphate Families Base Stacking Interactions Non Redundant list Equivalence classes RNA 3D Motifs Relative Frequency Introduction to Nucleic Acids: RNA Nucleic Acid Highlight (PDB): DNA DNA Polymerase Nucleosome Transfer RNA RNA Polymerase Self-splicing RNA

448

Technology Transfer: Site Map  

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

Site Map Site Map About Us About Technology Transfer Contact Us Available Technologies Advanced Materials Biofuels Biotechnology and Medicine Developing World Energy Environmental Technologies Imaging and Lasers Ion Sources and Beam Technologies Nanotechnology and Microtechnology Software and Information Technology For Industry Licensing Overview Frequently Asked Questions Partnering with Berkeley Lab Licensing Interest Form Receive New Tech Alerts For Researchers What You Need to Know and Do The Tech Transfer Process Forms Record of Invention (Word doc -- please do not use earlier PDF version of the form) Software Disclosure and Abstract (PDF, use Adobe Acrobat or Adobe Reader 9 and up ONLY to complete the form) Policies Conflict of Interest Outside Empolyment Export Control FAQs for Researchers

449

Husimi Maps in Graphene  

E-Print Network [OSTI]

We present a method for bridging the gap between the Dirac effective field theory and atomistic simulations in graphene based on the Husimi projection, allowing us to depict phenomena in graphene at arbitrary scales. This technique takes the atomistic wavefunction as an input, and produces semiclassical pictures of quasiparticles in the two Dirac valleys. We use the Husimi tech- nique to produce maps of the scattering behavior of boundaries, giving insight into the properties of wavefunctions at energies both close to and far from the Dirac point. Boundary conditions play a significant role to the rise of Fano resonances, which we examine using the Husimi map to deepen our understanding of bond currents near resonance.

Douglas J. Mason; Mario F. Borunda; Eric J. Heller

2012-06-08T23:59:59.000Z

450

Spectral conditions for positive maps  

E-Print Network [OSTI]

We provide a partial classification of positive linear maps in matrix algebras which is based on a family of spectral conditions. This construction generalizes celebrated Choi example of a map which is positive but not completely positive. It is shown how the spectral conditions enable one to construct linear maps on tensor products of matrix algebras which are positive but only on a convex subset of separable elements. Such maps provide basic tools to study quantum entanglement in multipartite systems.

Dariusz Chruscinski; Andrzej Kossakowski

2008-09-29T23:59:59.000Z

451

Mapping Biomass Distribution Potential  

E-Print Network [OSTI]

Mapping Biomass Distribution Potential Michael Schaetzel Undergraduate ? Environmental Studies ? University of Kansas L O C A T S I O N BIOMASS ENERGY POTENTIAL o According to DOE, Biomass has the potential to provide 14% of... the nations power o Currently 1% of national power supply o Carbon neutral? combustion of biomass is part of the natural carbon cycle o Improved crop residue management has potential to benefit environment, producers, and economy Biomass Btu...

Schaetzel, Michael

2010-11-18T23:59:59.000Z

452

Feminism, Maps and GIS  

Science Journals Connector (OSTI)

Until recently, there was not much connection between feminism and cartography or GIS (geographic information science and/or system) but today they are increasingly intertwined. The meaning and purpose of mapping have significantly changed in recent decades due to several reasons. For example, the mapping process has become computerized, virtually all spatial information is now digital, and GIS has emerged as essential when working with spatial data. At the same time, women have increased their visibility and presence in science and technologies. Feminist scholarship, too, has made a profound impact on social science and geography and has come to inform and influence the fields of cartography and GIS. This article discusses the changing relationship of cartography and GIS and presents major feminist critiques of these fields. After examining the undervalued contribution of women to both cartography and GIS, the article focuses on an ongoing engagement of feminism with GIS and practices of mapping. This engagement includes reclaiming the power of vision, creating a range of feminist cartographies, and the broader impacts of geospatial technologies on women's daily lives.

M. Pavlovskaya

2009-01-01T23:59:59.000Z

453

Power Maps in Algebra and  

E-Print Network [OSTI]

Power Maps in Algebra and Topology Kathryn Hess Preface The case of commutative algebras The Hochschild complex of a twisting cochain Power maps on the Hochschild complex Topological relevance Power Maps in Algebra and Topology Kathryn Hess Institute of Geometry, Algebra and Topology Ecole

Thévenaz, Jacques

454

Refining Restriction Enzyme Genome Maps  

Science Journals Connector (OSTI)

A genome map is an ordering of a set of clones according to their believed position on a DNA string. Simple heuristics for genome map assembly based on single restriction enzyme with complete digestion data can lead to inaccuracies and ambiguities. This ... Keywords: constraint query languages, genome mapping, set constraints

Peter Z. Revesz

1998-01-01T23:59:59.000Z

455

C3Bio.org - Usage: Maps  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Maps Users Currently Online Usage: Maps Overview Maps Users Currently Online...

456

Average System Cost Methodology : Administrator's Record of Decision.  

SciTech Connect (OSTI)

Significant features of average system cost (ASC) methodology adopted are: retention of the jurisdictional approach where retail rate orders of regulartory agencies provide primary data for computing the ASC for utilities participating in the residential exchange; inclusion of transmission costs; exclusion of construction work in progress; use of a utility's weighted cost of debt securities; exclusion of income taxes; simplification of separation procedures for subsidized generation and transmission accounts from other accounts; clarification of ASC methodology rules; more generous review timetable for individual filings; phase-in of reformed methodology; and each exchanging utility must file under the new methodology within 20 days of implementation by the Federal Energy Regulatory Commission of the ten major participating utilities, the revised ASC will substantially only affect three. (PSB)

United States. Bonneville Power Administration.

1984-06-01T23:59:59.000Z

457

Climate: monthly and annual average relative humidity GIS data at  

Open Energy Info (EERE)

relative humidity GIS data at relative humidity GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

458

An Exact Thickness-Weighted Average Formulation of the Boussinesq Equations WILLIAM R. YOUNG  

E-Print Network [OSTI]

An Exact Thickness-Weighted Average Formulation of the Boussinesq Equations WILLIAM R. YOUNG application of thickness-weighted averaging to the Boussinesq equa- tions of motion results in averaged

Young, William R.

459

Table 15. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Average Electricity Prices, Projected vs. Actual Average Electricity Prices, Projected vs. Actual (nominal cents per kilowatt-hour) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.38 6.96 7.63 8.23 8.83 9.49 AEO 1983 6.85 7.28 7.74 8.22 8.68 9.18 13.12 AEO 1984 6.67 7.05 7.48 7.89 8.25 8.65 11.53 AEO 1985 6.62 6.94 7.32 7.63 7.89 8.15 8.46 8.85 9.20 9.61 10.04 AEO 1986 6.67 6.88 7.05 7.18 7.35 7.52 7.65 7.87 8.31 8.83 9.41 10.01 10.61 11.33 12.02 AEO 1987 6.63 6.65 6.92 7.12 7.38 7.62 7.94 8.36 8.86 11.99 AEO 1989* 6.50 6.75 7.14 7.48 7.82 8.11 8.50 8.91 9.39 9.91 10.49 11.05 11.61 AEO 1990 6.49 6.72 8.40 10.99 14.5 AEO 1991 6.94 7.31 7.59 7.82 8.18 8.38 8.54 8.73 8.99 9.38 9.83 10.29 10.83 11.36 11.94 12.58 13.21 13.88 14.58 15.21 AEO 1992 6.97 7.16 7.32 7.56 7.78 8.04 8.29 8.57 8.93 9.38 9.82 10.26 10.73 11.25 11.83 12.37 12.96 13.58 14.23 AEO 1993

460

S. 156: A Bill to amend the Internal Revenue Code of 1986. Introduced in the Senate of the United States, One Hundred Third Congress, First Session, January 21, 1993  

SciTech Connect (OSTI)

S. 156 is a Bill to amend the Internal Revenue Code of 1986 with respect to energy credit. The proposed amendment discusses energy credit allowance against entire regular tax and alternative minimum tax and rules for the application of energy credit. Cross references and an effective date are given.

Not Available

1993-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average revenue map" 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

EERE: Weatherization and Intergovernmental Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Site Map to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Site Map on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Site Map on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Google Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Delicious Rank EERE: Weatherization and Intergovernmental Program - Site Map on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Site Map on AddThis.com... Site Map About Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

462

E-Print Network 3.0 - averaged pulsar profiles Sample Search...  

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

for: averaged pulsar profiles Page: << < 1 2 3 4 5 > >> 1 astroph9911319 Pulsar Astronomy ---2000 and Beyond Summary: with higher than average surface dipole magnetic fields....

463

E-Print Network 3.0 - average power ratio Sample Search Results  

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

a wind turbine Summary: of pairs of poles over the average power is also studied. Index Terms-- average wind power, battery... charging, permanent magnet synchronous machine. I....

464

E-Print Network 3.0 - annual average daily traffic Sample Search...  

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

Data Systems 2000. Annual Average Daily Truck Traffic on the California State... Lockout and Non-Lockout Weekdays Average Daily Traffic Volume (vehday) All Cars Trucks ......

465

E-Print Network 3.0 - average daily traffic Sample Search Results  

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

Data Systems 2000. Annual Average Daily Truck Traffic on the California State... Lockout and Non-Lockout Weekdays Average Daily Traffic Volume (vehday) All Cars Trucks...

466

Table 19. Average Price of U.S. Coal Imports  

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

Price of U.S. Coal Imports Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 19. Average Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 147.86 138.39 191.01 144.86 197.96 -26.8 Canada 147.86 138.39 191.00 144.86 197.95 -26.8 Mexico - - 286.23 - 286.23 - South America Total 75.29 80.74 86.52 77.20 87.17 -11.4 Argentina - - 504.70 - 504.70 - Colombia 74.87 80.74 83.03 76.96 85.25 -9.7 Peru 87.09 - - 87.09 - - Venezuela 91.81 - 122.01 91.81 112.61 -18.5 Europe Total - 136.50 137.33 136.50 146.31 -6.7

467

Climate: monthly and annual average atmospheric pressure GIS data at  

Open Energy Info (EERE)

atmospheric pressure GIS data at atmospheric pressure GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract):Atmospheric Pressure (kPa)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Atmospheric Pressure (kPa)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

468

Ensemble bayesian model averaging using markov chain Monte Carlo sampling  

SciTech Connect (OSTI)

Bayesian model averaging (BMA) has recently been proposed as a statistical method to calibrate forecast ensembles from numerical weather models. Successful implementation of BMA however, requires accurate estimates of the weights and variances of the individual competing models in the ensemble. In their seminal paper (Raftery etal. Mon Weather Rev 133: 1155-1174, 2(05)) has recommended the Expectation-Maximization (EM) algorithm for BMA model training, even though global convergence of this algorithm cannot be guaranteed. In this paper, we compare the performance of the EM algorithm and the recently developed Differential Evolution Adaptive Metropolis (DREAM) Markov Chain Monte Carlo (MCMC) algorithm for estimating the BMA weights and variances. Simulation experiments using 48-hour ensemble data of surface temperature and multi-model stream-flow forecasts show that both methods produce similar results, and that their performance is unaffected by the length of the training data set. However, MCMC simulation with DREAM is capable of efficiently handling a wide variety of BMA predictive distributions, and provides useful information about the uncertainty associated with the estimated BMA weights and variances.

Vrugt, Jasper A [Los Alamos National Laboratory; Diks, Cees G H [NON LANL; Clark, Martyn P [NON LANL

2008-01-01T23:59:59.000Z

469

Defect mapping system  

DOE Patents [OSTI]

Apparatus for detecting and mapping defects in the surfaces of polycrystalline materials in a manner that distinguishes dislocation pits from grain boundaries includes a laser for illuminating a wide spot on the surface of the material, a light integrating sphere with apertures for capturing light scattered by etched dislocation pits in an intermediate range away from specular reflection while allowing light scattered by etched grain boundaries in a near range from specular reflection to pass through, and optical detection devices for detecting and measuring intensities of the respective intermediate scattered light and near specular scattered light. A center blocking aperture or filter can be used to screen out specular reflected light, which would be reflected by nondefect portions of the polycrystalline material surface. An X-Y translation stage for mounting the polycrystalline material and signal processing and computer equipment accommodate rastor mapping, recording, and displaying of respective dislocation and grain boundary defect densities. A special etch procedure is included, which prepares the polycrystalline material surface to produce distinguishable intermediate and near specular light scattering in patterns that have statistical relevance to the dislocation and grain boundary defect densities. 20 figures.

Sopori, B.L.

1995-04-11T23:59:59.000Z

470

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Hydrogen Maps  

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

Hydrogen Maps Below are some examples of how geographic information system (GIS) modeling is used in hydrogen infrastructure, demand, market and resource analyses. The JPG images...

471

Wave maps on a wormhole  

E-Print Network [OSTI]

We consider equivariant wave maps from a wormhole spacetime into the three-sphere. This toy-model is designed for gaining insight into the dissipation-by-dispersion phenomena, in particular the soliton resolution conjecture. We first prove that for each topological degree of the map there exists a unique static solution (harmonic map) which is linearly stable. Then, using the hyperboloidal formulation of the initial value problem, we give numerical evidence that every solution starting from smooth initial data of any topological degree evolves asymptotically to the harmonic map of the same degree. The late-time asymptotics of this relaxation process is described in detail.

Piotr Bizo?; Micha? Kahl

2014-12-17T23:59:59.000Z

472

Arizona Map for Commercial Buildings  

Gasoline and Diesel Fuel Update (EIA)

styleseiasitewideF.css" rel"stylesheet" type"textcss" > Home > Households, Buildings & Industry > Background Information on CBECS > 2003 CBECS climate zone map corrections...

473

Fault Mapping | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Fault Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Fault Mapping Details Activities (2) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Stratigraphic/Structural: Locates active faults in the area of interest Hydrological: Can reveal whether faults are circulating hydrothermal fluids Thermal: Dictionary.png

474

map_legend  

Gasoline and Diesel Fuel Update (EIA)

c c Natural Gas Market Hub a Surface Congressional District (113th) Underground b Coal Mines U.S. States Map Legend County Boundary Power Plants K A B C E 0 G L H I J Biomass Coal Geothermal Market Hubs Transmission and Pipelines Hydro Natural Gas Other Fossil Gases Petroleum Pumped Storage Solar Wind Wood Petroleum Import Site f Northeast Home Heating Oil Reserve Site 4 j Petroleum Refinery h DOT NPMS Gas Transmission Pipeline Due to security constraints, only a single county's pipelines can be shown at a time for this layer. The natural gas interstate, intrastate, and gathering pipelines layer (see below) can be viewed across larger geographic areas, but is not as accurate or complete. DOT NPMS Hazardous Liquid Pipeline Hazardous liquids include crude oil, product, liquid petroleum gas, natural gas liquid, hydrogen gas,

475

SRS - Website Map  

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

1/2011 1/2011 SEARCH GO menu spacer SRS Home Savannah River Site Website Map About SRS Mission & Vision Where We Are SRS History Fact Sheets Tour SRS Contact SRS SRS Organizations Savannah River Nuclear Solutions, LLC (SRNS) Savannah River Remediation LLC (SRR) Savannah River Ecology Laboratory (SREL) USDA Forest Service - Savannah River Wackenhut Services, Inc. Mixed Oxide Fuel Fabrication Facility (MOX) Parsons Related Links & Resources Department of Energy (DOE) Department of Energy - Environmental Management (DOE-EM) National Nuclear Security Administration (NNSA) American Recovery & Reinvestment Act (ARRA) News News Releases Video Releases Fact Sheets Photo Gallery Speakers Media Contacts Business Opportunities Community Reuse Organization Technology Transfer Savannah River National Laboratory (SRNL)

476

Report Title: Mapping  

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

Title: Title: Mapping of Reservoir Properties and Facies Through Integration of Static and Dynamic Data Report Type: Final Technical Report Reporting Period Start Date: October 1, 2000 Reporting Period End Date: September 30, 2004 Principal Authors: Albert C. Reynolds, Dean S. Oliver, Yannong Dong, Ning Liu, Guohua Gao, Fengjun Zhang & Ruijian Li Date Report Issued: December 2004 DOE Award Number: DE-FC26-00BC15309 Petroleum Engineering Department The University of Tulsa 600 South College Avenue Tulsa, Oklahoma 74104 This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product,

477

Maestro: Replica-Aware Map Scheduling for MapReduce  

Science Journals Connector (OSTI)

MapReduce has emerged as a leading programming model for data-intensive computing. Many recent research efforts have focused on improving the performance of the distributed frameworks supporting this model. Many optimizations are network-oriented and ... Keywords: MapReduce, Hadoop, cloud computing, replication, scheduling

Shadi Ibrahim; Hai Jin; Lu Lu; Bingsheng He; Gabriel Antoniu; Song Wu

2012-05-01T23:59:59.000Z

478

Central American geologic map project  

SciTech Connect (OSTI)

During the Northeast Quadrant Panel meeting of the Circum-Pacific Map Project held in Mexico City, February 1985, Central American panel members proposed and adopted plans for compiling a geologic map of Central America, probably at a scale of 1:500,000. A local group with participants from each country was organized and coordinated by Rolando Castillo, director, Central American School of Geology, University of Costa Rica, for the geologic aspects, and Fernando Rudin, director, Geographic Institute of Costa Rica, for the topographic base. In 1956, the US Geological Survey published a geologic map of the region at a scale of 1:1 million. Subsequent topographic and geologic mapping projects have provided a large amount of new data. The entire area is now covered by topographic maps at a scale of 1:50,000, and these maps have been used in several countries as a base for geologic mapping. Another regional map, the Metallogenic Map of Central America (scale = 1:2 million), was published in 1969 by the Central American Research Institute for Industry (ICAITI) with a generalized but updated geologic base map. Between 1969 and 1980, maps for each country were published by local institutions: Guatemala-Belize at 1:500,000, Honduras at 1:500,000, El Salvador at 1:100,000, Nicaragua at 1:1 million, Costa Rica at 1:200,000, and Panama at 1:1 million. This information, in addition to that of newly mapped areas, served as the base for the Central American part of the Geologic-Tectonic Map of the Caribbean Region (scale = 1:2.5 million), published by the US Geological Survey in 1980, and also fro the Northeast Quadrant Maps of the Circum-Pacific Region. The new project also involves bathymetric and geologic mapping of the Pacific and Caribbean margins of the Central American Isthmus. A substantial amount of new information of the Middle America Trench has been acquired through DSDP Legs 67 and 84.

Dengo, G.

1986-07-01T23:59:59.000Z

479

United States- Land Based and Offshore Annual Average Wind Speed at 100 Meters  

Broader source: Energy.gov [DOE]

Full-size, high resolution version of the 100-meter land-based and offshore wind speed resource map.

480

GIS Mapping Technician Prince George  

E-Print Network [OSTI]

GIS Mapping Technician Prince George Salary $48,942.48 - $55,662.83 annually An excellent opportunity to apply your GIS mapping expertise BCTS was established in 2003 to offer fibre to the market Northern GIS Service Centre, a collaborative model where GIS resources are shared between four Business

Northern British Columbia, University of

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481

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" 1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Midwest",25.9,2272,1898,1372,912,762,551 "Midwest Divisions and States" "East North Central",17.9,2251,1869,1281,892,741,508 "Illinois",4.8,2186,1911,1451,860,752,571 "Michigan",3.8,1954,1559,962,729,582,359 "Wisconsin",2.3,2605,2091,1258,1105,887,534

482

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

3 Average Square Footage of West Homes, by Housing Characteristics, 2009" 3 Average Square Footage of West Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total West",24.8,1708,1374,800,628,506,294 "West Divisions and States" "Mountain",7.9,1928,1695,1105,723,635,415 "Mountain North",3.9,2107,1858,912,776,684,336 "Colorado",1.9,2082,1832,722,896,788,311 "Idaho, Montana, Utah, Wyoming",2,2130,1883,1093,691,610,354

483

Wind: wind power density maps at 50 m above ground and 1km resolution for  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Cuba. (Purpose): To provide information on the wind resource potential in Cuba. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 839.7 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments

484

Wind: wind power density maps at 50m above ground and 1km resolution for  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Raster GIS data, 50 m wind power density for Ghana. (Purpose): To provide information on the wind resource potential in Ghana. Source NREL Date Released September 02nd, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF Ghana GIS maps NREL SWERA UNEP wind Data application/zip icon Download Maps (zip, 661.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote

485

Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip  

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

5: March 22, 5: March 22, 2010 Average Vehicle Trip Length to someone by E-mail Share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Facebook Tweet about Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Twitter Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Google Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Delicious Rank Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Digg Find More places to share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on AddThis.com... Fact #615: March 22, 2010 Average Vehicle Trip Length According to the latest National Household Travel Survey, the average trip

486

Adaptive Composite Map Projections Bernhard Jenny  

E-Print Network [OSTI]

Adaptive Composite Map Projections Bernhard Jenny Abstract--All major web mapping services use.The proposed composite map projection combines several projections that are recommended in cartographic.The composite projection adapts the maps geometry to scale, to the maps height-to-width ratio

Jenny, Bernhard

487

Autodesk MapGuide Working with Resources  

E-Print Network [OSTI]

Autodesk MapGuide® Enterprise Working with Resources Autodesk MapGuide® Enterprise software has and the resource service API in Autodesk MapGuide Enterprise. The information in this paper is applicable to both the MapGuide Open Source and Autodesk MapGuide Enterprise versions of the platform. #12;AUTODESK MAPGUIDE

Ahmad, Sajjad

488

Linear efficient antialiased displacement and reflectance mapping  

Science Journals Connector (OSTI)

We present Linear Efficient Antialiased Displacement and Reflectance (LEADR) mapping, a reflectance filtering technique for displacement mapped surfaces. Similarly to LEAN mapping, it employs two mipmapped texture maps, which store the first two moments ... Keywords: BRDF, GPU, LEAN mapping, filtering, microfacet

Jonathan Dupuy; Eric Heitz; Jean-Claude Iehl; Pierre Poulin; Fabrice Neyret; Victor Ostromoukhov

2013-11-01T23:59:59.000Z

489

Mapping (USPTO) Patent Data using Overlays to Google Maps  

E-Print Network [OSTI]

The paper describes a technique to use patent information available online (at the US Patent and Trademark Office) for the generation of Google Maps that indicate both the quantity and quality of patents granted at the city level. The resulting maps are relevant for technological innovation policies and R&D management because the US market can be considered as the leading market for patenting and patent competition. Quantitative data is made available by the mapping routines for more detailed statistical analysis, and the non-parametric statistics for significance testing are specified. The new mapping approach is explored for the cases of the emerging technologies of "RNA interference" and "nanotechnology" as specific examples. Perspectives for further developments of this technique (other databases and network analysis of co-inventions) are specified.

Leydesdorff, Loet

2011-01-01T23:59:59.000Z

490

Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel  

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

5: April 28, 5: April 28, 2003 State Average Fuel Prices to someone by E-mail Share Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Facebook Tweet about Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Twitter Bookmark Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Google Bookmark Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Delicious Rank Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Digg Find More places to share Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on AddThis.com... Fact #265: April 28, 2003 State Average Fuel Prices The American Automobile Association tracks gasoline and diesel prices

491

Fact #715: February 20, 2012 The Average Age of Light Vehicles Continues to Rise  

Broader source: Energy.gov [DOE]

The average age for cars and light trucks continues to rise as consumers hold onto their vehicles longer. Between 1995 and 2011, the average age for cars increased by 32% from 8.4 years to 11.1...

492

The U.S. average retail price for on-highway diesel fuel rose...  

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

The U.S. average retail price for on-highway diesel fuel rose this week The U.S. average retail price for on-highway diesel fuel rose slightly to 3.90 a gallon on Monday. That's...

493

Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds  

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

1: April 18, 1: April 18, 2011 Average Truck Speeds to someone by E-mail Share Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Facebook Tweet about Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Twitter Bookmark Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Google Bookmark Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Delicious Rank Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Digg Find More places to share Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on AddThis.com... Fact #671: April 18, 2011 Average Truck Speeds The Federal Highway Administration studies traffic volume and flow on major

494

MAPS BETWEEN CLASSIFYING SPACES AND APPLICATIONS by  

E-Print Network [OSTI]

MAPS BETWEEN CLASSIFYING SPACES AND APPLICATIONS space map(BG, BH) can be reduced to the case of simply connected Lie groups. Th* *is reduc- tion method allows some applications. For example a homotopy classificatio* *n of self maps BG

Notbohm, Dietrich

495

Template:MapOverlay | Open Energy Information  

Open Energy Info (EERE)

MapOverlay Jump to: navigation, search Usage This template includes a "hidden" div containing a map displaying the set coordinates along with a Hide Map button. This is used to...

496

GIS Techniques for Mapping Groundwater Contamination Risk  

Science Journals Connector (OSTI)

The groundwater contamination risk map of a samplealluvial area was produced by using the IlwisGeographical Information System (GIS) to construct andto overlay thematic maps. The risk map has beenderived from the...

Daniela Ducci

1999-11-01T23:59:59.000Z

497

Denver Basin Map | Open Energy Information  

Open Energy Info (EERE)

Map Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Denver Basin Map Abstract This webpage contains a map of the Denver Basin. Published Colorado...

498

Optical Properties of Plasmas Based on an Average-Atom Walter Johnson, Notre Dame University  

E-Print Network [OSTI]

Optical Properties of Plasmas Based on an Average-Atom Model Walter Johnson, Notre Dame University of Plasmas Based on an Average-Atom Model Walter Johnson, Notre Dame University Claude Guet, CEA/DAM Ile de of Plasmas Based on an Average-Atom Model Walter Johnson, Notre Dame University Claude Guet, CEA/DAM Ile de

Johnson, Walter R.

499

A Structural Analysis of Vehicle Design Responses to Corporate Average Fuel Economy Policy  

E-Print Network [OSTI]

sensitive to fuel prices than to CAFE standards, with the 2007 average fuel price implying that current CAFE09-0588 A Structural Analysis of Vehicle Design Responses to Corporate Average Fuel Economy Policy, Michalek, and Hendrickson 1 ABSTRACT The U.S. Corporate Average Fuel Economy (CAFE) regulations, which aim

Michalek, Jeremy J.

500

MAPPING CLIMATE CHANGE EXPOSURES, VULNERABILITIES,  

E-Print Network [OSTI]

MAPPING CLIMATE CHANGE EXPOSURES, VULNERABILITIES, AND ADAPTATION TO PUBLIC HEALTH RISKS's California Climate Change Center JULY 2012 CEC5002012041 Prepared for: California Energy Commission of California. #12; ii ABSTRACT This study reviewed first available frameworks for climate change adaptation