Sample records for type mercantile retail

  1. Archive Reference Buildings by Building Type: Stand-alone retail

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  2. Mercantile (Retail Other Than Mall) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville, Ohio:Menomonee Falls, Wisconsin: Energy ResourcesMentarixEnclosed and

  3. Residential property values and neighborhood retail : a comparison of pedestrian and automobile oriented retail clusters

    E-Print Network [OSTI]

    Tiffany, Thacher

    2006-01-01T23:59:59.000Z

    This study tests the hypothesis that home buyers pay a premium to live within walking distance of pedestrian accessible retail. To answer this question two types of retail clusters are identified in the Boston metropolitan ...

  4. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

    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

  5. Retail Electricity Competition

    E-Print Network [OSTI]

    Joskow, Paul; Tirole, Jean

    2004-01-01T23:59:59.000Z

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

  6. 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

  7. RECONCILIATION OF RETAILER CLAIMS, COMMISSIONREPORT

    E-Print Network [OSTI]

    ." All retail providers of electricity must disclose fuel source information to consumers about's default product. #12;- 2 - The law also requires all electricity generators who report meter data to a system operator to also report generation (in kWh), generator technology, and fuel type consumed (as

  8. Effects of breed type and feeding regimen on goat composition, retail shelf-life, sensory and chemical characteristics

    E-Print Network [OSTI]

    Oman, Jessica Spurling

    1995-01-01T23:59:59.000Z

    not more productive. The predominant fiber-type breed in the U. S. is Angora. Because selection is based primarily on fiber quantity and quality, very little emphasis has been placed on meat-type traits. In the fall of 1993, Public Law 103... of the shoulder). A score for marbling, flank sneaking, maturity, color, and buckiness (based on a 5-point scale where 1 = no buckiness and 5 = extremely bucky) also was assigned by Texas Agricultural Experiment Station personnel to each carcass. Because...

  9. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    RETAIL PRICES CONTENTS Page Tuna, Canned White Meat Tuna. (Albacore), Solid Pack, In Oil All BrandsCANNED FISH RETAIL PRICES UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE SERVICE BUREAU PRICES APRIL 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market Development FISHERY

  10. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    PRICES CONTENTS Page Tuna, Canned White Meat Tuna (Albacore), Solid Pack, In Oil All Brands ExceptCANNED FISH RETAIL PRICES JUNE ll959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDUFE, Commissioner CANNED FISH RETAIL PRICES JUNE 1959 Prepared in the Bureau of Commercial Fisheries Branch

  11. Retail electricity competition

    E-Print Network [OSTI]

    Joskow, Paul L.

    2004-01-01T23:59:59.000Z

    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, ...

  12. Consumer Attitudes and Handling Practices of Retailers for Lamb, Mutton and Goat.

    E-Print Network [OSTI]

    Stelly, Randall

    1959-01-01T23:59:59.000Z

    with respect to carcass and wholesale cuts and grade and weight of cuts, (4) seasonality of sales and (5) promotion policies and practices in selling lamh, mutton and goat meat. Types of Retail Stores Retail meat stores included in this stud! were... About 50 percent of the independent meat retailers and 2 out of 3 retailers in chain stores stated that they purchase wholesale cuts of lamb. Wholesale cuts purchased most often by inde- pendent retailers are leg, rack or rib chops and shank of lamb...

  13. Mercantile Buildings

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0Feet)Year JanYear Jan

  14. CALiPER Retail Lamps Study 3

    SciTech Connect (OSTI)

    Royer, Michael P.; Beeson, Tracy A.

    2014-02-01T23:59:59.000Z

    The CALiPER program first began investigating LED lamps sold at retail stores in 2010, purchasing 33 products from eight retailers and covering six product categories. The findings revealed a fragmented marketplace, with large disparities in performance of different products, accuracy of manufacturer claims, and offerings from different retail outlets. Although there were some good products, looking back many would not be considered viable competitors to other available options, with too little lumen output, not high enough efficacy, or poor color quality. CALiPER took another look in late 2011purchasing 38 products of five different types from nine retailers and the improvement was marked. Performance was up; retailer claims were more accurate; and the price per lumen and price per unit efficacy were down, although the price per product had not changed much. Nonetheless, there was still plenty of room for improvement, with the performance of LED lamps not yet reaching that of well-established classes of conventional lamps (e.g., 75 W incandescent A19 lamps). Since the second retail lamp study was published in early 2012, there has been substantial progress in all aspects of LED lamps available from retailers. To document this progress, CALiPER again purchased a sample of lamps from retail stores 46 products in total, focusing on A19, PAR30, and MR16 lamps but instead of a random sample, sought to select products to answer specific hypotheses about performance. These hypotheses focused on expanding ranges of LED equivalency, the accuracy of lifetime claims, efficacy and price trends, as well as changes to product designs. Among other results, key findings include: There are now very good LED options to compete with 60 W, 75 W, and 100 W incandescent A19 lamps, and 75 W halogen PAR30 lamps. MR16 lamps have shown less progress, but there are now acceptable alternatives to 35 W, 12 V halogen MR16 lamps and 50 W, 120 V halogen MR16 lamps for some applications. Other uses, such as in enclosed luminaires, may require more development. At the same price point, lamps purchased in 2013 tended to have higher output and slightly higher efficacy than in 2011 or 2010. Over 30% of the products purchased in 2013 exceeded the maximum efficacy measured in 2011 (71 lm/W), with the most efficacious product measured at 105 lm/W. There appears to be increasing consistency in color quality, with a vast majority of products having a CCT of 2700 K or 3000 K and a CRI between 80 and 85. There were also fewer poor performing products tested and more high-performing products available in 2013 than in previous years. The accuracy of equivalency and performance claims was better than in 2011, but remains a concern, with 43% of tested products failing to completely meet their equivalency claim and 20% of products failing to match the manufacturer’s performance data. Although progress has been substantial, on average LED lamps remain more expensive than other energy efficiency lighting technologies -- although some aspects can be superior. Although not universal to all product lines or all product types, the issue of insufficient lumen output from LED lamps is waning. Thus, manufacturers can focus on other issues, such as reducing cost, improving electrical/dimmer compatibility, eliminating flicker, or improving color quality. While these issues are not inherent to all products, they remain a concern for the broader market.

  15. Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Johnson. “Gas Wars: Retail Gasoline Price Fluctua- tions”,Canadian cities, retail gasoline prices are very volatileset of twelve-hourly retail gasoline prices for 22 service

  16. Retail Policies and Competition in the Gasoline Industry

    E-Print Network [OSTI]

    Borenstein, Severin; Bushnell, Jim

    2005-01-01T23:59:59.000Z

    wholesale gasoline prices and retail prices. It includes theTable 4 - Gasoline Price Components Year Retail Price TaxesSupply Lower Retail Gasoline Prices? ” Contemporary Economic

  17. Reconciliation of Retailer Claims, 2005 CommissionReport

    E-Print Network [OSTI]

    used to provide electric services." All retail providers of electricity must disclose fuel source's default product. The law also requires all electricity generators who report meter data to a system operator to also report generation (in kilowatt-hours), generator technology, and fuel type consumed (as

  18. Contractual form, retail price and asset characteristics

    E-Print Network [OSTI]

    Shepard, Andrea

    1991-01-01T23:59:59.000Z

    Predictions derived from a principal-agent analysis of the manufacturer-retailer relationship are derived and tested using microdata on contractual form, outlet characteristics and retail prices for gasoline stations in ...

  19. CSEM WP 130 Retail Electricity Competition*

    E-Print Network [OSTI]

    California at Berkeley. University of

    aspects of retail electricity competition. We first explore the implications of load profiling optimal given load-profiling and retail competition. Fi- nally, we consider the effects of physical consumers are homogeneous up to a scaling factor. In general, the combination of retail competition and load

  20. Setting a retail generation credit

    SciTech Connect (OSTI)

    Jacobs, J.M.

    1999-05-01T23:59:59.000Z

    While the additional cost components will vary depending on the way that the wholesale energy component is calculated, at minimum a generation credit should recognize the following costs: Additional value of shaping or load-following; Premia associated with the risks of serving retail load; Transmission costs incurred by competitive suppliers; Commercial costs; and Reasonable profits. In this article the author reviews the construction of a generation credit, starting with three different ways to compute the wholesale cost of electric energy--as a forecast, as a forward price, or from the spot market--and then moving to consideration of additional cost items. Throughout the authors attempts to estimate the costs an efficient competitor will incur in order to illustrate the difference between a retail generation credit and a wholesale price index.

  1. Vertical relationships between manufacturers and retailers: inference with limited data

    E-Print Network [OSTI]

    Villas-Boas, Sofia B.

    2006-01-01T23:59:59.000Z

    square-foot-price IL Retail rental IL Gasoline IL Gasolinesquare-foot-price IL Retail rental IL Gasoline IL Gasolineprices and retail wages also look reasonable for some states; in general, increases in gasoline

  2. Vertical relationships between manufacturers and retailers: inference with limited data

    E-Print Network [OSTI]

    Villas-Boas, Sofia B.

    2007-01-01T23:59:59.000Z

    square-foot-price IL Retail rental IL Gasoline IL Gasolinesquare-foot-price IL Retail rental IL Gasoline IL Gasolineprices and retail wages also look reasonable for some states; in general, increases in gasoline

  3. An assessment of the value of retail ready packaging

    E-Print Network [OSTI]

    Jackson, Kathleen Anne

    2008-01-01T23:59:59.000Z

    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 ...

  4. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

    Commission (FERC) 2008a. “Wholesale Competition in RegionsDemand Response into Wholesale Electricity Markets,” (URL:1 2. Wholesale and Retails Electricity Markets in

  5. REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS...

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

    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...

  6. Integrated Retail & Wholesale Power System Operation

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail & Wholesale Power System Operation with Smart-Grid Functionality PIs: Dionysios Retail/Wholesale Power System Operation with Smart-Grid Functionality Project PIs: Dionysios Aliprantis (open-source release): AMES Wholesale Power Market Testbed (ISU) + GridLAB-D distribution platform (DOE

  7. prescription drug program highlights retail pharmacy prescriptions

    E-Print Network [OSTI]

    Scharer, John E.

    prescription drug program highlights SHIP retail pharmacy prescriptions The informedRx retail interactions and duplicate therapies. Brand name and generic drugs are included in your pharmacy benefit, but you will save the most money by selecting generic drug options when available. On myinformedRx.com you

  8. Retail Sales Allocation Tool (RSAT)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-Ray Scattering of0OctoberRetail Sales

  9. Killing Two Birds with One Stone: Can Real-Time Pricing SupportRetail Competition and Demand Response?

    SciTech Connect (OSTI)

    Barbose, Galen; Bharvirkar, Ranjit; Goldman, Charles; Hopper,Nicole; Neenan, Bernie

    2006-04-25T23:59:59.000Z

    As retail choice states reach the end of their transitional, rate-cap periods, state regulators must decide what type of default supply service to provide to customers that have not switched to a competitive retail supplier. In a growing number of states, regulators have adopted real-time pricing (RTP) as the default service for large commercial and industrial (C&I) customers. Although this trend is driven chiefly by policy objectives related to retail competition, default service RTP may have the added benefit of stimulating demand response. To evaluate the potential role of RTP as a means to both ends--retail market development and demand response--we conducted a comprehensive review of experience with default RTP in the U.S. and examined the emergence of RTP as a product offering by competitive retail suppliers. Across the ten utilities with default RTP in place in 2005, between 5% and 35% of the applicable load remained on the rate. Based on interviews with competitive retailers, we find evidence to suggest that a comparable amount of load in these states has switched to hourly pricing arrangements with competitive retailers. Many customers on default or competitive hourly pricing are paying prices indexed to the real-time spot market, and thus have no advance knowledge of prices. Because the price responsiveness of customers under these conditions has yet to be formally analyzed, and relatively few efforts have been undertaken to help these customers become price responsive, the actual demand response impacts from hourly pricing in retail choice states remains largely an open question. However, we find that policymakers and other stakeholders in retail choice states have various strategies at their disposal to capture the potential demand response benefits from hourly pricing, while simultaneously supporting retail competition.

  10. Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market

    E-Print Network [OSTI]

    Lewis, Matt

    2003-01-01T23:59:59.000Z

    The Behavior of Retail Gasoline Prices: Symmetric or Not? ”Adjustment of U.K. Retail Gasoline Prices to Cost Changes. ”documented that retail gasoline prices respond more quickly

  11. Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Industry

    E-Print Network [OSTI]

    Lewis, Matt

    2003-01-01T23:59:59.000Z

    Adjustment of U.K. Retail Gasoline Prices to Cost Changes. ”The Behavior of Retail Gasoline Prices: Symmetric or Not? ”documented that retail gasoline prices respond more quickly

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Johnson. “Gas Wars: Retail Gasoline Price Fluctua- tions”,were collected on retail gasoline prices, wholesale (rack)ancillary information. Retail gasoline prices, RET AIL mt ,

  13. Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market

    E-Print Network [OSTI]

    Lewis, Matt

    2004-01-01T23:59:59.000Z

    George. (2004) “Retail Gasoline Price Dynamics and Localof Information and Retail Gasoline Price Behavior: Andocumented that retail gasoline prices respond more quickly

  14. Segmentation strategies for managing retail supply chains

    E-Print Network [OSTI]

    Liang, Catherine G. (Catherine Gloria)

    2011-01-01T23:59:59.000Z

    High-technology manufacturing companies often face rapid price decline and capacity constraints. Especially in the retail side of the business where the supply chain is much longer and revenue is sometimes not recognized ...

  15. Edgeworth price cycles in retail gasoline markets

    E-Print Network [OSTI]

    Noel, Michael David, 1971-

    2002-01-01T23:59:59.000Z

    In this dissertation, I present three essays that are motivated by the interesting and dynamic price-setting behavior of firms in Canadian retail gasoline markets. In the first essay, I examine behavior at the market level ...

  16. STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

  17. The LBNL Water Heater Retail Price Database

    E-Print Network [OSTI]

    Lekov, Alex; Glover, Julie; Lutz, Jim

    2000-01-01T23:59:59.000Z

    Olson, and Stuart Chaitkin (LBNL). We also want to thank ourand Mithra Moezzi, also of LBNL. This work was supported byLBNL – 44749 The LBNL Water Heater Retail Price Database

  18. 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]

    Fagan, Kevin William

    2011-01-01T23:59:59.000Z

    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, ...

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

    E-Print Network [OSTI]

    Corts, Kenneth S.

    2009-01-01T23:59:59.000Z

    average county retail gasoline prices in May 2009, denotedor retail gas price, to affect margins on gasoline, which

  20. Inventory planning for low demand items in online retailing

    E-Print Network [OSTI]

    Chhaochhria, Pallav

    2007-01-01T23:59:59.000Z

    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 ...

  1. Communicating the value of veal to retail and food service

    E-Print Network [OSTI]

    McNeill, Michael Scott

    1997-01-01T23:59:59.000Z

    and associated components by trained meat cutters. Each style selected (n = 6) was used to generate mean retail yields and labor requirements, which were calculated from wholesale and retail weights (kg) and processing times (s) . Means and standard errors...

  2. A Model of Vertical Restriction and Equilibrium in Retailing

    E-Print Network [OSTI]

    Bittlingmayer, George

    1983-10-01T23:59:59.000Z

    This model of distribution provides a rationale for restrictions placed on retailers by manufacturers. The manufacturer's customers are located uniformly along a road, and retailing operations are subject to increasing ...

  3. Composition of carcasses and retail cuts from lightweight heifers

    E-Print Network [OSTI]

    Guzman Mirabal, Luis Alejandro

    1986-01-01T23:59:59.000Z

    Committee: Dr. H. R. cross Dr. J, W, Savell Twenty-nine sides from lightweight heifer carcasses, ranging from 113 to 250 kg, were fabricated into wholesale and retail cuts using standardized procedures. Retail cuts were trimmed to either zero or 0. 64... were below the ten percent fat level. Retail cut yields from the chuck, rib, loin and round for both trim levels were considerably lower than those reported in other studies. Retail cut yield from the four major wholesale cuts increased...

  4. Retailer-Wholesaler Response to State-Sponsored Marketing

    E-Print Network [OSTI]

    Neimark, Alexander V.

    Retailer-Wholesaler Response to State-Sponsored Marketing Programs: The Case of Jersey Fresh Ramu #12;Retailer-Wholesaler Response to State-Sponsored Marketing Programs: The Case of Jersey Fresh Ramu is expressed to each and every participant of the retailer and wholesaler focus group meeting and mail survey

  5. Mergers in the GB Electricity Market: effects on Retail Charges

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Mergers in the GB Electricity Market: effects on Retail Charges N° 2006-08 Mai 2006 Evens SALIES OFCE hal-00972962,version1-3Apr2014 #12;Mergers in the GB Electricity Market: effects on Retail Charges-efficiency as variables relating to price and profitability. The retail electricity market is a case in point, as high

  6. Dominion Retail Inc (Ohio) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion RetailDominion Retail

  7. April 21, 2006 To all retail providers

    E-Print Network [OSTI]

    & waste 0.0% -Geothermal 4.0% -Small hydroelectric 0.7% -Solar 0.0% -Wind 0.0% Coal 38.5% Large calculates Net System Power by taking all of the generation consumed by customers in California, which we have termed "Gross System Power," and then subtracting self-generation and retail providers' specific

  8. April 16, 2007 To all retail providers

    E-Print Network [OSTI]

    & waste 0.3% -Geothermal 4.2% -Small hydroelectric 0.3% -Solar 0.0% -Wind 0.3% Coal 28.6% Large System Power by taking all of the generation consumed by customers in California, which we have termed "Gross System Power," and then subtracting self-generation and retail providers' specific claims

  9. April 15, 2005 To all retail providers

    E-Print Network [OSTI]

    hydroelectric 1.1% -Solar 0.0% -Wind 0.2% Coal 28.9% Large hydroelectric 20.1% Natural gas 45.0% Nuclear 1 Net System Power by taking all of the generation consumed by customers in California, which we have termed "Gross System Power," and then subtracting self-generation and retail providers' specific claims

  10. Retail competition in the UK electricity sector

    E-Print Network [OSTI]

    Rudnick, Hugh

    residential · about 50% of total demand · used to phase in competition for coal industry · useful experience) · Initial concern about vertical integration: · between networks and activities across networks · fear-through, for 2 yrs · with 9% price reduction: end of coal protection cost · So retail competition means benefits

  11. February 8, 2002 Dear: Retail Provider

    E-Print Network [OSTI]

    dates: Report/Filing Due Date 2001 Annual Retail Providers Report (to Energy Commission) March 1, 2002 2001 Annual Power Content Label (to Customers)i April 15, 2002 Independent Audit/Verification of 2001 Annual Power Content Label and Annual Report (to Energy Commission) June 1, 2002 As someone involved

  12. February 10, 2003 Dear Retail Provider

    E-Print Network [OSTI]

    that purchase electricity from a power pool that submits an Annual Report to the Energy Commission may provideFebruary 10, 2003 Dear Retail Provider: Subject: Power Source Disclosure and Customer Credit on the mailing lists for the Power Source Disclosure Program and the Customer Credit Program. As someone involved

  13. August 13, 2001 To Retail Providers

    E-Print Network [OSTI]

    ://www.energy.ca.gov/regulations/retail_disclosure.html#retaildisclosure>. Sample power content labels for the "no specific purchase case" (default) and the "50% specific purchase Disclosure Regulations (SB 1305, Power Source Disclosure Program) In March of this year, the Energy Providers for providing customers with a quarterly power content label and additionally, in some cases

  14. Retail Lighting: Title 24 & Technology Update

    E-Print Network [OSTI]

    California at Davis, University of

    Retail Lighting: Title 24 & Technology Update Kelly Cunningham Outreach Director kcunning@ucdavis.edu California Lighting Technology Center, UC Davis RESEARCH . INNOVATION . PARTNERSHIP Supporting compliance Lighting: Title 24 and Technology Update C00005 Kelly Cunningham April 24,2014 #12;Credit(s) earned

  15. Policy Issues for Retail Beamed Power Transmission

    E-Print Network [OSTI]

    solar electric power using retail delivery of beamed power. Recent advances in power beaming have made to enable widespread adoption of this clean and sustainable contribution to meeting energy needs. It is seen to micro-renewable energy resource exploitation since wired power transmission is only cost effective over

  16. Vertical Relationships and Competition in Retail Gasoline Markets: An Empirical Evidence from Contract Changes in Southern California

    E-Print Network [OSTI]

    Hastings, Justine

    2000-01-01T23:59:59.000Z

    The Behavior of Retail Gasoline Prices: Symmetric or Not? ”vertical contracts and retail gasoline prices. The thirdthe differences in retail gasoline prices between markets is

  17. The modern day discount house as a separate retail establishment

    E-Print Network [OSTI]

    Broussard, Carroll James

    1964-01-01T23:59:59.000Z

    the economic bases for the . uccess of discount houses relative to other retail operations; 3, to determine the effect, if any, of dis- count house retailing on the historic channels of distribution; 4. to determine and predict the future of discount..., wholesale and retail, provided ad- ded incentives to move more goods, but still there were surpluses, It was now relatively easy for additional stores, such as discount houses, to obtain merchandise which they could sell at low prices because of their un...

  18. An Analysis of the Retail and Lifecycle Cost of Battery-Powered Electric Vehicles

    E-Print Network [OSTI]

    Delucchi, Mark; Lipman, Timothy

    2001-01-01T23:59:59.000Z

    on the retail cost and break-even gasoline price, becauseof the retail cost and the break-even gasoline price, foreven gasoline prices at least double, and initial retail

  19. To Own or Lease Solar: Understanding Commercial Retailers Decisions...

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

    among financing methods for businesses installing onsite photovoltaics (PV). We present case studies of PV financing strategies used by two large commercial retailers that have...

  20. Coordination of Retail Demand Response with Midwest ISO Markets

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2008-01-01T23:59:59.000Z

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

  1. Retail Building Guide for Entrance Energy Efficiency Measures

    SciTech Connect (OSTI)

    Stein, J.; Kung, F.

    2012-03-01T23:59:59.000Z

    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.

  2. Packaging and fabrication systems for extending storage life and subsequent retail caselife of pork

    E-Print Network [OSTI]

    Rape, Steven Wayne

    1973-01-01T23:59:59.000Z

    These chops were changes were (1973) further reported that bacterial counts (log ) from cuts stored in poly- vinyl chloride film were 100 to 1, 000 fold higher than those from vacuum packaged cuts. Ashby and James (1973 b) compared the effects of certain... was created by use of a stationary nozzle type vacuum n&n- Table l. Experimental design for comparisons of packaging systems for fresh pork cuts Packaging treatment Cut Number of samples Storage temperature (' C) Storage intervals (days) Retail...

  3. Table 14. U.S. Propane (Consumer Grade) Prices by Sales Type

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

    and EIA-782B, "Resellers'Retailers' Monthly Petroleum Product Sales Report." 14. U.S. Propane (Consumer Grade) Prices by Sales Type 28 Energy Information Administration ...

  4. Sensitivity analysis of the optimal solutions to Huff-type competitive ...

    E-Print Network [OSTI]

    2008-11-26T23:59:59.000Z

    facilities and the distances to them, through a gravitational or logit type model. Both the ..... This generalizes the 'law of retail gravitation' of Reilly [33], who.

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

    SciTech Connect (OSTI)

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

    2012-04-01T23:59:59.000Z

    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.

  6. Fact #858 February 2, 2015 Retail Gasoline Prices in 2014 Experienced...

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

    8 February 2, 2015 Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008 Fact 858 February 2, 2015 Retail Gasoline Prices in 2014 Experienced the Largest...

  7. Retail: EPRI/IES award

    SciTech Connect (OSTI)

    Kruger, M.

    1996-01-01T23:59:59.000Z

    Kruger Designs Light does many different types of projects for a diverse clientele. Each of these projects, while having some general characteristics in common, seem also to have a specific set of criteria in mind-some as specific as the client is unique. While there are some chains where lighting decisions are made to be applied in hundreds of facilities, there are other types of clients that bring a different sensibility to the process. As lighting designers, it is the job of Designs Light to address the individual needs of each client, even the {open_quotes}strange{close_quotes} and {open_quotes}different,{close_quotes} as was the case with {open_quotes}Boogie`s Diner.{close_quotes} This author goes on to describe the project presented by Boogie`s Diner, the demands of the site with respect for lighting as regards the clinetele being served, and the expectations of the owners. The design considerations are discussed, and finally the proposed solutions are breifly outlined. This design effort won the EPRI/IES award, and was an energy efficient design sought by the owner.

  8. Vertical Relationships and Competition in Retail Gasoline Markets

    E-Print Network [OSTI]

    California at Berkeley. University of

    , if any, of the differences in retail gasoline prices between markets is attributable to differences substantially higher retail gasoline prices than other regions of the country. For example, for the first week of August 1999, the price of reformulated gasoline in California was 39.6 cents higher than the average

  9. 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 1997 FORE08.DOC Page 1 CALIFORNIA ENERGY COMMISSION ELECTRICITY ANALYSIS OFFICE REVISED 1997 RETAIL ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

  10. Notes2Providers.doc -1-Notes to Retail Providers

    E-Print Network [OSTI]

    providers that purchase electricity from a power pool that submits an Annual Report to the Energy CommissionNotes2Providers.doc -1- Notes to Retail Providers February 2003 Power Source Disclosure an energy mix or fuel mix different than the California Mix, (Net System Power)i . As a retail provider you

  11. Advanced Energy Retrofit Guide Retail Buildings

    SciTech Connect (OSTI)

    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

    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.

  12. Marketing of Retail Signage in Different Environments

    E-Print Network [OSTI]

    Le, Mai

    2012-04-26T23:59:59.000Z

    will be found at locations with higher quality architecture, which contributes to the overall atmosphere of a nicer area. On the other end of the spectrum, a small town like Tomball does not have luxury brands, simply because of the different target market...://www.cstx.gov/Modules/ShowDocument. aspx?documentid=5723 Code of Ordinances. (2006, December 06). Retrieved from http://library.municode.com/ index. aspx?clientId=11633 Davis, B. and Ward P. (2002). Managing Retail Consumption. Great Britain: John Wiley & Sons Ltd. Ewald, W...

  13. Dominion Retail Inc (Connecticut) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion Retail Inc (Connecticut)

  14. Dominion Retail Inc (Maine) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion Retail Inc

  15. Dominion Retail Inc (Maryland) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion Retail IncMaryland) Jump

  16. Dominion Retail Inc (Massachusetts) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion Retail IncMaryland)

  17. Dominion Retail Inc (Pennsylvania) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion RetailDominion

  18. Dominion Retail Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion RetailDominionDominion

  19. Texas Retail Energy, LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheasternInformation TengchongTex-La ElectricTexas Retail

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-Ray Scattering of0October 17,Results84 2.870

  1. Retail Infrastructure Costs Comparison for Hydrogen and Electricity for Light-Duty Vehicles: Preprint

    SciTech Connect (OSTI)

    Melaina, M.; Sun, Y.; Bush, B.

    2014-08-01T23:59:59.000Z

    Both hydrogen and plug-in electric vehicles offer significant social benefits to enhance energy security and reduce criteria and greenhouse gas emissions from the transportation sector. However, the rollout of electric vehicle supply equipment (EVSE) and hydrogen retail stations (HRS) requires substantial investments with high risks due to many uncertainties. We compare retail infrastructure costs on a common basis - cost per mile, assuming fueling service to 10% of all light-duty vehicles in a typical 1.5 million person city in 2025. Our analysis considers three HRS sizes, four distinct types of EVSE and two distinct EVSE scenarios. EVSE station costs, including equipment and installation, are assumed to be 15% less than today's costs. We find that levelized retail capital costs per mile are essentially indistinguishable given the uncertainty and variability around input assumptions. Total fuel costs per mile for battery electric vehicle (BEV) and plug-in hybrid vehicle (PHEV) are, respectively, 21% lower and 13% lower than that for hydrogen fuel cell electric vehicle (FCEV) under the home-dominant scenario. Including fuel economies and vehicle costs makes FCEVs and BEVs comparable in terms of costs per mile, and PHEVs are about 10% less than FCEVs and BEVs. To account for geographic variability in energy prices and hydrogen delivery costs, we use the Scenario Evaluation, Regionalization and Analysis (SERA) model and confirm the aforementioned estimate of cost per mile, nationally averaged, but see a 15% variability in regional costs of FCEVs and a 5% variability in regional costs for BEVs.

  2. DOE Publishes Special CALiPER Report on Retail Lamps

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's CALiPER program has released a special report on LED lamps available through the retail marketplace and targeted toward general consumers. The report follows similar...

  3. Inventory optimization in a retail multi-echelon environment

    E-Print Network [OSTI]

    Arkaresvimun, Rintiya

    2008-01-01T23:59:59.000Z

    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, ...

  4. Who stocks the shelf? : an analysis of retail replenishment strategies

    E-Print Network [OSTI]

    Kuai, Jiaqi

    2007-01-01T23:59:59.000Z

    The objective of this thesis is to analyze the trade-offs of two retail replenishment strategies, DSD (Direct Store Delivery) model and Traditional model. Conceptual and cost models are set up to analyze the trade-offs, ...

  5. Demand allocation strategies in the seasonal retail industry

    E-Print Network [OSTI]

    Chan, Carin H

    2007-01-01T23:59:59.000Z

    Amazon.com is a publicly-held company headquartered in Seattle, Washington. It revolutionized the retail industry by being one of the first major companies to sell goods over the Internet. It is an international company ...

  6. Improving promotional effectiveness through supplier-retailer collaboration

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    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 ...

  7. Trends in demand for retail and wholesale cuts of meat

    E-Print Network [OSTI]

    Holloway, David Wayne

    1990-01-01T23:59:59.000Z

    TRENDS IN DEMAND FOR RETAIL AND WHOLESALE CUTS OF MEAT A Thesis by DAVID WAYNE HOLLOWAY Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... December 1990 Major Subject: Agricultural Economics TRENDS IN DEMAND FOR RETAIL AND WHOLESALE CUTS OF MEAT A Thesis by DAVID WAYNE HOLLOWAY Approved as to style and content by: Donald E. Farris (Chair of Committee) Carl E. Shafer (Member) Rudo J...

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

    SciTech Connect (OSTI)

    Not Available

    2013-04-01T23:59:59.000Z

    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.

  9. The efficiency of wholesale vs. retail competition in electricity

    SciTech Connect (OSTI)

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

    1996-10-01T23:59:59.000Z

    If markets are sufficiently competitive, the retail model of restructuring is likely to produce a greater array of products and services and lower electricity prices, but the wholesale model may yield lower transaction costs and better encourage transmission investment. Which model is best? The answer is not known yet. A central issue in the debate over restructuring the electric power industry is the extent to which the market should be opened to competition. One aspect of this debate is whether competition ought to be restricted to the wholesale power market or extended all the way to retail customers. Some state regulators have recommended retail competition, while others, including the U.S. Department of Energy, prefer to limit competition to the wholesale level, at least until experience warrants taking the additional step. The purpose of this paper is to describe some of the potential differences in economic efficiency that could arise between the wholesale and retail competition models. The comparison is limited to the qualitative properties of two hypothetical market structures that are intended to reflect the essential differences between wholesale and retail competition. The authors are not concerned with problems of getting from today`s market structure to either end state.

  10. April 24, 2001 To all retail Providers/Wholesalers/Power Pools

    E-Print Network [OSTI]

    April 24, 2001 To all retail Providers/Wholesalers/Power Pools: This letter is to alert you a tradable certificates program for use by generators, pools/wholesalers and retail providers for supporting

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

    E-Print Network [OSTI]

    Joskow, Paul L.

    2000-01-01T23:59:59.000Z

    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 ...

  12. The growth of retail REITs : an exploration of current practices and implications

    E-Print Network [OSTI]

    Toth, A. Eric (Anthony Eric), 1971-

    2003-01-01T23:59:59.000Z

    This study is an exploration of the current growth activity of retail real estate investment trusts (REITs). The specific questions to be explored are: How are retail REITs currently growing, how is this growth being ...

  13. Better Buildings Neighborhood Program Business Models Guide: Contractor/Retailer Business Models

    Broader source: Energy.gov [DOE]

    Business models information focused on remodelers, HVAC (heating, ventilation, and air conditioning) contractors, home performance contractors, or retailers.

  14. Retail Demand Response in Southwest Power Pool

    SciTech Connect (OSTI)

    Bharvirkar, Ranjit; Heffner, Grayson; Goldman, Charles

    2009-01-30T23:59:59.000Z

    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.

  15. Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations/C) on integrated retail and wholesale power market operations. The physical operations of the A/C sys- tem at wholesale conditional on A/C load, and the retail energy prices offered to residential A/C consumers

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality Leigh of the Integrated Retail/Wholesale (IRW) project at Iowa State University · IRW Test Bed development · Integration-NE, MISO, XM, RTE, MEC IRW Project: Integrated Retail/Wholesale Power System Operation with Smart

  17. 2004 Notes2Providers.doc -1-Notes to Retail Providers

    E-Print Network [OSTI]

    with the meter data reported to the system operator (Retail providers that purchase electricity from a power pool2004 Notes2Providers.doc -1- Notes to Retail Providers February 2005 Power Source Disclosure than the California Mix, (Net System Power)i . As a retail provider you are probably aware that all

  18. Dominion Retail Inc (New York) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion RetailDominion Retail Inc

  19. Fact #858 February 2, 2015 Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008

  20. Privacy Preserving Smart Metering System Based Retail Level Electricity Market

    E-Print Network [OSTI]

    Franchetti, Franz

    1 Privacy Preserving Smart Metering System Based Retail Level Electricity Market Cory Thoma, Tao Cui, Student Member, IEEE, Franz Franchetti, Member, IEEE Abstract--Smart metering systems multi-party compu- tation (SMC) based privacy preserving smart metering system. Using the proposed SMC

  1. Safeguarding Truck-Shipped Wholesale and Retail Fuels (STSWRF)

    E-Print Network [OSTI]

    Safeguarding Truck-Shipped Wholesale and Retail Fuels (STSWRF) Oak Ridge National Laboratory at the wholesaler/distributor level or below. This presents additional challenges in tracking untaxed fuel after approved ORNL's plan to conduct a Phase II Pilot Test titled Safeguarding Truck-Shipped Wholesale

  2. Retail Shelf-life Characteristics of Dry-aged Beef

    E-Print Network [OSTI]

    Ulbrich, Carson

    2010-07-14T23:59:59.000Z

    counts, lactic acid bacteria, and yeast and mold counts. Surface discoloration (P = 0.007) and fat discoloration (P < 0.0001) of steaks increased as aging period and retail steak shelf-life day increased. Also, off-odor development increased (P < 0...

  3. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

    IOU IRC ISO LMP LBNL LSE MISO MP MRO MWG M&V NERC OATT PUCrecommended a focus on what MISO refers to as DRR Type IIis consistent with trends in MISO and elsewhere and suggests

  4. The LBNL Water Heater Retail Price Database

    E-Print Network [OSTI]

    Lekov, Alex; Glover, Julie; Lutz, Jim

    2000-01-01T23:59:59.000Z

    display the distribution of water heater models by fee typeelectric and gas-fired water heaters, respectively. DeliveryDistribution of Electric Water Heaters by Fee Type Figure B-

  5. Contractual Pricing Problems for Retail Distribution under Different Channel Structures

    E-Print Network [OSTI]

    Zhao, Su

    2014-12-09T23:59:59.000Z

    and Mallik (2010)) examining this setting under the wholesale price contract from supplier-driven perspective, the prior work considers Bertrand com- petition (Bertrand (1883)) between buyers. That is, “In the Bertrand model, firms simultaneously choose... of competing on quantities or prices after observing the suppliers’ wholesale prices. However, either Cournot or Bertrand competition is not involved in the buyer-driven channel. It is because after observing the suppliers’ wholesale prices, the buyers’ retail...

  6. April 9, 2002 To all retail providers

    E-Print Network [OSTI]

    Renewable 12% 12% -Biomass & waste 3% 3% -Geothermal 5% 5% -Small hydroelectric 3% 3% -Solar (projected) (for comparison) Eligible Renewable 56% 12% -Biomass & waste - 3% -Geothermal - 5% -Small shown below: (Corrected Small Hydro Percentage) Fuel Type 2001 Net System Power Eligible Renewable 12

  7. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"

  8. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,

  9. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full service

  10. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full

  11. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"

  12. Certain aspects of inventory control as one of the management tools for the retail lumber and building material dealer of Texas

    E-Print Network [OSTI]

    Amason, Robert Daniel

    1958-01-01T23:59:59.000Z

    of sales volumes and ~ xpense accounts, but few of them realise that their own accounting section could prepare adequate factual data to supplement )udgment and experience for the control of inventory. Regardless of the type of merchandise within... the retail bus- iness, and regardless oi the investment required, there must be a sufficient quantity of goods on hand to take care of consumer demand. Otherwise many sales can be lost. In order to meet demand, and to prevent customer dissatisfaction...

  13. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector",

  14. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector",Arizona" ,"Full

  15. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector",Arizona"

  16. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut" ,"Full service

  17. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut" ,"Full

  18. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut" ,"FullDistrict of

  19. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut" ,"FullDistrict

  20. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut"

  1. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut"Hawaii" ,"Full

  2. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut"Hawaii"

  3. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah"Connecticut"Hawaii"Illinois"

  4. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full service providers",,,,,"Other

  5. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full service providers",,,,,"OtherKansas"

  6. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full serviceLouisiana" ,"Full service

  7. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full serviceLouisiana" ,"Full

  8. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full serviceLouisiana" ,"FullMaryland"

  9. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full serviceLouisiana"

  10. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full serviceLouisiana"Michigan" ,"Full

  11. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"Full serviceLouisiana"Michigan"

  12. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri" ,"Full service

  13. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri" ,"Full serviceMontana"

  14. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri" ,"Full

  15. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri" ,"FullNevada" ,"Full

  16. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri" ,"FullNevada"

  17. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri" ,"FullNevada"Jersey"

  18. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"

  19. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York" ,"Full service

  20. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York" ,"Full

  1. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York" ,"FullNorth

  2. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York" ,"FullNorthOhio"

  3. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York"

  4. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York"Oregon" ,"Full

  5. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York"Oregon"

  6. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa" ,"FullMissouri"York"Oregon"Rhode

  7. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full service providers",,,,,"Other

  8. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full service

  9. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full serviceTexas" ,"Full service

  10. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full serviceTexas" ,"Full

  11. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full serviceTexas" ,"FullUtah"

  12. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full serviceTexas"

  13. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full serviceTexas"Virginia"

  14. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"Full

  15. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia" ,"Full service

  16. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia" ,"Full

  17. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"

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

    E-Print Network [OSTI]

    Allgor, Russell

    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 ...

  19. Dr. StrangeBox or : how I learned to stop worrying and love urban big box retail

    E-Print Network [OSTI]

    Press, Jared Harding

    2013-01-01T23:59:59.000Z

    Over the past decade, Big Box retailers have been trying to tap into urban markets after years of explicitly avoiding them in favor of suburban environments. In the past few years, retailers have begun experimenting with ...

  20. Does mix matter? : comparing the performance of mixed-use and single-use retail clusters during an economic downturn

    E-Print Network [OSTI]

    Edwards, Caroline (Caroline Todd)

    2011-01-01T23:59:59.000Z

    Retail development in suburban locations has long been dominated by retail "strips" along major roadways and large, enclosed shopping malls. More compact, planned alternatives to sprawl development have been gaining in ...

  1. Evaluating Government's Policies on Promoting Smart Metering Diffusion in Retail Electricity Markets via

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Evaluating Government's Policies on Promoting Smart Metering Diffusion in Retail Electricity on promoting smart metering in the U.K. retail electricity market. We break down the policy into four possible recommendations for the energy mar- ket is the adoption of smart metering technology, which, in addition

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    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 functionality. This test bed seams together two existing test beds, the AMES Wholesale Power Market Test Bed

  3. Fiber to the Premise (FTTP) Industry Structure: Implications of a Wholesale-Retail Split

    E-Print Network [OSTI]

    Sirbu, Marvin

    Fiber to the Premise (FTTP) Industry Structure: Implications of a Wholesale-Retail Split Anupam. In other cases, either out of choice or regulation, we observe the network owner (the wholesaler) leasing the shared network (wholesale-retail split). The network owner can either wholesale dark fiber or "lit

  4. A conceptual framework to understand retailers' logistics1 and transport organization illustrated for groceries' goods2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A conceptual framework to understand retailers' logistics1 and transport organization ­ illustrated38 * Corresponding author9 10 11 1 IFSTTAR,12 Production Systems, logistics, Transport Organisation as retailers, through in-house or51 outsourced logistics deliveries to points of sale, have a high share

  5. Retail Demand Response in Southwest Power Pool | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingof EnhancedRestructuring ourU.S. DepartmentRetail

  6. Retail Demand Response in Southwest Power Pool | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetail Demand Response in Southwest Power Pool

  7. Reliant Energy Retail Services LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form History FacebookRegenesys Holdings Ltd JumpReliant Energy Retail

  8. Reliant Energy Retail Services, LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form History FacebookRegenesys Holdings Ltd JumpReliant Energy RetailReliant

  9. Dominion Retail Inc (New Jersey) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict of Columbia:Dominion Retail

  10. NextEra Retail of Texas LP | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpen EnergyNelsoniX LtdNew EnergyCity DataNextEra Retail of

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheasternInformation TengchongTex-La ElectricTexas Retail Energy,

  12. ,"Motor Gasoline Sales Through Retail Outlets Prices "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future ProductionNetPriceGas, WetThrough Retail

  13. Coordination of Retail Demand Response with Midwest ISO Markets

    SciTech Connect (OSTI)

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

    2008-05-27T23:59:59.000Z

    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.

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"

  19. Foreign Direct Investment in Food Retailing: The Case of the People’s Republic of China 

    E-Print Network [OSTI]

    Au-Yeung, Amelia Y.S.

    Foreign direct investment (FDI) in food retailing has generated a considerable amount of attention in both the media and the business world throughout the 199Os, with a strong focus on Asian and Central and Eastern ...

  20. Dynamic retail assortment models with demand learning for seasonal consumer goods

    E-Print Network [OSTI]

    Caro, Felipe

    2005-01-01T23:59:59.000Z

    The main research question we explore in this dissertation is: How should a retailer modify its product assortment over time in order to maximize overall profits for a given selling season? Historically, long development, ...

  1. A Case Study of Food Safety Culture Within a Retailer Corporate Culture

    E-Print Network [OSTI]

    Santibanez-Rivera, Rodrigo

    2011-02-22T23:59:59.000Z

    The retail business has been negatively affected due to the increasing customer concerns about food safety and the recent events related to microbiological and chemical contamination of food products, such as the melamine in infant formula...

  2. Market research of commercial recommendation engines for online and offline retail

    E-Print Network [OSTI]

    Duan, Yaoyao Clare

    2014-01-01T23:59:59.000Z

    In the era of big data and predictive analytics, recommendation systems or recommendation engines that recommend merchandise or service offerings based on individual preferences have had a revolutionary impact on retail ...

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

    E-Print Network [OSTI]

    Scanlon, Erik R

    2011-01-01T23:59:59.000Z

    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, ...

  4. Managing Product Variety and Collocation in a Competitive Environment: An Empirical Investigation of Consumer Electronics Retailing

    E-Print Network [OSTI]

    Ren, Charlotte R.

    Product variety is an important strategic tool that firms can use to attract customers and respond to competition. This study focuses on the retail industry and investigates how stores manage their product variety, contingent ...

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

    SciTech Connect (OSTI)

    Camm, F.

    1983-03-01T23:59:59.000Z

    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.

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West AverageMexico"

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"WestArizona"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012, 2011, 2010,

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012, 2011,

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012,

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012,District of

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013, 2012,District

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013,

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013,Hawaii"

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector", 2013,Hawaii"Idaho"

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector",

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector",Indiana"

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado" "Sector",Indiana"Iowa"

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector", 2013, 2012,

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector", 2013,

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector",

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky" "Sector",Maryland"

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"Michigan" "Sector",

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"Michigan"

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011,Colorado"Kentucky"Michigan"Mississippi"

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011, 2010, 2009, 2008,

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011, 2010, 2009,

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011, 2010,

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011,

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012, 2011,Jersey"

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012,

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013, 2012,Carolina"

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,Ohio" "Sector",

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,Ohio"

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector", 2013,Ohio"Oregon"

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",Rhode Island"

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",Rhode Island"Carolina"

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",Rhode

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",RhodeTennessee"

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana" "Sector",RhodeTennessee"Texas"

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013, 2012, 2011, 2010,

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013, 2012, 2011,

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013, 2012,

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,West Virginia"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,West

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012,Montana"Utah" "Sector", 2013,WestWyoming"

  11. Retail market test: An in-depth evaluation of a new product concept for lamb.

    E-Print Network [OSTI]

    Naylor, Robert Kenneth

    1967-01-01T23:59:59.000Z

    Consumer panel test 42 42 43 Design of Consumer Purchase and Acceptance Test ~ 44 Retail store test 45 Test city criteria Sales analysis procedure Promotional campaign Television Newspaper Radio Point-of-Purchase 47 47 47 47 In... Multiple covariance analysis Field Organization for the Market Test 50 50 VI THE RETAIL STORE TEST 52 General Consumer Awareness 52 General Sales Analysis Lamb sales analysis Summary Pork sales analysis Beef sales analysis 53 53 57 58 59...

  12. An analysis of the threshold necessary to sustain rural Texas retail outlets

    E-Print Network [OSTI]

    Adcock, Donna P

    1992-01-01T23:59:59.000Z

    AN ANALYSIS OF THE THRESHOLD NECESSARY TO SUSTAIN RURAL TEXAS RETAIL OUTLETS A Thesis by DONNA PFLUGER ADCOCK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE August 1992 Major Subject: Agricultural Economics AN ANALYSIS OF THE THRESHOLD NECESSARY TO SUSTAIN RURAL TEXAS RETAIL OUTLETS A Thesis by DONNA PFLUGER ADCOCK Approved as to style and content by: Dennis U. Fisher (Chair...

  13. Application of Dynamic Pricing toApplication of Dynamic Pricing to Retail and Supply Chain ManagementRetail and Supply Chain Management

    E-Print Network [OSTI]

    Marcotte, Patrice

    profit Variable cost Profit increase of 8.0% Capture 1% price increase Fixed cost Price is the biggestApplication of Dynamic Pricing toApplication of Dynamic Pricing to Retail and Supply Chain OF PRESENTATION ·· The pricing challengeThe pricing challenge ·· The practice of pricingThe practice of pricing

  14. An Agent-Based Test Bed for the Integrated Study of Retail and Wholesale Power System Operations

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    An Agent-Based Test Bed for the Integrated Study of Retail and Wholesale Power System Operations D study of retail and wholesale power markets operating over transmission and distribution networks with smart-grid functionality. The test bed will seam together two existing test beds, the AMES Wholesale

  15. A Nested Game-Based Optimization Framework for Electricity Retailers in the Smart Grid with Residential Users and PEVs

    E-Print Network [OSTI]

    Pedram, Massoud

    A Nested Game-Based Optimization Framework for Electricity Retailers in the Smart Grid California Los Angeles, CA USA {yli760, yanzhiwa, shahin, pedram}@usc.edu Abstract--In the smart grid, real their electricity consumption, thereby improving the reliability of the grid. Retailers are incorporated

  16. M A R K E T S P O T L I G H T Optimizing Supplier-Retailer Collaboration

    E-Print Network [OSTI]

    Fisher, Kathleen

    new collaboration opportunities and driving innovation across the entire retail and manufacturing supply chain. In addition to being a new means of data collection, mobile applications and smart devices. IDC Manufacturing Insights' Supply Chain Survey found that retailers and manufacturers alike have

  17. Optimal Power Flow Formulation in Market of Retail Wheeling Taiyou Yong, Student Member, IEEE Robert Lasseter, Fellow, IEEE

    E-Print Network [OSTI]

    power plants, nuclear power plants etc and selling power to consumers. The suppliers have contractsOptimal Power Flow Formulation in Market of Retail Wheeling Taiyou Yong, Student Member, IEEE at Madison, Madison, Wisconsin, USA Abstract: Power system deregulation along with retail wheeling

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

    Broader source: Energy.gov [DOE]

    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.

  19. Reference Buildings by Building Type: Stand-alone retail | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergy new2004_v1.3_5.0.zip

  20. Reference Buildings by Building Type: Stand-alone retail | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergy new2004_v1.3_5.0.zipEnergy

  1. Reference Buildings by Building Type: Stand-alone retail | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergy

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

    SciTech Connect (OSTI)

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

    1996-03-01T23:59:59.000Z

    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.

  3. The Texas Retail Meat Industry -- Structure, Operational Characteristics, and Competitive Practices.

    E-Print Network [OSTI]

    Dietrich, Raymond A.

    1975-01-01T23:59:59.000Z

    , supermarkets accounted for more than 90 percent of the 1,040 million pounds of fresh and processed red meat merchandised by Texas retail food stores. Grocery firms and affiliated independent groups with 11 or more stores accounted for more than four... interviewed. Forty-five percent found it difficult to estimate the effect of meat specials on total com- pany sales, since such specials were conducted on a weekly or daily basis. However, one-third of the retailers found company sales increas- ing from 1...

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

    SciTech Connect (OSTI)

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

    1999-12-01T23:59:59.000Z

    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.

  5. Impact on retail prices of non-neutral wholesale prices for content providers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Impact on retail prices of non-neutral wholesale prices for content providers Giuseppe D Atlantique Rennes, France Email: bruno.tuffin@irisa.fr Abstract--The impact of wholesale prices is examined equal wholesale prices to the two content providers), the benefits coming from wholesale price

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

    E-Print Network [OSTI]

    Monteiro, Edmundo

    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

  7. Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with

    E-Print Network [OSTI]

    Bhatia, Sangeeta

    Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA {mardavij, mdrine loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based

  8. Better Buildings Neighborhood Program Business Models Guide: Contractor/Retailer Description

    Broader source: Energy.gov [DOE]

    The home improvement market includes a range of private-sector entities that currently provide or could offer home energy upgrade services. Most of these entities are remodelers, HVAC (heating, ventilation, and air conditioning) contractors, home performance contractors, or retailers; other actors are present in the sector (such as window installers and insulators), but this analysis focuses on these four main categories.

  9. Retail Beamed Power for a Micro Renewable Energy Architecture: Survey Narayanan Komerath, Girish Chowdhary

    E-Print Network [OSTI]

    komerath@gatech.edu Abstract-- Retail delivery of electric power through millimeter waves is relevant in developing areas where the market for micro devices outpaces the power grid infrastructure. It is also for the electric power grid as well. This poses a window of opportunity for options that are compatible with micro

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

    E-Print Network [OSTI]

    Monteiro, Edmundo

    , real time price. Abstract: In the new deregulated market of the electricity industry the communication tool to reflect the changes made by one of the intervenients in the whole value chain. When prices prices that could take retail companies to bankruptcy, to huge blackouts that happened in Europe

  11. A Look at Retail and Service Buildings - Index Page

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

    stores, automobile showrooms, drugstores, building material supply stores, and wholesale shopping clubs. See Description of Building Types on the main CBECS page for a more...

  12. Should India open foreign direct investment in multi-brand retail : a case study using the Wal-Mart effect

    E-Print Network [OSTI]

    Das, Ashish Kumar, M.B.A. Massachusetts Institute of Technology

    2011-01-01T23:59:59.000Z

    As India grows, driven by its success in information technology and services, there is another revolution waiting to happen in the Retail sector dependent on whether the Government of India can unshackle the various ...

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

    E-Print Network [OSTI]

    Muehlegger, Erich J.

    2002-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Raphel, Aaron Matthew

    2005-01-01T23:59:59.000Z

    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 ...

  15. A review of "Perceptions of Retailing in Early Modern England. Hampshire, England." by Nancy Cox and Karin Dannehl

    E-Print Network [OSTI]

    Hayworth, Gene

    2008-01-01T23:59:59.000Z

    and Daniel Defoe during the 1720s, excerpts from literature of the period, images of English townships, and retail handbills serve as the primary material from which they draw their conclusions. Concepts of shopping from eighteenth century dictionaries...

  16. Determination of the total fat content of retail cuts of pork at different external fat trim levels

    E-Print Network [OSTI]

    Sippola, Linda Katherine

    1990-01-01T23:59:59.000Z

    obtained from each pork subprimal . . . . 18 3. Chemical fat mean, minimum, maximum, standard deviation, student's t-Test and composite for pork loin retail cuts trimmed to 0. 0 cm or 0. 64 cm external fat level. . 24 4. Chemical fat mean, minimum..., maximum, standard deviation, student's t-Test and composite for pork ham retail cuts trimmed to 0. 0 cm or 0. 64 cm external fat level. . . . . . . . . . . 2 5 5. Chemical moisture mean, minimum, maximum, standard deviation, student's t-Test...

  17. The Beef Nutrient Database Improvement Project: Retail Cuts From the Chuck

    E-Print Network [OSTI]

    West, Sarah

    2010-01-16T23:59:59.000Z

    through fabrication, and the chucks were collected in combos. They then were shipped via refrigerated truck to the Rosenthal Meat Science and Technology Center at Texas A&M University and stored (0-4 ?C) until fabrication. 3.2. Fabrication Chucks... ........................................................... 15 4.1. Separable tissue components of raw and cooked retail cuts .... 15 4.2. Proximate analysis of the separable lean ................................. 16 4.3. Cooking...

  18. E85 Retail Business Case: When and Why to Sell E85

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center HomeIdle Reduction WeightRebate - LADWPPublicE85 Retail Business

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

    SciTech Connect (OSTI)

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

    2008-05-11T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2008-06-24T23:59:59.000Z

    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.

  1. 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]

    Darghouth, Naim Richard

    2013-01-01T23:59:59.000Z

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

  2. Consumer and Retail Market Test of Prepackaged Deboned Frozen Beef.

    E-Print Network [OSTI]

    Branson, Robert E.; King, G. T.

    1960-01-01T23:59:59.000Z

    be able to see what she is buying. The opaque package was used because fro- zen meats lack the attractive color that characterizes the fresh product. Freezing sharply reduces the red color and also frost particles that form on the meat NEW PREMIUM... have both more exposure to the types of news media used plus freezer compartments or deep freeze cabinets in which to keep frozen food items. INFLUENCE...

  3. Healthy Zero Energy Buildings (HZEB) Program - Cross-Sectional Study of Contaminant Levels, Source, Strengths, and Ventilation Rates in Retail Stores

    SciTech Connect (OSTI)

    Chan, Wanyu R.; Sidheswaran, Meera; Cohn, Sebastian; Sullivan, Douglas P.; Fisk, William

    2014-02-01T23:59:59.000Z

    This field study measured ventilation rates and indoor air quality parameters in 21 visits to retail stores in California. The data was collected to guide the development of new, science-based commercial building ventilation rate standards that balance the dual objectives of increasing energy efficiency and maintaining acceptable indoor air quality. Data collection occurred between September 2011 and March 2013. Three types of stores participated in this study: grocery stores, furniture/hardware stores, and apparel stores. Ventilation rates and indoor air contaminant concentrations were measured on a weekday, typically between 9 am and 6 pm. Ventilation rates measured using a tracer gas decay method exceeded the minimum requirement of California’s Title 24 Standard in all but one store. Even though there was adequate ventilation according to Title 24, concentrations of formaldehyde, acetaldehyde, and acrolein exceeded the most stringent chronic health guidelines. Other indoor air contaminants measured included carbon dioxide (CO{sub 2}), carbon monoxide (CO), ozone (O{sub 3}), and particulate matter (PM). Concentrations of CO{sub 2} were kept low by adequate ventilation, and were assumed low also because the sampling occurred on a weekday when retail stores were less busy. CO concentrations were also low. The indoor-outdoor ratios of O{sub 3} showed that the first-order loss rate may vary by store trade types and also by ventilation mode (mechanical versus natural). Analysis of fine and ultrafine PM measurements showed that a substantial portion of the particle mass in grocery stores with cooking-related emissions was in particles less than 0.3 ?m. Stores without cooking as an indoor source had PM size distributions that were more similar indoors and outdoors. The whole-building emission rates of volatile organic compounds (VOCs) and PM were estimated from the measured ventilation rates and indoor and outdoor contaminant concentrations. Mass balance models were then used to determine the ventilation rates, filtration strategies, or source reductions needed to maintain indoor contaminant concentrations below reference levels. Several scenarios of potential concern were considered: (i) formaldehyde levels in furniture/hardware stores, (ii) contaminants associated with cooking (e.g., PM, acrolein, and acetaldehyde) in grocery stores, and (iii) outdoor contaminants (e.g., PM and O{sub 3}) impacting stores that use natural ventilation. Estimated formaldehyde emission rates suggest that retail stores would need to ventilate at levels far exceeding the current Title 24 requirement to lower indoor concentrations below California’s stringent formaldehyde reference level. Given the high costs of providing ventilation but only modest chronic health benefit is expected, effective source control is an attractive alternative, as demonstrated by some retail stores in this study. Predictions showed that grocery stores need MERV 13 air filters, instead of MERV 8 filters that are more commonly used, to maintain indoor PM at levels that meet the chronic health standards for PM. Exposure to acrolein is a potential health concern in grocery stores, and should be addressed by increasing the use of kitchen range hoods or improving their contaminant removal efficiency. In stores that rely on natural ventilation, indoor PM can be a health concern if the stores are located in areas with high outdoor PM. This concern may be addressed by switching to mechanical ventilation when the outdoor air quality is poor, while continuing natural ventilation when outdoor air quality is good.

  4. Empirical examination of allegations of ''below-cost'' retail selling of gasoline by refiners: Research study No. 038

    SciTech Connect (OSTI)

    Hogarty, T.F.; Lindstrom, P.M.

    1986-10-01T23:59:59.000Z

    It is alleged by some dealers that (major) refiners consistently sell their gasoline through directly operated stations at retail prices below the prices charged to resellers. The results of this examination, involving more than 2000 price comparisons, failed to reveal a single instance where the average monthly retail price at refiner operated stations was below the price charged resellers by refiners. This result obtained not only for all gasoline sales by major refiners, but also for specific grades of gasoline sold by all refiners. Moreover, a large majority of the average monthly price differentials were greater than 6 cents per gallon, and exceeded 10 cents per gallon in a significant number of instances. Thus, the data do not support the allegation of widespread ''below-cost'' selling by refiners through outlets which they own and operate. Therefore, the rationale offered for legislation mandating retail divorcement, or prohibiting ''below-cost'' is not supported by the evidence. 3 figs., 5 tabs.

  5. To Own or Lease Solar: Understanding Commercial Retailers' Decisions to Use Alternative Financing Models

    SciTech Connect (OSTI)

    Feldman, D.; Margolis, R.

    2014-12-01T23:59:59.000Z

    This report examines the tradeoffs among financing methods for businesses installing onsite photovoltaics (PV). We present case studies of PV financing strategies used by two large commercial retailers that have deployed substantial U.S. PV capacity: IKEA, which owns its PV, and Staples, which purchases power generated from onsite PV systems through power purchase agreements (PPAs). We also analyze the financial considerations that influence any company's choice of PV financing strategy. Our goal in this report is to clarify the financial and institutional costs and benefits of financing strategies and to inform other companies that are considering launching or expanding similar PV programs.

  6. The effect of blade tenderization on the palatability and retail caselife of beef steaks

    E-Print Network [OSTI]

    Huerta, Nelson Orlando

    1976-01-01T23:59:59.000Z

    of the Student Newman-Keuls' test. (Steel and Torrie, 1960). E i tie. S * t*pra ds (ZMPS168) ad 7 bottom rounds (IMPS 171B) were wrapped in polyvinyl chloride (PVC) film (Goodyear "Prime Wrap" ) and stored for 23-25 days at 3-4 C in order to develop slime... steak. All steaks in this experiment were placed in individual styroi'oam trays, overwrapped with PVC film (Goodyear "Prime 25 Wrap" ) and placed under simulated retail caselife conditions (1-3 C under 90 ft-C of incandescent light). A trained 2...

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

    SciTech Connect (OSTI)

    Not Available

    2011-06-01T23:59:59.000Z

    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.

  8. Impact of different subcutaneous fat trim levels on the composition of beef retail cuts

    E-Print Network [OSTI]

    Jones, Darron Kirk

    1988-01-01T23:59:59.000Z

    from the top mund, bottom round, eye of mund, sirloin tip, top sirloin butt, strip loin, tenderloin, rib, arm and blade sections of the chuck, and brisket. The retail cuts were serially assigned to the following treatments: (A) trimmed to 0. 6 cm... external fat, raw; (B) ~ to 0. 6 cm external fat, cooked; (C) ~ to 0. 0 cm external fat, cooked. The samples that were treated as raw, trimmed to 0. 6 cm were dissected into separable lean, external fat, seam fat, and heavy connective tissue and bone...

  9. Retail appearance and microbiological characteristics of vacuum packaged pork loin chops

    E-Print Network [OSTI]

    Vrana, Julie Ann

    1982-01-01T23:59:59.000Z

    packaged chops were acceptable for 10 days for all storage treatments, chops from the parchment paper and vacuum packaged storage treatments contained off-odors which were 11miting factors in achieving long shelf-life. ACKNOWLEDGMENTS The author 1s... and retail display. Means within packaging film underscored by a coamon line are not different (P&. 05). ' Means in the same column within each storage treatment bearing a common superscript letter are not different (Px. 05). d. e. f. g, h, i 28 surface...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April 25, 20137a.06Retail Sales of

  11. Revenue from Retail Sales of Electricity (Thousand Dollars) by State by Provider

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April 25, 20137a.06Retail Sales ofRevenue

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | Open EnergyInformation Hess Retail Natural Gas and Elec. Acctg.

  13. Impact of residential PV adoption on Retail Electricity Rates Desmond W.H. Cai a,n

    E-Print Network [OSTI]

    Low, Steven H.

    companies to recover its fixed costs. However, higher electricity rates give households more incentives companies could lose a significant fraction of high consumption customers. a r t i c l e i n f o Article) solar cells has fallen below the retail price of grid electricity in some areas. A number of residential

  14. Retail Lamps Study 3.1: Dimming, Flicker, and Power Quality Characteristics of LED A Lamps.

    SciTech Connect (OSTI)

    Royer, Michael P.; Poplawski, Michael E.; Brown, Charles C.

    2014-12-14T23:59:59.000Z

    To date, all three reports in the retail lamps series have focused on basic performance parameters, such as lumen output, efficacy, and color quality. This report goes a step further, examining the photoelectric characteristics (i.e., dimming and flicker) of a subset of lamps from CALiPER Retails Lamps Study 3. Specifically, this report focuses on the dimming, power quality, and flicker characteristics of 14 LED A lamps, as controlled by four different retail-available dimmers. The results demonstrate notable variation across the various lamps, but little variation between the four dimmers. Overall, the LED lamps: ~tended to have higher relative light output compared to the incandescent and halogen benchmark at the same dimmer output signal (RMS voltage). The lamps’ dimming curves (i.e., the relationship between control signal and relative light output) ranged from linear to very similar to the square-law curve typical of an incandescent lamp. ~generally exhibited symmetrical behavior—the same dimming curve—when measured proceeding from maximum to minimum or minimum to maximum control signal. ~mostly dimmed below 10% of full light output, with some exceptions for specific lamp and dimmer combinations ~exhibited a range of flicker characteristics, with many comparing favorably to the level typical of a magnetically-ballasted fluorescent lamp through at least a majority of the dimming range. ~ always exceeded the relative (normalized) efficacy over the dimming range of the benchmark lamps, which rapidly decline in efficacy when they are dimmed. This report generally does not attempt to rank the performance of one product compared to another, but instead focuses on the collective performance of the group versus conventional incandescent or halogen lamps, the performance of which is likely to be the baseline for a majority of consumers. Undoubtedly, some LED lamps perform better—or more similar to conventional lamps—than others. Some perform desirably for one characteristic, but not others. Consumers (and specifiers) may have a hard time distinguishing better-performing lamps from one another; at this time, physical experimentation is likely the best evaluation tool.

  15. Considerations for centralized packaging of beef retail cuts / by Davey Brian Griffin

    E-Print Network [OSTI]

    Griffin, Davey Brian

    1981-01-01T23:59:59.000Z

    nt) December 1981 AB S TRACT Considerations for Centralized Packaging of Beef Retail Cuts. (December 1981) Davey Brian Griffin, B. S. , Texas A&M University Co-Chairmen of Advisory Committee: Dr. J. W. Savell Dr. G. C. Smith A two-part study... film (days) (days) 2M 75: Display i~tom High d ~h (drys) 2T. 7't 2't 7'C 12 0 13. 34 13. 01 1 12. 90 12. 55 2 12. 21 11. 52 3 11. 26 10. 72 4 11. 27 10. 19 5 9. 90 9. 47 g 6 9. 20 8. 538 0 13. 69 13. 76 11. 97 11. 34 11. 75 11. 01 10. 66...

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

    SciTech Connect (OSTI)

    Haves, Philip; Coffey, Brian; Williams, Scott

    2008-06-11T23:59:59.000Z

    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.

  17. To Contrast and Compare

    E-Print Network [OSTI]

    Macfarlane, Alan

    2006-01-01T23:59:59.000Z

    of social relations (feudalism, capitalism, mercantilism,in the famous case of 'feudalism' as an ideal type, therea tendency to see French feudalism as the 'proper' form and

  18. Technical Support Document: Development of the Advanced Energy Design Guide for Medium to Big Box Retail Buildings - 50% Energy Savings

    SciTech Connect (OSTI)

    Bonnema, E.; Leach, M.; Pless, S.

    2013-06-01T23:59:59.000Z

    This Technical Support Document describes the process and methodology for the development of the Advanced Energy Design Guide for Medium to Big Box Retail Buildings: Achieving 50% Energy Savings Toward a Net Zero Energy Building (AEDG-MBBR) ASHRAE et al. (2011b). The AEDG-MBBR is intended to provide recommendations for achieving 50% whole-building energy savings in retail stores over levels achieved by following ANSI/ASHRAE/IESNA Standard 90.1-2004, Energy Standard for Buildings Except Low-Rise Residential Buildings (Standard 90.1-2004) (ASHRAE 2004b). The AEDG-MBBR was developed in collaboration with the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), the American Institute of Architects (AIA), the Illuminating Engineering Society of North America (IES), the U.S. Green Building Council (USGBC), and the U.S. Department of Energy.

  19. Technical Support Document: The Development of the Advanced Energy Design Guide for Small Retail Buildings

    SciTech Connect (OSTI)

    Liu, Bing; Jarnagin, Ronald E.; Winiarski, David W.; Jiang, Wei; McBride, Merle F.; Crall, C.

    2006-09-30T23:59:59.000Z

    The Advanced Energy Design Guide for Small Retail Buildings (AEDG-SR) was developed by a partnership of organizations, including the American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE), the American Institute of Architects (AIA), the Illuminating Engineering Society of North America (IESNA), the United States Green Buildings Council (USGBC), and the Department of Energy (DOE). The guide is intended to offer recommendations to achieve 30% energy savings and thus to encourage steady progress towards net-zero energy buildings. The baseline level energy use was set at buildings built at the turn of the millennium, which are assumed to be based on ANSI/ASHRAE/IESNA Standard 90.1-1999, Energy Standard for Buildings Except Low-Rise Residential Buildings (refer to as the ?Standard? in this report). ASHRAE and its partners are engaged in the development of a series of guides for small commercial buildings, with the AEDG-SR being the second in the series. Previously the partnership developed the Advanced Energy Design Guide for Small Office Buildings: Achieving 30% Energy Savings Over ANSI/ASHRAE/IESNA Standard 90.1-1999, which was published in late 2004. The technical support document prepared by PNNL details how the energy analysis performed in support of the Guide and documents development of recommendation criteria.

  20. State of competition in gasoline marketing. The effects of refiner operation at retail (a study required by Title III of the Petroleum Marketing Practices Act)

    SciTech Connect (OSTI)

    Delaney, J.B.; Fenili, R.N.

    1980-05-01T23:59:59.000Z

    Title III of the Petroleum Marketing Practices Act requires the Secretary of Energy to report to the Congress on the extent to which producers, refiners, and other suppliers of motor fuel subsidize the sale of such fuel at retail or wholesale with profits obtained from other operations. This is Part I of the report required under that Title. It addresses a number of questions relating to the central issue - the state of competition in the gasoline marketing industry. Part II of the report, to be issued this fall, will discuss the subpoenaed documents of nine integrated companies, and will contain recommendations for action, if deemed necessary. The basic thrust of Part I is an examination of three issues: (1) Are integrated refiners subsidizing their company operated gasoline retail outlets; (2) Are integrated refiners moving gasoline away from their branded dealer network into their own retail outlets; and (3) Are integrated refiners manipulating the allocation system in favor of their own retail outlets to the detriment of other gasoline marketers. At a series of regional hearings, independent marketers charged that integrated refiners were engaging in each of these practices. In essence, integrated refiners were portrayed as using unfair or illegal competitive practices which would ultimately lead to their domination of retail gasoline markets. This report addresses each allegation, after providing a historical and theoretical framework for today's debate.

  1. Consumer Convenience and the Availability of Retail Stations as a Market Barrier for Alternative Fuel Vehicles: Preprint

    SciTech Connect (OSTI)

    Melaina, M.; Bremson, J.; Solo, K.

    2013-01-01T23:59:59.000Z

    The availability of retail stations can be a significant barrier to the adoption of alternative fuel light-duty vehicles in household markets. This is especially the case during early market growth when retail stations are likely to be sparse and when vehicles are dedicated in the sense that they can only be fuelled with a new alternative fuel. For some bi-fuel vehicles, which can also fuel with conventional gasoline or diesel, limited availability will not necessarily limit vehicle sales but can limit fuel use. The impact of limited availability on vehicle purchase decisions is largely a function of geographic coverage and consumer perception. In this paper we review previous attempts to quantify the value of availability and present results from two studies that rely upon distinct methodologies. The first study relies upon stated preference data from a discrete choice survey and the second relies upon a station clustering algorithm and a rational actor value of time framework. Results from the two studies provide an estimate of the discrepancy between stated preference cost penalties and a lower bound on potential revealed cost penalties.

  2. Transportation Energy Futures Series: Alternative Fuel Infrastructure Expansion: Costs, Resources, Production Capacity, and Retail Availability for Low-Carbon Scenarios

    SciTech Connect (OSTI)

    Melaina, M. W.; Heath, G.; Sandor, D.; Steward, D.; Vimmerstedt, L.; Warner, E.; Webster, K. W.

    2013-04-01T23:59:59.000Z

    Achieving the Department of Energy target of an 80% reduction in greenhouse gas emissions by 2050 depends on transportation-related strategies combining technology innovation, market adoption, and changes in consumer behavior. This study examines expanding low-carbon transportation fuel infrastructure to achieve deep GHG emissions reductions, with an emphasis on fuel production facilities and retail components serving light-duty vehicles. Three distinct low-carbon fuel supply scenarios are examined: Portfolio: Successful deployment of a range of advanced vehicle and fuel technologies; Combustion: Market dominance by hybridized internal combustion engine vehicles fueled by advanced biofuels and natural gas; Electrification: Market dominance by electric drive vehicles in the LDV sector, including battery electric, plug-in hybrid, and fuel cell vehicles, that are fueled by low-carbon electricity and hydrogen. A range of possible low-carbon fuel demand outcomes are explored in terms of the scale and scope of infrastructure expansion requirements and evaluated based on fuel costs, energy resource utilization, fuel production infrastructure expansion, and retail infrastructure expansion for LDVs. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored transportation-related strategies for abating GHGs and reducing petroleum dependence.

  3. Mercantile (Enclosed and Strip Malls) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville, Ohio:Menomonee Falls, Wisconsin: Energy ResourcesMentarixEnclosed and

  4. A restructuring agenda for developing competitive retail electric markets that is based on a low-cost, real-time, smart-kilowatt-hour meter adapter

    SciTech Connect (OSTI)

    Chasek, N.E.

    1997-12-31T23:59:59.000Z

    This paper proposes six agenda items that should expedite a politically smooth transition into a most efficient economically viable market-driven public power system. The agenda would introduce: the virtual marketplace for retail electric power, smart meters, smart meter readers, near-real-time load balancing and load apportionment, advanced supply and demand or commodity-style pricing, and reliability metering.

  5. The Impact of Retail Rate Structures on the Economics ofCustomer-Sited PV: A Study of Commercial Installations inCalifornia

    SciTech Connect (OSTI)

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

    2007-06-01T23:59:59.000Z

    We analyze the impact of retail rate design on the economics of grid-connected commercial photovoltaic (PV) systems in California. The analysis is based on 15-minute interval building load and PV production data for 24 commercial PV installations in California, spanning a diverse set of building load shapes and geographic locations. We derive the annual bill savings per kWh generated for each PV system, under each of 21 distinct retail rates currently offered by the five largest utilities in California. We identify and explain variation in the value of bill savings attributable to differences in the structure of demand and energy charges across rates, as well as variation attributable to other factors, such as the size of the PV system relative to building load, the specific shape of the PV production profile, and the customer load profile. We also identify the optimal rate for each customer, among those rates offered as alternatives to one another, and show how the decision is driven in large measure by the size of the PV system relative to building load. The findings reported here may be of value to regulators and utilities responsible for designing retail rates, as well as to customers and PV retailers who have a need to estimate the prospective bill savings of PV systems.

  6. North Carolina State University, Campus Box 7409, Raleigh, NC 27695 | 919-515-3480 | www.ncsc.ncsu.edu | 8/2013 BIODIESEL RETAIL STATIONS IN

    E-Print Network [OSTI]

    .ncsc.ncsu.edu | 8/2013 BIODIESEL RETAIL STATIONS IN NORTH CAROLINA Clean Transportation Program | 919-515-3480 | www Mountain Avenue 828-669-9813 Durham Carolina Biodiesel B20 1410 Cross St 919-957-1500 Durham Cruizer's B20 Biodiesel B100 110 N. Chimney Rock Road 336-209-0728 Hillsborough Carolina Biofuels B100/B80 112 Baldwin

  7. Tenderness Assessment of Beef Steaks from US Foodservice and Retail Establishments Using Warner-Bratzler Shear and Consumer Sensory Panel Ratings

    E-Print Network [OSTI]

    Guelker, Miles

    2012-02-14T23:59:59.000Z

    ranged from 1 to 358 d with a mean of 20.5 d, and those from foodservice establishments aging times ranged from 9 to 67 d with an average of 15.9 d. For retail, top blade had the lowest (P < 0.05) WBS values, while cuts from the round top round...

  8. Award Types

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust AugustInstruments on theAward Types Types of

  9. Technical Support Document: Development of the Advanced Energy Design Guide for Medium Box Retail -- 50% Energy Savings

    SciTech Connect (OSTI)

    Hale, E. T.; Macumber, D. L.; Long, N. L.; Griffith, B. T.; Benne, K. S.; Pless, S. D.; Torcellini, P. A.

    2008-09-01T23:59:59.000Z

    This report provides recommendations that architects, designers, contractors, developers, owners, and lessees of medium box retail buildings can use to achieve whole-building energy savings of at least 50% over ASHRAE Standard 90.1-2004. The recommendations are given by climate zone and address building envelope, fenestration, lighting systems, HVAC systems, building automation and controls, outside air treatment, service water heating, plug loads, and photovoltaic systems. The report presents several paths to 50% savings, which correspond to different levels of integrated design. These are recommendations only, and are not part of a code or standard. The recommendations are not exhaustive, but we do try to emphasize the benefits of integrated building design, that is, a design approach that analyzes a building as a whole system, rather than as a disconnected collection of individually engineered subsystems.

  10. Supply chain network considerations for e-retail of luxury goods in Canada

    E-Print Network [OSTI]

    Tansoy, Dilek

    2012-01-01T23:59:59.000Z

    The Internet has changed the way people purchase goods in the 21st century: many types of goods and services have become available online. Luxury goods followed this trend after an initial delay, primarily due to the nature ...

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type of

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type ofArizona"

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","TypeColorado"

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","Type of

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","Type

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","TypeLouisiana"

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours" ,"Entity","Type

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of provider","All

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of provider","AllTennessee"

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited States"

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited States"Utah"

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"Washington"

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"Washington"West

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming" "megawatthours"

  10. Elasticity estimates for individual retail beef cuts using electronic scanner data

    E-Print Network [OSTI]

    Jourdan, Donna Kathryn

    1981-01-01T23:59:59.000Z

    items are generic (non-branded) products. This means they are not affected by non-price promotion (coupons) to the same degree as branded food items. It is difficult to accurately reflect the effect of non-price promotion in an eco- nomic model... en- abling fresh meat products to be electronically scanned. Very few stores have invested in this type of equipment, This equipment is expensive, sensitive and will not always produce scannable labels. The opportunity to develop a model utilizing...

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"District

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"Illinois"

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"Michigan"

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina" "megawatthours"

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma"

  9. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma"Pennsylvania"

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma"Pennsylvania"Rhode

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"District of

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii" "megawatthours"

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"Illinois"Indiana"

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland" "megawatthours"

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"Michigan"Minnesota"

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total sales, top

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total sales,

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"TotalMexico"

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina" "megawatthours"Dakota"

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma" "megawatthours"

  2. Assignment Types UTS LIBRARY

    E-Print Network [OSTI]

    University of Technology, Sydney

    Assignment Types UTS LIBRARY February 2013 Academic Writing Guide Part 2 ­ Assignment Types: This section outlines the basic types of written assignments, providing structural elements and examples. #12;2 II. Assignment Types 1. Essay Writing

  3. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining% accuracy. ­ 2-5% of pre-production capital Types of Cost Estimates #12;3. Definitive ­ Based on definitive-even $ Production Level Fixed Cost Break-even $ Production Level Cost-Revenue Relationships · Capital Costs (or

  4. The Business Logic of Sustainability: Merging Economic Growth with Social Responsibility--The explosion of organic and eco-friendly products on retail store shelves and in our daily lives is more

    E-Print Network [OSTI]

    California at Davis, University of

    The Business Logic of Sustainability: Merging Economic Growth with Social Responsibility-- The explosion of organic and eco-friendly products on retail store shelves and in our daily lives is more than and sustainability marketing present unique challenges, not the least of which is the lack of standards

  5. Rosemount Orchard is a sustainable development driven by a sense of community. It will offer affordable housing, "green" and local retail, a picking orchard, a community garden, and plenty of open space. The goal of the community

    E-Print Network [OSTI]

    Netoff, Theoden

    will have solar panels, passive housing, district heating, will reuse all stormwater and greywater on site affordable housing, "green" and local retail, a picking orchard, a community garden, and plenty of open space everyone! The community will have a variety of different housing and different prices, a variety

  6. Types of Commissioning

    Broader source: Energy.gov [DOE]

    Several commissioning types exist to address the specific needs of equipment and systems across both new and existing buildings. The following commissioning types provide a good overview.

  7. Essays on Retail Operations

    E-Print Network [OSTI]

    Chuang, Hao-Chun

    2013-03-12T23:59:59.000Z

    . In the second essay, we develop a dynamic simulation model to analyze multiple antecedents of IRI. Based on simulation results, we derive two hypotheses on the association between IRI and labor. The panel data analysis shows that both the level and the mix...

  8. jcpenney retail renovation

    SciTech Connect (OSTI)

    Baechler, Michael C.; Rosenberg, Michael I.; Zhang, Jian; Ruiz, Kathleen A.; Wilburn, Matthew S.

    2011-06-30T23:59:59.000Z

    JC Penney is a partner with the DOE's Commercial Building Partnerships (CBP) program, working with PNNL to explore energy design measures (EDMs) that may be applied to their building portfolio. A site in Colonial Heights, VA was chosen for a retrofit project; computer modeling predicts 45% improved energy performance compared to baseline operations. This case study reviews EDMs that were selected and their performance as of June 2011.

  9. Retail Electricity Competition

    E-Print Network [OSTI]

    Joskow, Paul; Tirole, Jean

    2004-06-16T23:59:59.000Z

    ?P [ max s E [S (s, ?) ? p ? D (s, ?) | ? ? P ] ] ? C(P) } . (7) This utility is maximized when the consumer is confronted with the wholesale prices: p? ? = p ? . Proposition 4 With real-time meters and imperfectly reactive, but rational consumers: (i... purchase cost corresponds to: 1 entire consumption profile (RT meter) yes customer’s RT profile 2 entire consumption profile (RT meter) no / partial customer’s RT profile 3 aggregate consumption only (traditional meter) no customer’s RT profile 4 aggregate...

  10. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main classes of capital costs: 1. Depreciable Investment: · Investment allocated

  11. State heating oil and propane program: Final report. Survey of No.2 heating oil and propane prices at the retail level, October 1997 through March 1998

    SciTech Connect (OSTI)

    NONE

    1998-11-01T23:59:59.000Z

    The Energy Efficiency Division of the Vermont Department of Public Service (DPS) monitored the price and inventory of residential heating oil and propane during the 1997--98 heating season under a grant from the US Department of Energy`s Energy Information Administration (EIA). DPS staff collected data biweekly between October 5, 1997 and March 16, 1998 on the retail price of {number_sign}2 home heating oil and propane by telephone survey. Propane price quoted was based on the rate for a residential home heating customer using 1,000+ per year. The survey included a sample of fuel dealers selected by the EIA, plus additional dealers and fuels selected by the DPS. The EIA weighted, analyzed, and reported the data collected from their sample.

  12. A study of beef cattle marketing in Venezuela and the marketing margins between the farm and retail levels of prices

    E-Print Network [OSTI]

    Acosta, Sady Ines Borjas-Paez

    1975-01-01T23:59:59.000Z

    "Venezuela Beef Cattle Industry" comprises that sector of the agricultural economy which produces and sells cattle for beef and the agencies and firms involved in marketing of this product. Characteristics of Beef Cattle Production The peculiar ecosystem... savanna type veg- etation, mainly of the trachypogon species. The rest is covered by semi-decidious and gallery forest types includ ? . g b ) pp* ) d) t d ~b'' )b tt ) d) d savannas of PPaspalum fasciculatum" (Figure 3). Mean 0 0 annual temperature...

  13. Types of Reuse

    Broader source: Energy.gov [DOE]

    The following provides greater detail regarding the types of reuse pursued for LM sites. It should be noted that many actual reuses combine several types of the uses listed below.

  14. Typed Self-Optimization

    E-Print Network [OSTI]

    Brown, Matt

    2013-01-01T23:59:59.000Z

    type T y[O]. The operator IsIs is self-applicative, in thatargument t is any of Is[O] or IsIs, and otherwise behavesproof constant introduced by IsIs proves that the type of t

  15. Your Guide to Diabetes: Type 1 and Type 2

    E-Print Network [OSTI]

    Rau, Don C.

    Your Guide to Diabetes: Type 1 and Type 2 National Diabetes Information Clearinghouse #12;#12;Your Guide to Diabetes: Type 1 and Type 2 #12;#12;Contents Learn about Diabetes ............................................................ 1 What is diabetes? .............................................................. 2 What

  16. Fejer-type inequalities

    E-Print Network [OSTI]

    Mitroi, F C

    2011-01-01T23:59:59.000Z

    The aim of this paper is to present some new Fejer-type results for convex functions. Improvements of Young's inequality (the arithmetic-geometric mean inequality) and other applications to special means are pointed as well.

  17. Document Type: Subject Terms

    E-Print Network [OSTI]

    Major, Arkady

    Title: Authors: Source: Document Type: Subject Terms: Abstract: Full Text Word Count: ISSN at creating team results. In fact, it's priceless. Managers in Western corporations have received a lifetime

  18. Dust around Type Ia supernovae

    E-Print Network [OSTI]

    Wang, Lifan

    2005-01-01T23:59:59.000Z

    Dust around Type Ia supernovae Lifan Wang 1,2 LawrenceIa. Subject headings: Supernovae: General, Dust, Extinctionline) bands for Type Ia supernovae. (a), upper panel, shows

  19. Wolter type i LAMAR

    SciTech Connect (OSTI)

    Catura, R.C.; Joki, E.G.

    1981-11-01T23:59:59.000Z

    Observational objectives for the LAMAR and their influence on the instrument design are discussed. It is concluded that the most important design parameter is the angular resolution of the LAMAR modules since it so strongly influences sensitivity, optical identifications, source confusion, spectral resolution for objective gratings and the ability to resolve small extended sources. A high resolution Wolter Type I LAMAR module is described, its hardware status discussed, and the performance of a LAMAR observatory presented. A promising technique for enhancing the reflectivity of Wolter Type I X-ray optics in a selected bandpass at high energy has been investigated and the performance of the LAMAR module, utilizing this method, has been calculated.

  20. Rappels: 4) Piles Types abstraits de donnes (Abstract Data Type)

    E-Print Network [OSTI]

    Hamel, Sylvie

    Rappels: 4) Piles #12;Types abstraits de données (Abstract Data Type) IFT2015, A2009, Sylvie Hamel Université de Montréal 1Piles Type de données Un ensemble de valeurs Un ensemble d'opérations Structure de Université de Montréal 2Piles #12;Type abstrait de données PILE (§4.2) Garde en mémoire des objets

  1. Postdoc Appointment Types

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah Project Office Press ReleasesPost-Closure BenefitsAppointment Types

  2. Nations of Retailers: The Comparative Political Economy of Retail Trade

    E-Print Network [OSTI]

    Watson, Bartholomew Clark

    2011-01-01T23:59:59.000Z

    Walmart’s “efficient” business model might not fare well instrategy to engineer new business models. These new entrantsrelational contracting business models built on cost sharing

  3. Nations of Retailers: The Comparative Political Economy of Retail Trade

    E-Print Network [OSTI]

    Watson, Bartholomew Clark

    2011-01-01T23:59:59.000Z

    to worker ratio than Coop Danmark, which operates more smallcompetition is from Coop Danmark. The Danish Co-operativeFDB (Fællesforeningen for Danmarks Brugsforeninger or Danish

  4. Rappels: 4) Piles Types abstraits de donnes (Abstract Data Type)

    E-Print Network [OSTI]

    Hamel, Sylvie

    Rappels: 4) Piles Types abstraits de données (Abstract Data Type) IFT2015, A2009, Sylvie Hamel Université de Montréal 1Piles Type de données Un ensemble de valeurs Un ensemble d'opérations Structure de Université de Montréal 2Piles Type abstrait de données PILE (§4.2) Garde en mémoire des objets arbitraires

  5. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    Fisheries, through its Market Development Branch, has contracted with the Bureau of Labor Statistics prices. P repared in the Bureau of Commercial Fisheries Branch of Market Development #12;United States - September 1958 CONTENTS TUNA, CANNED : Page --------------- White Meat Tuna Or Albacore, Solid Pack, In Oil

  6. RECONCILIATION OF RETAILER CLAIMS, 2001

    E-Print Network [OSTI]

    the actual energy generated for consumption in California. The activities carried out to meet this mandate fulfills that mandate for calendar year 2001. After reviewing the available data, the Energy Commission purchase report these data directly to the Energy Commission. #12;2 Pursuant to SB 1305, the Energy

  7. RECONCILIATION OF RETAILER CLAIMS, 2000

    E-Print Network [OSTI]

    to consumers and calculating net system power (a default fuel source mix, established annually by the Energy Principal Author Chuck Mizutani Manager TECHNOLOGY MARKET DEVELOPMENT OFFICE Terry Surles Deputy Director Energy Commission (Energy Commission) to prepare an annual report comparing the source of power

  8. Retail Prices for Regular Gasoline

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane780 2.835 2.812 2.801

  9. Mechanism design with approximate types

    E-Print Network [OSTI]

    Zhu, Zeyuan Allen

    2012-01-01T23:59:59.000Z

    In mechanism design, we replace the strong assumption that each player knows his own payoff type exactly with the more realistic assumption that he knows it only approximately: each player i only knows that his true type ...

  10. Types of Farming in Texas.

    E-Print Network [OSTI]

    Bonnen, C. A.

    1960-01-01T23:59:59.000Z

    .......... .......-.----------------------. 8 Labor -..-.....-----...------------------------------------------------. 9 Land Tenure .--.----....---....--------------------------------- 9 Number and Size of Farms ....----...----.-._--------- 10 Capital... -------------...-------.---------------------------- 21 Hogs -......-....--------------------------------------------------- 22 Poultry .-.---.-.....--.-..------.---------------------------------- 22 Horses and Mules ---..-....---..--..------------------------ 23 Types of Farming and Type-of-farming...

  11. Tornado type wind turbines

    DOE Patents [OSTI]

    Hsu, Cheng-Ting (Ames, IA)

    1984-01-01T23:59:59.000Z

    A tornado type wind turbine has a vertically disposed wind collecting tower with spaced apart inner and outer walls and a central bore. The upper end of the tower is open while the lower end of the structure is in communication with a wind intake chamber. An opening in the wind chamber is positioned over a turbine which is in driving communication with an electrical generator. An opening between the inner and outer walls at the lower end of the tower permits radially flowing air to enter the space between the inner and outer walls while a vertically disposed opening in the wind collecting tower permits tangentially flowing air to enter the central bore. A porous portion of the inner wall permits the radially flowing air to interact with the tangentially flowing air so as to create an intensified vortex flow which exits out of the top opening of the tower so as to create a low pressure core and thus draw air through the opening of the wind intake chamber so as to drive the turbine.

  12. A dependent nominal type theory

    E-Print Network [OSTI]

    Cheney, James

    2012-01-01T23:59:59.000Z

    Nominal abstract syntax is an approach to representing names and binding pioneered by Gabbay and Pitts. So far nominal techniques have mostly been studied using classical logic or model theory, not type theory. Nominal extensions to simple, dependent and ML-like polymorphic languages have been studied, but decidability and normalization results have only been established for simple nominal type theories. We present a LF-style dependent type theory extended with name-abstraction types, prove soundness and decidability of beta-eta-equivalence checking, discuss adequacy and canonical forms via an example, and discuss extensions such as dependently-typed recursion and induction principles.

  13. On the asymptotic homotopy type of inductive limit Type ...

    E-Print Network [OSTI]

    In this note we exhibit large classes of (projeetionless) stable, nuclear C*- algebras whose asymptotic homotopy type is determined by K-theoretical data.

  14. Type of Space Bulb Type #/House Fixture Style Greenhouse #

    E-Print Network [OSTI]

    Pawlowski, Wojtek

    Type of Space Bulb Type #/House Fixture Style Greenhouse # 1 Lu 430/Lu 400 24 White box style 2 Lu No bulbs 0 N/A Seed harvest room F32 T8/TL 841 90 bulbs VIGS Room F032 /741/ECO 60 bulbs Chamber Model Bulb

  15. New approaches for modeling type Ia supernovae

    E-Print Network [OSTI]

    Zingale, Michael; Almgren, Ann S.; Bell, John B.; Day, Marcus S.; Rendleman, Charles A.; Woosley, Stan

    2007-01-01T23:59:59.000Z

    runaway in Type Ia supernovae: How to run away? oIgnition in Type Ia Supernovae. II. A Three- dimensionalnumber modeling of type Ia supernovae. I. hydrodynamics.

  16. Regular Type III and Type N Approximate Solutions

    E-Print Network [OSTI]

    Philip Downes; Paul MacAllevey; Bogdan Nita; Ivor Robinson

    2001-05-18T23:59:59.000Z

    New type III and type N approximate solutions which are regular in the linear approximation are shown to exist. For that, we use complex transformations on self-dual Robinson-Trautman metrics rather then the classical approach. The regularity criterion is the boundedness and vanishing at infinity of a scalar obtained by saturating the Bel-Robinson tensor of the first approximation by a time-like vector which is constant with respect to the zeroth approximation.

  17. P-type gallium nitride

    DOE Patents [OSTI]

    Rubin, Michael (Berkeley, CA); Newman, Nathan (Montara, CA); Fu, Tracy (Berkeley, CA); Ross, Jennifer (Pleasanton, CA); Chan, James (Berkeley, CA)

    1997-01-01T23:59:59.000Z

    Several methods have been found to make p-type gallium nitride. P-type gallium nitride has long been sought for electronic devices. N-type gallium nitride is readily available. Discovery of p-type gallium nitride and the methods for making it will enable its use in ultraviolet and blue light-emitting diodes and lasers. pGaN will further enable blue photocathode elements to be made. Molecular beam epitaxy on substrates held at the proper temperatures, assisted by a nitrogen beam of the proper energy produced several types of p-type GaN with hole concentrations of about 5.times.10.sup.11 /cm.sup.3 and hole mobilities of about 500 cm.sup.2 /V-sec, measured at 250.degree. K. P-type GaN can be formed of unintentionally-doped material or can be doped with magnesium by diffusion, ion implantation, or co-evaporation. When applicable, the nitrogen can be substituted with other group III elements such as Al.

  18. P-type gallium nitride

    DOE Patents [OSTI]

    Rubin, M.; Newman, N.; Fu, T.; Ross, J.; Chan, J.

    1997-08-12T23:59:59.000Z

    Several methods have been found to make p-type gallium nitride. P-type gallium nitride has long been sought for electronic devices. N-type gallium nitride is readily available. Discovery of p-type gallium nitride and the methods for making it will enable its use in ultraviolet and blue light-emitting diodes and lasers. pGaN will further enable blue photocathode elements to be made. Molecular beam epitaxy on substrates held at the proper temperatures, assisted by a nitrogen beam of the proper energy produced several types of p-type GaN with hole concentrations of about 5{times}10{sup 11} /cm{sup 3} and hole mobilities of about 500 cm{sup 2} /V-sec, measured at 250 K. P-type GaN can be formed of unintentionally-doped material or can be doped with magnesium by diffusion, ion implantation, or co-evaporation. When applicable, the nitrogen can be substituted with other group III elements such as Al. 9 figs.

  19. Type Ia Supernova Explosion Models

    E-Print Network [OSTI]

    W. Hillebrandt; J. C. Niemeyer

    2000-06-21T23:59:59.000Z

    Because calibrated light curves of Type Ia supernovae have become a major tool to determine the local expansion rate of the Universe and also its geometrical structure, considerable attention has been given to models of these events over the past couple of years. There are good reasons to believe that perhaps most Type Ia supernovae are the explosions of white dwarfs that have approached the Chandrasekhar mass, M_ch ~ 1.39 M_sun, and are disrupted by thermonuclear fusion of carbon and oxygen. However, the mechanism whereby such accreting carbon-oxygen white dwarfs explode continues to be uncertain. Recent progress in modeling Type Ia supernovae as well as several of the still open questions are addressed in this review. Although the main emphasis will be on studies of the explosion mechanism itself and on the related physical processes, including the physics of turbulent nuclear combustion in degenerate stars, we also discuss observational constraints.

  20. Country Scotland Type Single malt

    E-Print Network [OSTI]

    Izzard, Rob

    Country Scotland Type Single malt Distillery Aberfeldy Region Highlands Age 12 years ABV 40% Cask, the perfume characteristics become more spicy, with a bitter hint of Seville oranges in a decidedly dry finish. Drying citrus/oak with a gentle spiciness, held in a warm embrace of cigar smoke, and a little vanilla

  1. Country Scotland Type Single malt

    E-Print Network [OSTI]

    Izzard, Rob

    Country Scotland Type Single malt Distillery Jura Region Island Name Prophecy ABV 46 Cask French airport Notes Limited annual release: 10,000 bottles only. Nose Some peat, aniseed, oily, dry, pungent, dried hay, and anise round things out. Palate Smoky and dry, a muscular, powerful Jura with notes

  2. Automatic Utterance Type Detection Using Suprasegmental Features 

    E-Print Network [OSTI]

    Wright, Helen

    that different types of utterances have different suprasegmental characteristics. The categorisation of these utterance types is based on the theory of conversation games and consists of 12 move types (e.g. reply to a question, wh-question, acknowledgement...

  3. METROPOLIZACIN, TRANSFORMACIONES MERCANTILES Y GOBERNANZA EN LOS PASES EMERGENTES LAS GRANDES CIUDADES EN LAS MUTACIONES DEL COMERCIO MUNDIAL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    negocio bancario y, a pesar de la crisis, planea la apertura de numerosas nuevas tiendas en el año 2009 internacionalización de las grandes cadenas internacionales de comercio durante los años noventa, en particular en expansión de las cadenas internacionales de autoservicios en los países de la periferia. La siguiente

  4. Tridiagonal pairs of Krawtchouk type

    E-Print Network [OSTI]

    Ito, Tatsuro

    2007-01-01T23:59:59.000Z

    Let $K$ denote an algebraically closed field with characteristic 0 and let $V$ denote a vector space over $K$ with finite positive dimension. Let $A,A^*$ denote a tridiagonal pair on $V$ with diameter $d$. We say that $A,A^*$ has Krawtchouk type whenever the sequence $\\lbrace d-2i\\rbrace_{i=0}^d$ is a standard ordering of the eigenvalues of $A$ and a standard ordering of the eigenvalues of $A^*$. Assume $A,A^*$ has Krawtchouk type. We show that there exists a nondegenerate symmetric bilinear form $$ on $V$ such that $= $ and $= $ for $u,v\\in V$. We show that the following tridiagonal pairs are isomorphic: (i) $A,A^*$; (ii) $-A,-A^*$; (iii) $A^*,A$; (iv) $-A^*,-A$. We give a number of related results and conjectures.

  5. Abstract DNA-type systems

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor

    2005-12-22T23:59:59.000Z

    An abstract DNA-type system is defined by a set of nonlinear kinetic equations with polynomial nonlinearities that admit soliton solutions associated with helical geometry. The set of equations allows for two different Lax representations: A von Neumann form and a Darboux-covariant Lax pair. We explain why non-Kolmogorovian probability models occurring in soliton kinetics are naturally associated with chemical reactions. The most general known characterization of soliton kinetic equations is given and a class of explicit soliton solutions is discussed. Switching between open and closed states is a generic behaviour of the helices. The effect does not crucially depend on the order of nonlinearity (i.e. types of reactions), a fact that may explain why simplified models possess properties occuring in realistic systems. We explain also why fluctuations based on Darboux transformations will not destroy the dynamics but only switch between a finite number of helical structures.

  6. Niger Delta play types, Nigeria

    SciTech Connect (OSTI)

    Akinpelu, A.O. [Chevron Nigeria Limited, Lagos (Nigeria)

    1995-08-01T23:59:59.000Z

    Exploration databases can be more valuable when sorted by play type. Play specific databases provide a system to organize E & P data used in evaluating the range of values of parameters for reserve estimation and risk assessment. It is important both in focusing the knowledge base and in orienting research effort. A play in this context is any unique combination of trap, reservoir and source properties with the right dynamics of migration and preservation that results in hydrocarbon accumulation. This definitions helps us to discriminate the subtle differences found with these accumulation settings. About 20 play types were identified around the Niger Delta oil province in Nigeria. These are grouped into three parts: (1) The proven plays-constituting the bulk of exploration prospects in Nigeria today. (2) The unproven or semi-proven plays usually with some successes recorded in a few tries but where knowledge is still inadequate. (3) The unproven or analogous play concept. These are untested but geologically sound ideas which may or may not have been tried elsewhere. With classification and sub grouping of these play types into specific databases, intrinsic attributes and uniqueness of each of them with respect to the four major risk elements and the eight parameters for reserve estimation can be better understood.

  7. hal00270574, Testing Data Types Implementations from

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    is data type abstraction, testing a concrete implementation raises the issue of the gap betweenhal­00270574, version 1 ­ 6 Apr 2008 Testing Data Types Implementations from Algebraic Speci#12.legall@ibisc.univ-evry.fr Abstract. Algebraic speci#12;cations of data types provide a natural basis for testing data types

  8. XML Document XML Document Types and Validation

    E-Print Network [OSTI]

    Weber, Gregory D.

    XML Document Types and Validation IIM-I340 Objectives XML Document Types and Validation IIM-I340 April, 2010 #12;XML Document Types and Validation IIM-I340 Objectives Learning Objectives Understand: The need for validation Two ways to specify validity: Document Type Definitions (DTDs) XML Schemas #12;XML

  9. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, John A. (Los Alamos, NM)

    1983-01-01T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load.

  10. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, J.A.

    1982-01-20T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load.

  11. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, J.A.

    1983-10-11T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load. 7 figs.

  12. Hydrogen in Type Ic Supernovae?

    E-Print Network [OSTI]

    David Branch; David J. Jeffery; Timothy R. Young; E. Baron

    2006-05-09T23:59:59.000Z

    By definition, a Type Ic supernova (SN Ic) does not have conspicuous lines of hydrogen or helium in its optical spectrum. SNe Ic usually are modelled in terms of the gravitational collapse of bare carbon-oxygen cores. We consider the possibility that the spectra of ordinary (SN 1994I-like) SNe Ic have been misinterpreted, and that SNe Ic eject hydrogen. An absorption feature usually attributed to a blend of Si II 6355 and C II 6580 may be produced by H-alpha. If SN 1994I-like SNe Ic eject hydrogen, the possibility that hypernova (SN 1998bw-like) SNe Ic, some of which are associated with gamma-ray bursts, also eject hydrogen should be considered. The implications of hydrogen for SN Ic progenitors and explosion models are briefly discussed.

  13. Proof and Definition in Logic and Type Theory Proof and Definition in Logic and Type Theory

    E-Print Network [OSTI]

    Adams, Robin

    Proof and Definition in Logic and Type Theory Proof and Definition in Logic and Type Theory Robin questions. #12;Proof and Definition in Logic and Type Theory Definition and Proof Definition and proof -- but they are not in predicate logic or type theory. #12;Proof and Definition in Logic and Type Theory Methods of Definition

  14. Archive Reference Buildings by Building Type: Supermarket

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  15. Archive Reference Buildings by Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  16. New approaches for modeling type Ia supernovae

    E-Print Network [OSTI]

    Zingale, Michael; Almgren, Ann S.; Bell, John B.; Day, Marcus S.; Rendleman, Charles A.; Woosley, Stan

    2007-01-01T23:59:59.000Z

    ich and J. Stein. On the thermonuclear runaway in Type IaSmall-Scale Stability of Thermonuclear Flames o in Type IaS. E. Woosley. The thermonuclear explosion of chandrasekhar

  17. Double field theory of type II strings

    E-Print Network [OSTI]

    Hohm, Olaf

    We use double field theory to give a unified description of the low energy limits of type IIA and type IIB superstrings. The Ramond-Ramond potentials fit into spinor representations of the duality group O(D, D) and ...

  18. Ideal bandpasses for type Ia supernova cosmology

    E-Print Network [OSTI]

    Davis, Tamara M.; Schmidt, Brian P.; Kim, Alex G.

    2005-01-01T23:59:59.000Z

    diversity of type Ia Supernovae, in preparation. Kim, A.error in measurements of supernovae depends on a periodicABSTRACT To use type Ia supernovae as standard candles for

  19. Overload permit rules applicable to H-type and HS-type bridges

    E-Print Network [OSTI]

    Litchfield, Stephen Charles

    1994-01-01T23:59:59.000Z

    This document defines standards for issuing permits for overweight vehicles crossing standard H-type and HS-type Texas highway bridges. A general formula and a bridge specific formula have been developed for simple spans of both bridge types...

  20. Rates and progenitors of type Ia supernovae

    E-Print Network [OSTI]

    Wood-Vasey, William Michael

    2004-01-01T23:59:59.000Z

    Supernovae . . . . . . . . . . . . . . . . . . . .Supernovae Found 5.1 Introduction . . . . . . . . . . . .1.2 Non-Type Ia Supernovae . . . . . . . . . . . . . . . 1.3

  1. Fuzzy Typing for Document Management Alison HUETTNER

    E-Print Network [OSTI]

    Wu, Dekai

    Fuzzy Typing for Document Management Alison HUETTNER Clairvoyance Corporation 5301 Fifth Avenue method of document analysis and management, based on a combination of techniques from NLP and fuzzy logic typing for document management. The fuzzy typing approach is general in scope and can be applied to many

  2. Nucleosynthesis in Type Ia Supernovae

    E-Print Network [OSTI]

    K. Nomoto; K. Iwamoto; N. Nakasato; F. -K. Thielemann; F. Brachwitz; T. Tsujimoto; Y. Kubo; N. Kishimoto

    1997-06-03T23:59:59.000Z

    Among the major uncertainties involved in the Chandrasekhar mass models for Type Ia supernovae are the companion star of the accreting white dwarf (or the accretion rate that determines the carbon ignition density) and the flame speed after ignition. We present nucleosynthesis results from relatively slow deflagration (1.5 - 3 % of the sound speed) to constrain the rate of accretion from the companion star. Because of electron capture, a significant amount of neutron-rich species such as ^{54}Cr, ^{50}Ti, ^{58}Fe, ^{62}Ni, etc. are synthesized in the central region. To avoid the too large ratios of ^{54}Cr/^{56}Fe and ^{50}Ti/^{56}Fe, the central density of the white dwarf at thermonuclear runaway must be as low as \\ltsim 2 \\e9 \\gmc. Such a low central density can be realized by the accretion as fast as $\\dot M \\gtsim 1 \\times 10^{-7} M_\\odot yr^{-1}$. These rapidly accreting white dwarfs might correspond to the super-soft X-ray sources.

  3. Type Ia Supernova Carbon Footprints

    E-Print Network [OSTI]

    Thomas, R C; Aragon, C; Antilogus, P; Bailey, S; Baltay, C; Bongard, S; Buton, C; Canto, A; Childress, M; Chotard, N; Copin, Y; Fakhouri, H K; Gangler, E; Hsiao, E Y; Kerschhaggl, M; Kowalski, M; Loken, S; Nugent, P; Paech, K; Pain, R; Pecontal, E; Pereira, R; Perlmutter, S; Rabinowitz, D; Rigault, M; Rubin, D; Runge, K; Scalzo, R; Smadja, G; Tao, C; Weaver, B A; Wu, C; Brown, P J; Milne, P A

    2011-01-01T23:59:59.000Z

    We present convincing evidence of unburned carbon at photospheric velocities in new observations of 5 Type Ia supernovae (SNe Ia) obtained by the Nearby Supernova Factory. These SNe are identified by examining 346 spectra from 124 SNe obtained before +2.5 d relative to maximum. Detections are based on the presence of relatively strong C II 6580 absorption "notches" in multiple spectra of each SN, aided by automated fitting with the SYNAPPS code. Four of the 5 SNe in question are otherwise spectroscopically unremarkable, with ions and ejection velocities typical of SNe Ia, but spectra of the fifth exhibits high-velocity (v > 20,000 km/s) Si II and Ca II features. On the other hand, the light curve properties are preferentially grouped, strongly suggesting a connection between carbon-positivity and broad band light curve/color behavior: Three of the 5 have relatively narrow light curves but also blue colors, and a fourth may be a dust-reddened member of this family. Accounting for signal-to-noise and phase, we ...

  4. n-Linear Algebra of type II

    E-Print Network [OSTI]

    W. B. Vasantha Kandasamy; Florentin Smarandache

    2009-02-01T23:59:59.000Z

    This book is a continuation of the book n-linear algebra of type I and its applications. Most of the properties that could not be derived or defined for n-linear algebra of type I is made possible in this new structure: n-linear algebra of type II which is introduced in this book. In case of n-linear algebra of type II we are in a position to define linear functionals which is one of the marked difference between the n-vector spaces of type I and II. However all the applications mentioned in n-linear algebras of type I can be appropriately extended to n-linear algebras of type II. Another use of n-linear algebra (n-vector spaces) of type II is that when this structure is used in coding theory we can have different types of codes built over different finite fields whereas this is not possible in the case of n-vector spaces of type I. Finally in the case of n-vector spaces of type II, we can obtain n-eigen values from distinct fields; hence, the n-characteristic polynomials formed in them are in distinct different fields. An attractive feature of this book is that the authors have suggested 120 problems for the reader to pursue in order to understand this new notion. This book has three chapters. In the first chapter the notion of n-vector spaces of type II are introduced. This chapter gives over 50 theorems. Chapter two introduces the notion of n-inner product vector spaces of type II, n-bilinear forms and n-linear functionals. The final chapter suggests over a hundred problems. It is important that the reader is well-versed not only with linear algebra but also n-linear algebra of type I.

  5. STORAGE OPERATORS and -POSITIVE TYPES in TTR TYPE Karim NOUR 1

    E-Print Network [OSTI]

    Nour, Karim

    STORAGE OPERATORS and -POSITIVE TYPES in TTR TYPE SYSTEM Karim NOUR 1 LAMA - Equipe de Logique the notion of storage operator to simulate "call by value" in the "call by name" strategy. J.L. Krivine has for the storage operators in AF2 type system. This paper studies the -positive types (the universal second order

  6. Optimizing a Retailer's Containerized Import Supply Chain

    E-Print Network [OSTI]

    Davidson, Evan Taitz

    2012-01-01T23:59:59.000Z

    TL Rail 53 LA-Long Beach Harrisburg TL Rail 53 LA-Long BeachCharleston Charlotte Harrisburg Norfolk Baltimore NY-NJCharleston Charlotte Harrisburg Norfolk Baltimore NY-NJ

  7. April 15, 2004 To all retail providers

    E-Print Network [OSTI]

    .4% -Biomass & waste 2.0% -Geothermal 5.0% -Small hydroelectric 1.9% -Solar 0.3% -Wind 1.2% Coal 21.3% Large Eligible Renewable 8.1% -Biomass & waste 2.0% -Geothermal 3.3% -Small hydroelectric 2.3% -Solar 0.0% -Wind Commission calculates Net System Power by taking all of the generation consumed by customers in California

  8. May 13, 2003 To all retail providers

    E-Print Network [OSTI]

    .7% -Small hydroelectric 1.9% -Solar 0.0% -Wind 0.5% Coal 15.4% Large hydroelectric 22.5% Natural gas 42.9% -Biomass & waste 2.6% -Geothermal 5.1% -Small hydroelectric 1.6% -Solar 0.3% -Wind 1.3% Coal 20.0% Large Net System Power by taking all of the generation consumed by customers in California, which we have

  9. A Labor Measurement Structure for Retail Operations

    E-Print Network [OSTI]

    VonAchen, James D.

    2006-12-15T23:59:59.000Z

    ......................................................................25 5.2.4 Personal, Fatigue & Delay........................................................26 5.2.5 Occurrences...............................................................................26... between a time study, pre-determined time systems, standard time data, and work sampling. Each topic defines which work measurement method to use for each situation at Karls. This section also goes into great detail on how to develop personal, fatigue...

  10. Three Essays on Retail Price Dynamics

    E-Print Network [OSTI]

    Elberg, Andres

    2010-01-01T23:59:59.000Z

    emergence of two new players, SMU and Supermercados del Sur.Cencosud, with 29.3 percent; SMU, with about 16 percent;

  11. Three Essays on Retail Price Dynamics

    E-Print Network [OSTI]

    Elberg, Andres

    2010-01-01T23:59:59.000Z

    Dolca Dolca Bonafont Coca-Cola Pepsi Kraft Kraft McCormickinclude "350 ml. can of Coca-Cola" and "170 grs. box ofand "150 ml. can of Coca-Cola." 4 The products are mostly

  12. Optimizing a Retailer's Containerized Import Supply Chain

    E-Print Network [OSTI]

    Davidson, Evan Taitz

    2012-01-01T23:59:59.000Z

    of Philosophy in Engineering – Industrial Engineering andof Philosophy in Engineering – Industrial Engineering andmanagement. Industrial & Engineering Chemistry Research 47 (

  13. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

    Data Collection for Demand-side Management for QualifyingPrepared by Demand-side Management Task Force of the

  14. Quality of vacuum packaged lamb retail cuts

    E-Print Network [OSTI]

    Wanstedt, Kristen Gae

    1982-01-01T23:59:59.000Z

    ) provision of an ideal environment for the ag1ng of meat. Materials wh1ch prevent the rapid exchange of gases result in longer storage 11fe of meat than is obta1ned by packaging with more permeable materials (Kraft and Ayres, 1952). Jaye et al. (1962... storage for up to 35 days. Hanna et al. (1976) reported that these coryneform bacteria were species of ~Cba t i d a o hath i ~th rmos ha t m. B. ~th rmos hactu has been reported to be a major constituent of the bacterial flora of vacuum packaged...

  15. New York Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOE Project Taps HPCNew User and Data Analytics951 3.014

  16. No. 2 Distillate Prices - Through Retail Outlets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 2013 Next1.878 2.358 - -53

  17. April 1, 2013 Dear Prospective Retail Tenant,

    E-Print Network [OSTI]

    Yamamoto, Keith

    . UCOP Sustainability Guidelines 8. San Francisco Green Business Program Standards 9. Smart Choice Coast Farmer's Market* Subway Walgreens Pharmacy You See Flowers Golden 1 Branch & ATM Bank of America Francisco, the University of California, San Francisco includes the 107-acre Parnassus campus that is home

  18. Credit Price Optimisation within Retail Banking

    E-Print Network [OSTI]

    2013-10-25T23:59:59.000Z

    to a more flexible demand-based pricing strategy, see Skugge (2011). ... Ferguson (2007) bid-response models are presented for customised .... problem, the fundamental building blocks of the credit price optimisation problem is set out below.

  19. Retail Demand Response in Southwest Power Pool

    E-Print Network [OSTI]

    Bharvirkar, Ranjit

    2009-01-01T23:59:59.000Z

    CBL CPP DAM DLC DOE DR EIA EIS EDR EEA FERC HP IOU IRC ISOEnergy Imbalance Services (EIS) market or show cause for notare various aspects of the EIS Market that can currently

  20. Sears Integrated Retail Strategy October 2013

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Living Refrigeration Air Conditioning Cooking & Microwave Dish Laundry Water Heaters Water Softeners Reverse Osmosis Water Pump Water Treatment Garage Recreation Furniture Bedding Tool Storage Power Bench

  1. Washington Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012 MEMORANDUM FOR: JOHN147 3.217

  2. 2013 Retail Power Marketers Sales- Commercial

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E2003Commercial (Data from

  3. 2013 Retail Power Marketers Sales- Industrial

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E2003Commercial (Data

  4. 2013 Retail Power Marketers Sales- Residential

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E2003Commercial

  5. 2013 Retail Power Marketers Sales- Total

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E2003CommercialTotal (Data

  6. 2013 Retail Power Marketers Sales- Transportation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E2003CommercialTotal

  7. Retail Demand Response in Southwest Power Pool

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingof EnhancedRestructuring ourU.S. Department

  8. Retail Replacement Lamps | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingof EnhancedRestructuring ourU.S.CALiPER Testing »

  9. California Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S. DEPARTMENTshort0 U.S.4: OilConsumption Estimates562

  10. Chicago Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S. DEPARTMENTshort0 U.S.4:4 © OECD/IEA 2014 Antoine295

  11. Cleveland Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S. DEPARTMENTshort0 U.S.4:4 © OECD/IEA 2014Edward

  12. Colorado Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S. DEPARTMENTshort0 U.S.4:4 © OECD/IEAMethane15 2.721

  13. Denver Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S. DEPARTMENTshort05) Energy R*y IEE4(82)6)kDemand and696

  14. Florida Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5ValuesJune 201045795

  15. Houston Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarketsNov-14 Dec-14Has DrivingJune73-92)626

  16. Los Angeles Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarketsNov-14Biomass feedstocks and

  17. Massachusetts Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration (EIA) Archive(STEO)824 2.839

  18. Miami Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration (EIA)011 3.012 2.997 3.001

  19. 2013 Utility Bundled Retail Sales- Commercial

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand8)Commercial (Data from forms

  20. 2013 Utility Bundled Retail Sales- Industrial

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand8)Commercial (Data from

  1. 2013 Utility Bundled Retail Sales- Residential

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand8)Commercial (Data

  2. 2013 Utility Bundled Retail Sales- Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand8)Commercial (DataTotal (Data

  3. 2013 Utility Bundled Retail Sales- Transportation

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand8)Commercial (DataTotal

  4. Seattle Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebook TwitterSearch-Comments Sign In About | CareersAverageSeating

  5. Retail Prices for Gasoline, All Grades

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April 25, 20137a.06

  6. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14 EarlyNatural

  7. Table 9. Retail electricity sales statistics, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14

  8. Motor Gasoline Sales Through Retail Outlets Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of FossilFoot) Year JanCubicXIV. MoroccoMotor894

  9. Ohio Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest and Evaluation | NationalNovember 11, 2013, 4:30pm

  10. PADD 4 Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize832 2.860 2.864 2.867 2.882 2.889

  11. PADD 5 Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize832 2.860 2.864 2.867 2.882 2.8893.441

  12. San Francisco Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResourcesjobsJuly throughRSpectrometer (AMS)619

  13. Boston Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAge Refining Air1,D O E

  14. Minnesota Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24,High824 2.839 2.8352.747 2.759 2.699

  15. Texas Gasoline and Diesel Retail Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energy Energy Information32.Carbon705 2.672 2.638

  16. Price of Motor Gasoline Through Retail Outlets

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a evie _ =_ In7, 2011 atJohnPrices, Sales Volumes &

  17. Retail Prices for Regular Gasoline - Conventional Areas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-Ray Scattering of0October 17,Results842.668

  18. Retail Prices for Regular Gasoline - Reformulated Areas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-Ray Scattering of0October

  19. Demand Response from Day-Ahead Hourly Pricing for Large Customers

    SciTech Connect (OSTI)

    Hopper, Nicole; Goldman, Charles; Neenan, Bernie

    2006-04-15T23:59:59.000Z

    Day-ahead default-service RTP for large customers not only improves the linkage between wholesale and retail markets, but also promotes the development of retail competition. The default service sets a standard for competitive alternatives and its structure shapes the types of retail market products that develop. (author)

  20. Curvature invariants in type-III spacetimes

    E-Print Network [OSTI]

    V. Pravda

    1999-08-17T23:59:59.000Z

    The results of paper [1] are generalized for vacuum type-III solutions with, in general, a non-vanishing cosmological constant Lambda. It is shown that all curvature invariants containing derivatives of the Weyl tensor vanish if a type-III spacetime admits a non-expanding and non-twisting null geodesic congruence. A non-vanishing curvature invariant containing first derivatives of the Weyl tensor is found in the case of type-III spacetime with expansion or twist.

  1. Turbulent Combustion in Type Ia Supernova Models

    E-Print Network [OSTI]

    F. K. Roepke; W. Hillebrandt

    2006-09-15T23:59:59.000Z

    We review the astrophysical modeling of type Ia supernova explosions and describe numerical methods to implement numerical simulations of these events. Some results of such simulations are discussed.

  2. Convolution type operators on locally compact groups

    E-Print Network [OSTI]

    Shtein--~erg, Convolution Type Operators on Locally Compact Groups [in Russian],. Manuscript Deposited in the All-Union Institute of Scientific and Technical ...

  3. Type B Accident Investigation, Subcontractor Employee Personal...

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

    February 18, 2003, at the East Tennessee Technology Park, Oak Ridge, Tennessee Type B Accident Investigation, Subcontractor Employee Personal Protective Equipment Ignition Incident...

  4. Report Title: The Fossil Fuel Industry in New Mexico: A Comprehensive Impact Analysis Type of Report: Technical Report

    E-Print Network [OSTI]

    Johnson, Eric E.

    Distribution and Pipeline Transportation of Natural Gas 25 Coal Mining 29 Electricity Generated with Fossil Taxes From Oil and Gas Extraction in New Mexico 16 8 Employment in NAICS 3241 (Petroleum and Coal 10 Oil and Gas Extraction 12 Oil and Gas Refining 17 Retail Gasoline Stations 19 Natural Gas

  5. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  6. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  7. Repairing Type Errors in Functional Programs 

    E-Print Network [OSTI]

    McAdam, Bruce J

    Type systems for programming languages can be used by compilers to reject programs which are found to be unsound and which may, therefore, fail to execute successfully. When a program is rejected the programmer must repair it so that it can be type...

  8. Multiparty Asynchronous Session Types Kohei Honda

    E-Print Network [OSTI]

    Gay, Simon

    Multiparty Asynchronous Session Types Kohei Honda Queen Mary, University of London kohei 2005; Honda et al. 1998; Bonelli and Compagnoni 2008), higher- order processes (Mostrous and Yoshida. 2006, 2007; WS-CDL; Sparkes 2006; Honda et al. 2007a). A basic observation underlying session types

  9. Testing Type Class Laws Johan Jeuring

    E-Print Network [OSTI]

    Utrecht, Universiteit

    ]. Instances of Monad should satisfy the following laws: return a>>=k k a m >>=return m m >>=(x k x>>=h) (m>>=k)>>=hTesting Type Class Laws Johan Jeuring Patrik Jansson Cl´audio Amaral Technical Report UU-CS-2012.089 3508 TB Utrecht The Netherlands #12;Testing Type Class Laws Johan Jeuring Utrecht University and Open

  10. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  11. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  12. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  13. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  14. WASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED,

    E-Print Network [OSTI]

    Minimization/ Volume Reduction 0 Solid Radioactive Waste $2,168 $0 $2,168 Vial Crusher for glass vialsWASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED, REUSED, RECYCLED OR CONSERVED IN 2004 WASTE TYPE DESCRIPTION DETAILS * Automotive Waste Substitution 510 Hazardous Waste $1,020 $1,000 $1,000 Aqueous Solvent

  15. WASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED,

    E-Print Network [OSTI]

    labeled chemicals Waste Minimization/ Volume Reduction 0 Solid Radioactive Waste $2,168 $3,795 $2,168 VialWASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED, REUSED, RECYCLED OR CONSERVED IN 2003 WASTE TYPE DESCRIPTION DETAILS * Radioactive Waste Source Reduction 1,500 Radioactive Waste $6,000 $2,500 $6,000 Waste

  16. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  17. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  18. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  19. Project Name Project Number Tagging Type

    E-Print Network [OSTI]

    Project Name Project Number Primary Tagging Type Secondary Tagging Type Fish Species Tagging/ Secondary Legal Driver (BiOp, MOA, Accord, etc.) Tagging Purpose Funded Entity Tagging Location Retrieval CWT Recovery Project 2010-036-00 CWT PIT Chinook, coho retrieval, analysis, address PSMFC sampling

  20. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  1. Serum markers for type II diabetes mellitus

    DOE Patents [OSTI]

    Metz, Thomas O; Qian, Wei-Jun; Jacobs, Jon M; Polpitiya, Ashoka D; Camp, II, David G; Smith, Richard D

    2014-03-18T23:59:59.000Z

    A method for identifying persons with increased risk of developing type 2 diabetes mellitus utilizing selected biomarkers described hereafter either alone or in combination. The present invention allows for broad based, reliable, screening of large population bases and provides other advantages, including the formulation of effective strategies for characterizing, archiving, and contrasting data from multiple sample types under varying conditions.

  2. Names and Binding in Type Theory 

    E-Print Network [OSTI]

    Schöpp, Ulrich

    Names and name-binding are useful concepts in the theory and practice of formal systems. In this thesis we study them in the context of dependent type theory. We propose a novel dependent type theory with primitives for the explicit handling...

  3. ROOM AIR CONDITIONER WALL MOUNTED type

    E-Print Network [OSTI]

    Kleinfeld, David

    SPLIT TYPE ROOM AIR CONDITIONER WALL MOUNTED type Reciprocating Compressor Models Indoor unit.6 - 11.4 ----- MOISTURE REMOVAL ( / hr) 2.0 1.8 2.7 2.7 4.3 3 AIR CIRCULATION - Hi (m / hr) 800 800 1

  4. Interannual Variations of Arctic Cloud Types

    E-Print Network [OSTI]

    Hochberg, Michael

    Sciences #12;Changes in Arctic Climate What is the role of cloud cover in Arctic climate change? What is the Cloud Radiative Effect (CRE) in the Arctic? #12;CRE depends on season, cloud type CRE ­ whether clouds specifically chosen to include nighttime obs Total cloud cover and nine cloud types: - High cloud (cirriform

  5. 3, 46714700, 2003 Different type of

    E-Print Network [OSTI]

    Boyer, Edmond

    of the effect of different type of aerosols on UV-B radiation from measurements during EARLINET D. S. Balis1 , V properties and changes in cloud cover (Zerefos et al., 2001; WMO25 2003). Due to the combined involvementACPD 3, 4671­4700, 2003 Different type of aerosols and UV-B radiation D. S. Balis et al. Title Page

  6. Fully Reflexive Intensional Type Analysis in Type Erasure Semantics # Bratin Saha Valery Trifonov Zhong Shao

    E-Print Network [OSTI]

    Trifonov, Valery

    Fully Reflexive Intensional Type Analysis in Type Erasure Semantics # Bratin Saha Valery Trifonov Zhong Shao Department of Computer Science Yale University {saha,trifonov,shao}@cs.yale.edu Abstract

  7. Improving Type Ia Supernova Standard Candle Cosmology Measurements Using Observations of Early-Type Host Galaxies

    E-Print Network [OSTI]

    Meyers, Joshua Evan

    2012-01-01T23:59:59.000Z

    Host Galaxies of Type Ia Supernovae Introduction SN Ia Hosts109 C HAPTER 1 Cosmology, Type Ia Supernovae and HostGalaxies Observations of supernovae have played a role in

  8. Theoretical cosmic Type Ia supernova rates

    E-Print Network [OSTI]

    R. Valiante; F. Matteucci; S. Recchi; F. Calura

    2009-03-16T23:59:59.000Z

    The aim of this work is the computation of the cosmic Type Ia supernova rates at very high redshifts (z>2). We adopt various progenitor models in order to predict the number of explosions in different scenarios for galaxy formation and to check whether it is possible to select the best delay time distribution model, on the basis of the available observations of Type Ia supernovae. We also computed the Type Ia supernova rate in typical elliptical galaxies of different initial luminous masses and the total amount of iron produced by Type Ia supernovae in each case. It emerges that: it is not easy to select the best delay time distribution scenario from the observational data and this is because the cosmic star formation rate dominates over the distribution function of the delay times; the monolithic collapse scenario predicts an increasing trend of the SN Ia rate at high redshifts whereas the predicted rate in the hierarchical scheme drops dramatically at high redshift; for the elliptical galaxies we note that the predicted maximum of the Type Ia supernova rate depends on the initial galactic mass. The maximum occurs earlier (at about 0.3 Gyr) in the most massive ellipticals, as a consequence of downsizing in star formation. We find that different delay time distributions predict different relations between the Type Ia supernova rate per unit mass at the present time and the color of the parent galaxies and that bluer ellipticals present higher supernova Type Ia rates at the present time.

  9. Data mining for structure type prediction

    E-Print Network [OSTI]

    Tibbetts, Kevin (Kevin Joseph)

    2004-01-01T23:59:59.000Z

    Determining the stable structure types of an alloy is critical to determining many properties of that material. This can be done through experiment or computation. Both methods can be expensive and time consuming. Computational ...

  10. CHARACTERIZATION OF SIALON-TYPE MATERIALS

    E-Print Network [OSTI]

    Spencer, P.N.

    2010-01-01T23:59:59.000Z

    an Economical Refractory Material", Industrial Heating, 50-of Sialon-Type Materials Newman Spencer Lawrence BerkeleyEXPERIHENTAL PROCEDURES A. The Material L Ml H2 M3 and M4 B.

  11. Operations and Maintenance for Major Equipment Types

    Broader source: Energy.gov [DOE]

    Equipment lies at the heart of all operations and maintenance (O&M) activities. This equipment varies greatly across the Federal sector in age, size, type, model, condition, etc.

  12. Renewable Energy Opportunities by Renovation Type

    Broader source: Energy.gov [DOE]

    Renewable energy opportunities should be considered and identified in the earliest stages of Federal project planning and the team should assess the renewable energy options based on the type of...

  13. Nested Refinement Types for JavaScript /

    E-Print Network [OSTI]

    Chugh, Ravi

    2013-01-01T23:59:59.000Z

    Semantic Sub- typing with an SMT Solver. In InternationalNikolaj Bjørner. Z3: An Efficient SMT solver. In Tools andBy carefully coordinating SMT-based logical implication with

  14. Genomic analysis of control of cell type

    E-Print Network [OSTI]

    Frampton, Garrett M

    2011-01-01T23:59:59.000Z

    In mammalian development, a single fertilized egg grows into a complex organism, comprised of organs and tissues made up of hundreds of different specialized cell types. All of these cells contain the same genome, but ...

  15. The BMW Algebras of Type Dn

    E-Print Network [OSTI]

    Cohen, Arjeh M; Wales, David B

    2007-01-01T23:59:59.000Z

    The Birman-Murakami-Wenzl algebra (BMW algebra) of type Dn is shown to be free over the quotient of a polynomial algebra of dimension (2^n+1)n!!-(2^(n-1)+1)n! where n!! is the product of the first n odd integers. The Brauer algebra of type Dn is a homomorphic ring image and is also semisimple and free of the same dimesion, but over a different ring. A rewrite system for the Brauer algebra is used in upper bounding the dimension of the BMW algebra. As a consequence or our results, the generalized Temperley-Lieb algebra of type Dn is a subalgebra of the BMW algebra of the same type.

  16. Trace element geochemistry of ordinary chondrite chondrules: the type I/type II chondrule dichotomy

    E-Print Network [OSTI]

    Jacquet, Emmanuel; Gounelle, Matthieu

    2015-01-01T23:59:59.000Z

    We report trace element concentrations of silicate phases in chondrules from LL3 ordinary chondrites Bishunpur and Semarkona. Results are similar to previously reported data for carbonaceous chondrites, with rare earth element (REE) concentrations increasing in the sequence olivine ~ 10 K/h) than type I chondrules. Appreciable Na concentrations (3-221 ppm) are measured in olivine from both chondrule types; type II chondrules seem to have behaved as closed systems, which may require chondrule formation in the vicinity of protoplanets or planetesimals. At any rate, higher solid concentrations in type II chondrule forming regions may explain the higher oxygen fugacities they record compared to type I chondrules. Type I and type II chondrules formed in different environments and the correlation between high solid concentrations and/or oxygen fugacities with rapid cooling rates is a key constraint that chondrule formation models must account for.

  17. Detection of interlayer communication using type curves

    E-Print Network [OSTI]

    Tiefenthal, Sven A.

    1988-01-01T23:59:59.000Z

    with the adjacent formation through type curve analysis. The response caused by the essentially infinite acting producing zone alone can be filtered out using desuperposition. The remaining response is the "deviation function" caused by the leaking fault. Type.... TABLE OF CONTENTS Page ABSTRACT. ACKNOWLEDGEMENTS TABLE OF CONTENTS. LIST OF TABLES . V1 . viii LIST OF FIGURES. . . . . IX INTRODUCTION BACKGROUND THEORY Infinite Acting Reservoir. Linear Discontinuities. Fault Parameterization. . . . 8 9...

  18. A threshold type Cerenkov radiation detector

    E-Print Network [OSTI]

    Winningham, John David

    1965-01-01T23:59:59.000Z

    A THRESHOLD TYPE CERENKOV RADIATION DETECTOR A Thesis By JOHN DAVID WINNINGHAN Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree of NASTER OF SCIENCE May, 1965 Ha/or Sub...)ect: Physics A THRESHOLD TYPE CERENKOV RADIATION DETECTOR A Thesis By JOHN DAVID WINNINGHAM Approved as to style and content by: 3 v (Chairman of Committee) j' ) Heqd of Department) (Member) (Member) May, 1965 i. '. 11648 ACKNOWLEDGEIKNTS I wish...

  19. SN Typing for the SDSS SN Survey

    SciTech Connect (OSTI)

    Rivers, Elizabeth S.; /Wellesley Coll. /SLAC

    2005-12-15T23:59:59.000Z

    In the fall of 2004 the Sloan Digital Sky Survey (SDSS) 2.5m telescope scanned the southern equatorial stripe for approximately 20 nights over the space of two months. Light curves for over four dozen supernovae (SNe) were collected over time using five colored filters ugriz that together had a range of approximately 3000{angstrom} to 10500{angstrom}. 22 SNe were spectroscopically confirmed with follow-up observation. Using the data obtained in the Fall 2004 campaign, preparations are now being made for the Supernova Survey of the SDSS II, a three-year extension of the original project. One main goal of the Supernova Survey will be to identify and study type Ia SNe of up to redshift {approx}0.4, the intermediate ''redshift desert'', as well as enabling further study of other types of SNe including type 1b/c and peculiar SNe. Most of the SNe found will not have spectra taken, due to time and cost constraints. Thus it would be advantageous to be able to robustly type SNe solely from the light curves obtained by the SDSS telescope prior to, or even without ever obtaining a spectrum. Using light curves of well-observed SNe templates were constructed for comparison with unknown SNe in order to photometrically type them.

  20. Static Checking of Dynamically Generated Queries in Database Applications Carl Gould, Zhendong Su, and Premkumar Devanbu

    E-Print Network [OSTI]

    Devanbu, Prem

    , WHOLESALE, and TYPE, among others. The RETAIL and WHOLESALE columns are both of type in- teger, indicatingBound != null) { query += "WHOLESALE > " + lowerBound + " AND "; } query += "TYPE IN (" + get to be executed is: SELECT '$' || (RETAIL/100) FROM INVENTORY WHERE WHOLESALE > 595 AND TYPE IN (SELECT TY