Sample records for on-peak daily wholesale

  1. FirstChoice Wholesale Investments

    E-Print Network [OSTI]

    Peters, Richard

    FirstChoice Wholesale Investments Product Disclosure Statement Including FirstRate Wholesale Saver Colonial First State 1 2 Benefits of investing in FirstChoice Wholesale Investments 1 3 How FirstChoice Wholesale Investments works 2 4 Risks of investing 2 5 Fees and other costs 6 6 How managed investment

  2. Measuring Market Inefficiencies in California's Restructured Wholesale Electricity Market

    E-Print Network [OSTI]

    Borenstein, Severin; Bushnell, Jim; Wolak, Frank A.

    2002-01-01T23:59:59.000Z

    Behavior In Califor- nia's Wholesale Electricity Marketin deregu- lated wholesale electricity markets," RANDin California’s Restructured Wholesale Electricity Market

  3. Diagnosing Market Power in California's Deregulated Wholesale Electricity Market

    E-Print Network [OSTI]

    Borenstein, Severin; Bushnell, James; Wolak, Frank

    1999-01-01T23:59:59.000Z

    in dereg- ulated wholesale electricity markets," RANDin California's Deregulated Wholesale Electricity MarketEffective competition in wholesale electricity markets is

  4. Dynamic Testing of Wholesale Power Market Designs

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework1 Junjie Sun ­ the Wholesale Power Market Platform (WPMP) ­ for common adoption by all U.S. wholesale power markets. Versions development and open-source implementation (in Java) of a computational wholesale power market organized

  5. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    Regulation and Arbitrage in Wholesale Gasoline Markets,Content Regulation and Wholesale Gasoline Prices JenniferCONTENT REGULATION AND WHOLESALE GASOLINE PRICES by Jennifer

  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. Understanding Competitive Pricing and Market Power in Wholesale Electricity Markets

    E-Print Network [OSTI]

    Borenstein, Severin

    1999-01-01T23:59:59.000Z

    and Market Power in Wholesale Electricity Markets SeverinM a r k e t Power i n Wholesale Electricity Markets Severinthe competitiveness of the wholesale electricity market i n

  8. 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...

  9. The Value of Distributed Generation and CHP Resources in Wholesale...

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

    The Value of Distributed Generation and CHP Resources in Wholesale Power Markets, September 2005 The Value of Distributed Generation and CHP Resources in Wholesale Power Markets,...

  10. Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules Leigh Tesfatsion, Member to U.S. restructured wholesale power markets, i.e., centrally-administered wholesale power markets and illustrated. Complicating factors specific to wholesale power markets are clarified, and recent advances

  11. Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power

    E-Print Network [OSTI]

    Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price as traded on the wholesale, short-term (spot) market at the Mid-Columbia trading hub. This price represents noted. BASE CASE FORECAST The base case wholesale electricity price forecast uses the Council's medium

  12. Exemption from Wholesale Energy Transaction Tax (Montana)

    Broader source: Energy.gov [DOE]

    Electricity from wind generation on state lands is exempt from the wholesale energy transaction tax of $0.00015/kWh transmitted. Electricity from any source, including renewables, that is generated...

  13. 2012 Wholesale Power and Transmission Rate

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

    the meaning given such term in section 3.3.5. "COU Parties' PF Rate" means any BPA wholesale power rate for service to COUs' "general requirements" (as defined in section...

  14. Predicting market power in wholesale electricity markets

    E-Print Network [OSTI]

    Newbery, David

    Predicting market power in wholesale electricity markets#3; David M Newbery Faculty of Economics, University of Cambridge August 26, 2008 Abstract The traditional measure of market power is the HHI, which gives implausible results given the low... that should give a more reliable relationship. 1 Introduction Electricity wholesale markets in Europe are typically very concentrated, and in most Continental countries the two largest generation companies provide more than 50% of domestic supply. Where...

  15. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    in Demand Response for Wholesale Ancillary Services Silain Demand Response for Wholesale Ancillary Services Silasuccessfully in the wholesale non- spinning ancillary

  16. An Empirical Investigation of the Welfare Effects of Banning Wholesale Price Discrimination

    E-Print Network [OSTI]

    Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    legislation, which bans wholesale price discrimination, in awhere manufacturers wholesale price discriminate amongNo. 92-466 (1993); for wholesale pharmaceutics see http://

  17. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    3. Price Variations of Wholesale Electricity Markets for NYC4. Price Variations of Wholesale Electricity Markets for NYCDemand in New York Wholesale Electricity Market using

  18. Measuring Unilateral Market Power in Wholesale Electricity Markets: The California Market 1998 - 2000

    E-Print Network [OSTI]

    Wolak, Frank

    2003-01-01T23:59:59.000Z

    in California’s Restructured Wholesale Electricity Market,”Remedies for California Wholesale Electric Markets (IssuedUnilateral Market Power in Wholesale Electricity Markets:

  19. Wholesale marginal prices in competitive generation markets

    SciTech Connect (OSTI)

    Perez-Arriaga, I.J. [National Electric Regulatory Commission, Madrid (Spain)] [National Electric Regulatory Commission, Madrid (Spain); Meseguer, C. [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica] [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica

    1997-05-01T23:59:59.000Z

    Wholesale marginal electricity prices are being used in several actual competitive generation markets worldwide, both to remunerate generators and to charge consumption. These prices must account not only for energy, but also for guarantee of supply in the long and the short term. This paper: (a) provides a sound conceptual and quantitative foundation for wholesale pricing based on generation services, where any existing restrictions in operation or planning in real power markets are accounted for, (b) clearly establishes the relationship between short term marginal costs, long term marginal costs and optimal wholesale electricity prices, and (c) identifies the reasons for mismatches in cost recovery with marginal generation prices. The theoretical results are verified with a detailed realistic power system model.

  20. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat Carnegie of wholesale electricity soared to an unprecedented $7,500 per megawatt-hour (MwH) (see FERC, 1998). Models

  1. Santee-3-E Wholesale Power Rate Schedule | Department of Energy

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

    Santee-3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public...

  2. Financial Bilateral Contract Negotiation in Wholesale Electricity Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Financial Bilateral Contract Negotiation in Wholesale Electricity Markets Using Nash Bargaining and a load-serving entity in a wholesale electric power market with congestion managed by locational marginal and price biases. Index Terms--Wholesale electricity market, financial bilateral contract, negotiation

  3. REVIEW OF MAE RULES FOR THE BRAZILIAN WHOLESALE ELECTRICITY MARKET

    E-Print Network [OSTI]

    Oren, Shmuel S.

    REVIEW OF MAE RULES FOR THE BRAZILIAN WHOLESALE ELECTRICITY MARKET Prepared by Shmuel S. Oren, Ph MAE rules for the Brazilian wholesale electricity market as described in the document distributed and calculation of capacity payments to generators, which are augmented on a prorata basis to the wholesale

  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. Coordinating a Constrained Channel with Linear Wholesale Price Contracts.

    E-Print Network [OSTI]

    Tsitsiklis, John

    Coordinating a Constrained Channel with Linear Wholesale Price Contracts. Navid Sabbaghi, Yossi, there is a set of linear wholesale price contracts that coordinates the channel while allowing the supplier-supplier/one-newsvendor channel configuration (with each supplier selling a unique product). We analyze how this set of wholesale

  6. Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets Qun Zhou--In current restructured wholesale power markets, the short length of time series for prices makes are fitted between D&O and wholesale power prices in order to obtain price scenarios for a specified time

  7. 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

  8. Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets Haifeng Liu restructured wholesale power markets, the detailed derivation of LMPs as actually used in industry practice Operator (MISO). Keywords: Locational marginal pricing, wholesale power market, AC optimal power flow, DC

  9. A Study of Central Auction Based Wholesale Electricity Markets

    E-Print Network [OSTI]

    Gatti, Nicola

    A Study of Central Auction Based Wholesale Electricity Markets S. Ceppi and N. Gatti Dipartimento is the automation of such markets. In particular, we focus our attention on wholesale elec- tricity markets based works presented in the literature model wholesale markets as oligopolies, neglecting thus the specific

  10. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat, Department the price of wholesale electricity soared to an unprecedented level of $7,500 per MwH (see [14-order threshold autoregressive model (TAR(1)) for wholesale electricity prices. (For discussion of TAR models, see

  11. CSEM WP 114 Measuring Unilateral Market Power in Wholesale

    E-Print Network [OSTI]

    California at Berkeley. University of

    CSEM WP 114 Measuring Unilateral Market Power in Wholesale Electricity Markets: The California, Suite 5 Berkeley, California 94720-5180 www.ucei.org #12;Measuring Unilateral Market Power in Wholesale electricity suppliers in the California had to exercise market power in the state's wholesale market during

  12. Dutch Wholesale Company Highway 57 North Elnora, IN 47529

    E-Print Network [OSTI]

    2011 Dutch Wholesale Company Highway 57 North · Elnora, IN 47529 TOLL FREE: (800) 472-9178 · FAX States only. J enclosed is a check payable to Dutch Wholesale Company J J please send payment with your! Thank You! Dutch Wholesale Company Highway 57 North Elnora, IN 47529 Phone: (800) 472-9178 Fax: (812

  13. Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India

    E-Print Network [OSTI]

    Phadke, Amol

    2007-01-01T23:59:59.000Z

    analysis indicates that wholesale competition could be oneCSEM WP 152 Feasibility of Wholesale Electricity CompetitionFeasibility of Wholesale Electricity Competition in a

  14. Empirical Evidence on the Role of Non Linear Wholesale Pricing and Vertical Restraints on Cost Pass-Through

    E-Print Network [OSTI]

    Celine, Bonnet; Dubois, Pierre; Villas-Boas, Sofia B.

    2009-01-01T23:59:59.000Z

    Welfare E?ects of Banning Wholesale Price Discrimination,”non linear contracts when wholesale price discrimination ison the role of non- linear wholesale pricing and vertical

  15. Customer reponse to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York

    E-Print Network [OSTI]

    2004-01-01T23:59:59.000Z

    Response to Day-ahead Wholesale Market Electricity Prices:Response to Day-ahead Wholesale Market Electricity Prices:Mitigating Price Spikes in Wholesale Markets through Market-

  16. The potential impacts of a competitive wholesale market in the midwest: A preliminary examination of centralized dispatch

    E-Print Network [OSTI]

    Lesieutre, Bernard C.; Bartholomew, Emily; Eto, Joseph H.; Hale, Douglas; Luong, Thanh

    2004-01-01T23:59:59.000Z

    Impacts of a Competitive Wholesale Market in the Midwest: AImpacts of a Competitive Wholesale Market in the Midwest: AImpacts of a Competitive Wholesale Market in the Midwest: A

  17. Texas Wholesale Market for Christmas Trees.

    E-Print Network [OSTI]

    Sorensen, H. B. (Harold B.); Smith, W. A.

    1964-01-01T23:59:59.000Z

    Wholesale Market for 7 :. @EXAS A&M UNIVERSITY . TEXAS AGRICULTURAL EXPERIMENT STATION R. E. Patterson, Director, College Station, Texas trees might capture as much as one-half of the more than 2 million Texas evergreen tree market. Wl...~olesale Christmas tree markets for Dallas, Houston and San Antonio were investigated during the 1962 Holiday Season to determine potential outlets for locally grown trees. The investigation was limited to species which could be grown in at least a part...

  18. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    AB 32 and its Impact on Wholesale Electricity Markets JamesAB 32 and its Impact on Wholesale Electricity Markets Jamesand performance of the wholesale electricity market. One key

  19. Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price Forecast

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price.................................................................................................................................. 27 INTRODUCTION The Council prepares and periodically updates a 20-year forecast of wholesale to forecast wholesale power prices. AURORAxmp® provides the ability to inco

  20. Optimal Static Hedging of Volumetric Risk in a Competitive Wholesale Electricity Market

    E-Print Network [OSTI]

    Optimal Static Hedging of Volumetric Risk in a Competitive Wholesale Electricity Market Yumi Oum wholesale electricity markets, regulated load serving entities (LSEs) and marketers with default service their obligation through combinations of long-term contracts, wholesale purchases and self

  1. Countervailing Power in Wholesale Pharmaceuticals Sara Fisher Ellison Christopher M. Snyder

    E-Print Network [OSTI]

    Lotko, William

    Countervailing Power in Wholesale Pharmaceuticals Sara Fisher Ellison Christopher M. Snyder M liter- ature. We test the theories using data on wholesale prices for antibiotics sold to large

  2. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    its Impact on Wholesale Electricity Markets James Bushnellits Impact on Wholesale Electricity Markets James Bushnell *gas emissions from electricity and perhaps other industries.

  3. australian wholesale spot: Topics by E-print Network

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

    australian wholesale spot First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 FirstChoice Wholesale...

  4. 1996 Wholesale Power and Transmission Rate Schedules.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1996-10-01T23:59:59.000Z

    Bonneville Power Administration`s (BPA) 1996 Wholesale Power Rate Schedules, 1996 Ancillary Products and Services Rate Schedule, 1996 Transmission Rate Schedules, and General Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1996. These rate schedules and provisions were approved by the Federal Energy Regulatory Commission (FERC), United States Department of Energy, in September 1996 (Docket Nos EF96-2011-000 and EF96f-2021-000). These rate schedules and General Rate Schedule Provisions were approved on a final basis by the FERC July 30, 1997, in Dept. of Energy--Bonneville Power Administration, Docket Nos. EF96-2011-000 and EF96-2021-000. Except as noted elsewhere, these 1996 rate schedules and provisions supersede BPA`s Wholesale Power Rate Schedules and General Rate Schedule Provisions, and Transmission Rate Schedules and General Transmission Rate Schedule Provisions, effective October 1, 1995. These rate schedules and general rate schedule provisions include all errata.

  5. Pricing trends in the US market for wholesale power

    SciTech Connect (OSTI)

    Geschwind, D.P.; Flucke, J.M. [Burns & McDonnell, Kansas City, MO (United States)

    1996-12-31T23:59:59.000Z

    Electricity markets in the United States have undergone an interesting transformation over the last several years. With the Energy Policy Act of 1992, Congress set the stage for competition in the wholesale market for electricity. No longer could one utility hold another utility hostage by denying it transmission access. Through increased choices of suppliers, purchasers of wholesale power have, in many cases, been able to lower their power costs by purchasing power on the open market, rather than purchasing power solely from an adjacent utility. Burns & McDonnell has worked with many wholesale power purchasers over recent years to evaluate the available options for lowering their power costs. In many of these evaluations, bid solicitations were conducted to identify specific wholesale power purchase options. Through these projects, Burns & McDonnell has been able to collect a substantial amount of data on the offered prices for wholesale power over the last several years. The purpose of this paper is to compare the purchase power data collected by Burns & McDonnell over the last several years in evaluating resource options for electric utilities. Reviews of this data suggest a declining pricing trend that reflects increasing levels of competition in the wholesale power market. The paper also illustrates the difficulty in constructing new generation that can produce electricity at a cost below that of the wholesale power market. Finally, the paper addresses the difference between average cost and marginal cost pricing as it relates to the cost of producing wholesale power for sale. The paper discusses the idea that some participants in the wholesale power market may actually be offering power for prices that are lower than their cost of producing electricity. The advantages and disadvantages of this pricing approach are examined.

  6. A Quantitative Analysis of Pricing Behavior In California's Wholesale Electricity Market During Summer 2000

    E-Print Network [OSTI]

    Joskow, Paul; Kahn, Edward

    2004-06-16T23:59:59.000Z

    A Quantitative Analysis of Pricing Behavior In California's Wholesale Electricity Market During Summer 2000...

  7. 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

  8. Company Name: C&S Wholesale Grocers Web Site: http://weselectthebest.com/

    E-Print Network [OSTI]

    New Hampshire, University of

    Company Name: C&S Wholesale Grocers Web Site: http://weselectthebest.com/ Industry: Wholesale and rewarding. New England-based C&S Wholesale Grocers is the leading supply chain company in the food industry. It is the largest wholesale grocery supplier in the U.S and the 9th-largest privately held company in the nation

  9. An Agent-Based Computational Laboratory for Wholesale Power Market Design

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 An Agent-Based Computational Laboratory for Wholesale Power Market Design Junjie Sun and Leigh (in Java) of an agent-based compu- tational wholesale power market organized in accordance with core the Wholesale Power Market Platform (WPMP) as a template for all U.S. wholesale power markets (FERC [1

  10. 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

  11. 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...

  12. Paying for demand-side response at the wholesale level

    SciTech Connect (OSTI)

    Falk, Jonathan

    2010-11-15T23:59:59.000Z

    The recent FERC Notice of Public Rulemaking regarding the payment to demand-side resources in wholesale markets has engendered a great deal of comments including FERC's obligation to ensure just and reasonable rates in the wholesale market and criteria for what FERC should do (on grounds of economic efficiency) without any real focus on what that commitment would really mean if FERC actually pursued it. (author)

  13. Marketing Practices and Costs of Texas Egg Producer-Wholesalers.

    E-Print Network [OSTI]

    Shafer, Carl E.

    1964-01-01T23:59:59.000Z

    the ungraded, loose desirable in order to take advantage of both labor wholesale alternative and the gra(lPr,, specialization in egg processing and market out- lets which require large volumes. Producers cartoned retailer-consumer alternative. Groupretail A, B and C's presence in the market may be outlets at wholesale prices and/or directly to explained in part by their accepting low returnc for their labor and investment and/or the receipt consumers at prices...

  14. 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.

  15. 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

  16. Using Laboratory Experiments to Design Efficient Market Institutions The case of wholesale electricity markets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Using Laboratory Experiments to Design Efficient Market Institutions The case of wholesale is dedicated to wholesale markets, and reviews the results accumulated to date concerning both the general

  17. 2007 Wholesale Power Rate Case Final Proposal : Wholesale Power Rate Development Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The Wholesale Power Rate Development Study (WPRDS) serves two primary purposes. It synthesizes information supplied by the other final studies that comprise the BPA rate proposal and shows the actual calculations for BPA's power rates. In addition, the WPRDS is the primary source for certain information used in establishing the power rates. Information developed in the WPRDS includes rate design (including seasonal and diurnal shapes for energy rates, demand, and load variance rates), the risk mitigation tools (Cost Recovery Adjustment Clause (CRAC), along with the [N]ational Marine Fisheries Service [F]ederal Columbia River Power System [B]iological Opinion (NFB) Adjustment, the Emergency NFB Surcharge, and Dividend Distribution Clause (DDC)), development of the Slice rate, and all discounts and other adjustments that are included in the rate schedules and the General Rate Schedule Provisions. The WPRDS also includes the description of the methodology for the Cost of Service Analysis (COSA), and the various rate design steps necessary to establish BPA's power rates. The WPRDS also shows the calculations for inter-business line revenues and expenses, the revenue forecast and, finally, includes a description of all of the rate schedules. The actual rate schedules are shown in ''Administrator's Final Record of Decision (ROD), Appendix A: 2007 Wholesale Power Rate Schedules and General Rate Schedule Provisions, WP-07-A-02''. The WPRDS also includes the Partial Resolution of Issues, shown in Attachment 1 of the ROD. The Partial Resolution of Issues affected many of the features described in this study. These are noted where appropriate.

  18. Fulton Fish Market: Wholesale Prices for Clams 2003 Aquaculture Survey 1

    E-Print Network [OSTI]

    Florida, University of

    Fulton Fish Market: Wholesale Prices for Clams 2003 Aquaculture Survey 1 Fulton Fish Market Prices or by accessing www.nass.usda.gov/fl. The wholesale selling prices listed by the New York Fulton Fish Market are for a 400-count bag. The average wholesale price for a Florida clam has dropped from 22.8 to 15.7 cents

  19. Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid-determining) generation companies induce correlations among neighboring LMPs. Index Terms--Restructured wholesale power

  20. Financial Risk Management in Restructured Wholesale Power Markets: Concepts and Tools

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Financial Risk Management in Restructured Wholesale Power Markets: Concepts and Tools Nanpeng Yu by explaining and illustrating basic financial risk management concepts relevant for wholesale power markets--Financial Risk Management, Restructured Wholesale Power Markets, Agent-Based Test Bed I. INTRODUCTION

  1. The AMES Wholesale Power Market Test Bed as a Stochastic Dynamic State-Space Game

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    The AMES Wholesale Power Market Test Bed as a Stochastic Dynamic State-Space Game Leigh Tesfatsion.econ.iastate.edu/tesfatsi/ tesfatsi@iastate.edu Last Revised: August 5, 2008 Abstract: The AMES Wholesale Power Market Test Bed wholesale power markets. These notes show how AMES can be recast in more standard state-space equation form

  2. See More Jobs From Agrium Wholesale Truck Analyst (175535-001) -(Calgary, Alberta, Western Canada, Canada)

    E-Print Network [OSTI]

    Behmer, Spencer T.

    See More Jobs From Agrium Wholesale Truck Analyst (175535-001) - (Calgary, Alberta, Western Canada, Canada) Company: Agrium Wholesale Apply below Industry Sector: Agribusiness Industry Type: Agronomy a growing world. Growth is a top priority for Agrium Wholesale and it doesn't just apply to the nutrients we

  3. SAMPLE INTERNSHIP DESCRIPTION NOT CURRENTLY OPEN FOR INFORMATION ONLY Online and Wholesale Internship

    E-Print Network [OSTI]

    SAMPLE INTERNSHIP DESCRIPTION ­ NOT CURRENTLY OPEN ­ FOR INFORMATION ONLY Online and Wholesale individuals to help support the Online and Wholesale Divisions in Portland, Oregon who: · Have an interest, and a wholesale operation. Other Global Exchange programs include a Reality Tours travel program to both U

  4. The Potential Impacts of a Competitive Wholesale Market in the Midwest: A Preliminary Examination of

    E-Print Network [OSTI]

    LBNL-56503 The Potential Impacts of a Competitive Wholesale Market in the Midwest: A Preliminary-56503 The Potential Impacts of a Competitive Wholesale Market in the Midwest: A Preliminary Examination Wholesale Market in the Midwest: A Preliminary Examination of Centralized Dispatch ii Acknowledgements

  5. Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market the generation, transmission, and distribution and introduced competition in generation, wholesale procure- ment in the wholesale market by numerous market participants such as generators, load- serving entities (LSEs

  6. Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study test case imple- mented via the AMES Wholesale Power Market Test Bed to investigate strategic capacity withholding by generation compa- nies (GenCos) in restructured wholesale power markets under systematically

  7. 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

  8. Eric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Eric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public Utility Commission of Texas in Austin with expertise on wholesale market design and resource adequacy from the University of Illinois at Urbana-Champaign. David Hurlbut is Senior Economist at the Wholesale

  9. 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

  10. Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity

    E-Print Network [OSTI]

    Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market and distribution and introduced competition in generation, wholesale procure- ment, and to a limited extent in retail supply of electricity. Electricity is now bought and sold in the wholesale market by numerous

  11. The AMES Wholesale Power Market Test Bed: A Computational Laboratory for

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 The AMES Wholesale Power Market Test Bed: A Computational Laboratory for Research, Teaching, and Training Hongyan Li, Student Member, IEEE, and Leigh Tesfatsion, Member, IEEE Abstract--Wholesale power suitable for the objective study of this restructuring process. This study reports on the AMES Wholesale

  12. An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures Abhishek Somani and Leigh Tesfatsion, Member, IEEE Abstract--Wholesale power markets operating over trans- mission grids and operational inefficiency. This study uses a wholesale power market test bed with strategically learning

  13. 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

  14. EIS-0102: Bonneville Power Administration's 1983 Wholesale Power Rate

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's Bonneville Power Administration prepared this EIS to evaluate the potential environmental impacts associated with an increase in wholesale power rates that would become effective on November 1, 1983, including the effects of rate hikes in that year and the cumulative effects of previous rate hikes.

  15. Supreme court agrees: FERC must regulate wholesale markets

    SciTech Connect (OSTI)

    Wolak, Frank A. (Holbrook Working Professor of Commodity Price Studies, Department of Economics, Stanford University)

    2008-08-15T23:59:59.000Z

    The author believes that wholesale markets in the United States would have a greater likelihood of ultimately benefiting consumers if the Federal Energy Regulatory Commission did not have the mandate under the Federal Power Act (FPA) to ensure that wholesale prices are ''just and reasonable.'' However, he continues to believe that the FERC cannot avoid having an ex post criteria for asssessing whether market prices are just and reasonable. Moreover, changes in the design and regulatory oversight of U.S. wholesale electricity markets in recent years, including the recent Supreme Court decision, have caused him to believe even more strongly in the guardrails-for-market-outcomes approach. Finally, several questions are addressed which relate to the pricing of fixed-price, long-term contracts and the impact of these obligations on the behavior of suppliers in short-term wholesale markets that are directly relevant to answering the two major questions that the Supreme Court remanded to FERC in its recent decision.

  16. Managing transmission curtailment risk in wholesale power markets

    SciTech Connect (OSTI)

    Morey, Mathew J.; Kirsch, Laurence D.

    2009-11-15T23:59:59.000Z

    Risk resulting from transmission loading relief calls made by transmission system operators can be managed with information estimated by a statistical model capable of predicting one day in advance the probability that a particular wholesale power transaction might be curtailed. The model predicts this probability with a reasonable degree of accuracy using information on variables that can be obtained publicly. (author)

  17. 2007 Wholesale Power Rate Case Initial Proposal : Wholesale Power Rate Development Study Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration

    2005-11-01T23:59:59.000Z

    The Documentation for Wholesale Power Rate Development Study (WPRDS) shows the details of the calculation of the proposed rates. It contains the source data, the calculation, and the results. Section 1 contains an overview of the information used and developed in the various models used in the rate development process. Section 2 contains the documentation of the Rate Analysis Model (RAM2007). The RAM2007 is a group of computer applications that performs most of the computations that determine BPA's proposed rates. The output tables of RAM2007 show the source data, calculations (in sequence), and the results (rate charges) of the rate development process. Section 3 provides documentation of revenue forecasts for the 3-year rate test period FY 2007 through FY 2009 at both current and proposed rates and at current rates for the period immediately preceding the rate test period. Section 4 includes supporting data for rate calculations not performed in RAM2007 or revenue analyses. Each section draws data from difference sources and thus tables and/or charts are not always numbered in sequence. For purposes of this document, omitted tables will be listed as such in the Table of Contents.

  18. 2007 Wholesale Power Rate Case Final Proposal : Wholesale Power Rate Development Study Documentation, Volume 2.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The Documentation for Wholesale Power Rate Development Study shows the details of the calculation of the proposed rates. It contains the source data, the calculation, and the results. There are 2 Volumes, the first containing Sections 1, 2, and 3; the second containing Section 4 and 3 appendices. Section 1 contains an overview of the information used and developed in the various models used in the rate development process. Section 2 contains the documentation of the Rate Analysis Model (RAM2007). The RAM2007 is a group of computer applications that performs most of the computations that determine BPA's proposed rates. The output tables of RAM2007 show the source data, calculations (in sequence), and the results (rate charges) of the rate development process. Section 3 provides documentation of revenue forecasts for the three-year rate test period FY 2007 through FY 2009 at both current and proposed rates and at current rates for the period immediately preceding the rate test period. Section 4 includes supporting data for rate calculations not performed in RAM2007 or revenue analyses.

  19. 2007 Wholesale Power Rate Case Initial Proposal : Wholesale Power Rate Development Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2007-11-01T23:59:59.000Z

    The Wholesale Power Rate Development Study (WPRDS) calculates BPA proposed rates based on information either developed in the WPRDS or supplied by the other studies that comprise the BPA rate proposal. All of these studies, and accompanying documentation, provide the details of computations and assumptions. In general, information about loads and resources is provided by the Load Resource Study (LRS), WP-07-E-BPA-01, and the LRS Documentation, WP-07-E-BPA-01A. Revenue requirements information, as well as the Planned Net Revenues for Risk (PNNR), is provided in the Revenue Requirement Study, WP-07-E-BPA-02, and its accompanying Revenue Requirement Study Documentation, WP-07-E-BPA-02A and WP-07-E-BPA-02B. The Market Price Forecast Study (MPFS), WP-07-E-BPA-03, and the MPFS Documentation, WP-07-E-BPA-03A, provide the WPRDS with information regarding seasonal and diurnal differentiation of energy rates, as well information regarding monthly market prices for Demand Rates. In addition, this study provides information for the pricing of unbundled power products. The Risk Analysis Study, WP-07-E-BPA-04, and the Risk Analysis Study Documentation, WP-07-E-BPA-04A, provide short-term balancing purchases as well as secondary energy sales and revenue. The Section 7(b)(2) Rate Test Study, WP-07-E-BPA-06, and the Section 7(b)(2) Rate Test Study Documentation, WP-07-E-BPA-06A, implement Section 7(b)(2) of the Northwest Power Act to ensure that BPA preference customers firm power rates applied to their general requirements are no higher than rates calculated using specific assumptions in the Northwest Power Act.

  20. The robustness of agent-based models of electricity wholesale markets

    E-Print Network [OSTI]

    Newberry, David

    2012-05-28T23:59:59.000Z

    The robustness of agent-based models of electricity wholesale markets David Newberry May 2012 CWPE 1228 & EPRG 1213 The robustness of agent-based model of electricity wholesale markets... David Newberry May 2012 CWPE 1228 & EPRG 1213 www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract The robustness of agent-based models of electricity wholesale markets EPRG Working Paper 1213 Cambridge...

  1. Jitter in ATM networks and its impact on peak rate enforcement

    E-Print Network [OSTI]

    Guillemin, Fabrice

    Jitter in ATM networks and its impact on peak rate enforcement James ROBERTS FRANCE TELECOM CNET. This is the phenomenon of jitter and the aim of the present paper is to study its in uence on peak rate enforcement. We rst introduce some general characterizations of jitter and then, describe two models of jittered ows

  2. Santee-1-E Wholesale Power Rate Schedule | 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 atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate

  3. Santee-2-E Wholesale Power Rate Schedule | 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 atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate2-E

  4. Santee-4-E Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of4-E Wholesale

  5. MISS-1-N Wholesale Power Rate Schedule | 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't YourTransport(FactDepartment ofLetterEconomyDr. ErnestMID-CAREER RETIREMENTMISS-1-N Wholesale

  6. 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.

  7. 2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The purpose of our testimony is to sponsor the rate design portions of Bonneville Power Administration's (BPA) Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05, and associated portions of the Wholesale Power Rate Schedules and GRSPs (WP-07-E-BPA-07). Our testimony is organized in eight sections. The first section outlines the purpose of our testimony. Section 2 describes BPA's Demand Rates, including subsections on the definition of the Demand Rate, the method for computing the Demand Rates, and differences from the currently effective WP-02 Demand Rate. Section 3 describes BPA's Load Variance Rate, with subsections on the definition and purpose of the Load Variance Rate, application of the Load Variance Rate, how the Load Variance Rate is calculated, and the differences from the WP-02 Load Variance Rate. Section 4 describes the steps involved in developing BPA's energy rates and differences from the WP-02 rate case. Section 5 discusses discontinuation of the Stepped Up Multi-Year Block Rate. Section 6 describes a minor change to the Unauthorized Increase Rates and the Excess Factoring Rates. Section 7 describes the Targeted Adjustment Charge. Section 8 addresses the Operating Reserves Credit.

  8. Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the

    E-Print Network [OSTI]

    Sandiford, Mike

    Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed, the depression in wholesale prices has significant value. c 5 GW of solar generation would have saved $1.8 billion in the market over two years. c The depression of wholesale prices offsets the cost of support

  9. BJ's Wholesale Club Welcomes you! Thank you for participating in our Corporate Membership program by renewing or

    E-Print Network [OSTI]

    Reuter, Martin

    BJ's Wholesale Club Welcomes you! Thank you for participating in our Corporate Membership program by renewing or purchasing your BJ's Wholesale Club Membership. BJ's is unlike any shopping club you have ever of the negatives that wholesale shoppers have become all too familiar with. BJ's Application Form Read over

  10. 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

  11. Simulation of the Rungis Wholesale Market: lessons on the calibration, validation and usage of a Cognitive Agent-based Simulation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Simulation of the Rungis Wholesale Market: lessons on the calibration, validation and usage on a simulation of the Rungis Wholesale Market (in France) using cognitive agents. The implication of using of the system. Our case, the Fruits and Vegetables wholesale market of the Rungis Food Market, constitutes

  12. Impact of U.S. Wholesale Demand for Canned Sardines on Market Accessibility of Potential Gulf of Mexico Products

    E-Print Network [OSTI]

    Impact of U.S. Wholesale Demand for Canned Sardines on Market Accessibility of Potential Gulf market, three product groups, which comprise the market, are analyzed at the wholesale level to detennine can to a 425 round no. 1 tall can (Lanier, 1981). In this paper we examine the U.S. wholesale demand

  13. 2007 Wholesale Power Rate Case Initial Proposal : Revenue Requirement Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The purpose of this Study is to establish the level of revenues from wholesale power rates necessary to recover, in accordance with sound business principles, the Federal Columbia River Power System (FCRPS) costs associated with the production, acquisition, marketing, and conservation of electric power. The generation revenue requirement includes: recovery of the Federal investment in hydro generation, fish and wildlife and conservation costs; Federal agencies' operations and maintenance (O&M) expenses allocated to power; capitalized contract expenses associated with non-Federal power suppliers such as Energy Northwest (EN); other power purchase expenses, such as short-term power purchases; power marketing expenses; cost of transmission services necessary for the sale and delivery of FCRPS power; and all other generation-related costs incurred by the Administrator pursuant to law.

  14. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. Estimating the Volatility of Wholesale Electricity Spot Prices in the US

    E-Print Network [OSTI]

    Marathe, Achla

    permission. Estimating the Volatility of Wholesale Electricity Spot Prices in the US Lester Hadsell; Achla

  15. The third, use of quantum mechanics to evaluate the molecular energy and forces, holds promise for future refinements when applied wholesale,

    E-Print Network [OSTI]

    Sali, Andrej

    for future refinements when applied wholesale, but is already capable of producing valuable insight when

  16. The wholesale market for electricity in England and Wales : recent developments and future reforms

    E-Print Network [OSTI]

    Sweeting, Andrew

    2000-01-01T23:59:59.000Z

    The England and Wales wholesale electricity market is about to undergo major reform (NETA). I describe and analyse the proposed arrangements, contrasting them with those currently in operation. I argue that while NETA will ...

  17. On the stability of wholesale electricity markets under real-time pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a mathematical model for the dynamic evolution of supply, demand, and clearing prices under a class of real-time pricing mechanisms characterized by passing on the real-time wholesale prices to the end ...

  18. Market Power in the England and Wales Wholesale Electricity Market 1995-2000

    E-Print Network [OSTI]

    Sweeting, Andrew

    2006-03-14T23:59:59.000Z

    This paper shows that generators exercised increasing market power in the England and Wales wholesale electricity market in the second half of the 1990s despite declining market concentration. It examines whether this was consistent with static, non...

  19. Innnovative wholesale carcass fabrication and retail cutting to optimize beef value

    E-Print Network [OSTI]

    Pfeiffer, Kyle David

    2006-04-12T23:59:59.000Z

    This study evaluated innovations in beef wholesale carcass fabrication that may have potential for improving subprimal yield and overall value of the beef carcass. Thirty beef carcasses, equally representing USDA Choice and Select and USDA yield...

  20. Are agent-based simulations robust? The wholesale electricity trading case

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    functions, demand aggregation, initial beliefs. 1 Introduction Companies and government agencies on prevailing wholesale electricity trading simulation methods. We include different supply and demand best-response and reinforcement learning but not under fictitious play. The simulations perform well

  1. Market power in the England and Wales wholesale electricity [market, 1995-2000

    E-Print Network [OSTI]

    Sweeting, Andrew

    2004-01-01T23:59:59.000Z

    This paper shows that generators exercised increasing market power in the England and Wales wholesale electricity market in the second half of the 1990s despite declining market concentration. It examines whether this was ...

  2. A Fresh Look at Weather Impact on Peak Electricity Demand and

    E-Print Network [OSTI]

    and Renewable Energy, the U.S.-China Clean Energy Research Center for Building Energy Efficiency, of the U Institute, Taiwan, ROC May 2013 This work was supported by the Assistant Secretary for Energy Efficiency at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

  3. Jitter in ATM networks and its impact on peak rate enforcement

    E-Print Network [OSTI]

    Guillemin, Fabrice

    Jitter in ATM networks and its impact on peak rate enforcement James ROBERTS FRANCE TELECOM CNET to queueing in upstream multiplexing stages, notably in customer premises. This is the phenomenon of jitter general characterizations of jitter and then, describe two models of jittered flows based on simple

  4. The Texas Wholesale Meat Distribution Industry -- Structure, Operational Characteristics and Competitive Practices.

    E-Print Network [OSTI]

    Dietrich, Raymond A.

    1976-01-01T23:59:59.000Z

    [Blank Page in Original Bulletin] The Texas Wholesale Meat Distribution Industry - Structure, Operational Characteristics, and Competitive Practices Mentior, of a tradehark or a proprietary product does not constitute a guarantee or warranty... regard to race, color, religion, sex, age, or national origin. [Blank Page in Original Bulletin] CONTENTS Page Highlights Introduction ............9..8...v..000..000*.00.00.t8 1 Structural Characteristics of the U . S . and Texas Wholesale Meat...

  5. The Supply Function Equilibrium and its Policy Implications for Wholesale Electricity Auctions

    E-Print Network [OSTI]

    Holmberg, P; Newbery, David

    www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract The supply function equilibrium and its policy implications for wholesale electricity auctions EPRG Working Paper 1007 Cambridge Working Paper in Economics 1016 Pär... Holmberg and David Newbery The supply function equilibrium provides a game-theoretic model of strategic bidding in oligopolistic wholesale electricity auctions. This paper presents an intuitive account of current understanding and shows how welfare...

  6. An empirical investigation of the price linkages between wholesale beef and slaughter cattle prices

    E-Print Network [OSTI]

    Owen, Cynthia Jane

    1987-01-01T23:59:59.000Z

    AN EMPIRICAL INVESTIGATION OF THE PRICE LINKAGES BETWEEN WHOLESALE BEEF AND SLAUGHTER CATTLE PRICES. A Thesis by CYNTHIA jANE OWEN Submitted to the Graduate College of Texas ASM University in partial fulfilment of the requirements... ~) Roy F. Gilbert ~) I. (Head of Departmen ) May 1987 ABSTRACT An Empirical Investigation of The Price Linkages Between Wholesale Beef and Slaughter Cattle Prices, (May 1987) Cynthia Jane Owen, B. S. . Univeristy of Guelph Chair of Advisory...

  7. Wholesale Power and Transmission Rate Projections 1993--2014 and Historical Wholesale Power Rates 1939--1992.

    SciTech Connect (OSTI)

    US Bonneville Power Administration

    1993-11-01T23:59:59.000Z

    This document provides a range of high, medium, and low case long-term projections of Bonneville Power Administration`s (BPA) wholesale power rates and a medium case long-term projection of BPA`s wheeling rates. These projections are produced annually by BPA. BPA uses these projections in long-term marketing, resource, transmission, and financial planning assessments. BPA`s projections also are used by public utility commissions, utilities, and others for a variety of planning purposes. The analysis used for these rate projections assumes that current rate making methodologies continue into the future and are further based on certain assumptions about regional loads, extra-regional markets, the costs of resources, BPA`s financial requirements, and the capability of the region`s power plants. While these projections are intended to address the overall uncertainty in rate levels, BPA realizes that the future will not reflect any specific set of assumptions. The rate projections in this document have been prepared prior to the Draft 1993 BPA Marketing Plan, the implementation of which is almost certain to push BPA away from any set of assumptions in this document. Therefore, this document can be thought of as representing the ``old`` BPA with its products and policies. It can be viewed as a starting point or reference point to measure the impact of the ``new`` BPA with its Marketing Plan, and the broader undertaking referred to as the Competitiveness Project.

  8. 2007 Wholesale Power Rate Case Initial Proposal : Risk Analysis Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The Federal Columbia River Power System (FCRPS), operated on behalf of the ratepayers of the PNW by BPA and other Federal agencies, faces many uncertainties during the FY 2007-2009 rate period. Among these uncertainties, the largest revolve around hydro conditions, market prices and river operations for fish recovery. In order to provide a high probability of making its U.S. Treasury payments, BPA performs a Risk Analysis as part of its rate-making process. In this Risk Analysis, BPA identifies key risks, models their relationships, and then analyzes their impacts on net revenues (total revenues less expenses). BPA subsequently evaluates in the ToolKit Model the Treasury Payment Probability (TPP) resulting from the rates, risks, and risk mitigation measures described here and in the Wholesale Power Rate Development Study (WPRDS). If the TPP falls short of BPA's standard, additional risk mitigation revenues, such as PNRR and CRAC revenues are incorporated in the modeling in ToolKit until the TPP standard is met. Increased wholesale market price volatility and six years of drought have significantly changed the profile of risk and uncertainty facing BPA and its stakeholders. These present new challenges for BPA in its effort to keep its power rates as low as possible while fully meeting its obligations to the U.S. Treasury. As a result, the risk BPA faces in not receiving the level of secondary revenues that have been credited to power rates before receiving those funds is greater. In addition to market price volatility, BPA also faces uncertainty around the financial impacts of operations for fish programs in FY 2006 and in the FY 2007-2009 rate period. A new Biological Opinion or possible court-ordered change to river operations in FY 2006 through FY 2009 may reduce BPA's net revenues included Initial Proposal. Finally, the FY 2007-2009 risk analysis includes new operational risks as well as a more comprehensive analysis of non-operating risks. Both the operational and non-operational risks will be described in Section 2.0 of this study. Given these risks, if rates are designed using BPA's traditional approach of only adding Planned Net Revenues for Risk (PNRR), power rates would need to recover a much larger ''risk premium'' to meet BPA's TPP standard. As an alternative to high fixed risk premiums, BPA is proposing a risk mitigation package that combines PNRR with a variable rate mechanism similar to the cost recovery adjustment mechanisms used in the FY 2002-2006 rate period. The proposed risk mitigation package is less expensive on a forecasted basis because the rates can be adjusted on an annual basis to respond to uncertain financial outcomes. BPA is also proposing a Dividend Distribution Clause (DDC) to refund reserves in excess of $800M to customers in the event net revenues in the next rate period exceed current financial forecasts.

  9. Comparison of systems for the distribution of lamb carcasses and wholesale cuts

    E-Print Network [OSTI]

    Tatum, Joseph Daryl

    1976-01-01T23:59:59.000Z

    COMPARISON OF SYSTEMS FOR THE DISTRIBUTION OF LAMB CARCASSES AND WHOLESALE CUTS A Thesis by JOSEPH DARYL TATUM Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE Play 1976 M+or SubJect: Animal Science (Meats) COMPARISON OF SYSTEMS FOR THE DISTRIBUTION OF LAMB CARCASSES AND WHOLESALE CUTS A Thesis by JOSEPH DARYL TATUM Approved as to style and content by: 0) o (Co-C a man of Committee) ( -Chairman...

  10. USAEE/IAEE North American Conference, Washington, D.C., July 8-10, 2004 Testing the Reliability of FERC's Wholesale Power Market Platform

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach Deddy@iastate.edu Abstract: In April 2003 the U.S. Federal Energy Regulatory Commission proposed the Wholesale Power Market Platform (WPMP) for common adoption by U.S. wholesale power markets. The WPMP is a complicated market

  11. The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates and Retail Electricity Tariffs in Australia.1

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates that the introduction of a carbon price signal will have on wholesale electricity prices, carbon-pass-through rates is used to determine optimal dispatch of generation plant and wholesale prices within the ANEM model. We

  12. Abstract--Although Locational Marginal Pricing (LMP) plays an important role in many restructured wholesale power

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Abstract-- Although Locational Marginal Pricing (LMP) plays an important role in many Terms-- Locational marginal pricing, wholesale power market, AC optimal power flow, DC optimal power congestion by means of Locational Marginal Pricing (LMP), i.e., the pricing of power by the location

  13. Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate

    E-Print Network [OSTI]

    Oren, Shmuel S.

    1 Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate Flexible energy, dynamic programming. I. INTRODUCTION Dynamic pricing has the potential to materialize the poten many of the operational problems that arise from renewable energy integration through dynamic pricing

  14. ARM - Daily Report Archive

    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 for4,645 3,625 1,006 492air Comments? We would love to heargovInstrumentstdmaDaily Report Archive Related Links TWP-ICE Home

  15. 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 ...

  16. The effect of degree of vacuum on the physical and organoleptic properties of vacuum packaged beef wholesale cuts

    E-Print Network [OSTI]

    Seideman, Steven Charles

    1975-01-01T23:59:59.000Z

    THE EFFECT OF DEGREE OF VACUUM ON THE PHYSICAL AND ORGANOLEPTIC PROPERTIES OF VACUUM PACKAGED BEEP WHOLESALE CUTS A Thesis STEVEN CHARLES SEIDEMAN Submitted to the Graduate College of Texas A&M University 1n partial fulfillment... of the requirements of the degree of MASTER OF SCIENCE August IH75 Ma)or Subject: Animal Science THE EFFECT OF DEGREE OF VACUUM ON THE PHYSICAL AND ORGANOLEPTIC PROPERTIES OF VACUUM PACKAGED BEEF WHOLESALE CUTS A Thesi STEVEN CHARLES SEIDEMAN Approved...

  17. Modeling of sorption isotherms of dried vegetable wastes from wholesale market

    SciTech Connect (OSTI)

    Lopez, A.; Iguaz, A.; Esnoz, A.; Virseda, P.

    2000-05-01T23:59:59.000Z

    The moisture sorption isotherms of dried vegetable wastes (based on green leaves and fruits) from wholesale market were determined at 25, 40, 60 and 90 C by the static gravimetric method. Experimental data were fit by using several mathematical models. The G.A.B. and the Halsey model gave the minimum mean square error. G.A.B. parameters were related with temperature by Arrhenius expressions.

  18. A normal-faulting seismic sequence triggered by the 2011 off the Pacific coast of Tohoku Earthquake: Wholesale stress regime changes in the upper plate

    E-Print Network [OSTI]

    Kato, Aitaro

    : Wholesale stress regime changes in the upper plate Aitaro Kato*1 , Shin'ichi Sakai1 , and Kazushige Obara1 1

  19. 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.

  20. Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation

    SciTech Connect (OSTI)

    Ela, E.; Milligan, M.; Bloom, A.; Botterud, A.; Townsend, A.; Levin, T.

    2014-09-01T23:59:59.000Z

    Variable generation such as wind and photovoltaic solar power has increased substantially in recent years. Variable generation has unique characteristics compared to the traditional technologies that supply energy in the wholesale electricity markets. These characteristics create unique challenges in planning and operating the power system, and they can also influence the performance and outcomes from electricity markets. This report focuses on two particular issues related to market design: revenue sufficiency for long-term reliability and incentivizing flexibility in short-term operations. The report provides an overview of current design and some designs that have been proposed by industry or researchers.

  1. SCE&G-4-E Wholesale Power Rate Schedule | 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 usingofRetrofittingFundAofSCE&G-4-E Wholesale Power

  2. 2007 Wholesale Power Rate Case Final Proposal : Load Resource Study and Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The Load Resource Study (Study) represents the compilation of the load and contract obligations, contact purchases, and resource data necessary for developing BPA's wholesale power rates. The results of this Study are used to: (1) provide data to determine resource costs for the Revenue Requirement Study, WP-07-FS-BPA-02; (2) provide data to derive billing determinants for the revenue forecast in the Wholesale Power Rate Development Study (WPRDS), WP-07-FS-BPA-05; (3) provide load and resource data for use in the Risk Analysis Study, WP-07-FS-BPA-04; and (4) provide regional hydro data for use in the secondary revenue forecast for the Market Price Forecast Study, WP-07-FS-BPA-03. This Study provides a synopsis of BPA's load resource analyses. This Study illustrates how each component is completed, how components relate to each other, and how each component fits into the rate development process. Details and results supporting this Study are contained in the Load Resource Study Documentation, WP-07-FS-BPA-01A.

  3. 2007 Wholesale Power Rate Case Initial Proposal : Load Resource Study and Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The Load Resource Study (Study) represents the compilation of the loads, sales, contracts, and resource data necessary for developing BPA wholesale power rates. The results of this Study are used to: (1) provide base data to determine resource costs for the Revenue Requirement Study, WP-07-E-BPA-02; (2) provide regional hydro data for use in the secondary revenue forecast for the Market Power Study, WP-07-E-BPA-03; (3) provide base data to derive billing determinants for the revenue forecast in the Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05; and (4) provide load and resource data for use in calculating risk in the Risk Analysis Study, WP-07-E-BPA-04. This Study provides a synopsis of BPA's load resource analyses. This Study illustrates how each component is completed, how components relate to each other, and how each component fits into the rate development process. Details and results supporting this Study are contained in the Load Resource Documentation, WP-07-E-BPA-01A.

  4. State Electricity Regulatory Policy and Distributed Resources: Accommodating Distributed Resources in Wholesale Markets

    SciTech Connect (OSTI)

    Weston, F.; Harrington, C.; Moskovitz, D.; Shirley, W.; Cowart, R.; Sedano, R.

    2002-10-01T23:59:59.000Z

    Distributed resources can provide cost-effective reliability and energy services - in many cases, obviating the need for more expensive investments in wires and central station electricity generating facilities. Given the unique features of distributed resources, the challenge facing policymakers today is how to restructure wholesale markets for electricity and related services so as to reveal the full value that distributed resources can provide to the electric power system (utility grid). This report looks at the functions that distributed resources can perform and examines the barriers to them. It then identifies a series of policy and operational approaches to promoting DR in wholesale markets. This report is one in the State Electricity Regulatory Policy and Distributed Resources series developed under contract to NREL (see Annual Technical Status Report of the Regulatory Assistance Project: September 2000-September 2001, NREL/SR-560-32733). Other titles in this series are: (1) Distributed Resource Distribution Credit Pilot Programs - Revealing the Value to Consumers and Vendors, NREL/SR-560-32499; (2) Distributed Resources and Electric System Reliability, NREL/SR-560-32498; (3) Distribution System Cost Methodologies for Distributed Generation, NREL/SR-560-32500; (4) Distribution System Cost Methodologies for Distributed Generation Appendices, NREL/SR-560-32501

  5. COMM-OPINION-ORDER, 76 FERC 61,347, Promoting Wholesale Competition Through Open-Access Non-discriminatory Transmission Services by Public Utilities, Docket No. RM95-8-000, Recovery of Stranded Costs by

    E-Print Network [OSTI]

    Laughlin, Robert B.

    COMM-OPINION-ORDER, 76 FERC ¶61,347, Promoting Wholesale Competition Through Open-Access Non Incorporated Promoting Wholesale Competition Through Open-Access Non-discriminatory Transmission Services Utilities, Docket No. RM94-7-001 [62,646] [¶61,347] Promoting Wholesale Competition Through Open-Access Non

  6. COMM-OPINION-ORDER, 75 FERC 61,208, Promoting Wholesale Competition Through Open Access Non-discriminatory Transmission Services by Public Utilities; Recovery of Stranded Costs by Public Utilities and

    E-Print Network [OSTI]

    Laughlin, Robert B.

    COMM-OPINION-ORDER, 75 FERC ¶61,208, Promoting Wholesale Competition Through Open Access Non Wholesale Competition Through Open Access Non-discriminatory Transmission Services by Public Utilities-7-001 [61,687] [¶61,208] Promoting Wholesale Competition Through Open Access Non-discriminatory Transmission

  7. Understanding the Benefits of Dispersed Grid-Connected Photovoltaics: From Avoiding the Next Major Outage to Taming Wholesale Power Markets

    SciTech Connect (OSTI)

    Letendre, Steven E.; Perez, Richard

    2006-07-15T23:59:59.000Z

    Thanks to new solar resource assessment techniques using cloud cover data available from geostationary satellites, it is apparent that grid-connected PV installations can serve to enhance electric grid reliability, preventing or hastening recovery from major power outages and serving to mitigate extreme price spikes in wholesale energy markets. (author)

  8. Thin-layer drying behavior of vegetable wastes from wholesale market

    SciTech Connect (OSTI)

    Lopez, A.; Iguaz, A.; Esnoz, A.; Virseda, P.

    2000-05-01T23:59:59.000Z

    The thin-layer drying behavior of vegetable wastes (as a mix of lettuce and cauliflower leaves) from wholesale market for a temperature range of 50--150 C was determined. Drying of this material was found to take part only in the falling-rate period. The experimental data were fitted to the simple exponential model and the Page model. Both models have good prediction capability. Effective diffusion coefficient varied from 6.03 x 10{sup {minus}9} to 3.15 x 10{sup {minus}8} m{sup 2}/s with an activation energy of diffusion of 19.82 kJ/mol. The temperature dependence of the effective diffusion coefficient was expressed by an Arrhenius-type relationship.

  9. Daily Log 2009 December 2009

    E-Print Network [OSTI]

    Boyce, Richard L.

    , camcorder and typing machine taken from unlocked cabinet. Report #: 2009-00644 Reported: 12/14/09 1813Daily Log 2009 December 2009 No Reportable Activity on 12/31/09 Report #: 2009-00652 Reported: 12/30/09 2106 Occurred: Same Incident: Parking Complaint Location: Woodcrest Parking Lot Disposition: Report

  10. An assessment of Texas wholesale nursery grower and the effect of selected growth retardants on Salvia farinacea x longispicata "Indigo Spires"

    E-Print Network [OSTI]

    Rodriguez, David

    1992-01-01T23:59:59.000Z

    Record of Study An Assessment of a Texas Wholesale Nursery Grower and The Effect of Selected Growth Retardants on Sal via farinacea x longispicata 'Indigo Spires' A PROFESSIONAL PAPER by David Rodriguez Submitted to the College... of Agriculture of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF AGRICULTURE November, 1992 Department of Horticultural Sciences An Assessment of a Texas Wholesale Nursery Grower and The Effect of Selected...

  11. Reforming TSOs: using the 'third package' Legislation to promote efficiency and accelerate regional integration in EU wholesale power markets

    SciTech Connect (OSTI)

    Moselle, Boaz

    2008-10-15T23:59:59.000Z

    The EU is developing new legislation - the so-called ''Third Package'' - to foster competition in its electric power markets. These proposals could be improved by adding more focus on regional integration of wholesale power markets, allowing more leeway for arrangements that fit the diverse existing patterns of transmission ownership and control, and addressing upfront new regulatory concerns that arise when transmission is divested as an independent, for-profit business. (author)

  12. 2007 Wholesale Power Rate Case Initial Proposal : Section 7(b)(2) Rate Test Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    Section 7(b)(2) of the Pacific Northwest Electric Power Planning and Conservation Act (Northwest Power Act), 16 U.S.C. {section} 839e(b)(2), directs the Bonneville Power Administration (BPA) to conduct, after July 1, 1985, a comparison of the projected rates to be charged its preference and Federal agency customers for their firm power requirements, over the rate test period plus the ensuing four years, with the costs of power (hereafter called rates) to those customers for the same time period if certain assumptions are made. The effect of this rate test is to protect BPA's preference and Federal agency customers wholesale firm power rates from certain specified costs resulting from provisions of the Northwest Power Act. The rate test can result in a reallocation of costs from the general requirements loads of preference and Federal agency customers to other BPA loads. The rate test involves the projection and comparison of two sets of wholesale power rates for the general requirements loads of BPA's public body, cooperative, and Federal agency customers (7(b)(2) Customers). The two sets of rates are: (1) a set for the test period and the ensuing four years assuming that section 7(b)(2) is not in effect (known as Program Case rates); and (2) a set for the same period taking into account the five assumptions listed in section 7(b)(2), (known as 7(b)(2) Case rates). Certain specified costs allocated pursuant to section 7(g) of the Northwest Power Act are subtracted from the Program Case rates. Next, each nominal rate is discounted to the beginning of the test period of the relevant rate case. The discounted Program Case rates are averaged, as are the 7(b)(2) Case rates. Both averages are rounded to the nearest tenth of a mill for comparison. If the average Program Case rate is greater than the average 7(b)(2) Case rate, the rate test triggers. The difference between the average Program Case rate and the average 7(b)(2) Case rate determines the amount to be reallocated from the 7(b)(2) Customers to other BPA loads in the rate proposal test period.

  13. 2007 Wholesale Power Rate Case Final Proposal : Risk Analysis Study Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-FS-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-FS-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-FS-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-FS-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-FSBPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

  14. 2007 Wholesale Power Rate Case Initial Proposal : Risk Analysis Study Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-E-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-E-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-E-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-E-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-E-BPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

  15. The development of a charge protocol to take advantage of off- and on-peak demand economics at facilities

    SciTech Connect (OSTI)

    Jeffrey Wishart

    2012-02-01T23:59:59.000Z

    This document reports the work performed under Task 1.2.1.1: 'The development of a charge protocol to take advantage of off- and on-peak demand economics at facilities'. The work involved in this task included understanding the experimental results of the other tasks of SOW-5799 in order to take advantage of the economics of electricity pricing differences between on- and off-peak hours and the demonstrated charging and facility energy demand profiles. To undertake this task and to demonstrate the feasibility of plug-in hybrid electric vehicle (PHEV) and electric vehicle (EV) bi-directional electricity exchange potential, BEA has subcontracted Electric Transportation Applications (now known as ECOtality North America and hereafter ECOtality NA) to use the data from the demand and energy study to focus on reducing the electrical power demand of the charging facility. The use of delayed charging as well as vehicle-to-grid (V2G) and vehicle-to-building (V2B) operations were to be considered.

  16. 2007 Wholesale Power Rate Adjustment Proceeding (WP-07) : Administrator's Final Record of Decision.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    This Record of Decision (ROD) contains the decisions of the Bonneville Power Administration (BPA), based on the record compiled in this rate proceeding, with respect to the adoption of power rates for the three-year rate period commencing October 1, 2006, through September 30, 2009. This ''2007 Wholesale Power Rate Adjustment Proceeding'' is designed to establish replacement rate schedules and General Rate Schedule Provisions (GRSPs) for those that expire on September 30, 2006. This power rate case also establishes the General Transfer Agreement (GTA) Delivery Charge for the period of October 1, 2007, through September 30, 2009. BPA's Power Subscription Strategy and Record of Decision (Subscription Strategy), as well as other Agency processes, provide much of the policy context for this rate case and are described in Section 2. This ROD follows a full evidentiary hearing and briefing, including an Oral Argument before the BPA Administrator. Sections 3 through 18, including any appendices or attachments, present the issues raised by parties in this proceeding, the parties positions, BPA staff positions on the issues, BPA's evaluations of the positions, and the Administrator's decisions. Parties had the opportunity to file briefs on exceptions to the Draft ROD, before issuance of this Final Record of Decision.

  17. 2007 Wholesale Power Rate Case Final Proposal : Section 7(b)(2) Rate Test Study and Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    Section 7(b)(2) of the Pacific Northwest Electric Power Planning and Conservation Act (Northwest Power Act), 16 U.S.C. {section} 839e(b)(2), directs the Bonneville Power Administration (BPA) to conduct, after July 1, 1985, a comparison of the projected rates to be charged its preference and Federal agency customers for their firm power requirements, over the rate test period plus the ensuing 4 years, with the costs of power (hereafter called rates) to those customers for the same time period if certain assumptions are made. The effect of this rate test is to protect BPA's preference and Federal agency customers wholesale firm power rates from certain specified costs resulting from certain provisions of the Northwest Power Act. The rate test can result in a reallocation of costs from the general requirements loads of preference and Federal agency customers to other BPA loads. The rate test involves the projection and comparison of two sets of wholesale power rates for the general requirement loads of BPA's public body, cooperative, and Federal agency customers (collectively, the 7(b)(2) Customers). The two sets of rates are: (1) a set for the test period and the ensuing four years assuming that Section 7(b)(2) is not in effect (known as Program Case rates); and (2) a set for the same period taking into account the five assumptions listed in section 7(b)(2) (known as 7(b)(2) Case rates). Certain specified costs allocated pursuant to section 7(g) of the Northwest Power Act are subtracted from the Program Case rates. Next, each nominal rate is discounted to the beginning of the test period of the relevant rate case. The discounted Program Case rates are averaged, as are the 7(b)(2) Case rates. Both averages are rounded to the nearest tenth of a mill for comparison. If the average of the Program Case rates is greater than the average of the 7(b)(2) Case rates, the rate test triggers. The difference between the average of the Program Case rates and the average of the 7(b)(2) Case rates determines the amount to be reallocated from the 7(b)(2) Customers to other BPA loads in the rate test period. The purpose of this Study is to describe the application of the ''Section 7(b)(2) Implementation Methodology (Implementation Methodology)'' and the results of such application. The accompanying Section 7(b)(2) Rate Test Study Documentation, WP-07-FS-BPA-06A, contains the documentation of the computer models and data used to perform the 7(b)(2) rate test. This Study is organized into three major sections. The first section provides an introduction to the study, as well as a summary of the section ''7(b)(2) Legal Interpretation and Implementation Methodology''. The second section describes the methodology used in conducting the rate test. It provides a discussion of the calculations performed to project the two sets of power rates that are compared in the rate test. The third section presents a summary of the results of the rate test for the WP-07 Final Rate Proposal.

  18. The potential impacts of a competitive wholesale market in the midwest: A preliminary examination of centralized dispatch

    SciTech Connect (OSTI)

    Lesieutre, Bernard C.; Bartholomew, Emily; Eto, Joseph H.; Hale, Douglas; Luong, Thanh

    2004-07-01T23:59:59.000Z

    In March 2005, the Midwest Independent System Operator (MISO) will begin operating the first-ever wholesale market for electricity in the central and upper Midwestern portion of the United States. Region-wide, centralized, security-constrained, bid-based dispatch will replace the current system of decentralized dispatch by individual utilities and control areas. This report focuses on how the operation of generators may change under centralized dispatch. We analyze a stylized example of these changes by comparing a base case dispatch based on a ''snapshot'' taken from MISO's state estimator for an actual, historical dispatch (4 p.m., July 7, 2003) to a hypothetical, centralized dispatch that seeks to minimize the total system cost of production, using estimated cost data collected by the EIA. Based on these changes in dispatch, we calculate locational marginal prices, which in turn reveals the location of congestion within MISO's footprint, as well as the distribution of congestion revenues. We also consider two sensitivity scenarios that examine (1) the effect of changes in MISO membership (2003 vs. 2004 membership lists), and (2) different load and electrical data, based on a snapshot from a different date and time (1 p.m., Feb. 18, 2004). Although our analysis offers important insights into how the MISO market could operate when it opens, we do not address the question of the total benefits or costs of creating a wholesale market in the Midwest.

  19. Get Daily Energy Analysis Delivered to Your Website | Department...

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

    Get Daily Energy Analysis Delivered to Your Website Get Daily Energy Analysis Delivered to Your Website August 8, 2011 - 3:39pm Addthis Get Daily Energy Analysis Delivered to Your...

  20. The Daily Duration of Transportation: An Econometric and Sociological Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    The Daily Duration of Transportation: An Econometric and Sociological Approach Karl Littlejohn. 2007Monte Verità / Ascona, September #12;#12;3 The Daily Duration of Transportation: An Econometric

  1. A critique of an internship program conducted at a wholesale nursery company and recommendations for enhancing internship programs in the College of Agriculture and Life Sciences at Texas A & M University

    E-Print Network [OSTI]

    Arrington, Mary Margaret

    1990-01-01T23:59:59.000Z

    Record of Study A CRITIQUE OF AN IMTEEWSHXP PROGRAM CONDUCTED AT A WHOLESALE NURSERY CONPANY AND RECOMMENDATIONS FOR ENHANCING X~HIP PROGRAMS XN THE COLLEGE OF AGRICULTURE AND LIFE SCIENCES AT TEXAS A & M UNIVERSITY A PROFESSIONAL PAPER Nary... is becoming more valuable. The sponsorship of a student's intern program can become a vital part of his educational process. A critique of a wholesale nursery company's internship program is examined through the participation of five students. Interviews...

  2. Migrating Songbirds Recalibrate Their Magnetic Compass Daily

    E-Print Network [OSTI]

    Murphy, Troy G.

    Migrating Songbirds Recalibrate Their Magnetic Compass Daily from Twilight Cues William W. Cochran, the same individuals migrated northward again. We suggest that birds orient with a magnetic compass­3) after a voyage of up to 25,000 km (4, 5). Migratory songbirds can orient on the basis of compass

  3. Fall 2013 BOSTONIA Last year, the Daily

    E-Print Network [OSTI]

    Spence, Harlan Ernest

    metropolitan area. The website was referring to the people of Boston, of course, not the city itself. But what if the city itself were smart? What if technology, designed by the smart people who work in Boston, could help us save time and energy and spare us from daily frustrations? We talked to some BU researchers who

  4. INVEST IN YOUR BONES Daily Activities

    E-Print Network [OSTI]

    INVEST IN YOUR BONES Daily Activities Leaflet 3 Another osteoporosis prevention step to decrease lifestyle. Let's see how you can do that. If you have osteoporosis, follow carefully the activity program. Remember the following about osteoporosis: is largely preventable and treatable is a serious

  5. Asymmetry of Daily Temperature Records YOSEF ASHKENAZY

    E-Print Network [OSTI]

    Tziperman, Eli

    Asymmetry of Daily Temperature Records YOSEF ASHKENAZY Solar Energy and Environmental Physics, BIDR author address: Yosef Ashkenazy, Department of Solar Energy and Environmental Physics, The J. Blaustein cold fronts are significantly faster and steeper than warm fronts, and to intrusions of cold air

  6. 2011 Daily Log Report #: 2011-00168

    E-Print Network [OSTI]

    Boyce, Richard L.

    the washing machine that he was utilizing. Report #: 2011-00160 Reported: 03/28/2011 2045 Occurred: Same2011 Daily Log March 2011 Report #: 2011-00168 Reported: 03/31/2011 1237 Occurred: 03/31/2011 1235 Incident: Medical Emergency Location: Outside of Student Union Disposition: Report--Closed Comments: Female

  7. DAILY JOURNAL NEWSWIRE ARTICLE http://www.dailyjournal.com

    E-Print Network [OSTI]

    Kammen, Daniel M.

    DAILY JOURNAL NEWSWIRE ARTICLE http://www.dailyjournal.com © 2009 The Daily Journal Corporation IDEAS IN COPENHAGEN By Fiona Smith Daily Journal Staff Writer Two Berkeley Law students will push and is accompanying them to Copenhagen. #12;DAILY JOURNAL NEWSWIRE ARTICLE http://www.dailyjournal.com © 2009

  8. Modeling of GE Appliances: Cost Benefit Study of Smart Appliances in Wholesale Energy, Frequency Regulation, and Spinning Reserve Markets

    SciTech Connect (OSTI)

    Fuller, Jason C.; Parker, Graham B.

    2012-12-31T23:59:59.000Z

    This report is the second in a series of three reports describing the potential of GE’s DR-enabled appliances to provide benefits to the utility grid. The first report described the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The third report will explore the technical capability of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation. In this report, a series of analytical methods were presented to estimate the potential cost benefit of smart appliances while utilizing demand response. Previous work estimated the potential technical benefit (i.e., peak reduction) of smart appliances, while this report focuses on the monetary value of that participation. The effects on wholesale energy cost and possible additional revenue available by participating in frequency regulation and spinning reserve markets were explored.

  9. New wholesale power market design using linked forward markets : a study for the DOE energy storage systems program.

    SciTech Connect (OSTI)

    Silva Monroy, Cesar Augusto; Loose, Verne William; Ellison, James F.; Elliott, Ryan Thomas; Byrne, Raymond Harry; Guttromson, Ross; Tesfatsion, Leigh S. [Iowa State University, Ames, IA

    2013-04-01T23:59:59.000Z

    This report proposes a reformulation of U.S. ISO/RTO-managed wholesale electric power mar- kets for improved reliability and e ciency of system operations. Current markets do not specify or compensate primary frequency response. They also unnecessarily limit the participation of new technologies in reserve markets and o er insu cient economic inducements for new capacity invest- ment. In the proposed market reformulation, energy products are represented as physically-covered rm contracts and reserve products as physically-covered call option contracts. Trading of these products is supported by a backbone of linked ISO/RTO-managed forward markets with planning horizons ranging from multiple years to minutes ahead. A principal advantage of this reformulation is that reserve needs can be speci ed in detail, and resources can o er the services for which they are best suited, without being forced to conform to rigid reserve product de nitions. This should improve the business case for electric energy storage and other emerging technologies to provide reserve. In addition, the facilitation of price discovery should help to ensure e cient energy/reserve procurement and adequate levels of new capacity investment.

  10. Daily rhythms in mobile telephone communication

    E-Print Network [OSTI]

    Aledavood, Talayeh; Roberts, Sam G B; Reed-Tsochas, Felix; Moro, Esteban; Dunbar, Robin I M; Saramäki, Jari

    2015-01-01T23:59:59.000Z

    Circadian rhythms are known to be important drivers of human activity and the recent availability of electronic records of human behaviour has provided fine-grained data of temporal patterns of activity on a large scale. Further, questionnaire studies have identified important individual differences in circadian rhythms, with people broadly categorised into morning-like or evening-like individuals. However, little is known about the social aspects of these circadian rhythms, or how they vary across individuals. In this study we use a unique 18-month dataset that combines mobile phone calls and questionnaire data to examine individual differences in the daily rhythms of mobile phone activity. We demonstrate clear individual differences in daily patterns of phone calls, and show that these individual differences are persistent despite a high degree of turnover in the individuals' social networks. Further, women's calls were longer than men's calls, especially during the evening and at night, and these calls wer...

  11. Customer response to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York

    SciTech Connect (OSTI)

    Goldman, C.; Hopper, N.; Sezgen, O.; Moezzi, M.; Bharvirkar, R.; Neenan, B.; Boisvert, R.; Cappers, P.; Pratt, D.

    2004-07-01T23:59:59.000Z

    There is growing interest in policies, programs and tariffs that encourage customer loads to provide demand response (DR) to help discipline wholesale electricity markets. Proposals at the retail level range from eliminating fixed rate tariffs as the default service for some or all customer groups to reinstituting utility-sponsored load management programs with market-based inducements to curtail. Alternative rate designs include time-of-use (TOU), day-ahead real-time pricing (RTP), critical peak pricing, and even pricing usage at real-time market balancing prices. Some Independent System Operators (ISOs) have implemented their own DR programs whereby load curtailment capabilities are treated as a system resource and are paid an equivalent value. The resulting load reductions from these tariffs and programs provide a variety of benefits, including limiting the ability of suppliers to increase spot and long-term market-clearing prices above competitive levels (Neenan et al., 2002; Boren stein, 2002; Ruff, 2002). Unfortunately, there is little information in the public domain to characterize and quantify how customers actually respond to these alternative dynamic pricing schemes. A few empirical studies of large customer RTP response have shown modest results for most customers, with a few very price-responsive customers providing most of the aggregate response (Herriges et al., 1993; Schwarz et al., 2002). However, these studies examined response to voluntary, two-part RTP programs implemented by utilities in states without retail competition.1 Furthermore, the researchers had limited information on customer characteristics so they were unable to identify the drivers to price response. In the absence of a compelling characterization of why customers join RTP programs and how they respond to prices, many initiatives to modernize retail electricity rates seem to be stymied.

  12. ARM - General Changes in Daily Lives

    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 for4,645 3,625 1,006Datastreamstwrcam40m DocumentationJanuary 9, 2009 [Events, FeatureListGeneral Changes in Daily Lives Outreach

  13. Daily OMP Retro Templatev2.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily780 10623

  14. Effects of Fusion Zone Size and Failure Mode on Peak Load and Energy Absorption of Advanced High Strength Steel Spot Welds under Lap Shear Loading Conditions

    SciTech Connect (OSTI)

    Sun, Xin; Stephens, Elizabeth V.; Khaleel, Mohammad A.

    2008-06-01T23:59:59.000Z

    This paper examines the effects of fusion zone size on failure modes, static strength and energy absorption of resistance spot welds (RSW) of advanced high strength steels (AHSS) under lap shear loading condition. DP800 and TRIP800 spot welds are considered. The main failure modes for spot welds are nugget pullout and interfacial fracture. Partial interfacial fracture is also observed. Static weld strength tests using lap shear samples were performed on the joint populations with various fusion zone sizes. The resulted peak load and energy absorption levels associated with each failure mode were studied for all the weld populations using statistical data analysis tools. The results in this study show that AHSS spot welds with conventionally required fusion zone size of can not produce nugget pullout mode for both the DP800 and TRIP800 welds under lap shear loading. Moreover, failure mode has strong influence on weld peak load and energy absorption for all the DP800 welds and the TRIP800 small welds: welds failed in pullout mode have statistically higher strength and energy absorption than those failed in interfacial fracture mode. For TRIP800 welds above the critical fusion zone level, the influence of weld failure modes on peak load and energy absorption diminishes. Scatter plots of peak load and energy absorption versus weld fusion zone size were then constructed, and the results indicate that fusion zone size is the most critical factor in weld quality in terms of peak load and energy absorption for both DP800 and TRIP800 spot welds.

  15. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    SciTech Connect (OSTI)

    Hong, Tianzhen; Chang, Wen-Kuei; Lin, Hung-Wen

    2013-05-01T23:59:59.000Z

    Buildings consume more than one third of the world?s total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

  16. average daily traffic: Topics by E-print Network

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

    Next Page Last Page Topic Index 1 April 2014 Annual Average DailyTraffic (AADT) is a key input in operations and transportation planning Environmental Sciences and Ecology...

  17. Busted: Illegal Logging in Kenya Daily Nation Newswire

    E-Print Network [OSTI]

    Busted: Illegal Logging in Kenya Daily Nation Newswire Police and Kenya Wildlife Service personnel many merchants were using expired permits. Eighteen people have been arrested for illegal logging

  18. Appendix 22 Draft Nutrient Management Plan and Total Maximum Daily

    E-Print Network [OSTI]

    Appendix 22 Draft Nutrient Management Plan and Total Maximum Daily Load for Flathead Lake, Montana. #12;11/01/01 DRAFT i October 30, 2001 Draft Nutrient Management Plan and Total Maximum Daily Load..............................................................................................................................2-11 SECTION 3.0 APPLICABLE WATER QUALITY STANDARDS

  19. Predicting Daily Net Radiation Using Minimum Climatological Data1

    E-Print Network [OSTI]

    Predicting Daily Net Radiation Using Minimum Climatological Data1 S. Irmak, M.ASCE2 ; A. Irmak3 ; J Abstract: Net radiation (Rn) is a key variable for computing reference evapotranspiration and is a driving for predicting daily Rn have been widely used. However, when the paucity of detailed climatological data

  20. Water Rights Analysis Package (WRAP) Daily Modeling System

    E-Print Network [OSTI]

    Wurbs, R.; Hoffpauir, R.

    2012-10-01T23:59:59.000Z

    .............................................................. 152 7.18 Daily Naturalized Flow at Control Point Hemp .............................................................. 153 7.19 Daily Regulated Flow at Control Point Hemp ................................................................ 153 7... .......................... 185 7.39 Monthly Aggregated Instream Flow Targets for Control Point Bryan .......................... 185 7.40 Monthly Aggregated Instream Flow Targets for Control Point Hemp .......................... 185 8.1 PF Record Variables and Descriptions...

  1. average daily intake: Topics by E-print Network

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

    energy and nitrogen balance. The amounts of alfalfa eaten and the levels of nitrogen. Daylight ratio effect is evident in one case : long daily daylight increases the proportion of...

  2. University of Connecticut Daily Temperature Log Specimen Refrigerator Log

    E-Print Network [OSTI]

    Oliver, Douglas L.

    University of Connecticut Daily Temperature Log ­ Specimen Refrigerator Log Month / Year Clinical ___ Fac. Mgmt. Resolution: 31 ___ Fac. Mgmt. Resolution: If the refrigerator temperature falls out refrigerator. This record must be kept for one year and then destroyed per State requirement

  3. Bacteria Total Maximum Daily Load Task Force Final Report 

    E-Print Network [OSTI]

    Jones, C. Allan; Wagner, Kevin; Di Giovanni, George; Hauck, Larry; Mott, Joanna; Rifai, Hanadi; Srinivasan, Raghavan; Ward, George; Wythe, Kathy

    2009-01-01T23:59:59.000Z

    In September 2006, the Texas Commission on Environmental Quality (TCEQ) and Texas State Soil and Water Conservation Board (TSSWCB) charged a seven-person Bacteria Total Maximum Daily Load (TMDL) Task Force with: * examining approaches...

  4. A Feasibility Study: Mining Daily Traces for Home Heating Control

    E-Print Network [OSTI]

    Whitehouse, Kamin

    , prediction 1. INTRODUCTION Heating, ventilation and cooling (HVAC) contributes most to a home's energy billsA Feasibility Study: Mining Daily Traces for Home Heating Control Dezhi Hong and Kamin Whitehouse and make predictions of arrival times. Our approach requires the minimum ef- forts for heating controls

  5. Description: Lithium batteries are used daily in our work

    E-Print Network [OSTI]

    Description: Lithium batteries are used daily in our work activities from flashlights, cell phones containing one SureFire 3-volt non-rechargeable 123 lithium battery and one Interstate 3-volt non-rechargeable 123 lithium battery. A Garage Mechanic had the SureFire flashlight in his shirt pocket with the lens

  6. RESPITE SERVICES Enhancing the Quality of Daily Life for

    E-Print Network [OSTI]

    Tipple, Brett

    of income more negative attitude toward care recipient loss of free time abuse sleeplessness exhaustionRESPITE SERVICES Enhancing the Quality of Daily Life for Caregivers and Care Receivers PR E PA R E is that the loved ones in need of care usually get better quality care from their caregivers because the care

  7. The effect of head size/shape, miscentering, and bowtie filter on peak patient tissue doses from modern brain perfusion 256-slice CT: How can we minimize the risk for deterministic effects?

    SciTech Connect (OSTI)

    Perisinakis, Kostas; Seimenis, Ioannis; Tzedakis, Antonis; Papadakis, Antonios E.; Damilakis, John [Department of Medical Physics, Faculty of Medicine, University of Crete, P.O. Box 2208, Heraklion 71003, Crete (Greece); Medical Diagnostic Center 'Ayios Therissos,' P.O. Box 28405, Nicosia 2033, Cyprus and Department of Medical Physics, Medical School, Democritus University of Thrace, Panepistimioupolis, Dragana 68100, Alexandroupolis (Greece); Department of Medical Physics, University Hospital of Heraklion, P.O. Box 1352, Heraklion 71110, Crete (Greece); Department of Medical Physics, Faculty of Medicine, University of Crete, P.O. Box 2208, Heraklion 71003, Crete (Greece)

    2013-01-15T23:59:59.000Z

    Purpose: To determine patient-specific absorbed peak doses to skin, eye lens, brain parenchyma, and cranial red bone marrow (RBM) of adult individuals subjected to low-dose brain perfusion CT studies on a 256-slice CT scanner, and investigate the effect of patient head size/shape, head position during the examination and bowtie filter used on peak tissue doses. Methods: The peak doses to eye lens, skin, brain, and RBM were measured in 106 individual-specific adult head phantoms subjected to the standard low-dose brain perfusion CT on a 256-slice CT scanner using a novel Monte Carlo simulation software dedicated for patient CT dosimetry. Peak tissue doses were compared to corresponding thresholds for induction of cataract, erythema, cerebrovascular disease, and depression of hematopoiesis, respectively. The effects of patient head size/shape, head position during acquisition and bowtie filter used on resulting peak patient tissue doses were investigated. The effect of eye-lens position in the scanned head region was also investigated. The effect of miscentering and use of narrow bowtie filter on image quality was assessed. Results: The mean peak doses to eye lens, skin, brain, and RBM were found to be 124, 120, 95, and 163 mGy, respectively. The effect of patient head size and shape on peak tissue doses was found to be minimal since maximum differences were less than 7%. Patient head miscentering and bowtie filter selection were found to have a considerable effect on peak tissue doses. The peak eye-lens dose saving achieved by elevating head by 4 cm with respect to isocenter and using a narrow wedge filter was found to approach 50%. When the eye lies outside of the primarily irradiated head region, the dose to eye lens was found to drop to less than 20% of the corresponding dose measured when the eye lens was located in the middle of the x-ray beam. Positioning head phantom off-isocenter by 4 cm and employing a narrow wedge filter results in a moderate reduction of signal-to-noise ratio mainly to the peripheral region of the phantom. Conclusions: Despite typical peak doses to skin, eye lens, brain, and RBM from the standard low-dose brain perfusion 256-slice CT protocol are well below the corresponding thresholds for the induction of erythema, cataract, cerebrovascular disease, and depression of hematopoiesis, respectively, every effort should be made toward optimization of the procedure and minimization of dose received by these tissues. The current study provides evidence that the use of the narrower bowtie filter available may considerably reduce peak absorbed dose to all above radiosensitive tissues with minimal deterioration in image quality. Considerable reduction in peak eye-lens dose may also be achieved by positioning patient head center a few centimeters above isocenter during the exposure.

  8. A Regional Approach to Market Monitoring in the West

    E-Print Network [OSTI]

    Barmack, Matthew; Kahn, Edward; Tierney, Susan; Goldman, Charles

    2006-01-01T23:59:59.000Z

    for trading standardized natural gas, power, and otherof bilateral trading in wholesale power markets. Volumes onahead on-peak power prices at two major trading hubs in the

  9. Daily HMS Extremes in Met Data - Hanford Site

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily HMS

  10. Daily OMP Retro 4-29-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily HMS430

  11. Daily OMP Retro 4-30-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily HMS430244

  12. Daily OMP Retro 5-1-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily

  13. Daily OMP Retro 5-2-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily78 1115

  14. Daily OMP Retro 6-30-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily78 11150

  15. Daily OMP Retro 7-1-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily78 111505

  16. Daily OMP Retro 7-15-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily78 1115050

  17. Daily OMP Retro 7-16-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily78

  18. Daily OMP Retro 7-2-12.xls

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216Daily780 1062

  19. Property:DailyOpWaterUseConsumed | 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 PwerPerkins County, Nebraska:PrecourtOid Jump to: navigation, search ThisDailyOpWaterUseConsumed

  20. McGinness Hills Well 27A-10 Daily Drilling Report Data

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

    Knudsen, Steven

    This data should be used with the daily drilling record and other data which can be obtained from the contact listed below

  1. McGinness Hills Well 27A-10 Daily Drilling Report Data

    SciTech Connect (OSTI)

    Knudsen, Steven

    2014-03-25T23:59:59.000Z

    This data should be used with the daily drilling record and other data which can be obtained from the contact listed below

  2. A Harmonic Approach for Calculating Daily Temperature Normals Constrained by2 Homogenized Monthly Temperature Normals3

    E-Print Network [OSTI]

    1 1 A Harmonic Approach for Calculating Daily Temperature Normals Constrained by2 Homogenized a constrained harmonic technique that forces the daily30 temperature normals to be consistent with the monthly, or harmonic even though the annual march of temperatures for some locations can be highly asymmetric. Here, we

  3. Supervised Classification of Activities of Daily Living in Health Smart Homes using SVM

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Supervised Classification of Activities of Daily Living in Health Smart Homes using SVM Anthony) on real data. Index Terms--Support vector machines, Activities of Daily Living, Health Smart Homes, Sensor smart homes to achieve this goal [1]. Several solutions are stud- ied by laboratories and companies

  4. A preliminary study of the linear relationship between monthly averaged daily solar radiation and daily thermal amplitude in the north of Buenos Aires provence

    E-Print Network [OSTI]

    Cionco, R; Rodriguez, R

    2012-01-01T23:59:59.000Z

    Using irradiance and temperature measurements obtained at the Facultad Regional San Nicol\\'as of UTN, we performed a preliminary study of the linear relationship between monthly averaged daily solar radiation and daily thermal amplitude. The results show a very satisfactory adjustment (R = 0.848, RMS = 0.066, RMS% = 9.690 %), even taking into account the limited number of months (36). Thus, we have a formula of predictive nature, capable of estimating mean monthly solar radiation for various applications. We expect to have new data sets to expand and improve the statistical significance of these results.

  5. Daily digestible protein and energy requirements for growth and maintenance of sub-adult Pacific white shrimp (Litopenaeus vannamei)

    E-Print Network [OSTI]

    Siccardi, Anthony Joseph, III

    2009-06-02T23:59:59.000Z

    This study utilized two diets (25 and 35% crude protein) fed at 10 different rates to produce differences in shrimp specific growth rate which were regressed against daily digestible protein (DP) and digestible energy (DE) intake to estimate daily...

  6. Interpolating Vancouver's Daily Ambient PM10 Field Li Sun James V. Zidek Nhu D. Le Haluk Ozkaynak

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Interpolating Vancouver's Daily Ambient PM10 Field Li Sun James V. Zidek Nhu D. Le Haluk Ozkaynak the Center's primary funding. #12;Interpolating Vancouver's Daily Ambient PM10 Field Li Sun1 , James V Zidek1

  7. Combined Total Amount of Oil and Gas Recovered Daily from the...

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

    XLS Combined Total Amount of Oil and Gas Recovered Daily from the Top Hat and Choke Line oil recovery systems - XLS Updated through 12:00 AM on July 16, 2010. 52Item84Recovery...

  8. Combined Total Amount of Oil and Gas Recovered Daily from the...

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

    ODS format Combined Total Amount of Oil and Gas Recovered Daily from the Top Hat and Choke Line oil recovery systems - ODS format Updated through 12:00 AM on July 16, 2010....

  9. Cakewalking into representation : Gabriele Münter's America travels (1898-1900) and art of dailiness

    E-Print Network [OSTI]

    Bible, Ann Vollmann

    2008-01-01T23:59:59.000Z

    This study explores the fashioning of Gabriele Münter as a German modernist with a focus on the eclipse of her struggles in coming to representation, the rich complexity of her processes, and the importance of dailiness ...

  10. Nanotechnology in our Daily Life Iridescent car paint: Based on interference colors

    E-Print Network [OSTI]

    Himpsel, Franz J.

    Nanotechnology in our Daily Life Iridescent car paint: Based on interference colors (like a butterly, no bleaching after 5 years Miami) #12;Nanotechnology on our Desktops Hard Disk Sensor Medium

  11. Daily variations in delivered doses in patients treated with radiotherapy for localized prostate cancer

    SciTech Connect (OSTI)

    Kupelian, Patrick A. [Department of Radiation Oncology, M.D. Anderson Cancer Center Orlando, Orlando, FL (United States)]. E-mail: patrick.kupelian@orhs.org; Langen, Katja M. [Department of Radiation Oncology, M.D. Anderson Cancer Center Orlando, Orlando, FL (United States); Zeidan, Omar A. [Department of Radiation Oncology, M.D. Anderson Cancer Center Orlando, Orlando, FL (United States); Meeks, Sanford L. [Department of Radiation Oncology, M.D. Anderson Cancer Center Orlando, Orlando, FL (United States); Willoughby, Twyla R. [Department of Radiation Oncology, M.D. Anderson Cancer Center Orlando, Orlando, FL (United States); Wagner, Thomas H. [Department of Radiation Oncology, M.D. Anderson Cancer Center Orlando, Orlando, FL (United States); Jeswani, Sam [TomoTherapy Inc., Madison, WI (United States); Ruchala, Kenneth J. [TomoTherapy Inc., Madison, WI (United States); Haimerl, Jason [TomoTherapy Inc., Madison, WI (United States); Olivera, Gustavo H. [TomoTherapy Inc., Madison, WI (United States); University of Wisconsin-Madison, Madison, WI (United States)

    2006-11-01T23:59:59.000Z

    Purpose: The aim of this work was to study the variations in delivered doses to the prostate, rectum, and bladder during a full course of image-guided external beam radiotherapy. Methods and Materials: Ten patients with localized prostate cancer were treated with helical tomotherapy to 78 Gy at 2 Gy per fraction in 39 fractions. Daily target localization was performed using intraprostatic fiducials and daily megavoltage pelvic computed tomography (CT) scans, resulting in a total of 390 CT scans. The prostate, rectum, and bladder were manually contoured on each CT by a single physician. Daily dosimetric analysis was performed with dose recalculation. The study endpoints were D95 (dose to 95% of the prostate), rV2 (absolute rectal volume receiving 2 Gy), and bV2 (absolute bladder volume receiving 2 Gy). Results: For the entire cohort, the average D95 ({+-}SD) was 2.02 {+-} 0.04 Gy (range, 1.79-2.20 Gy). The average rV2 ({+-}SD) was 7.0 {+-} 8.1 cc (range, 0.1-67.3 cc). The average bV2 ({+-}SD) was 8.7 {+-} 6.8 cc (range, 0.3-36.8 cc). Unlike doses for the prostate, there was significant daily variation in rectal and bladder doses, mostly because of variations in volume and shape of these organs. Conclusion: Large variations in delivered doses to the rectum and bladder can be documented with daily megavoltage CT scans. Image guidance for the targeting of the prostate, even with intraprostatic fiducials, does not take into account the variation in actual rectal and bladder doses. The clinical impact of techniques that take into account such dosimetric parameters in daily patient set-ups should be investigated.

  12. DESIGN CONSIDERATIONS ON PEAK POWER CLIPPING THRESHOLDS IN MICROGRIDS

    E-Print Network [OSTI]

    Paderborn, Universität

    the utility grid. This kind of operating strategy is called e.g. "peak load shaving", "peak power reduction. This method is broadly applicable to similar applications, e.g. for peak-shaving of PV power to limit" or just "peak shaving" and is applied to diverse applications and systems. This paper presents a method

  13. California's Greenhouse Gas Policies: Local Solutions to a Global Problem?

    E-Print Network [OSTI]

    Bushnell, Jim B; Peterman, Carla Joy; Wolfram, Catherine D

    2007-01-01T23:59:59.000Z

    1368 by shifting their power purchases to low- carbon powerCalifornia firms could purchase power under SB 1368. Carbonterm purchases, such as the daily wholesale power market,

  14. Space and Earth Sciences News Your daily source for the latest space and earth sciences news

    E-Print Network [OSTI]

    Nahar, Sultana Nurun

    ://www.sciencedaily.com/releases /2011/06/110624111946.htm) , Fri 24 Jun 11 from ScienceDaily Astronomy could yield cancer treatments (http://www.upi.com/Science_News/2011/06 /24/Astronomy-could-yield-cancer-treatments/UPI-53141308950652 and its billions of stars could lead to new cancer treatment therapies. Fri 24 Jun 11 from UPI Star X

  15. Water Research 37 (2003) 37563766 Seasonal and daily variations in concentrations of methyl-

    E-Print Network [OSTI]

    Toran, Laura

    - tertiary-butyl ether (MTBE) at Cranberry Lake, New Jersey Laura Torana, *, Charles Lipkaa , Arthur Baehrb; accepted 24 March 2003 Abstract Methyl-tertiary-butyl ether (MTBE), an additive used to oxygenate gasoline of gasoline-powered watercraft. This paper documents and explains both seasonal and daily variations in MTBE

  16. Home Science One fish, two fish, dumb fish, dead fish DAILY SECTIONS

    E-Print Network [OSTI]

    Fernald, Russell

    Home Science One fish, two fish, dumb fish, dead fish Home DAILY SECTIONS News Sports Opinion Arts America! Study Spanish & Volunteer ONE FISH, TWO FISH, DUMB FISH, DEAD FISH | Print | E- mail Written scientists say fish are capable of deducing how they stack up against the competition by simply watching

  17. Daily air pollution effects on children's respiratory symptoms and peak expiratory flow

    SciTech Connect (OSTI)

    Vedal, S.; Schenker, M.B.; Munoz, A.; Samet, J.M.; Batterman, S.; Speizer, F.E.

    1987-06-01T23:59:59.000Z

    To identify acute respiratory health effects associated with air pollution due to coal combustion, a subgroup of elementary school-aged children was selected from a large cross-sectional study and followed daily for eight months. Children were selected to obtain three equal-sized groups: one without respiratory symptoms, one with symptoms of persistent wheeze, and one with cough or phlegm production but without persistent wheeze. Parents completed a daily diary of symptoms from which illness constellations of upper respiratory illness (URI) and lower respiratory illness (LRI) and the symptom of wheeze were derived. Peak expiratory flow rate (PEFR) was measured daily for nine consecutive weeks during the eight-month study period. Maximum hourly concentrations of sulfur dioxide, nitrogen dioxide, ozone, and coefficient of haze for each 24-hour period, as well as minimum hourly temperature, were correlated with daily URI, LRI, wheeze, and PEFR using multiple regression models adjusting for illness occurrence or level of PEFR on the immediately preceding day. Respiratory illness on the preceding day was the most important predictor of current illness. A drop in temperature was associated with increased URI and LRI but not with increased wheeze or with a decrease in level of PEFR. No air pollutant was strongly associated with respiratory illness or with level of PEFR, either in the group of children as a whole, or in either of the symptomatic subgroups; the pollutant concentrations observed, however, were uniformly lower than current ambient air quality standards.

  18. Biomass burning emission inventory with daily resolution: Application to aircraft observations of Asian outflow

    E-Print Network [OSTI]

    Palmer, Paul

    Biomass burning emission inventory with daily resolution: Application to aircraft observations for biomass burning using AVHRR satellite observations of fire activity corrected for data gaps and scan angle biomass burning in SE Asia was a major contributor to the outflow of Asian pollution observed in TRACE

  19. Wave-Induced Mass Transport Affects Daily Escherichia coli Fluctuations in Nearshore Water

    E-Print Network [OSTI]

    increase in Escherichia coli (E. coli) concentration in beach water, previously observed at marine sitesWave-Induced Mass Transport Affects Daily Escherichia coli Fluctuations in Nearshore Water Zhongfu to assess the contribution of surface waves to the observed nighttime E. coli replenishment in the nearshore

  20. University of Connecticut Daily Temperature Log for Unit Based Medication Refrigerators

    E-Print Network [OSTI]

    Oliver, Douglas L.

    University of Connecticut Daily Temperature Log for Unit Based Medication Refrigerators Month: If the refrigerator temperature falls out of the acceptable range of 36 to 46 degrees Fahrenheit or 2.2 to 7.7 degrees. * If the refrigerator temperature falls out of range please document your actions in the follow-up column. #12;

  1. Abstract--Using a bioenergetics model, we estimated daily ration and

    E-Print Network [OSTI]

    332 Abstract--Using a bioenergetics model, we estimated daily ration and seasonal prey consumption sandbar sharks (Carcharhinus plumbeus) in Chesapeake Bay, Virginia, using a bioenergetics model* W. Wesley used in error analyses of the sandbar shark (Carcharhinus plumbeus) bioenergetics model. See text

  2. Forecasting of preprocessed daily solar radiation time series using neural networks

    E-Print Network [OSTI]

    Boyer, Edmond

    Forecasting of preprocessed daily solar radiation time series using neural networks Christophe prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE ~ 21 t or at day d and year y d H0 Extraterrestrial solar radiation coefficient for day d [MJ/m²] xt, xd,y Time

  3. Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal Distributions

    E-Print Network [OSTI]

    Wang, Jin

    Distributions Jin Wang Department of Mathematics and Computer Science Valdosta State University Valdosta, GA 31698-0040 January 28, 2000 Abstract The mixture of normal distributions provides a useful extension of the normal distribution for modeling of daily changes in market variables with fatter-than-normal tails

  4. Modelling the convenience yield in carbon prices using daily and realized measures

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ) for crude oil or natural gas markets. This article focuses on the modelling of the convenience yield, and economic risks specific to this market (see Chevallier et al. (2009) for more details). Besides, carbon: This article investigates the modelling of the convenience yield in the European carbon market by using daily

  5. A Model for Predicting Daily Peak Visitation and Implications for Recreation Management and Water Quality: Evidence

    E-Print Network [OSTI]

    carrying capacity. Keywords Visitation model Á Recreation management Á Water quality Á River visitation ÁA Model for Predicting Daily Peak Visitation and Implications for Recreation Management and Water Quality: Evidence from Two Rivers in Puerto Rico Luis E. Santiago � Armando Gonzalez-Caban � John Loomis

  6. FOOD HABITS AND DAILY RATION OF GREENLAND HALIBUT, REINHARDTIUS HIPPOGLOSSOIDES, IN

    E-Print Network [OSTI]

    FOOD HABITS AND DAILY RATION OF GREENLAND HALIBUT, REINHARDTIUS HIPPOGLOSSOIDES, IN THE EASTERN BERING SEA M. S. YANG AND P. A. LIVINGSTON1 ABSTRACT This study shows that diet of Greenland halibut varies mainly by depth and size, and that size of prey fish increases as the Greenland halibut increases

  7. Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Optimization of an artificial neural network dedicated to the multivariate forecasting of daily Ajaccio, France Abstract. This paper presents an application of Artificial Neural Networks (ANNs Artificial Neural Networks (ANNs) which are a popular artificial intelligence technique in the forecasting

  8. LCA comparison of windrow composting of yard wastes with use as alternative daily cover (ADC)

    E-Print Network [OSTI]

    Columbia University

    LCA comparison of windrow composting of yard wastes with use as alternative daily cover (ADC) Rob 7 July 2010 a b s t r a c t This study compared the environmental impacts of composting yard wastes for the environment than windrow composting. ADC use is also a less costly means of disposal of yard wastes

  9. Daily Texan April 1, 2014 Keeping Tower dark for Earth Hour was

    E-Print Network [OSTI]

    John, Lizy Kurian

    of the University's Energy and Water Conservation program, said the Tower going dark was a gesture similarDaily Texan April 1, 2014 Keeping Tower dark for Earth Hour was intended to raise awareness British thermal units, of natural gas. According to the University's Utilities and Energy Management

  10. Space Physics In our daily environment, we encounter matter in three

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Space Physics In our daily environment, we encounter matter in three different states: solid, liquid, and gas. In space, a fourth state of matter exists: the plasma state. Plasma is like a gas processes of space plasmas because those in near-Earth space can seriously affect modern technologies like

  11. Why should I recycle? The average American generates 4.5 pounds of waste daily.

    E-Print Network [OSTI]

    Tsien, Roger Y.

    Why should I recycle? The average American generates 4.5 pounds of waste daily. Instead of throwing paper and containers in the trash,recycle them in single-stream receptacles conveniently located throughout campus.These guidelines will help you recycle more and waste less. What's recyclable? · Mixed

  12. CM-1-H Wholesale Power Rate Schedule

    Broader source: Energy.gov [DOE]

    Availability:This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency (hereinafter...

  13. Measuring efficiency in wholesale electricity markets

    SciTech Connect (OSTI)

    Bowden, Nicholas S.

    2009-06-15T23:59:59.000Z

    The mechanisms of the bid-based economic dispatch and market power mitigation algorithms which result in the market clearing price epitomize the complexity of the new regulatory regime. The augmented Lerner Index presented here offers a method to objectively assess the efficiency of the new structure. (author)

  14. Wholesale Power Rate Schedules | Department of Energy

    Energy Savers [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 Siteof Energy 2, 2015Visiting Strong, Smart,Department ofWelcomeWhatWhite| Program

  15. Wholesale Power Rate Schedules | Department of Energy

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

    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 742Energy China 2015ofDepartment of EnergyThe U.S. DepartmentEnergy WASHINGTON, DCOctober 1,

  16. NREL: Transmission Grid Integration - Wholesale Electricity Market

    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 for Renewable Energy: Grid IntegrationReportTransmission Planning andStudy Phase

  17. 2012 Wholesale Power and Transmission Rate

    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(ANL-IN-03-032) -Less isNFebruary 2004August 2011CHPRC ReportKristenWorkshops 2012

  18. 2012 Wholesale Power and Transmission Rate

    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(ANL-IN-03-032) -Less isNFebruary 2004August 2011CHPRC ReportKristenWorkshops 2012B

  19. LLaannggeerrhhaannss LLaabb PPrroottooccoollss Live Fish Care Daily Checklist.docx revised 8/9/13 Page 1 of 1

    E-Print Network [OSTI]

    Langerhans, Brian

    LLaannggeerrhhaannss LLaabb PPrroottooccoollss Live Fish Care Daily Checklist.docx revised 8/9/13 Page 1 of 1 Live Fish Care Daily Checklist D. Clark Labs rooms G-06 & G-08 morning visit: Turn) eggs from fridge in room 382; feed the live fish there Feed hatched Artemia (=brine shrimp) to fry

  20. Evaluation of the MODIS (MOD10A1) daily snow albedo product over the Greenland ice sheet

    E-Print Network [OSTI]

    Box, Jason E.

    Evaluation of the MODIS (MOD10A1) daily snow albedo product over the Greenland ice sheet Julienne C Abstract This study evaluates the performance of the beta-test MODIS (MOD10A1) daily albedo product using with the launch of the first Landsat. Since then, a wide range of optical-wavelength sensors have been launched

  1. A cyclic time-dependent Markov process to model daily patterns in wind turbine power production

    E-Print Network [OSTI]

    Scholz, Teresa; Estanqueiro, Ana

    2013-01-01T23:59:59.000Z

    Wind energy is becoming a top contributor to the renewable energy mix, which raises potential reliability issues for the grid due to the fluctuating nature of its source. To achieve adequate reserve commitment and to promote market participation, it is necessary to provide models that can capture daily patterns in wind power production. This paper presents a cyclic inhomogeneous Markov process, which is based on a three-dimensional state-space (wind power, speed and direction). Each time-dependent transition probability is expressed as a Bernstein polynomial. The model parameters are estimated by solving a constrained optimization problem: The objective function combines two maximum likelihood estimators, one to ensure that the Markov process long-term behavior reproduces the data accurately and another to capture daily fluctuations. A convex formulation for the overall optimization problem is presented and its applicability demonstrated through the analysis of a case-study. The proposed model is capable of r...

  2. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2.

    SciTech Connect (OSTI)

    Thornton, Peter E [ORNL; Thornton, Michele M [ORNL; Mayer, Benjamin W [ORNL; Wilhelmi, Nate [National Center for Atmospheric Research (NCAR); Wei, Yaxing [ORNL; Devarakonda, Ranjeet [ORNL; Cook, Robert B [ORNL

    2014-01-01T23:59:59.000Z

    More information: http://daymet.ornl.gov Presenter: Ranjeet Devarakonda Environmental Sciences Division Oak Ridge National Laboratory (ORNL) Daymet: Daily Surface Weather Data and Climatological Summaries provides gridded estimates of daily weather parameters for North America, including daily continuous surfaces of minimum and maximum temperature, precipitation occurrence and amount, humidity, shortwave radiation, snow water equivalent, and day length. The current data product (Version 2) covers the period January 1, 1980 to December 31, 2013 [1]. The prior product (Version 1) only covered from 1980-2008. Data are available on a daily time step at a 1-km x 1-km spatial resolution in Lambert Conformal Conic projection with a spatial extent that covers the conterminous United States, Mexico, and Southern Canada as meteorological station density allows. Daymet data can be downloaded from 1) the ORNL Distributed Active Archive Center (DAAC) search and order tools (http://daac.ornl.gov/cgi-bin/cart/add2cart.pl?add=1219) or directly from the DAAC FTP site (http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1219) and 2) the Single Pixel Tool [2] and THREDDS (Thematic Real-time Environmental Data Services) Data Server [3]. The Single Pixel Data Extraction Tool allows users to enter a single geographic point by latitude and longitude in decimal degrees. A routine is executed that translates the (lon, lat) coordinates into projected Daymet (x,y) coordinates. These coordinates are used to access the Daymet database of daily-interpolated surface weather variables. Daily data from the nearest 1 km x 1 km Daymet grid cell are extracted from the database and formatted as a table with one column for each Daymet variable and one row for each day. All daily data for selected years are returned as a single (long) table, formatted for display in the browser window. At the top of this table is a link to the same data in a simple comma-separated text format, suitable for import into a spreadsheet or other data analysis software. The Single Pixel Data Extraction Tool also provides the option to download multiple coordinates programmatically. A multiple extractor script is freely available to download at http://daymet.ornl.gov/files/daymet.zip. The ORNL DAAC s THREDDS data server (TDS) provides customized visualization and access to Daymet time series of North American mosaics. Users can subset and download Daymet data via a variety of community standards, including OPeNDAP, NetCDF Subset service, and Open Geospatial Consortium (OGC) Web Map/Coverage Service. The ORNL DAAC TDS also exposes Daymet metadata through its ncISO service to facilitate harvesting Daymet metadata records into 3rd party catalogs. References: [1] Thornton, P.E., M.M. Thornton, B.W. Mayer, N. Wilhelmi, Y. Wei, R. Devarakonda, and R.B. Cook. 2014. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA. [2] Devarakonda R., et al. 2012. Daymet: Single Pixel Data Extraction Tool. Available on-line [http://daymet.ornl.go/singlepixel.html]. [3] Wei Y., et al. 2014. Daymet: Thematic Real-time Environmental Data Services. Available on-line [http://daymet.ornl.gov/thredds_tiles.html].

  3. An analysis of daily precipitation patterns over Texas using empirical orthogonal functions

    E-Print Network [OSTI]

    White, Loren David

    1990-01-01T23:59:59.000Z

    and temporal patterns. The most important EOFs show spatial patterns similar to EOFs obtained from monthly rainfall (Lyons, 1990). Spectral analysis of time coefficients of these EOFs only reveals periodicities less than a month. All seasonal or long... of this study, compared to most other EOF studies, should facilitate this, since individual rainfall events tend to occur on time scales too small to normally be resolved in monthly data. Also, spectral analysis of daily EOF time coefficients will allow...

  4. Infectious Disease Updates To minimize the risk of any infectious disease, practice these daily preventive

    E-Print Network [OSTI]

    Su, Xiao

    these daily preventive measures: · Cover your nose and mouth with a tissue when you cough or sneeze. Throw seconds), especially after you cough or sneeze. Alcohol-based hand cleaners are an alternative://www.sjsu.edu/studenthealth/cold_flu/index.html http://www.cdph.ca.gov/healthinfo/discond/pages/influenza(flu).aspx 2) Pertussis (Whooping Cough) http://www.sjsu.edu/studenthealth/docs/whooping_cough

  5. Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance

    E-Print Network [OSTI]

    Sellers, D.

    2001-01-01T23:59:59.000Z

    Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance By: David Sellers, Senior Engineer, Portland Energy Conservation Inc, Portland, Oregon ABSTRACT This paper discusses using basic... by contacting the author at: Dsellers@peci.org www.peci.org Phone: - 503-248-4636 extension 224 Mailing address through August 3, 2001 Portland Energy Conservation, Inc. 921 SW Washington Street Suite 312 Portland, Oregon 97205 Mailing address after August 3...

  6. Daily Thermal Predictions of the AGR-1 Experiment with Gas Gaps Varying with Time

    SciTech Connect (OSTI)

    Grant Hawkes; James Sterbentz; John Maki; Binh Pham

    2012-06-01T23:59:59.000Z

    A new daily as-run thermal analysis was performed at the Idaho National Laboratory on the Advanced Gas Reactor (AGR) test experiment number one at the Advanced Test Reactor (ATR). This thermal analysis incorporates gas gaps changing with time during the irradiation experiment. The purpose of this analysis was to calculate the daily average temperatures of each compact to compare with experimental results. Post irradiation examination (PIE) measurements of the graphite holder and fuel compacts showed the gas gaps varying from the beginning of life. The control temperature gas gap and the fuel compact – graphite holder gas gaps were linearly changed from the original fabrication dimensions, to the end of irradiation measurements. A steady-state thermal analysis was performed for each daily calculation. These new thermal predictions more closely match the experimental data taken during the experiment than previous analyses. Results are presented comparing normalized compact average temperatures to normalized log(R/B) Kr-85m. The R/B term is the measured release rate divided by the predicted birth rate for the isotope Kr-85m. Correlations between these two normalized values are presented.

  7. SU-E-J-153: MRI Based, Daily Adaptive Radiotherapy for Rectal Cancer: Contour Adaptation

    SciTech Connect (OSTI)

    Kleijnen, J; Burbach, M; Verbraeken, T; Weggers, R; Zoetelief, A; Reerink, O; Lagendijk, J; Raaymakers, B; Asselen, B [University Medical Center Utrecht, Utrecht (Netherlands)

    2014-06-01T23:59:59.000Z

    Purpose: A major hurdle in adaptive radiotherapy is the adaptation of the planning MRI's delineations to the daily anatomy. We therefore investigate the accuracy and time needed for online clinical target volume (CTV) adaptation by radiation therapists (RTT), to be used in MRI-guided adaptive treatments on a MRI-Linac (MRL). Methods: Sixteen patients, diagnosed with early stage rectal cancer, underwent a T2-weighted MRI prior to each fraction of short-course radiotherapy, resulting in 4–5 scans per patient. On these scans, the CTV was delineated according to guidelines by an experienced radiation oncologist (RO) and considered to be the gold standard. For each patient, the first MRI was considered as the planning MRI and matched on bony anatomy to the 3–4 daily MRIs. The planning MRI's CTV delineation was rigidly propagated to the daily MRI scans as a proposal for adaptation. Three RTTs in training started the adaptation of the CTV conform guidelines, after a two hour training lecture and a two patient (n=7) training set. To assess the inter-therapist variation, all three RTTs altered delineations of 3 patients (n=12). One RTT altered the CTV delineations (n=53) of the remaining 11 patients. Time needed for adaptation of the CTV to guidelines was registered.As a measure of agreement, the conformity index (CI) was determined between the RTTs' delineations as a group. Dice similarity coefficients were determined between delineations of the RTT and the RO. Results: We found good agreement between RTTs' and RO's delineations (average Dice=0.91, SD=0.03). Furthermore, the inter-observer agreement between the RTTs was high (average CI=0.94, SD=0.02). Adaptation time reduced from 10:33 min (SD= 3:46) to 2:56 min (SD=1:06) between the first and last ten delineations, respectively. Conclusion: Daily CTV adaptation by RTTs, seems a feasible and safe way to introduce daily, online MRI-based plan adaptation for a MRL.

  8. A method to estimate the effect of deformable image registration uncertainties on daily dose mapping

    SciTech Connect (OSTI)

    Murphy, Martin J.; Salguero, Francisco J.; Siebers, Jeffrey V.; Staub, David; Vaman, Constantin [Department of Radiation Oncology, Virginia Commonwealth University, Richmond Virginia 23298 (United States)

    2012-02-15T23:59:59.000Z

    Purpose: To develop a statistical sampling procedure for spatially-correlated uncertainties in deformable image registration and then use it to demonstrate their effect on daily dose mapping. Methods: Sequential daily CT studies are acquired to map anatomical variations prior to fractionated external beam radiotherapy. The CTs are deformably registered to the planning CT to obtain displacement vector fields (DVFs). The DVFs are used to accumulate the dose delivered each day onto the planning CT. Each DVF has spatially-correlated uncertainties associated with it. Principal components analysis (PCA) is applied to measured DVF error maps to produce decorrelated principal component modes of the errors. The modes are sampled independently and reconstructed to produce synthetic registration error maps. The synthetic error maps are convolved with dose mapped via deformable registration to model the resulting uncertainty in the dose mapping. The results are compared to the dose mapping uncertainty that would result from uncorrelated DVF errors that vary randomly from voxel to voxel. Results: The error sampling method is shown to produce synthetic DVF error maps that are statistically indistinguishable from the observed error maps. Spatially-correlated DVF uncertainties modeled by our procedure produce patterns of dose mapping error that are different from that due to randomly distributed uncertainties. Conclusions: Deformable image registration uncertainties have complex spatial distributions. The authors have developed and tested a method to decorrelate the spatial uncertainties and make statistical samples of highly correlated error maps. The sample error maps can be used to investigate the effect of DVF uncertainties on daily dose mapping via deformable image registration. An initial demonstration of this methodology shows that dose mapping uncertainties can be sensitive to spatial patterns in the DVF uncertainties.

  9. The heritability of daily ranges in rectal temperature, respiration rate, and pulse rate in lactating cows 

    E-Print Network [OSTI]

    Vega C., Eduardo Humberto

    1957-01-01T23:59:59.000Z

    the data were oolleoted. K. ghly significant oorrelations of temperature with stags of lactation and of respiration with stage of lactation were found among Jerseys, among Holsteins highly significant correlations were found as follows: temperature... in rectal temperature can be expla. 'mod on '. hs basis of the regression of this variable on stage of lactation~ while 10. 5T of the variation in the daily range in respiration rate ca; be explain. d on the basis of the regress'. i n of dai&~ range...

  10. Comparison of approaches for spatial interpolation of daily air temperature in a large region with complex topography

    E-Print Network [OSTI]

    McKendry, Ian

    ., 2001; Jarvis and Stuart, 2001; Hasenauer et al., 2003; Garen and Marks, 2005). In mountainous regions methods for spatial interpolation of daily maximum and minimum temperature (e.g., Dodson and Marks, 1997

  11. Assessment of clear and cloudy sky parameterizations for daily downwelling longwave radiation over different land surfaces in

    E-Print Network [OSTI]

    meteorological data, resulting in reliable quantification of net radiation and evapotranspiration in FloridaAssessment of clear and cloudy sky parameterizations for daily downwelling longwave radiation over sky downwelling longwave radiation (Rldc) and cloudy sky downwelling longwave radiation (Rld) formulas

  12. Behaviour of ambient temperature on daily basis in Italian climate V. Cuomo, F. Fontana and C. Serio

    E-Print Network [OSTI]

    Boyer, Edmond

    , such as the design and performances calculations of renewable energy tech- nologies (e.g. solar energy systems for modelling daily global solar irradiance Article published online by EDP Sciences and available at http

  13. Towards Automated Models of Activities of Daily Life Michael Beetz, Jan Bandouch, Dominik Jain and Moritz Tenorth

    E-Print Network [OSTI]

    Cremers, Daniel

    Towards Automated Models of Activities of Daily Life Michael Beetz, Jan Bandouch, Dominik Jain and Moritz Tenorth Intelligent Autonomous Systems, Technische Universit¨at M¨unchen {beetz, bandouch, jain

  14. Daily diaries of respiratory symptoms and air pollution: Methodological issues and results

    SciTech Connect (OSTI)

    Schwartz, J. (Environmental Protection Agency, Washington, DC (United States)); Wypij, D.; Dockery D.; Ware, J.; Spengler, J.; Ferris, B. Jr. (Harvard School of Public Health, Boston, MA (United States)); Zeger, S. (Johns Hopkins School of Hygiene and Public Health, Baltimore, MD (United States))

    1991-01-01T23:59:59.000Z

    Daily diaries of respiratory symptoms are a powerful technique for detecting acute effects of air pollution exposure. While conceptually simple, these diary studies can be difficult to analyze. The daily symptom rates are highly correlated, even after adjustment for covariates, and this lack of independence must be considered in the analysis. Possible approaches include the use of incidence instead of prevalence rates and autoregressive models. Heterogeneity among subjects also induces dependencies in the data. These can be addressed by stratification and by two-stage models such as those developed by Korn and Whittemore. These approaches have been applied to two data sets: a cohort of school children participating in the Harvard Six Cities Study and a cohort of student nurses in Los Angeles. Both data sets provide evidence of autocorrelation and heterogeneity. Controlling for autocorrelation corrects the precision estimates, and because diary data are usually positively autocorrelated, this leads to larger variance estimates. Controlling for heterogeneity among subjects appears to increase the effect sizes for air pollution exposure. Preliminary results indicate associations between sulfur dioxide and cough incidence in children and between nitrogen dioxide and phlegm incidence in student nurses.

  15. Daily movements of female white-tailed deer relative to parturition and breeding.

    SciTech Connect (OSTI)

    Gino J. D'Angelo; Christopher E. Comer; John C. Kilgo; Cory D. Drennan; David A. Osborn; Karl V. Miller

    2005-10-01T23:59:59.000Z

    Abstract: To assess how white-tailed deer (Odocoileus virginianus) herd demographics influence reproductive behaviors, we examined 24-h diel movements of female whitetailed deer relative to parturition and breeding in a low-density population with a near even sex ratio at the Savannah River Site (SRS), South Carolina. We conducted a series of intensive, 24-h radio-tracking periods of 13 females during spring and fall 2002. We compared daily range (ha), rate of travel (m/h), and distance between extreme daily locations (m), among the periods of pre-parturition and post-parturition and pre-, peak-, and post-rut. From pre-parturition to post-parturition, we observed decreases in diel range size (�¢����38.2%), distance between extreme diel locations (�¢����17.0%), and diel rate of travel (�¢����18.2%). Diel range size, distance between extreme diel locations, and diel rate of travel during the pre-rut and rut exceeded those observed during post-rut. We further identified substantial increases in mobility during 12 24-h diel periods for eight females during our fall monitoring. Our data suggest that female white-tailed deer reduce mobility post-fawning following exaggerated movements during pre-parturition. Furthermore, despite a near equal sex ratio, estrous does may be required to actively seek potential mates due to low population density.

  16. Real-Time Study of Prostate Intrafraction Motion During External Beam Radiotherapy With Daily Endorectal Balloon

    SciTech Connect (OSTI)

    Both, Stefan, E-mail: Stefan.Both@uphs.upenn.edu [Department of Radiation Oncology, Hospital of University of Pennsylvania, Philadelphia, PA (United States); Wang, Ken Kang-Hsin; Plastaras, John P.; Deville, Curtiland; Bar Ad, Voika; Tochner, Zelig; Vapiwala, Neha [Department of Radiation Oncology, Hospital of University of Pennsylvania, Philadelphia, PA (United States)

    2011-12-01T23:59:59.000Z

    Purpose: To prospectively investigate intrafraction prostate motion during radiofrequency-guided prostate radiotherapy with implanted electromagnetic transponders when daily endorectal balloon (ERB) is used. Methods and Materials: Intrafraction prostate motion from 24 patients in 787 treatment sessions was evaluated based on three-dimensional (3D), lateral, cranial-caudal (CC), and anterior-posterior (AP) displacements. The mean percentage of time with 3D, lateral, CC, and AP prostate displacements >2, 3, 4, 5, 6, 7, 8, 9, and 10 mm in 1 minute intervals was calculated for up to 6 minutes of treatment time. Correlation between the mean percentage time with 3D prostate displacement >3 mm vs. treatment week was investigated. Results: The percentage of time with 3D prostate movement >2, 3, and 4 mm increased with elapsed treatment time (p < 0.05). Prostate movement >5 mm was independent of elapsed treatment time (p = 0.11). The overall mean time with prostate excursions >3 mm was 5%. Directional analysis showed negligible lateral prostate motion; AP and CC motion were comparable. The fraction of time with 3D prostate movement >3 mm did not depend on treatment week of (p > 0.05) over a 4-minute mean treatment time. Conclusions: Daily endorectal balloon consistently stabilizes the prostate, preventing clinically significant displacement (>5 mm). A 3-mm internal margin may sufficiently account for 95% of intrafraction prostate movement for up to 6 minutes of treatment time. Directional analysis suggests that the lateral internal margin could be further reduced to 2 mm.

  17. 54 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 1, JANUARY 2006 Microwave Observations of Daily Antarctic Sea-Ice

    E-Print Network [OSTI]

    Long, David G.

    of the sea-ice pack. To estimate the probability distribution of daily Antarctic sea-ice extent change, two is similar and is approxi- mately double-exponential. Daily ice-pack statistics are presented. Index Terms of Daily Antarctic Sea-Ice Edge Expansion and Contraction Rates Jeffrey R. Allen and David G. Long, Senior

  18. Wholesale Electricity PriceWholesale Electricity Price and Retail Requirements,and Retail Requirements,

    E-Print Network [OSTI]

    Requirements, and Natural Gas Priceand Natural Gas Price ForecastsForecasts Michael Schilmoeller Power Natural gas price #12;Page 2 3 Current Electricity Price ForecastCurrent Electricity Price Forecast recent electricity requirements forecast Most recent (11/28/2008) natural gas price forecast

  19. SU-D-BRF-04: Digital Tomosynthesis for Improved Daily Setup in Treatment of Liver Lesions

    SciTech Connect (OSTI)

    Armstrong, H; Jones, B; Miften, M [University of Colorado School of Medicine, Aurora, CO (United States)

    2014-06-01T23:59:59.000Z

    Purpose: Daily localization of liver lesions with cone-beam CT (CBCT) is difficult due to poor image quality caused by scatter, respiratory motion, and the lack of radiographic contrast between the liver parenchyma and the lesion(s). Digital tomosynthesis (DTS) is investigated as a modality to improve liver visualization and lesion/parenchyma contrast for daily setup. Methods: An in-house tool was developed to generate DTS images using a point-by-point filtered back-projection method from on-board CBCT projection data. DTS image planes are generated in a user defined orientation to visualize the anatomy at various depths. Reference DTS images are obtained from forward projection of the planning CT dataset at each projection angle. The CBCT DTS image set can then be registered to the reference DTS image set as a means for localization. Contour data from the planning CT's associate RT Structure file and forward projected similarly to the planning CT data. DTS images are created for each contoured structure, which can then be overlaid onto the DTS images for organ volume visualization. Results: High resolution DTS images generated from CBCT projections show fine anatomical detail, including small blood vessels, within the patient. However, the reference DTS images generated from forward projection of the planning CT lacks this level of detail due to the low resolution of the CT voxels as compared to the pixel size in the projection images; typically 1mm-by-1mm-by-3mm (lat, vrt, lng) for the planning CT vs. 0.4mm-by-0.4mm for CBCT projections. Overlaying of the contours onto the DTS image allows for visualization of structures of interest. Conclusion: The ability to generate DTS images over a limited range of projection angles allows for reduction in the amount of respiratory motion within each acquisition. DTS may provide improved visualization of structures and lesions as compared to CBCT for highly mobile tumors.

  20. Assessing Energy Impact of Plug-In Hybrid Electric Vehicles: Significance of Daily Distance Variation over Time and Among Drivers

    SciTech Connect (OSTI)

    Lin, Zhenhong [ORNL; Greene, David L [ORNL

    2012-01-01T23:59:59.000Z

    Accurate assessment of the impact of plug-in hybrid electric vehicles (PHEVs) on petroleum and electricity consumption is a necessary step toward effective policies. Variations in daily vehicle miles traveled (VMT) over time and among drivers affect PHEV energy impact, but the significance is not well understood. This paper uses a graphical illustration, a mathematical derivation, and an empirical study to examine the cause and significance of such an effect. The first two methods reveal that ignoring daily variation in VMT always causes underestimation of petroleum consumption and overestimation of electricity consumption by PHEVs; both biases increase as the assumed PHEV charge-depleting (CD) range moves closer to the average daily VMT. The empirical analysis based on national travel survey data shows that the assumption of uniform daily VMT over time and among drivers causes nearly 68% underestimation of expected petroleum use and nearly 48% overestimation of expected electricity use by PHEVs with a 40-mi CD range (PHEV40s). Also for PHEV40s, consideration of daily variation in VMT over time but not among drivers similar to the way the utility factor curve is derived in SAE Standard SAE J2841 causes underestimation of expected petroleum use by more than 24% and overestimation of expected electricity use by about 17%. Underestimation of petroleum use and overestimation of electricity use increase with larger-battery PHEVs.

  1. Daily dose monitoring with atlas-based auto-segmentation on diagnostic quality CT for prostate cancer

    SciTech Connect (OSTI)

    Li, Wen; Vassil, Andrew; Xia, Ping [Department of Radiation Oncology, Cleveland Clinic Foundation, Cleveland, Ohio 44106 (United States)] [Department of Radiation Oncology, Cleveland Clinic Foundation, Cleveland, Ohio 44106 (United States); Zhong, Yahua [Department of Radiation Oncology, Zhongnan Hospital, Wuhan 430071 (China)] [Department of Radiation Oncology, Zhongnan Hospital, Wuhan 430071 (China)

    2013-11-15T23:59:59.000Z

    Purpose: To evaluate the feasibility of daily dose monitoring using a patient specific atlas-based autosegmentation method on diagnostic quality verification images.Methods: Seven patients, who were treated for prostate cancer with intensity modulated radiotherapy under daily imaging guidance of a CT-on-rails system, were selected for this study. The prostate, rectum, and bladder were manually contoured on the first six and last seven sets of daily verification images. For each patient, three patient specific atlases were constructed using manual contours from planning CT alone (1-image atlas), planning CT plus first three verification CTs (4-image atlas), and planning CT plus first six verification CTs (7-image atlas). These atlases were subsequently applied to the last seven verification image sets of the same patient to generate the auto-contours. Daily dose was calculated by applying the original treatment plans to the daily beam isocenters. The autocontours and manual contours were compared geometrically using the dice similarity coefficient (DSC), and dosimetrically using the dose to 99% of the prostate CTV (D99) and the D5 of rectum and bladder.Results: The DSC of the autocontours obtained with the 4-image atlases were 87.0%± 3.3%, 84.7%± 8.6%, and 93.6%± 4.3% for the prostate, rectum, and bladder, respectively. These indices were higher than those from the 1-image atlases (p < 0.01) and comparable to those from the 7-image atlases (p > 0.05). Daily prostate D99 of the autocontours was comparable to those of the manual contours (p= 0.55). For the bladder and rectum, the daily D5 were 95.5%± 5.9% and 99.1%± 2.6% of the planned D5 for the autocontours compared to 95.3%± 6.7% (p= 0.58) and 99.8%± 2.3% (p < 0.01) for the manual contours.Conclusions: With patient specific 4-image atlases, atlas-based autosegmentation can adequately facilitate daily dose monitoring for prostate cancer.

  2. Reducing Open Cell Landfill Methane Emissions with a Bioactive Alternative Daily

    SciTech Connect (OSTI)

    Helene Hilger; James Oliver; Jean Bogner; David Jones

    2009-03-31T23:59:59.000Z

    Methane and carbon dioxide are formed in landfills as wastes degrade. Molecule-for-molecule, methane is about 20 times more potent than carbon dioxide at trapping heat in the earth's atmosphere, and thus, it is the methane emissions from landfills that are scrutinized. For example, if emissions composed of 60% methane and 40% carbon dioxide were changed to a mix that was 40% methane and 60% carbon dioxide, a 30% reduction in the landfill's global warming potential would result. A 10% methane, 90% carbon dioxide ratio will result in a 75% reduction in global warming potential compared to the baseline. Gas collection from a closed landfill can reduce emissions, and it is sometimes combined with a biocover, an engineered system where methane oxidizing bacteria living in a medium such as compost, convert landfill methane to carbon dioxide and water. Although methane oxidizing bacteria merely convert one greenhouse gas (methane) to another (carbon dioxide), this conversion can offer significant reductions in the overall greenhouse gas contribution, or global warming potential, associated with the landfill. What has not been addressed to date is the fact that methane can also escape from a landfill when the active cell is being filled with waste. Federal regulations require that newly deposited solid waste to be covered daily with a 6 in layer of soil or an alternative daily cover (ADC), such as a canvas tarp. The aim of this study was to assess the feasibility of immobilizing methane oxidizing bacteria into a tarp-like matrix that could be used for alternative daily cover at open landfill cells to prevent methane emissions. A unique method of isolating methanotrophs from landfill cover soil was used to create a liquid culture of mixed methanotrophs. A variety of prospective immobilization techniques were used to affix the bacteria in a tarp-like matrix. Both gel encapsulation of methanotrophs and gels with liquid cores containing methanotrophs were readily made but prone to rapid desiccation. Bacterial adsorption onto foam padding, natural sponge, and geotextile was successful. The most important factor for success appeared to be water holding capacity. Prototype biotarps made with geotextiles plus adsorbed methane oxidizing bacteria were tested for their responses to temperature, intermittent starvation, and washing (to simulate rainfall). The prototypes were mesophilic, and methane oxidation activity remained strong after one cycle of starvation but then declined with repeated cycles. Many of the cells detached with vigorous washing, but at least 30% appeared resistant to sloughing. While laboratory landfill simulations showed that four-layer composite biotarps made with two different types of geotextile could remove up to 50% of influent methane introduced at a flux rate of 22 g m{sup -2} d{sup -1}, field experiments did not yield high activity levels. Tests revealed that there were high hour-to-hour flux variations in the field, which, together with frequent rainfall events, confounded the field testing. Overall, the findings suggest that a methanotroph embedded biotarp appears to be a feasible strategy to mitigate methane emission from landfill cells, although the performance of field-tested biotarps was not robust here. Tarps will likely be best suited for spring and summer use, although the methane oxidizer population may be able to shift and adapt to lower temperatures. The starvation cycling of the tarp may require the capacity for intermittent reinoculation of the cells, although it is also possible that a subpopulation will adapt to the cycling and become dominant. Rainfall is not expected to be a major factor, because a baseline biofilm will be present to repopulate the tarp. If strong performance can be achieved and documented, the biotarp concept could be extended to include interception of other compounds beyond methane, such as volatile aromatic hydrocarbons and chlorinated solvents.

  3. Influence of photoperiod on the time of parturition in the rat. III. Comparison of different daily light lengths with changes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Influence of photoperiod on the time of parturition in the rat. III. Comparison of different daily light lengths with changes in light timing or light pulse given during darkness. M. J. BOSC Agnès to the light regime applied throughout pregnancy (day 1 : beginning of pregnancy). The majority of deliveries

  4. Influence of digestibility of bulky forages in daily gains in penned steers using two levels of supplemented grain

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Influence of digestibility of bulky forages in daily gains in penned steers using two levels Experimental Agropecuaria, 2700 Pergamino, Buenos Aires, Argentina Digestibility of bulky forages directly, 95-121). In general there is more information about high quality forage digestibility than about low

  5. Air pollution and daily mortality in the Coachella Valley, California: A study of PM10 dominated by coarse particles

    SciTech Connect (OSTI)

    Ostro, B.D.; Hurley, S.; Lipsett, M.J.

    1999-10-01T23:59:59.000Z

    Many epidemiological studies provide evidence of an association between airborne particles, measured as PM10 (particulate matter less than 10{micro}m in diameter), and daily morbidity and mortality. Most of these studies have been conducted in urban areas where PM10 consists primarily of fine particles (<2.5 {micro}m in diameter). Few studies have investigated impacts associated with coarse mode particles (>2.5 {micro}m in diameter). The authors investigated associations between PM10 and daily mortality in the Coachella Valley, a desert resort and retirement area east of Los Angeles, where coarse particles of geologic origin typically comprise approximately 50--60% of PM10 and can exceed 90% during wind events. Their analysis utilized daily data on mortality from 1989 through 1992 as well as several pollutant and meteorological variables, including PM10, nitrates, sulfates, ozone, nitrogen dioxide, carbon monoxide, temperature, and relative humidity. Outcome variables included several measures of daily mortality, including all-cause, cardiovascular and respiratory mortality, and counts of deaths for those above age 50. Multivariate Poisson regression models were used to explain these health endpoints, controlling for temperature, humidity, day of the week, season, and time, using locally weighted smoothing techniques. The analysis indicated statistically significant associations between PM10 and each measure of mortality.

  6. Using remotely sensed solar radiation data for reference1 evapotranspiration estimation at a daily time step2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Using remotely sensed solar radiation data for reference1 evapotranspiration estimation: +33 5 57 35 07 59. Email: k-van-leeuwen@enitab.fr13 14 15 Abstract16 Solar radiation is an important database, which displays spatialized19 solar radiation data at a daily time step for Europe and Africa

  7. Statistical correlation between hourly and daily values of solar radiation on horizontal surface at sea level in the Italian climate

    E-Print Network [OSTI]

    Boyer, Edmond

    219- Statistical correlation between hourly and daily values of solar radiation on horizontal- nalières du rayonnement solaire. Abstract. 2014 The knowledge of hourly data of solar radiation is required data measured in Italian stations and propose a method to estimate hourly solar radiation

  8. Researchers Make New Electronics --With A Twist ScienceDaily (Nov. 21, 2008) --They've made

    E-Print Network [OSTI]

    Rogers, John A.

    , is brittle and inflexible. Any significant bending or stretching renders an electronic device useless. HuangResearchers Make New Electronics -- With A Twist ScienceDaily (Nov. 21, 2008) -- They've made electronics that can bend. They've made electronics that can stretch. See also: Health & Medicine Medical

  9. Media Summary 15-28 November 2014 Daily Mail Would you intervene if you saw domestic abuse happening in public

    E-Print Network [OSTI]

    West of England, University of the

    support at Pitch at the Palace Public Finance ­ Build on Brownfield land says housing minister Relocate Magazine ­ Use brownfield sites to protect countryside says report Daily Mail ­ Build one million homes on Brownfield sites to save countryside says campaign Brownfield Briefing ­ Room for one million brownfield

  10. Assessing the Degree of Spot Market Integration For U.S. Natural Gas: Evidence from Daily Price Data

    E-Print Network [OSTI]

    to decouple the production and trading of the commodity natural gas from its transportation. Advocates arguedAssessing the Degree of Spot Market Integration For U.S. Natural Gas: Evidence from Daily Price Economics Abstract: This paper assesses the degree of market integration in the U.S. natural gas market

  11. Daily Processing of Solar System Object Observations by Gaia UMR 6202 Cassiope, University of Nice-Sophia Antipolis, CNRS,

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    complex operations, devoted to obtain the best accuracies in the output. It will operate on data obtainedDaily Processing of Solar System Object Observations by Gaia Tanga, P. UMR 6202 Cassiopée to a selected event. For this reason, a pipeline performing fast processing of Gaia observations of Solar System

  12. Fine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal lagoon in Baja California Sur, Mexico

    E-Print Network [OSTI]

    Gerber, Leah R.

    movements and habitat use of East Pacific green turtles (Chelonia mydas) at Laguna San Ignacio, a shallowFine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal Daily movements Fine scale Green turtle Habitat use Vagility Green turtles spend most of their lives

  13. Assessment and management of interfractional variations in daily diagnostic-quality-CT guided prostate-bed irradiation after prostatectomy

    SciTech Connect (OSTI)

    Liu, Feng; Ahunbay, Ergun; Lawton, Colleen; Allen Li, X., E-mail: ali@mcw.edu [Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 (United States)

    2014-03-15T23:59:59.000Z

    Purpose: To quantify interfractional anatomic variations and limitations of the current practice of image-guided radiation therapy (IGRT) for prostate-bed patients and to study dosimetric benefits of an online adaptive replanning scheme that addresses the interfractional variations. Methods: Contours for the targets and organs at risk (OARs) from daily diagnostic-quality CTs acquired with in-room CT (CTVision, Siemens) were generated by populating the planning contours using an autosegmentation tool based on deformable registration (ABAS, Elekta) with manual editing for ten prostate-bed patients treated with postoperative daily CT-guided IMRT. Dice similarity coefficient (DSC) obtained by maximizing the overlap of contours for a structure between the daily and plan contours was used to quantify the organ deformation between the plan and daily CTs. Three interfractional-variation-correction schemes, the current standard practice of IGRT repositioning, a previously developed online adaptive RT (ART), and the full reoptimization, were applied to these daily CTs and a number of dose-volume quantities for the targets and organs at risk were compared for their effectiveness to account for the interfractional variations. Results: Large interfractional organ deformations in prostate-bed irradiation were seen. The mean DSCs for CTV, rectum, and bladder were 86.6 ± 5.1% (range from 61% to 97%), 77.3% ± 7.4% (range from 55% to 90%), and 75.4% ± 11.2% (range from 46% to 96%), respectively. The fractional and cumulative dose-volume quantities for CTV and PTV: V100 (volume received at least 100% prescription dose), and rectum and bladder: V{sub 45Gy} and V{sub 60Gy} (volume received at least 45 or 60 Gy), were compared for the repositioning, adaptive, reoptimization, and original plans. The fractional and cumulative dosimetric results were nearly the same. The average cumulative CTV V100 were 88.0%, 98.4%, 99.2%, and 99.3% for the IGRT, ART, reoptimization, and original plans, respectively. The corresponding rectal V{sub 45Gy} (V{sub 60Gy}) were 58.7% (27.3%), 48.1% (20.7%), 43.8% (16.1%), and 44.9% (16.8%). The results for bladder were comparable among three schemes. Paired two-tailed Wilcoxon signed-rank tests were performed and it was found that ART and reoptimization provide better target coverage and better OAR sparing, especially rectum sparing. Conclusions: The interfractional organ motions and deformations during prostate-bed irradiation are significant. The online adaptive replanning scheme is capable of effectively addressing the large organ deformation, resulting in cumulative doses equivalent to those originally planned.

  14. DAILY PROGRAMME Day Time Daily Plan

    E-Print Network [OSTI]

    de Villiers, Marienne

    to draw a bird 16:45h - 17:10h Hanneline Smit - Birds and Solar Energy in South Africa 17:10h - 17:35h

  15. Inclusion of Building Envelope Thermal Lag Effects in Linear Regression Models of Daily Basis Building Energy Use Data

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01T23:59:59.000Z

    Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?enhanced?building?operations. October?18?20,?2011,? Brooklyn,?NY. Rabl,?A.?and?Rialhe,?A.?(1992).?Energy?Signature?Models?for?Commercial?Buildings:?Test?with?Measured?Data?and?Interpretation. Energy?and?Buildings,?19,?143?154. Shao,?X.?and?Claridge,?D.E.?(2006).?Use?of?first?law...

  16. Inclusion of Building Envelope Thermal Lag Effects in Linear Regression Models of Daily Basis Building Energy Use Data 

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01T23:59:59.000Z

    Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?enhanced?building?operations. October?18?20,?2011,? Brooklyn,?NY. Rabl,?A.?and?Rialhe,?A.?(1992).?Energy?Signature?Models?for?Commercial?Buildings:?Test?with?Measured?Data?and?Interpretation. Energy?and?Buildings,?19,?143?154. Shao,?X.?and?Claridge,?D.E.?(2006).?Use?of?first?law?energy?balance?as?a?screening?tool?for?building?energy...

  17. Does Increased Exercise or Physical Activity Alter Ad-Libitum Daily Energy Intake or Macronutrient Composition in Healthy Adults? A Systematic Review

    E-Print Network [OSTI]

    Donnelly, Joseph E.; Herrmann, Stephen D.; Lambourne, Kate; Szabo, Amanda N.; Honas, Jeffery J.; Washburn, Richard A.

    2014-01-15T23:59:59.000Z

    Background The magnitude of the negative energy balance induced by exercise may be reduced due to compensatory increases in energy intake. Objective To address the question: Does increased exercise or physical activity alter ad-libitum daily...

  18. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 7, NO. 5, MAY 2014 1745 The HelioClim-1 Database of Daily Solar Radiation

    E-Print Network [OSTI]

    Boyer, Edmond

    , MAY 2014 1745 The HelioClim-1 Database of Daily Solar Radiation at Earth Surface: An Example Abstract--The HelioClim-1 database contains daily values of the solar radiation reaching the ground and accurate knowledge of the solar radiation and its daily, seasonal and annual variations over recent years

  19. SU-E-T-86: Comparison of Two Commercially Available Programs for the Evaluation of Delivered Daily Dose Using Cone Beam CT (CBCT)

    SciTech Connect (OSTI)

    Tuohy, R; Bosse, C; Mavroidis, P; Shi, Z; Crownover, R; Papanikolaou, N; Stathakis, S [University of Texas Health Science Center, UTHSCSA, San Antonio, TX (United States)

    2014-06-01T23:59:59.000Z

    Purpose: In this study, two commercially available programs were compared for the evaluation of delivered daily dose using cone beam CT (CBCT). Methods: Thirty (n=30) patients previously treated in our clinic (10 prostate, 10 SBRT lung and 10 abdomen) were used in this study. The patients' plans were optimized and calculated using the Pinnacle treatment planning system. The daily CBCT scans were imported into Velocity and RayStation along with the corresponding planning CTs, structure sets and 3D dose distributions for each patient. The organs at risk (OAR) were contoured on each CBCT by the prescribing physician and were included in the evaluation of the daily delivered dose. Each CBCT was registered to the planning CT, once with rigid registration and then again, separately, with deformable registration. After registering each CBCT, the dose distribution from the planning CT was overlaid and the dose volume histograms (DVH) for the OAR and the planning target volumes (PTV) were calculated. Results: For prostate patients, we observed daily volume changes for the OARs. The DVH analysis for those patients showed variation in the sparing of the OARs while PTV coverage remained virtually unchanged using both Velocity and RayStation systems. Similar results were observed for abdominal patients. In contrast, for SBRT lung patients, the DVH for the OARs and target were comparable to those from the initial treatment plan. Differences in organ volume and organ doses were also observed when comparing the daily fractions using deformable and rigid registrations. Conclusion: By using daily CBCT dose reconstruction, we proved PTV coverage for prostate and abdominal targets is adequate. However, there is significant dosimetric change for the OARs. For lung SBRT patients, the delivered daily dose for both PTV and OAR is comparable to the planned dose with no significant differences.

  20. Vision Plans State Exam & Materials

    E-Print Network [OSTI]

    Pilyugin, Sergei S.

    copay $60 allowance Frames $75 wholesale $60 retail $75 wholesale $60 retail $50 wholesale $45 retail

  1. Product Design in Enterprise Wide Optimization

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Changing Distribution Model - Uncontrolled Shipping OEM Wholesale Wholesale OEM Wholesale #12;The Markets

  2. The geographic expanse of the market for wholesale electricity

    E-Print Network [OSTI]

    Bailey, Elizabeth M.

    1998-01-01T23:59:59.000Z

    This paper exploits a large mine-level database to contribute to our understanding of the micro-sources of productivity growth. The database contains observations for labor input and coal output at every mine in the United ...

  3. 2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01T23:59:59.000Z

    This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

  4. EIS-0031: Bonneville Power Administration 1979 Wholesale Rate Increase

    Broader source: Energy.gov [DOE]

    The Bonneville Power Administration (BPA) developed this statement to explain the reasons for BPA's proposed power rate schedule, to conduct an analysis of the impacts which the proposal or alternatives thereto could have on both physical and socioeconomic characteristics of the human environment and to identify methods for mitigating the effects of the proposal.

  5. Effects of Demand Response on Retail and Wholesale Power Markets

    SciTech Connect (OSTI)

    Chassin, David P.; Kalsi, Karanjit

    2012-07-26T23:59:59.000Z

    Demand response has grown to be a part of the repertoire of resources used by utilities to manage the balance between generation and load. In recent years, advances in communications and control technology have enabled utilities to consider continuously controlling demand response to meet generation, rather than the other way around. This paper discusses the economic applications of a general method for load resource analysis that parallels the approach used to analyze generation resources and uses the method to examine the results of the US Department of Energy’s Olympic Peninsula Demonstration Testbed. A market-based closed-loop system of controllable assets is discussed with necessary and sufficient conditions on system controllability, observability and stability derived.

  6. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    are added to gasoline at the terminal. Therefore, gasolinegasoline from one market and shipping it to another. These firms may own terminals

  7. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    Regulation Date Utica N Y Harrisburg PA, Philadelphia P AOdessa T X , Tucson A Z Harrisburg PA, Roanoke V A Austin TK S Sinking Springs P A Harrisburg PA, Macungie P A Tucson A

  8. Marketing Practices and Costs of Texas Egg Producer-Wholesalers

    E-Print Network [OSTI]

    Shafer, Carl E.

    1964-01-01T23:59:59.000Z

    and the percentaie of eggs delivered on enterprise on Texas farms. The growth of popu- door-to-door consumer routes. Estimated process- lation and purchasing power and the current ing labor costs per case varied from $1.90 to ?; standing of Texas as a deficit... state in egg pro- cents between groups A and E; delivery labor duction all favor the Texas egg producer. To costs varied from 77 cents to 15 cents per case be take advantage of opportunities in the state tween groups A and G, respectively. market...

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

    E-Print Network [OSTI]

    Holloway, David Wayne

    1990-01-01T23:59:59.000Z

    data from 1965 to 1985 were used. The aggregate system used beef, pork, and chicken, and then disaggregated beef into hamburger and table cuts, and chicken into parts/processed products for the second system. Additional variables in the estimation... shift in demand for beef and pork during the period, and broilers were found to be a strong substitute for beef in the second period. Implications are that there was a structural change in the meat sector during the period, and the decline...

  10. Update On The Wholesale Electricity Price Forecast & Modeling Results

    E-Print Network [OSTI]

    ,877 Replacement #12;CO2 Emission Modeling § The AURORAxmp® electric market model calculates CO2 emission) Assumptions § CO2 emission modeling § Base Case Results § Scenario/Sensitivities § Emission Projections Database ­ eGRID 2012 Year 2009 ­ Emissions, including CO2, are estimated using information from various

  11. 2012 Wholesale Power and Transmission Rate Adjustment Proceeding

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

    Industry DSO Dispatcher Standing Order EIA Energy Information Administration EIS Environmental Impact Statement EN Energy Northwest, Inc. EPP Environmentally Preferred...

  12. CBR-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer Review |PeerOnes |Big

  13. CC-1-I Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer Review |PeerOnes

  14. CEK-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer ReviewCCSCEAJune

  15. CK-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report, March 2013CIGNLFeatured

  16. CM-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report, March003MEAM, MDEA, and SMEPA

  17. CSI-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,TheEnergy December 14, 2007Workshop TranscriptSouthern

  18. VA-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2 1

  19. VA-2-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2

  20. VA-3-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2to

  1. VA-4-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1

  2. VANC-1 Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 16 I

  3. Duke-1-E Wholesale Power Rate Schedule | Department of Energy

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

    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 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov -Purpose(FY)TheAWhat

  4. Duke-2-E Wholesale Power Rate Schedule | Department of Energy

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

    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 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov -Purpose(FY)TheAWhatCentral

  5. CBR-1-H Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding Removal Ongoing atGreenhouse GasesRespond1CALIFORNIAReview

  6. CTV-1-H Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS Letter - Final.tif CSS Letter - Final.tif CSS

  7. CTVI-1-A Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS Letter - Final.tif CSS Letter - Final.tif

  8. JW-1-J Wholesale Power Rate Schedule | 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't YourTransport(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 |Is5:It'sA P21-J

  9. JW-2-F Wholesale Power Rate Schedule | 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't YourTransport(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 |Is5:It'sA P21-J2-F

  10. Pump-1-A Wholesale Power Rate Schedule | 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 - TProcuring SolarNo. 195 -Pueblo de San Ildefonso Pueblo1-A

  11. Pump-2 Wholesale Power Rate Schedule | 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 - TProcuring SolarNo. 195 -Pueblo de San Ildefonso Pueblo1-A2

  12. Regulation-1 Wholesale Power Rate Schedule | 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 -Department of Energyas of 7/16/2015

  13. Replacement-1 Wholesale Power Rate Schedule | 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 -Department of Energyasto theandRenewableReno

  14. SOCO-1-E Wholesale Power Rate Schedule | 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_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment of1-E

  15. SOCO-2-E Wholesale Power Rate Schedule | 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_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment

  16. SOCO-3-E Wholesale Power Rate Schedule | 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_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment3-E

  17. SOCO-4-E Wholesale Power Rate Schedule | 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_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment3-E4-E

  18. AP-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t: (205)Thisand

  19. AP-2-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:

  20. AP-3-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:to whom power

  1. AP-4-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:to whom

  2. Wholesale Heating Oil Weekly Heating Oil and Propane Prices (October -

    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-14TotalTheE. Great Basin Oil andBOEWest4 Paul M.March)

  3. Wholesale Propane Weekly Heating Oil and Propane Prices (October - March)

    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-14TotalTheE. Great Basin Oil andBOEWest4 Paul

  4. ALA-1-N Wholesale Power Rate Schedule | 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 Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartment of EnergyEnergyProposed -Systems |

  5. MISS-1-N Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas »ofMarketing |Prepare

  6. Regulation-1 Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuary 29,3, 2012Visitors Can Register

  7. Replacement-2-A Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, an OHASeptemberAssessments | Department of Energy 1.Department

  8. Replacement-3 Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, an OHASeptemberAssessments | Department of Energy

  9. SOCO-1-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, anEnergyDepartment ofNoneORDERNational WindSNR Denton US LLP 1301

  10. Santee-1-E Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of Reported1-E

  11. Santee-2-E Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of Reported1-E2-E

  12. Santee-3-E Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of

  13. CTV-1-H Wholesale Power Rate Schedule | 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't Your Destiny: Theof Energy Change Request | Domain NameEnergy CTTRANSIT Operates

  14. Duke-1-E Wholesale Power Rate Schedule | 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 Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 Federal Register / Vol. 73, No. 219Does

  15. NC-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy ChinaofSchaeferApril 1,(EAC)TABLEChallenges are Associated withandGasVirginia

  16. 2012 Wholesale Power and Transmission Rate Adjustment Proceeding

    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(ANL-IN-03-032) -Less isNFebruary 2004August 2011CHPRC ReportKristenWorkshops

  17. Electric Wholesale Market Regimes in the United States: Implications for

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

    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 742Energy Chinaof EnergyImpactOn July 2, 2014 in theGroup ReportLowandDepartment of

  18. Duke-3-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015 Business42.1Energy | DepartmenttheFebruarySunShotSUMMARYis from a BuildingNone

  19. Duke-4-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015 Business42.1Energy | DepartmenttheFebruarySunShotSUMMARYis from a

  20. October 1996 - September 2001 Wholesale Power Rates (rates/previous)

    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 for RenewableSpeeding accessSpeedingOctober 1996 - September 2001 The rates BPA charges

  1. October 2001 - September 2006 Wholesale Power Rates (rates/previous)

    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 for RenewableSpeeding accessSpeedingOctober 1996 - September 2001 The rates BPA charges11

  2. Pump-2 Wholesale Power Rate Schedule | 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 of ContaminationHubs+ ReportEnergyProviding GridCommercialPublications022 *PumpPump-2

  3. 2007 Wholesale Power Rate Case Initial Proposal : 2007 Wholesale Power Rate Schedule and General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

  4. The Impact of Residential Air Conditioner Charging and Sizing on Peak Electrical Demand 

    E-Print Network [OSTI]

    Neal, L.; O'Neal, D. L.

    1992-01-01T23:59:59.000Z

    . Dennis L. O'Neal Department of Mechanical Engineering Texas A & M University College Station, TX Federal and state governments can also impact the choice of central air conditioners/heat pumps through requirements mandated by legislation.... The National Energy Efficient Appliances Act requires an SEER of JO for all split-system central air conditioners or heat pumps manufactured after January 1, 1992, and an SEER of 9.7 for all package systems manufactured after January 1, 1993 [I]. Electric...

  5. The Impact of Residential Air Conditioner Charging and Sizing on Peak Electrical Demand

    E-Print Network [OSTI]

    Neal, L.; O'Neal, D. L.

    rebate and maintenance programs for many years. The purpose of these programs was to improve the efficiency of the stock of air conditioning equipment and provide better demand-side management. This paper examines the effect of refrigerant charging... increases. The cooling load is assumed to be zero at an outdoor temperature of 70 F. This would assume an internal heat gain equal to approximately 8 F if the thermostat setting is at 78 F. The house load is also assumed to be equal to the test unit...

  6. Report on Peak Load Mechanisms A background report prepared by the Nordel Operation

    E-Print Network [OSTI]

    /OPG in the Nordel project Enhancing efficient functioning of the Nordic electricity market 23 February 2005 #12 3.2.4 Evolution of demand response and price sensitive consumption................... 11 3 4.1 EXISTING PRICE SETTING FOR ELSPOT POWER

  7. Impact of Smart Grid Technologies on Peak Load to 2050 | Open Energy

    Open Energy Info (EERE)

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  8. Daily Temperatures - April 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09 10 15

  9. Daily Temperatures - April 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09 10

  10. Daily Temperatures - April 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09 101

  11. Daily Temperatures - April 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09 1013

  12. Daily Temperatures - April 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09 10134

  13. Daily Temperatures - April 2015

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09

  14. Daily Temperatures - August 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological0909 20

  15. Daily Temperatures - August 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological0909

  16. Daily Temperatures - August 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09091 20

  17. Daily Temperatures - August 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological09091

  18. Daily Temperatures - August 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford

  19. Daily Temperatures - December 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -20 -15

  20. Daily Temperatures - December 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -20 -150

  1. Daily Temperatures - December 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -20 -1503

  2. Daily Temperatures - December 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -20

  3. Daily Temperatures - February 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -2009 -25

  4. Daily Temperatures - February 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -2009

  5. Daily Temperatures - February 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -20091

  6. Daily Temperatures - February 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -200914

  7. Daily Temperatures - February 2015

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -2009145

  8. Daily Temperatures - January 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009 -20091450

  9. Daily Temperatures - January 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009

  10. Daily Temperatures - January 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -25 -20

  11. Daily Temperatures - January 2015

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -25

  12. Daily Temperatures - July 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -25

  13. Daily Temperatures - July 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -25

  14. Daily Temperatures - July 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -251 20

  15. Daily Temperatures - July 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -251 203

  16. Daily Temperatures - July 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -251

  17. Daily Temperatures - July 2015

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094 -251July

  18. Daily Temperatures - June 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094

  19. Daily Temperatures - June 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094

  20. Daily Temperatures - June 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 20094

  1. Daily Temperatures - June 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 20 25

  2. Daily Temperatures - June 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 20 254

  3. Daily Temperatures - June 2015

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 20 2545

  4. Daily Temperatures - March 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 20

  5. Daily Temperatures - March 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 2010 0

  6. Daily Temperatures - March 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 2010 01

  7. Daily Temperatures - March 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 2010

  8. Daily Temperatures - March 2015

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 20105 0

  9. Daily Temperatures - May 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 20105

  10. Daily Temperatures - May 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 201050

  11. Daily Temperatures - May 2011

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943 2010501

  12. Daily Temperatures - May 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943

  13. Daily Temperatures - May 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434 10 15

  14. Daily Temperatures - May 2015

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434 10 155

  15. Daily Temperatures - November 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434 10

  16. Daily Temperatures - November 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434 100

  17. Daily Temperatures - November 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434 1003

  18. Daily Temperatures - November 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434 10034

  19. Daily Temperatures - October 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434

  20. Daily Temperatures - October 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943410 0 5

  1. Daily Temperatures - October 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943410 0 53

  2. Daily Temperatures - October 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943410 0

  3. Daily Temperatures - September 2009

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 200943410

  4. Daily Temperatures - September 2010

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434100 10

  5. Daily Temperatures - September 2013

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434100 103

  6. Daily Temperatures - September 2014

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober HanfordDecember 2009434100

  7. NIAMEY DAILY RAINFALL

    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: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate1, Issue 23 NETL NEVIS- 97NEWS RELEASENHCNIAMEY

  8. Developing daily precipitation scenarios for climate change impact studies in the Guadiana and theTejo basins Hydrol. Earth Syst. Sci., 11(1), 11611173, 2007

    E-Print Network [OSTI]

    Boyer, Edmond

    @agr.gc.ca Abstract Hydrological models to evaluate the impacts of climate change in the water resources sector or changed climate. Furthermore, management of the water resources of these trans-boundary international a climate change scenario and, in the case of the Tejo, on municipal water supply for Lisbon. Future daily

  9. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Abstract--The HelioClim-1 database contains daily values of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -meteorology, solar energy, ocean, health, architecture, air quality, GEOSS. I. INTRODUCTION HE surface solar no. IST-1999-12245 (SoDa project). The authors thank the ADEME (French Agency for Energy) (grant no-- The HelioClim-1 database contains daily values of the solar radiation reaching the ground. This GEOSS

  10. Steps for Switching to Digest Version of Daily Campus-wide Emails The "digest" version compiles all individual campus-wide emails sent through the Computing

    E-Print Network [OSTI]

    Selmic, Sandra

    Steps for Switching to Digest Version of Daily Campus-wide Emails The "digest" version compiles all) Under "Set Digest Mode," switch to "On." 8) Click the "Submit My Changes" button You're done! You should 24 hour period. To switch to the digest version for all campus-wide emails sent to students, faculty

  11. Salt plays an important role in our daily lives. True, salt makes our food tastier, but perhaps its most significant role is as an ingredient in

    E-Print Network [OSTI]

    Waliser, Duane E.

    Salt plays an important role in our daily lives. True, salt makes our food tastier, but perhaps its, or the concentration of salt at the ocean's surface, gives scientists vital information on global ocean circulation changes, so does salinity! Ocean salinity is affected by the water cycle. As salt water evaporates

  12. Pain and Return to Daily Activities after Uterine Artery Embolization and Hysterectomy in the Treatment of Symptomatic Uterine Fibroids: Results from the Randomized EMMY Trial

    SciTech Connect (OSTI)

    Hehenkamp, Wouter J.K. [Academic Medical Centre, Department of Gynaecology (Netherlands)], E-mail: w.j.k.hehenkamp@amc.nl; Volkers, Nicole A. [Academic Medical Centre, Department of Radiology (Netherlands); Birnie, Erwin [Academic Medical Centre, Department of Public Health Epidemiology (Netherlands); Reekers, Jim A. [Academic Medical Centre, Department of Radiology (Netherlands); Ankum, Willem M. [Academic Medical Centre, Department of Gynaecology (Netherlands)

    2006-04-15T23:59:59.000Z

    Purpose. To evaluate the safety and efficacy of uterine artery embolization (UAE) and hysterectomy for symptomatic uterine fibroids by means of a randomized controlled trial. The present paper analyses short-term outcomes, i.e., pain and return to daily activities. Methods. Patients were randomized (1:1) to UAE or hysterectomy. Pain was assessed during admission and after discharge, both quantitatively and qualitatively, using a numerical rating scale and questionnaires. Time to return to daily activities was assessed by questionnaire. Results. Seventy-five patients underwent hysterectomy and 81 patients underwent UAE. UAE patients experienced significantly less pain during the first 24 hr after treatment (p = 0.012). Non-white patients had significantly higher pain scores. UAE patients returned significantly sooner to daily activities than hysterectomy patients (for paid work: 28.1 versus 63.4 days; p < 0.001). In conclusion, pain appears to be less after UAE during hospital stay. Return to several daily activities was in favor of UAE in comparison with hysterectomy.

  13. 9/4/12 Tigers change behavior to live near people | TG Daily 1/9www.tgdaily.com/sustainability-features/65902-tigers-change-behavior-to-live-near-people

    E-Print Network [OSTI]

    9/4/12 Tigers change behavior to live near people | TG Daily 1/9www.tgdaily.com/sustainability change behavior to live near people | TG Daily 2/9www.tgdaily.com/sustainability-features/65902-tigers-change-behavior-to-live people tigers Advertisement #12;9/4/12 Tigers change behavior to live near people | TG Daily 3/9www.tgdaily.com/sustainability

  14. Repairs to silence Tower bells | The Daily Texan http://dailytexanonline.com/news/2012/09/27/repairs-to-silence-tower-bells 2 of 4 10/2/2012 8:55 AM

    E-Print Network [OSTI]

    John, Lizy Kurian

    Repairs to silence Tower bells | The Daily Texan http://dailytexanonline.com/news/2012/09/27/repairs-to-silence-tower-bells 2 of 4 10/2/2012 8:55 AM #12;Repairs to silence Tower bells | The Daily Texan http://dailytexanonline.com/news/2012/09/27/repairs-to-silence-tower-bells 3 of 4 10/2/2012 8

  15. The dosimetric impact of daily setup error on target volumes and surrounding normal tissue in the treatment of prostate cancer with intensity-modulated radiation therapy

    SciTech Connect (OSTI)

    Algan, Ozer, E-mail: oalgan@ouhsc.edu [Department of Radiation Oncology, Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK (United States); Jamgade, Ambarish; Ali, Imad; Christie, Alana; Thompson, J. Spencer; Thompson, David; Ahmad, Salahuddin; Herman, Terence [Department of Radiation Oncology, Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK (United States)

    2012-01-01T23:59:59.000Z

    The purpose of this study was to evaluate the impact of daily setup error and interfraction organ motion on the overall dosimetric radiation treatment plans. Twelve patients undergoing definitive intensity-modulated radiation therapy (IMRT) treatments for prostate cancer were evaluated in this institutional review board-approved study. Each patient had fiducial markers placed into the prostate gland before treatment planning computed tomography scan. IMRT plans were generated using the Eclipse treatment planning system. Each patient was treated to a dose of 8100 cGy given in 45 fractions. In this study, we retrospectively created a plan for each treatment day that had a shift available. To calculate the dose, the patient would have received under this plan, we mathematically 'negated' the shift by moving the isocenter in the exact opposite direction of the shift. The individualized daily plans were combined to generate an overall plan sum. The dose distributions from these plans were compared with the treatment plans that were used to treat the patients. Three-hundred ninety daily shifts were negated and their corresponding plans evaluated. The mean isocenter shift based on the location of the fiducial markers was 3.3 {+-} 6.5 mm to the right, 1.6 {+-} 5.1 mm posteriorly, and 1.0 {+-} 5.0 mm along the caudal direction. The mean D95 doses for the prostate gland when setup error was corrected and uncorrected were 8228 and 7844 cGy (p < 0.002), respectively, and for the planning target volume (PTV8100) was 8089 and 7303 cGy (p < 0.001), respectively. The mean V95 values when patient setup was corrected and uncorrected were 99.9% and 87.3%, respectively, for the PTV8100 volume (p < 0.0001). At an individual patient level, the difference in the D95 value for the prostate volume could be >1200 cGy and for the PTV8100 could approach almost 2000 cGy when comparing corrected against uncorrected plans. There was no statistically significant difference in the D35 parameter for the surrounding normal tissue except for the dose received by the penile bulb and the right hip. Our dosimetric evaluation suggests significant underdosing with inaccurate target localization and emphasizes the importance of accurate patient setup and target localization. Further studies are needed to evaluate the impact of intrafraction organ motion, rotation, and deformation on doses delivered to target volumes.

  16. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    IV. v. Retail Marketers . . Wholesale Marketers Explanationof Supportive Data Wholesale and Retail Fuel Oil MarketPRICES II-1 II-3 II-3 Wholesale Prices to Wholesalers and

  17. FEMAXI-V benchmarking study on peak temperature and fission gas release prediction of PWR rod fuel

    SciTech Connect (OSTI)

    Suwardi; Dewayatna, W.; Briyatmoko, B. [Center for Nuclear Fuel Technology - National Nuclear Energy Agency, Puspiptek Tangerang - 15310 (Indonesia)

    2012-06-06T23:59:59.000Z

    The present paper reports a study of FEMAXI-V code and related report on code benchmarking. Capabilities of the FEMAXI-V code to predict the thermal and fission gas release have been tested on MOX fuels in LWRs which has been done in SCK{center_dot}CEN and Belgonucleaire by using PRIMO MOX rod BD8 irradiation experiment after V Sobolev as reported O. J. Ott. Base irradiation in the BR3 reactor, the BD8 rod was transported to CEA-Saclay for irradiation in the OSIRIS reactor (ramp power excursion). The irradiation device used for the PRIMO ramps was the ISABELLE 1 loop, installed on a movable structure of the core periphery. The power variations were obtained by inwards/backwards movements of the loop in the core water. The preconditioning phase for rod BD8 occurred at a peak power level of 189 W/cm with a hold time of 27 hours. The subsequent power excursion rate amounted to 77 W/ (cm.min), reaching a terminal peak power level of 395 W/cm that lasted for 20 hours.

  18. Subscribe to daily environment news

    E-Print Network [OSTI]

    McGraw, Kevin J.

    : Strong Quake Strikes Papua New Guinea, No Damage BELGIUM: Airlines, US Cool to EU Emissions Trading

  19. Daily Normal Precipitation - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRB LiaisonMon JulThu

  20. Yesterday's Daily Summary - Hanford Site

    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 SolStrengtheningWildfires may contributeSecuritysupports neighbors's/UTAnaYe

  1. Yesterday's Daily Summary - Hanford Site

    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'sis Taking Over OurThe Iron SpinPrincetonUsingWhatY-12 recognized forCyclotron Chemistry Dept.Met

  2. 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

  3. 03/01/2006 09:51 AMLoading "People's Daily Online --Chinese experimental thermonuclear reactor on discharge test in July" Page 1 of 1http://english.people.com.cn/200603/01/print20060301_247035.html

    E-Print Network [OSTI]

    experimental thermonuclear reactor on discharge test in July China's new generation experimental Tokamak fusion03/01/2006 09:51 AMLoading "People's Daily Online -- Chinese experimental thermonuclear reactor successful, it would be the world's first experimental nuclear fusion device to come into operation. Li

  4. DailyTech -New Technique Uses Nanoparticles with Honeycomb-like Compartments to Attack Cancer Cells http://www.dailytech.com/article.aspx?newsid=21426[5/2/2011 12:01:56 PM

    E-Print Network [OSTI]

    Brinker, C. Jeffrey

    DailyTech - New Technique Uses Nanoparticles with Honeycomb-like Compartments to Attack Cancer New Technique Uses Nanoparticles with Honeycomb- like Compartments to Attack Cancer Cells Tiffany they are released into the system to attack cancer cells, but end up attacking healthy cells as well since they have

  5. New Link Found Between Obesity and Insulin Resistance ScienceDaily (Aug. 3, 2011) --Obesity is the main culprit in the worldwide avalanche of type 2 diabetes. But how

    E-Print Network [OSTI]

    Wildermuth, Mary C

    New Link Found Between Obesity and Insulin Resistance ScienceDaily (Aug. 3, 2011) -- Obesity Diabetes Center now have uncovered a new way in which obesity wreaks its havoc, by altering the production.D., began by examining the levels of proteins in the livers of obese people, and finding decreases in number

  6. As technology advances, the need for electricity increases, and as a result, more energy is being consumed on a daily basis. Consequently, the strain on energy and economic resources becomes more evident. Currently, the average energy consumer can see his

    E-Print Network [OSTI]

    Liebling, Michael

    , Branton Horsley PowWow Energy Groups Users and companies will be able to create a sense of community amongOverview As technology advances, the need for electricity increases, and as a result, more energy is being consumed on a daily basis. Consequently, the strain on energy and economic resources becomes more

  7. Infrastructure systems, such as buildings, schools, roads, bridges, water lines, sewage systems, communication systems, and power plants, are a fundamental part of daily life. Both rapid and gradual climate changes can affect

    E-Print Network [OSTI]

    and gradual climate changes can affect these systems and have significant impacts on society. Extreme weather infrastructure sector make practical decisions in order to adapt to climate changes and variations systems, communication systems, and power plants, are a fundamental part of daily life. Both rapid

  8. External Beam Accelerated Partial-Breast Irradiation Using 32 Gy in 8 Twice-Daily Fractions: 5-Year Results of a Prospective Study

    SciTech Connect (OSTI)

    Pashtan, Itai M. [Harvard Radiation Oncology Program, Boston, Massachusetts (United States)] [Harvard Radiation Oncology Program, Boston, Massachusetts (United States); Recht, Abram [Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts (United States)] [Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts (United States); Ancukiewicz, Marek [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Brachtel, Elena [Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts (United States); Abi-Raad, Rita F. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); D'Alessandro, Helen A. [Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts (United States); Levy, Antonin; Wo, Jennifer Y. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Hirsch, Ariel E. [Department of Radiation Oncology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts (United States)] [Department of Radiation Oncology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts (United States); Kachnic, Lisa A. [Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts (United States); Goldberg, Saveli [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Specht, Michelle; Gadd, Michelle; Smith, Barbara L. [Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts (United States); Powell, Simon N. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States)] [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Taghian, Alphonse G., E-mail: ataghian@partners.org [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States)

    2012-11-01T23:59:59.000Z

    Purpose: External beam accelerated partial breast irradiation (APBI) is an increasingly popular technique for treatment of patients with early stage breast cancer following breast-conserving surgery. Here we present 5-year results of a prospective trial. Methods and Materials: From October 2003 through November 2005, 98 evaluable patients with stage I breast cancer were enrolled in the first dose step (32 Gy delivered in 8 twice-daily fractions) of a prospective, multi-institutional, dose escalation clinical trial of 3-dimensional conformal external beam APBI (3D-APBI). Median age was 61 years; median tumor size was 0.8 cm; 89% of tumors were estrogen receptor positive; 10% had a triple-negative phenotype; and 1% had a HER-2-positive subtype. Median follow-up was 71 months (range, 2-88 months; interquartile range, 64-75 months). Results: Five patients developed ipsilateral breast tumor recurrence (IBTR), for a 5-year actuarial IBTR rate of 5% (95% confidence interval [CI], 1%-10%). Three of these cases occurred in patients with triple-negative disease and 2 in non-triple-negative patients, for 5-year actuarial IBTR rates of 33% (95% CI, 0%-57%) and 2% (95% CI, 0%-6%; P<.0001), respectively. On multivariable analysis, triple-negative phenotype was the only predictor of IBTR, with borderline statistical significance after adjusting for tumor grade (P=.0537). Conclusions: Overall outcomes were excellent, particularly for patients with estrogen receptor-positive disease. Patients in this study with triple-negative breast cancer had a significantly higher IBTR rate than patients with other receptor phenotypes when treated with 3D-APBI. Larger, prospective 3D-APBI clinical trials should continue to evaluate the effect of hormone receptor phenotype on IBTR rates.

  9. DEPARTMENT OF COMMERCE BUREAU OF FISHERIES

    E-Print Network [OSTI]

    . . . .. ....... . .... . ........... . . . .. . ........ .. .... . .. . . Wholesale fresh-fish trade .... . . . .... .. .......... ..... .. . ..... . .. . . . .. . Fishery products... . ... ... . . ............... . . . . ................. . Products by apparatus .............. . ... ...... ... .......... . ......... . Wholesale fresh-fish trade

  10. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    and Demand Response in Electricity Markets." University ofRates and Tariffs /Schedule for Electricity Service, P.S.C.no. 10- Electricity/Rules 24 (Riders)/Leaf No. 177-327."

  11. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    emissions rates from California power plants is illustratedsources (i.e. power plants) within California would besources (i.e. power plants) within California would be

  12. Perturbation Analysis of the Wholesale Energy Market Equilibrium in the Presence of Renewables

    E-Print Network [OSTI]

    Kiani, Arman

    2012-01-01T23:59:59.000Z

    One of the main challenges in the emerging smart grid is the integration of renewable energy resources (RER). The latter introduces both intermittency and uncertainty into the grid, both of which can affect the underlying energy market. An interesting concept that is being explored for mitigating the integration cost of RERs is Demand Response. Implemented as a time-varying electricity price in real-time, Demand Response has a direct impact on the underlying energy market as well. Beginning with an overall model of the major market participants together with the constraints of transmission and generation, we analyze the energy market in this paper and derive conditions for global maximum using standard KKT criteria. The effect of uncertainties in the RER on the market equilibrium is then quantified, with and without real-time pricing. Perturbation analysis methods are used to compare the equilibria in the nominal and perturbed markets. These markets are also analyzed using a game-theoretic point of view. Suff...

  13. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

  14. Wholesale Late Merger: Beyond the A/A[over-bar] Distinction

    E-Print Network [OSTI]

    Takahashi, Shoichi

    In this article, we develop a substantially expanded theory of late merger. Adopting related insights by Fox (2002), we argue that late merger is permitted whenever an output representation can be interpreted in the semantic ...

  15. 2007 Wholesale Power Rate Case Initial Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    This chapter presents BPA's market price forecasts, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's rates. AURORA is used as the primary tool for (a) calculation of the demand rate, (b) shaping the PF rate, (c) estimating the forward price for the IOU REP settlement benefits calculation for fiscal years 2008 and 2009, (d) estimating the uncertainty surrounding DSI payments, (e) informing the secondary revenue forecast and (f) providing a price input used for the risk analysis.

  16. 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 ...

  17. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    SciTech Connect (OSTI)

    Kiliccote, Sila; Piette, Mary Ann; Ghatikar, Girish; Koch, Ed; Hennage, Dan; Hernandez, John; Chiu, Albert; Sezgen, Osman; Goodin, John

    2009-11-06T23:59:59.000Z

    The Pacific Gas and Electric Company (PG&E) is conducting a pilot program to investigate the technical feasibility of bidding certain demand response (DR) resources into the California Independent System Operator's (CAISO) day-ahead market for ancillary services nonspinning reserve. Three facilities, a retail store, a local government office building, and a bakery, are recruited into the pilot program. For each facility, hourly demand, and load curtailment potential are forecasted two days ahead and submitted to the CAISO the day before the operation as an available resource. These DR resources are optimized against all other generation resources in the CAISO ancillary service. Each facility is equipped with four-second real time telemetry equipment to ensure resource accountability and visibility to CAISO operators. When CAISO requests DR resources, PG&E's OpenADR (Open Automated DR) communications infrastructure is utilized to deliver DR signals to the facilities energy management and control systems (EMCS). The pre-programmed DR strategies are triggered without a human in the loop. This paper describes the automated system architecture and the flow of information to trigger and monitor the performance of the DR events. We outline the DR strategies at each of the participating facilities. At one site a real time electric measurement feedback loop is implemented to assure the delivery of CAISO dispatched demand reductions. Finally, we present results from each of the facilities and discuss findings.

  18. A new wholesale bidding mechanism for enhanced demand response in smart grids

    E-Print Network [OSTI]

    Wang, Jiankang

    Calls to improve customer participation as a key element of smart grids have reinvigorated interest in demand-side features such as distributed generation, on-site storage and demand response. In the context of deregulated ...

  19. A demand responsive bidding mechanism with price elasticity matrix in wholesale electricity pools

    E-Print Network [OSTI]

    Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

    2009-01-01T23:59:59.000Z

    In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage and demand response, add uncertainties ...

  20. Economic aspects of the organization and operation of independent wholesale meat packing plants in Texas

    E-Print Network [OSTI]

    Graves, James Wilton

    1958-01-01T23:59:59.000Z

    ;, ?" 'h;i;~ y ~", '. --?- JLZI44IJJQ'4411'I ~ ~ 114111*41 ~ 4 9 'at, 1~a';r40; J. kin. . ?. cay Isis. ; ax? G3. 'al4. 'bt4V-'2 JL'. X" i JQ'. EX li. f TCr'L. . . * GL IiiI'l~~ P '. 3J"', ; '=, t j ' I ''CL CrL G4"'YP 1'~ Il ' ~, ~ ~ 1, 1 AV'~0~8 11VQ..., . . Qo a'iIS~L'S flBS '~. t S. XI51~ XKSGQ"SQ l SZC SvIQS 1 ' C . B SX'O'Ckl Lla Ca ~'-&SS ~ A~S ~&? = "&S. '-'S '- v. ~t. , :a"X'a&~~ Cl JSXQQC ss ":~ss". ' G. . ale -:-Ls sisv. , -. tlLex S. JL. -Q. . :. - ~. s . :". v, . J?I CLsLss, " vcxsl C?' f...

  1. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    trade for California’s electricity sector. The paper surveyson two key sectors, the electricity sector and automotivefrom elsewhere. In the electricity sector, this is a net

  2. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    a Energy Service Company (ESCO) through retail access. Sincea Energy Service Company (ESCO) through retail access. Since

  3. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    A. Barat, D. Watson. 2006 Demand Response Spinning ReserveKueck, and B. Kirby 2008. Demand Response Spinning ReserveReport 2009. Open Automated Demand Response Communications

  4. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    zonal day-ahead locational based marginal pricing (DA LBMP),provides zonal Locational Based Marginal Pricing (LBMP) inzonal day-ahead locational based marginal pricing (DA LBMP),

  5. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    the dirtiest plants in the WECC fall into two categories,Capacity factors of non-Cal WECC plants (> 75 MW) with CO2consumed elsewhere in the WECC. If those regions are not

  6. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    The problem is that many power purchase arrangements can befrom which they “purchase” power. This kind of tracking “their rights to purchase power from “dirtier” import sources

  7. Sixth Northwest Conservation & Electric Power Plan Draft Wholesale Power Price Forecasts

    E-Print Network [OSTI]

    Higher Coal Prices Medium Long-term Trend Forecasts for PNW Zones 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 Mexico Arizona Utah Nevada North Alberta Baja California North Nevada South PNW Westside 10 Northwest

  8. Contrasts in restructuring wholesale electric markets: England/Wales, California, and the PJM

    SciTech Connect (OSTI)

    Henney, A.

    1998-08-01T23:59:59.000Z

    The ways in which the British, the Californians, and the members of the Pennsylvania-Jersey-Maryland Pool (PJM) are restructuring their electric industries and designing markets provide fascinating political and technical contrasts with each other, particularly insofar as all three markets are roughly the same size, with energy sales of about 250--300 terawatt hours (TWh) annually. There have been significant differences in the drivers of change, objectives, and leadership, the legacies of the past, and the process of design, which are discussed in the first three sections. The fourth section describes the market designs in England and Wales, California, and the PJM, while the concluding section draws out the lessons of experience. While these lessons include specific principles regarding the objectives and structure of power exchanges, the maintenance of system stability and power transport, and the achieving of generation reliability, they also include several overarching conclusions. Perhaps chief among them, as will be clear from the discussion of the restructuring experience on both sides of the Atlantic, is that major restructurings can only be led by a public authority and will be successful in implementation only if that authority has a clear and realistic vision of where it wants to go.

  9. Price discovery in the wholesale markets for maize and beans in Uganda 

    E-Print Network [OSTI]

    Kuteesa, Annette

    2006-08-16T23:59:59.000Z

    , as a result of competition between markets, is not known and questions of market effectiveness still stand. This study examines market efficiency based upon response to price signals across Ugandan markets. We focus on information exchange for maize...

  10. Table 1.F Estimated costs per acre Bell pepper, fresh market (wholesale), irrigated

    E-Print Network [OSTI]

    Grissino-Mayer, Henri D.

    2.00 33.0000 66.00 _________ OTHER Plastic Mulch 5ft 4000ft 120.00 3.0000 360.00 _________ Mythl.00 _________ Wood Stakes 100 15.00 36.0000 540.00 _________ Plastic string 6000ft 8.00 12.0000 96

  11. Price discovery in the wholesale markets for maize and beans in Uganda

    E-Print Network [OSTI]

    Kuteesa, Annette

    2006-08-16T23:59:59.000Z

    and beans among 16 key markets. We study weekly price data from the first week of 2000 to the last week of 2003 from each of the sixteen markets. Each commodity is studied separately using Vector Autoregessions (VARs) and Directed Acyclic Graphs (DAGs...

  12. CP&L-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECOR

  13. CP&L-2-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECORpursuant

  14. CP&L-3-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECORpursuantto

  15. CP&L-4-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM

  16. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    and provide demand response (DR) through building controland provide demand response (DR) through building controlDemand Response Automation Server (DRAS) in a 15-minute interval. This allows the continuous monitoring of the building's

  17. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    accurate accounting of CO2 emissions, at least from in-plants (> 75 MW) with CO2 emissions > 1500 lbs/MWh Load-with extremely low CO2 emissions. Over the entire western

  18. File:07FDDExemptWholesaleGeneratorStatusProcess.pdf | 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 beingZealandORCEncroachment.pdf JumpUTATransportation.pdf Jump to:InformationFDBPlantCommissioning.pdf

  19. REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR

    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 - TProcuring SolarNo. 195Department ofELECTRIC ENERGY |

  20. SCE&G-1-E Wholesale Power Rate Schedule | 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 -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E

  1. SCE&G-2-E Wholesale Power Rate Schedule | 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 -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E2-E

  2. SCE&G-3-E Wholesale Power Rate Schedule | 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 -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E2-E3-E

  3. SCE&G-4-E Wholesale Power Rate Schedule | 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 -DepartmentRetailEnergy

  4. Property:EIA/861/ActivityWholesaleMarketing | 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 beingZealand Jump to: navigation,PillarPublicationType JumpDOEInvolve Jumpallowed

  5. Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation

    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. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-l 1, 13Evacuation248 EvaluationMAYEvidence

  6. REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR

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

    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 742EnergyOn April 23, 2014, an OHASeptember 2010In addition to 1 |D I S P U REPORT of theELECTRIC

  7. SCE&G-3-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, anEnergyDepartment ofNone System: Georgia-Alabama-South Carolina

  8. The Value of Distributed Generation and CHP Resources in Wholesale Power

    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'tOriginEducationVideoStrategic|Industrial Sector, JanuarySunShotDepartment ofofEmissionsMarkets,

  9. BOAT BUILDING ACC./SUPPLIES MFGR. MOTOR/ENG. MFGR. DLRS/WHOLESALERS

    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't Your Destiny: The FutureComments fromof EnergyBILIWG: Consistentof Energy

  10. Market Evolution: Wholesale Electricity Market Design for 21st Century Power Systems

    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. DOEThe Bonneville PowerCherries 82981-1cnHighand Retrievals from a New 183-GHz WaterMark B.1stCenturyPower.org

  11. adapted swimming pool reactor austria: Topics by E-print Network

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

    Summary: participation in wholesale energy markets; and sponsored abe indexed to wholesale energy market prices (i.e. eitherWholesale Markets in the Southwest Power Pool SPP...

  12. The Speed of Gasoline Price Response in Markets With and Without Edgeworth Cycles

    E-Print Network [OSTI]

    Lewis, Matt; Noel, Michael

    2009-01-01T23:59:59.000Z

    Columbus, OH. , “Temporary Wholesale Gasoline Price Spikesrespond fairly slowly to wholesale price changes. This doesand asymmetrically to wholesale costs, with cost increases

  13. Demand Response in U.S. Electricity Markets: Empirical Evidence

    E-Print Network [OSTI]

    Cappers, Peter

    2009-01-01T23:59:59.000Z

    the second half of the wholesale electric market equation.response with Midwest ISO wholesale markets, report no.DR Programs in Wholesale Markets 18

  14. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    power system’s load and wholesale market prices (Burton etgeographical area on wholesale market value or capacityMontana and Wyoming) with wholesale power prices and loads

  15. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01T23:59:59.000Z

    37 3.8.1. Impacts of DR programs on Wholesale MarketPrice Response on Wholesale Markets.in Organized Wholesale Markets .19

  16. DEPARTMENT OF COMMERCE BUREAU OF FISHERIES

    E-Print Network [OSTI]

    . .. ...... . . . . . . . . . . .......... . Fisheries, by apparatus ............. .. . ................... . ... ... . Wholesale fishery trade.............. . ... . ...... .. ........ . ...... . Wholesale fishery trade... . .. . .. ........................... . ...... . Fishf'ries of Lake ilmon .. ............ .. . .... . .................... . Wholesale fishery trade ... .. .... ... ....... ...... . ..... .. ... ..... . Fisheries of Lake t. ('lair

  17. The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems

    E-Print Network [OSTI]

    Barbose, Galen

    2013-01-01T23:59:59.000Z

    model to project hourly wholesale electricity market pricesSecond, based on the wholesale electricity market pricesthe temporal trends in wholesale market electricity prices.

  18. A Regional Approach to Market Monitoring in the West

    E-Print Network [OSTI]

    Barmack, Matthew; Kahn, Edward; Tierney, Susan; Goldman, Charles

    2006-01-01T23:59:59.000Z

    in California's Wholesale Electricity Industry,” AmericanCommission (CPUC) 2002. Wholesale Generator InvestigationBehavior in California’s Wholesale Electricity Market during

  19. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    DEMAND RESPONSE .7 Wholesale Marketuse at times of high wholesale market prices or when systemenergy expenditure. In wholesale markets, spot energy prices

  20. A Larger Slice or a Larger Pie? An Empirical Investigation of Bargaining Power in the Distribution Channel

    E-Print Network [OSTI]

    Draganska, Michaela; Klapper, Daniel; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    and allow the wholesale prices to be determined inNash game, retail and wholesale prices are determined at thesolution to determine wholesale prices and thus how margins

  1. 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

  2. The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios

    E-Print Network [OSTI]

    Nicolosi, Marco

    2011-01-01T23:59:59.000Z

    Because of these dynamics, wholesale power prices tend to bedispatch patterns and wholesale power prices, however, alsoTab 2). Because it impacts wholesale power prices and wind

  3. 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

    s PV generation in hour h, ? is wholesale price in hourload purchased in the wholesale market in hour h,economic value in wholesale energy markets. Progress in

  4. Weighing the Costs and Benefits of Renewables Portfolio Standards: A Comparative Analysis of State-Level Policy Impact Projections

    E-Print Network [OSTI]

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2007-01-01T23:59:59.000Z

    24 Wholesale Energy and Capacity Price Changes Projected byImpacts to Alternative Wholesale Electric Price Scenarios..24 Effect of Wholesale Market Price Reductions on RPS Rate

  5. Bill Bradbury Jennifer Anders

    E-Print Network [OSTI]

    /Exports Wholesale Electricity Market Prices These These inputsinputs Wholesale Electricity Market Prices Including Market Price Caps on Wholesale Electricity Market Prices Annual Limits on Retrofit Conservation

  6. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    in Demand Response for Wholesale Ancillary Services. ” Incan be used to link wholesale and retail real-time prices.11 Wholesale Electricity Market Information

  7. Toward a Theory of Coordinating: Creating Coordinating Mechanisms in Practice

    E-Print Network [OSTI]

    Jarzabkowski, Paula A; Lê, Jane K; Feldman, Martha S

    2012-01-01T23:59:59.000Z

    restructuring the core wholesale product, Connectif. We thenDistribution Servico wholesale Servico retail Industrythe Distribution and Wholesale divi- sions in order to

  8. Minimizing the threat of pandemic emergence from avian influenza in poultry systems

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    distribution chain such as wholesale markets. This couldsurveillance data from both wholesale live-bird markets (Environmental transmission, Wholesale markets Background and

  9. Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

    to re?ect changing wholesale prices — removes existingdisproportionately more when wholesale prices are highest.hour-to-hour, re?ecting wholesale price variation. Among

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

    E-Print Network [OSTI]

    Villas-Boas, Sofia B.

    2006-01-01T23:59:59.000Z

    erent supply models when wholesale prices are not observed.States the results imply that wholesale prices are close tofor a particular market. Wholesale price data are typically

  11. When it comes to Demand Response, is FERC its Own Worst Enemy?

    E-Print Network [OSTI]

    Bushnell, James; Hobbs, Benjamin; Wolak, Frank A.

    2009-01-01T23:59:59.000Z

    Final Rule, Order 719, Wholesale Competition in Regions withfinal consumers in formal wholesale markets. Although theseconsumers realize from formal wholesale electricity markets,

  12. Clearing the Air? The Effects of Gasoline Content Regulation on Air Quality

    E-Print Network [OSTI]

    Auffhammer, Maximilian; Kellogg, Ryan

    2009-01-01T23:59:59.000Z

    gasoline distribution stations. Refiners and wholesale terminalsgasoline distribution stations. Refiners and wholesale terminalsgasoline stations and May 1 – September 15 for refiners and wholesale distribution terminals.

  13. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    flow directly from the refinery to wholesaler, to retailer,of No. 2 heating oil for the refinery, wholesale and retailfirst system monitored refinery, wholesale and retail price

  14. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    criteria, and representative cities for the 17 climates –non-refrigerated) Representative city Miami, USA Riyadh,

  15. Effects of Fusion Zone Size and Failure Mode on Peak Load and Energy Absorption of Advanced High Strength Steel Spot Welds

    SciTech Connect (OSTI)

    Sun, Xin; Stephens, Elizabeth V.; Khaleel, Mohammad A.

    2007-01-01T23:59:59.000Z

    This paper examines the effects of fusion zone size on failure modes, static strength and energy absorption of resistance spot welds (RSW) of advanced high strength steels (AHSS). DP800 and TRIP800 spot welds are considered. The main failure modes for spot welds are nugget pullout and interfacial fracture. Partial interfacial fracture is also observed. The critical fusion zone sizes to ensure nugget pull-out failure mode are developed for both DP800 and TRIP800 using limit load based analytical model and micro-hardness measurements of the weld cross sections. Static weld strength tests using cross tension samples were performed on the joint populations with controlled fusion zone sizes. The resulted peak load and energy absorption levels associated with each failure mode were studied for all the weld populations using statistical data analysis tools. The results in this study show that AHSS spot welds with fusion zone size of can not produce nugget pullout mode for both the DP800 and TRIP800 materials examined. The critical fusion zone size for nugget pullout shall be derived for individual materials based on different base metal properties as well as different heat affected zone (HAZ) and weld properties resulted from different welding parameters.

  16. Phase-Change Frame Walls (PCFWs) for On-Peak Demand Reduction and Energy Conservation in Residential Buildings: Development, Construction and Evaluation

    E-Print Network [OSTI]

    Zhang, M.; Medina, M. A.; King, J. B.

    2004-01-01T23:59:59.000Z

    The main purpose of this work was to develop a thermally enhanced frame wall that would reduce peak load air conditioning demand, shift a portion of the thermal load, and conserve energy in residential buildings. A frame wall containing...

  17. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    more than 40% of end-use energy demand. It is important toin terms of building energy supply and demand. Additionally,to evaluate energy performance and demand response. Accurate

  18. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    space temperature, occupant thermal comfort, cooling and heating loads, HVAC equipment sizes, energy consumption, utility cost, air emissions, water usage, renewable

  19. Daily Scheduling of Nurses in Operating Suites

    E-Print Network [OSTI]

    2011-10-07T23:59:59.000Z

    (2008) proposed a stochastic model ...... operating suites, each spanning either 8 or 10 regular hours plus overtime and lunch. ... above the 700 minimum. Moreover ..... Empirically, this was seen to reduce the size of the branch-and-

  20. 2, 11471183, 2005 A daily salt balance

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , The University of Western Australia, 35 Stirling Highway, Crawley, W.A. 6009, Australia 3 Centre for Water Research, The University of Western Australia 35 Stirling Highway, Crawley, W.A. 6009, Australia 4 and Lemon experimental catchments in south west of Western Australia. The simulated and observed stream

  1. Sandia National Laboratories: ScienceDaily

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

    Capabilities Solar power and other sources of renewable energy can help combat global warming but they have a draw-back: they don't produce energy as predictably as generating...

  2. Daily Reporting Rainfall Station DIAMANTINA & GEORGINA

    E-Print Network [OSTI]

    Greenslade, Diana

    Constantine Lands End Stn Viola Canobie Wondoola Cowan Downs Esmeralda Trepell AP AWS Flinders R Toorak Etta

  3. ARRA521 Recovery Act - Project Daily Report

    Energy Savers [EERE]

    Site Spend Plan Obligated to Contracts Payments to Date Unpaid Balance Argonne National Laboratory 79,000,000 79,000,000 79,000,000 0 Brookhaven National Laboratory 70,810,000...

  4. Energy Assurance Daily | Department of Energy

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

    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 33Frequently20,000 Russian NuclearandJunetrackEllen O'Kane Tauscher -The OCHO providesThisEnergy

  5. Shanghai Daily wangyong@shanghaidaily.com

    E-Print Network [OSTI]

    city has yet met all of the challenges of 21st cen- tury -- low-carbon energy, public health, effective waste management, and resilience to global climate change. Shanghai will need to think and to plan, public transport (buses, metro, light-rail), and reduces the reliance on automobiles within the city

  6. Daily Normal Precipitation April - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRB LiaisonMon

  7. Daily Normal Precipitation August - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRB LiaisonMonAugust

  8. Daily Normal Precipitation December - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRB

  9. Daily Normal Precipitation February - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRBFebruary Hanford

  10. Daily Normal Precipitation January - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRBFebruary

  11. Daily Normal Precipitation July - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRBFebruaryJuly Hanford

  12. Daily Normal Precipitation June - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRBFebruaryJuly

  13. Daily Normal Precipitation March - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRBFebruaryJulyMarch

  14. Daily Normal Precipitation May - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHaleREPORTDRBFebruaryJulyMarchMay

  15. Daily Normal Precipitation November - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice

  16. Daily Normal Precipitation October - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological Station

  17. Daily Normal Precipitation September - Hanford Site

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctober Hanford Meteorological

  18. BPA Daily Notice (pbl/products)

    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 DocumentationProductsAlternativeOperationalAugustDecade Later: Are WeOverview:RBelow is2 1

  19. Daily Occurrence Reports | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you0and Transparency,8-9612-985-2007Supplemental Environmental67Idaho. SDaily

  20. Daily Flight Planning and Operations Schedule

    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. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216