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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

Electric Sales, Revenue, and Average Price 2011 - Energy Information...  

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

All Electricity Reports Electric Sales, Revenue, and Average Price With Data for 2011 | Release Date: September 27, 2012 | Next Release Date: September, 2013 Previous editions...

2

Chapter 5. Retail Sales, Revenue, and Average Retail Price of ...  

U.S. Energy Information Administration (EIA)

106 U.S. Energy Information Administration/Electric Power Monthly June 2012 Chapter 5. Retail Sales, Revenue, and Average Retail Price of Electricity

3

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Class of Ownership, Number of Consumers, Sales, Revenue, and Average Retail Price for Power Marketers and Energy Service Providers by State: T12:

4

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, ... Trade and Reliability; All Reports ‹ See All Electricity Reports

5

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

2001-2010 are Excel zipped files & 1994-2000 are PDF files ... and Average Retail Price for Power Marketers and ... U.S. Department of Energy USA.gov FedStats.

6

Electric $ales and revenue 1995  

Science Conference Proceedings (OSTI)

This publication provides information on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers in the United States.

NONE

1996-12-01T23:59:59.000Z

7

Electric sales and revenue: 1993  

SciTech Connect

The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour data provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1993. Operating revenue includes energy charges, demand charges, consumer service charges, environmental surcharges, fuel adjustments, and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. Because electric rates vary based on energy usage, average revenue per kilowatthour are affected by changes in the volume of sales. The sales of electricity, associated revenue, and average revenue per kilowatthour data provided in this report are presented at the national, Census division, State, and electric utility levels.

Not Available

1995-01-01T23:59:59.000Z

8

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

Wind Powering America (EERE)

and atmospheric effects may cause the wind speed to depart from the map estimates. Expert advice should be sought in placing wind turbines and estimating their energy production....

9

Electric sales and revenue 1996  

Science Conference Proceedings (OSTI)

Information is provided on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers throughout the US. The data provided in the Electric Sales and Revenue are presented at the national, Census division, State, and electric utility levels. The information is based on annual data reported by electric utilities for the calendar year ending December 31, 1996. 16 figs., 20 tabs.

NONE

1997-12-01T23:59:59.000Z

10

Electric sales and revenue 1992, April 1994  

SciTech Connect

The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1992. The electric revenue reported by each electric utility includes the applicable revenue from kilowatthours sold; revenue from income; unemployment and other State and local taxes; energy, demand, and consumer service charges; environmental surcharges; franchise fees; fuel adjustments; and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. The sales of electricity, associated revenue, and average revenue per kilowatthour provided in this report are presented at the national, Census division, State, and electric utility levels.

Not Available

1994-04-20T23:59:59.000Z

11

Expenses Revenues  

NLE Websites -- All DOE Office Websites (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

12

Electric sales and revenue 1997  

Science Conference Proceedings (OSTI)

The Electric Sales and Revenue is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. Information is provided on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers throughout the US. The data provided in the Electric Sales and Revenue are presented at the national, Census division, State, and electric utility levels. The information is based on annual data reported by electric utilities for the calendar year ending December 31, 1997. 16 figs., 17 tabs.

NONE

1998-10-01T23:59:59.000Z

13

Electric sales and revenue 1994  

Science Conference Proceedings (OSTI)

The Electric Sales and Revenue is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. Information is provided on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers throughout the United States. The data provided in the Electric Sales and Revenue are presented at the national, Census division, State, and electric utility levels. The information is based on annual data reported by electric utilities for the calendar year ending December 31, 1994.

NONE

1995-11-01T23:59:59.000Z

14

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

15

OPEC Revenues Fact Sheet  

Reports and Publications (EIA)

This report includes estimates of OPEC net oil export revenues, based on historical estimates and forecasts from the latest EIA Short-Term Energy Outlook.

2013-06-22T23:59:59.000Z

16

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)

17

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)

18

Background - Revenue Collection  

NLE Websites -- All DOE Office Websites (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.

19

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

20

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 an era of "industrial-capitalism" through its business-friendly policies. The Republicans reactively, rather than proactively, inaugurated a system of national internal taxation to meet the unexpected and unprecedented expenses incurred in fighting the war. Further, by reviewing the tariff history of the antebellum era, I find that the revenue imperative, more than a desire to impose a "protectionist" or "free trade" doctrine, motivated changes in antebellum tariff legislation.

Flaherty, Jane

2000-01-01T23:59:59.000Z

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.


21

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

22

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":""}]}

23

Forecasting for airline network revenue management : revenue and competitive impacts  

E-Print Network (OSTI)

Airline revenue management entails protecting enough seats for late-booking, high-fare passengers while still selling seats which would have otherwise gone empty at discounted fares to earlier-booking customers. In the ...

Zickus, Jeffrey S.

1998-01-01T23:59:59.000Z

24

Definition: Energy Revenue | Open Energy Information  

Open Energy Info (EERE)

Revenue Revenue generated through the competitive energy market by buying power at low prices and selling at high prices.1 References SmartGrid.gov 'Description of Benefits'...

25

Private Activity Revenue Bonds (Maryland)  

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

26

Revenue management: models and methods  

Science Conference Proceedings (OSTI)

Revenue management is the collection of strategies and tactics firms use to scientifically manage demand for their products and services. The practice has grown from its origins in airlines to its status today as a mainstream business practice ...

Kalyan T. Talluri; Garrett J. van Ryzin; Itir Z. Karaesmen; Gustavo J. Vulcano

2009-12-01T23:59:59.000Z

27

Applying the Inverse Average Magnitude Squared Coherence Index for Determining Order-Chaos Transition in a System Governed by Hénon Mapping Dynamics  

E-Print Network (OSTI)

The quantitative determination of the order-chaos transition in a nonlinear dynamical system described by Hénon mapping defined as x[n + 1] = 1.0 ? A ? x[n] 2 + B ? y[n],y[n + 1] = B ? x[n], where B = 0.3, and A is an adjustable control parameter, was made. This was achieved by applying the Inverse Average Magnitude-Squared Coherence Index (IAMSCI). This method is based on the Welch average periodogram technique and it has the advantage respect to nonlinear dynamical methods that it may be applied to any stationary signal by using discrete Fourier transform (DFT) representation which allows to operate on a short discrete-time series. Its effectiveness was demonstrated by comparing the results obtained by applying IAMSCI

Rubén Orozco Morales

2008-01-01T23:59:59.000Z

28

NUFinancials Revenue / Cash Receipt Ticket (CRT)  

E-Print Network (OSTI)

· Troubleshoot CRT errors Related Resources Refer to your revenue budget ­ or to the Office of Budget

Shull, Kenneth R.

29

REVENUE  

E-Print Network (OSTI)

Business intelligence is increasingly recognized as a strategic imperative by sophisticated enterprises around the world. The ability to access, analyze, and share data enables reduced costs, increased customer loyalty, and improved visibility throughout a complex business environment. Business Objects continues to achieve success by making business intelligence its core competency and sole focus. This dedication fosters the most innovative products, efficient service, and comprehensive solutions. Our industry leadership is reflected in the quality of customers who rely on

unknown authors

2001-01-01T23:59:59.000Z

30

Definition: Ancillary Services Revenue | Open Energy Information  

Open Energy Info (EERE)

Revenue generated through the competitive ancillary services market for spinning reserves or frequency regulation.1 View on Wikipedia Wikipedia Definition Related Terms...

31

IRS Internal Revenue Bulletin | Data.gov  

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

digital@treasury.gov Unique Identifier TREAS-4431 Public Access Level public Data Dictionary http:www.irs.govapppicklistlistinternalRevenueBulletins.html Data Download URL...

32

Algorithms for revenue metering and their evaluation.  

E-Print Network (OSTI)

??Power components are measured for revenue metering and other purposes such as power control and power factor compensation. The definitions of the power components (active,… (more)

Martinez-Lagunes, Rodrigo

2012-01-01T23:59:59.000Z

33

Robust Controls for Network Revenue Management  

Science Conference Proceedings (OSTI)

Revenue management models traditionally assume that future demand is unknown but can be described by a stochastic process or a probability distribution. Demand is, however, often difficult to characterize, especially in new or nonstationary markets. ... Keywords: network, regret, revenue management, robust optimization, yield management

Georgia Perakis; Guillaume Roels

2010-01-01T23:59:59.000Z

34

Revenue Management and E-Commerce  

Science Conference Proceedings (OSTI)

We trace the history of revenue management in an effort to illustrate a successful e-commerce model of dynamic, automated sales. Our discourse begins with a brief overview of electronic distribution as practiced in the airline industry, emphasizing the ... Keywords: Revenue management; e-commerce; airline industry

E. Andrew Boyd; Ioana C. Bilegan

2003-10-01T23:59:59.000Z

35

Railway Revenue Management: Overview and Models  

E-Print Network (OSTI)

The railway industry offers similar revenue management opportunities to those found in the airline industry. The railway industry caters for the delivery and management of cargo as well as the transport of passengers. Unlike the airline industry, the railway industry has seen relatively little attention to revenue management problems. We provide an overview of the published literature for both passenger and freight rail revenue management. We include a summary of the some the available models and include some possible extensions. From the existing literature and talks with industry, it is clear that that there is room to exploit revenue management techniques in the railway industry, an industry that has revenues of $60 billion in the US and promises huge growth in Europe in the forthcoming years.

Er Armstrong; Joern Meissner

2010-01-01T23:59:59.000Z

36

Revenue in Truly Combinatorial Auctions and Adversarial Mechanism Design  

E-Print Network (OSTI)

Little is known about generating revenue in UNRESTRICTED combinatorial auctions. (In particular, the VCG mechanism has no revenue guarantees.) In this paper we determine how much revenue can be guaranteed in such auctions. ...

Micali, Silvio

37

World Bank Good Practice Guidelines: Financial Analysis of Revenue...  

Open Energy Info (EERE)

of Revenue Generating-Entities Jump to: navigation, search Tool Summary Name: World Bank Good Practice Guidelines: Financial Analysis of Revenue Generating-Entities Agency...

38

A & N Electric Coop (Maryland) EIA Revenue and Sales - August...  

Open Energy Info (EERE)

Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for August 2008. Monthly Electric Utility Sales and Revenue Data Short...

39

A & N Electric Coop (Maryland) EIA Revenue and Sales - February...  

Open Energy Info (EERE)

Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for February 2009. Monthly Electric Utility Sales and Revenue Data Short...

40

A & N Electric Coop (Virginia) EIA Revenue and Sales - February...  

Open Energy Info (EERE)

Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for February 2009. Monthly Electric Utility Sales and Revenue Data Short...

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

A & N Electric Coop (Virginia) EIA Revenue and Sales - August...  

Open Energy Info (EERE)

Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for August 2008. Monthly Electric Utility Sales and Revenue Data Short...

42

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

Open Energy Info (EERE)

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...

43

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

Open Energy Info (EERE)

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...

44

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

Open Energy Info (EERE)

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...

45

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

Open Energy Info (EERE)

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...

46

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

Open Energy Info (EERE)

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...

47

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

Open Energy Info (EERE)

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...

48

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

Open Energy Info (EERE)

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...

49

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

Open Energy Info (EERE)

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...

50

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

Open Energy Info (EERE)

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...

51

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

Open Energy Info (EERE)

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...

52

Single-Leg Airline Revenue Management With Overbooking  

E-Print Network (OSTI)

models that give upper and lower bounds on its optimal expected net revenue. ... then and now, in airline revenue management is to determine how to reserve ...

53

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

Open Energy Info (EERE)

navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Central Illinois Pub Serv Co for December 2008. Monthly Electric Utility Sales and Revenue Data Short...

54

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

Open Energy Info (EERE)

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...

55

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

56

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

57

Maps  

NLE Websites -- All DOE Office Websites (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

58

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

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

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

59

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"

60

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

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.


61

Governmental costs and revenues associated with geothermal energy development in Imperial County. Special Publication 3241  

DOE Green Energy (OSTI)

This study estimates the cost and revenue impacts to local governments of three geothermal energy growth scenarios in Imperial County. The level of geothermal energy potential for the three development scenarios tested is 2,000, 4,000 and 8,000 MW--enough power to serve 270,000 to 1,000,000 people. The government agencies involved do not expect any substantial additional capital costs due to geothermal energy development; therefore, average costing techniques have been used for projecting public service costs and government revenues. The analysis of the three growth scenarios tested indicates that county population would increase by 3, 7 and 19 percent and assessed values would increase by 20, 60, and 165 percent for Alternatives No. 1, No. 2 and No. 3 respectively. Direct and indirect effects would increase new jobs in the county by 1,000, 3,000 and 8,000. Government revenues would tend to exceed public service costs for county and school districts, while city costs would tend to exceed revenues. In each of the alternatives, if county, cities and school districts are grouped together, the revenues exceed costs by an estimated $1,600 per additional person either directly or indirectly related to geothermal energy development in the operational stages. In the tenth year of development, while facilities are still being explored, developed and constructed, the revenues would exceed costs by an approximate $1,000 per additional person for each alternative. School districts with geothermal plants in their boundaries would be required by legislation SB 90 to reduce their tax rates by 15 to 87 percent, depending on the level of energy development. Revenue limits and school taxing methods will be affected by the Serrano-Priest decision and by new school legislation in process.

Goldman, G.; Strong, D.

1977-10-01T23:59:59.000Z

62

Performance of Dynamic Programming methods in airline Revenue Management  

E-Print Network (OSTI)

This thesis evaluates the performance of Dynamic Programming (DP) models as applied to airline Revenue Management (RM) compared to traditional Revenue Management models like EMSRb as DP models offer a theoretically attractive ...

Diwan, Sarvee

2010-01-01T23:59:59.000Z

63

Airline revenue management methods for less restricted fare structures  

E-Print Network (OSTI)

Traditional Revenue Management systems were developed to maximize airlines' revenues in restricted fare product environments, based on the assumption of independence of demand by fare class. With the rapid emergence of ...

Cléaz-Savoyen, Richard L

2005-01-01T23:59:59.000Z

64

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

Open Energy Info (EERE)

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...

65

Revenue model innovations in the Chinese online game market  

Science Conference Proceedings (OSTI)

This paper examines how incumbent firms with different levels of market dominance respond to revenue model innovation, i.e. the process by which revenues are generated and captured, and investigates the relationship between market dominance and different ... Keywords: chinese online game market, evolutionary model innovation, levels of market dominance, revenue model innovation, revolutionary model innovation

Jessie Qun Ren; Philip Hardwick

2008-10-01T23:59:59.000Z

66

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

DOE Green Energy (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

67

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,"-"

68

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,"-"

69

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,"-"

70

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,"-"

71

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,"-"

72

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,"-"

73

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,"-"

74

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,"-"

75

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,"-"

76

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,"-"

77

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,"-"

78

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,"-"

79

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,"-"

80

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,"-"

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81

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

82

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,"-"

83

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,"-"

84

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,"-"

85

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,"-"

86

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

87

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,"-"

88

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,"-"

89

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,"-"

90

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,"-"

91

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,"-"

92

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,"-"

93

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,"-"

94

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,"-"

95

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,"-"

96

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,"-"

97

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,"-"

98

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,"-"

99

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,"-"

100

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,"-"

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they are not comprehensive nor are they the most current set.
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101

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,"-"

102

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,"-"

103

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,"-"

104

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,"-"

105

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,"-"

106

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,"-"

107

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,"-"

108

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,"-"

109

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,"-"

110

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,"-"

111

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,"-"

112

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

113

"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

114

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

Open Energy Info (EERE)

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:...

115

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

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

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

116

Smoke-free law did not affect revenue from gaming in Delaware  

E-Print Network (OSTI)

ordinances increase restaurant values. Contemporary Economicor a positive effect on restaurant and bar revenues, 4bingo revenue, 5 and restaurant values. 6 In response,

Mandel, Lev L MSc.; Alamar, Benjamin Ph.D.; Glantz, Stanton A. Ph.D.

2005-01-01T23:59:59.000Z

117

Local Government Revenue Bonds (Montana) | Department of Energy  

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

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

118

Performance of multiple cabin optimization methods in airline revenue management  

E-Print Network (OSTI)

Although many airlines offer seats in multiple cabins (economy vs. premium classes) with different service quality, previous work on airline revenue management has focused on treating the cabins separately. In this thesis, ...

Lepage, Pierre-Olivier

2013-01-01T23:59:59.000Z

119

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

120

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

Open Energy Info (EERE)

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...

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

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

Open Energy Info (EERE)

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...

122

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

Open Energy Info (EERE)

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...

123

Industrial Revenue Bond Issuance Cost Assistance (Wisconsin) | Department  

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

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. §

124

Average Commercial Price  

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

Residential Price Average Commercial Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

125

AVERAGE SHIFTED HISTOGRAM  

Science Conference Proceedings (OSTI)

... LET YPPF = XCDF LET XPPF = YCDF. Default: None Synonyms: ASH is a synonym for the AVERAGE SHIFTED HISTOGRAM command. ...

2010-12-06T23:59:59.000Z

126

Revenue Management: A Real Options Approach  

E-Print Network (OSTI)

case a subtle but noticeable upward trend in the average rental price is observed. In any event. The active management typically occurs through managerial levers such as price, promotion or availabil- ity acceptable prices and inventory release quantities (number of cars available for rent at a given price

Marcotte, Patrice

127

Effect of Corruption on Tax Revenues in the Middle East  

E-Print Network (OSTI)

This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the authors and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the authors and are published to elicit comments and to further debate. This study estimates the impact of corruption on the revenue-generating capacity of different tax categories in the Middle East. We find that the low revenue collection as a share of GDP there compared to other middle-income regions is due in part to corruption, and certain taxes are more affected than others. Taxes that require frequent interaction between the tax authority and individuals, such as taxes on international trade, seem to be more affected by corruption than most other types of taxation. This suggests that if governments need to raise more tax revenues in a way that minimizes distortions and maximizes social welfare, they should implement reforms that either reduce corruption or raise revenues from tax categories that are less susceptible to corruption. Possible reforms of the revenue system and

Patrick A. Imam; Davina F. Jacobs; International Monetary; Fund Wp; Prepared Patrick; A. Imam; Davina F. Jacobs; Thanos Catsambas

2007-01-01T23:59:59.000Z

128

Microsoft Word - CLPUD Revenue Metering CX.doc  

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

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

129

papers are available from the author. Reviews, Reputation, and Revenue: The Case of Yelp.com  

E-Print Network (OSTI)

Do online consumer reviews affect restaurant demand? I investigate this question using a novel dataset combining reviews from the website Yelp.com and restaurant data from the Washington State Department of Revenue. Because Yelp prominently displays a restaurant's rounded average rating, I can identify the causal impact of Yelp ratings on demand with a regression discontinuity framework that exploits Yelp?s rounding thresholds. I present three findings about the impact of consumer reviews on the restaurant industry: (1) a one-star increase in Yelp rating leads to a 5-9 percent increase in revenue, (2) this effect is driven by independent restaurants; ratings do not affect restaurants with chain affiliation, and (3) chain restaurants have declined in market share as Yelp penetration has increased. This suggests that online consumer reviews substitute for more traditional forms of reputation. I then test whether consumers use these reviews in a way that is consistent with standard learning models. I present two additional findings: (4) consumers do not use all available information and are more responsive to quality changes that are more visible and (5) consumers respond more strongly when a rating contains more information. Consumer response to a restaurant?s average rating is affected by the number of reviews and whether the reviewers are certified as “elite ” by Yelp, but is unaffected by the size of the reviewers ? Yelp friends network. Harvard Business School,

Michael Luca; Michael Luca

2011-01-01T23:59:59.000Z

130

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]

131

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]

132

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

133

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

134

The Transportation Revenue Estimator and Needs Determination System (TRENDS) Model  

E-Print Network (OSTI)

.......................................................... 15 3.3 Indexing the Motor Fuels Tax, inflation rates, taxes, fees and other elements. The output is a set of tables and graphs showing a forecast................................................................................................. 12 TRENDS Model Revenue Enhancements Tab 3.1 State Gasoline and Diesel Fuel Variables

135

Total revenues up, profits down for OGJ400  

SciTech Connect

After moving up sharply the previous 2 years, profits for the biggest 400 U.S. public oil and gas companies sagged in fiscal 1989. The total: $20.34 billion, down 8.6% from 1988. Revenues, however, gained 6.1% to $459.2 billion. Company-by-company financial results and operating statistics appear in this report.

Beck, R.J.; Biggs, J.B.

1990-10-08T23:59:59.000Z

136

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)

137

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

138

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

139

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

140

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

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.


141

Non-linear revenue creating business platform for IT service companies using cloud computing  

E-Print Network (OSTI)

The Indian Information Technology (IT) & Business process outsourcing (BPO) companies are going through an inflection point. They have been growing revenue by over 20% on a yearly basis for the last decade. This revenue ...

Sinha, Prasanta, S.M. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

142

A & N Electric Coop (Virginia) EIA Revenue and Sales - July 2008...  

Open Energy Info (EERE)

Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for July 2008. Monthly Electric Utility Sales and Revenue Data Short Name...

143

A & N Electric Coop (Maryland) EIA Revenue and Sales - June 2008...  

Open Energy Info (EERE)

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...

144

A & N Electric Coop (Maryland) EIA Revenue and Sales - July 2008...  

Open Energy Info (EERE)

Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for A & N Electric Coop for July 2008. Monthly Electric Utility Sales and Revenue Data Short Name...

145

Capacity control in network revenue management : clustering and risk-aversion  

E-Print Network (OSTI)

Network revenue management is the practice of using optimal decision policies to increase revenues by controlling limited quantities of multiple resources' availability and prices over finite time. It is widely practiced ...

Park, Joongwoo Brian

2010-01-01T23:59:59.000Z

146

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

147

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

148

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]

149

Revenue forecasting using a least-squares support vector regression model in a fuzzy environment  

Science Conference Proceedings (OSTI)

Revenue forecasting is difficult but essential for companies that want to create high-quality revenue budgets, especially in an uncertain economic environment with changing government policies. Under these conditions, the subjective judgment of decision ... Keywords: Genetic algorithms, Least-squares support vector regression, Membership function, Revenue forecasting

Kuo-Ping Lin; Ping-Feng Pai; Yu-Ming Lu; Ping-Teng Chang

2013-01-01T23:59:59.000Z

150

"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

151

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.

152

Revenues from Ancillary Services and the Value of Operational Flexibility  

Science Conference Proceedings (OSTI)

The movement toward competitive regional wholesale power markets is creating the requirement and opportunity for generators to sell ancillary services in addition to energy. Calculation of revenues and net income from these sources is critical to assessing asset values, evaluating investments in order to obtain greater operating flexibility, and determining whether to retire or mothball units. This report reviews the status of ancillary services market development in the United States and Canada, and dem...

2002-12-02T23:59:59.000Z

153

DOE Average Results  

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

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

154

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

155

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"

156

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]

157

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

158

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]

159

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

160

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

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

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

162

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

163

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

164

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

165

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"

166

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]

167

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]

168

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

169

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

170

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

171

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

172

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

173

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]

174

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

175

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]

176

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

177

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]

178

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]

179

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]

180

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]

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

Census Division Number of Average Monthly Average Retail Price...  

Gasoline and Diesel Fuel Update (EIA)

Average Monthly Average Retail Price Average Monthly Bill State Consumers Consumption (kWh) (Cents per Kilowatthour) (Dollar and cents) New England 34,271 67,907 12.55 8,520.25...

182

Commercial national accounts program is a gas industry revenue builder  

SciTech Connect

The need for gas distributors to implement revenue-generating strategies is clearly evident in the commercial sector - their fastest growing market. One strategy is A.G.A.'s commercial national accounts marketing program, designed to establish working relationships with national and regional food, hotel, and retail chains and with the firms that design energy systems for them. The program supplies these chains with information on gas industry services and research aimed at increasing energy utilization efficiency. Regular communications and coordinated sales calls by gas utility executives on chain headquarters often produce increased gas sales, even of traditionally all-electric chains, as illustrated by several case histories.

Moskitis, T.L.

1984-04-01T23:59:59.000Z

183

The Current and Historical Monthly Retail Sales, Revenues and...  

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

(MWh)","Other Sales (MWh)","All Sector Sales (MWh)","Average Retail Price Residential (ckWh)","Average Retail Price Commercial (ckWh)","Average Retail Price Industrial (c...

184

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

185

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

186

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"

187

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

188

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

189

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

190

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

191

Flash2007-33RevenueTierDiscounts.rtf  

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

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

192

Maximising Revenue in the Airline Industry Under One-Way Pricing  

E-Print Network (OSTI)

Apr 3, 2003 ... Maximising Revenue in the Airline Industry Under One-Way Pricing. Miguel F Anjos (anjos ***at*** stanfordalumni.org) Russell C H Cheng ...

193

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

194

Maximizing Cloud Providers Revenues via Energy Aware Allocation Policies  

E-Print Network (OSTI)

Cloud providers, like Amazon, offer their data centers' computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but also increases the costs of running the data center itself. This paper addresses the problem of maximizing the revenues of Cloud providers by trimming down their electricity costs. As a solution allocation policies which are based on the dynamic powering servers on and off are introduced and evaluated. The policies aim at satisfying the conflicting goals of maximizing the users' experience while minimizing the amount of consumed electricity. The results of numerical experiments and simulations are described, showing that the proposed scheme performs well under different traffic conditions.

Mazzucco, Michele; Deters, Ralph

2011-01-01T23:59:59.000Z

195

Carbon Tax Revenue and the Budget Deficit: A Win-Win-Win Solution?  

E-Print Network (OSTI)

Bush-era tax cuts are scheduled to expire at the end of 2012, leading to interest in raising revenue through a carbon tax. This revenue could be used to either cut other taxes or to avoid cuts in Federal programs. There ...

Rausch, Sebastian

196

Pareto-improving and revenue-neutral congestion pricing schemes in two-mode traffic networks  

Science Conference Proceedings (OSTI)

This paper studies a Pareto-improving and revenue-neutral congestion pricing scheme on a simple two-mode (highway and transit) network: this scheme aims at simultaneously improving system performance, making every individual user better off, and having ... Keywords: Congestion pricing, Pareto-improving, Revenue-neutral, Traffic equilibrium, Two-mode network

Yang Liu; Xiaolei Guo; Hai Yang

2009-04-01T23:59:59.000Z

197

Carlson Rezidor Hotel Group Maximizes Revenue Through Improved Demand Management and Price Optimization  

Science Conference Proceedings (OSTI)

Under changing market conditions for the hospitality industry, the Carlson Rezidor Hotel Group CRHG collaborated with JDA Software Group to use operations research to drive higher revenue for its hoteliers and to stay ahead of the competition. This highly ... Keywords: competitor prices, demand forecasting, hospitality, hotel, price elasticity, price optimization, revenue management

Pelin Pekgün; Ronald P. Menich; Suresh Acharya; Phillip G. Finch; Frederic Deschamps; Kathleen Mallery; Jim Van Sistine; Kyle Christianson; James Fuller

2013-01-01T23:59:59.000Z

198

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

Wind Powering America (EERE)

80 m 01-APR-2011 2.1.1 Wind Speed ms >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for...

199

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

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

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

200

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

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

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

202

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

203

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

204

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

205

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

206

Analysis of refiners' total barrel costs and revenues from the sale of petroleum products, 1976 to 1979  

SciTech Connect

In this report, the Economic Regulatory Administration has evaluated refiners' costs and revenues from the sale of major petroleum products from July 1976 through December 1979. This report represents a continuing effort to assess No. 2 heating oil prices and margins in that it updates prior middle distillate studies through March 1980. The analysis examines selling prices and costs associated with each major petroleum product category and a combination of petroleum products (total barrel) from a sample of nine refiners. The total barrel approach was adopted to reduce distortions caused by varying methods of allocation of costs among regulated and unregulated products by refiners. This report determines the extent to which increased costs were recovered on controlled products and whether refiners obtained greater cost recoupment on decontrolled products than would have been allowed under continued controls. The principal methods of measurement used to evaluate product pricing levels for the nine refiners surveyed were cost recoupment (Chapter III), gross margins (Chapter IV), and net margins (Chapter V). Gross margins were derived by subtracting average crude oil costs from average product selling prices for individual product categories and the total barrel. Net margins were derived by subtracting average crude oil costs as well as average marketing, manufacturing, and purchased product costs from average selling prices for individual product categories and the total barrel.

1980-11-01T23:59:59.000Z

207

Grid-Averaged Surface Fluxes  

Science Conference Proceedings (OSTI)

This study examines the inadequacies of formulations for surface fluxes for use in numerical models of atmospheric flow. The difficulty is that numerical models imply spatial averaging over each grid area. Existing formulations am based on the ...

L. Mahrt

1987-08-01T23:59:59.000Z

208

High average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduces the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, Thomas P. (Pleasanton, CA)

1991-01-01T23:59:59.000Z

209

Tradeoffs between revenue enhancements and emissions reductions with energy storage-coupled photovoltaics  

E-Print Network (OSTI)

Energy storage has the potential to dramatically change the operation of photovoltaics by allowing for a delay between generation and use. This flexibility has the potential to impact both the revenue from generating ...

Heidel, Timothy David

2009-01-01T23:59:59.000Z

210

Hybrid forecasting for airline revenue management in semi-restricted fare structures  

E-Print Network (OSTI)

In recent years, the airline industry has seen diminished performance of traditional Revenue Management (RM) systems largely due to the growth of Low Cost Carriers and the increased use of their "simplified" fare structures. ...

Reyes, Michael H. (Michael Hamilton)

2006-01-01T23:59:59.000Z

211

The value of revenue management innovation in a competitive airline industry  

E-Print Network (OSTI)

The value of revenue management to the airlines has been amply demonstrated, both by industry experience and in simulation studies of the reservation process. However, there have been no attempts to determine if the benefits ...

Wilson, John L.

1995-01-01T23:59:59.000Z

212

"Case Name","CO2 Fees",,"Cap and Trade","Fee/Allowance Revenue...  

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

"Table 1. CO2 FeeCap and Trade Runs for AEO Supplement" "Case Name","CO2 Fees",,"Cap and Trade","FeeAllowance Revenue Treatment",,,"Offsets" ,"Start ()","Real Rate of...

213

BrownMap: enforcing power budget in shared data centers  

Science Conference Proceedings (OSTI)

In this work, we investigate mechanisms to ensure that a shared data center can operate within a power budget, while optimizing a global objective function(e.g., maximize the overall revenue earned by the provider). We present the BrownMap methodology ...

Akshat Verma; Pradipta De; Vijay Mann; Tapan Nayak; Amit Purohit; Gargi Dasgupta; Ravi Kothari

2010-11-01T23:59:59.000Z

214

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

215

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

Science Conference Proceedings (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

216

Core Measure Average KTR Results  

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

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

217

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 .........................................................................

218

Statistical recoupling: A new way to break the link between electric-utility sales and revenues  

SciTech Connect

In 1991, US electric utilities spent almost $1.8 billion on demand-side management (DSM) programs. These programs cut peak demands 5% and reduced electricity sales 1% that year. Utility projections suggest that these reductions will increase to 9% and 3%, respectively, by the year 2001. However, utility DSM efforts vary enormously across the country, concentrated in a few states along the east and west coasts and the upper midwest. To some extent, this concentration is a function of regulatory reforms that remove disincentives to utility shareholders for investments in DSM programs. A key component of these reforms is recovery of the net lost revenues caused by utility DSM programs. These lost revenues occur between rate cases when a utility encourages its customers to improve energy efficiency and cut demand. The reduction in sales means that the utility has less revenue to cover its fixed costs. This report describes a new method, statistical recoupling (SR), that addresses this net-lost-revenue problem. Like other decoupling approaches, SR breaks the link between electric-utility revenues and sales. Unlike other approaches, SR minimizes changes from traditional regulation. In particular, the risks of revenue swings associated with year-to-year changes in weather and the economy remain with the utility under SR. Statistical recoupling uses statistical models, based on historical data, that explain retail electricity sales as functions of the number of utility customers, winter and summer weather, the condition of the local economy, electricity price, and perhaps a few other key variables. These models, along with the actual values of the explanatory variables, are then used to estimate ``allowed`` electricity sales and revenues in future years.

Hirst, E.

1993-09-01T23:59:59.000Z

219

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

Science Conference Proceedings (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

220

EXPENDITURES General Fund Expenditures-2.0 % Page 12 NON-GENERAL FUND REVENUES  

E-Print Network (OSTI)

Key to revenue trend indicators: ?NEUTRAL ? = Variance of-1 % to +2 % compared to projections. ?POSITIVE ? = Positive variance of>+2 % compared to projections. ?WARNING ? = Negative variance of-1 % to-4 % compared to projections. ?NEGATIVE ? = Negative variance of>-4 % compared to projections. 1 First Quarter 2013- May 2013CITY FINANCIAL OVERVIEW EXECUTIVE SUMMARY Total General Fund revenue receipts for the first quarter of 2013, in the amount of $4,175,309, are above the projection by $172,955, or 4.3%. Total General Fund expenditures, in the amount of $4,508,707, are below the projection by $92,764, or 2.0%. Street Fund revenue receipts for the first quarter of 2013, including transfers in, total $511,302 and are $3,654, or 0.7%, above the projection. Street Fund expenditures, including transfers out, total $460,168 and are $19,734, or 4.1%, below the projection. Surface Water Utility Fund (SWM) revenue receipts for the first quarter of 2013 totaling $114,495 are $42,761, or 59.6%, above the projection. SWM expenditures total $691,401 and are $90,757, or 15.1%, above the projection. Real Estate Excise Tax (REET) revenue receipts for the first quarter of 2013 totaling $231,011 are $7,274, or 3.3%, ahead of the projection and

unknown authors

2013-01-01T23:59:59.000Z

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

Revenue ruling 73-538: the service's assault on percentage depletion for ''D'' miners  

SciTech Connect

In this article, the author examines the Internal Revenue Service's ruling that storage and loading for shipment at the mine site are nonmining processes for ores and minerals described in section 613(c)(4)(D) of the Internal Revenue Code. He explains the tax consequences of the ruling and discusses the correctness of the position taken by the Internal Revenue Service in light of the relevant case law and the language and legislative history of the statute. The effect of the ruling is to reduce the percentage depletion deduction available to many miners of ores and minerals described in section 613(c)(4)(D), including miners of lead, zinc, copper, gold, silver, uranium, fluorspar, potash, soda ash, garnet and tungsten. (JMT)

Barnes, D.A.

1983-01-01T23:59:59.000Z

222

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)

223

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

224

Achronal averaged null energy condition  

Science Conference Proceedings (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent spacetime in semiclassical gravity in which ANEC is violated on a complete, achronal null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out closed timelike curves and wormholes connecting different asymptotically flat regions.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States) and Center for Theoretical Physics, Laboratory for Nuclear Science, and Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2007-09-15T23:59:59.000Z

225

Achronal averaged null energy condition  

E-Print Network (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent space-time in semiclassical gravity in which ANEC is violated on a complete, {\\em achronal} null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out wormholes and closed timelike curves.

Noah Graham; Ken D. Olum

2007-05-22T23:59:59.000Z

226

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.

227

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

228

Point to Point and Flow-based Financial Transmission Rights: Revenue Adequacy and Performance Incen-  

E-Print Network (OSTI)

mechanism for defining transmission rights in North Ameri- can restructured electricity markets is throughCHAPTER 3: Point to Point and Flow-based Financial Transmission Rights: Revenue Adequacy and Performance Incen- tives Shmuel S. Oren1 Abstract We provide an introduction to financial transmission rights

Oren, Shmuel S.

229

Supply chain network equilibrium with revenue sharing contract under demand disruptions  

Science Conference Proceedings (OSTI)

Contract is a common and effective mechanism for supply chain coordination, which has been studied extensively in recent years. For a supply chain network model, contracts can be used to coordinate it because it is too ideal to obtain the network equilibrium ... Keywords: Supply chain network, coordination, demand disruptions, equilibrium, revenue sharing contract

A. -Ting Yang; Lin-Du Zhao

2011-05-01T23:59:59.000Z

230

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

DOE Green Energy (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

231

Virtual item sales as a revenue model: identifying attributes that drive purchase decisions  

Science Conference Proceedings (OSTI)

The global market for virtual items, characters and currencies was estimated to exceed 2.1 Billion USD in 2007. Selling virtual goods for real money is an increasingly common revenue model not only for online games and virtual worlds, but for social ... Keywords: Business model, Consumer behaviour, Online communities, Purchase drivers, RMT, Virtual consumption

Vili Lehdonvirta

2009-06-01T23:59:59.000Z

232

Gas projects surge in the Middle East as governments seek new revenue sources  

SciTech Connect

The rapid development of natural gas and condensate reserves in the Middle East results from a simple motivation: the desire of governments to earn revenues. For the past decade, Middle East governments have run budget deficits, which they funded by drawing down foreign assets and issuing debt. Now in the process of structural economic reform, they have begun to use an under-utilized resource--natural gas, of which Middle East governments own about one third of the world`s reserves. Governments receive revenues from several sources in natural gas developments, which makes the projects very attractive. Revenue comes from the sale of the natural gas in the domestic market and, if exported, the international market; the sale of associated condensates; the additional exports of crude oil or refined products if natural gas is substituted for refined products in domestic markets; the increased sale of crude oil if natural gas is injected into reservoirs to maintain pressure; and the sale of petrochemicals where natural gas is used as feedstock. Large projects under way in the Middle East highlight the consequences of multiple revenue sources and interlinked costs of natural gas and condensate development. Other countries in the region are undertaking similar projects, so examples cited represent only a portion of what is occurring. The paper describes Abu Dhabi, Qatar, Saudi Arabia, and Iran.

Williams, M.D. [International Energy Agency, Paris (France)

1997-02-24T23:59:59.000Z

233

Tax-versus-trading and efficient revenue recycling as issues for greenhouse gas abatement  

E-Print Network (OSTI)

Tax-versus-trading and efficient revenue recycling as issues for greenhouse gas abatement Final, climate policy, global Abstract. We give empirical welfare results for global greenhouse gas emission recycling together. #12;1. Introduction Designing policy mechanisms for abating greenhouse gas emissions

Pezzey, Jack

234

list-view-maps | Data.gov  

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

Where Does my Money Go? Average categorical breakdown of annual US residential energy costs. Maps 10312011 What Drives Crude Oil Prices? Graphic exploring the relation of oil...

235

Spectral and Parametric Averaging for Integrable Systems  

E-Print Network (OSTI)

We analyze two theoretical approaches to ensemble averaging for integrable systems in quantum chaos - spectral averaging and parametric averaging. For spectral averaging, we introduce a new procedure - rescaled spectral averaging. Unlike traditional spectral averaging, it can describe the correlation function of spectral staircase and produce persistent oscillations of the interval level number variance. Parametric averaging, while not as accurate as rescaled spectral averaging for the correlation function of spectral staircase and interval level number variance, can also produce persistent oscillations of the global level number variance and better describes saturation level rigidity as a function of the running energy. Overall, it is the most reliable method for a wide range of statistics.

Tao Ma; R. A. Serota

2013-06-03T23:59:59.000Z

236

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

Science Conference Proceedings (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

237

INVERSIONS FOR AVERAGE SUPERGRANULAR FLOWS USING FINITE-FREQUENCY KERNELS  

Science Conference Proceedings (OSTI)

I analyze the maps recording the travel-time shifts caused by averaged plasma anomalies under an 'average supergranule', constructed by means of statistical averaging over 5582 individual supergranules with large divergence signals detected in two months of Helioseismic and Magnetic Imager Dopplergrams. By utilizing a three-dimensional validated time-distance inversion code, I measure a peak vertical velocity of 117 {+-} 2 m s{sup -1} at depths around 1.2 Mm in the center of the supergranule and a root-mean-square vertical velocity of 21 m s{sup -1} over the area of the supergranule. A discrepancy between this measurement and the measured surface vertical velocity (a few m s{sup -1}) can be explained by the existence of the large-amplitude vertical flow under the surface of supergranules with large divergence signals, recently suggested by Duvall and Hanasoge.

Svanda, Michal, E-mail: michal@astronomie.cz [Astronomical Institute, Academy of Sciences of the Czech Republic (v.v.i.), Fricova 298, CZ-25165 Ondrejov (Czech Republic)

2012-11-10T23:59:59.000Z

238

Portfolio Revenues in a Changing Power Infrastructure: Responses of Existing Generation to New Wind Capacity  

Science Conference Proceedings (OSTI)

Owners of generating units must frequently reevaluate the financial and physical operations of their units in order to assess impacts of changing business regulatory conditions and to consider how investments to improve efficiency, flexibility, and emissions will perform. A little understood development now occurring is growth in wind capacity in response to state renewable performance standards. This report describes a case study of how new wind generation can affect the revenues and operation of existi...

2004-12-27T23:59:59.000Z

239

Portfolio Substitution and the Revenue Cost of the Federal Income Tax Exemption for State and Local Government Bonds  

E-Print Network (OSTI)

This paper illustrates how different assumptions about household portfolio behavior influence estimates of the amount of individual income tax revenue that would be collected if the interest tax exemption for state and ...

Poterba, James M.

240

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)

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

Optimization Online - String-Averaging Projected Subgradient ...  

E-Print Network (OSTI)

Aug 29, 2013 ... Optimization Online. String-Averaging Projected Subgradient Methods for Constrained Minimization. Yair Censor(yair ***at*** math.haifa.ac.il)

242

Average Stock Levels: Crude Market & Propane  

U.S. Energy Information Administration (EIA)

This graph shows that propane was not alone in experiencing excess supply in 1998 and extraordinary stock builds. Note that the graph shows average stock levels ...

243

Variable fuel tax models. [Revenue generated via 4 models for Alabama  

SciTech Connect

Four variable fuel tax models are investigated with respect to Alabama Highway Department operations. The Fixed Percentage Fuel Tax Model establishes the state gasoline tax as a constant percentage of the wholesale price of gasoline. The Price Index Economic Model pegs state fuel taxes to a ratio of price indexes. The Fuel Efficiency Tax Model relates the gasoline tax to the variables of Consumer Price Index and vehicle efficiency. The Sales Tax Model establishes a sales tax on the purchase of gasoline and motor fuel sold in the state. Estimates of the amount of revenue expected to be generated by each model are made. Advantages and disadvantages of each model are presented.

Vecellio, R.L.; Moore, R.K.

1977-07-01T23:59:59.000Z

244

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

Science Conference Proceedings (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

Dynamic Multiscale Averaging (DMA) of Turbulent Flow  

SciTech Connect

A new approach called dynamic multiscale averaging (DMA) for computing the effects of turbulent flow is described. The new method encompasses multiple applications of temporal and spatial averaging, that is, multiscale operations. Initially, a direct numerical simulation (DNS) is performed for a relatively short time; it is envisioned that this short time should be long enough to capture several fluctuating time periods of the smallest scales. The flow field variables are subject to running time averaging during the DNS. After the relatively short time, the time-averaged variables are volume averaged onto a coarser grid. Both time and volume averaging of the describing equations generate correlations in the averaged equations. These correlations are computed from the flow field and added as source terms to the computation on the next coarser mesh. They represent coupling between the two adjacent scales. Since they are computed directly from first principles, there is no modeling involved. However, there is approximation involved in the coupling correlations as the flow field has been computed for only a relatively short time. After the time and spatial averaging operations are applied at a given stage, new computations are performed on the next coarser mesh using a larger time step. The process continues until the coarsest scale needed is reached. New correlations are created for each averaging procedure. The number of averaging operations needed is expected to be problem dependent. The new DMA approach is applied to a relatively low Reynolds number flow in a square duct segment. Time-averaged stream-wise velocity and vorticity contours from the DMA approach appear to be very similar to a full DNS for a similar flow reported in the literature. Expected symmetry for the final results is produced for the DMA method. The results obtained indicate that DMA holds significant potential in being able to accurately compute turbulent flow without modeling for practical engineering applications.

Richard W. Johnson

2012-09-01T23:59:59.000Z

246

Bayesian curve estimation by model averaging  

Science Conference Proceedings (OSTI)

A Bayesian approach is used to estimate a nonparametric regression model. The main features of the procedure are, first, the functional form of the curve is approximated by a mixture of local polynomials by Bayesian model averaging (BMA), second, the ... Keywords: BIC criterion, Bayesian model averaging, Local polynomial regression, Nonparametric curve fitting, Robustness

Daniel Peña; Dolores Redondas

2006-02-01T23:59:59.000Z

247

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 +

248

REVENUE EFFECTS OF WATER CONSERVATION AND CONSERVATION PRICING: ISSUES AND PRACTICES  

E-Print Network (OSTI)

This report was prepared by The National Regulatory Research Institute (NRRI) with funding provided by participating member commissions of the National Association of Regulatory Utility Commissioners (NARUC). The views and opinions of the authors do not necessarily state or reflect the views, opinions, or policies of the NRRI, the NARUC, or NARUC member commissions. EXECUTIVE SUMMARY Water conservation can be exceedingly beneficial to the environment, society, and consumers, but not necessarily to water supply utilities (especially in the short term). Philosophical support for water conservation invariably encounters the practical issues of water utility economics. Conservation behavior and conservation pricing affect the balance between the price of water and the quantity of water demanded. Depending on a utility's predetermined revenue requirement, changes in quantity or in price mayor may not result in revenue deficits, surpluses, or consequential instability. The disincentive for water utilitie $ to promote ' conservation appears to be strong. Traditional economic ' regulation tends to reinforce the disincentive for utility-sponsored conservation. Regulated utilities generally are more motivated to invest in supply-side

Janice A. Beecher, Ph.D.; Patrick C. Mann, Ph.D.; John D. Stanford

1994-01-01T23:59:59.000Z

249

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

NLE Websites -- All DOE Office Websites (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

250

Estimating the impact on fuel tax revenues from a changing light vehicle fleet with increased advanced internal combustion engine vehicles and electric vehicles.  

E-Print Network (OSTI)

??Advanced fuel economies in both traditional internal combustion engine vehicles (ICEs) and electric vehicles (EVs) have a strong influence on transportation revenue by reducing fuel… (more)

Hall, Andrea Lynn

2013-01-01T23:59:59.000Z

251

Lagged Average Predictions in a Predictability Experiment  

Science Conference Proceedings (OSTI)

Lagged average predictions are examined here within the context of an idealized predictability experiment. Lagged predictions contribute to making better forecasts than the forecasts obtained from using only the latest initial state. Analytic ...

John O. Roads

1988-01-01T23:59:59.000Z

252

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical postprocessing technique that has been used in probabilistic weather forecasting to calibrate forecast ensembles and generate predictive probability density functions (PDFs) for weather quantities. ...

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

253

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

254

The Shape of Averaged Drop Size Distributions  

Science Conference Proceedings (OSTI)

The shape of averaged drop size distributions (DSD) is studied from a large sample of data (892 h) collected at several sites of various latitudes. The results show that neither the hypothesis of an exponential distribution to represent rainfall ...

Henri Sauvageot; Jean-Pierre Lacaux

1995-04-01T23:59:59.000Z

255

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

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

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)","(%)"

256

A high average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduced the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, T.P.

1986-02-10T23:59:59.000Z

257

Average transmission probability of a random stack  

E-Print Network (OSTI)

The transmission through a stack of identical slabs that are separated by gaps with random widths is usually treated by calculating the average of the logarithm of the transmission probability. We show how to calculate the average of the transmission probability itself with the aid of a recurrence relation and derive analytical upper and lower bounds. The upper bound, when used as an approximation for the transmission probability, is unreasonably good and we conjecture that it is asymptotically exact.

Yin Lu; Christian Miniatura; Berthold-Georg Englert

2009-07-31T23:59:59.000Z

258

Estimating Averaging Times for Point and Path-Averaged Measurements of Turbulence Spectra  

Science Conference Proceedings (OSTI)

Uncertainty over how long to average turbulence variables to achieve some desired level of statistical stability is a common concern in boundary-layer meteorology. Several models exist that predict averaging times for measurements of variances ...

Edgar L. Andreas

1988-03-01T23:59:59.000Z

259

Site Map  

NLE Websites -- All DOE Office Websites (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

260

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

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

Troposphere-Stratosphere (Surface-55 km) Monthly Winter General Circulation Statistics for the Northern Hemisphere-Four Year Averages  

Science Conference Proceedings (OSTI)

Monthly mean Northern Hemisphere general circulation statistics are presented for the four-year average December, January and February months of the winters 1978–79 through 1981–82. These calculations start with daily maps for eighteen pressure ...

Marvin A. Geller; Mao-Fou Wu; Melvyn E. Gelman

1983-05-01T23:59:59.000Z

262

Medical Resident FICA Refund Claim Information The Internal Revenue Service (IRS) recently announced that it will refund the employer  

E-Print Network (OSTI)

Medical Resident FICA Refund Claim Information The Internal Revenue Service (IRS) recently announced that it will refund the employer and employee portion of FICA taxes paid for medical residents of all of our medical schools and medical centers for tax periods dating back to January 1, 1995. FICA

Russell, Lynn

263

World average top-quark mass  

SciTech Connect

This paper summarizes a talk given at the Top2008 Workshop at La Biodola, Isola d Elba, Italy. The status of the world average top-quark mass is discussed. Some comments about the challanges facing the experiments in order to further improve the precision are offered.

Glenzinski, D.; /Fermilab

2008-01-01T23:59:59.000Z

264

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 report, Staff Forecast: Retail Electricity Prices, 2005 to 2018, was prepared with contributions from the technical assistance provided by Greg Broeking of R.W. Beck, Inc. in preparing retail price forecasts

265

Exact bounds for average pairwise network reliability  

Science Conference Proceedings (OSTI)

Several methods for finding exact bounds of average pairwise network connectivity (APNC) are proposed. These methods allows faster decision making about if a network is reliable for its purpose. Previous results on cumulitive updating of all-terminal ... Keywords: algorithm, network reliability, pairwise connectivity

Alexey Rodionov; Olga Rodionova

2013-01-01T23:59:59.000Z

266

Average spot natural gas prices declined during the first half of ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. Energy use in homes, commercial buildings, ...

267

2012 Brief: Average wholesale natural gas prices fell 31% in 2012 ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. Energy use in homes, commercial buildings, ...

268

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

269

Sources Of Average Individual Radiation Exposure  

NLE Websites -- All DOE Office Websites (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.

270

Fat turnover in obese slower than average  

NLE Websites -- All DOE Office Websites (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,

271

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

272

HIGH AVERAGE POWER OPTICAL FEL AMPLIFIERS.  

SciTech Connect

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

273

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function  

E-Print Network (OSTI)

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function Ken relaxation length, v sat ø h''i (¸ 0:05¯m), the energy distribution function is not well described calculation of impact ionization coefficient requires the use of a high energy distribution function because

Dunham, Scott

274

ORNL DAAC Site Map  

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

Site Map ORNL DAAC Site Map About Us About ORNL DAAC Who We Are User Working Group Biogeochemical Dynamics Data Citation Policy News Newsletters Workshops Site Map Products...

275

Reserved or On-Demand Instances? A Revenue Maximization Model for Cloud Providers  

E-Print Network (OSTI)

We examine the problem of managing a server farm in a way that attempts to maximize the net revenue earned by a cloud provider by renting servers to customers according to a typical Platform-as-a-Service model. The Cloud provider offers its resources to two classes of customers: `premium' and `basic'. Premium customers pay upfront fees to reserve servers for a specified period of time (e.g. a year). Premium customers can submit jobs for their reserved servers at any time and pay a fee for the server-hours they use. The provider is liable to pay a penalty every time a `premium' job can not be executed due to lack of resources. On the other hand, `basic' customers are served on a best-effort basis, and pay a server-hour fee that may be higher than the one paid by premium customers. The provider incurs energy costs when running servers. Hence, it has an incentive to turn off idle servers. The question of how to choose the number of servers to allocate to each pool (basic and premium) is answered by analyzing a s...

Mazzucco, Michele

2011-01-01T23:59:59.000Z

276

A Round-based Pricing Scheme for Maximizing Service Provider's Revenue in P2PTV Networks  

E-Print Network (OSTI)

In this paper, we analyze a round-based pricing scheme that encourages favorable behavior from users of real-time P2P applications like P2PTV. In the design of pricing schemes, we consider price to be a function of usage and capacity of download/upload streams, and quality of content served. Users are consumers and servers at the same time in such networks, and often exhibit behavior that is unfavorable towards maximization of social benefits. Traditionally, network designers have overcome this difficulty by building-in traffic latencies. However, using simulations, we show that appropriate pricing schemes and usage terms can enable designers to limit required traffic latencies, and be able to earn nearly 30% extra revenue from providing P2PTV services. The service provider adjusts the prices of individual programs incrementally within rounds, while making relatively large-scale adjustments at the end of each round. Through simulations, we show that it is most beneficial for the service provider to carry out ...

Bhutani, Gitanjali

2009-01-01T23:59:59.000Z

277

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

278

Average values and dispersion (in parentheses)  

NLE Websites -- All DOE Office Websites (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)

279

Fermilab Map Instructions  

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

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 site....

280

Maps and Shuttle - TMS  

Science Conference Proceedings (OSTI)

TMS 2008 Conference Maps and Shuttle Information. Ernest N. Morial Convention Center Maps All conference events, including registration, technical sessions ...

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

ATOC or Candide: Toward depth?averaged temperature maps of the North Pacific Ocean  

Science Conference Proceedings (OSTI)

The ATOC Project has aquired trans?Pacific acoustic data from two acoustic sources: one located on Pioneer Seamount off the coast of California

Brian D. Dushaw; ATOC Group

1999-01-01T23:59:59.000Z

282

Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

The authors introduce two ways to produce locally calibrated grid-based probabilistic forecasts of temperature. Both start from the Global Bayesian model averaging (Global BMA) statistical postprocessing method, which has constant predictive bias ...

William Kleiber; Adrian E. Raftery; Jeffrey Baars; Tilmann Gneiting; Clifford F. Mass; Eric Grimit

2011-08-01T23:59:59.000Z

283

Geographic Gossip: Efficient Averaging for Sensor Networks  

E-Print Network (OSTI)

Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments. However, using standard gossip algorithms can lead to a significant waste in energy by repeatedly recirculating redundant information. For realistic sensor network model topologies like grids and random geometric graphs, the inefficiency of gossip schemes is related to the slow mixing times of random walks on the communication graph. We propose and analyze an alternative gossiping scheme that exploits geographic information. By utilizing geographic routing combined with a simple resampling method, we demonstrate substantial gains over previously proposed gossip protocols. For regular graphs such as the ring or grid, our algorithm improves standard gossip by factors of $n$ and $\\sqrt{n}$ respectively. For the more challenging case of random geometric graphs, our algorithm computes the true average to accuracy $\\epsilon$ using $O(\\frac{n^{1.5}}{\\sqrt{\\log ...

Dimakis, Alexandros G; Wainwright, Martin J

2007-01-01T23:59:59.000Z

284

On the String Averaging Method for Sparse Common Fixed Points ...  

E-Print Network (OSTI)

Jul 10, 2008 ... gate a string-averaging algorithmic scheme that favorably handles the ... are special cases of the string-averaging and of the BIP algorithmic ...

285

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

286

Average summer gasoline prices expected to be slightly lower ...  

U.S. Energy Information Administration (EIA)

The retail price for regular gasoline is expected to average $3.63 per gallon during this summer driving season, slightly below average prices over ...

287

Table 5B. Commercial average monthly bill by census division...  

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

" Census Division " " State ","Number of Consumers "," Average Monthly Consumption (kWh)","Price (Cents per Kilowatthour)","Average Monthly Bill (Dollar and cents)" "New...

288

Nearly Euclidean Thurston maps  

E-Print Network (OSTI)

We introduce and study a class of Thurston maps from the 2-sphere to itself which we call nearly Euclidean Thurston (NET) maps. These are simple generalizations of Euclidean Thurston maps.

Cannon, James W; Parry, Walter R; Pilgrim, Kevin M

2012-01-01T23:59:59.000Z

289

Berkeley Lab Site Map  

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

Location Building - Map Location Building - Map Location Building - Map Location Advanced Light Source (Bldg. 6) - C3, C4 Bldg. 50 Auditorium - C2 Bldg. 66 Auditorium - D6...

290

Maps of Selected State Subdivisions  

Gasoline and Diesel Fuel Update (EIA)

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...

291

NREL GIS Data: Alaska High Resolution Wind Resource Annual average...  

Open Energy Info (EERE)

were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering AmericaNREL. This map has been validated with...

292

Geothermal: Site Map  

Office of Scientific and Technical Information (OSTI)

GEOTHERMAL TECHNOLOGIES LEGACY COLLECTION - Site Map Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On HomeBasic Search About Publications...

293

TMS 2011: Maps  

Science Conference Proceedings (OSTI)

TMS 2011: Maps February 27 - March 3, 2011 • San Diego, California. Use these following maps and floor plans to help locate where you need to go.

294

Texas Gulf Coast Refinery District API Gravity (Weighted Average ...  

U.S. Energy Information Administration (EIA)

Texas Gulf Coast Refinery District API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degree)

295

Allinea MAP at NERSC  

NLE Websites -- All DOE Office Websites (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

296

Comparison of Year-Average Latitude, Longitude and Pressure of the Four Centers of Action with Air and Sea Temperature, 1899–1978  

Science Conference Proceedings (OSTI)

The average latitude, longitude and central pressure of the four centers of action (Icelandic low, Aleutian low, Azores high, Pacific high) have been estimated for each of the 80 years of the Northern Hemisphere Historical Weather Map Series (...

J. K. Angell; J. Korshover

1982-04-01T23:59:59.000Z

297

How to Turn Property Tax Exemptions into Revenue for Local Governments Institute for Wisconsin’s Future  

E-Print Network (OSTI)

Wisconsin citizens want strong communities, reasonable state and local taxes and a revenue system in which all individuals, businesses and organizations pay a fair share. IWF’s Fair and Adequate series of reports examines how the current tax system works and what changes are needed to create a fair system that adequately funds the services needed for the common good. Wisconsin Property Tax Executive Summary Property tax revenue is the fuel for community operations. It generates $9.4 billion a year to pay a major portion of the cost to run schools, public safety systems, all forms of transportation, technical colleges and the infrastructure that supports us. The property tax is Wisconsin’s oldest and largest mechanism for citizens and businesses to share the expense of basic and vital public structures. The property tax is also the tax some people love to hate the most. There are serious criticisms of the property tax structure in Wisconsin: Property taxes in this state are higher than in most other states; Middle-class families pay a higher percent of their income on property taxes for their homes than wealthy households; Property tax rates are not consistent, but vary widely from one community to another;

Dennis Collier; Jack Norman

2011-01-01T23:59:59.000Z

298

Journal of Power Sources xxx (2005) xxx–xxx Vehicle-to-grid power fundamentals: Calculating capacity and net revenue  

E-Print Network (OSTI)

As the light vehicle fleet moves to electric drive (hybrid, battery, and fuel cell vehicles), an opportunity opens for “vehicle-to-grid ” (V2G) power. This article defines the three vehicle types that can produce V2G power, and the power markets they can sell into. V2G only makes sense if the vehicle and power market are matched. For example, V2G appears to be unsuitable for baseload power—the constant round-theclock electricity supply—because baseload power can be provided more cheaply by large generators, as it is today. Rather, V2G’s greatest near-term promise is for quick-response, high-value electric services. These quick-response electric services are purchased to balance constant fluctuations in load and to adapt to unexpected equipment failures; they account for 5–10 % of electric cost— $ 12 billion per year in the US. This article develops equations to calculate the capacity for grid power from three types of electric drive vehicles. These equations are applied to evaluate revenue and costs for these vehicles to supply electricity to three electric markets (peak power, spinning reserves, and regulation). The results suggest that the engineering rationale and economic motivation for V2G power are compelling. The societal advantages of developing V2G include an additional revenue stream for cleaner vehicles, increased stability and reliability of the electric grid, lower electric system costs, and eventually, inexpensive storage and backup for renewable electricity.

Willett Kempton; Jasna Tomi?

2004-01-01T23:59:59.000Z

299

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

Science Conference Proceedings (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

300

Quantization of Anosov maps  

SciTech Connect

Cat maps, linear automorphisms of the torus, are standard examples of classically chaotic systems, but they are periodic when quantized, leading to many untypical consequences. Anosov maps are topologically equivalent to cat maps despite being nonlinear. Generalizing the original quantization of cat maps, we establish that quantum Anosov maps have typical spectral fluctuations for classically chaotic systems. The periodic orbit theory for the spectra of quantum Anosov maps is not exact, as it is for cat maps. Nonetheless our calculations verify that the semiclassical trace of the propagator is accurate well beyond any ``log time`` cutoff. {copyright} 1995 Academic Press, Inc.

Basilio de Matos, M.; Ozorio de Almeida, A.M. [IF, Universidade Estadual de Campinas, 13081, Campinas, SP (Brazil)

1995-01-01T23:59:59.000Z

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.


301

Emergency Exit Maps | Stanford Synchrotron Radiation Lightsource  

NLE Websites -- All DOE Office Websites (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...

302

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

NLE Websites -- All DOE Office Websites (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

303

Vehicle Technologies Office: Fact #536: September 15, 2008 Average...  

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

6: September 15, 2008 Average Used Car Prices Up and Used Light Truck Prices Down to someone by E-mail Share Vehicle Technologies Office: Fact 536: September 15, 2008 Average Used...

304

Vehicle Technologies Office: Fact #517: May 5, 2008 State Average...  

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

7: May 5, 2008 State Average Gasoline Prices, April 18, 2008 to someone by E-mail Share Vehicle Technologies Office: Fact 517: May 5, 2008 State Average Gasoline Prices, April 18,...

305

Vehicle Technologies Office: Fact #87: May 4, 1999 Average Annual...  

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

7: May 4, 1999 Average Annual Miles per Vehicle by Vehicle Type and Age to someone by E-mail Share Vehicle Technologies Office: Fact 87: May 4, 1999 Average Annual Miles per...

306

Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical way of postprocessing forecast ensembles to create predictive probability density functions (PDFs) for weather quantities. It represents the predictive PDF as a weighted average of PDFs centered on ...

J. Mc Lean Sloughter; Adrian E. Raftery; Tilmann Gneiting; Chris Fraley

2007-09-01T23:59:59.000Z

307

Vehicle Technologies Office: Fact #744: September 10, 2012 Average...  

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

4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price to someone by E-mail Share Vehicle Technologies Office: Fact 744:...

308

Improving Wind Profiler–Measured Winds Using Coplanar Spectral Averaging  

Science Conference Proceedings (OSTI)

A method is presented that increases the detectability of weak clear-air signals by averaging Doppler spectra from coplanar wind profiler beams. The method, called coplanar spectral averaging (CSA), is applied to both simulated wind profiler ...

Robert Schafer; Susan K. Avery; Kenneth S. Gage; Paul E. Johnston; D. A. Carter

2004-11-01T23:59:59.000Z

309

On Lateral Dispersion Coefficients as Functions of Averaging Time  

Science Conference Proceedings (OSTI)

Plume dispersion coefficients are discussed in terms of single-particle and relative diffusion, and are investigated as functions of averaging time. To demonstrate the effects of averaging time on the relative importance of various dispersion ...

C. M. Sheih

1980-05-01T23:59:59.000Z

310

Vorticity Dynamics and Zonally Averaged Ocean Circulation Models  

Science Conference Proceedings (OSTI)

Diagnostic equations relating the zonally averaged overturning circulation to north–south density variations are derived and used to determine a new closure scheme for use in zonally averaged ocean models. The presentation clarifies the dynamical ...

Daniel G. Wright; Cornelis B. Vreugdenhil; Tertia M. C. Hughes

1995-09-01T23:59:59.000Z

311

Maryland Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States

312

Optimization Online - "Block-Iterative and String-Averaging ...  

E-Print Network (OSTI)

Jul 19, 2009 ... Optimization Online. "Block-Iterative and String-Averaging Projection Algorithms in Proton Computed Tomography Image Reconstruction".

313

Table 4. Average retail price for bundled and unbundled consumers ...  

U.S. Energy Information Administration (EIA)

Table 4. Average retail price for bundled and unbundled consumers by sector, Census Division, and State 2011

314

Parabolic-like maps  

E-Print Network (OSTI)

In this paper we introduce the notion of parabolic-like mapping, which is an object similar to a polynomial-like mapping, but with a parabolic external class, i.e. an external map with a parabolic fixed point. We prove a straightening theorem for parabolic-like maps, which states that any parabolic-like map of degree 2 is hybrid conjugate to a member of the family Per_1(1), and this member is unique (up to holomorphic conjugacy) if the filled Julia set of the parabolic-like map is connected.

Lomonaco, Luciana Luna Anna

2011-01-01T23:59:59.000Z

315

COBE Sky Map  

NLE Websites -- All DOE Office Websites (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

316

Automated reaction mapping  

Science Conference Proceedings (OSTI)

Automated reaction mapping is a fundamental first step in the analysis of chemical reactions and opens the door to the development of sophisticated chemical kinetic tools. This article formulates the reaction mapping problem as an optimization problem. ... Keywords: Cheminformatics, mechanisms

John D. Crabtree; Dinesh P. Mehta

2009-02-01T23:59:59.000Z

317

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

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

the Solar Maps Development - How the Maps Were Made page. Thumbnail image of the national solar photovoltaics (PV) resource potential in the United States map. Thumbnail image of...

318

Quantitative DNA fiber mapping  

DOE Patents (OSTI)

The present invention relates generally to the DNA mapping and sequencing technologies. In particular, the present invention provides enhanced methods and compositions for the physical mapping and positional cloning of genomic DNA. The present invention also provides a useful analytical technique to directly map cloned DNA sequences onto individual stretched DNA molecules.

Gray, Joe W. (San Francisco, CA); Weier, Heinz-Ulrich G. (Oakland, CA)

1998-01-01T23:59:59.000Z

319

Quadtree relief mapping  

Science Conference Proceedings (OSTI)

Relief mapping is an image based technique for rendering surface details. It simulates depth on a polygonal model using a texture that encodes surface height. The presented method incorporates a quadtree structure to achieve a theoretically proven performance ... Keywords: image based rendering, pixel based displacement mapping, quadtree, relief mapping, surface details

M. F. A. Schroders; R. v. Gulik

2006-09-01T23:59:59.000Z

320

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

NLE Websites -- All DOE Office Websites (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:

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

Average Interest Rate for Treasury Securities | Data.gov  

NLE Websites -- All DOE Office Websites (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.

322

Ocean Map | Data.gov  

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

Map Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Map Gallery Planning for ocean, coastal, and Great...

323

maps | OpenEI Community  

Open Energy Info (EERE)

- 15:22 Multicolor Maps from Compound Queries ask queries compound queries developer Google maps maps multicolor result formats results Semantic Mediawiki Hi all, Recently, a...

324

Orbit-averaged guiding-center Fokker-Planck operator  

Science Conference Proceedings (OSTI)

A general orbit-averaged guiding-center Fokker-Planck operator suitable for the numerical analysis of transport processes in axisymmetric magnetized plasmas is presented. The orbit-averaged guiding-center operator describes transport processes in a three-dimensional guiding-center invariant space: the orbit-averaged magnetic-flux invariant {psi}, the minimum-B pitch-angle coordinate {xi}{sub 0}, and the momentum magnitude p.

Brizard, A. J. [Department of Chemistry and Physics, Saint Michael's College, Colchester, Vermont 05439 (United States); Decker, J.; Peysson, Y.; Duthoit, F.-X. [CEA, IRFM, Saint-Paul-lez-Durance F-13108 (France)

2009-10-15T23:59:59.000Z

325

Average Depth of Crude Oil and Natural Gas Wells  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Average depth may ...

326

Table AP7. Average Expenditures for Home Appliances and Lighting ...  

U.S. Energy Information Administration (EIA)

A household is assigned to a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station.

327

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

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)"...

328

Average wholesale electric power prices rose in 2010 - Today in ...  

U.S. Energy Information Administration (EIA)

Average wholesale electric power prices rose in 2010, due to higher national natural gas prices and increased demand for electricity, particularly in the Eastern ...

329

Today in Energy - Average wholesale natural gas prices mostly ...  

U.S. Energy Information Administration (EIA)

Average spot natural gas prices, which reflect the wholesale price of natural gas at major trading points, generally declined in most U.S. regional markets about 7% ...

330

Ohio Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

331

Average prices for spot sulfur dioxide emissions allowances at ...  

U.S. Energy Information Administration (EIA)

The weighted average spot price for sulfur dioxide (SO 2) emissions allowances awarded to winning bidders at Environmental Protection Agency's (EPA) annual auction on ...

332

Climate: monthly and annual average relative humidity GIS data...  

Open Energy Info (EERE)

Climate: monthly and annual average relative humidity GIS data at one-degree resolution of the World from NASASSE

(Abstract):  
Relative Humidity at 10 m...

333

Pennsylvania Average Price of Natural Gas Delivered to Residential ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

334

District of Columbia Average Price of Natural Gas Delivered to ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

335

Michigan Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

336

,"U.S. Natural Gas Average Annual Consumption per Commercial...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Average Annual Consumption per Commercial Consumer (Mcf)",1,"Annual",2011...

337

,"U.S. Natural Gas Average Annual Consumption per Industrial...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Average Annual Consumption per Industrial Consumer (Mcf)",1,"Annual",2011...

338

2012 Brief: Average wholesale electricity prices down compared ...  

U.S. Energy Information Administration (EIA)

2012 Brief: Average wholesale electricity prices down compared to last year. ... wholesale electric power prices often trend together with natural gas prices.

339

Average wholesale spot natural gas prices rose across the country ...  

U.S. Energy Information Administration (EIA)

Wholesale spot natural gas prices rose across the country in 2010. Average spot natural gas prices at the Henry Hub—a key benchmark location for pricing throughout ...

340

Figure 34. Ratio of average per megawatthour fuel costs ...  

U.S. Energy Information Administration (EIA)

Title: Figure 34. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the RFC west ...

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

EIA Renewable Energy- Average Energy Conversion Efficiency of ...  

U.S. Energy Information Administration (EIA)

Renewables and Alternate Fuels > Solar Photovoltaic Cell/Module Annual Report > Annual Shipments of Photovoltaic Cells and Modules by Source: Average Energy ...

342

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

Open Energy Info (EERE)

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...

343

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

Open Energy Info (EERE)

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...

344

Solar: monthly and annual average direct normal (DNI) GIS data...  

Open Energy Info (EERE)

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...

345

,"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"

346

New York Average Price of Natural Gas Delivered to Residential ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per ...

347

Historical Maps Online  

E-Print Network (OSTI)

For 20 years, David Rumsey assembled a collection of more than 150,000 historical maps of the Americas and the world. Motivated by a desire to make his private map collection a free public resource, Rumsey then created an online map library, http://www.davidrumsey.com/, which currently has over 10,000 high resolution images of maps from his collection. He has also built a suite of tools for users to experience and interpret the maps online. These include GIS, which allows users to combine historical maps with modern 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 new tools that improve both the user experience and the online library architecture.

Rumsey, David Y.

2005-01-31T23:59:59.000Z

348

Variation in Nimbus-7 Cloud Estimates. Part I: Zonal Averages  

Science Conference Proceedings (OSTI)

Zonal averages of low, middle and total cloud amount estimates derived from measurements from Nimbus-7 have been analyzed for the six-year period April 1979 through March 1985. The globally and zonally averaged values of six-year annual means and ...

Bryan C. Weare

1992-12-01T23:59:59.000Z

349

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

350

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

351

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

352

On Thurston's pullback map  

E-Print Network (OSTI)

Let f: P^1 \\to P^1 be a rational map with finite postcritical set P_f. Thurston showed that f induces a holomorphic map \\sigma_f of the Teichmueller space T modelled on P_f to itself fixing the basepoint corresponding to the identity map (P^1, P_f) \\to (P^1, P_f). We give explicit examples of such maps f showing that the following cases may occur: (1) the basepoint is an attracting fixed point, the image of \\sigma_f is open and dense, and the map \\sigma_f is a covering map onto its image; (2) the basepoint is a superattracting fixed point, \\sigma is surjective, and \\sigma is a ramified Galois covering, (3) \\sigma_f is constant.

Buff, Xavier; Koch, Sarah; Pilgrim, Kevin

2011-01-01T23:59:59.000Z

353

Long-run marginal costs lower than average costs  

SciTech Connect

The thesis of this article is that the long-run marginal costs of electricity are not always greater than the present average costs, as is often assumed. As long as short-run costs decrease with new plant additions, the long-run marginal cost is less than long-run average cost. When average costs increase with new additions, long-run marginal costs are greater than long-run average costs. The long-run marginal costs of a particular utility may be less than, equal to, or greater than its long-run average costs - even with inflation present. The way to determine which condition holds for a given utility is to estimate costs under various combinations of assumptions: probable load growth, zero load growth, and load growth greater than expected; and changes in load factor with attendant costs. Utilities that can demonstrate long-run marginal costs lower than long-run average costs should be encouraged to build plant and increase load, for the resulting productivity gains and slowing of inflation. Utilities that face long-run marginal costs greater than long-run average costs should discourage growth in sales through any available means.

Hunter, S.R.

1980-01-03T23:59:59.000Z

354

The Map Comparison Kit  

Science Conference Proceedings (OSTI)

Comparing maps is an important issue in environmental research. There are many reasons to compare maps: (i) to detect temporal/spatial changes or hot-spots, (ii) to compare different models, methodologies or scenarios, (iii) to calibrate, validate land-use ... Keywords: Calibration, Fuzzy kappa, Fuzzy-set map comparison, Geographic Information System, Hierarchical fuzzy pattern matching, Kappa, Land-use models, Remote sensing

H. Visser; T. de Nijs

2006-03-01T23:59:59.000Z

355

Maps | Department of Energy  

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

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

356

Maps | Department of Energy  

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

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

357

RMOTC RMOTC -Site Map  

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

Site Map Home About Us About Us Staff Field Info History Photo Gallery Awards & Testimonials Safety Initiatives Outreach & Community News Latest News Newsletters Press Releases...

358

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

NLE Websites -- All DOE Office Websites (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

359

Figure 33. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 33. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the SERC southeast ...

360

Figure 27. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 27. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in five cases, 2008-2040

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

ARM - Evaluation Product - Average of Cloud Condensation Nuclei...  

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

are averaged together. The %ss in the CCN data stream is calculated using a heat transfer and fluid dynamics model flow model (Lance et al., 2006). The model uses the...

362

Virginia Average Price of Natural Gas Delivered to Residential...  

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

10.34 9.79 11.62 14.97 NA 20.70 1989-2013 Commercial Average Price 8.35 8.21 9.11 9.52 9.96 10.36...

363

New York Average Price of Natural Gas Delivered to Residential...  

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

94 11.57 12.82 15.94 18.40 18.73 1989-2013 Commercial Average Price 8.38 8.32 8.27 8.38 7.91 6.66...

364

Maryland Average Price of Natural Gas Delivered to Residential...  

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

0.35 10.04 12.02 15.43 17.45 16.48 1989-2013 Commercial Average Price 9.03 9.30 10.67 11.84 12.79 NA...

365

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)

366

Average Diurnal Variation of Summer Lightning over the Floirida Peninsula  

Science Conference Proceedings (OSTI)

Data derived from a large network of electric field mills have been used to determine the average diurnal variation of lightning in a Florida seacoast environment. These data were obtained at the NASA Kennedy Space Center (KSC) and the Cape ...

Launa M. Maier; E. Philip Krider; Michael W. Maier

1984-06-01T23:59:59.000Z

367

Table 14b. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002...

368

2012 Brief: Average wholesale electricity prices down compared to ...  

U.S. Energy Information Administration (EIA)

Average, on-peak (weekdays from 7:00 a.m. to 11:00 p.m.) day-ahead electricity prices were lower across the entire United States in 2012 compared to 2011.

369

Table 14b. Average Electricity Prices, Projected vs. Actual  

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

b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

370

Does anyone have access to 2012 average residential rates by...  

Open Energy Info (EERE)

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...

371

Exact Averaging of Atmospheric State and Flow Variables  

Science Conference Proceedings (OSTI)

A new set of averaging rules is put forward that exactly determines the means of air temperature, mixing ratio, and velocity by incorporating weighting factors in accordance with physical conservation laws. For the temperature and velocity, ...

Andrew S. Kowalski

2012-05-01T23:59:59.000Z

372

Figure 88. Annual average Henry Hub spot prices for natural ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 88. Annual average Henry Hub spot prices for natural gas in five cases, 1990-2040 (2011 dollars per million Btu) Reference

373

Figure 86. Annual average Henry Hub spot natural gas prices ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 86. Annual average Henry Hub spot natural gas prices, 1990-2040 (2011 dollars per million Btu) Henry Hub Spot Price 1990.00

374

Using Bayesian Model Averaging to Calibrate Forecast Ensembles  

Science Conference Proceedings (OSTI)

Ensembles used for probabilistic weather forecasting often exhibit a spread-error correlation, but they tend to be underdispersive. This paper proposes a statistical method for postprocessing ensembles based on Bayesian model averaging (BMA), ...

Adrian E. Raftery; Tilmann Gneiting; Fadoua Balabdaoui; Michael Polakowski

2005-05-01T23:59:59.000Z

375

Pennsylvania Average Price of Natural Gas Delivered to Residential...  

Gasoline and Diesel Fuel Update (EIA)

7 10.55 11.24 13.80 16.87 19.85 1989-2013 Commercial Average Price 9.51 9.87 10.27 11.46 12.38 12.89...

376

Semi-supervised training for the averaged perceptron POS tagger  

Science Conference Proceedings (OSTI)

This paper describes POS tagging experiments with semi-supervised training as an extension to the (supervised) averaged perceptron algorithm, first introduced for this task by (Collins, 2002). Experiments with an iterative training on standard-sized ...

Drahomíra "johanka" Spoustová; Jan Haji?; Jan Raab; Miroslav Spousta

2009-03-01T23:59:59.000Z

377

A Statistical Averaging Method for Wind Profiler Doppler Spectra  

Science Conference Proceedings (OSTI)

A new method is presented for Doppler spectral averaging that more reliably identifies the profiler radar return from clear air in the presence of contamination—for example, from migrating bird echoes. These very sensitive radars profile the wind ...

David A. Merritt

1995-10-01T23:59:59.000Z

378

The averaged control system of fast oscillating control systems  

E-Print Network (OSTI)

For control systems that either have an explicit periodic dependence on time or have periodic solutions and small controls, we define an average control system that takes into account all possible variations of the control, and prove that its solutions approximate all solutions of the oscillating systems as oscillations go faster. The dimension of its velocity set is characterised geomtrically. When it is maximum the average system defines a Finsler metric, unfortunately not twice differntiable in general. Under particular assumptions, valid for the control two body system, this Finsler metric generates a Hamiltonian flow on the cotangent bundle. For minimum time control, this average system proves that averaging the Hamiltonian given by the maximum principle is a valid approximation.

Bombrun, Alex

2011-01-01T23:59:59.000Z

379

Implication of Spatial Averaging in Complex-Terrain Wind Studies  

Science Conference Proceedings (OSTI)

Studies of wind over complex terrain have been conducted at three times and two locations in Northern California. Instrumentation included conventional cup-vane anemometers and optical anemometers with spatial averaging over path lengths of 0.6-1 ...

W. M. Porch

1982-09-01T23:59:59.000Z

380

Vehicle Technologies Office: Fact #638: August 30, 2010 Average...  

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

8: August 30, 2010 Average Expenditure for a New Car Declines in Relation to Family Earnings to someone by E-mail Share Vehicle Technologies Office: Fact 638: August 30, 2010...

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

U.S. Natural Gas Average Consumption per Commercial Consumer...  

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

Commercial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

382

Solar: monthly and annual average global horizontal irradiance...  

Open Energy Info (EERE)

b>  
Global Horizontal Irradiance
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

383

Solar: monthly and annual average direct normal irradiance GIS...  

Open Energy Info (EERE)

>  
Direct Normal Irradiance (kWhm2day)
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

384

Benthic Boundary-Layer Velocity Profiles: Dependence on Averaging Period  

Science Conference Proceedings (OSTI)

The relationship between benthic boundary-layer velocity profiles and current meter averaging time is investigated using detailed (0.61 Hz) current measurements recorded within 1 m of the bottom on the inner continental shelf. The percentage of ...

Barry M. Lesht

1980-06-01T23:59:59.000Z

385

Average utilization of the nation's natural gas combined-cycle ...  

U.S. Energy Information Administration (EIA)

... (purple line) and 2010 (red line) average capacity factors for natural gas plant operations between 10 p.m. and 6 a.m. rose from 26% to 32%.

386

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL  

E-Print Network (OSTI)

there is more than one level of floor, wall, or ceiling insulation in a building, or more than one type of a building feature, material, or construction assembly occur in a building, a weighted average

387

Solar: monthly and annual average latitude tilt irradiance GIS...  

Open Energy Info (EERE)

& Annual Average (July 1983 - June 2005)
Parameter: Latitude Tilt Radiation (kWhm2day)
Internet: http:eosweb.larc.nasa.govsse
Note 1:...

388

Some Considerations Relevant to Computing Average Hemispheric Temperature Anomalies  

Science Conference Proceedings (OSTI)

Three data bases of gridded surface temperature anomalies were used to assess the sensitivity of the average estimated Northern Hemisphere (NH) temperature anomaly to: 1) extreme gridpoint values and 2) zonal band contributions. Over the last 100 ...

S. L. Grotch

1987-07-01T23:59:59.000Z

389

New Mexico Natural Gas Average Consumption per Industrial Consumer...  

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

Industrial Consumer (Thousand Cubic Feet) New Mexico Natural Gas Average Consumption per Industrial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

390

New Mexico Natural Gas Average Consumption per Commercial Consumer...  

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

Commercial Consumer (Thousand Cubic Feet) New Mexico Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

391

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"

392

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.

393

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.

394

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

395

Integrated Management Requirements mapping  

Science Conference Proceedings (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

396

Positioning using local maps  

Science Conference Proceedings (OSTI)

It is often useful to know the positions of nodes in a network. However, in a large network it is impractical to build a single global map. In this paper, we present a new approach for distributed localization called Positioning using Local Maps (PLM). ... Keywords: Localization, Multidimensional scaling, Multilateration, Relative position estimation

Yi Shang; Wheeler Ruml; Markus P. J. Fromherz

2006-03-01T23:59:59.000Z

397

National Magnetic Anomaly Map  

DOE Green Energy (OSTI)

A record of the conclusions of a three-day meeting and workshop of the Committee for a National Magnetic Anomaly Map held in February 1976 is presented. The purpose of he workshop was to prepare a statement of the benefits, objectives, specifications, and requirements of a NMAM and establish a working plan for producing the map. (ACR)

Not Available

1976-01-01T23:59:59.000Z

398

Bayesian Model Averaging’s Problematic Treatment of Extreme Weather and a Paradigm Shift That Fixes It  

Science Conference Proceedings (OSTI)

Methods of ensemble postprocessing in which continuous probability density functions are constructed from ensemble forecasts by centering functions around each of the ensemble members have come to be called Bayesian model averaging (BMA) or “...

Craig H. Bishop; Kevin T. Shanley

2008-12-01T23:59:59.000Z

399

Average Soil Water Retention Curves Measured by Neutron Radiography  

SciTech Connect

Water retention curves are essential for understanding the hydrologic behavior of partially-saturated porous media and modeling flow transport processes within the vadose zone. In this paper we report direct measurements of the main drying and wetting branches of the average water retention function obtained using 2-dimensional neutron radiography. Flint sand columns were saturated with water and then drained under quasi-equilibrium conditions using a hanging water column setup. Digital images (2048 x 2048 pixels) of the transmitted flux of neutrons were acquired at each imposed matric potential (~10-15 matric potential values per experiment) at the NCNR BT-2 neutron imaging beam line. Volumetric water contents were calculated on a pixel by pixel basis using Beer-Lambert s law after taking into account beam hardening and geometric corrections. To remove scattering effects at high water contents the volumetric water contents were normalized (to give relative saturations) by dividing the drying and wetting sequences of images by the images obtained at saturation and satiation, respectively. The resulting pixel values were then averaged and combined with information on the imposed basal matric potentials to give average water retention curves. The average relative saturations obtained by neutron radiography showed an approximate one-to-one relationship with the average values measured volumetrically using the hanging water column setup. There were no significant differences (at p < 0.05) between the parameters of the van Genuchten equation fitted to the average neutron radiography data and those estimated from replicated hanging water column data. Our results indicate that neutron imaging is a very effective tool for quantifying the average water retention curve.

Cheng, Chu-Lin [ORNL; Perfect, Edmund [University of Tennessee, Knoxville (UTK); Kang, Misun [ORNL; Voisin, Sophie [ORNL; Bilheux, Hassina Z [ORNL; Horita, Juske [Texas Tech University (TTU); Hussey, Dan [NIST Center for Neutron Research (NCRN), Gaithersburg, MD

2011-01-01T23:59:59.000Z

400

"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

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

"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

402

Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual  

NLE Websites -- All DOE Office Websites (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

403

Comparison of Average Transport and Dispersion Among a Gaussian, a  

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

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

404

Bounce-averaged Fokker-Planck code for stellarator transport  

Science Conference Proceedings (OSTI)

A computer code for solving the bounce-averaged Fokker-Planck equation appropriate to stellarator transport has been developed, and its first applications made. The code is much faster than the bounce-averaged Monte-Carlo codes, which up to now have provided the most efficient numerical means for studying stellarator transport. Moreover, because the connection to analytic kinetic theory of the Fokker-Planck approach is more direct than for the Monte-Carlo approach, a comparison of theory and numerical experiment is now possible at a considerably more detailed level than previously.

Mynick, H.E.; Hitchon, W.N.G.

1985-07-01T23:59:59.000Z

405

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

DOE Data Explorer (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.

Heavy Flavor Averaging Group (HFAG)

406

AMPERE AVERAGE CURRENT PHOTOINJECTOR AND ENERGY RECOVERY LINAC.  

SciTech Connect

High-power Free-Electron Lasers were made possible by advances in superconducting linac operated in an energy-recovery mode. In order to get to much higher power levels, say a fraction of a megawatt average power, many technological barriers are yet to be broken. We describe work on CW, high-current and high-brightness electron beams. This will include a description of a superconducting, laser-photocathode RF gun employing a new secondary-emission multiplying cathode, an accelerator cavity, both capable of producing of the order of one ampere average current and plans for an ERL based on these units.

BEN-ZVI,I.; BURRILL,A.; CALAGA,R.; ET AL.

2004-08-17T23:59:59.000Z

407

Site Map - Pantex Plant  

NLE Websites -- All DOE Office Websites (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

408

Improved Mapping of Tropospheric Delays  

Science Conference Proceedings (OSTI)

The authors compare several methods to map the a priori tropospheric delay of global positioning system (GPS) signals from the zenith direction to lower elevations. This is commonly achieved with so-called mapping functions. Dry mapping functions ...

Christian Rocken; Sergey Sokolovskiy; James M. Johnson; Doug Hunt

2001-07-01T23:59:59.000Z

409

Semantic mapping using mobile robots  

Science Conference Proceedings (OSTI)

Robotic mapping is the process of automatically constructing an environment representation using mobile robots. We address the problem of semantic mapping, which consists of using mobile robots to create maps that represent not only metric occupancy ...

Denis Fernando Wolf / Gaurav S. Sukhatme

2006-01-01T23:59:59.000Z

410

Web Site Map  

NLE Websites -- All DOE Office Websites (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

411

NREL: MapSearch  

NLE Websites -- All DOE Office Websites (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...

412

Maps & Directions | ORNL  

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

Maps & Directions ORNL is located in Roane County, Tennessee, about 7 miles from the center of the city of Oak Ridge and about 25 miles from the McGhee Tyson Airport near...

413

VIEW ALL MAPS  

Science Conference Proceedings (OSTI)

Use these following maps and floor plans to help locate where you need to go. If you need assistance, ask any TMS Staff member or stop by the Membership ...

414

ARM - Instrument - maps  

NLE Websites -- All DOE Office Websites (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...

415

CistromeMap  

Science Conference Proceedings (OSTI)

Summary: Transcription and chromatin regulators, and histone modifications play essential roles in gene expression regulation. We have created CistromeMap as a web server to provide a comprehensive knowledgebase of all of the publicly available ...

Bo Qin; Meng Zhou; Ying Ge; Len Taing; Tao Liu; Qian Wang; Su Wang; Junsheng Chen; Lingling Shen; Xikun Duan; Sheng'en Hu; Wei Li; Henry Long; Yong Zhang; X. Shirley Liu

2012-05-01T23:59:59.000Z

416

Space Mapping - Optimization Online  

E-Print Network (OSTI)

Thus, we can usec oP–to locally minimize the surrogatecoP that the space. mappingP provides for the fine model“.An alternative surrogate introduced byMadsen ...

417

Directions and Maps  

NLE Websites -- All DOE Office Websites (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

418

Update on Revenue Meters  

Science Conference Proceedings (OSTI)

This technical update provides utilities with an overview of recent activities within AEIC and their subcommittees and working groups. Contained within this document is background information on the overall AEIC organization with expanded detail on the AEIC Meter & Service Committee. Additionally, their role as an integral part and catalyst with EEI’s Metering Committee is demonstrated. Summaries of recent minutes and supporting documentation on specific proposals that include revisions to ...

2013-02-21T23:59:59.000Z

419

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

420

Pennsylvania Average Price of Natural Gas Delivered to Residential...  

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

Percent Sold by Local Distribution Companies 91.2 91.2 2006-2011 Commercial Average Price 12.77 14.29 11.83 10.47 10.42 10.21 1967-2012 Local Distribution Companies 11.29 NA...

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

Michigan Average Price of Natural Gas Delivered to Residential...  

Annual Energy Outlook 2012 (EIA)

8.75 8.56 9.26 11.63 12.68 13.68 1989-2013 Commercial Average Price 7.67 7.51 7.84 8.78 9.69 10.30...

422

HIGH AVERAGE POWER UV FREE ELECTRON LASER EXPERIMENTS AT JLAB  

Science Conference Proceedings (OSTI)

Having produced 14 kW of average power at {approx}2 microns, JLAB has shifted its focus to the ultraviolet portion of the spectrum. This presentation will describe the JLab UV Demo FEL, present specifics of its driver ERL, and discuss the latest experimental results from FEL experiments and machine operations.

Douglas, David; Evtushenko, Pavel; Gubeli, Joseph; Hernandez-Garcia, Carlos; Legg, Robert; Neil, George; Powers, Thomas; Shinn, Michelle D; Tennant, Christopher

2012-07-01T23:59:59.000Z

423

Table WF01. Average Consumer Prices and Expenditures for ...  

U.S. Energy Information Administration (EIA)

Heating Oil U.S. Average Consumption (gallons) 522.7 531.7 572.5 538.2 574.1 465.3 539.9 546.9 1.3 ... Wood 2,094 2,179 2,353 2,424 2,454 2,520 2,582 ...

424

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1  

E-Print Network (OSTI)

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1 Adrian E. Raftery, Fadoua forecasting often exhibit a spread-skill relationship, but they tend to be underdispersive. This paper of PDFs centered around the individual (possibly bias-corrected) forecasts, where the weights are equal

Washington at Seattle, University of

425

Information Leakage via Electromagnetic Emanation and Effectiveness of Averaging Technique  

Science Conference Proceedings (OSTI)

It is well known that there is relationship between electromagnetic emanation and processing information in IT devices such as personal computers and smart cards. In this paper, we show how to estimate amount of information that is leaked as electromagnetic ... Keywords: Tempest, Channel capacity, electromagnetic emanation, averaging technique

Hidema Tanaka

2008-04-01T23:59:59.000Z

426

Spatial analysis based on variance of moving window averages  

E-Print Network (OSTI)

R02 R04 R06 R08 R16 I n Window size B R02 R06 R10 R14 R20R04 R08 R12 R16 R24 R36 I n Window size Wu et al. , Fig. 2Based on Variance of Moving Window Averages B. M. Wu, K. V.

Wu, B M; Subbarao, K V; Ferrandino, F J; Hao, J J

2006-01-01T23:59:59.000Z

427

A Vertically Averaged Circulation Model Using Boundary-Fitted Coordinates  

Science Conference Proceedings (OSTI)

A two-dimensional vertically averaged circulation model using boundary-fitted coordinates has been developed for predicting sea level and currants in estuarine and shelf waters. The basic idea of the approach is to use a set of coupled quasi-...

Malcolm L. Spaulding

1984-05-01T23:59:59.000Z

428

Wind Resource Maps (Postcard)  

DOE Green Energy (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

429

High average power diode pumped solid state lasers for CALIOPE  

Science Conference Proceedings (OSTI)

Diode pumping of solid state media offers the opportunity for very low maintenance, high efficiency, and compact laser systems. For remote sensing, such lasers may be used to pump tunable non-linear sources, or if tunable themselves, act directly or through harmonic crystals as the probe. The needs of long range remote sensing missions require laser performance in the several watts to kilowatts range. At these power performance levels, more advanced thermal management technologies are required for the diode pumps. The solid state laser design must now address a variety of issues arising from the thermal loads, including fracture limits, induced lensing and aberrations, induced birefringence, and laser cavity optical component performance degradation with average power loading. In order to highlight the design trade-offs involved in addressing the above issues, a variety of existing average power laser systems are briefly described. Included are two systems based on Spectra Diode Laboratory`s water impingement cooled diode packages: a two times diffraction limited, 200 watt average power, 200 Hz multi-rod laser/amplifier by Fibertek, and TRW`s 100 watt, 100 Hz, phase conjugated amplifier. The authors also present two laser systems built at Lawrence Livermore National Laboratory (LLNL) based on their more aggressive diode bar cooling package, which uses microchannel cooler technology capable of 100% duty factor operation. They then present the design of LLNL`s first generation OPO pump laser for remote sensing. This system is specified to run at 100 Hz, 20 nsec pulses each with 300 mJ, less than two times diffraction limited, and with a stable single longitudinal mode. The performance of the first testbed version will be presented. The authors conclude with directions their group is pursuing to advance average power lasers. This includes average power electro-optics, low heat load lasing media, and heat capacity lasers.

Comaskey, B.; Halpin, J.; Moran, B.

1994-07-01T23:59:59.000Z

430

Map Data: State Spending | Department of Energy  

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

Spending Map Data: State Spending sedsstatespendingpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

431

Map Data: State Consumption | Department of Energy  

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

Consumption Map Data: State Consumption stateconsumptionpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending...

432

Map Data: DOE Facilities | Department of Energy  

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

DOE Facilities Map Data: DOE Facilities doefacilities.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending Map Data: State Consumption...

433

Nonlocal imaging by conditional averaging of random reference measurements  

E-Print Network (OSTI)

We report the nonlocal imaging of an object by conditional averaging of the random exposure frames of a reference detector, which only sees the freely propagating field from a thermal light source. A bucket detector, synchronized with the reference detector, records the intensity fluctuations of an identical beam passing through the object mask. These fluctuations are sorted according to their values relative to the mean, then the reference data in the corresponding time-bins for a given fluctuation range are averaged, to produce either positive or negative images. Since no correlation calculations are involved, this correspondence imaging technique challenges our former interpretations of "ghost" imaging. Compared with conventional correlation imaging or compressed sensing schemes, both the number of exposures and computation time are greatly reduced, while the visibility is much improved. A simple statistical model is presented to explain the phenomenon.

Kai-Hong Luo; Boqiang Huang; Wei-Mou Zheng; Ling-An Wu

2013-03-22T23:59:59.000Z

434

Database of average-power damage thresholds at 1064 nm  

Science Conference Proceedings (OSTI)

We have completed a database of average-power, laser-induced, damage thresholds at 1064 nm on a variety of materials. Measurements were made with a newly constructed laser to provide design input for moderate and high average-power laser projects. The measurements were conducted with 16-ns pulses at pulse-repetition frequencies ranging from 6 to 120 Hz. Samples were typically irradiated for time ranging from a fraction of a second up to 5 minutes (36,000 shots). We tested seven categories of samples which included antireflective coatings, high reflectors, polarizers, single and multiple layers of the same material, bare and overcoated metal surfaces, bare polished surfaces, and bulk materials. The measured damage threshold ranged from 46 J/cm/sup 2/ for a bare polished glass substrate. 4 refs., 7 figs., 1 tab.

Rainer, F.; Hildum, E.A.; Milam, D.

1987-12-14T23:59:59.000Z

435

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

436

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**

437

Probability density function transformation using seeded localized averaging  

SciTech Connect

Seeded Localized Averaging (SLA) is a spectrum acquisition method that averages pulse-heights in dynamic windows. SLA sharpens peaks in the acquired spectra. This work investigates the transformation of the original probability density function (PDF) in the process of applying SLA procedure. We derive an analytical expression for the resulting probability density function after an application of SLA. In addition, we prove the following properties: 1) for symmetric distributions, SLA preserves both the mean and symmetry. 2) for uni-modal symmetric distributions, SLA reduces variance, sharpening the distributions peak. Our results are the first to prove these properties, reinforcing past experimental observations. Specifically, our results imply that in the typical case of a spectral peak with Gaussian PDF the full width at half maximum (FWHM) of the transformed peak becomes narrower even with averaging of only two pulse-heights. While the Gaussian shape is no longer preserved, our results include an analytical expression for the resulting distribution. Examples of the transformation of other PDFs are presented. (authors)

Dimitrov, N. B. [Operations Research Dept., Naval Postgraduate School, Monterey, CA 93943 (United States); Jordanov, V. T. [Yantel, LLC, Santa Fe, NM 87508 (United States)

2011-07-01T23:59:59.000Z

438

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

439

Site Map - Energy Innovation Portal  

Energy Innovation Portal. Home. Site Map; ... Solar Thermal; Startup America; ... National Aeronautics and Space Administration;

440

Site Map - EERE Commercialization Office  

Quick Links. Energy Innovation Portal; Site Map Commercialization Home Page. About. Success Stories; Legacy Initiatives

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

Mapping the Nanoscale Landscape  

NLE Websites -- All DOE Office Websites (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).

442

Mapping the Nanoscale Landscape  

NLE Websites -- All DOE Office Websites (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).

443

SRNL - Directions and Maps  

NLE Websites -- All DOE Office Websites (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.

444

Mapping the Nanoscale Landscape  

NLE Websites -- All DOE Office Websites (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).

445

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

446

On occult period maps  

E-Print Network (OSTI)

We consider the "occult" period maps into ball quotients which exist for the moduli spaces of cubic surfaces, cubic threefolds, non-hyperelliptic curves of genus three and four. These were constructed in the work of Allcock/Carlson/Toledo, Looijenga/Swierstra, and Kondo. We interpret these maps as morphisms into moduli spaces of polarized abelian varieties of Picard type, and show that these morphisms, whose initial construction is transcendental, are defined over the natural field of definition of the spaces involved. This paper is extracted from section 15 of our paper arXiv:0912.3758, and differs from it only in some points of exposition.

Kudla, Stephen

2012-01-01T23:59:59.000Z

447

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

NLE Websites -- All DOE Office Websites (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

448

Average waiting time profiles of uniform DQDB model  

SciTech Connect

The Distributed Queue Dual Bus (DQDB) system consists of a linear arrangement of N nodes that communicate with each other using two contra-flowing buses; the nodes use an extremely simple protocol to send messages on these buses. This simple, but elegant, system has been found to be very challenging to analyze. We consider a simple and uniform abstraction of this model to highlight the fairness issues in terms of average waiting time. We introduce a new approximation method to analyze the performance of DQDB system in terms of the average waiting time of a node expressed as a function of its position. Our approach abstracts the intimate relationship between the load of the system and its fairness characteristics, and explains all basic behavior profiles of DQDB observed in previous simulation. For the uniform DQDB with equal distance between adjacent nodes, we show that the system operates under three basic behavior profiles and a finite number of their combinations that depend on the load of the network. Consequently, the system is not fair at any load in terms of the average waiting times. In the vicinity of a critical load of 1 {minus} 4/N, the uniform network runs into a state akin to chaos, where its behavior fluctuates from one extreme to the other with a load variation of 2/N. Our analysis is supported by simulation results. We also show that the main theme of the analysis carries over to the general (non-uniform) DQDB; by suitably choosing the inter-node distances, the DQDB can be made fair around some loads, but such system will become unfair as the load changes.

Rao, N.S.V. [Oak Ridge National Lab., TN (United States); Maly, K.; Olariu, S.; Dharanikota, S.; Zhang, L.; Game, D. [Old Dominion Univ., Norfolk, VA (United States). Dept. of Computer Science

1993-09-07T23:59:59.000Z

449

Maps and inverse maps in open quantum dynamics  

Science Conference Proceedings (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

450

Status of Average-x from Lattice QCD  

Science Conference Proceedings (OSTI)

As algorithms and computing power have advanced, lattice QCD has become a precision technique for many QCD observables. However, the calculation of nucleon matrix elements remains an open challenge. I summarize the status of the lattice effort by examining one observable that has come to represent this challenge, average-x: the fraction of the nucleon's momentum carried by its quark constituents. Recent results confirm a long standing tendency to overshoot the experimentally measured value. Understanding this puzzle is essential to not only the lattice calculation of nucleon properties but also the broader effort to determine hadron structure from QCD.

Dru Renner

2011-09-01T23:59:59.000Z

451

Long-term average performance benefits of parabolic trough improvements  

DOE Green Energy (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. This analysis quantifies the relative merit of various technological advancements in improving the long-term average performance of parabolic trough concentrating collectors and presents them graphically as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. Substantial annual energy gains (exceeding 50% at 350/sup 0/C) are shown to be attainable with improved parabolic troughs.

Gee, R.; Gaul, H.; Kearney, D.; Rabl, A.

1979-10-01T23:59:59.000Z

452

battery, map parcel, med  

E-Print Network (OSTI)

Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

Rosenthal, Jeffrey S.

453

Servant dictionary battery, map  

E-Print Network (OSTI)

Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

Rosenthal, Jeffrey S.

454

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

455

A high average power electro-optic switch using KTP  

SciTech Connect

High damage threshold, high thermal conductivity, and small thermo-optic coefficients make KTiOPO{sub 4} (KTP) an attractive material for use in a high average power Q-switch. However, electro-chromic damage and refractive index homogeneity have prevented the utilization of KTP in such a device in the past. This work shows that electro-chromic damage is effectively suppressed using capacitive coupling, and a KTP crystal can be Q-switched for 1.5 {times} 10{sup 9} shots without any detectable electro-chromic damage. In addition, KTP with the high uniformity and large aperture size needed for a KTP electro-optic Q-switch can be obtained from flux crystals grown at constant temperature. A thermally compensated, dual crystal KTP Q-switch, which successfully produced 50 mJ pulses with a pulse width of 8 ns (FWHM), has been constructed. In addition, in off-line testing the Q-switch showed less than 7% depolarization at an average power loading of 3.2 kW/cm{sup 2}.

Ebbers, C.A.; Cook, W.M.; Velsko, S.P.

1994-04-01T23:59:59.000Z

456

[Global warming and the running average sunspot number  

SciTech Connect

It has been reported in your pages that the Bush administration`s views and actions regarding how or whether to react to possible global warming due to greenhouse gases have been influenced by the so-called Marshall report. This unrefereed report, released by the George C. Marshall Institute, had as its principal conclusion the finding that the 0.5{degree} C global warming of the last century was mostly due to solar variability and, thus, the greenhouse warming of the 21st century can be expected to be a relatively small l{degree} C or so. The authors support this finding by comparing the 33-year running average sunspot number with the trend in annual average global temperature and noting the parallel between the two, especially during the 1940s--1960s when the temperature trend was downward. Subsequent letters to Science debated the merits of this and other conclusions contained in the report. I now present additional technical evidence which shows that, quite aside from the question of whether the data presented in the report support its conclusions, the actual figure on which the above conclusion is based is in error.

Fernau, M.E.

1994-05-01T23:59:59.000Z

457

Calculations of nonspherically averaged charge densities for subtitutionally disordered alloys  

Science Conference Proceedings (OSTI)

Based on screening transformations of muffin-tin orbitals introduced by Andersen et al. [Phys. Rev. Lett. 53, 2571 (1984)], we have developed a formalism for calculating the non-spherically averaged charge densities of substitutionally disordered alloys using the Korringa-Kohn-Rostoker coherent potential approximation (KKR CPA) method in the atomic-sphere approximation (ASA). We have validated our method by calculating charge densities for ordered structures, where we find that our approach yields charge densities that are essentially indistinguishable from the results of full-potential methods. For substitutionally disordered alloys, where full-potential methods have not been implemented so far, our approach can be used to calculate reliable non-spherically averaged charge densities from spherically symmetric one-electron potentials obtained from the KKR-ASA CPA. We report on our study of differences in charge denisty between ordered AlLi in L1{sub o} phase and substitutionally disordered Al{sub 0.5}Li{sub 0.5} on face-centered cubic lattice.

Singh, P.P.; Gonis, A.

1994-02-01T23:59:59.000Z

458

Plasma dynamics and a significant error of macroscopic averaging  

E-Print Network (OSTI)

The methods of macroscopic averaging used to derive the macroscopic Maxwell equations from electron theory are methodologically incorrect and lead in some cases to a substantial error. For instance, these methods do not take into account the existence of a macroscopic electromagnetic field EB, HB generated by carriers of electric charge moving in a thin layer adjacent to the boundary of the physical region containing these carriers. If this boundary is impenetrable for charged particles, then in its immediate vicinity all carriers are accelerated towards the inside of the region. The existence of the privileged direction of acceleration results in the generation of the macroscopic field EB, HB. The contributions to this field from individual accelerated particles are described with a sufficient accuracy by the Lienard-Wiechert formulas. In some cases the intensity of the field EB, HB is significant not only for deuteron plasma prepared for a controlled thermonuclear fusion reaction but also for electron plasma in conductors at room temperatures. The corrected procedures of macroscopic averaging will induce some changes in the present form of plasma dynamics equations. The modified equations will help to design improved systems of plasma confinement.

Marek A. Szalek

2005-05-22T23:59:59.000Z

459

Yearly average performance of the principal solar collector types  

DOE Green Energy (OSTI)

The results of hour-by-hour simulations for 26 meteorological stations are used to derive universal correlations for the yearly total energy that can be delivered by the principal solar collector types: flat plate, evacuated tubes, CPC, single- and dual-axis tracking collectors, and central receiver. The correlations are first- and second-order polynomials in yearly average insolation, latitude, and threshold (= heat loss/optical efficiency). With these correlations, the yearly collectible energy can be found by multiplying the coordinates of a single graph by the collector parameters, which reproduces the results of hour-by-hour simulations with an accuracy (rms error) of 2% for flat plates and 2% to 4% for concentrators. This method can be applied to collectors that operate year-around in such a way that no collected energy is discarded, including photovoltaic systems, solar-augmented industrial process heat systems, and solar thermal power systems. The method is also recommended for rating collectors of different type or manufacturer by yearly average performance, evaluating the effects of collector degradation, the benefits of collector cleaning, and the gains from collector improvements (due to enhanced optical efficiency or decreased heat loss per absorber surface). For most of these applications, the method is accurate enough to replace a system simulation.

Rabl, A.

1981-01-01T23:59:59.000Z

460

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

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

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

462

Network-based consensus averaging with general noisy channels  

E-Print Network (OSTI)

This paper focuses on the consensus averaging problem on graphs under general noisy channels. We study a particular class of distributed consensus algorithms based on damped updates, and using the ordinary differential equation method, we prove that the updates converge almost surely to exact consensus for finite variance noise. Our analysis applies to various types of stochastic disturbances, including errors in parameters, transmission noise, and quantization noise. Under a suitable stability condition, we prove that the error is asymptotically Gaussian, and we show how the asymptotic covariance is specified by the graph Laplacian. For additive parameter noise, we show how the scaling of the asymptotic MSE is controlled by the spectral gap of the Laplacian.

Rajagopal, Ram

2008-01-01T23:59:59.000Z

463

Measurement strategies for estimating long-term average wind speeds  

DOE Green Energy (OSTI)

The uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets. Continuous strategies have smaller uncertainties for fixed duration measurement programs, but intermittent strategies make more efficient use of instruments and have smaller uncertainties for a fixed amount of instrument use. Continuous strategies tend to give biased estimates of the long-term annual mean speed unless an integral number of years' data is collected or the measurement program exceeds 3 years in duration. Intermittent strategies with three or more month-long measurement periods per year do not show any tendency toward bias.

Ramsdell, J.V.; Houston, S.; Wegley, H.L.

1980-10-01T23:59:59.000Z

464

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

465

Technology Transfer: Site Map  

NLE Websites -- All DOE Office Websites (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

466

NDB Site Map  

NLE Websites -- All DOE Office Websites (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

467

Automatic annotation of geographic maps  

Science Conference Proceedings (OSTI)

In this paper, we describe an approach to generate semantic descriptions of entities in city maps so that they can be presented through accessible interfaces. The solution we present processes bitmap images containing city map excerpts. Regions of interest ...

Mirko Horstmann; Wilko Heuten; Andrea Miene; Susanne Boll

2006-07-01T23:59:59.000Z

468

book review: Climate change mapped  

E-Print Network (OSTI)

6596  news and update  book review  Climate change mapped atlas is more than just a book of maps.  By  that criterion than  just  a  science  book.   It  also covers climate 

Shanahan, Mike

2012-01-01T23:59:59.000Z

469

Isotone maps on lattices  

E-Print Network (OSTI)

Let (L_i : i\\in I) be a family of lattices in a nontrivial lattice variety V, and let \\phi_i: L_i --> M, for i\\in I, be isotone maps (not assumed to be lattice homomorphisms) to a common lattice M (not assumed to lie in V). We show that the maps \\phi_i can be extended to an isotone map \\phi: L --> M, where L is the free product of the L_i in V. This was known for V the variety of all lattices (Yu. I. Sorkin 1952). The above free product L can be viewed as the free lattice in V on the partial lattice P formed by the disjoint union of the L_i. The analog of the above result does not, however, hold for the free lattice L on an arbitrary partial lattice P. We show that the only codomain lattices M for which that more general statement holds are the complete lattices. On the other hand, we prove the analog of our main result for a class of partial lattices P that are not-quite-disjoint unions of lattices. We also obtain some results similar to our main one, but with the relationship lattices:orders replaced either...

Bergman, G M

2011-01-01T23:59:59.000Z

470

Site Map - Energy Innovation Portal  

Energy Innovation Portal Technologies. ... Home. Site Map; Printable Version; Share this resource. About; Search; Categories (15) Advanced Materials; Biomass and ...

471

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

472

User hints for map labelling  

Science Conference Proceedings (OSTI)

The Map Labelling Problem appears in several applications, mainly in Cartography. Although much research on this problem has been done, it is interesting to note that map-labelling processes in commercial fields are very often executed manually ... Keywords: combinatorial optimisation, map labelling, user hints

Hugo A. D. do Nascimento; Peter Eades

2003-02-01T23:59:59.000Z

473

The metro map layout problem  

Science Conference Proceedings (OSTI)

We initiate a new problem of automatic metro map layout. In general, a metro map consists of a set of lines which have intersections or overlaps. We define a set of aesthetic criteria for good metro map layouts and present a method to produce ...

Seok-Hee Hong; Damian Merrick; Hugo A. D. do Nascimento

2004-09-01T23:59:59.000Z

474

Bayesian inference with optimal maps  

Science Conference Proceedings (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established ... Keywords: Bayesian inference, Inverse problems, Measure-preserving maps, Numerical optimization, Optimal transport, Polynomial chaos

Tarek A. El Moselhy; Youssef M. Marzouk

2012-10-01T23:59:59.000Z

475

Plate with a hole obeys the averaged null energy condition  

SciTech Connect

The negative energy density of Casimir systems appears to violate general relativity energy conditions. However, one cannot test the averaged null energy condition (ANEC) using standard calculations for perfectly reflecting plates, because the null geodesic would have to pass through the plates, where the calculation breaks down. To avoid this problem, we compute the contribution to ANEC for a geodesic that passes through a hole in a single plate. We consider both Dirichlet and Neumann boundary conditions in two and three space dimensions. We use a Babinet's principle argument to reduce the problem to a complementary finite disk correction to the perfect mirror result, which we then compute using scattering theory in elliptical and spheroidal coordinates. In the Dirichlet case, we find that the positive correction due to the hole overwhelms the negative contribution of the infinite plate. In the Neumann case, where the infinite plate gives a positive contribution, the hole contribution is smaller in magnitude, so again ANEC is obeyed. These results can be extended to the case of two plates in the limits of large and small hole radii. This system thus provides another example of a situation where ANEC turns out to be obeyed when one might expect it to be violated.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2005-07-15T23:59:59.000Z

476

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

477

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

478

Long-term average performance benefits of parabolic trough improvements  

DOE Green Energy (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. The difficulty of achieving these improvements varies as does their potential for increasing parabolic trough performance. The purpose of this analysis is to quantify the relative merit of various technology advancements in improving the long-term average performance of parabolic trough concentrating collectors. The performance benefits of improvements are determined as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. The results are presented graphically to allow a quick determination of the performance merits of particular improvements. Substantial annual energy gains are shown to be attainable. Of the improvements evaluated, the development of stable back-silvered glass reflective surfaces offers the largest performance gain for operating temperatures below 150/sup 0/C. Above 150/sup 0/C, the development of trough receivers that can maintain a vacuum is the most significant potential improvement. The reduction of concentrator slope errors also has a substantial performance benefit at high operating temperatures.

Gee, R.; Gaul, H.W.; Kearney, D.; Rabl, A.

1980-03-01T23:59:59.000Z

479

PMCDP Curriculum Map | Department of Energy  

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

Technology Centers Field Sites Power Marketing Administration Other Agencies You are here Home PMCDP Curriculum Map PMCDP Curriculum Map PMCDP Curriculum Map January 2013.pdf...

480

Ocean Map National | Data.gov  

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

National Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Featured Maps The following maps are from data...

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.


481

Map Data: Total Production | Department of Energy  

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

Total Production Map Data: Total Production totalprod2009final.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

482

Map Data: Renewable Production | Department of Energy  

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

Renewable Production Map Data: Renewable Production renewprod2009.csv More Documents & Publications Map Data: Total Production Map Data: State Consumption Directory of Potential...

483

Google maps | OpenEI Community  

Open Energy Info (EERE)

Google maps Home Jweers's picture Submitted by Jweers(83) Contributor 16 May, 2013 - 15:22 Multicolor Maps from Compound Queries ask queries compound queries developer Google maps...

484

Power Technologies Energy Data Book: Fourth Edition, Chapter...  

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

Table 8.3 - Electricity Sales, Revenue, and Consumption by Census Division and State, 2004 Census Division and State Sales (MWh) Revenue (million ) Average Revenue (kWh)...

485

An algorithm for map enumeration  

E-Print Network (OSTI)

Bauer and Itzykson showed that associated to each labeled map embedded on an oriented Riemann surface there was a group generated by a pair of permutations. From this result an algorithm may be constructed for enumerating labeled maps, and this construction is easily augmented to bin the numbers by the genus of the surface the map is embedded in. The results agree with the calculations of Harer and Zagier of 1-vertex maps; with those of Bessis, Itzykson, and Zuber of 4-valent maps; and with those of Ercolani, McLaughlin, and Pierce for $2\

Virgil U. Pierce

2006-10-19T23:59:59.000Z

486

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships  

E-Print Network (OSTI)

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships BAYMAP: CHARTING communities and underwater archaeological sites in a readily accessible GIS format. An interdisciplinary team underwater resources, including bathymetry, habitat, geology, soils/ sediment, and archeological resources

Wang, Y.Q. "Yeqiao"

487

2012 Brief: Average 2012 crude oil prices remain near 2011 levels ...  

U.S. Energy Information Administration (EIA)

Brent crude oil averaged $111.67 per barrel, slightly above the 2011 average of $111.26. West Texas Intermediate oil averaged $94.05 per barrel in 2012, ...

488

Quantitive DNA Fiber Mapping  

SciTech Connect

Several hybridization-based methods used to delineate single copy or repeated DNA sequences in larger genomic intervals take advantage of the increased resolution and sensitivity of free chromatin, i.e., chromatin released from interphase cell nuclei. Quantitative DNA fiber mapping (QDFM) differs from the majority of these methods in that it applies FISH to purified, clonal DNA molecules which have been bound with at least one end to a solid substrate. The DNA molecules are then stretched by the action of a receding meniscus at the water-air interface resulting in DNA molecules stretched homogeneously to about 2.3 kb/{micro}m. When non-isotopically, multicolor-labeled probes are hybridized to these stretched DNA fibers, their respective binding sites are visualized in the fluorescence microscope, their relative distance can be measured and converted into kilobase pairs (kb). The QDFM technique has found useful applications ranging from the detection and delineation of deletions or overlap between linked clones to the construction of high-resolution physical maps to studies of stalled DNA replication and transcription.

Lu, Chun-Mei; Wang, Mei; Greulich-Bode, Karin M.; Weier, Jingly F.; Weier, Heinz-Ulli G.

2008-01-28T23:59:59.000Z

489

Widget:GasMap | Open Energy Information  

Open Energy Info (EERE)

Widget:GasMap Jump to: navigation, search Gas map widget: The Gas Map displays real-time gas prices for the United States Example Output Gas map widget: Denver Gas Prices provided...

490

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

U.S. Energy Information Administration (EIA)

Electric Power Monthly. Released October 24, 2013. ... electricity sales, revenue, and average revenue per kilowatthour of electricity sold. ...

491

EERE: Weatherization and Intergovernmental Program - Site Map  

NLE Websites -- All DOE Office Websites (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

492

Report Title: Mapping  

NLE Websites -- All DOE Office Websites (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,

493

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,

494

SRS - Website Map  

NLE Websites -- All DOE Office Websites (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)

495

Cosmic string induced CMB maps  

SciTech Connect

We compute maps of CMB temperature fluctuations seeded by cosmic strings using high resolution simulations of cosmic strings in a Friedmann-Robertson-Walker universe. We create full-sky, 18 deg. and 3 deg. CMB maps, including the relevant string contribution at each resolution from before recombination to today. We extract the angular power spectrum from these maps, demonstrating the importance of recombination effects. We briefly discuss the probability density function of the pixel temperatures, their skewness, and kurtosis.

Landriau, M. [Max-Planck-Institut fuer extraterrestrische Physik, Giessenbachstrasse 1, 85748 Garching (Germany); Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA (United Kingdom); Shellard, E. P. S. [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA (United Kingdom)

2011-02-15T23:59:59.000Z

496

Gasification Systems Projects National Map  

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

Gasification Systems Gasification Systems Projects National Map Click on a number to go to the project page. Hybrid Solar Coal Gasifier ITM Oxygen Technology for Integration in...

497

C:\\DOCS\\MAP.QA  

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

associated with maps developed for the Department of Energy Oak Ridge Operations (DOE-ORO) Environmental Management (EM) Program. Specifically, this form verifies that...

498

X-ray fluorescence mapping  

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

Applications reach from the mapping of trace metals in single biololgical cells, over the measurement of impurities in solar cells, to the rare earth content of geological...

499

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

500

,"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