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Note: This page contains sample records for the topic "variables total retail" from the National Library of EnergyBeta (NLEBeta).
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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

California Total Gasoline Retail Sales by Refiners (Thousand ...  

U.S. Energy Information Administration (EIA)

California Total Gasoline Retail Sales by Refiners (Thousand Gallons per Day) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1990's ...

2

Michigan Total Gasoline Retail Sales by Refiners (Thousand Gallons ...  

U.S. Energy Information Administration (EIA)

Michigan Total Gasoline Retail Sales by Refiners (Thousand Gallons per Day) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1990's: 3,004.6:

3

"2012 Utility Bundled Retail Sales- Total"  

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

Total" Total" "(Data from forms EIA-861- schedules 4A & 4D and EIA-861S)" "Entity","State","Ownership","Customers (Count)","Sales (Megawatthours)","Revenues (Thousands Dollars)","Average Price (cents/kWh)" "Alaska Electric Light&Power Co","AK","Investor Owned",16180,399144,41820,10.477422 "Alaska Power and Telephone Co","AK","Investor Owned",6976,64788,18175,28.053035 "Alaska Village Elec Coop, Inc","AK","Cooperative",7923,73956,42708,57.74785 "Anchorage Municipal Light and Power","AK","Municipal",30747,1100665,100959.2,9.1725639 "Barrow Utils & Elec Coop, Inc","AK","Cooperative",1871,49580,5293,10.675676

4

"2012 Retail Power Marketers Sales- Total"  

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

Total" Total" "(Data from form EIA-861 schedule 4B)" "Entity","State","Ownership","Customers (Count)","Sales (Megawatthours)","Revenues (Thousands Dollars)","Average Price (cents/kWh)" "3 Phases Renewables","CA","Power Marketer",354,148820,7268.5,4.8840882 "Calpine Power America LLC","CA","Power Marketer",1,1072508,54458,5.0776311 "City of Corona - (CA)","CA","Municipal",859,65933,5749.5,8.720216 "Commerce Energy, Inc.","CA","Power Marketer",23386,596604,37753,6.3279831 "Constellation NewEnergy, Inc","CA","Power Marketer",362,4777373,250287.4,5.2390173

5

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

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

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

6

Energy Implications of Retrofitting Retail Sector Rooftop Units with Stepped-Speed and Variable-Speed Functionality  

Science Conference Proceedings (OSTI)

Commercial retailers understand that retrofitting constant-speed RTU fan motors with stepped- or variable-speed alternatives could save significant energy in most U.S. climate zones. However, they lack supporting data, both real-world and simulation based, on the cost effectiveness and climate zone-specific energy savings associated with this measure. Thus, building managers and engineers have been unable to present a compelling business case for fan motor upgrades to upper management. This study uses whole-building energy simulation to estimate the energy impact of this type of measure so retailers can determine its economic feasibility.

Studer, D.; Romero, R.; Herrmann, L.; Benne, K.

2012-04-01T23:59:59.000Z

7

Total Solar Irradiance Variability and the Solar Activity Cycle  

E-Print Network (OSTI)

It is suggested that the solar variability is due to the perturbed nature of the solar core and this variability is provided by the variability of the solar neutrino flux from the solar neutrino detectors i.e., Homestake, Superkamiokande, SAGE and GALLEX-GNO. The solar neutrino flux in the standard solar model (SSM) was calculated on the assumption of L_nu (neutrino luminosity) = L_gamma (optical luminosity) which implies that if there is a change in optical luminosity then solar neutrino flux data will also be changed. An internal dynamo due to the cyclic variation of nuclear energy generation inside the core of the sun is responsible for the solar activity cycle was suggested and thus the internal magnetic field is also variable. Again the changes in the nuclear energy generation induce structural changes that result in variations of the global solar parameters i.e., luminosity, radius and temperatures etc. From the analysis of total solar irradiance (TSI) data during the year from 1970 to 2003 we have foun...

Raychaudhuri, P

2006-01-01T23:59:59.000Z

8

Total Solar Irradiance Variability and the Solar Activity Cycle  

E-Print Network (OSTI)

It is suggested that the solar variability is due to the perturbed nature of the solar core and this variability is provided by the variability of the solar neutrino flux from the solar neutrino detectors i.e., Homestake, Superkamiokande, SAGE and GALLEX-GNO. The solar neutrino flux in the standard solar model (SSM) was calculated on the assumption of L_nu (neutrino luminosity) = L_gamma (optical luminosity) which implies that if there is a change in optical luminosity then solar neutrino flux data will also be changed. An internal dynamo due to the cyclic variation of nuclear energy generation inside the core of the sun is responsible for the solar activity cycle was suggested and thus the internal magnetic field is also variable. Again the changes in the nuclear energy generation induce structural changes that result in variations of the global solar parameters i.e., luminosity, radius and temperatures etc. From the analysis of total solar irradiance (TSI) data during the year from 1970 to 2003 we have found five phases within the solar activity cycle. The first phase (I) starts before two years from the sunspot minimum. The second phase (II) starts at the time of sunspot minimum and phase (III) starts before 2/3 years from sunspot maximum whereas phase (IV) starts at sunspot maximum and fifth phase (V) starts at after 2-3 years from sunspot maximum.

Probhas Raychaudhuri

2006-01-16T23:59:59.000Z

9

Category:StandAloneRetail | Open Energy Information  

Open Energy Info (EERE)

StandAloneRetail StandAloneRetail Jump to: navigation, search Go Back to PV Economics By Building Type Media in category "StandAloneRetail" The following 77 files are in this category, out of 77 total. SVStandAloneRetail Atlantic City NJ Public Service Elec & Gas Co.png SVStandAloneRetail Atl... 63 KB SVStandAloneRetail Bismarck ND Montana-Dakota Utilities Co (North Dakota).png SVStandAloneRetail Bis... 70 KB SVStandAloneRetail Burlington VT Central Vermont Pub Serv Corp.png SVStandAloneRetail Bur... 68 KB SVStandAloneRetail Cedar City UT Moon Lake Electric Assn Inc (Utah).png SVStandAloneRetail Ced... 57 KB SVStandAloneRetail Charleston SC South Carolina Electric&Gas Co.png SVStandAloneRetail Cha... 67 KB SVStandAloneRetail Cheyenne WY Powder River Energy Corporation.png

10

Retail Unbundling  

Reports and Publications (EIA)

This special report provides a brief summary of the status of retail unbundling programs (also known as "customer choice" programs) for residential natural gas customers in various States,

Information Center

1999-07-01T23:59:59.000Z

11

Vertical relationships between manufacturers and retailers: inference with limited data  

E-Print Network (OSTI)

Electricity (industrial) OH Dependent Variable = Expon (Price -price IL Retail rental IL Gasoline IL Gasoline OH Electricity (industrial) IL Electricity (price IL Retail rental IL Gasoline IL Gasoline OH Electricity (industrial) IL Electricity (

Villas-Boas, Sofia B.

2006-01-01T23:59:59.000Z

12

Alternative Fuels Data Center: E85 Retail Sales Reporting  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Retail Sales Retail Sales Reporting to someone by E-mail Share Alternative Fuels Data Center: E85 Retail Sales Reporting on Facebook Tweet about Alternative Fuels Data Center: E85 Retail Sales Reporting on Twitter Bookmark Alternative Fuels Data Center: E85 Retail Sales Reporting on Google Bookmark Alternative Fuels Data Center: E85 Retail Sales Reporting on Delicious Rank Alternative Fuels Data Center: E85 Retail Sales Reporting on Digg Find More places to share Alternative Fuels Data Center: E85 Retail Sales Reporting on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type E85 Retail Sales Reporting A retailer who dispenses E85 must report to the Indiana Department of State Revenue the total number of gallons of E85 sold from a metered pump.

13

A population-based variable neighborhood search for the single machine total weighted tardiness problem  

Science Conference Proceedings (OSTI)

This paper investigates the single machine total weighted tardiness problem, in which a set of independent jobs with distinct processing times, weights, and due dates are to be scheduled on a single machine to minimize the sum of weighted tardiness of ... Keywords: Single machine scheduling, Total weighted tardiness, Variable neighborhood search

Xianpeng Wang; Lixin Tang

2009-06-01T23:59:59.000Z

14

Retail Unbundling - Utah  

Gasoline and Diesel Fuel Update (EIA)

Utah Retail Unbundling - Utah Status: The State has no unbundled service programs for residential customers. Overview: No retail unbundling program is being considered at this time...

15

Retail Electricity Competition  

E-Print Network (OSTI)

Reliability and Competitive Electricity Markets” mimeo, MITCSEM WP 130 Retail Electricity Competition * Paul Joskow andwww.ucei.org Retail Electricity Competition ? Paul Joskow †

Joskow, Paul; Tirole, Jean

2004-01-01T23:59:59.000Z

16

Alternative Fuels Data Center: Biodiesel Blend Retailer Tax Credit  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Biodiesel Blend Biodiesel Blend Retailer Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Blend Retailer Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Blend Retailer Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Blend Retailer Tax Credit on Google Bookmark Alternative Fuels Data Center: Biodiesel Blend Retailer Tax Credit on Delicious Rank Alternative Fuels Data Center: Biodiesel Blend Retailer Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Blend Retailer Tax Credit on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Biodiesel Blend Retailer Tax Credit Retailers whose total diesel sales consist of at least 50% biodiesel blends

17

Retail Unbundling - Maryland  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Maryland. Status: The state has partially implemented comprehensive unbundling programs for its residential gas customers.

18

Retail Unbundling - Pennsylvania  

U.S. Energy Information Administration (EIA)

Regulatory and Legislative Actions on Retail Unbundling Summary: The Pennsylvania General Assembly passed the Natural Gas Choice and Competition Act ...

19

Retail Unbundling - California  

U.S. Energy Information Administration (EIA)

Regulatory and Legislative Actions on Retail Unbundling Summary: The California Public Utilities Commission (PUC) endorsed restructuring in a collaborative ...

20

Retail Unbundling - New York  

U.S. Energy Information Administration (EIA)

Retail Unbundling - New York. Status: The state has comprehensive unbundling programs for its residential gas customers. Overview: Natural gas ...

Note: This page contains sample records for the topic "variables total retail" 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

Total..........................................................  

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

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

22

Facility automation for retail facilities  

Science Conference Proceedings (OSTI)

This article will focus on retail chain stores with areas of 22,000 to 75,000 sq ft, but much of the article will apply to all retail stores independent of size. Typically, a store is serviced by 5 to 15 rooftop HVAC units with a total cooling capacity of 50 to 150 tons, depending on the floor area and geographic location. The interior lighting represents a load of 80 to 300 KW with three lighting levels--retail, stocking, and security or night. Most stores are located in strip centers, and therefore, the parking lot lighting is provided by the landlord, but each store does control and service its own sign lighting. Generally, the total load controlled by an FAS represents 130 to 450 KW with corresponding annual energy costs ranging from $65,000 to $200,000 (natural gas and electricity), depending on the size of the store and the local unit costs of energy. Historical utility data, electrical and mechanical drawings, site surveys, significant analyses of data, and most importantly, discussions with corporate facilities management personnel and store operations personnel provide the source for the development theory and sequence of operation of the design of the facility automation systems for retail stores. The three main goals of an FAS are: reduce utility operating costs, maintain comfort levels during occupied hours, reduce HVAC maintenance costs.

Ameduri, G. (Roth Bros., Inc., Youngstown, OH (United States). Facilities Automation Division)

1994-12-01T23:59:59.000Z

23

Total..........................................................  

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

Division Total West Mountain Pacific Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

24

Total..........................................................  

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC13.7...

25

Total..........................................................  

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC12.7...

26

Total..........................................................  

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC11.7...

27

Total..........................................................  

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

Census Division Total South Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

28

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

(millions) Census Division Total West Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC14.7...

29

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

30

Total............................................................  

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

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

31

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

32

Retail Unbundling - Montana  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Montana. Status: The state has two pilot unbundling programs for residential gas customers. Overview: Two local distribution companies (LDCs) in ...

33

Retail Unbundling - Texas  

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

Home > Natural Gas > Natural Gas Residential Choice Programs > Texas Retail Unbundling - Texas Status: The State has no active residential customer choice programs, but some...

34

Retail Unbundling - Idaho  

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

Home > Natural Gas > Natural Gas Residential Choice Programs > Idaho Retail Unbundling - Idaho Status: The State has no unbundled service programs for residential customers....

35

Retail Unbundling - New Mexico  

U.S. Energy Information Administration (EIA)

Retail Unbundling - New Mexico. Status: All residential customers in the state are allowed to choose natural gas suppliers, but no one is participating.

36

Retail Unbundling - Texas  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Texas. Status: The state has no active residential customer choice programs, but some municipalities have formed cooperative arrangements with ...

37

Retail Unbundling - South Dakota  

Gasoline and Diesel Fuel Update (EIA)

Home > Natural Gas > Natural Gas Residential Choice Programs > South Dakota Retail Unbundling - South Dakota Status: Some residential customers in the State have access to...

38

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

39

Effect of Traffic on Sales and Conversion Rates of Retail Stores  

Science Conference Proceedings (OSTI)

Attracting shoppers to stores and converting the incoming traffic into sales profitably are vital for the financial health of retailers. In this paper, we use proprietary data pertaining to an apparel retailer to study the relationship between store ... Keywords: retail operations, store labor management, store performance, traffic uncertainty, traffic variability

Olga Perdikaki; Saravanan Kesavan; Jayashankar M. Swaminathan

2012-01-01T23:59:59.000Z

40

Total..........................................................................  

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

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

Note: This page contains sample records for the topic "variables total retail" 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

Total..........................................................................  

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

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

42

Total.........................................................................  

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

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

43

Total..........................................................................  

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

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

44

Total..........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

45

Total..........................................................  

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

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

46

Total...................................................................  

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

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

47

Total..........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

48

Total..........................................................................  

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

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

49

Total...........................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

50

Total...........................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

51

Total................................................  

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

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

52

Retail electricity competition  

E-Print Network (OSTI)

We analyze a number of unstudied aspects of retail electricity competition. We first explore the implications of load profiling of consumers whose traditional meters do not allow for measurement of their real time consumption, ...

Joskow, Paul L.

2004-01-01T23:59:59.000Z

53

Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study  

E-Print Network (OSTI)

Goldman, G. (2009) Retail demand response in Southwest PowerCoordination of retail demand response with Midwest ISO2010. 110 pages. Demand Response and Variable Generation

Cappers, Peter

2012-01-01T23:59:59.000Z

54

Retail Unbundling - Ohio - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Ohio. Status: The state has partially implemented comprehensive unbundling programs for its residential customers. Overview: Retail unbundling by ...

55

Variability and Trends of Total Precipitation and Snowfall over the United States and Canada  

Science Conference Proceedings (OSTI)

The biases and large-scale inhomogeneities in the time series of measured precipitation and snowfall over the United States and Canada are discussed and analyzed. The spatial statistical characteristics of monthly and annual snowfall and total ...

Pavel Ya Groisman; David R. Easterling

1994-01-01T23:59:59.000Z

56

Retail: Looking for Energy Solutions  

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

index for all retail building types. > Set Energy Performance Goals. SPPs use the ENERGY STAR Commercial Building Design Guidance to help you set meaningful goals and...

57

ENERGY STAR Score for Retail Stores  

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

100 percentile ranking of performance, relative to the national population. Property Types. The ENERGY STAR score for retail stores applies to retail stores and wholesale...

58

Market Structure Across Retail Formats  

Science Conference Proceedings (OSTI)

We study how market structure within a product category varies across retail formats. Building on the literature on internal market structure, we estimate a joint store and brand choice model where the loading matrix of brand attributes are allowed to ... Keywords: brand maps, heterogeniety, market structure, retail formats

Karsten Hansen; Vishal Singh

2009-07-01T23:59:59.000Z

59

Regional Retail Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Retail gasoline prices, like those for distillate fuels, have hit record prices nationally and in several regions this year. The national average regular gasoline price peaked at $1.68 per gallon in mid-June, but quickly declined, and now stands at $1.45, 17 cents higher than a year ago. Two regions, in particular, experienced sharp gasoline price runups this year. California, which often has some of the highest prices in the nation, saw prices peak near $1.85 in mid-September, while the Midwest had average prices over $1.87 in mid-June. Local prices at some stations in both areas hit levels well over $2.00 per gallon. The reasons for the regional price runups differed significantly. In the Midwest, the introduction of Phase 2 RFG was hampered by low stocks,

60

Retail Motor Gasoline Prices*  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Gasoline pump prices have backed down from the high prices experienced last summer and fall. The retail price for regular motor gasoline fell 11 cents per gallon from September to December. However, with crude oil prices rebounding somewhat from their December lows combined with lower than normal stock levels, we project that prices at the pump will rise modestly as the 2001 driving season begins this spring. For the summer of 2001, we expect only a little difference from the average price of $1.50 per gallon seen during the previous driving season, as motor gasoline stocks going into the driving season are projected to be slightly less than they were last year. The situation of relatively low inventories for gasoline could set the stage for some regional imbalances in supply that could once again

Note: This page contains sample records for the topic "variables total retail" 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

Reliant Energy Retail Services, LLC Smart Grid Project | Open Energy  

Open Energy Info (EERE)

Reliant Energy Retail Services, LLC Reliant Energy Retail Services, LLC Country United States Headquarters Location Houston, Texas Recovery Act Funding $19839689 Total Project Value $63696548 Coverage Area Coverage Map: Reliant Energy Retail Services, LLC Smart Grid Project Coordinates 29.7632836°, -95.3632715° 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":[]}

62

Price of Motor Gasoline Through Retail Outlets  

Gasoline and Diesel Fuel Update (EIA)

Prices, Sales Volumes & Stocks by State Prices, Sales Volumes & Stocks by State (Dollars per Gallon Excluding Taxes) Data Series: Retail Price - Motor Gasoline Retail Price - Regular Gasoline Retail Price - Midgrade Gasoline Retail Price - Premium Gasoline Retail Price - Aviation Gasoline Retail Price - Kerosene-Type Jet Fuel Retail Price - Propane Retail Price - Kerosene Retail Price - No. 1 Distillate Retail Price - No. 2 Distillate Retail Price - No. 2 Fuel Oil Retail Price - No. 2 Diesel Fuel Retail Price - No. 4 Fuel Oil Prime Supplier Sales - Motor Gasoline Prime Supplier Sales - Regular Gasoline Prime Supplier Sales - Midgrade Gasoline Prime Supplier Sales - Premium Gasoline Prime Supplier Sales - Aviation Gasoline Prime Supplier Sales - Kerosene-Type Jet Fuel Prime Supplier Sales - Propane (Consumer Grade) Prime Supplier Sales - Kerosene Prime Supplier Sales - No. 1 Distillate Prime Supplier Sales - No. 2 Distillate Prime Supplier Sales - No. 2 Fuel Oil Prime Supplier Sales - No. 2 Diesel Fuel Prime Supplier Sales - No. 4 Fuel Oil Prime Supplier Sales - Residual Fuel Oil Stocks - Finished Motor Gasoline Stocks - Reformulated Gasoline Stocks - Conventional Gasoline Stocks - Motor Gasoline Blending Components Stocks - Kerosene Stocks - Distillate Fuel Oil Stocks - Distillate F.O., 15 ppm and under Sulfur Stocks - Distillate F.O., Greater than 15 to 500 ppm Sulfur Stocks - Distillate F.O., Greater 500 ppm Sulfur Stocks - Residual Fuel Oil Stocks - Propane/Propylene Period: Monthly Annual

63

Price adjustment at multiproduct retailers  

E-Print Network (OSTI)

We empirically study the price adjustment process at multiproduct retail stores. We use a unique store level data set for five large supermarket and one drugstore chains in the U.S., to document the exact process required to change prices. Our data set allows us to study this process in great detail, describing the exact procedure, stages, and steps undertaken during the price change process. We also discuss various aspects of the microeconomic environment in which the price adjustment decisions are made, factors affecting the price adjustment decisions, and firm-level implications of price adjustment decisions. Specifically, we examine the effects of the complexity of the price change process on the stores ’ pricing strategy. We also study how the steps involved in the price change process, combined with the laws governing the retail price setting and adjustment, along with the competitive market structure of the retail grocery industry, influence the frequency of price changes. We also examine how the mistakes that occur in the price change process influence the actions taken by these multiproduct retailers. In particular, we study how these mistakes can make the stores vulnerable to civil law suits and penalties, and also damage their reputation. We also show how the mistakes can lead to stockouts or unwanted inventory accumulations. Finally, we discuss how retail stores try to minimize these

Daniel Levy; Mark Bergen; Robert Venable; Robert W. Baird

1998-01-01T23:59:59.000Z

64

Retail Unbundling - Kentucky  

U.S. Energy Information Administration (EIA)

Larger volume customers throughout the State have had access to unbundled service ... Number of Customers . Customer Type. Total 2004. Eligible ...

65

Texas Retail Energy, LLC | Open Energy Information  

Open Energy Info (EERE)

Texas Retail Energy, LLC Place Arkansas Utility Id 50046 Utility Location Yes Ownership R ISO Ercot Yes ISO NY Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final...

66

SPP sales flyer for retail | ENERGY STAR  

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

for retail Need a hand preparing for an upcoming sales call? This fact sheet provides energy use facts for the retail sector, tips on how to talk to this audience, opportunities...

67

Measuring Devices: Compressed Natural Gas Retail Motor ...  

Science Conference Proceedings (OSTI)

Compressed Natural Gas Retail Motor-Fuel Dispensers. ... Hydrogen Measuring Devices; Liquefied Petroleum Gas Liquid-Measuring Devices; ...

2010-10-05T23:59:59.000Z

68

Retail Unbundling - Virginia - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Virginia. Status: The state has begun the process of implementing comprehensive unbundling programs for its residential gas customers.

69

Retail Unbundling - Michigan - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling- Michigan. Status: The state has begun the process of implementing comprehensive unbundling programs for its residential gas customers.

70

Retail Unbundling - Colorado - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Colorado. Status: The state has begun the process of implementing comprehensive unbundling programs for its residential gas customers.

71

Retail Motor-Fuel Dispensers and Consoles  

Science Conference Proceedings (OSTI)

Retail Motor-Fuel Dispensers and Consoles. Purpose: This 5-day RMFD course provides participants with the knowledge ...

2013-01-11T23:59:59.000Z

72

Retail Unbundling - New Mexico - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - New Mexico. Status: The state has a comprehensive unbundling program available for residential customers. Overview: New Mexico has ...

73

Retail Unbundling - New York - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - New York. Status: The state has comprehensive unbundling programs for its residential gas customers. Overview: Natural gas ...

74

Retail battle for conservation dollars  

SciTech Connect

Large companies are entering the profitable retail market with conservation equipment and services that will compete for a share of the $10 to $80 billion Americans will spend on energy efficiency this year. Energy centers and clinics are also opening around the country to market products and compete with the utilities for energy audit business. The new retailing efforts are counting on homeowners' willingness to spend money to lower their energy bills. The smaller companies hope to hold their own against competition from large corporations. (DCK)

McCaughey, J.

1981-07-16T23:59:59.000Z

75

Strategic Assortment Reduction by a Dominant Retailer  

Science Conference Proceedings (OSTI)

In certain product categories, large discount retailers are known to offer shallower assortments than traditional retailers. In this paper, we investigate the competitive incentives for such assortment decisions and the implications for manufacturers' ... Keywords: assortment, channel power, channels of distribution, retailing

Anthony J. Dukes; Tansev Geylani; Kannan Srinivasan

2009-03-01T23:59:59.000Z

76

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

77

Retail Unbundling - West Virginia  

U.S. Energy Information Administration (EIA)

The average price paid by commercial customers for natural gas purchased from LDCs was $7.04 per ... Estimated Number of Customers. Customer Type. Total 2001. Eligible.

78

Number of Retail Customers by State by Sector, 1990-2012  

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

Number of Retail Customers by State by Sector, 1990-2012" Number of Retail Customers by State by Sector, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",275405,48790,1263,0,"NA",325458 2012,"AL","Total Electric Industry",2150977,357395,7168,0,"NA",2515540 2012,"AR","Total Electric Industry",1332154,181823,33926,2,"NA",1547905 2012,"AZ","Total Electric Industry",2585638,305250,7740,0,"NA",2898628 2012,"CA","Total Electric Industry",13101887,1834779,73805,12,"NA",15010483

79

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

80

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990  

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

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",2160196,2875038,1381177,0,"NA",6416411 2012,"AL","Total Electric Industry",30632261,21799181,33751106,0,"NA",86182548 2012,"AR","Total Electric Industry",17909301,12102048,16847755,463,"NA",46859567 2012,"AZ","Total Electric Industry",32922970,29692256,12448117,0,"NA",75063343 2012,"CA","Total Electric Industry",90109995,121791536,46951714,684793,"NA",259538038

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


81

Retail Price Drivers and their Financial Consequences  

E-Print Network (OSTI)

making the data available. Retail Price Drivers and their Financial Consequences What are the drivers of retailers ' prices and what, if any, are their financial consequences? The results of a large-scale quantitative analysis show that retail prices are mainly driven by pricing history (50%), acquisition costs (25%), and demand feedback (12.5%). In contrast to pricing history, demand-based pricing is associated with higher retailer (and manufacturer) financial performance. The remaining price drivers: category management, store traffic, and store brand performance, affect manufacturer and retailer performance in more complex ways.

Shuba Srinivasan; Koen Pauwels; Vincent Nijs; Mike Hanssens; Carl Mela; Scott Neslin For Comments; Suggestions The Paper

2003-01-01T23:59:59.000Z

82

RECONCILIATION OF RETAILER CLAIMS, 2002  

E-Print Network (OSTI)

electricity generators who report meter data to a system operator to also report generation, fuel type requires retail providers of electricity to disclose fuel source information to consumers about, and fuel type consumed (as a percentage of generation) data to the system operator on a quarterly basis

83

Retail Market Based Pricing: Retail Market Based Pricing - Three Cases  

Science Conference Proceedings (OSTI)

Customers are not provided with incentives for efficient conservation and substitution of electricity away from peak periods if they do not face prices that reflect the real-time cost of purchasing wholesale electricity that is experienced by their retail energy provider. Recent events in California's restructured electricity market underscore the importance of developing products and structures that enable demand response to changes in prices in these markets. This report assembles three studies of cust...

2001-10-25T23:59:59.000Z

84

Alternative Fuels Data Center: Biodiesel Retail and Storage Requirements  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Biodiesel Retail and Biodiesel Retail and Storage Requirements to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Retail and Storage Requirements on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Retail and Storage Requirements on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Retail and Storage Requirements on Google Bookmark Alternative Fuels Data Center: Biodiesel Retail and Storage Requirements on Delicious Rank Alternative Fuels Data Center: Biodiesel Retail and Storage Requirements on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Retail and Storage Requirements on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Biodiesel Retail and Storage Requirements

85

Retail Diesel Fuel Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Along with heating oil prices, the distillate supply squeeze has Along with heating oil prices, the distillate supply squeeze has severely impacted diesel fuel prices, especially in the Northeast. Retail diesel price data are available sooner than residential heating oil data. This graph shows that diesel prices turned the corner sometime after February 7 and are heading down. Retail diesel fuel prices nationally, along with those of most other petroleum prices, increased steadily through most of 1999. Prices jumped dramatically (by over 11 cents per gallon) in the third week of January, and rose 2 or more cents a week through February 7. The increases were much more rapid in the Northeast. From January 17 through February 7, diesel fuel prices in New England rose nearly 68 cents per gallon, or 47 percent. Prices in the Mid-Atlantic region rose about 58

86

Retail Price Changes Lag Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: While EIA cannot claim to explain all of the factors that drive retail gasoline prices, we have had a fair amount of success in exploring the relationship between wholesale and retail prices. In particular, we have looked closely at the "pass-through" of changes in spot prices to the retail market. This graph shows a weighted national average of spot prices for regular gasoline -both conventional and reformulated (shown in red), and EIA's weekly survey price for retail regular (again both conventional and reformulated). As you can see, spot prices tend to be more volatile (and would be even more so on a daily basis), while these changes are smoother by the time they reach the retail pump. Furthermore, by looking at the peaks, you can see the retail prices seem to lag the spot price changes

87

Retail Unbundling - Illinois - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Illinois. Status: Some residential customers in the state have access to pilot unbundling programs. Overview: Residential gas customers in 16 ...

88

Retail Unbundling - U.S. Summary  

U.S. Energy Information Administration (EIA)

Retail Unbundling - U.S. Summary. Overview: Enrollment in existing "customer choice" programs generally increased in 2002 as the number of eligible customers grew ...

89

Retail Unbundling - Florida - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Florida. Status: The state has approved two pilot unbundling programs for residential customers. Overview: Two natural gas utilities (Chesapeake ...

90

Retail Unbundling - Ohio - Energy Information Administration  

U.S. Energy Information Administration (EIA)

House Bill 9. Governor signed amended substituted HB 9, which requires retail gas suppliers to be certified by PUCO; authorizes governmental aggregation for ...

91

Retail Heating Oil and Diesel Fuel Prices  

U.S. Energy Information Administration (EIA)

With the worst of the heating season (October-March) now behind us, we can be fairly confident that retail heating oil prices have seen their seasonal ...

92

2012 Brief: Retail gasoline prices vary significantly ...  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors, generation, spent fuel. ... Retail gasoline prices are published by region, for 9 selected states, 10 selected cities, ...

93

Communicating Sustainability through Design within Retail Environments.  

E-Print Network (OSTI)

??This thesis uses a systematic understanding of sustainability informed by human needs, learning and design theory to explore ways in which small retail environments can… (more)

Hendry, Daniel; Silcox, Lawrence

2007-01-01T23:59:59.000Z

94

Retail Unbundling - Ohio - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration (U.S. Dept. of Energy) Home > Natural Gas > Natural Gas Residential Choice Programs > Ohio : Retail ... (DEO) Proposed Tariff.

95

Retail Unbundling - Ohio - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration (U.S. Dept. of Energy) ... Companies File Tariff Revisions to Correspond to New Rules for Competitive Retail Gas Service.

96

Retail Demand Response in Southwest Power Pool  

E-Print Network (OSTI)

23 ii Retail Demand Response in SPP List of Figures and10 Figure 3. Demand Response Resources by11 Figure 4. Existing Demand Response Resources by Type of

Bharvirkar, Ranjit

2009-01-01T23:59:59.000Z

97

Retail Unbundling - Virginia - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Residential Programs by State. ... re-establishing retail rate regulation for most electricity customers in Virginia on January 1, 2009.

98

Retail Unbundling - Minnesota - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Minnesota. Status: The state has no unbundled services for residential customers but is considering action. Overview: The Minnesota Public ...

99

Measuring Devices: Retail Motor-Fuel Dispensers  

Science Conference Proceedings (OSTI)

Retail Motor-Fuel Dispensers - Single, Dual, and Multi-Product and Blended Product. Intro about it. EPOs, Field Manual, Training ...

2010-10-05T23:59:59.000Z

100

Retail Unbundling - Pennsylvania - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Retail Unbundling - Pennsylvania. Status: The state has begun to implement comprehensive unbundling for its residential gas customers. Overview: Competition for gas ...

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


101

Retail Unbundling - Michigan - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Michigan: Regulatory and Legislative Actions on Retail Unbundling: Summary: Legislation was introduced in the Michigan House of Representatives during the 1999-2000 ...

102

Dominion Retail Inc (Ohio) | Open Energy Information  

Open Energy Info (EERE)

RetailInc(Ohio)&oldid412531" Categories: EIA Utility Companies and Aliases Utility Companies Organizations Stubs What links here Related changes Special pages Printable version...

103

Promotional forecasting in the grocery retail business  

E-Print Network (OSTI)

Predicting customer demand in the highly competitive grocery retail business has become extremely difficult, especially for promotional items. The difficulty in promotional forecasting has resulted from numerous internal ...

Koottatep, Pakawkul

2006-01-01T23:59:59.000Z

104

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...

105

An assessment of the value of retail ready packaging  

E-Print Network (OSTI)

Use of retail-ready packaging reduces the costs of replenishing store shelves by eliminating the labor of removing packaging materials and stocking individual items on shelves. While reducing costs for retailers, retail-ready ...

Jackson, Kathleen Anne

2008-01-01T23:59:59.000Z

106

Alternative Fuels Data Center: Hydrogen Production and Retail Requirements  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Hydrogen Production Hydrogen Production and Retail Requirements to someone by E-mail Share Alternative Fuels Data Center: Hydrogen Production and Retail Requirements on Facebook Tweet about Alternative Fuels Data Center: Hydrogen Production and Retail Requirements on Twitter Bookmark Alternative Fuels Data Center: Hydrogen Production and Retail Requirements on Google Bookmark Alternative Fuels Data Center: Hydrogen Production and Retail Requirements on Delicious Rank Alternative Fuels Data Center: Hydrogen Production and Retail Requirements on Digg Find More places to share Alternative Fuels Data Center: Hydrogen Production and Retail Requirements on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Hydrogen Production and Retail Requirements

107

The relationship between retail type and transportation emissions.  

E-Print Network (OSTI)

??This study investigates the relationship between three types of retail, Big Box, traditional and online retail, and their transportation related emissions. The study takes a… (more)

Vigder, Samantha

2013-01-01T23:59:59.000Z

108

Texas Retail Energy, LLC (New York) | Open Energy Information  

Open Energy Info (EERE)

Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon Texas Retail Energy, LLC (New York) Jump to: navigation, search Name Texas Retail Energy,...

109

Green Power Marketing in Retail Competition: An Early Assessment  

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

Green Power Marketing in Retail Competition: An Early Assessment Title Green Power Marketing in Retail Competition: An Early Assessment Publication Type Report Year of Publication...

110

Hess Retail Natural Gas and Elec. Acctg. (Connecticut) | Open...  

Open Energy Info (EERE)

Hess Retail Natural Gas and Elec. Acctg. (Connecticut) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place Connecticut Utility Id 22509 References EIA...

111

Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market  

E-Print Network (OSTI)

Asymmetrically to Crude Oil Price Changes? ” QuarterlyGas Wars: Retail Gasoline Price Fluctua- tions”, Review of7] Eckert, A. “Retail Price Cycles and Response Asymmetry”,

Noel, Michael

2004-01-01T23:59:59.000Z

112

Indirect evaporative cooling in retail  

Science Conference Proceedings (OSTI)

JCPenney Co., Inc., recently opened a 126,000-sq ft, two-level retail store in Albuquerque, NM. The project construction was accomplished using a design-build format. This process allows preliminary construction processes to begin while the design is finalized. Law/Kingdom, Inc. was assigned the architectural and engineering services for this building. During the process of design, the team decided to study the addition of evaporative cooling into the air system. This article reviews system design, selection, and performance using an indirect evaporative system in the HVAC system. It also demonstrates the company`s design approach on the original equipment selection for a typical anchor store.

Bartlett, T.A. [JCPenney Co., Plano, TX (United States)

1996-12-01T23:59:59.000Z

113

CALIFORNIA ENERGY Daylight and Retail Sales  

E-Print Network (OSTI)

year with an optimized daylighting system. #12;RETAIL AND DAYLIGHTING INTRODUCTION 1 1. INTRODUCTIONCALIFORNIA ENERGY COMMISSION Daylight and Retail Sales TECHNICALREPORT October 2003 500-03-082-A-5 in this report. #12;#12;ACKNOWLEDGEMENTS This report is a part of the Integrated Energy Systems - Productivity

114

Optimizing Inventory Replenishment of Retail Fashion Products  

Science Conference Proceedings (OSTI)

We consider the problem of determining (for a short lifecycle) retail product initial and replenishment order quantities that minimize the cost of lost sales, back orders, and obsolete inventory. We model this problem as a two-stage stochastic dynamic ... Keywords: Heuristics, Inventory replenishment, Retailing, Stochastic dynamic programming

Marshall Fisher; Kumar Rajaram; Ananth Raman

2001-06-01T23:59:59.000Z

115

January 23, 2006 Dear Retail Provider  

E-Print Network (OSTI)

. The kilowatt-hours purchased or generated, by generating facility and fuel type during the previous calendar regarding retail disclosure. All retail providers of electricity including, but not limited to investor-owned utilities, publicly owned electric utilities, electric service providers, irrigation districts

116

January 29, 2007 Dear Retail Provider  

E-Print Network (OSTI)

. The kilowatt-hours purchased or generated, by generating facility and fuel type during the previous calendar regarding retail disclosure. All retail providers of electricity including, but not limited to investor-owned utilities, publicly owned electric utilities, electric service providers, irrigation districts

117

February 14, 2005 Dear Retail Provider  

E-Print Network (OSTI)

. The kilowatt-hours purchased or generated, by generating facility and fuel type during the previous calendar regarding retail disclosure. All retail providers of electricity including, but not limited to investor-owned utilities, publicly owned electric utilities, electric service providers, irrigation districts

118

January 30, 2004 Dear Retail Provider  

E-Print Network (OSTI)

. The kilowatt-hours purchased or generated, by generating facility and fuel type during the previous calendar regarding retail disclosure. All retail providers of electricity including, but not limited to investor-owned utilities, publicly owned electric utilities, electric service providers, irrigation districts

119

Incentives for Retailer Forecasting: Rebates vs. Returns  

Science Conference Proceedings (OSTI)

This paper studies a manufacturer that sells to a newsvendor retailer who can improve the quality of her demand information by exerting costly forecasting effort. In such a setting, contracts play two roles: providing incentives to influence the retailer's ... Keywords: endogenous adverse selection, forecasting, rebates, returns, supply chain contracting

Terry A. Taylor; Wenqiang Xiao

2009-10-01T23:59:59.000Z

120

U.S. Total Gasoline Retail Sales by Refiners (Thousand ...  

U.S. Energy Information Administration (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1983: 46,218.3: 48,906.1: 54,111.7: 49,093.7: 52,021.3: 52,517.2: 51,898.0: 51,905.6: 52,676.3: ...

Note: This page contains sample records for the topic "variables total retail" 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

Dominion Retail Inc | Open Energy Information  

Open Energy Info (EERE)

Dominion Retail Inc Dominion Retail Inc Jump to: navigation, search Name Dominion Retail Inc Place Virginia Utility Id 3763 Utility Location Yes Ownership R NERC Location RFC Activity Buying Transmission Yes Activity Buying Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Dominion_Retail_Inc&oldid=41059

122

Commercial Reference Building: Stand-alone Retail | OpenEI  

Open Energy Info (EERE)

Stand-alone Retail Stand-alone Retail Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Stand-alone Retail for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

123

Alternative Fuels Data Center: Biodiesel and Ethanol Definitions and Retail  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Biodiesel and Ethanol Biodiesel and Ethanol Definitions and Retail Requirements to someone by E-mail Share Alternative Fuels Data Center: Biodiesel and Ethanol Definitions and Retail Requirements on Facebook Tweet about Alternative Fuels Data Center: Biodiesel and Ethanol Definitions and Retail Requirements on Twitter Bookmark Alternative Fuels Data Center: Biodiesel and Ethanol Definitions and Retail Requirements on Google Bookmark Alternative Fuels Data Center: Biodiesel and Ethanol Definitions and Retail Requirements on Delicious Rank Alternative Fuels Data Center: Biodiesel and Ethanol Definitions and Retail Requirements on Digg Find More places to share Alternative Fuels Data Center: Biodiesel and Ethanol Definitions and Retail Requirements on AddThis.com... More in this section...

124

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Maine" Maine" "1. NextEra Energy Power Marketing LLC","Other Provider",3876276,3548267,316308,11701,"-" "2. Dominion Retail Inc","Other Provider",1308742,"-",1308742,"-","-" "3. Constellation NewEnergy, Inc","Other Provider",987998,"-",704002,283996,"-" "4. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",593324,"-",593324,"-","-" "5. Suez Energy Resources North America","Other Provider",483466,"-",483466,"-","-" "Total Sales, Top Five Providers",,7249806,3548267,3405842,295697,"-" "Percent of Total State Sales",,63,81,83,10

125

Alternative Fuels Data Center: Ethanol Blend Retailer Tax Credit  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Ethanol Blend Retailer Ethanol Blend Retailer Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Ethanol Blend Retailer Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Ethanol Blend Retailer Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Ethanol Blend Retailer Tax Credit on Google Bookmark Alternative Fuels Data Center: Ethanol Blend Retailer Tax Credit on Delicious Rank Alternative Fuels Data Center: Ethanol Blend Retailer Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Ethanol Blend Retailer Tax Credit on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Ethanol Blend Retailer Tax Credit The Ethanol Promotion Tax Credit is available to any fuel retailer for up

126

Alternative Fuels Data Center: E15 Retailer Tax Credit  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

E15 Retailer Tax E15 Retailer Tax Credit to someone by E-mail Share Alternative Fuels Data Center: E15 Retailer Tax Credit on Facebook Tweet about Alternative Fuels Data Center: E15 Retailer Tax Credit on Twitter Bookmark Alternative Fuels Data Center: E15 Retailer Tax Credit on Google Bookmark Alternative Fuels Data Center: E15 Retailer Tax Credit on Delicious Rank Alternative Fuels Data Center: E15 Retailer Tax Credit on Digg Find More places to share Alternative Fuels Data Center: E15 Retailer Tax Credit on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type E15 Retailer Tax Credit Retail stations dispensing gasoline fuel blends of 15% ethanol (E15) for use in motor vehicles may be eligible for a tax credit in the amount of

127

Alternative Fuels Data Center: E85 Retailer Tax Credit  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

E85 Retailer Tax E85 Retailer Tax Credit to someone by E-mail Share Alternative Fuels Data Center: E85 Retailer Tax Credit on Facebook Tweet about Alternative Fuels Data Center: E85 Retailer Tax Credit on Twitter Bookmark Alternative Fuels Data Center: E85 Retailer Tax Credit on Google Bookmark Alternative Fuels Data Center: E85 Retailer Tax Credit on Delicious Rank Alternative Fuels Data Center: E85 Retailer Tax Credit on Digg Find More places to share Alternative Fuels Data Center: E85 Retailer Tax Credit on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type E85 Retailer Tax Credit Retail stations dispensing E85 for use in motor vehicles may be eligible for a tax credit in the amount of $0.16 per gallon for calendar years

128

Alternative Fuels Data Center: Ethanol Fuel Retailer Tax Credit  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Fuel Retailer Fuel Retailer Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Ethanol Fuel Retailer Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Ethanol Fuel Retailer Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Ethanol Fuel Retailer Tax Credit on Google Bookmark Alternative Fuels Data Center: Ethanol Fuel Retailer Tax Credit on Delicious Rank Alternative Fuels Data Center: Ethanol Fuel Retailer Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Ethanol Fuel Retailer Tax Credit on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Ethanol Fuel Retailer Tax Credit Retailers that sell fuel blends of gasoline containing up to 15% ethanol by

129

Retail Diesel Fuel Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Along with heating oil prices, the distillate supply squeeze has Along with heating oil prices, the distillate supply squeeze has severely impacted diesel fuel prices, especially in the Northeast. Diesel fuel is bascially the same product as home heating oil. The primary difference is that diesel has a lower sulfur content. When heating oil is in short supply, low sulfur diesel fuel can be diverted to heating oil supply. Thus, diesel fuel prices rise with heating heating oil prices. Retail diesel fuel prices nationally, along with those of most other petroleum prices, increased steadily through most of 1999. But prices in the Northeast jumped dramatically in the third week of January. Diesel fuel prices in New England rose nearly 68 cents per gallon, or 47 percent, between January 17 and February 7. While EIA does not have

130

Massachusetts Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

131

San Francisco Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

132

Cleveland Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

133

Chicago Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

134

Washington Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

135

Colorado Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

136

New York Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

137

Minnesota Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

138

Houston Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

139

Florida Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

140

Seattle Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

Note: This page contains sample records for the topic "variables total retail" 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

Los Angeles Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

142

Denver Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

143

Washington Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

3.930: 3.875: 3.809: 2003-2013-= No Data Reported; ... EIA did not collect weekly retail motor gasoline data between December 10, 1990 and January 14, 1991.

144

The impact of retail rate structures on the economics of commercial photovoltaic systems in California  

E-Print Network (OSTI)

the impact of retail electricity rate design on the economiccustomer retail electricity rates currently offered in thethe design of retail electricity rates, particularly for

Mills, Andrew D.

2009-01-01T23:59:59.000Z

145

The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California  

E-Print Network (OSTI)

the impact of retail electricity rate design on the economiccustomer retail electricity rates currently offered in thethe design of retail electricity rates, particularly for

Mills, Andrew

2009-01-01T23:59:59.000Z

146

The bricks, clicks, economics and mortar of contemporary retail : the consequences that retailer storing strategies and retail performance across markets have on real estate investments  

E-Print Network (OSTI)

The retail industry in the 21st century is undergoing a confluence of transformative changes. In this paper we discuss particularly noteworthy changes related to demography, retail economics and the Internet. We note how, ...

Fagan, Kevin William

2011-01-01T23:59:59.000Z

147

Consumer behaviour at multi-channel retailers  

E-Print Network (OSTI)

Consumer behaviour at pure Internet players has been analysed thoroughly in earlier work. When it comes to retailers with multiple distribution channels, however, new behaviour patterns can be observed. Given the fact that multi-channel retailing is much more common than Internet-only, the analysis of consumer behaviour in a multi-channel context constitutes a challenge for the deeper understanding of e-business. The contribution of this research is threefold: first, this study provides an overview of how the 50 largest e-retailers presently coordinate the interaction between sales on their web sites and in physical stores. Second, we present findings from a consumer survey suggesting what consumers like about multi-channel services on retail sites. Finally, user behaviour is empirically evaluated based on transaction and web log data from a large multi-channel retailer. The results indicate a strong demand for multi-channel services and suggest that retailers should expand their multi-channel service spectrum.

Maximilian Teltzrow; Bettina Berendt; Oliver Günther

2003-01-01T23:59:59.000Z

148

Alternative Fuels Data Center: Natural Gas and Propane Retailer License  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Retailer License to someone by E-mail Retailer License to someone by E-mail Share Alternative Fuels Data Center: Natural Gas and Propane Retailer License on Facebook Tweet about Alternative Fuels Data Center: Natural Gas and Propane Retailer License on Twitter Bookmark Alternative Fuels Data Center: Natural Gas and Propane Retailer License on Google Bookmark Alternative Fuels Data Center: Natural Gas and Propane Retailer License on Delicious Rank Alternative Fuels Data Center: Natural Gas and Propane Retailer License on Digg Find More places to share Alternative Fuels Data Center: Natural Gas and Propane Retailer License on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Natural Gas and Propane Retailer License Compressed natural gas, liquefied natural gas, or liquefied petroleum gas

149

Alternative Fuels Data Center: Renewable Fuel Retailer Tax Incentive  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Renewable Fuel Renewable Fuel Retailer Tax Incentive to someone by E-mail Share Alternative Fuels Data Center: Renewable Fuel Retailer Tax Incentive on Facebook Tweet about Alternative Fuels Data Center: Renewable Fuel Retailer Tax Incentive on Twitter Bookmark Alternative Fuels Data Center: Renewable Fuel Retailer Tax Incentive on Google Bookmark Alternative Fuels Data Center: Renewable Fuel Retailer Tax Incentive on Delicious Rank Alternative Fuels Data Center: Renewable Fuel Retailer Tax Incentive on Digg Find More places to share Alternative Fuels Data Center: Renewable Fuel Retailer Tax Incentive on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Renewable Fuel Retailer Tax Incentive A licensed retail motor fuel dealer may receive a quarterly incentive for

150

Submission to the EIRASS Retail brand equity: A PLS Approach  

E-Print Network (OSTI)

In large retail stores, France is characterized by market saturation and even a decline of several retail concepts such as variety stores, or even supermarkets and hypermarkets (Cliquet, 2000). This situation leads to a fierce competition and raises questions which affect marketing strategies of French retail companies. Given the legal context, the French retailers can increase sales through retail brands which appear to be henceforth among the most effective marketing tools. Indeed, product innovation, sophisticated packaging and retail brands- from generic products to premium retail brands (Kumar and Steenkamp, 2007)- could create consumer value. There are thus today real retail branding strategies consisting in creating consumer value leading to the idea of retail brand equity. This paper focuses on retail brand equity to understand where this retail brand value stems from and how to measure it in the French retail context. Adapting the brand equity literature to the retail brand opens large perspectives in the way of considering this type of brands helping managers to examine the importance of components in the shaping of their brand value and finally to develop better strategic and tactical decisions concerning retail brand positioning. Keller’s contributions (Keller, 1993), qualitative methodology and confirmatory analysis are used to

Magali Jara; Gérard Cliquet

2009-01-01T23:59:59.000Z

151

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network (OSTI)

default electricity rate in the United States, especiallystates, including Washington, Louisiana, or Arkansas, have total residential electricity ratesStates are often compensated at the customer’s underlying retail electricity rate

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

152

Using customers data for defining retail market size: a GIS approach  

Science Conference Proceedings (OSTI)

Geographical Information Systems (GIS) systems provide a wide array of tools for site, demographic and competitive analyses which enable retailers and marketers to answer several questions that are related to retail location. The aim of this ... Keywords: GIS, Jeddah, Saudi Arabia, customer data, demographics, geocoding, geographical information systems, market analysis, marketing policy, retail centres, retail customers, retail market size, retail planning, shopping centres

Abdulkader A. Murad

2009-03-01T23:59:59.000Z

153

Alternative Fuels Data Center: Retail Electric Vehicle (EV) Charging  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Retail Electric Retail Electric Vehicle (EV) Charging Regulations to someone by E-mail Share Alternative Fuels Data Center: Retail Electric Vehicle (EV) Charging Regulations on Facebook Tweet about Alternative Fuels Data Center: Retail Electric Vehicle (EV) Charging Regulations on Twitter Bookmark Alternative Fuels Data Center: Retail Electric Vehicle (EV) Charging Regulations on Google Bookmark Alternative Fuels Data Center: Retail Electric Vehicle (EV) Charging Regulations on Delicious Rank Alternative Fuels Data Center: Retail Electric Vehicle (EV) Charging Regulations on Digg Find More places to share Alternative Fuels Data Center: Retail Electric Vehicle (EV) Charging Regulations on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

154

Vertical relationships between manufacturers and retailers: inference with limited data  

E-Print Network (OSTI)

OR Electricity (industrial) OH Expon (price-estimatedprice IL Retail rental IL Gasoline IL Gasoline OH Electricity (industrial) IL Electricity (price IL Retail rental IL Gasoline IL Gasoline OH Electricity (industrial) IL Electricity (

Villas-Boas, Sofia B.

2007-01-01T23:59:59.000Z

155

Evaluating demand planning strategy in the retail channel  

E-Print Network (OSTI)

In 2007 Dell began selling through the retail channel. Five years later, the retail channel is still in the early stages relative to competitors and is growing rapidly. Short product lifecycles, long lead times and a high ...

Zehavi, Limor (Limor Hadas)

2012-01-01T23:59:59.000Z

156

Dominion Retail Inc (New York) | Open Energy Information  

Open Energy Info (EERE)

Dominion Retail Inc (New York) Jump to: navigation, search Name Dominion Retail Inc Place New York Utility Id 3763 References EIA Form EIA-861 Final Data File for 2010 -...

157

Inventory planning for low demand items in online retailing  

E-Print Network (OSTI)

A large online retailer strategically stocks inventory for SKUs with low demand. The motivations are to provide a wide range of selections and faster customer fulfillment service. We assume the online retailer has the ...

Chhaochhria, Pallav

2007-01-01T23:59:59.000Z

158

Inter-organizational information sharing of customer data in retail  

E-Print Network (OSTI)

As massive online retailers are putting increasing pressure on the traditional brick-and-mortar retailers, new ways to compete for customers is needed. Identifying customers' behavior and understanding their needs could ...

Tengberg, John C.F. (John Claes Fredrik)

2013-01-01T23:59:59.000Z

159

Retail Unbundling status for Michigan - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Retail Unbundling- Michigan. Status: The state has begun the process of implementing comprehensive unbundling programs for its residential gas customers.

160

Retail Unbundling - U.S. Summary - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... require uniform procedures for ... conducted a review of retail access policies. ... and revise the consumer protection guidelines in purchase ...

Note: This page contains sample records for the topic "variables total retail" 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

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

162

Retail Unbundling status for the state of New York  

U.S. Energy Information Administration (EIA)

Retail Unbundling - New York. Status: The state has comprehensive unbundling programs for its residential gas customers. Overview: Natural gas ...

163

Retail resources | ENERGY STAR Buildings & Plants  

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

Retail resources Retail resources Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

164

2012 CERTS R&M Peer Review - Summary: A Business Model for Retail Aggregation of Responsive Load - Shmuel Oren  

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

Retail Aggregation of Responsive Load to Produce Wholesale Retail Aggregation of Responsive Load to Produce Wholesale Demand Side Resources Project Lead: Shmuel Oren Objectives The project seeks to develop methods for assembling, managing, and valuing complementary portfolios of variable or intermittent power sources and applications, such as load curtailment, load shifting, renewable resources (wind, solar) and distributed storage (e.g., EV and PHEV batteries, UPS devices etc.). Aggregators can assemble portfolios of such resources to obtain wholesale resources that can be offered in the various ISO markets and exploit the complimentary aspects of these resources through portfolio structuring and dispatch strategies to mitigate the intermittent nature of load response and renewables. Variability can be further reduced by pooling uncertain retail

165

Policy Issues for Retail Beamed Power Transmission  

E-Print Network (OSTI)

it possible to deliver electric power to off-grid locations using millimeter-wave beams and compact, efficient of very large utility-scale power plants, serving given areas in a hub-and-spoke arrangement. GridPolicy Issues for Retail Beamed Power Transmission Girish Chowdhary, Rajeev Gadre, Narayanan

166

May 13, 2003 To all retail providers  

E-Print Network (OSTI)

COMMISSION 1516 NINTH STREET SACRAMENTO CA 95814-5512 June 19, 2008 To All Retail Providers: Subject from generators to the California Energy Commission (Energy Commission), and for providing rate payers reporting period, the Energy Commission adopted the 2007 Net System Power Report at its April 16, 2008

167

Retail beamed power using millimeter waves: Survey  

Science Conference Proceedings (OSTI)

Retail delivery of electric power through millimeter waves is relevant in developing areas where the market for communication devices outpaces the power grid infrastructure. It is also a critical component of an evolutionary path towards terrestrial ... Keywords: Micro renewable energy systems, millimeter wave, power beaming, rural India power, space power grid, systems

Narayanan Komerath; Aravinda Kar

2012-08-01T23:59:59.000Z

168

Information for Retailers of Lighting Products | Department of Energy  

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

Information for Retailers of Lighting Products Information for Retailers of Lighting Products Information for Retailers of Lighting Products July 29, 2012 - 8:18pm Addthis Information for Retailers of Lighting Products U.S. retailers who sell lighting products can use the information below to help their customers better understand energy-efficient lighting choices. New information will be added as it becomes available. U.S. retailers are welcome to use parts of these materials in their retail displays. In those cases, please do so without the Department of Energy's name, since we will not be approving your version. If you would prefer a different version that fits your requirements for size or layout better, and you'd like to keep the Department's name, you are welcome to submit that revised layout for approval. Native artwork files can be made

169

Electric retail market options: The customer perspective  

SciTech Connect

This report describes various options that are now available for retail electric customers, or that may become available during the next few years as the electric utility industry restructures. These options include different ways of meeting demand for energy services, different providers of service or points of contact with providers, and different pricing structures for purchased services. Purpose of this document is to examine these options from the customer`s perspective: how might being a retail electric customer in 5--10 years differ from now? Seizing opportunities to reduce cost of electric service is likely to entail working with different service providers; thus, transaction costs are involved. Some of the options considered are speculative. Some transitional options include relocation, customer-built/operated transmission lines, municipalization, self-generation, and long-term contracts with suppliers. All these may change or diminish in a restructured industry. Brokers seem likely to become more common unless restructuring takes the form of mandatory poolcos (wholesale). Some options appear robust, ie, they are likely to become more common regardless of how restructuring is accomplished: increased competition among energy carriers (gas vs electric), real-time pricing, etc. This report identified some of the qualitative differences among the various options. For customers using large amounts of electricity, different alternatives are likely to affect greatly service price, transaction costs, tailoring service to customer preferences, and risks for customer. For retail customers using small amounts of electricity, there may be little difference among the options except service price.

Hadley, S.W.; Hillsman, E.L.

1995-07-01T23:59:59.000Z

170

Load Profiling and Settlement for Retail Markets Methods Assessment Study  

Science Conference Proceedings (OSTI)

Retail electric competition requires estimation of hourly loads for each retail supplier. Load profiling is the means by which loads for customers who do not have hourly metering are accounted for. This report presents an assessment of alternative load profiling and settlement methods for retail electric markets and provides a framework for evaluating costs and benefits of potential improvements to profiling and settlement systems. This report is available only to funders of Program 101A or 101.001. Fund...

1999-06-01T23:59:59.000Z

171

Search engine advertising in web retailing : an efficiency analysis.  

E-Print Network (OSTI)

??This study examines the efficiency of search engine advertising strategies employed by firms. The research setting is the online retailing industry, which is characterized by… (more)

Mokaya, Brian O.

2010-01-01T23:59:59.000Z

172

A Piecewise Linearization Framework for Retail Shelf Space ...  

E-Print Network (OSTI)

Oct 1, 2004 ... Abstract: Managing shelf space is critical for retailers to attract customers ... essential in-store costs and considers space- and cross-elasticities.

173

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network (OSTI)

Robinson, Michael, 2008, "Demand Response in Midwest ISOPresentation at MISO Demand Response Working Group Meeting,Coordination of Retail Demand Response with Midwest ISO

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

174

Retail Price of No. 2 Fuel Oil to Residential Consumers  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

175

Retail Electric Competition: A Blueprint for Consumer Protection...  

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

Response to several FOIA requests - Renewable Energy Restructuring in Retrospect, 2001 REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY...

176

Participation lags in most electricity retail choice States ...  

U.S. Energy Information Administration (EIA)

Fifteen States and the District of Columbia have active retail choice programs for residential electricity ... State regulators set the rates for customers not ...

177

Electricity retail choice is mandated in Texas and growing in ...  

U.S. Energy Information Administration (EIA)

Retail choice programs let electric power and natural gas customers ... These rates only slowly adjust to ... 15 States and the District of Columbia have active ...

178

State electric retail choice programs are popular with commercial ...  

U.S. Energy Information Administration (EIA)

State electric retail choice programs are popular ... majority of industrial customers have signed up in 12 states. The highest participation rates are found in ...

179

Making Sense of Non-Binding Retail-Price Recommendations  

E-Print Network (OSTI)

information about production costs, we show that RPRs may beis independent of production costs and punishment strategiesabout their own production costs than retailers. This seems

Gärtner, Dennis L; Buehler, Stefan

2009-01-01T23:59:59.000Z

180

6. State Regulators Promote Consumer Choice in Retail Gas Markets  

U.S. Energy Information Administration (EIA)

Energy Information Administration Natural Gas 1996: Issues and Trends 113 6. State Regulators Promote Consumer Choice in Retail Gas Markets Restructur ...

Note: This page contains sample records for the topic "variables total retail" 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

Hess Retail Natural Gas and Elec. Acctg. (Maryland) | Open Energy...  

Open Energy Info (EERE)

Maryland) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place Maryland Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 -...

182

Hess Retail Natural Gas and Elec. Acctg. (Pennsylvania) | Open...  

Open Energy Info (EERE)

Pennsylvania) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place Pennsylvania Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 -...

183

Hess Retail Natural Gas and Elec. Acctg. (Delaware) | Open Energy...  

Open Energy Info (EERE)

Delaware) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place Delaware Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 -...

184

Hess Retail Natural Gas and Elec. Acctg. (Massachusetts) | Open...  

Open Energy Info (EERE)

Massachusetts) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place Massachusetts Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 -...

185

ENERGY STAR Building Upgrade Manual Chapter 13: Retail Stores...  

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

care resources Small business resources State and local government resources ENERGY STAR Building Upgrade Manual Chapter 13: Retail Stores The Building Upgrade Manual is a...

186

A Guide to US Retail Pricing Laws and Regulations  

Science Conference Proceedings (OSTI)

A Guide to Retail Pricing Laws and Regulations. US Pricing Laws and Regulations by state. ... Contact New York directly for a complete listing. ...

2013-05-07T23:59:59.000Z

187

Drivers of gross margins in UK retail electricity.  

E-Print Network (OSTI)

?? This thesis aims at explaining why the UK residential electricity (retail) market enjoys high gross margins in comparison to Vattenfall’s markets in for example… (more)

Törnqvist, Dan

2007-01-01T23:59:59.000Z

188

U.S. Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

(Dollars per Gallon, Including Taxes) Area: ... EIA did not collect weekly retail motor gasoline data between December 10, 1990 and January 14, 1991.

189

Retail Unbundling - Minnesota - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Natural Gas Residential Programs by State. ... According to the PUC, no further work has been done to develop retail gas unbundling programs in ...

190

Retail Unbundling - District of Columbia - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

District of Columbia: Legislative and Regulatory Actions on Retail Unbundling Summary: ... Washington Gas Light tariff GT97-3 effective 10/22/99.

191

Refiner Retail Price of Kerosene-Type Jet Fuel  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

192

Retail Building Guide for Entrance Energy Efficiency Measures  

Science Conference Proceedings (OSTI)

This booklet is based on the findings of an infiltration analysis for supermarkets and large retail buildings without refrigerated cases. It enables retail building managers and engineers to calculate the energy savings potential for vestibule additions for supermarkets; and bay door operation changes in large retail stores without refrigerated cases. Retail managers can use initial estimates to decide whether to engage vendors or contractors of vestibules for pricing or site-specific analyses, or to decide whether to test bay door operation changes in pilot stores, respectively.

Stein, J.; Kung, F.

2012-03-01T23:59:59.000Z

193

The impact of retail rate structures on the economics of commercial photovoltaic systems in California  

E-Print Network (OSTI)

design of retail electricity tariffs and want to understandof commercial electricity tariffs in the United States,the structure of retail electricity tariffs. Rate Design for

Mills, Andrew D.

2009-01-01T23:59:59.000Z

194

The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California  

E-Print Network (OSTI)

design of retail electricity tariffs and want to understandof commercial electricity tariffs in the United States,the structure of retail electricity tariffs. Rate Design for

Mills, Andrew

2009-01-01T23:59:59.000Z

195

The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California  

E-Print Network (OSTI)

design of retail electricity tariffs and want to understandof commercial electricity tariffs, elucidates the principlesand design of retail electricity tariffs can impact the

Wiser, Ryan; Mills, Andrew; Barbose, Galen; Golove, William

2007-01-01T23:59:59.000Z

196

Patterns of Pass-through of Commodity Price Shocks to Retail Prices  

E-Print Network (OSTI)

B. 1975. “The Farm-Retail Price Spread in a Competitive Foodthe Income Effect: Gasoline Prices and Grocery Purchases. ”2004. “Patterns of Retail Price Variation. ” The RAND

Berck, Peter; Leibtag, Ephraim S.; Villas-Boas, Sofia B.; Solis, Alex

2009-01-01T23:59:59.000Z

197

Retail prices: diesel outpaces gasoline - Today in Energy - U.S ...  

U.S. Energy Information Administration (EIA)

Since mid-2009 the price of retail diesel has been consistently higher than the price of retail regular grade gasoline. Strong diesel demand in emerging economies and ...

198

The LBNL Water Heater Retail Price Database  

SciTech Connect

Lawrence Berkeley National Laboratory developed the LBNL Water Heater Price Database to compile and organize information used in the revision of U.S. energy efficiency standards for water heaters. The Database contains all major components that contribute to the consumer cost of water heaters, including basic retail prices, sales taxes, installation costs, and any associated fees. In addition, the Database provides manufacturing data on the features and design characteristics of more than 1100 different water heater models. Data contained in the Database was collected over a two-year period from 1997 to 1999.

Lekov, Alex; Glover, Julie; Lutz, Jim

2000-10-01T23:59:59.000Z

199

Advanced Energy Retrofit Guide Retail Buildings  

Science Conference Proceedings (OSTI)

The Advanced Energy Retrofit Guide for Retail Buildings is a component of the Department of Energy’s Advanced Energy Retrofit Guides for Existing Buildings series. The aim of the guides is to facilitate a rapid escalation in the number of energy efficiency projects in existing buildings and to enhance the quality and depth of those projects. By presenting general project planning guidance as well as financial payback metrics for the most common energy efficiency measures, these guides provide a practical roadmap to effectively planning and implementing performance improvements for existing buildings.

Liu, Guopeng; Liu, Bing; Zhang, Jian; Wang, Weimin; Athalye, Rahul A.; Moser, Dave; Crowe, Eliot; Bengtson, Nick; Effinger, Mark; Webster, Lia; Hatten, Mike

2011-09-19T23:59:59.000Z

200

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network (OSTI)

Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity Energy Commission until adopted at a public meeting. #12;Revised 1997 Retail Price Forecast, December ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

Note: This page contains sample records for the topic "variables total retail" 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

Duke Energy Retail Sales, LLC | Open Energy Information  

Open Energy Info (EERE)

Retail Sales, LLC Retail Sales, LLC Jump to: navigation, search Name Duke Energy Retail Sales, LLC Place Ohio Utility Id 56502 Utility Location Yes Ownership R Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.0749/kWh Commercial: $0.0600/kWh Industrial: $0.0515/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Duke_Energy_Retail_Sales,_LLC&oldid=410603" Categories: EIA Utility Companies and Aliases

202

Retail: An Overview of Energy Use and Energy Efficiency Opportunities  

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

Retail: An Overview of Energy Use and Retail: An Overview of Energy Use and Energy Efficiency Opportunities Of the almost 5 million commercial buildings in the U.S. 1 , retail buildings account for the largest energy costs - nearly $20 billion each year 1 - and are also responsible for the second largest percentage of greenhouse gas emissions, leading to global climate change. By becoming more energy efficient, retailers can increase the comfort of customers and productivity of employees, and achieve cost savings that enhance corporate profitability. By using the Environmental Protection Agency's (EPA) ENERGY STAR tools and resources, retailers can save money and fight global climate change by reducing their energy use through energy efficiency measures. Energy Efficiency Tips

203

A Look at Retail and Service Buildings - Index Page  

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

Retail and Services Retail and Services Home: A Look at CBECS Building Activities How large are they? How many employees are there? Where are they located? How old are they? Who owns and occupies them? How do they use energy and how much does it cost? How do they use electricity? How do they use natural gas? What types of equipment do they use? How do they measure up on conservation efforts? Summary Comparison Table (All Activities) RETAIL AND SERVICE BUILDINGS There were an estimated 1,289,000 retail and service buildings in the U.S. in 1995. Number of Buildings In the Commercial Buildings Energy Consumption Survey (CBECS), information is collected separately for service buildings, enclosed malls, strip shopping centers, and retail buildings other than malls. In most CBECS publications, these types are all grouped into one category; where possible, this profile will look at each of these separately.

204

Mercantile (Retail Other Than Mall) | Open Energy Information  

Open Energy Info (EERE)

Retail Other Than Mall) Retail Other Than Mall) Jump to: navigation, search Building Type Mercantile (Retail Other Than Mall) Definition Buildings used for the sale and display of goods other than food. Sub Categories retail store; beer, wine, or liquor store; rental center; dealership or showroom for vehicles or boats; studio/gallery References EIA CBECS Building Types [1] References ↑ EIA CBECS Building Types U.S. Energy Information Administration (Oct 2008) Retrieved from "http://en.openei.org/w/index.php?title=Mercantile_(Retail_Other_Than_Mall)&oldid=270108" Category: CBECS Building Types What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation:

205

Field Measurement of Am241 and Total Uranium at a Mixed Oxide Fuel Facility with Variable Uranium Enrichments Ranging from 0.3% to 97% U235  

SciTech Connect

The uranium and transuranic content of site soils and building rubble can be accurately measured using a NaI(Tl) well counter, without significant soil preparation. Accurate measurements of total uranium in uranium-transuranic mixtures can be made, despite a wide range (0.3% to 97%) of uranium enrichment, sample mass, and activity concentrations. The appropriate uranium scaling factors needed to include the undetected uranium isotopes, particularly U 234 can be readily determined on a sample by sample basis as a part of the field analysis, by comparing the relative response of the U 235 186 keV peak versus the K shell X rays of U 238 , U 235, and their immediate ingrowth daughters. The ratio of the two results is a sensitive and accurate predictor of the uranium enrichment and scaling factors. The case study will illustrate how NaI(Tl) gamma spectrometry was used to provide rapid turnaround uranium and transuranic activity levels for soil and building rubble with sample by sample determination of the appropriate scaling factor to include the U234 and Uranium238 content.

Conway, K. C.

2002-02-28T23:59:59.000Z

206

Retail Inventory Management When Records are Inaccurate  

E-Print Network (OSTI)

Inventory record inaccuracy is a significant problem for retailers using automated inventory management systems. While investments in preventative and corrective measures can be effective remedies, gains can also be achieved through inventory management tools that account for record errors. In this paper, we consider intelligent inventory management tools that account for record errors using a Bayesian inventory record. We assume that excess demands are lost and unobserved, in which case sales data reveal information about physical inventory positions. We show that a probability distribution on inventory levels is a sufficient summary of past sales and replenishment observations, and that this probability distribution can be efficiently updated as observations are accumulated. We also demonstrate the use of this distribution as the basis for practical replenishment and inventory audit policies, and illustrate how the needed parameters can be estimated using data from a large national retailer. Our replenishment policies avoid the problem of “freezing, ” in which a physical inventory position persists at zero while the corresponding record is positive. In addition, simulation studies show that our replenishment policies recoup much of the cost of inventory record inaccuracy, and that our audit policies significantly outperform the popular “zero-balance walk ” audit policy. 1.

Nicole Dehoratius; Adam J. Mersereau; Linus Schrage

2005-01-01T23:59:59.000Z

207

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Rhode Island" Rhode Island" "1. The Narragansett Electric Co","Investor-Owned",5287440,3068731,1938910,279799,"-" "2. Constellation NewEnergy, Inc","Other Provider",594900,"-",387627,191168,16105 "3. TransCanada Power Mktg Ltd","Other Provider",501659,"-","-",501659,"-" "4. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",389583,"-",116875,272708,"-" "5. Glacial Energy Holdings","Other Provider",283973,"-",283973,"-","-" "Total Sales, Top Five Providers",,7057555,3068731,2727385,1245334,16105 "Percent of Total State Sales",,90,98,74,100,59

208

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

District of Columbia" District of Columbia" "1. Potomac Electric Power Co","Investor-Owned",3388490,2014044,1374446,"-","-" "2. Constellation NewEnergy, Inc","Other Provider",2427380,"-",2369901,12091,45388 "3. PEPCO Energy Services","Other Provider",2099946,1012,2098934,"-","-" "4. Washington Gas Energy Services","Other Provider",1759773,39513,1720260,"-","-" "5. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",801256,"-",536225,265031,"-" "Total Sales, Top Five Providers",,10476845,2054569,8099766,277122,45388 "Percent of Total State Sales",,88,97,88,100,14

209

The impact of retail rate structures on the economics of commercial photovoltaic systems in California  

SciTech Connect

This article examines the impact of retail electricity rate design on the economic value of grid-connected photovoltaic (PV) systems, focusing on commercial customers in California. Using 15-min interval building load and PV production data from a sample of 24 actual commercial PV installations, we compare the value of the bill savings across 20 commercial-customer retail electricity rates currently offered in the state. Across all combinations of customers and rates, we find that the annual bill savings from PV, per kWh generated, ranges from $0.05 to $0.24/kWh. This sizable range in rate-reduction value reflects differences in rate structures, revenue requirements, the size of the PV system relative to building load, and customer load shape. The most significant rate design issue for the value of commercial PV is found to be the percentage of total utility bills recovered through demand charges, though a variety of other factors are also found to be of importance. The value of net metering is found to be substantial, but only when energy from commercial PV systems represents a sizable portion of annual customer load. Though the analysis presented here is specific to California, our general results demonstrate the fundamental importance of retail rate design for the customer-economics of grid-connected, customer-sited PV.

Mills, Andrew D.; Wiser, Ryan; Barbose, Galen; Golove, William

2008-06-24T23:59:59.000Z

210

The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California  

SciTech Connect

This article examines the impact of retail electricity rate design on the economic value of grid-connected photovoltaic (PV) systems, focusing on commercial customers in California. Using 15-minute interval building load and PV production data from a sample of 24 actual commercial PV installations, we compare the value of the bill savings across 20 commercial-customer retail electricity rates currently offered in the state. Across all combinations of customers and rates, we find that the annual bill savings from PV, per kWh generated, ranges from $0.05/kWh to $0.24/kWh. This sizable range in rate-reduction value reflects differences in rate structures, revenue requirements, the size of the PV system relative to building load, and customer load shape. The most significant rate design issue for the value of commercial PV is found to be the percentage of total utility bills recovered through demand charges, though a variety of other factors are also found to be of importance. The value of net metering is found to be substantial, but only when commercial PV systems represent a sizable portion of annual customer load. Though the analysis presented here is specific to California, our general results demonstrate the fundamental importance of retail rate design for the customer-economics of grid-connected, customer-sited PV.

Mills, Andrew; Wiser, Ryan; Barbose, Galen; Golove, William

2008-05-11T23:59:59.000Z

211

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: With the worst of the heating season (October-March) now behind us, we can be fairly confident that retail heating oil prices have seen their seasonal peak. Relatively mild weather and a softening of crude oil prices have helped ease heating oil prices. Spot heating oil prices recently reached their lowest levels in over six months. Because of relatively balmy weather in the Northeast in January and February, heating oil stock levels have stabilized. Furthermore, heating oil production has been unusually robust, running several hundred thousand barrels per day over last year's pace. Currently, EIA expects winter prices to average around $1.41, which is quite high in historical terms. The national average price in December 2000 was 44 cents per gallon above the December 1999 price. For February

212

Retail Demand Response in Southwest Power Pool  

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

LBNL-1470E LBNL-1470E Retail Demand Response in Southwest Power Pool Ranjit Bharvirkar, Grayson Heffner and Charles Goldman Lawrence Berkeley National Laboratory Environmental Energy Technologies Division January 2009 The work described in this report was funded by the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of

213

Retail Choice Experiments: Comparing Early-AdopterExperience  

SciTech Connect

This paper reviews the experience with retail choice of non-residential electricity customers during the period from early 1998 through the first few months of 2000. Key findings include: (1) customers in California received a significantly smaller discount from utility tariffs than customers in other competitive markets; (2) this sample of large commercial/industrial customers believed they were benefiting significantly more from commodity savings from contracts with retail electricity service providers (RESP) than from value-added services; and,(3) market rules appear to be critical to customer experiences with retail competition, yet the relationship between market rules and market development is inadequately understood.

Golove, William

2003-03-01T23:59:59.000Z

214

From Beijing to Bentonville: Do Multinational Retailers Link Markets? ?  

E-Print Network (OSTI)

The world’s largest retailers—Walmart, Carrefour, Tesco, and Metro—all entered China after 1995. They established hundreds of stores as well as centers for procuring goods to be sold worldwide. Multinational retailers may affect Chinese exports through two channels. First, they could inform outlets in other countries where they operate about the products offered by local Chinese suppliers, thereby enhancing bilateral exports. Second, they can augment the general capabilities of local suppliers. Chinese city-level exports to all destinations grow following the increase of multinational retailers ’ activities in and near the city, as predicted by the capability hypothesis. JEL classification: F13

Keith Head; Ran Jing; Deborah Swenson

2009-01-01T23:59:59.000Z

215

A franchising of retail operations : the case of the United States Postal Service building a retail network for the 21st century  

E-Print Network (OSTI)

This thesis is about the effects of changing customer preferences on the United States Postal Service's retail network and offers a process for wider adoption of its current retail partnership program. The Contract Postal ...

Sigmon, Kelly M. (Kelly Marie Berg)

2010-01-01T23:59:59.000Z

216

TXU Energy Retail Co LP | Open Energy Information  

Open Energy Info (EERE)

TXU Energy Retail Co LP TXU Energy Retail Co LP Jump to: navigation, search Name TXU Energy Retail Co LP Place Texas Service Territory Texas Website www.txu.com Green Button Landing Page www.txu.com/en/residentia Green Button Reference Page www.txu.com/en/residentia Green Button Implemented Yes Utility Id 19327 Utility Location Yes Ownership R NERC ERCOT Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png 12 (e-Saver Residential Service) Residential 18 (Free Nights Time-of-Use Residential Service) Residential Residential Residential Small Non-Residential Commercial

217

Improving promotional effectiveness through supplier-retailer collaboration  

E-Print Network (OSTI)

In the consumer products industry, retail chains and manufacturers run promotions to maintain consumer and brand loyalty. The two major issues in planning and executing promotions are to accurately forecast demand and to ...

Kapur, Gautam, M. Eng. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

218

Refiner Retail Price of Kerosene - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

History; U.S. 3.836: 3.786: 3.634: 3.840: 3.707: ... Alabama-----1984-2013: Arkansas----- ... Retail prices and Prime Supplier sales values shown for ...

219

Hess Retail Natural Gas and Elec. Acctg. (Rhode Island) | Open...  

Open Energy Info (EERE)

Rhode Island) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place Rhode Island Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 -...

220

Hess Retail Natural Gas and Elec. Acctg. (District of Columbia...  

Open Energy Info (EERE)

District of Columbia) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place District of Columbia Utility Id 22509 References EIA Form EIA-861 Final Data...

Note: This page contains sample records for the topic "variables total retail" 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

Hess Retail Natural Gas and Elec. Acctg. (New Hampshire) | Open...  

Open Energy Info (EERE)

Hampshire) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place New Hampshire Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 -...

222

Hess Retail Natural Gas and Elec. Acctg. (Maine) | Open Energy...  

Open Energy Info (EERE)

Maine) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place Maine Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 - File220101...

223

Midwest (PADD 2) Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

224

Retail Prices for Diesel (On-Highway) - All Types  

U.S. Energy Information Administration (EIA)

Midwest (PADD 2) 3.911: 3.907: 3.871: 3.850: 3.873: 3 ... EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types ...

225

New England (PADD 1A) Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

226

Lower Atlantic (PADD 1C) Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

227

Central Atlantic (PADD 1B) Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

228

Gulf Coast (PADD 3) Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

229

U.S. Gasoline and Diesel Retail Prices  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

230

Energy Star Building Upgrade Manual Facility Type: Retail Chapter...  

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

Facility Type: Retail Revised January 2008 13.1 Challenges and Opportunities 2 13.2 Energy Use Profile 2 13.3 Technical Recommendations 4 Retrocommissioning 5 Lighting 6 Load...

231

Inventory optimization in a retail multi-echelon environment  

E-Print Network (OSTI)

The objective of the study is to find an optimal inventory distribution in a retail three-echelon environment, consisting of a supplier, a DC, and stores. An inventory model is built by replicating the echelons' periodic, ...

Arkaresvimun, Rintiya

2008-01-01T23:59:59.000Z

232

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...

233

Texas Retail Energy, LLC (Texas) | Open Energy Information  

Open Energy Info (EERE)

Texas) Jump to: navigation, search Name Texas Retail Energy, LLC Place Texas Utility Id 50046 References EIA Form EIA-861 Final Data File for 2010 - File220101 LinkedIn...

234

Green Power Marketing in Retail Competition: An Early Assessment  

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

5939 5939 LBNL-42286 February 1999 Green Power Marketing in Retail Competition: An Early Assessment Ryan Wiser, Ernest Orlando Lawrence Berkeley National Laboratory Jeff Fang, Kevin Porter, and Ashley Houston, National Renewable Energy Laboratory National Renewable Energy Laboratory A national laboratory of the U.S. Department of Energy The Topical Issues Brief series is sponsored by DOE's Office of Energy Efficiency and Renewable Energy Office of Power Technologies Green Power Marketing in Retail Competition i Contents Abstract ........................................................................................................................................ ii Acknowledgments ..........................................................................................................................

235

Solar power and retail electric competition in Arizona  

Science Conference Proceedings (OSTI)

Arizona`s solar portfolio standard serves a model for utilities and regulators by linking solar power and retail electric competition. Like many states, Arizona is pursuing retail electric competition as a substitute for traditional regulated monopolies. In addition the development of the competitive market is being linked with the development of solar power. Topics covered include the following: a simple solar portfolio standard; cost of the solar portfolio; feasibility of the solar portfolio standard. 4 figs., 1 tab.

Berry, D.; Williamson, R. [Arizona Corp. Commission, Phoenix, AZ (United States)

1997-03-01T23:59:59.000Z

236

Retail Unbundling - U.S. Summary  

U.S. Energy Information Administration (EIA)

Pennsylvania has allowed customer choice statewide since July 2000, ... Number of Residential Customers. Category/State: Total 2000. Eligible: Participating: Total:

237

Retail Unbundling - Illinois - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Customers may choose to discontinue service under the program, ... Number of Customers. Customer Type. Total 2002. Eligible. Participating Dec 2003. Total.

238

Retail Buildings: Assessing and Reducing Plug and Process Loads in Retail Buildings (Fact Sheet)  

SciTech Connect

Plug and process loads (PPLs) in commercial buildings account for almost 5% of U.S. primary energy consumption. Minimizing these loads is a primary challenge in the design and operation of an energy-efficient building. PPLs are not related to general lighting, heating, ventilation, cooling, and water heating, and typically do not provide comfort to the occupants. They use an increasingly large fraction of the building energy use pie because the number and variety of electrical devices have increased along with building system efficiency. Reducing PPLs is difficult because energy efficiency opportunities and the equipment needed to address PPL energy use in retail spaces are poorly understood.

2013-04-01T23:59:59.000Z

239

national total  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA--Table Posted: December 8, ...

240

Retail Unbundling - Florida - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Status: The State has approved three pilot unbundling programs for residential customers. ... Number of Customers. Customer Type. Total 2004. ...

Note: This page contains sample records for the topic "variables total retail" 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

Retail Demand Response in Southwest Power Pool  

SciTech Connect

In 2007, the Southwest Power Pool (SPP) formed the Customer Response Task Force (CRTF) to identify barriers to deploying demand response (DR) resources in wholesale markets and develop policies to overcome these barriers. One of the initiatives of this Task Force was to develop more detailed information on existing retail DR programs and dynamic pricing tariffs, program rules, and utility operating practices. This report describes the results of a comprehensive survey conducted by LBNL in support of the Customer Response Task Force and discusses policy implications for integrating legacy retail DR programs and dynamic pricing tariffs into wholesale markets in the SPP region. LBNL conducted a detailed survey of existing DR programs and dynamic pricing tariffs administered by SPP's member utilities. Survey respondents were asked to provide information on advance notice requirements to customers, operational triggers used to call events (e.g. system emergencies, market conditions, local emergencies), use of these DR resources to meet planning reserves requirements, DR resource availability (e.g. seasonal, annual), participant incentive structures, and monitoring and verification (M&V) protocols. Nearly all of the 30 load-serving entities in SPP responded to the survey. Of this group, fourteen SPP member utilities administer 36 DR programs, five dynamic pricing tariffs, and six voluntary customer response initiatives. These existing DR programs and dynamic pricing tariffs have a peak demand reduction potential of 1,552 MW. Other major findings of this study are: o About 81percent of available DR is from interruptible rate tariffs offered to large commercial and industrial customers, while direct load control (DLC) programs account for ~;;14percent. o Arkansas accounts for ~;;50percent of the DR resources in the SPP footprint; these DR resources are primarily managed by cooperatives. o Publicly-owned cooperatives accounted for 54percent of the existing DR resources among SPP members. For these entities, investment in DR is often driven by the need to reduce summer peak demand that is used to set demand charges for each distribution cooperative. o About 65-70percent of the interruptible/curtailable tariffs and DLC programs are routinely triggered based on market conditions, not just for system emergencies. Approximately, 53percent of the DR resources are available with less than two hours advance notice and 447 MW can be dispatched with less than thirty minutes notice. o Most legacy DR programs offered a reservation payment ($/kW) for participation; incentive payment levels ranged from $0.40 to $8.30/kW-month for interruptible rate tariffs and $0.30 to $4.60/kW-month for DLC programs. A few interruptible programs offered incentive payments which were explicitly linkedto actual load reductions during events; payments ranged from 2 to 40 cents/kWh for load curtailed.

Bharvirkar, Ranjit; Heffner, Grayson; Goldman, Charles

2009-01-30T23:59:59.000Z

242

The U.S. average retail price for on-highway diesel fuel rose...  

Gasoline and Diesel Fuel Update (EIA)

The U.S. average retail price for on-highway diesel fuel rose this week The U.S. average retail price for on-highway diesel fuel rose slightly to 3.90 a gallon on Monday. That's...

243

E85 Retail Business Case: When and Why to Sell E85  

Science Conference Proceedings (OSTI)

NREL developed a model to test the investment profitability of adding E85 to retail stations. This report discusses this model and how retailers can make E85 a profitable business venture.

Johnson, C.; Melendez, M.

2007-12-01T23:59:59.000Z

244

Place making in new retail developments : the role of local, independently owned businesses  

E-Print Network (OSTI)

This thesis sets out to examine whether incorporating local independent or small regional chain retailers and restaurants along with national chain stores in new large scale open-air retail developments can help add to a ...

Laniado, Linda (Linda Caroline)

2005-01-01T23:59:59.000Z

245

Why do we need electricity retailers?; or, can you get it cheaper wholesale?  

E-Print Network (OSTI)

The opportunities for retail electricity competition to provide new value-added services to retail electricity consumers are discussed. The physical attributes of electricity supply make many of the traditional "convenience ...

Joskow, Paul L.

2000-01-01T23:59:59.000Z

246

What was the highest U.S. average retail price of regular ...  

U.S. Energy Information Administration (EIA)

What was the highest U.S. average retail price of regular gasoline? According to EIA’s weekly survey, the U.S. average retail price of regular ...

247

Retail Demand Response in Southwest Power Pool | Department of Energy  

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

Demand Response in Southwest Power Pool Demand Response in Southwest Power Pool Retail Demand Response in Southwest Power Pool In 2007, the Southwest Power Pool (SPP) formed the Customer Response Task Force (CRTF) to identify barriers to deploying demand response (DR) resources in wholesale markets and develop policies to overcome these barriers. One of the initiatives of this Task Force was to develop more detailed information on existing retail DR programs and dynamic pricing tariffs, program rules, and utility operating practices. This report describes the results of a comprehensive survey conducted by LBNL in support of the Customer Response Task Force and discusses policy implications for integrating legacy retail DR programs and dynamic pricing tariffs into wholesale markets in the SPP region.

248

Large Scale Geothermal Exchange System for Residential, Office and Retail  

Open Energy Info (EERE)

Geothermal Exchange System for Residential, Office and Retail Geothermal Exchange System for Residential, Office and Retail Development Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Large Scale Geothermal Exchange System for Residential, Office and Retail Development Project Type / Topic 1 Recovery Act - Geothermal Technologies Program: Ground Source Heat Pumps Project Type / Topic 2 Topic Area 1: Technology Demonstration Projects Project Description RiverHeath will be a new neighborhood, with residences, shops, restaurants, and offices. The design incorporates walking trails, community gardens, green roofs, and innovative stormwater controls. A major component of the project is our reliance on renewable energy. One legacy of the land's industrial past is an onsite hydro-electric facility which formerly powered the paper factories. The onsite hydro is being refurbished and will furnish 100% of the project's electricity demand.

249

DataTrends Energy Use in Retail Stores  

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

Retail Stores Retail Stores The U.S. Environmental Protection Agency's (EPA) ENERGY STAR Portfolio Manager is changing the way organizations track and manage energy. Because of this widespread market adoption, EPA has prepared the DataTrends series to examine benchmarking and trends in energy and water consumption in Portfolio Manager. To learn more, visit www.energystar.gov/DataTrends. Energy use intensity (EUI) ranges from less than 100 to more than 800 kBtu/ft 2 across all retail buildings, with those at the 95th percentile using more than 3 times the energy of those at the 5th percentile. The distribution has a negative skew, which means the most energy intensive buildings are much further away from

250

Retail Product Prices Are Driven By Crude Oil  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Retail prices for both gasoline and diesel fuel have risen strongly over the past two years, driven mostly by the rise in world crude oil prices to their highest levels since the Persian Gulf War. Of course, there are a number of other significant factors that impact retail product prices, the most important of which is the supply/demand balance for each product. But the point of this slide is to show that generally speaking, as world crude oil prices rise and fall, so do retail product prices. Because of the critical importance of crude oil price levels, my presentation today will look first at global oil supply and demand, and then at the factors that differentiate the markets for each product. I'll also talk briefly about natural gas, and the impact that gas

251

Recent Weekly Retail Price Changes Have Been as Expected  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: Using the results of this research, EIA has been able to create a model that takes observed changes in spot prices over the previous weeks, and forecasts what this week's retail price change will be. As you can see from this chart, we've been fairly successful. This chart shows that the model is quite accurate at forecasting one week ahead. In fact, in the first 28 weeks of this year, our model correctly forecasted the direction of the retail price change 26 times, for an accuracy rate of 93 percent . Additionally, as you can see, most weeks it did a very good job of forecasting the relative magnitude of the increase or decrease in retail prices. We're still refining this model, and customizing it for each region, so we've got quite a bit of work left

252

South Dakota No 2 Diesel Ultra Low Sulfur Less than 15 ppm Retail ...  

U.S. Energy Information Administration (EIA)

South Dakota No 2 Diesel Ultra Low Sulfur Less than 15 ppm Retail Sales by Refiners (Thousand Gallons per Day)

253

Total Imports  

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

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

254

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,"-"

255

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,"-"

256

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,"-"

257

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,"-"

258

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,"-"

259

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,"-"

260

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,"-"

Note: This page contains sample records for the topic "variables total retail" 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

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,"-"

262

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,"-"

263

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,"-"

264

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,"-"

265

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,"-"

266

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,"-"

267

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,"-"

268

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,"-"

269

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,"-"

270

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,"-"

271

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,"-"

272

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,"-"

273

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,"-"

274

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,"-"

275

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,"-"

276

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,"-"

277

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,"-"

278

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,"-"

279

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,"-"

280

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,"-"

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they are not comprehensive nor are they the most current set.
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281

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,"-"

282

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,"-"

283

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,"-"

284

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,"-"

285

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

286

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,"-"

287

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,"-"

288

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,"-"

289

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,"-"

290

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

291

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,"-"

292

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,"-"

293

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,"-"

294

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,"-"

295

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,"-"

296

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,"-"

297

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,"-"

298

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,"-"

299

SPP marketing flyer for retail | ENERGY STAR Buildings & Plants  

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

marketing flyer for retail marketing flyer for retail Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

300

Impact of Variety and Distribution System Characteristics on Inventory Levels at U.S. Retailers  

Science Conference Proceedings (OSTI)

Over the past six decades, numerous analytical models have been developed to determine optimal inventory levels. These models predict that inventories carried by a retailer should be a function of the product variety carried by the retailer, distribution ... Keywords: econometric analysis, empirical research, inventory, retailing, supply chain management

Sampath Rajagopalan

2013-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "variables total retail" 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

Retail Unbundling - Illinois - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Customers may choose to discontinue service under the program, ... Status as of January 2003: Number of Customers. Customer Type. Total 2001. Eligible. Participating.

302

Efficient Retail Pricing in Electricity and Natural Gas Markets: A Familiar Problem with New Challenges  

E-Print Network (OSTI)

A long line of research investigates whether the retail prices of electricity and natural gas send proper signals about scarcity in order to induce efficient consumption. Historically, regulated utilities have not designed tariffs that set marginal prices equal to marginal costs. Currently, some jurisdictions are opening the retail sectors of the gas and electricity industry to competition via “retail choice”. These new regimes replace imperfect regulation with imperfect competition as the process by which retail tariffs are formed. We discuss the challenges in evaluating the efficiency of these new pricing regimes and present descriptive evidence of how pricing has changed in markets with retail choice.

Steven L. Puller; Jeremy West

2013-01-01T23:59:59.000Z

303

Modelling and simulating retail management practices: a first approach  

E-Print Network (OSTI)

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between people management practices on the shop-floor and retail performance. Despite the fact we are working within a relatively novel and complex domain, it is clear that using an agent-based approach offers great potential for improving organizational capabilities in the future. Our multi-disciplinary research team has worked closely with one of the UK's top ten retailers to collect data and build an understanding of shop-floor operations and the key actors in a department (customers, staff, and managers). Based on this case study we have built and tested our first version of a retail branch agent-based simulation model where we have focused on how we can simulate the effects of people management practices on customer satisfaction and sales. In our experiments we hav...

Siebers, Peer-Olaf; Celia, Helen; Clegg, Chris

2010-01-01T23:59:59.000Z

304

Impact of liberalization on Italian retail gas prices  

Science Conference Proceedings (OSTI)

This paper aims to analyze the effects deriving from the liberalization process in the Italian natural gas market carried out by the Italian government through the legislative decree n. 164/2000. More specifically, the objective is to analyze the competitiveness ... Keywords: Italian gas market liberalization, import gas prices, linear regression analysis, natural gas retail prices

Guendalina Capece; Livio Cricelli; Francesca Di Pillo; Nathan Levialdi

2007-08-01T23:59:59.000Z

305

U.S. Total Gasoline Retail Sales by Refiners (Thousand Gallons per ...  

U.S. Energy Information Administration (EIA)

Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1980's: 51,106.9: 57,573.4: 57,536.1: 61,369.3: 61,023.5: 61,029.2: 61,226.0: 1990's ...

306

Alternative Fuels Data Center: Business Case for E85 Fuel Retailers  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Business Case for E85 Business Case for E85 Fuel Retailers to someone by E-mail Share Alternative Fuels Data Center: Business Case for E85 Fuel Retailers on Facebook Tweet about Alternative Fuels Data Center: Business Case for E85 Fuel Retailers on Twitter Bookmark Alternative Fuels Data Center: Business Case for E85 Fuel Retailers on Google Bookmark Alternative Fuels Data Center: Business Case for E85 Fuel Retailers on Delicious Rank Alternative Fuels Data Center: Business Case for E85 Fuel Retailers on Digg Find More places to share Alternative Fuels Data Center: Business Case for E85 Fuel Retailers on AddThis.com... More in this section... Ethanol Basics Benefits & Considerations Stations Locations Infrastructure Development Business Case Equipment Options Equipment Installation

307

Retail Electric Competition: A Blueprint for Consumer Protection  

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

Retail Electric Competition: Retail Electric Competition: A Blueprint for Consumer Protection Barbara Reid Alexander Consumer Affairs Consultant 15 Wedgewood Drive Winthrop, Maine 04364 October 1998 This report was prepared for the U.S. Department of Energy, Chicago Regional Support Office (Purchase Order DE-AP45-97R553188). Funding was provided by the Department of EnergyÂ’s Office of Power Technologies, Ofiice of Energy Efficiency and Renewable Energy. ii 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,

308

Reliant Energy Retail Services LLC | Open Energy Information  

Open Energy Info (EERE)

Services LLC Services LLC Jump to: navigation, search Name Reliant Energy Retail Services LLC Place Texas Utility Id 15847 Utility Location Yes Ownership R NERC Location TRE NERC ERCOT Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png 12 (e-sense Time-Of with 20% Wind) Residential Basic Power Plan - 12 (Commercial Service) Commercial One Rate For Business Commercial POLR (Residential Service) Residential Average Rates Residential: $0.1360/kWh Commercial: $0.1370/kWh Industrial: $0.0680/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a"

309

Mirage: Mitigating Illicit Inventorying in a RFID Enabled Retail Environment  

E-Print Network (OSTI)

Given its low dollar and maintenance cost, RFID is poised to become the enabling technology for inventory control and supply chain management. However, as an outcome of its low cost, RFID based inventory control is susceptible to pernicious security and privacy threats. A deleterious attack on such a system is corporate espionage, where attackers through illicit inventorying infer sales and restocking trends for products. In this paper, we first present plausible aftermaths of corporate espionage using real data from online sources. Second, to mitigate corporate espionage in a retail store environment, we present a simple lowcost system called Mirage. Mirage uses additional programmable low cost passive RFID tags called honeytokens to inject noise in retail store inven-torying. Using a simple history based algorithm that controls activation and de-activation of honeytokens, Mirage randomizes sales and restocking trends. We evaluate Mirage in a real warehouse environment using a commercial off-the-shelf Motoro...

White, Jonathan

2010-01-01T23:59:59.000Z

310

Municipal Aggregation and Retail Competition in the Ohio Energy Sector  

E-Print Network (OSTI)

Ohio allows communities to vote to aggregate the loads of individual consumers (unless they opt out) in order to seek a competitive energy supplier. Over 200 communities have voted to do this for electricity. By 2004 residential switching reached 69 % in Cleveland territory (95 % from municipal aggregation) but by 2006 had fallen to 8%. Savings are now small, but customer acquisition costs are low and the cost to consumers is negligible. Aggregation and retail competition have been thwarted by Rate Stabilization Plans holding incumbent utility prices below cost since 2006. In the Ohio gas sector, rate regulation has not discouraged aggregation and competition, but market prices falling below municipally negotiated rates can be politically embarrassing. How municipal aggregation would fare against individual choice in a market conducive to retail competition is an open question, but the policy deserves consideration elsewhere.

Stephen Littlechild; Stephen Littlechild

2007-01-01T23:59:59.000Z

311

Will electricity market reform likely reduce retail rates?  

Science Conference Proceedings (OSTI)

To win public support, proponents for electricity market reform to introduce competition often promise that the post-reform retail rates will be lower than the average embedded cost rates that would have prevailed under the status quo of a regulated monopoly. A simple economic analysis shows that such a promise is unlikely to occur without the critical assumption that the post-reform market has marginal costs below average costs. (author)

Woo, C.K.; Zarnikau, Jay

2009-03-15T23:59:59.000Z

312

Why Events Overseas Matter to Gasoline Retailers and Consumers  

Reports and Publications (EIA)

Attempts to explain how changes in the global supply and demand of crude oil can affect retail gasoline prices in various parts of the country. It does this by exploring 3 recent gasoline price spikes: Spring 2001, March 2003, and August 2003. The presentation compares and contrasts these price spikes in order to give the audience an understanding of the various reasons behind gasoline price increases.

Information Center

2003-10-01T23:59:59.000Z

313

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",30357,46998,6787,3975,"NA",2263,"NA",90380 "Percentage of Retail Sales",33.59,52,7.51,4.4,"NA",2.5,"NA",100 "Revenue from Retail Sales...

314

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",55060,23624,"NA",204,233,65504,"NA",144624 "Percentage of Retail Sales",38.07,16.33,"NA",0.14,0.16,45.29,"NA",100 "Revenue from Retail...

315

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",87335,10029,"NA",7813,153,48816,"NA",154145 "Percentage of Retail Sales",56.66,6.51,"NA",5.07,0.1,31.67,"NA",100 "Revenue from Retail Sales...

316

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",11724,1952,"NA","NA",39,16677,"NA",30392 "Percentage of Retail Sales",38.58,6.42,"NA","NA",0.13,54.87,"NA",100 "Revenue from Retail Sales...

317

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",30754,762,"NA",4566,"NA",29253,"NA",65335 "Percentage of Retail Sales",47.07,1.17,"NA",6.99,"NA",44.77,"NA",100 "Revenue from Retail Sales...

318

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",30115,8791,108,13703,201,"NA","NA",52918 "Percentage of Retail Sales",56.91,16.61,0.2,25.89,0.38,"NA","NA",100 "Revenue from Retail Sales...

319

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",101256,16457,6,18696,"NA","NA","NA",136415 "Percentage of Retail Sales",74.23,12.06,"*",13.71,"NA","NA","NA",100 "Revenue from Retail Sales...

320

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",43321,9562,57,14095,765,"NA","NA",67800 "Percentage of Retail Sales",63.9,14.1,0.08,20.79,1.13,"NA","NA",100 "Revenue from Retail Sales...

Note: This page contains sample records for the topic "variables total retail" 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

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",5730,1503,317,3807,"NA","NA","NA",11356 "Percentage of Retail Sales",50.46,13.23,2.79,33.53,"NA","NA","NA",100 "Revenue from Retail...

322

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",175247,36079,"NA",19883,1,"NA","NA",231210 "Percentage of Retail Sales",75.8,15.6,"NA",8.6,"*","NA","NA",100 "Revenue from Retail Sales...

323

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",64250,6888,"NA",6288,465,66870,"NA",144761 "Percentage of Retail Sales",44.38,4.76,"NA",4.34,0.32,46.19,"NA",100 "Revenue from Retail Sales...

324

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",31029,8939,4,4554,"NA",1500,"NA",46026 "Percentage of Retail Sales",67.42,19.42,0.01,9.89,"NA",3.26,"NA",100 "Revenue from Retail Sales...

325

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",2240,71159,6832,23183,107,"NA","NA",103522 "Percentage of Retail Sales",2.16,68.74,6.6,22.39,0.1,"NA","NA",100 "Revenue from Retail Sales...

326

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",6871,179,"NA",657,6,3177,"NA",10890 "Percentage of Retail Sales",63.1,1.64,"NA",6.03,0.05,29.17,"NA",100 "Revenue from Retail Sales...

327

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",48953,1204,"NA",155,170,28697,"NA",79179 "Percentage of Retail Sales",61.83,1.52,"NA",0.2,0.21,36.24,"NA",100 "Revenue from Retail Sales...

328

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",6495,17,422,3870,"NA",2620,"NA",13423 "Percentage of Retail Sales",48.38,0.12,3.14,28.83,"NA",19.52,"NA",100 "Revenue from Retail...

329

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

"Retail Sales (thousand megawatthours)",4451,1869,"NA",1262,"NA",4023,"NA",11606 "Percentage of Retail Sales",38.35,16.11,"NA",10.88,"NA",34.67,"NA",100 "Revenue from Retail...

330

Retail Price Changes Lag Spot Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

This effect can explain some of the seemingly anomalous behavior of retail prices in relation to wholesale. ... Also, many have claimed that gasoline prices rise ...

331

Sweetener Market Data Historical Deliveries by Use - Retail | Data.gov  

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

Retail Retail Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Sweetener Market Data Historical Deliveries by Use - Retail Dataset Summary Description Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Retail Grocers and Chain Stores" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico". Tags {sweetener,beet,cane,"sweetener processor","sweetener refiner","sweetener production "}

332

The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California  

E-Print Network (OSTI)

say that, among commercial electricity rates in California,to optimize their electricity rate both before and after PVcompared to retail electricity rates. The importance of

Wiser, Ryan; Mills, Andrew; Barbose, Galen; Golove, William

2007-01-01T23:59:59.000Z

333

Refiner Retail Price of No. 4 Fuel Oil - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

History; U.S. W: W : W : W ... Alabama-- - - - - 1994-2012: Arkansas-- ... Retail prices and Prime Supplier sales values shown for the current month ...

334

The impact of retail rate structures on the economics of commercial photovoltaic systems in California  

E-Print Network (OSTI)

How Effective State Net Metering Laws Can Revolutionalizebe of importance. The value of net metering is found to beRetail rate design, Net metering Introduction The solar

Mills, Andrew D.

2009-01-01T23:59:59.000Z

335

Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets  

E-Print Network (OSTI)

Asymmetrically to Crude Oil Price Changes? ”, QuarterlyS. , A. Shepard. “Sticky Prices, Inventories, and MarketGas Wars: Retail Gasoline Price Fluctua- tions”, Review of

Noel, Michael

2004-01-01T23:59:59.000Z

336

The determinants of the governance of air conditioning maintenance in Australian retail centres.  

E-Print Network (OSTI)

??Retail centres are a visible sign of developed capitalist societies and make an appreciable contribution to these economies. For the firms involved in supplying air… (more)

Bridge, Adrian J.

2008-01-01T23:59:59.000Z

337

Figure 10. U.S. Average Retail Regular Motor Gasoline and ...  

U.S. Energy Information Administration (EIA)

U.S. Average Retail Regular Motor Gasoline and On-Highway Diesel Fuel Prices, January 2013 to Present ... Including Taxes) Title: Weekly Petroleum ...

338

The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California  

E-Print Network (OSTI)

We compute the annual electricity bill savings that would bebasic results on the electricity bill-savings value ofbill savings across 20 commercial-customer retail electricity

Mills, Andrew

2009-01-01T23:59:59.000Z

339

The impact of retail rate structures on the economics of commercial photovoltaic systems in California  

E-Print Network (OSTI)

We compute the annual electricity bill savings that would bebasic results on the electricity bill-savings value ofbill savings across 20 commercial-customer retail electricity

Mills, Andrew D.

2009-01-01T23:59:59.000Z

340

Retail Price of Propane (Consumer Grade) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Retail prices and Prime ...

Note: This page contains sample records for the topic "variables total retail" 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

Benchmarking and Equipment and Controls Assessment for a 'Big Box' Retail Chain  

Science Conference Proceedings (OSTI)

The paper describes work to enable improved energy performance of existing and new retail stores belonging to a national chain and thereby also identify measures and tools that would improve the performance of 'big box' stores generally. A detailed energy simulation model of a standard store design was developed and used to: (1) demonstrate the benefits of benchmarking the energy performance of retail stores of relatively standard design using baselines derived from simulation, (2) identify cost-effective improvements in the efficiency of components to be incorporated in the next design cycle, and (3) use simulation to identify potential control strategy improvements that could be adopted in all stores, improving operational efficiency. The core enabling task of the project was to develop an energy model of the current standard design using the EnergyPlus simulation program. For the purpose of verification of the model against actual utility bills, the model was reconfigured to represent twelve existing stores (seven relatively new stores and five older stores) in different US climates and simulations were performed using weather data obtained from the National Weather Service. The results of this exercise, which showed generally good agreement between predicted and measured total energy use, suggest that dynamic benchmarking based on energy simulation would be an effective tool for identifying operational problems that affect whole building energy use. The models of the seven newer stores were then configured with manufacturers performance data for the equipment specified in the current design and used to assess the energy and cost benefits of increasing the efficiency of selected HVAC, lighting and envelope components. The greatest potential for cost-effective energy savings appears to be a substantial increase in the efficiency of the blowers in the roof top units and improvements in the efficiency of the lighting. The energy benefits of economizers on the roof-top units were analyzed and found to be very sensitive to the operation of the exhaust fans used to control building pressurization.

Haves, Philip; Coffey, Brian; Williams, Scott

2008-06-11T23:59:59.000Z

342

Traditional Inventory Models in an E-Retailing Setting: A Two-Stage Serial System with Space Constraints  

E-Print Network (OSTI)

In an e-retailing setting, the efficient utilization of inventory, storage space, and labor is paramount to achieving high levels of customer service and company profits. To optimize the storage space and labor, a retailer ...

Allgor, Russell

343

Microsoft Word - HZEB_Retail_InterimReport_Final.docx  

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

! ! ! Healthy!Zero!Energy!Buildings!(HZEB)!Program-! ! ! Interim!Report!on!Cross"Sectional!Study!of!Contaminant!! ! ! Levels,!Source!Strengths,!and!Ventilation!Rates!in!Retail!Stores! ! ! ! ! Wanyu!R.!Chan,!Meera!Sidheswaran,!Douglas!Sullivan,!! ! ! Sebastian!Cohn,!William!J.!Fisk!! ! ! ! Environmental!Energy!Technologies!Division! ! ! Indoor!Environment!Group! ! ! Lawrence!Berkeley!National!Laboratory! ! ! Berkeley,!CA!94720! ! ! ! ! ! ! ! ! ! ! November!5,!2012! ! ! ! ! ! ! ! ! ! ! The!research!reported!here!was!supported!by!the!California!Energy!Commission! ! ! Public!Interest!Energy!Research!Program,!Energy"Related!Environmental!! ! ! Research!Program,!award!number!500"09"049.!!The!project!was!also!supported! ! ! by!the!U.S.!Dept.!of!Energy!Building!Technologies!Program,!Office!of!Energy!

344

Tracking Market Transitions: Retail Customers and Energy Competition  

Science Conference Proceedings (OSTI)

U.S. electricity markets have been transitioning in an uneven, but accelerating pace toward competition. Enough experience with competition exists by now to begin to draw from lessons learned. This report summarizes key trends observed in U.S. competitive energy markets to-date, and suggests several trends that are likely to emerge in the near future. Among some of the most important trends observed are the declining number of retail mass-market energy service providers, and the relative lack of differen...

1999-11-22T23:59:59.000Z

345

The U.S. average retail price for on-highway diesel fuel rose...  

Annual Energy Outlook 2012 (EIA)

The U.S. average retail price for on-highway diesel fuel rose this week The U.S. average retail price for on-highway diesel fuel rose to 3.93 a gallon on Monday. That's up 2 ...

346

E85 Retail Business Case: When and Why to Sell E85 (Presentation)  

SciTech Connect

Agenda: {lg_bullet} Convey current state of the retail gasoline market {lg_bullet} Explore E85 as part of the solution {lg_bullet} Test the profitability of E85 as an investment {lg_bullet} Give retailers guidance to assess if E85 would be a good investment for them

Johnson, C.

2007-08-30T23:59:59.000Z

347

Enhancing the 'second-hand' retail experience with digital object memories  

Science Conference Proceedings (OSTI)

For a long time, the second-hand retail market was the preserve of the charity shop. However, the advent of services like eBay has massively increased its prominence. In this paper we describe a novel Internet of Things-based approach to enhancing the ... Keywords: RFID, digital object memory, internet of things, second-hand retail

Martin de Jode; Ralph Barthel; Jon Rogers; Angelina Karpovich; Andrew Hudson-Smith; Michael Quigley; Chris Speed

2012-09-01T23:59:59.000Z

348

E-BUSINESS FOR THE ELECTRICITY RETAIL MARKET A Business to Client perspective  

E-Print Network (OSTI)

E-BUSINESS FOR THE ELECTRICITY RETAIL MARKET A Business to Client perspective Victor Santos ISCAC - 290 Coimbra, Portugal Email: amartins@deec.uc.pt Keywords: Electrical retail, e-Business, B2B, B2C, real time price. Abstract: In the new deregulated market of the electricity industry the communication

Monteiro, Edmundo

349

Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality  

E-Print Network (OSTI)

Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality Leigh-NE, MISO, XM, RTE, MEC IRW Project: Integrated Retail/Wholesale Power System Operation with Smart-Grid Functionality 3 #12;4 Meaning of "Smart Grid Functionality"? For our project purposes: Smart-grid functionality

Tesfatsion, Leigh

350

Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality  

E-Print Network (OSTI)

1 Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality Dionysios of retail and wholesale power markets operating over transmission and distribution networks with smart-grid metering. This study reports on the latter work. Index Terms--Restructured power markets, smart grid

Tesfatsion, Leigh

351

Property:EIA/861/ActivityRetailMarketing | Open Energy Information  

Open Energy Info (EERE)

ActivityRetailMarketing ActivityRetailMarketing Jump to: navigation, search This is a property of type Boolean. Description: Activity Retail Marketing Entity engages in retail power marketing (Y or N) [1] References ↑ EIA Form EIA-861 Final Data File for 2008 - F861 File Layout-2008.doc Subproperties This property has the following 1 subproperty: D Duquesne Light Co Pages using the property "EIA/861/ActivityRetailMarketing" Showing 25 pages using this property. (previous 25) (next 25) 3 3 Phases Energy Services + true + A AP Holdings LLC + true + APN Starfirst, L.P. + true + APNA Energy + true + Accent Energy Holdings, LLC + true + Agway Energy Services, LLC + true + Alabama Power Co + true + Alaska Power and Telephone Co + true + Allegheny Energy Supply Co LLC + true +

352

On the Interactions Between Routing and Inventory-Management Policies in a One-Warehouse N-Retailer Distribution System  

Science Conference Proceedings (OSTI)

This paper examines the interactions between routing and inventory-management decisions in a two-level supply chain consisting of a cross-docking warehouse and N retailers. Retailer demand is normally distributed and independent across retailers ... Keywords: inventory allocation, inventory replenishment, routing, supply chain

Leroy B. Schwarz; James E. Ward; Xin Zhai

2006-01-01T23:59:59.000Z

353

The Impact of Retail Rate Structures on the Economics ofCommercial Photovoltaic Systems in California  

SciTech Connect

To achieve a sizable and self-sustaining market for grid-connected, customer-sited photovoltaic (PV) systems, solar will likely need to be competitive with retail electricity rates. In this report, we examine the impact of retail rate design on the economic value of commercial PV systems in California. Using 15-minute interval building load and PV production data from 24 actual commercial PV installations, we compare the value of the bill savings across 20 commercial customer retail rates currently offered in the state. We find that the specifics of the rate structure, combined with the characteristics of the customer's underlying load and the size of the PV system, can have a substantial impact on the customer-economics of commercial PV systems. Key conclusions for policymakers that emerge from our analysis are as follows: {sm_bullet} Rate design is fundamental to the economics of commercial PV. The rate-reduction value of PV for our sample of commercial customers, considering all available retail tariffs, ranges from $0.05/kWh to $0.24/kWh, reflecting differences in rate structures, the revenue requirements of the various utilities, the size of the PV system relative to building load, and customer load shapes. For the average customer in our sample, differences in rate structure, alone, alter the value of PV by 25% to 75%, depending on the size of the PV system relative to building load. {sm_bullet} TOU-based energy-focused rates can provide substantial value to many PV customers. Retail rates that wrap all or most utility cost recovery needs into time-of-use (TOU)-based volumetric energy rates, and which exclude or limit demand-based charges, provide the most value to PV systems across a wide variety of circumstances. Expanding the availability of such rates will increase the value of many commercial PV systems. {sm_bullet} Offering commercial customers a variety of rate options would be of value to PV. Despite the advantages of energy-focused rates for PV, requiring the use of these tariffs would disadvantage some commercial PV installations. In particular, for PV systems that serve less than 25-50% of annual customer load, the characteristics of the customer's underlying load profile often determine the most favorable rate structure, and energy-focused rate structures may not be ideal for many commercial-customer load shapes. Regulators that wish to establish rates that are beneficial to a range of PV applications should therefore consider allowing customers to choose from among a number of different rate structures. {sm_bullet} Eliminating net metering can significantly degrade the economics of PV systems that serve a large percentage of building load. Under the assumptions stipulated in this report, we find that an elimination of net metering could, in some circumstances, result in more than a 25% loss in the rate-reduction value of commercial PV. As long as annual solar output is less than roughly 25% of customer load and excess PV production can be sold to the local utility at a rate above $0.05/kWh, however, elimination of net metering is found to rarely result in a financial loss of greater than 5% of the rate-reduction value of PV. More detailed conclusions on the rate-reduction value of commercial PV include: {sm_bullet} Commercial PV systems can sometimes greatly reduce demand charges. Though energy-focused retail rates often offer the greatest rate reduction value, commercial PV installations can generate significant reductions in demand charges, in some cases constituting 10-50% of the total rate savings derived from PV installations. These savings, however, depend highly on the size of the PV system relative to building load, on the customer's load shape, and on the design of the demand charge itself. {sm_bullet} The value of demand charge reductions declines with PV system size. At high levels of PV penetration, the value of PV-induced demand charge savings on a $/kWh basis can drop substantially. As a result, the rate-reduction value of PV can decline by up to one-half when a PV system m

Wiser, Ryan; Mills, Andrew; Barbose, Galen; Golove, William

2007-07-03T23:59:59.000Z

354

The Impact of Retail Rate Structures on the Economics ofCommercial Photovoltaic Systems in California  

SciTech Connect

To achieve a sizable and self-sustaining market for grid-connected, customer-sited photovoltaic (PV) systems, solar will likely need to be competitive with retail electricity rates. In this report, we examine the impact of retail rate design on the economic value of commercial PV systems in California. Using 15-minute interval building load and PV production data from 24 actual commercial PV installations, we compare the value of the bill savings across 20 commercial customer retail rates currently offered in the state. We find that the specifics of the rate structure, combined with the characteristics of the customer's underlying load and the size of the PV system, can have a substantial impact on the customer-economics of commercial PV systems. Key conclusions for policymakers that emerge from our analysis are as follows: {sm_bullet} Rate design is fundamental to the economics of commercial PV. The rate-reduction value of PV for our sample of commercial customers, considering all available retail tariffs, ranges from $0.05/kWh to $0.24/kWh, reflecting differences in rate structures, the revenue requirements of the various utilities, the size of the PV system relative to building load, and customer load shapes. For the average customer in our sample, differences in rate structure, alone, alter the value of PV by 25% to 75%, depending on the size of the PV system relative to building load. {sm_bullet} TOU-based energy-focused rates can provide substantial value to many PV customers. Retail rates that wrap all or most utility cost recovery needs into time-of-use (TOU)-based volumetric energy rates, and which exclude or limit demand-based charges, provide the most value to PV systems across a wide variety of circumstances. Expanding the availability of such rates will increase the value of many commercial PV systems. {sm_bullet} Offering commercial customers a variety of rate options would be of value to PV. Despite the advantages of energy-focused rates for PV, requiring the use of these tariffs would disadvantage some commercial PV installations. In particular, for PV systems that serve less than 25-50% of annual customer load, the characteristics of the customer's underlying load profile often determine the most favorable rate structure, and energy-focused rate structures may not be ideal for many commercial-customer load shapes. Regulators that wish to establish rates that are beneficial to a range of PV applications should therefore consider allowing customers to choose from among a number of different rate structures. {sm_bullet} Eliminating net metering can significantly degrade the economics of PV systems that serve a large percentage of building load. Under the assumptions stipulated in this report, we find that an elimination of net metering could, in some circumstances, result in more than a 25% loss in the rate-reduction value of commercial PV. As long as annual solar output is less than roughly 25% of customer load and excess PV production can be sold to the local utility at a rate above $0.05/kWh, however, elimination of net metering is found to rarely result in a financial loss of greater than 5% of the rate-reduction value of PV. More detailed conclusions on the rate-reduction value of commercial PV include: {sm_bullet} Commercial PV systems can sometimes greatly reduce demand charges. Though energy-focused retail rates often offer the greatest rate reduction value, commercial PV installations can generate significant reductions in demand charges, in some cases constituting 10-50% of the total rate savings derived from PV installations. These savings, however, depend highly on the size of the PV system relative to building load, on the customer's load shape, and on the design of the demand charge itself. {sm_bullet} The value of demand charge reductions declines with PV system size. At high levels of PV penetration, the value of PV-induced demand charge savings on a $/kWh basis can drop substantially. As a result, the rate-reduction value of PV can decline by up to one-half when a PV system meets 75% rather

Wiser, Ryan; Mills, Andrew; Barbose, Galen; Golove, William

2007-07-03T23:59:59.000Z

355

Coordination of Retail Demand Response with Midwest ISO Markets  

SciTech Connect

The Organization of Midwest ISO States (OMS) launched the Midwest Demand Resource Initiative (MWDRI) in 2007 to identify barriers to deploying demand response (DR) resources in the Midwest Independent System Operator (MISO) region and develop policies to overcome them. The MWDRI stakeholders decided that a useful initial activity would be to develop more detailed information on existing retail DR programs and dynamic pricing tariffs, program rules, and utility operating practices. This additional detail could then be used to assess any"seams issues" affecting coordination and integration of retail DR resources with MISO's wholesale markets. Working with state regulatory agencies, we conducted a detailed survey of existing DR programs, dynamic pricing tariffs, and their features in MISO states. Utilities were asked to provide information on advance notice requirements to customers, operational triggers used to call events (e.g. system emergencies, market conditions, local emergencies), use of these DR resources to meet planning reserves requirements, DR resource availability (e.g., seasonal, annual), participant incentive structures, and monitoring and verification (M&V) protocols. This report describes the results of this comprehensive survey and discusses policy implications for integrating legacy retail DR programs and dynamic pricing tariffs into organized wholesale markets. Survey responses from 37 MISO members and 4 non-members provided information on 141 DR programs and dynamic pricing tariffs with a peak load reduction potential of 4,727 MW of retail DR resource. Major findings of this study area:- About 72percent of available DR is from interruptible rate tariffs offered to large commercial and industrial customers, while direct load control (DLC) programs account for ~;;18percent. Almost 90percent of the DR resources included in this survey are provided by investor-owned utilities. - Approximately, 90percent of the DR resources are available with less than two hours advance notice and over 1,900 MW can be dispatched on less than thirty minutes notice. These legacy DR programs are increasingly used by utilities for economic in addition to reliability purposes, with over two-thirds (68percent) of these programs callable based on market conditions. - Approximately 60percent of DLC programs and 30percent of interruptible rate programs called ten or more DR events in 2006. Despite the high frequency of DR events, customer complaints remained low. The use of economic criteria to trigger DR events and the flexibility to trigger a large number of events suggests that DR resources can help improve the efficiency of MISO wholesale markets. - Most legacy DR programs offered a reservation payment ($/kW) for participation; incentive payment levels averaged about $5/kW-month for interruptible rate tariffs and $6/kW-month for DLC programs. Few programs offered incentive payments that were explicitly linked to actual load reductions during events and at least 27 DR programs do not have penalties for non-performance. - Measurement and verification (M&V) protocols to estimate load impacts vary significantly across MISO states. Almost half of the DR programs have not been evaluated in recent times and thus performance data for DR events is not available. For many DLC programs, M&V protocols may need to be enhancedin order to allow participation in MISO's proposed EDR schedule. System operators and planners will need to develop more accurate estimates of the load reduced capability and actual performance.

Bharvirkar, Ranjit; Bharvirkar, Ranjit; Goldman, Charles; Heffner, Grayson; Sedano, Richard

2008-05-27T23:59:59.000Z

356

Lessons and challenges from mining retail e-commerce data  

E-Print Network (OSTI)

Abstract. The architecture of Blue Martini Software’s e-commerce suite has supported data collection, transformation, and data mining since its inception. With clickstreams being collected at the application-server layer, high-level events being logged, and data automatically transformed into a data warehouse using meta-data, common problems plaguing data mining using weblogs (e.g. sessionization and conflating multi-sourced data) were obviated, thus allowing us to concentrate on actual data mining goals. We briefly review the architecture and discuss many lessons learned over the last four years and the challenges still facing us. The lessons and challenges are presented across two dimensions: business-level vs. technical, and throughout the data mining lifecycle stages of data collection, data warehouse construction, business intelligence, and deployment. The lessons and challenges are more widely applicable to data mining domains outside retail e-commerce. Keywords: Data mining, data analysis, business intelligence, web analytics, web mining, OLAP,

Ron Kohavi; Llew Mason; Rajesh Parekh; Zijian Zheng

2004-01-01T23:59:59.000Z

357

,"New York Gasoline and Diesel Retail Prices"  

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

Gasoline and Diesel Retail Prices" Gasoline and Diesel Retail Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Gasoline and Diesel Retail Prices",12,"Weekly","12/16/2013","6/5/2000" ,"Release Date:","12/16/2013" ,"Next Release Date:","12/23/2013" ,"Excel File Name:","pet_pri_gnd_dcus_sny_w.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_gnd_dcus_sny_w.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

358

,"New York City Gasoline and Diesel Retail Prices"  

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

City Gasoline and Diesel Retail Prices" City Gasoline and Diesel Retail Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York City Gasoline and Diesel Retail Prices",8,"Weekly","12/16/2013","6/5/2000" ,"Release Date:","12/16/2013" ,"Next Release Date:","12/23/2013" ,"Excel File Name:","pet_pri_gnd_dcus_y35ny_w.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_gnd_dcus_y35ny_w.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

359

Total Energy - Data - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Flow, (Quadrillion Btu) Total Energy Flow, (Quadrillion Btu) Total Energy Flow diagram image Footnotes: 1 Includes lease condensate. 2 Natural gas plant liquids. 3 Conventional hydroelectric power, biomass, geothermal, solar/photovoltaic, and wind. 4 Crude oil and petroleum products. Includes imports into the Strategic Petroleum Reserve. 5 Natural gas, coal, coal coke, biofuels, and electricity. 6 Adjustments, losses, and unaccounted for. 7 Natural gas only; excludes supplemental gaseous fuels. 8 Petroleum products, including natural gas plant liquids, and crude oil burned as fuel. 9 Includes 0.01 quadrillion Btu of coal coke net exports. 10 Includes 0.13 quadrillion Btu of electricity net imports. 11 Total energy consumption, which is the sum of primary energy consumption, electricity retail sales, and electrical system energy losses.

360

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR  

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

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY The enclosed report is submitted to Congress pursuant to section 1815 of the Energy Policy Act of 2005. Section 1815 of the Act established a five-member Electric Energy Market Competition Task Force. The Energy Policy Act of 2005 (EPAct 2005)1 was designed to provide a comprehensive long-range energy plan for the United States. Section 1815 of the Act2 created an "Electric Energy Market Competition Task Force"3 (Task Force) to conduct a study of competition in wholesale and retail markets for electricity in the United States. Section 1815(b)(2)(B) required the Task Force to publish a draft final report for public comment

Note: This page contains sample records for the topic "variables total retail" 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

Buildings Energy Data Book: 3.7 Retail Markets and Companies  

Buildings Energy Data Book (EERE)

3 3 2010 Top Supermarkets, by Sales 2010 All Commodity Supermarket Wal-Mart Stores 3,001 Kroger Co. 2,460 Safeway, Inc. 1,461 Supervalu, Inc. 1,504 Ahold USA, Inc. (Stop and Shop, Giant) 746 Publix Super Markets, Inc. 1,035 Delhaize America, Inc. (Food Lion) 1,641 H.E. Butt Grocery Co. (HEB) 291 Meijer Inc. 195 Great Atlantic & Pacific Tea Co. (Pathmark) 373 Note(s): Source(s): All commodity volume in this example represents the "annualized range of the estimated retail sales volume of all items sold at a retail site that pass through the retailer's cash registers. TDLinx ACV is an estimate based on best available data- a directional measure to be used as an indicator of store and account size, not an actual retail sales report". (Progressive Grocer) Progressive Grocer, 2011 Progressive Grocer Super 50

362

Market behavior under partial price controls: the case of the retail gasoline market  

SciTech Connect

The use of firm-specific controls on the price of gasoline during 1979 and 1980, at both the wholesale and the retail level, dramatically affected the retail market for gasoline. The most visible effect was a diversity of monetary prices across service stations within particular retail market areas. Price could no longer play its usual role in clearing the retail market for gasoline. Queues and other changes in quality of service at stations arose to maintain the balance of market demand and supply. This report examines the behavior of an otherwise competitive market in the presence of such regulation-induced nonprice phenomena. In such a market, consumers consider both monetary prices and costs imposed by queues in deciding where to buy gasoline and how much to buy. Using a price-theoretic model of behavior, this paper predicts how various changes in effective price regulation affect consumers. 14 references, 7 figures, 2 tables.

Camm, F.

1983-03-01T23:59:59.000Z

363

Retail gasoline prices in the Rocky Mountains fall as U.S ...  

U.S. Energy Information Administration (EIA)

... gasoline prices in the Rockies were 41 cents below the U.S. average, which was a record for the region since EIA began tracking regional retail price data in 1992.

364

Consumer Light Bulb Changes: Briefing and Resources for Media and Retailers  

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

Briefing for Media and Retailers - Lighting eere.energy.gov Briefing for Media and Retailers - Lighting eere.energy.gov 1 Consumer Light Bulb Changes: Briefing and Resources for Media and Retailers Briefing for Media and Retailers - Lighting eere.energy.gov 2 * Briefing: - To schedule interviews, please contact DOE Public Affairs at 202-586-4940 * Terms: - Lumens: Commonly a measure of brightness (technically "luminous flux") - CFL: Compact Fluorescent Lamp: The curly fluorescent bulbs - LED: Light Emitting Diode: more recently emerging technology, also called "solid state lighting" as it is light produced by a solid-state (chip) device - General Service Incandescent Lamp: The most common residential light bulb in use, with a medium screw base, and a lumen range of 310 to 2,600 lumens

365

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR  

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

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY The enclosed report is submitted to Congress pursuant to section 1815 of the Energy Policy Act of 2005. Section 1815 of the Act established a five-member Electric Energy Market Competition Task Force. The Energy Policy Act of 2005 (EPAct 2005)1 was designed to provide a comprehensive long-range energy plan for the United States. Section 1815 of the Act2 created an "Electric Energy Market Competition Task Force"3 (Task Force) to conduct a study of competition in wholesale and retail markets for electricity in the United States. Section 1815(b)(2)(B) required the Task Force to publish a draft final report for public comment

366

Building Out Alternative Fuel Retail Infrastructure: Government Fleet Spillovers in E85  

E-Print Network (OSTI)

C. and M. Melendez, 2007, “E85 Retail Business Case: Whenand Why to Sell E85,” National Renewable Energy LaboratoryMean Std. dev. Counties with E85 (N=309) Mean Std. dev. E85

Corts, Kenneth S.

2009-01-01T23:59:59.000Z

367

Evaluation of the Indoor Air Quality Procedure for Use in Retail...  

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

(IAQ). The first primary goal of this study was to determine, in a set of California retail stores, the adequacy of Title 24 VRs and observed current measured VRs in providing...

368

The impact of retail rate structures on the economics of commercial photovoltaic systems in California  

E-Print Network (OSTI)

retail electricity rates currently offered in the state.electricity rates currently offered by the five largest electric utilities in the state:electricity tariffs. Rate Design for Commercial Customers in the United States

Mills, Andrew D.

2009-01-01T23:59:59.000Z

369

The Impact of Retail Rate Structures on the Economics of Commercial Photovoltaic Systems in California  

E-Print Network (OSTI)

retail electricity rates currently offered in the state.electricity rates currently offered by the five largest electric utilities in the state:electricity tariffs. Rate Design for Commercial Customers in the United States

Mills, Andrew

2009-01-01T23:59:59.000Z

370

How to best redevelop vacant big box retail property in Texas  

E-Print Network (OSTI)

The purpose of this thesis is to analyze how a developer can best redevelop a vacant big box retail property. To accomplish this, statistical, geographical and demographical analysis was done on previously repositioned ...

Barrera-Villarreal, Alfonso

2011-01-01T23:59:59.000Z

371

Woodward Avenue, Detroit : a pedestrian zone for a changing downtown retail street  

E-Print Network (OSTI)

The thesis studies the changing direction of Detroit's central downtown shopping street, Woodward Avenue. During the last two decades, Woodward Avenue has lost most of its retail market to suburban shopping centers. The ...

Lewis, Philip Strickland

1981-01-01T23:59:59.000Z

372

Hess Retail Natural Gas and Elec. Acctg. (New York) | Open Energy...  

Open Energy Info (EERE)

York) Jump to: navigation, search Name Hess Retail Natural Gas and Elec. Acctg. Place New York Utility Id 22509 References EIA Form EIA-861 Final Data File for 2010 - File220101...

373

PADD 4 Gasoline and Diesel Retail Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

374

Denver Gasoline and Diesel Retail Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

375

Ohio Gasoline and Diesel Retail Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

376

PADD 5 Gasoline and Diesel Retail Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

377

Miami Gasoline and Diesel Retail Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

378

Boston Gasoline and Diesel Retail Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

EIA continued to collect LSD prices from retail outlets and included them in the Diesel Average All Types price until July 26, 2010, when no more outlets reported LSD ...

379

2012 CERTS R&M Peer Review - Summary: A Business Model for Retail...  

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

service contracts. The aggregation of service contracts by retail customers will create a profile of load response that can be offered into the wholesale market. We plan to develop...

380

Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network (OSTI)

then pay/receive the real- time price for deviations fromI assume that the retail real-time prices customers face arewould likely dampen real-time price volatility and the

Borenstein, Severin

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "variables total retail" 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

The impact of retail rate structures on the economics of commercial photovoltaic systems in California  

E-Print Network (OSTI)

How Effective State Net Metering Laws Can RevolutionalizeThe value of net metering is found to be substantial, butRetail rate design, Net metering Introduction The solar

Mills, Andrew D.

2009-01-01T23:59:59.000Z

382

Big box, no more quick fixes : a historical account of consumption, retail and discount shopping typologies  

E-Print Network (OSTI)

As of 2011, the fastest growing sectors of the American economy are related to, or directly involved in the retail business. The conditions which led to this phenomenon are rooted in the fundamental precepts of capitalism, ...

Scanlon, Erik R

2011-01-01T23:59:59.000Z

383

Parameter search in an agent-based model of pedestrian movement in retail environments  

E-Print Network (OSTI)

Parameter search in an agent-based model of pedestrian movement in retail environments is part of a research effort by data-driven architecture in the Cognitive Machine Group at the MIT Media Lab. The approach pursued in ...

Jitapunkul, Thananat

2010-01-01T23:59:59.000Z

384

Variable Screw Compressor, Variable Screw Compressor Suppliers ...  

U.S. Energy Information Administration (EIA)

Variable Screw Compressor Suppliers & air compressor Manufacturers Directory. Source Top Quality Variable Screw Compressor Suppliers, air ...

385

New Energy Product and Design for Retail Service Providers Technical Memorandum  

Science Conference Proceedings (OSTI)

Energy service providers (ESPs) are struggling to make money in the retailing of electricity. During the past two years, leading companies such as Enron Energy Services, Green Mountain Energy, New Energy, and PG&E Energy Services have lost almost $500 million collectively. This initiative will create breakthrough product designs that transcend commoditization of retail electricity markets, replace price wars that destroy shareholder value with market creation activities that simultaneously expand product...

1999-12-08T23:59:59.000Z

386

Unbundling the retail gas market: Current activities and guidance for serving residential and small customers  

Science Conference Proceedings (OSTI)

The restructuring of retail gas services has followed a typical pattern for previously heavily regulated industries: large customers are initially given rights to purchase unbundled services from different entities, with the same rights dispersed over time to smaller customers. For about ten years now industrial customers in most states have been able to {open_quotes}play the market{close_quotes}. Since the passage of the Federal Energy Regulatory Commission (FERC) Order 636 in 1992, interest has centered on expanding service unbundling to small retail customers, including residential customers. Importantly, the Order prohibited pipelines from providing bundled sales service. This is not surprising - in the telecommunications industry, for example, the unbundling of wholesale services was a strong stimulant for developing competition in the local exchange market. The push for small-customer service unbundling has derived from the basic but politically attractive idea that all retail customers should directly benefit from competitive forces in the natural gas industry. When one looks at the movement of prices since 1985, it is easy to see that large retail customers have enjoyed more favorable prices than other retail customers. For example, over the period 1985 to 1994 gas prices to industrial customers and electric utilities fell around 23 percent and 36 percent, respectively. In comparison, gas prices to residential customers increased by around 5 percent while gas prices to commercial customers decreased slightly by about 1 percent. This report examines various aspects of unbundling to small retail gas customers, with special emphasis on residential customers.

Costello, K.W.; Lemon, J.R.

1996-05-01T23:59:59.000Z

387

Performance Variability  

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

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

388

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

Sales (thousand megawatthours)",177437,59446,2326,290,1449,17577,"NA",258525 "Percentage of Retail Sales",68.63,22.99,0.9,0.11,0.56,6.8,"NA",100 "Revenue from Retail Sales...

389

"Item","Full Service Providers",,,,,"Other Providers",,"Total...  

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

(thousand megawatthours)",2351888,557452,43710,411939,10219,379277,"NA",3754486 "Percentage of Retail Sales",62.64,14.85,1.16,10.97,0.27,10.1,"NA",100 "Revenue from Retail...

390

Dry Versus Wet Aging of Beef: Retail Cutting Yields and Palatability Evaluations of Steaks Using Alternative Cutting Styles  

E-Print Network (OSTI)

Boneless ribeye rolls (n = 12) and boneless top sirloin butts (n = 12) were obtained from heavy weight carcasses (mean = 407.8 kg), assigned to one of two aging treatments (dry or wet) and aged for 35 days at a commercial aging facility. Cutting tests were performed at the end of the aging period to determine retail yields. Subprimals were fabricated using the Beef Alternative Merchandising cutting styles, isolating four specific muscles: M. spinalis thoracis, M. longissimus thoracis, M. gluteobiceps, and M. gluteus medius. Retail cutting tests showed wet-aged subprimals had higher (P < 0.0001) total saleable yield percentages with decreased cooler shrink and gross cut loss percentages. This resulted in wet-aged ribeye rolls and top sirloin butts yielding 1.5 times and 1.3 times more saleable product than dry-aged counterparts, respectively. In order to determine palatability characteristics, consumer sensory evaluations and trained panel evaluations were preformed. Palatability related to aging and muscle type resulted in significant differences. From a consumer standpoint, aging treatment influenced OLIKE, FLAV, FLEVEL, and BEEFLIKE but only through the interaction of aging treatment x muscle. Clearly, consumers rated the wet-aged, M. spinalis thoracis highest in each of the previously stated attributes. Aging also affected JUIC, whereas muscle type had a significant (P < 0.0001) effect on FLVBF, TEND, LEVTEND, JUIC, and LEVJUIC. As far as trained sensory attributes were concerned, a more concrete flavor profile of aged beef was obtained. In addition, dry-aged steaks had greater (P < 0.0001) cooking yield percentages when compared to wet-aged steaks.

Smith, Amanda 1987-

2012-12-01T23:59:59.000Z

391

Contaminant levels and source strengths in U.S. retail stores A pilot study  

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

Contaminant levels and source strengths in U.S. retail stores A pilot study Contaminant levels and source strengths in U.S. retail stores A pilot study Title Contaminant levels and source strengths in U.S. retail stores A pilot study Publication Type Conference Paper Year of Publication 2012 Authors Chan, Wanyu R., Meera A. Sidheswaran, Douglas P. Sullivan, Sebastian Cohn, and William J. Fisk Conference Name Healthy Buildings 2012 - 10th International Conference Date Published 2012 Conference Location Brisbane Convention & Exhibition Centre, Brisbane, Queensland Keywords air-exchange rate, building ventilation, indoor-outdoor ratio, particles, vocs Abstract Retail stores have many sources of indoor air contaminants that can cause potential health and odor concerns. One way to control exposure to these contaminants is to provide adequate ventilation. This study aims to characterize the whole-building emission rates of contaminants in certain retail types. The pilot study included two grocery stores and three furniture stores in northern California. We measured simultaneously the building ventilation rates by SF6 decay and contaminant concentrations in each store for one to two days. Contaminants were measured at multiple indoor locations and at one outdoor location near the building. Formaldehyde, acetaldehyde, and acrolein are three compounds with concentrations above health guidelines in some stores. In several cases, indoor concentrations of certain VOCs and PM were higher indoors than outdoors, suggesting potential indoor sources. Our goal is to characterize the range of contaminant source strengths in 25 to 30 stores in California.

392

Department of Agricultural and Resource EconomicsDetermining the Impact of Retailer Store Brand Procurement on Vertical Relationships with Brand Manufacturers and on Market Equilibrium †  

E-Print Network (OSTI)

This paper investigates how a retailer’s store brand supply source impacts vertical pricing and supply channel profitability. Using chain-level retail scanner data from major supermarkets in Boston prior to the leading retailer’s divestiture of its store brand milk processing to a major brand manufacturer I estimate a random coefficients logit demand model employing a Bayesian estimation approach. Bayesian decision theory is applied to select from a set of pricing games the one most likely for the data sample analyzed. Results from this analysis indicate that the empirically valid model has the pre-divested retailer integrated into the processing of its own milk and takes as given the wholesale price of brand milks while competing retailers have nonlinear pricing contracts with brand manufacturers who produce their store brands. This model is matched against a series of counterfactual simulations as a baseline. The counterfactual simulations consider the eventual divestiture of store brand milk processing by the leading retailer

Michael A. Cohen; Michael A. Cohen

2010-01-01T23:59:59.000Z

393

,"Los Angeles Gasoline and Diesel Retail Prices"  

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

Los Angeles Gasoline and Diesel Retail Prices" Los Angeles Gasoline and Diesel Retail Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Los Angeles Gasoline and Diesel Retail Prices",8,"Weekly","12/16/2013","6/5/2000" ,"Release Date:","12/16/2013" ,"Next Release Date:","12/23/2013" ,"Excel File Name:","pet_pri_gnd_dcus_y05la_w.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_gnd_dcus_y05la_w.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

394

E85 Retail Business Case: When and Why to Sell E85  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

E85 Retail Business Case: E85 Retail Business Case: When and Why to Sell E85 C. Johnson and M. Melendez Technical Report NREL/TP-540-41590 December 2007 NREL is operated by Midwest Research Institute â—Ź Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 Technical Report NREL/TP-540-41590 December 2007 E85 Retail Business Case: When and Why to Sell E85 C. Johnson and M. Melendez Prepared under Task No. FC08.0032 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

395

,"San Francisco Gasoline and Diesel Retail Prices"  

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

San Francisco Gasoline and Diesel Retail Prices" San Francisco Gasoline and Diesel Retail Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","San Francisco Gasoline and Diesel Retail Prices",8,"Weekly","12/16/2013","6/5/2000" ,"Release Date:","12/16/2013" ,"Next Release Date:","12/23/2013" ,"Excel File Name:","pet_pri_gnd_dcus_y05sf_w.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_gnd_dcus_y05sf_w.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

396

DOE Awards $15 Million in Technical Assistance to Support Major Retailers,  

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

5 Million in Technical Assistance to Support Major 5 Million in Technical Assistance to Support Major Retailers, Financial Institutions and Real Estate Firms to Adopt Energy-Efficient Technologies DOE Awards $15 Million in Technical Assistance to Support Major Retailers, Financial Institutions and Real Estate Firms to Adopt Energy-Efficient Technologies September 26, 2008 - 3:43pm Addthis Awards Encourage Adoption of Energy-Saving Technologies for New Construction and Retrofits in Commercial Buildings WASHINGTON - The U.S. Department of Energy (DOE) today announced the first phase of awards, valued at $15 million, for the Net-Zero Energy Commercial Building Initiative (CBI). Twenty-one companies, which will include retailers, financial institutions and commercial real estate firms, will team with two of DOE's National Laboratories to speed market adoption of

397

Practice Prize Report---An Assortmentwide Decision-Support System for Dynamic Pricing and Promotion Planning in DIY Retailing  

Science Conference Proceedings (OSTI)

The main objective of this report is to describe a decision-support system for dynamic retail pricing and promotion planning. Our weekly demand model incorporates price, reference price effects, seasonality, article availability information, features, ... Keywords: demand interdependency, dynamic pricing, pricing research, reference price, retail strategy, revenue management

Martin Natter; Thomas Reutterer; Andreas Mild; Alfred Taudes

2007-07-01T23:59:59.000Z

398

Optimizing a multi-vendor multi-retailer vendor managed inventory problem: Two tuned meta-heuristic algorithms  

Science Conference Proceedings (OSTI)

The vendor-managed inventory (VMI) is a common policy in supply chain management (SCM) to reduce bullwhip effects. Although different applications of VMI have been proposed in the literature, the multi-vendor multi-retailer single-warehouse (MV-MR-SW) ... Keywords: Meta-heuristic, Multi-retailer, Multi-vendor, Taguchi method, Vendor managed inventory model

Javad Sadeghi, Seyed Mohsen Mousavi, Seyed Taghi Akhavan Niaki, Saeid Sadeghi

2013-09-01T23:59:59.000Z

399

Overcoming Visibility Issues in a Small-to-Medium Retailer Using Automatic Identification and Data Capture Technology: An Evolutionary Approach  

Science Conference Proceedings (OSTI)

In this paper, the authors the inventory control practices of a small-to-medium retailer to identify common challenges this type of organization experiences with respect to automated data capture ADC and the implementation of an enterprise wide information ... Keywords: Automatic Identification and Data Capture AIDC, Barcode, Business Process, Information Systems, Inventory Control, Radio-Frequency Identification RFID, Small-to-Medium Retailer

Dane Hamilton; Katina Michael; Samuel Fosso Wamba

2010-04-01T23:59:59.000Z

400

Total Crude by Pipeline  

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

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

Note: This page contains sample records for the topic "variables total retail" 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

ENERGY STAR Building Upgrade Manual Chapter 13: Retail Stores | ENERGY STAR  

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

3: Retail Stores 3: Retail Stores Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

402

DataTrends: Energy Use in Retail Stores | ENERGY STAR Buildings & Plants  

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

Retail Stores Retail Stores Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

403

ENERGY STAR Score for Retail Stores | ENERGY STAR Buildings & Plants  

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

Retail Stores Retail Stores Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

404

Relative efficiency benefits of wholesale and retail competition in electricity: An analysis and a research agenda  

SciTech Connect

A central issue in the debate over restructuring the electric power industry is the extent to which the market should be open to competition. One aspect of this debate is whether competition ought to be restricted to the whole sale power market or be extended to final retail consumers. This report begins to explore the potential differences in economic efficiency between wholesale and retail competition in the electric power industry. The two market-structure scenarios are defined and the factors responsible for differences in efficiency are described. The report also contains an assessment of the relative importance of the factors and recommendations for pursuing further research.

Bohi, D.R.; Palmer, K.L. [Resources for the Future, Inc., Washington, DC (United States)

1996-03-01T23:59:59.000Z

405

Department of Agricultural and Resource EconomicsAsymmetric Response of Retail Milk Prices in the Northeast Revisited.  

E-Print Network (OSTI)

Retail milk price responses to farm price changes were analyzed for Boston, Massachusetts, and Hartford, Connecticut. Prior research concluded asymmetries did not exist in the response of retail fluid milk prices to changes in farm prices. This study finds transmission rates were greater for the Compact period (100 – 120 percent) than the Pre-Compact period (66 – 88 percent). Short-run asymmetries were apparent. Retail prices responded rapidly to farm price increases, but slowly to farm price decreases. This study also finds evidence of long-run asymmetry. When equivalent farm price increases and decreases occur, retail prices do not return to the same levels that were observed before the price changes. Such long-run asymmetry was not observed in prior empirical studies of retail prices in the Northeast.

Daniel Lass; Daniel Lass

2005-01-01T23:59:59.000Z

406

Retail Price of No. 2 Fuel Oil to Residential Consumers  

U.S. Energy Information Administration (EIA)

(Dollars per Gallon Excluding Taxes) Data ... total No. 2 diesel fuel has been eliminated to help ensure that sensitive data reported to EIA by ...

407

Price of No. 2 Diesel Fuel Through Retail Outlets  

U.S. Energy Information Administration (EIA)

(Dollars per Gallon Excluding Taxes) Data ... total No. 2 diesel fuel has been eliminated to help ensure that sensitive data reported to EIA by ...

408

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

409

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

410

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

411

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

412

Profit sharing and firm performance in the manufacturer-retailer dual-channel supply chain  

Science Conference Proceedings (OSTI)

With the rapid development of e-commerce and the adoption of dual channels, increasingly manufacturers and retailers are implementing profit sharing strategies in order to improve channel coordination and supply chain performance. In this study, we focus ... Keywords: Channel coordination, Game theory, Online marketing, Profit bargaining, Profit sharing, Supply chain management

Ruiliang Yan

2008-09-01T23:59:59.000Z

413

A Large US Retailer Selects Transportation Carriers Under Diesel Price Uncertainty  

Science Conference Proceedings (OSTI)

A large US retailer that procures transportation services from third-party carriers experienced an unexpected jump in fuel surcharges as the price of diesel fuel skyrocketed in the summer of 2008. As a result, it sought to limit its future exposure to ... Keywords: price uncertainty, risk aversion, service contract, transportation

John Turner; Ben Peterson; Soo-Haeng Cho; Sunder Kekre; Alan Scheller-Wolf

2012-07-01T23:59:59.000Z

414

The role of vibrant retail electricity markets in assuring that wholesale power markets operate effectively  

SciTech Connect

Barriers to competitive supplier entry such as California's wholesale-price pass-through model can provide an almost insurmountable barrier to effective retail competition. The telecommunications, airline, and software industries provide lessons--positive and negative--on how creating competitive wholesale markets is insufficient to bring the benefits of competition to smaller consumers.

Goulding, A.J.; Rufin, C.; Swinand, G.

1999-12-01T23:59:59.000Z

415

Impact of Residential PV Adoption on Retail Electricity Desmond W. H. Caia,  

E-Print Network (OSTI)

, Newport Beach, CA 92660, USA. Abstract The price of electricity supplied from home rooftop photo voltaic (PV) solar cells has fallen below the retail price of grid electricity in some areas. A num- ber of residential households have an economic incentive to install rooftop PV systems and reduce their purchases

Low, Steven H.

416

BRENNAN --DSM UNDER COMPETITION: 1 Demand-Side Management Programs Under Retail  

E-Print Network (OSTI)

BRENNAN -- DSM UNDER COMPETITION: 1 Demand-Side Management Programs Under Retail Electricity · An automotive analogy Not marketing of fuel-efficient cars Not exactly CAFE standards or EPA mileage stickers More like getting a check from oil companies if one buys a high mileage car · Conservation

California at Berkeley. University of

417

THE ELECTRICITY RETAIL MARKET: REQUERIMENTS FOR AN E-BUSINESS SYSTEM  

E-Print Network (OSTI)

THE ELECTRICITY RETAIL MARKET: REQUERIMENTS FOR AN E-BUSINESS SYSTEM Victor Santos ISCAC to Client . Abstract: In the last decade the electric energy market as changed is structure in several countries, mainly in the most developed, ones where the regulated activity of electrical companies where

Monteiro, Edmundo

418

Coordination of Retail Demand Response with Midwest ISO Markets  

E-Print Network (OSTI)

MISO MP MRO MWDRI M&V NYISO PJM PUC RAP RFC RTO RTP SERC AirRTOs such as New England or PJM. In 2005 MISO became theEdison is a member of PJM). Interruptible (Total = 3398, N =

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

419

A Multi-Level Theory Approach to Understanding Price Rigidity in Internet Retailing  

E-Print Network (OSTI)

Price rigidity involves prices that do not change with the regularity predicted by standard economic theory, and is of long-standing interest to firms and industries, and our understanding of the economy as a whole. The previous IS literature has failed to identify the central role of IT and Internet retailing-related technologies to explain the rigidity of prices on the Internet. Instead, it has offered only limited explanations, such as menu costs and tacit collusion. These ideas, and quite a few other key theoretical perspectives were formulated in disciplines other than ours. Thus, the issue of price rigidity and price adjustment in Internet retailing should be given more scrutiny than the literature has provided to date. We review and synthesize what we know about price rigidity in non-electronic retailing contexts using a multi-level theory approach that identifies three unique levels of analysis: the firm-specific level, the firm-to-consumer level, and the firm-to-market level. We evaluate to what extent this knowledge is applicable to explain price-setting and price adjustment on the Internet. We conclude that there should not be less price rigidity in Internet retailing than in traditional retailing – even though the Internet is involved. To this end, we recommend a multi-level variance theory of Internet-based price rigidity. This study provides a foundation for the development of new theoretical perspectives at the crossroads of the academic disciplines of marketing, economics and IS. It encourages research that is able to probe for a deeper understanding of new economic phenomena associated with the digital economy’s growth.

Robert J. Kauffman; Dongwon Lee

2010-01-01T23:59:59.000Z

420

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

Note: This page contains sample records for the topic "variables total retail" 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

U.S. Total Exports  

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

TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Kenai, AK Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

422

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

423

Measured energy savings and demand reduction from a reflective roof membrane on a large retail store in Austin  

SciTech Connect

In this study, we measured and documented summertime air-conditioning (a/c) daily energy savings and demand reduction from a reflective roof membrane retrofit on a large retail store in Austin, Texas. The original black rubber membrane was replaced with white thermoplastic resulting in a decrease in the average maximum roof surface temperature from 168 degrees F (76 degrees C) to 126 degrees F (52 degrees C). This building, with 100,000ft2 (9300m2) of roof area, yielded 3.6Wh/ft2 (39Wh/m2) in a/c average daily energy savings and 0.35W/ft2 (3.8W/m2) in average reduced demand. Total a/c annual abated energy and demand expenditures were estimated to be $7200 or $0.072/ft2 ($0.77/m2). Based on cost data provided by the building manager, the payback is instantaneous with negligible incremental combined labor and material costs. The estimated present value of future abated expenditures ranged from $62,000 to $71,000 over the baseline 13-year service life of the roof membrane.

Konopacki, Steven J.; Akbari, Hashem

2001-06-25T23:59:59.000Z

424

Product design for supply chain : quantifying the costs of complexity in Hewlett-Packard's retail desktop PC business  

E-Print Network (OSTI)

Over the past several years, Hewlett-Packard Company's North America Consumer Computing (NACC) division has faced pressures to increase retail product variety in response to growing customer demand. As they pursue incremental ...

Raphel, Aaron Matthew

2005-01-01T23:59:59.000Z

425

The role of content regulation on pricing and market power in regional retail and wholesale gasoline markets  

E-Print Network (OSTI)

Since 1999, regional retail and wholesale gasoline markets in the United States have experienced significant price volatility, both intertemporally and across geographic markets. This paper focuses on one potential explanation ...

Muehlegger, Erich J.

2002-01-01T23:59:59.000Z

426

21 briefing pages total  

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

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

427

U.S. Sales to End Users, Total Refiner Motor Gasoline Sales Volumes  

Gasoline and Diesel Fuel Update (EIA)

Sales Type: Sales to End Users, Total Through Retail Outlets Sales for Resale, Total DTW Rack Bulk Sales Type: Sales to End Users, Total Through Retail Outlets Sales for Resale, Total DTW Rack Bulk 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 Motor Gasoline 28,179.6 24,384.0 24,143.9 23,567.1 24,120.5 23,282.9 1983-2013 by Grade Regular 23,757.8 20,526.5 20,356.1 19,806.6 20,240.9 19,586.1 1983-2013 Midgrade 1,876.1 1,545.0 1,534.8 1,527.0 1,561.5 1,484.7 1988-2013 Premium 2,545.7 2,312.4 2,252.9 2,233.5 2,318.1 2,212.1 1983-2013 by Formulation Conventional 16,716.2 14,277.3 13,878.1 13,588.6 14,053.9 13,516.9 1994-2013 Oxygenated - - - - - - 1994-2013

428

90.1 Prototype Building Models Stand Alone Retail | Building Energy Codes  

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

Stand Alone Retail Stand Alone Retail The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

429

Barge Truck Total  

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

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

430

Summary Max Total Units  

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

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

431

A Mixed Nordic Experience: Implementing Competitive Retail Electricity Markets for Household Customers  

Science Conference Proceedings (OSTI)

Although the Nordic countries were among the first to develop competition in the electricity industry, it took a long time to make retail competition work. In Norway and Sweden a considerable number of households are actively using the market but very few households are active in Finland and Denmark. One problem has been institutional barriers involving metering, limited unbundling of distribution and supply, and limited access to reliable information on contracts and prices. (author)

Olsen, Ole Jess; Johnsen, Tor Arnt; Lewis, Philip

2006-11-15T23:59:59.000Z

432

Solar Irradiance Variability  

E-Print Network (OSTI)

The Sun has long been considered a constant star, to the extent that its total irradiance was termed the solar constant. It required radiometers in space to detect the small variations in solar irradiance on timescales of the solar rotation and the solar cycle. A part of the difficulty is that there are no other constant natural daytime sources to which the Sun's brightness can be compared. The discovery of solar irradiance variability rekindled a long-running discussion on how strongly the Sun affects our climate. A non-negligible influence is suggested by correlation studies between solar variability and climate indicators. The mechanism for solar irradiance variations that fits the observations best is that magnetic features at the solar surface, i.e. sunspots, faculae and the magnetic network, are responsible for almost all variations (although on short timescales convection and p-mode oscillations also contribute). In spite of significant progress important questions are still open. Thus there is a debat...

Solanki, Sami K

2012-01-01T23:59:59.000Z

433

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan...

434

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network (OSTI)

2005a. Time- varying retail electricity prices: Theory andpractice. Electricity Deregulation: Choices and Challenges.efficiency of real-time electricity pricing. Energy Journal

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

435

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network (OSTI)

varying retail electricity prices: Theory and practice.GENERATION ON WHOLESALE ELECTRICITY PRICES IN CALIFORNIA:4.4.1 Lower wholesale electricity price cap and volumetric

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

436

Total Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

437

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

billion cubic feet per day) billion cubic feet per day) Total Marketed Production .............. 68.95 69.77 70.45 71.64 71.91 71.70 71.46 71.57 72.61 72.68 72.41 72.62 70.21 71.66 72.58 Alaska ......................................... 1.04 0.91 0.79 0.96 1.00 0.85 0.77 0.93 0.97 0.83 0.75 0.91 0.93 0.88 0.87 Federal GOM (a) ......................... 3.93 3.64 3.44 3.82 3.83 3.77 3.73 3.50 3.71 3.67 3.63 3.46 3.71 3.70 3.62 Lower 48 States (excl GOM) ...... 63.97 65.21 66.21 66.86 67.08 67.08 66.96 67.14 67.92 68.18 68.02 68.24 65.58 67.07 68.09 Total Dry Gas Production .............. 65.46 66.21 66.69 67.79 68.03 67.83 67.61 67.71 68.69 68.76 68.50 68.70 66.55 67.79 68.66 Gross Imports ................................ 8.48 7.60 7.80 7.95 8.27 7.59 7.96 7.91 7.89 7.17 7.61 7.73 7.96 7.93 7.60 Pipeline ........................................

438

Total Biofuels Consumption (2005 - 2009) Total annual biofuels...  

Open Energy Info (EERE)

Total Biofuels Consumption (2005 - 2009) Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions.      ...

439

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network (OSTI)

Like the Other: Residential Consumption Variability Phillipthe total annual energy consumption. The behavior patternsin total residential energy consumption per home, even when

Kelsven, Phillip

2013-01-01T23:59:59.000Z

440

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

Note: This page contains sample records for the topic "variables total retail" 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

Tracking Market Transitions: Key Trends in America's Electricity Markets: Retail Customers and Energy Competition  

Science Conference Proceedings (OSTI)

U.S. electricity markets have been transitioning in an uneven, but accelerating pace toward competition. Enough experience with competition exists by now to begin to draw from lessons learned. This report summarizes key trends observed in U.S. competitive energy markets to-date, and suggests several trends that are likely to emerge in the near future. Among some of the most important trends observed are the declining number of retail mass-market energy service providers, and the relative lack of differen...

1999-11-23T23:59:59.000Z

442

Assessing and Reducing Plug and Process Loads in Retail Buildings (Brochure)  

SciTech Connect

Plug and process loads (PPLs) in commercial buildings account for almost 5% of U.S. primary energy consumption. Minimizing these loads is a primary challenge in the design and operation of an energy-efficient building. PPLs are not related to general lighting, heating, ventilation, cooling, and water heating, and typically do not provide comfort to the occupants. They use an increasingly large fraction of the building energy use pie because the number and variety of electrical devices have increased along with building system efficiency. Reducing PPLs is difficult because energy efficiency opportunities and the equipment needed to address PPL energy use in retail spaces are poorly understood.

Not Available

2011-06-01T23:59:59.000Z

443

UK Retailers and Climate Change: The Role of Partnership in Climate Strategies  

E-Print Network (OSTI)

 includes all public sector and commercial organisations in Great  Britain and Northern Ireland that (i) have at least one half?hourly electricity meter settled on the  half?hourly market and (ii) consume more than 6,000 MWh of electricity per year (DEFRA,  2008c). In September 2009, the...  retailers and climate change: The role  of partnership in climate strategies1    Aoife Brophy Haney2  ESRC Electricity Policy Research Group and   Faculty of Economics, University of Cambridge    Ian Jones  Centre for Business Research,   University of Cambridge     Michael G. Pollitt  ESRC Electricity...

Brophy Haney, A; Jones, I W; Pollitt, Michael G.

444

The Implications of the New Rules of the Game for DR: Retail and Wires Companies  

Science Conference Proceedings (OSTI)

There are ongoing shifts in the distributed resources (DR) market that impact both the retail side of the equation and the application of DR to the distribution grid. This brief paper examines some of these recent shifts and attempt to interpret the reasons for these shifts and the implications that these shifts have for the near term future of DR technologies. This review focuses on three states that appear to be the leaders in the evolution of the role of DR technologies in the wires company: Californi...

2000-12-18T23:59:59.000Z

445

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

446

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

447

Demand Response and Variable Generation Integration Scoping Study  

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

Market and Policy Barriers for Demand Market and Policy Barriers for Demand Response Providing Ancillary Services in U.S. Electricity Markets Peter Cappers, Jason MacDonald, Charles Goldman April 2013 Report Summary 1 Energy Analysis Department  Electricity Markets and Policy Group Presentation Overview  Objectives and Approach  Wholesale and Retail Market Environments  Market and Policy Barrier Typology  Prototypical Regional Barrier Assessment 2 Energy Analysis Department  Electricity Markets and Policy Group A Role for Demand Response to Provide Ancillary Services  Increasing penetration of renewable energy generation in U.S. electricity markets means that bulk power system operators will need to manage the variable and uncertain nature of many renewable resources

448

Do Point of Sale RFID-Based Information Services Make a Difference? Analyzing Consumer Perceptions for Designing Smart Product Information Services in Retail Business  

Science Conference Proceedings (OSTI)

The increase in RFID implementation in retail allows the development of smart product information applications. However, literature describes only a few evaluations of RFID retail applications with real consumers. The question that arises is, whether ... Keywords: NFC, RFID, Ubiquitous computing, product information service, smart products, ubiquitous commerce

Florian Resatsch; Uwe Sandner; Jan Marco Leimeister; Helmut Krcmar

2008-08-01T23:59:59.000Z

449

BigHorn Home Improvement Center: Proof that a Retail Building Can Be a Low Energy Building: Preprint  

DOE Green Energy (OSTI)

The BigHorn Home Improvement Center in Silverthorne, Colorado was one of the first commercial buildings in the United States to integrate extensive high-performance design into a retail space. After monitoring and evaluation by NREL, the BigHorn Center was found to consume 54% less source energy and have 53% lower energy costs than typical retail buildings of similar size. The extensive use of daylighting to replace electric lighting reduced lighting energy requirements by 80% and significantly contributed to the reduced energy loads in the building.

Deru, M.; Torcellini, P.; Judkoff, R.

2004-07-01T23:59:59.000Z

450

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

451

Commercial applications of solar total energy systems. Volume 4. Appendices. Final report. [Solar Total Energy System Evaluation Program (STESEP) code  

DOE Green Energy (OSTI)

A methodology has been developed by Atomics International under contract to the Department of Energy to define the applicability of solar total energy systems (STES) to the commercial sector (e.g., retail stores, shopping centers, offices, etc.) in the United States. Candidate STES concepts were selected to provide on-site power generation capability, as well as thermal energy for both heating and cooling applications. Each concept was evaluated on the basis of its cost effectiveness (i.e., as compared to other concepts) and its ability to ultimately penetrate and capture a significant segment of this market, thereby resulting in a saving of fossil fuel resources. This volume contains the appendices. Topics include deterministic insolation model computer code; building energy usage data; computer simulation programs for building energy demand analysis; model buildings for STES evaluation; Solar Total Energy System Evaluation Program (STESEP) computer code; transient simulation of STES concept; solar data tape analysis; program listings and sample output for use with TRNSYS; transient simulation, and financial parameters sensitivities. (WHK)

Boobar, M.G.; McFarland, B.L.; Nalbandian, S.J.; Willcox, W.W.; French, E.P.; Smith, K.E.

1978-07-01T23:59:59.000Z

452

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

453

Buildings Energy Data Book: 3.7 Retail Markets and Companies  

Buildings Energy Data Book (EERE)

4 4 Advanced Energy Design Guide for Small Retail Buildings (1) Shell Percent Glass 0.4 Window (U-Factor 0.38-0.69 SHGC 0.40-0.44 Wall R-Value (2) 7.6-15.2 c.i. Roof R-Value Attic 30-60 Insulation Above Deck 15-25 c.i. Lighting Average Power Density (W/ft.^2) 1.3 System and Plant Heating Plant Gas Furnace(>225 kBtuh) 80% Combustion Efficiency Cooling Plant Air conditioner (>135-240 kBtuh) 10.8 EER/11.2 IPLV - 11.0 EER/11.5 IPLV Service Hot Water Gas Storage Water Heater (>75kBtuh) 90% Thermal Efficiency Note(s): Source(s): 1) Guide provides approximate parameters for constructing a building which is 30% more efficient than ASHRAE 90.1-1999. Ranges are due to climate zone dependencies. 2) Assumes a wall with heat content greaater than 7 Btu/ft^2. ASHRAE, Advanced Energy Design Guide for Small Retail Buildings, 2008

454

Investment Efficiency in Competitive Electricity Markets With and Without Time-Varying Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then study a number of policy interventions that have been proposed to address the perceived inadequacy of capacity investment. We show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. We demonstrate that the most common proposal, a subsidy to capacity ownership financed by a tax on retail electricity, is particularly problematic. An alternative approach to improving efficiency, increasing the share of customers on RTP, has some surprising effects. We show that such a change lowers the equilibrium price to flat rate customers

Severin Borenstein; Stephen P. Holland

2003-01-01T23:59:59.000Z

455

An Assessment of the Relationship Between Marketing, Information and Strategy Formulation in the UK Retail Banking Sector  

Science Conference Proceedings (OSTI)

In the expanding retail banking sector of the 1990s, companies have to become increasingly customer-focused. Due to intense competition and the rapidity of change in the external environment, strategic planning in the industry has had to focus more directly ...

J Broady-Preston; Te Hayward

1998-08-01T23:59:59.000Z

456

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

In this thesis I study combinatorial aspects of an emerging field known as total positivity. The classical theory of total positivity concerns matrices in which all minors are nonnegative. While this theory was pioneered ...

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

457

Total correlations and mutual information  

E-Print Network (OSTI)

In quantum information theory it is generally accepted that quantum mutual information is an information-theoretic measure of total correlations of a bipartite quantum state. We argue that there exist quantum states for which quantum mutual information cannot be considered as a measure of total correlations. Moreover, for these states we propose a different way of quantifying total correlations.

Zbigniew Walczak

2008-06-30T23:59:59.000Z

458

VARIABLE TIME DELAY MEANS  

DOE Patents (OSTI)

An electrically variable time delay line is described which may be readily controlled simuitaneously with variable impedance matching means coupied thereto such that reflections are prevented. Broadly, the delay line includes a signal winding about a magnetic core whose permeability is electrically variable. Inasmuch as the inductance of the line varies directly with the permeability, the time delay and characteristic impedance of the line both vary as the square root of the permeability. Consequently, impedance matching means may be varied similariy and simultaneously w:th the electrically variable permeability to match the line impedance over the entire range of time delay whereby reflections are prevented.

Clemensen, R.E.

1959-11-01T23:59:59.000Z

459

Total....................................................................................  

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

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

460

Total...................................................................  

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

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

Note: This page contains sample records for the topic "variables total retail" 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

Total...............................................................  

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

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

462

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

463

Total...............................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

464

Total...............................................................  

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

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

465

Total................................................................  

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

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

466

Total...........................................................  

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

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

467

Total........................................................................  

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

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

468

Total...........................................................................  

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

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

469

Total.......................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

470

Total....................................................................................  

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

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

471

Total........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

472

Total........................................................................  

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

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

473

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

474

Total...............................................................  

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

475

Total........................................................  

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

476

Total...............................................................  

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

477

Total.................................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

478

Total..................................................................  

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

479

Total..............................................  

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

480

Total.................................................................................  

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

Note: This page contains sample records for the topic "variables total retail" 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

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

482

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

483

Total..................................................................  

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

484

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

485

Total........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

486

Total..............................................................  

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

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

487

Total.................................................................  

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

488

Total........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

489

Total........................................................................  

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

490

Total...........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

491

Total...........................................................  

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

492

Total....................................................................................  

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

493

Total..............................................................  

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

494

Total.........................................................................................  

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

495

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

496

Total..............................................................................  

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

497

Total....................................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

498

Total....................................................................................  

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

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

499

Total....................................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

500

Total..................................................................  

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

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................