Sample records for variable peak pricing

  1. AUTOMATED CRITICAL PEAK PRICING FIELD TESTS

    E-Print Network [OSTI]

    ) for development of the DR Automation Server System This project could not have been completed without extensive: Greg Watson and Mark Lott · C&C Building Automation: Mark Johnson and John Fiegel · Chabot Space AUTOMATED CRITICAL PEAK PRICING FIELD TESTS: 2006 PROGRAM DESCRIPTION AND RESULTS

  2. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01T23:59:59.000Z

    L.R. Modeling alternative residential peak-load electricitydemand response to residential critical peak pricing (CPP)analysis of California residential customer response to

  3. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01T23:59:59.000Z

    to time-of-day electricity pricing: first empirical results.S. The trouble with electricity markets: understandingresidential peak-load electricity rate structures. Journal

  4. Representing Energy Price Variability in Long-and Medium-term Hydropower Optimization

    E-Print Network [OSTI]

    Pasternack, Gregory B.

    1 Representing Energy Price Variability in Long- and Medium- term Hydropower Optimization Marcelo A Resources Planning and Management, 2012, in press ABSTRACT Representing peak and off-peak energy prices and examines the reliability of an existing approximate method to incorporate hourly energy price information

  5. Automated Critical Peak Pricing Field Tests: Program Descriptionand Results

    SciTech Connect (OSTI)

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-04-06T23:59:59.000Z

    California utilities have been exploring the use of critical peak prices (CPP) to help reduce needle peaks in customer end-use loads. CPP is a form of price-responsive demand response (DR). Recent experience has shown that customers have limited knowledge of how to operate their facilities in order to reduce their electricity costs under CPP (Quantum 2004). While the lack of knowledge about how to develop and implement DR control strategies is a barrier to participation in DR programs like CPP, another barrier is the lack of automation of DR systems. During 2003 and 2004, the PIER Demand Response Research Center (DRRC) conducted a series of tests of fully automated electric demand response (Auto-DR) at 18 facilities. Overall, the average of the site-specific average coincident demand reductions was 8% from a variety of building types and facilities. Many electricity customers have suggested that automation will help them institutionalize their electric demand savings and improve their overall response and DR repeatability. This report focuses on and discusses the specific results of the Automated Critical Peak Pricing (Auto-CPP, a specific type of Auto-DR) tests that took place during 2005, which build on the automated demand response (Auto-DR) research conducted through PIER and the DRRC in 2003 and 2004. The long-term goal of this project is to understand the technical opportunities of automating demand response and to remove technical and market impediments to large-scale implementation of automated demand response (Auto-DR) in buildings and industry. A second goal of this research is to understand and identify best practices for DR strategies and opportunities. The specific objectives of the Automated Critical Peak Pricing test were as follows: (1) Demonstrate how an automated notification system for critical peak pricing can be used in large commercial facilities for demand response (DR). (2) Evaluate effectiveness of such a system. (3) Determine how customers will respond to this form of automation for CPP. (4) Evaluate what type of DR shifting and shedding strategies can be automated. (5) Explore how automation of control strategies can increase participation rates and DR saving levels with CPP. (6) Identify optimal demand response control strategies. (7) Determine occupant and tenant response.

  6. Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff

    E-Print Network [OSTI]

    Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

    2005-01-01T23:59:59.000Z

    Critical Peak Pricing Tariff Karen Herter ab* , Patrickunder critical peak pricing tariffs tested in the 2003-2004The 15-month experimental tariff gave customers a discounted

  7. Some Simple Analytics of Peak-Load Pricing

    E-Print Network [OSTI]

    Bergstrom, Ted; Mackie-Mason, Jeffrey K.

    1991-01-01T23:59:59.000Z

    the introduction o f time-of-use pricing, the questions weResponse in Time- of-Use Electricity Pricing Experiments."time of use are homothetic and identical, moving from uniform pricing

  8. Some Simple Analytics of Peak-Load Pricing

    E-Print Network [OSTI]

    Bergstrom, Ted; MacKie-Mason, Jeffrey

    1991-01-01T23:59:59.000Z

    the introduction of time-of-use pricing, the questions weResponse in Time- of-Use Electricity Pricing Experiments."time of use are homothetic and identical, moving from uniform pricing

  9. Cartel Pricing Dynamics with Cost Variability and Endogenous Buyer Detection

    E-Print Network [OSTI]

    Niebur, Ernst

    Cartel Pricing Dynamics with Cost Variability and Endogenous Buyer Detection Joseph E. Harrington to cost shocks. During the stationary phase, price responds to cost but is much less sensitive than under of cost shocks. It is also shown that the cartel price path may overshoot its long-run level so that price

  10. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    due dates · Location of event points ­ At demand points ­ At some energy pricing/availability levels periods with same energy pricing/power level · Only valid for single stage plants November 11, 2009 EnergyOptimal Scheduling under Variable Electricity Pricing and Availability Pedro M. Castro Iiro

  11. Participation through Automation: Fully Automated Critical PeakPricing in Commercial Buildings

    SciTech Connect (OSTI)

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Kiliccote,Sila; Linkugel, Eric

    2006-06-20T23:59:59.000Z

    California electric utilities have been exploring the use of dynamic critical peak prices (CPP) and other demand response programs to help reduce peaks in customer electric loads. CPP is a tariff design to promote demand response. Levels of automation in DR can be defined as follows: Manual Demand Response involves a potentially labor-intensive approach such as manually turning off or changing comfort set points at each equipment switch or controller. Semi-Automated Demand Response involves a pre-programmed demand response strategy initiated by a person via centralized control system. Fully Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. The receipt of the external signal initiates pre-programmed demand response strategies. They refer to this as Auto-DR. This paper describes the development, testing, and results from automated CPP (Auto-CPP) as part of a utility project in California. The paper presents the project description and test methodology. This is followed by a discussion of Auto-DR strategies used in the field test buildings. They present a sample Auto-CPP load shape case study, and a selection of the Auto-CPP response data from September 29, 2005. If all twelve sites reached their maximum saving simultaneously, a total of approximately 2 MW of DR is available from these twelve sites that represent about two million ft{sup 2}. The average DR was about half that value, at about 1 MW. These savings translate to about 0.5 to 1.0 W/ft{sup 2} of demand reduction. They are continuing field demonstrations and economic evaluations to pursue increasing penetrations of automated DR that has demonstrated ability to provide a valuable DR resource for California.

  12. Buying in a volatile market: variable or fixed price? Professor of Purchasing Management

    E-Print Network [OSTI]

    Vellekoop, Michel

    , in markets like money, stock or oil markets; sometimes they are rather lengthy, in markets like the steelBuying in a volatile market: variable or fixed price? Jan Telgen Professor of Purchasing Management Many commodities are bought in a volatile market, where the purchasing price changes constantly

  13. Interrelationships among alternative export variables and their impacts on corn prices

    E-Print Network [OSTI]

    Clarke, Somkid Tammakrut

    1987-01-01T23:59:59.000Z

    export variable. Corn export sales data (collected by USDA since 1973) provide an additional source of information on export movements, thus offering an alternative export demand indicator. Data on commercial stocks at terminals and port elevators...). The primary objective of this study was to assess the impacts of these alternative export variables (sales, stocks, and shipments) on corn prices, and to investigate the dynamic interrelationships among these variables. The observations were carried out...

  14. Examining Uncertainty in Demand Response Baseline Models and Variability in Automated Response to Dynamic Pricing

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

    2011-08-15T23:59:59.000Z

    Controlling electric loads to deliver power system services presents a number of interesting challenges. For example, changes in electricity consumption of Commercial and Industrial (C&I) facilities are usually estimated using counterfactual baseline models, and model uncertainty makes it difficult to precisely quantify control responsiveness. Moreover, C&I facilities exhibit variability in their response. This paper seeks to understand baseline model error and demand-side variability in responses to open-loop control signals (i.e. dynamic prices). Using a regression-based baseline model, we define several Demand Response (DR) parameters, which characterize changes in electricity use on DR days, and then present a method for computing the error associated with DR parameter estimates. In addition to analyzing the magnitude of DR parameter error, we develop a metric to determine how much observed DR parameter variability is attributable to real event-to-event variability versus simply baseline model error. Using data from 38 C&I facilities that participated in an automated DR program in California, we find that DR parameter errors are large. For most facilities, observed DR parameter variability is likely explained by baseline model error, not real DR parameter variability; however, a number of facilities exhibit real DR parameter variability. In some cases, the aggregate population of C&I facilities exhibits real DR parameter variability, resulting in implications for the system operator with respect to both resource planning and system stability.

  15. Variability in Automated Responses of Commercial Buildings and Industrial Facilities to Dynamic Electricity Prices

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

    2011-08-16T23:59:59.000Z

    Changes in the electricity consumption of commercial buildings and industrial facilities (C&I facilities) during Demand Response (DR) events are usually estimated using counterfactual baseline models. Model error makes it difficult to precisely quantify these changes in consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. This paper seeks to understand baseline model error and DR variability in C&I facilities facing dynamic electricity prices. Using a regression-based baseline model, we present a method to compute the error associated with estimates of several DR parameters. We also develop a metric to determine how much observed DR variability results from baseline model error rather than real variability in response. We analyze 38 C&I facilities participating in an automated DR program and find that DR parameter errors are large. Though some facilities exhibit real DR variability, most observed variability results from baseline model error. Therefore, facilities with variable DR parameters may actually respond consistently from event to event. Consequently, in DR programs in which repeatability is valued, individual buildings may be performing better than previously thought. In some cases, however, aggregations of C&I facilities exhibit real DR variability, which could create challenges for power system operation.

  16. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crudein predicting quarterly real oil price change. variable real

  17. Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of

    E-Print Network [OSTI]

    Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of electricity changes over time depending because a schedule without considering variable energy charges might significantly increase

  18. Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market: An African Perspective

    E-Print Network [OSTI]

    ­ unbridled population growth, oil price fluctuations, importation policies, water availability and political prices indicating the importance of investment in irrigation to increase the food yield and thus, address problems in Africa, however, it is recommended to increase government investment on local agriculture

  19. Essays on Automotive Lending, Gasoline Prices, & Automotive Demand

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01T23:59:59.000Z

    National average retail gasoline prices peaked at over $so that average retail gasoline prices can be employed. Myrapid run-up in retail gasoline prices in recent history.

  20. Economic Impacts of Changes in United States Rice Price Variability on Market Efficiency, Marketing Margin and Producer Viability.

    E-Print Network [OSTI]

    Grant, W.R.; Richardson, J.W.; Brorsen, B.W.; Rister, M.E

    1984-01-01T23:59:59.000Z

    Limitations and Conclusions . .................... 12 Appendix ..................................... 14 References ................................... 16 Acknowledgments . ............................ . 16 SUMMARY This study investigates the impacts.... It investigates the short-run interactions among rice prices by analyzing dynamic adjustments in the markets under two policy situations-in 1960-71 for high price sup ports, and 1974-81 for low price supports. The margin between farm and mill prices...

  1. Economic Impacts of Changes in United States Rice Price Variability on Market Efficiency, Marketing Margin and Producer Viability. 

    E-Print Network [OSTI]

    Grant, W.R.; Richardson, J.W.; Brorsen, B.W.; Rister, M.E

    1984-01-01T23:59:59.000Z

    ------.---------------- - , ,,,, --,,,,,-- -,/""----- ... ... .,,;" 2.5-~~---.---r--.---~--.--.--~---r--.---~--~~--~ 55 57 59 61 63 65 67 69 71 73 75 77 79 81 83 YEAR Figure 7. Season average rice prices, 7955-82. Data Source: USDA- fRS, Rice Outlook and Situation 3 MARKET EFFICIENCY METHODS Sporleder...% level. Annual Texas mill prices (adjusted to a rough rice equivalence by a factor of 0.71) (USDA, Rice Situation and Outlook) and annual Texas farm prices were used to calculate the margins. The supply of marketing services was estimated...

  2. Abstract--A key component of the smart grid is the ability to enable dynamic residential pricing to incentivize the customer

    E-Print Network [OSTI]

    Sapatnekar, Sachin

    day-ahead variable peak pricing in order to minimize the customer's energy bill (and alsoAbstract-- A key component of the smart grid is the ability to enable dynamic residential pricing to incentivize the customer and the overall community to utilize energy more uniformly. However

  3. How and why customers respond to electricity price variability: A study of NYISO and NYSERDA 2002 PRL program performance

    SciTech Connect (OSTI)

    Neenan, Bernie; Pratt, Donna; Cappers, Peter; Doane, James; Anderson, Jeremey; Boisvert, Richard; Goldman, Charles; Sezgen, Osman; Barbose, Galen; Bharvirkar, Ranjit

    2003-01-01T23:59:59.000Z

    This summer was the second year of operation for the New York Independent System Operator's (NYISO) suite of Price Responsive Load (PRL) Programs: the Day-Ahead Demand Response Program (DADRP), the Emergency Demand Response Program (EDRP), and the third year of operation for the Installed Capacity Program/Special Case Resources (ICAP/SCR) program. It also marked the second year that the New York State Energy Research Authority (NYSERDA) provided funding to support participation in these programs. NYISO and NYSERDA commissioned Neenan Associates to conduct a comprehensive evaluation of the performance of these PRL programs, building on methods and protocols developed last year and augmented by significant professional staff resources provided by the Consortium for Electric Reliability Technology Solutions (CERTS) with the U. S. Dept. of Energy (DOE) funding. The PRL program evaluation was undertaken from three perspectives. The first, top-down, perspective looks at the overall impact of PRL programs on New York electricity market prices and system reliability. Quantifying price impacts involves simulating what prices would have been had the curtailments not been undertaken. A supply model developed last year was used to reconstruct this year's market supply curve and estimate the change in hourly prices due to PRL-indiced curtailments. Reliability impacts were estimated by valuing the improvement in the reliability associated with curtailments undertaken through the EDRP and ICAP/SCR programs, which were jointly administered during 2002.

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

    E-Print Network [OSTI]

    Marcotte, Patrice

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

  5. The power of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad; Hledik, Ryan; Tsoukalis, John

    2009-04-15T23:59:59.000Z

    Using data from a generic California utility, it can be shown that it is feasible to develop dynamic pricing rates for all customer classes. These rates have the potential to reduce system peak demands from 1 to 9 percent. (author)

  6. Spectral optical monitoring of a double-peaked emission line AGN Arp 102B: I. Variability of spectral lines and continuum

    E-Print Network [OSTI]

    Shapovalova, A I; Burenkov, A N; Chavushyan, V H; Ilic, D; Kollatschny, W; Kovacevic, A; Bochkarev, N G; Valdes, J R; Torrealba, J; Patino-Alvarez, V; Leon-Tavares, J; Benitez, E; Carrasco, L; Dultzin, D; Mercado, A; Zhdanova, V E

    2013-01-01T23:59:59.000Z

    Here we present results of the long-term (1987-2010) optical spectral monitoring of the broad line radio galaxy Arp 102B, a prototype of active galactic nuclei with the double-peaked broad emission lines, usually assumed to be emitted from an accretion disk. To explore the structure of the broad line region (BLR), we analyze the light curves of the broad H\\alpha and H\\beta lines and the continuum flux. We aim to estimate the dimensions of the broad-line emitting regions and the mass of the central black hole. We use the CCF to find lags between the lines and continuum variations. We investigate in more details the correlation between line and continuum fluxes, moreover we explore periodical variations of the red-to-blue line flux ratio using Lomb-Scargle periodograms. The line and continuum light curves show several flare-like events. The fluxes in lines and in the continuum are not showing a big change (around 20%) during the monitoring period. We found a small correlation between the line and continuum flux...

  7. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

    2.3 Wholesale Price vs. Retailof Adjustment - Regular Price, Sales Price and Wholesaleand Vertical Structure -Wholesale price (Weeks)100 Price

  8. Cheese Prices

    E-Print Network [OSTI]

    Schwart Jr., Robert B.; Anderson, David P.; Knutson, Ronald D.

    2003-08-25T23:59:59.000Z

    Cheese prices are derived from the USDA Agricultural Marketing Service Market News, the National Agricultural Statistics Service, and the Chicago Mercantile Exchange. This publication explains the process of cheese pricing. It includes information...

  9. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    Schedules. ” www.pge.com/tariffs/. Last accessed: 4/26/10.and PG&E’s PDP rates (as a peak pricing tariff and as aproxy for TOU pricing tariff) were used. The technology

  10. Oil Peak or Panic?

    SciTech Connect (OSTI)

    Greene, David L [ORNL

    2010-01-01T23:59:59.000Z

    In this balanced consideration of the peak-oil controversy, Gorelick comes down on the side of the optimists.

  11. WECC and Peak Update

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

    WECC and Peak Update Transmission B O N N E V I L L E P O W E R A D M I N I S T R A T I O N Pre-decisional. For Discussion Purposes Only. WECC and Peak Background In the...

  12. Automated Critical Peak Pricing Field Tests: Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-01-01T23:59:59.000Z

    the Internet relay during the Auto-CPP tests due to their2004 tests, five of the 18 sites used an Internet relay thatCPP test. Ten sites used the Internet relay to communicate

  13. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01T23:59:59.000Z

    between bill under CPP tariff and what would have beenthe bill under the old tariff. Average daily summer 2002the implementation of CPP tariffs in the residential sector.

  14. Automated Critical Peak Pricing Field Tests: Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-01-01T23:59:59.000Z

    conversations with Siemens, Honeywell, Syserco, Yamas andmet with Siemens and Honeywell to discuss the site selectiondetails of the CPP tariff. Honeywell did not nominate any

  15. Automated Critical Peak Pricing Field Tests: Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-01-01T23:59:59.000Z

    is manual demand response -- where building staff receive afor demand response analysis ?ELECTRIC Whole building powerof automated demand response (Auto-DR) in buildings and

  16. Automated Critical Peak Pricing Field Tests: Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-01-01T23:59:59.000Z

    Buildings PG&E’s Program Advisory Group (PAG) Cross Cutting Meeting PG&E Integrated Demand Side Management

  17. Automated Critical Peak Pricing Field Tests: Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

    2006-01-01T23:59:59.000Z

    Energy Information Systems (EIS) and Energy Management andstudy used their existing EIS systems for the Auto-DR test.different types of EMCS and EIS systems, they were “unified”

  18. Concurrent Optimization of Consumer's Electrical Energy Bill and Producer's Power Generation Cost under a Dynamic Pricing

    E-Print Network [OSTI]

    Pedram, Massoud

    grid technologies. This is a particularly interesting problem with the use of dynamic energy pricing method to solve this problem is dynamic energy pricing [2]-[10]. Dynamic changes in energy prices provide the customers' peak-hour demands. So, dynamic energy pricing can benefit both the consumer and the producer

  19. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crude023 Understanding Crude Oil Prices James D. Hamilton June

  20. Peaking of world oil production: Impacts, mitigation, & risk management

    SciTech Connect (OSTI)

    Hirsch, R.L. (SAIC); Bezdek, Roger (MISI); Wendling, Robert (MISI)

    2005-02-01T23:59:59.000Z

    The peaking of world oil production presents the U.S. and the world with an unprecedented risk management problem. As peaking is approached, liquid fuel prices and price volatility will increase dramatically, and, without timely mitigation, the economic, social, and political costs will be unprecedented. Viable mitigation options exist on both the supply and demand sides, but to have substantial impact, they must be initiated more than a decade in advance of peaking.... The purpose of this analysis was to identify the critical issues surrounding the occurrence and mitigation of world oil production peaking. We simplified many of the complexities in an effort to provide a transparent analysis. Nevertheless, our study is neither simple nor brief. We recognize that when oil prices escalate dramatically, there will be demand and economic impacts that will alter our simplified assumptions. Consideration of those feedbacks will be a daunting task but one that should be undertaken. Our aim in this study is to-- • Summarize the difficulties of oil production forecasting; • Identify the fundamentals that show why world oil production peaking is such a unique challenge; • Show why mitigation will take a decade or more of intense effort; • Examine the potential economic effects of oil peaking; • Describe what might be accomplished under three example mitigation scenarios. • Stimulate serious discussion of the problem, suggest more definitive studies, and engender interest in timely action to mitigate its impacts.

  1. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    An Exploration of Australian Petrol Demand: Unobserv- ableRelative Prices: Simulating Petrol Con- sumption Behavior.habit stock variable in a petrol demand regression, they

  2. Firing Excess Refinery Butane in Peaking Gas Turbines

    E-Print Network [OSTI]

    Pavone, A.; Schreiber, H.; Zwillenberg, M.

    normal butane production, which will reduce refinery normal butane value and price. Explored is an opportunity for a new use for excess refinery normal butane- as a fuel for utility peaking gas turbines which currently fire kerosene and #2 oil. Our paper...

  3. Firing Excess Refinery Butane in Peaking Gas Turbines 

    E-Print Network [OSTI]

    Pavone, A.; Schreiber, H.; Zwillenberg, M.

    1989-01-01T23:59:59.000Z

    normal butane production, which will reduce refinery normal butane value and price. Explored is an opportunity for a new use for excess refinery normal butane- as a fuel for utility peaking gas turbines which currently fire kerosene and #2 oil. Our paper...

  4. Saving Power at Peak Hours (LBNL Science at the Theater)

    ScienceCinema (OSTI)

    Piette, Mary Ann

    2011-04-28T23:59:59.000Z

    California needs new, responsive, demand-side energy technologies to ensure that periods of tight electricity supply on the grid don't turn into power outages. Led by Berkeley Lab's Mary Ann Piette, the California Energy Commission (through its Public Interest Energy Research Program) has established a Demand Response Research Center that addresses two motivations for adopting demand responsiveness: reducing average electricity prices and preventing future electricity crises. The research seeks to understand factors that influence "what works" in Demand Response. Piette's team is investigating the two types of demand response, load response and price response, that may influence and reduce the use of peak electric power through automated controls, peak pricing, advanced communications, and other strategies.

  5. Retrospective Evaluation of Appliance Price Trends

    SciTech Connect (OSTI)

    Dale, Larry; Antinori, Camille; McNeil, Michael; McMahon, James E.; Fujita, K. Sydny

    2008-07-20T23:59:59.000Z

    Real prices of major appliances (refrigerators, dishwashers, heating and cooling equipment) have been falling since the late 1970s despite increases in appliance efficiency and other quality variables. This paper demonstrates that historic increases in efficiency over time, including those resulting from minimum efficiency standards, incur smaller price increases than were expected by Department of Energy (DOE) forecasts made in conjunction with standards. This effect can be explained by technological innovation, which lowers the cost of efficiency, and by market changes contributing to lower markups and economies of scale in production of higher efficiency units. We reach four principal conclusions about appliance trends and retail price setting: 1. For the past several decades, the retail price of appliances has been steadily falling while efficiency has been increasing. 2. Past retail price predictions made by DOE analyses of efficiency standards, assuming constant prices over time, have tended to overestimate retail prices. 3. The average incremental price to increase appliance efficiency has declined over time. DOE technical support documents have typically overestimated this incremental price and retail prices. 4. Changes in retail markups and economies of scale in production of more efficient appliances may have contributed to declines in prices of efficient appliances.

  6. Idaho_GrousePeak

    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 82981-1cnHigh School footballHydrogenIT | NationalMentoringWindMiller204Grouse Peak

  7. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Koch, Ed; Hennage, Dan

    2010-08-02T23:59:59.000Z

    This study examines the use of OpenADR communications specification, related data models, technologies, and strategies to send dynamic prices (e.g., real time prices and peak prices) and Time of Use (TOU) rates to commercial and industrial electricity customers. OpenADR v1.0 is a Web services-based flexible, open information model that has been used in California utilities' commercial automated demand response programs since 2007. We find that data models can be used to send real time prices. These same data models can also be used to support peak pricing and TOU rates. We present a data model that can accommodate all three types of rates. For demonstration purposes, the data models were generated from California Independent System Operator's real-time wholesale market prices, and a California utility's dynamic prices and TOU rates. Customers can respond to dynamic prices by either using the actual prices, or prices can be mapped into"operation modes," which can act as inputs to control systems. We present several different methods for mapping actual prices. Some of these methods were implemented in demonstration projects. The study results demonstrate show that OpenADR allows interoperability with existing/future systems/technologies and can be used within related dynamic pricing activities within Smart Grid.

  8. On The Portents of Peak Oil (And Other Indicators of Resource Scarcity)

    E-Print Network [OSTI]

    Smith, James L.

    Although economists have studied various indicators of resource scarcity (e.g., unit cost, resource rent, and market price), the phenomenon of “peaking” has largely been ignored due to its connection to non-economic theories ...

  9. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

    Deacon, R.T.; Mead, W.J.; Agarwal, V.B.

    1980-02-01T23:59:59.000Z

    The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

  10. How regulators should use natural gas price forecasts

    SciTech Connect (OSTI)

    Costello, Ken

    2010-08-15T23:59:59.000Z

    Natural gas prices are critical to a range of regulatory decisions covering both electric and gas utilities. Natural gas prices are often a crucial variable in electric generation capacity planning and in the benefit-cost relationship for energy-efficiency programs. High natural gas prices can make coal generation the most economical new source, while low prices can make natural gas generation the most economical. (author)

  11. Fact #835: August 25, Average Annual Gasoline Pump Price, 1929...

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

    50% since the data series began in 1929. The effect of the U.S. embargo of oil from Iran can be seen in the early 1980's with the price of gasoline peaking in 1982. From 2002...

  12. Residential Customer Response to Real-time Pricing: The Anaheim Critical Peak Pricing Experiment

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01T23:59:59.000Z

    need to install a special “smart meter” on your home. * Thisunable to install the smart meter at some customer locationsWe will install a “smart meter” on your home to keep track

  13. Residential Customer Response to Real-time Pricing: The Anaheim Critical Peak Pricing Experiment

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01T23:59:59.000Z

    a special “smart meter” on your home. * This meter willwill install a “smart meter” on your home to keep track of

  14. Does dynamic pricing make sense for mass market customers?

    SciTech Connect (OSTI)

    McDonough, Catherine; Kraus, Robert

    2007-08-15T23:59:59.000Z

    The added incentive to modify electric use under hourly versus monthly market-based pricing is small for most mass market customers in Upstate New York. If the ultimate policy goal of demand-response programs is to reduce peak load, then promoting conservation measures under monthly market-based pricing holds more promise. (author)

  15. An overview of global gold market and gold price forecasting Shahriar Shafiee a,n

    E-Print Network [OSTI]

    Boisvert, Jeff

    into the relationship between gold price and other key influencing variables, such as oil price and global inflationAn overview of global gold market and gold price forecasting Shahriar Shafiee a,n , Erkan Topal b classification: E31 O13 Q32 Keywords: Historical gold market Forecasting mineral prices Long-term trend reverting

  16. Energy Policy 34 (2006) 515531 Have we run out of oil yet? Oil peaking analysis from

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    price shocks and economic downturns. Over the next 30 years oil demand is expected to grow by 60Energy Policy 34 (2006) 515­531 Have we run out of oil yet? Oil peaking analysis from an optimist of conventional oil production from an optimist's perspective. Is the oil peak imminent? What is the range

  17. Modeling and simulation of consumer response to dynamic pricing.

    SciTech Connect (OSTI)

    Valenzuela, J.; Thimmapuram, P.; Kim, J (Decision and Information Sciences); (Auburn Univ.)

    2012-08-01T23:59:59.000Z

    Assessing the impacts of dynamic-pricing under the smart grid concept is becoming extremely important for deciding its full deployment. In this paper, we develop a model that represents the response of consumers to dynamic pricing. In the model, consumers use forecasted day-ahead prices to shift daily energy consumption from hours when the price is expected to be high to hours when the price is expected to be low while maintaining the total energy consumption as unchanged. We integrate the consumer response model into the Electricity Market Complex Adaptive System (EMCAS). EMCAS is an agent-based model that simulates restructured electricity markets. We explore the impacts of dynamic-pricing on price spikes, peak demand, consumer energy bills, power supplier profits, and congestion costs. A simulation of an 11-node test network that includes eight generation companies and five aggregated consumers is performed for a period of 1 month. In addition, we simulate the Korean power system.

  18. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    EIA, World Petroleum Consumption) times the average price of West Texas Intermediate (from the FRED database

  19. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    consumption would be reduced and incentives for production increased whenever the price of crude oil

  20. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

    Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

  1. Peak Oil, Peak Energy Mother Nature Bats Last

    E-Print Network [OSTI]

    Sereno, Martin

    Peak Oil, Peak Energy Mother Nature Bats Last Martin Sereno 1 Feb 2011 (orig. talk: Nov 2004) #12;Oil is the Lifeblood of Industrial Civilization · 80 million barrels/day, 1000 barrels/sec, 1 cubicPods to the roads themselves) · we're not "addicted to oil" -- that's like saying a person has an "addiction

  2. Texas Nuclear Profile - Comanche Peak

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

    Comanche Peak" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

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

    E-Print Network [OSTI]

    Cappers, Peter

    2012-01-01T23:59:59.000Z

    Southwest Power Pool Time of Use Pricing Variable Generationresultant costs. Time of use pricing (TOU) rates provide8). For example, time of use (TOU) pricing sends a DR signal

  4. A computational method and software development for make-to-order pricing optimization

    E-Print Network [OSTI]

    Wang, Zhiyong, S.M. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    High variability of demand and inflexible capacity are inevitable in a make-to-order production despite its cost savings. A computational method is proposed in this thesis to exploit pricing opportunities in the price ...

  5. Capturing the Impact of Fuel Price on Jet Aircraft Operating Costs with Engineering and Econometric Models

    E-Print Network [OSTI]

    Smirti Ryerson, Megan; Hansen, Mark

    2009-01-01T23:59:59.000Z

    the unit price of fuel (UPF), the unit price of labor (PIL),OCD t Seat Util ASL Pil PPI UPF AvgAge TechAge O PERATING CSeat, Util, ASL, Pil, PPI, UPF) and independent variables j

  6. A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices

    E-Print Network [OSTI]

    Fazzio, Thomas J. (Thomas Joseph)

    2010-01-01T23:59:59.000Z

    This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

  7. Energy, power, and office buildings : design and analysis of an off-peak cooling system using structural mass storage

    E-Print Network [OSTI]

    Mathis, Rory Christopher

    1982-01-01T23:59:59.000Z

    As the electric utilities face ever increasing peak power production requirements, (mostly from the commercial sector) scheduled "time-of-day" pricing schemes have become imperative. At present, most conservation strategies ...

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

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

  9. COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    of political activity on pharmaceutical prices, focusing on the health care reform period. We characterize health care reform discussions in 1993, large-scale efforts to curb drug prices were debated and seemed everywhere from the Catastrophic Health Insurance Bill to proposals for Medicare coverage of drugs. During

  10. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01T23:59:59.000Z

    Spot pricing covers a range of electric utility pricing structures which relate the marginal costs of electric generation to the prices seen by utility customers. At the shortest time frames prices change every five ...

  11. Grid Pricing of Fed Cattle

    E-Print Network [OSTI]

    Schroeder, Ted C.; Hogan, Robert J.; Anderson, David P.

    2009-03-02T23:59:59.000Z

    There are several value-based fed cattle pricing systems, including formula pricing, price grids and alliances. This publication describes the different cattle pricing methods and helps you decide which is best for you....

  12. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

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

  13. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

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

  14. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    disruptions, and the peak in U.S. oil production account foroil increased 81.1% (logarithmically) between January 1979 and the peak

  15. Peak finding using biorthogonal wavelets

    SciTech Connect (OSTI)

    Tan, C.Y.

    2000-02-01T23:59:59.000Z

    The authors show in this paper how they can find the peaks in the input data if the underlying signal is a sum of Lorentzians. In order to project the data into a space of Lorentzian like functions, they show explicitly the construction of scaling functions which look like Lorentzians. From this construction, they can calculate the biorthogonal filter coefficients for both the analysis and synthesis functions. They then compare their biorthogonal wavelets to the FBI (Federal Bureau of Investigations) wavelets when used for peak finding in noisy data. They will show that in this instance, their filters perform much better than the FBI wavelets.

  16. Allocating Costs in Ninth Circuit Predatory Pricing Cases: Marsann Co. v. Brammall, Inc. and its Problematic Progeny, Inglis v. Continental Baking and Thales v. Matsushita

    E-Print Network [OSTI]

    Frech, Ted E; Wazzan, C. Paul

    2008-01-01T23:59:59.000Z

    treatment of prices above average variable cost, but belowaverage total cost varies greatly. In the Sixth and Ninthto be below Average Total Cost, but above Average Variable

  17. Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    2008 Abstract The relationship between gasoline prices and the demand for vehicle fuel efficiencyAutomobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We

  18. LED Price Tracking Form

    Broader source: Energy.gov [DOE]

    DOE intends to update the SSL Pricing and Efficacy Trend Analysis for Utility Program Planning report on an annual basis, but doing so requires that we have sufficient product and purchase data including acquisition date, purchase price, product category, and rated initial lumens. Those interested in helping collect this data are asked to use the LED Price Tracking FormMicrosoft Excel and follow the instructions for submitting data.

  19. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Marinovici, Maria C.; Berliner, Teri; Graves, Alan

    2012-07-26T23:59:59.000Z

    Abstract—Dynamic pricing schemes have been implemented in commercial and industrial application settings, and recently they are getting attention for application to residential customers. Time-of-use and critical-peak-pricing rates are in place in various regions and are being piloted in many more. These programs are proving themselves useful for balancing energy during peak periods; however, real-time (5 minute) pricing signals combined with automation in end-use systems have the potential to deliver even more benefits to operators and consumers. Besides system peak shaving, a real-time pricing system can contribute demand response based on the locational marginal price of electricity, reduce load in response to a generator outage, and respond to local distribution system capacity limiting situations. The US Department of Energy (DOE) is teaming with a mid-west electricity service provider to run a distribution feeder-based retail electricity market that negotiates with residential automation equipment and clears every 5 minutes, thus providing a signal for lowering or raising electric consumption based on operational objectives of economic efficiency and reliability. This paper outlines the capability of the real-time pricing system and the operational scenarios being tested as the system is rolled-out starting in the first half of 2012.

  20. Crude Oil Prices

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

    the acquisition date. See the Explanatory Notes section for additional detail. Sources: Energy Information Administration, Form FEA-F701-M-0, "Transfer Pricing Report," January...

  1. Livestock Seasonal Price Variation

    E-Print Network [OSTI]

    Davis, Ernest E.; Sartwelle III, James D.; Mintert, James R.

    1999-09-21T23:59:59.000Z

    that number by the index of the future month for which the price forecast is being determined. For example, if June Amarillo direct fed cattle prices averaged $64 per hun- dredweight (cwt.), the forecast for October would be $64 divided by 97.12, multiplied... by 99.04 = $65.27 per cwt. Adjusting for the vari- ability suggests that there is a 68 percent proba- bility that the October monthly average price would fall between $70.67 cwt. and $59.87 cwt. Seasonal Price Index for Amarillo Direct Fed Steers...

  2. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    historical data for claiming to be able to predict oil pricehistorical data. The second is to look at the predictions of economic theory as to how oil prices

  3. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Kiliccote, Sila

    2010-06-02T23:59:59.000Z

    We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into"building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.

  4. Peak Oil Food Network | Open Energy Information

    Open Energy Info (EERE)

    Butte, Colorado Zip: 81224 Website: http:www.PeakOilFoodNetwork. References: Peak Oil Food Network1 This article is a stub. You can help OpenEI by expanding it. The Peak...

  5. Silver Peak Innovative Exploration Project

    Broader source: Energy.gov [DOE]

    DOE Geothermal Peer Review 2010 - Presentation. Project objectives: Reduce the high level of risk during the early stages of geothermal project development by conducting a multi-faceted and innovative exploration and drilling program at Silver Peak. Determine the combination of techniques that are most useful and cost-effective in identifying the geothermal resource through a detailed, post-project evaluation of the exploration and drilling program.

  6. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06T23:59:59.000Z

    On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  7. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19T23:59:59.000Z

    On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  8. Peak Oil Awareness Network | Open Energy Information

    Open Energy Info (EERE)

    Awareness Network Jump to: navigation, search Name: Peak Oil Awareness Network Place: Crested Butte, Colorado Zip: 81224 Website: http:www.PeakOilAwarenessNet Coordinates:...

  9. Peak thrust operation of linear induction machines from parameter identification

    SciTech Connect (OSTI)

    Zhang, Z.; Eastham, T.R.; Dawson, G.E. [Queen`s Univ., Kingston, Ontario (Canada). Dept. of Electrical and Computer Engineering

    1995-12-31T23:59:59.000Z

    Various control strategies are being used to achieve high performance operation of linear drives. To maintain minimum volume and weight of the power supply unit on board the transportation vehicle, peak thrust per unit current operation is a desirable objective. True peak thrust per unit current through slip control is difficult to achieve because the parameters of linear induction machines vary during normal operation. This paper first develops a peak thrust per unit current control law based on the per-phase equivalent circuit for linear induction machines. The algorithm for identification of the variable parameters in induction machines is then presented. Application to an operational linear induction machine (LIM) demonstrates the utility of this algorithm. The control strategy is then simulated, based on an operational transit LIM, to show the capability of achieving true peak thrust operation for linear induction machines.

  10. The Minimum Price Contract

    E-Print Network [OSTI]

    Waller, Mark L.; Amosson, Stephen H.; Welch, Mark; Dhuyvetter, Kevin C.

    2008-10-17T23:59:59.000Z

    , he can Mark Waller, Steve Amosson, Mark Welch, and Kevin Dhuyvetter* 2 lock in a floor price and still have upside poten- tial if the market rallies. Options-based marketing strategies, such as the minimum price contract, work well in times...

  11. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01T23:59:59.000Z

    The objective of the present spot pricing study carried out for SCE and PG&E is to develop the concepts which wculd lead to an experimental design for spot pricing in the two utilities. The report suggests a set of experiments ...

  12. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support drivers, the course of fossil fuel energy prices, energy efficiency trends, and renewable energy

  13. Gasoline price data systems

    SciTech Connect (OSTI)

    Not Available

    1980-05-01T23:59:59.000Z

    Timely observation on prices of gasoline at the wholesale and retail level by geographical area can serve several purposes: (1) to facilitate the monitoring of compliance with controls on distributor margins; (2) to indicate changes in the competitive structure of the distribution system; (3) to measure the incidence of changes in crude oil and refiner costs on retail prices by grade of gasoline, by type of retail outlet, and by geographic area; (4) to identify anomalies in the retail pricing structure that may create incentives for misfueling; and (5) to provide detailed time series data for use in evaluating conservation response to price changes. In order to provide the needed data for these purposes, the following detail on gasoline prices and characteristics of the sampling procedure appear to be appropriate: (1) monthly sample observations on wholesale and retail prices by gasoline grade and type of wholesale or retail dealer, together with volume weights; (2) sample size sufficient to provide detail by state and large cities; (3) responses to be tabulated and reports provided within 30 days after date of observation; and (4) a quick response sampling procedure that can provide weekly data, at least at the national level, when needed in time of rapidly changing prices. Price detail by state is suggested due to its significance for administrative purposes and since gasoline consumption data are estimated by state from other sources. Price detail for large cities are suggested in view of their relevancy as problem areas for vehicle emissions, reflecting one of the analytical uses of the data. In this report, current reporting systems and data on gasoline prices are reviewed and evaluated in terms of the needs outlined above. Recommendations are made for ways to fill the gaps in existing data systems to meet these needs.

  14. Texas Nuclear Profile - Comanche Peak

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May Jun1DecadeMonthComanche Peak"

  15. Idaho_LonePinePeak

    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 82981-1cnHigh School footballHydrogenIT |Hot Springs Site #0104 Latitude:Peak Site

  16. Price/Cost Proposal Form

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

    PREPARATION INSTRUCTIONS PriceCost Proposal: Provide complete, current, and accurate cost or pricing data in accordance with Federal and Department of Energy Acquisition...

  17. Debate response: Which rate designs provide revenue stability and efficient price signals? Let the debate continue.

    SciTech Connect (OSTI)

    Boonin, David Magnus

    2009-11-15T23:59:59.000Z

    Let's engage in further discussion that provides solutions and details, not just criticisms and assertions. Let's engage in a meaningful dialogue about the conditions where real-time pricing or critical peak pricing with decoupling or the SFV rate design with a feebate is most effective. (author)

  18. Optimization of Demand Response Through Peak Shaving

    E-Print Network [OSTI]

    2013-06-19T23:59:59.000Z

    Jun 19, 2013 ... efficient linear programming formulation for the demand response of such a consumer who could be a price taker, industrial or commercial user ...

  19. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13T23:59:59.000Z

    On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

  20. Multi-Factor Energy Price Models Exotic Derivatives Pricing

    E-Print Network [OSTI]

    Jaimungal, Sebastian

    Multi-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models and practitioners alike recently started to develop the tools of energy derivatives pricing

  1. Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use

    E-Print Network [OSTI]

    Bertini, Robert L.

    Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use A Review of Empirical Findings Hongwei Dong, Ph.D. Candidate John D. Hunt, Professor John Gliebe, Assistant Professor #12;Framework Oil-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

  2. Diesel prices slightly increase

    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 FermiDavidDiesel pricesDiesel prices slightlyDiesel prices

  3. Economic Effects of High Oil Prices (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

    The Annual Energy Outlook 2006 projections of future energy market conditions reflect the effects of oil prices on the macroeconomic variables that affect oil demand, in particular, and energy demand in general. The variables include real gross domestic product (GDP) growth, inflation, employment, exports and imports, and interest rates.

  4. A quantum mechanical version of Price's theorem for Gaussian states

    E-Print Network [OSTI]

    Igor G. Vladimirov

    2014-09-15T23:59:59.000Z

    This paper is concerned with integro-differential identities which are known in statistical signal processing as Price's theorem for expectations of nonlinear functions of jointly Gaussian random variables. We revisit these relations for classical variables by using the Frechet differentiation with respect to covariance matrices, and then show that Price's theorem carries over to a quantum mechanical setting. The quantum counterpart of the theorem is established for Gaussian quantum states in the framework of the Weyl functional calculus for quantum variables satisfying the Heisenberg canonical commutation relations. The quantum mechanical version of Price's theorem relates the Frechet derivative of the generalized moment of such variables with respect to the real part of their quantum covariance matrix with other moments. As an illustrative example, we consider these relations for quadratic-exponential moments which are relevant to risk-sensitive quantum control.

  5. The Economic Impact of Network Pricing Errin W. Fulp1

    E-Print Network [OSTI]

    Reeves, Douglas S.

    prices are more responsive to changing demands. However, experimental results in- dicate only a modest varying parameters such as Time of Day (ToD) statistics. As noted in [12, 13, 5, 9], the aggregate demand the aggregate traffic arriving and departing Wake Forest University campus during a week. Peak demand is evident

  6. Pricing of Service in Clouds: Optimal Response and Strategic Interactions

    E-Print Network [OSTI]

    Urgaonkar, Bhuvan

    . INTRODUCTION Cloud providers and consumers encounter a variety of pric- ing models devised to disincentivize.g., a data center procuring power from an electric utility based on tiered [10] or peak-based [5] pricing (we and paying the data center rather than an electric utility for provisioned power [9]). Ta- ble 1 presents

  7. Pricing an Annuity

    E-Print Network [OSTI]

    (We would certainly charge more to cover administrative costs and to allow for a .... The Price of the Annuity (H12) is the last value in the “Total Present Value to ...

  8. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    timeframe. Projected Wind Generation as % of Electricityrepresent the cost of wind generation. Wind Power Price (time-variability of wind generation is often such that its

  9. The ethics of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad

    2010-07-15T23:59:59.000Z

    Dynamic pricing has garnered much interest among regulators and utilities, since it has the potential for lowering energy costs for society. But the deployment of dynamic pricing has been remarkably tepid. The underlying premise is that dynamic pricing is unfair. But the presumption of unfairness in dynamic pricing rests on an assumption of fairness in today's tariffs. (author)

  10. Changes in the Economic Value of Variable Generation at High Penetration Levels: A Pilot Case Study of California

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    fuel prices, and future investment costs of conventionalof avoided capital investment cost and avoided variable fuelsystem including capital investment cost, variable fuel, and

  11. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    Gas Price Forecast W ith natural gas prices significantlyof AEO 2006 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

  12. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    Natural Gas Price Forecast Although natural gas prices areof AEO 2007 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

  13. The implications of consumer surplus levels for equitable pricing decisions

    E-Print Network [OSTI]

    Christensen, Neal Alan

    1989-01-01T23:59:59.000Z

    benefits, expressed as consumer surplus, derived by the campers as a result of participating in their present trip. The contingent valuation method was approved by the U. S, Water Resource Council in 1979 for use by government agencies as an acceptable... the individual demand function. This inverse demand function specified price as the dependent variable. In the proposed model a measure of a consumer' s surplus was used as an alternative to price. A Consumer's surplus was defined as the amount which...

  14. Appropriate Loads for Peak-Power During Resisted Sprinting on a Non-Motorized Treadmill

    E-Print Network [OSTI]

    Andre, Matthew J.; Fry, Andrew C.; Lane, Michael T.

    2013-10-08T23:59:59.000Z

    The purpose of this study was to determine the load which allows the highest peak power for resisted sprinting on a non-motorized treadmill and to determine if other variables are related to individual differences. Thirty ...

  15. Fewer Prices than Zones Steven Stoft

    E-Print Network [OSTI]

    California at Berkeley. University of

    of the FERC or of its Office of Economic Policy. Nodal energy spot prices induce a least-cost dispatch are priced explicitly instead of implicitly through nodal energy price differences. Pricing transmission energy spot market. Even including the hub price, there are fewer CP+Hub prices than zonal prices

  16. MTBE, methanol prices rise

    SciTech Connect (OSTI)

    Morris, G.D.L.; Cornitius, T.

    1995-12-20T23:59:59.000Z

    After several months of drifting lower in line with declining autumn gasoline prices, tabs for methyl tert-butyl ether (MTBE) have turned around. There has been no big demand surge, but consumers and traders are beginning to build up inventories in advance of a series of midwinter shutdowns and turnarounds by producers. Spot prices, which dropped as low as 75 cts/gal, have rebounded to 90 cts/gal fob. Eager for a positive glimmer, methanol producers posted a 3-cts/gal increase in contract prices this month. It marks the first upward idea since February. In that time contract prices have dropped 75% from $1.55/gal to 39 cts/gal. A hard winter has hit early in much of the US sending natural gas prices up sharply. At the same time, formaldehyde and acetic acid markets remain firm, and with MTBE rebounding, methanol producers feel entitled to a piece of the action. {open_quotes}I don`t buy into this claim that MTBE demand is up and I don`t think producers can justify even a 3-cts/gal increase,{close_quotes} says one. {open_quotes}There is nothing in the economy to warrant a run-up. Housing starts are weaker, and demand is down at least 80,000 bbl/day with the MTBE shutdown.{close_quotes}

  17. Determining Price Reasonableness in UESC Price Proposals

    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:Revised Finding of No53197E T A * S H I E LGeothermal * AugustDETERMINING PRICE

  18. Peak Travel, Peak Car and the Future of Mobility: Evidence, Unresolved...

    Open Energy Info (EERE)

    Travel, Peak Car and the Future of Mobility: Evidence, Unresolved Issues, Policy Implications, and a Research Agenda Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Peak...

  19. 15.818 Pricing, Spring 2005

    E-Print Network [OSTI]

    Tucker, Catherine

    This course, primarily discussion based, provides a framework for understanding pricing strategies and tactics. Topics covered include pricing in competitive markets, estimating demand, price discrimination, the role of ...

  20. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01T23:59:59.000Z

    in construction and price development were synchronized with3 Models of Housing price Development Based on EconomicTable 4 Models of Housing Price Development Based on Lagged

  1. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15T23:59:59.000Z

    In ''The Ethics of Dynamic Pricing,'' Ahmad Faruqui lays out a case for improved efficiency in using dynamic prices for retail electricity tariffs and addresses various issues about the distributional effects of alternative pricing mechanisms. The principal contrast is between flat or nearly constant energy prices and time-varying prices that reflect more closely the marginal costs of energy and capacity. The related issues of fairness criteria, contracts, risk allocation, cost allocation, means testing, real-time pricing, and ethical policies of electricity market design also must be considered. (author)

  2. Texas Farm Commodity Prices.

    E-Print Network [OSTI]

    Childs, V. C. (Virgil C.); Schlotzhauer, Elbert O.; McNeely, John G.

    1948-01-01T23:59:59.000Z

    the base price of 12.4 cents or 31.12 cents a pound. The parity price for wheat was 2.51 times 88.4 cents or $2.22 per bushel. The parity price of potatoes, however, which is calculated from the base August 1919-July 1929, was 1.66 times $1.12 a bushel....90 1.88 1.86 1.78 1.40 1.08 1.12 1920 0 24 1 36 1 44 1.51 1.62 1.70 1.62 1.42 1.15 .94 .86 1921 80 :86 :88 85 84 82 77 64 51 49 52 1922 .51 .58 .66 .68 .72 .72 .72 .74 .71 .72 .79 1923 .92 .95 1.00 1.04 1.04 1.06 1.03 .98 .98 1.01 1.00 1924 1...

  3. Diesel prices decrease

    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 FermiDavidDiesel prices continue toDiesel prices decrease

  4. Diesel prices decrease

    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 FermiDavidDiesel prices continue toDiesel prices

  5. Diesel prices decrease

    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 FermiDavidDiesel prices continue toDiesel pricesDiesel

  6. Diesel prices flat

    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 FermiDavidDiesel prices continueU.S.Diesel prices flat The

  7. Diesel prices flat nationally

    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 FermiDavidDiesel prices continueU.S.Diesel prices flat

  8. Diesel prices increase

    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 FermiDavidDiesel prices continueU.S.Diesel prices

  9. Diesel prices increase

    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 FermiDavidDiesel prices continueU.S.Diesel pricesDiesel

  10. Diesel prices increase nationally

    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 FermiDavidDiesel prices continueU.S.DieselDiesel prices

  11. Diesel prices slightly decrease

    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 FermiDavidDiesel pricesDiesel prices slightly decrease The

  12. Diesel prices slightly decrease

    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 FermiDavidDiesel pricesDiesel prices slightly decrease

  13. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices

  16. Residential propane prices decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices5, 2014

  17. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices5,

  18. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropane prices

  19. Implications of "peak oil" for atmospheric CO2 and climate

    E-Print Network [OSTI]

    Kharecha, P A

    2007-01-01T23:59:59.000Z

    Peaking of global oil production may have a large effect on future atmospheric CO2 amount and climate change, depending upon choices made for subsequent energy sources. We suggest that, if estimates of oil and gas reserves by the Energy Information Administration are realistic, it is feasible to keep atmospheric CO2 from exceeding approximately 450 ppm, provided that future exploitation of the huge reservoirs of coal and unconventional fossil fuels incorporates carbon capture and sequestration. Existing coal-fired power plants, without sequestration, must be phased out before mid-century to achieve this limit on atmospheric CO2. We also suggest that it is important to "stretch" oil reserves via energy efficiency, thus avoiding the need to extract liquid fuels from coal or unconventional fossil fuels. We argue that a rising price on carbon emissions is probably needed to keep CO2 beneath the 450 ppm ceiling.

  20. Convergence Speed of GARCH Option Price to Diffusion Option Price

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    Convergence Speed of GARCH Option Price to Diffusion Option Price Jin-Chuan Duan, Yazhen Wang that as the time interval between two consecutive observations shrinks to zero, a properly constructed GARCH model will weakly converge to a bivariate diffusion. Naturally the European option price under the GARCH model

  1. Convergence Speed of GARCH Option Price to Diffusion Option Price

    E-Print Network [OSTI]

    Wang, Yazhen

    Convergence Speed of GARCH Option Price to Diffusion Option Price Jin-Chuan Duan National constructed GARCH model will weakly converge to a bi- variate diffusion. Naturally the European option price under the GARCH model will also converge to its bivariate diffusion counterpart. This paper investigates

  2. Best Buys and Unit Pricing

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02T23:59:59.000Z

    This guide explains how to determine a unit price--the cost of an item based on a specific unit such as pound or ounce. Unit pricing can be used to identify foods that are the most economical....

  3. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2004-11-30T23:59:59.000Z

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that stock market prices are correlated ...

  4. Rethinking Real Time Electricity Pricing

    E-Print Network [OSTI]

    Allcott, Hunt

    Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the .rst program to expose residential consumers to hourly ...

  5. Pricing with uncertain customer valuations

    E-Print Network [OSTI]

    2007-10-16T23:59:59.000Z

    Building Room 329, 200 W Packer Ave, Bethlehem, PA 18015, ... of uncertainty motivates the introduction of non-linearities in the demand as a function of price ... of price-response functions, parametrized by a risk sensitivity coefficient, which

  6. National Laboratory Dorene Price

    E-Print Network [OSTI]

    : price@bnl.gov ELECTROCHEMICAL ENHANCEMENT OF BIO-ETHANOL AND METABOLITE PRODUCTION Brookhaven National as a manufacturing step in their process to produce bio-ethanol or other commercially used metabolites can implement ApplicationFiled 61/042,867 TECHNOLOGY This method accelerates the production of ethanol and other metabolites

  7. National Laboratory Dorene Price

    E-Print Network [OSTI]

    : price@bnl.gov ACTIVATED ALUMINUM HYDRIDE HYDROGEN STORAGE COMPOSITIONS AND USES THEREOF Brookhaven alanates doped with such metal catalysts. Hydrogen is one part of a balanced, strategic portfolio of energy for the U.S. Department of Energy. An activated aluminum hydride (AlH3 ) composition to control

  8. The role of building technologies in reducing and controlling peak electricity demand

    SciTech Connect (OSTI)

    Koomey, Jonathan; Brown, Richard E.

    2002-09-01T23:59:59.000Z

    Peak power demand issues have come to the fore recently because of the California electricity crisis. Uncertainties surrounding the reliability of electric power systems in restructured markets as well as security worries are the latest reasons for such concerns, but the issues surrounding peak demand are as old as the electric utility system itself. The long lead times associated with building new capacity, the lack of price response in the face of time-varying costs, the large difference between peak demand and average demand, and the necessity for real-time delivery of electricity all make the connection between system peak demand and system reliability an important driver of public policy in the electric utility sector. This exploratory option paper was written at the request of Jerry Dion at the U.S.Department of Energy (DOE). It is one of several white papers commissioned in 2002 exploring key issues of relevance to DOE. This paper explores policy-relevant issues surrounding peak demand, to help guide DOE's research efforts in this area. The findings of this paper are as follows. In the short run, DOE funding of deployment activities on peak demand can help society achieve a more economically efficient balance between investments in supply and demand-side technologies. DOE policies can promote implementation of key technologies to ameliorate peak demand, through government purchasing, technology demonstrations, and improvements in test procedures, efficiency standards, and labeling programs. In the long run, R&D is probably the most important single leverage point for DOE to influence the peak demand issue. Technologies for time-varying price response hold great potential for radically altering the way people use electricity in buildings, but are decades away from widespread use, so DOE R&D and expertise can make a real difference here.

  9. Intraclass Price Elasticity & Electric Rate Design 

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01T23:59:59.000Z

    Electric rate design relies on cost incurrance for pricing and pricing structures. However, as utilities move into a marketing mode, rate design needs to respond more to customer reactions to pricing changes. Intraclass price elasticities aid rate...

  10. 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.

  11. 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.

  12. Modeling intraurban price competition: an example of gasoline pricing

    SciTech Connect (OSTI)

    Haining, R.

    1983-11-01T23:59:59.000Z

    Three interacting market models are considered as models for intraurban retail price variation for a single homogenous good, price-posted gasoline. Modifications include spatial markets instead of interacting economic sectors and supply functions independent of price levels in other markets. The final section discusses the results of fitting one of the models to gasoline data for the city of Sheffield during a period of intensifying price competition in the first quarter of 1982. It is concluded, with respect to gasoline price modeling, both independent and interacting market models exist but at different intraurban scales. 15 references, 1 figure, 1 table.

  13. Promoting Employment Across Kansas (PEAK) (Kansas)

    Broader source: Energy.gov [DOE]

    Promoting Employment Across Kansas (PEAK) allows for the retention of employee payroll withholding taxes for qualified companies or third parties performing services on behalf of such companies....

  14. Adaptive architectures for peak power management

    E-Print Network [OSTI]

    Kontorinis, Vasileios

    2013-01-01T23:59:59.000Z

    load – in fact, we almost completely flatten the power profilepower profiles, we investigate a number of policies for peak power shaving which react to the observed load

  15. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    Figure 5. Monthly oil production for Iran, Iraq, and Kuwait,day. Monthly crude oil production Iran Iraq Kuwait Figure 6.and the peak in U.S. oil production account for the broad

  16. Peak Dose Assessment for Proposed DOE-PPPO Authorized Limits

    SciTech Connect (OSTI)

    Maldonado, Delis [Oak Ridge Institute for Science and Education, Oak Ridge, TN (United States). Independent Environmental Assessment and Verification Program

    2012-06-01T23:59:59.000Z

    The Oak Ridge Institute for Science and Education (ORISE), a U.S. Department of Energy (DOE) prime contractor, was contracted by the DOE Portsmouth/Paducah Project Office (DOE-PPPO) to conduct a peak dose assessment in support of the Authorized Limits Request for Solid Waste Disposal at Landfill C-746-U at the Paducah Gaseous Diffusion Plant (DOE-PPPO 2011a). The peak doses were calculated based on the DOE-PPPO Proposed Single Radionuclides Soil Guidelines and the DOE-PPPO Proposed Authorized Limits (AL) Volumetric Concentrations available in DOE-PPPO 2011a. This work is provided as an appendix to the Dose Modeling Evaluations and Technical Support Document for the Authorized Limits Request for the C-746-U Landfill at the Paducah Gaseous Diffusion Plant, Paducah, Kentucky (ORISE 2012). The receptors evaluated in ORISE 2012 were selected by the DOE-PPPO for the additional peak dose evaluations. These receptors included a Landfill Worker, Trespasser, Resident Farmer (onsite), Resident Gardener, Recreational User, Outdoor Worker and an Offsite Resident Farmer. The RESRAD (Version 6.5) and RESRAD-OFFSITE (Version 2.5) computer codes were used for the peak dose assessments. Deterministic peak dose assessments were performed for all the receptors and a probabilistic dose assessment was performed only for the Offsite Resident Farmer at the request of the DOE-PPPO. In a deterministic analysis, a single input value results in a single output value. In other words, a deterministic analysis uses single parameter values for every variable in the code. By contrast, a probabilistic approach assigns parameter ranges to certain variables, and the code randomly selects the values for each variable from the parameter range each time it calculates the dose (NRC 2006). The receptor scenarios, computer codes and parameter input files were previously used in ORISE 2012. A few modifications were made to the parameter input files as appropriate for this effort. Some of these changes included increasing the time horizon beyond 1,050 years (yr), and using the radionuclide concentrations provided by the DOE-PPPO as inputs into the codes. The deterministic peak doses were evaluated within time horizons of 70 yr (for the Landfill Worker and Trespasser), 1,050 yr, 10,000 yr and 100,000 yr (for the Resident Farmer [onsite], Resident Gardener, Recreational User, Outdoor Worker and Offsite Resident Farmer) at the request of the DOE-PPPO. The time horizons of 10,000 yr and 100,000 yr were used at the request of the DOE-PPPO for informational purposes only. The probabilistic peak of the mean dose assessment was performed for the Offsite Resident Farmer using Technetium-99 (Tc-99) and a time horizon of 1,050 yr. The results of the deterministic analyses indicate that among all receptors and time horizons evaluated, the highest projected dose, 2,700 mrem/yr, occurred for the Resident Farmer (onsite) at 12,773 yr. The exposure pathways contributing to the peak dose are ingestion of plants, external gamma, and ingestion of milk, meat and soil. However, this receptor is considered an implausible receptor. The only receptors considered plausible are the Landfill Worker, Recreational User, Outdoor Worker and the Offsite Resident Farmer. The maximum projected dose among the plausible receptors is 220 mrem/yr for the Outdoor Worker and it occurs at 19,045 yr. The exposure pathways contributing to the dose for this receptor are external gamma and soil ingestion. The results of the probabilistic peak of the mean dose analysis for the Offsite Resident Farmer indicate that the average (arithmetic mean) of the peak of the mean doses for this receptor is 0.98 mrem/yr and it occurs at 1,050 yr. This dose corresponds to Tc-99 within the time horizon of 1,050 yr.

  17. Carbon pricing, nuclear power and electricity markets

    SciTech Connect (OSTI)

    Cameron, R.; Keppler, J. H. [OECD Nuclear Energy Agency, 12, boulevard des Iles, 92130 Issy-les-Moulineaux (France)

    2012-07-01T23:59:59.000Z

    In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised electricity market, looking at the impact of the seven key variables and provide conclusions on the portfolio that a utility would be advised to maintain, given the need to limit risks but also to move to low carbon power generation. Such portfolio diversification would not only limit financial investor risk, but also a number of non-financial risks (climate change, security of supply, accidents). (authors)

  18. Preliminary Assumptions for Natural Gas Peaking

    E-Print Network [OSTI]

    plants and capital cost estimates for peaking technologies Frame, Aeroderivative, Intercooled, Reciprocating Engines Next steps 2 #12;Definitions Baseload Energy: power generated (or conserved) across a period of time to serve system demands for electricity Peaking Capacity: capability of power generating

  19. The Boson peak in supercooled water

    E-Print Network [OSTI]

    Pradeep Kumar; K. Thor Wikfeldt; Daniel Schlesinger; Lars G. M. Pettersson; H. E. Stanley

    2013-05-19T23:59:59.000Z

    We perform extensive molecular dynamics simulations of the TIP4P/2005 model of water to investigate the origin of the Boson peak reported in experiments on supercooled water in nanoconfined pores, and in hydration water around proteins. We find that the onset of the Boson peak in supercooled bulk water coincides with the crossover to a predominantly low-density-like liquid below the Widom line $T_W$. The frequency and onset temperature of the Boson peak in our simulations of bulk water agree well with the results from experiments on nanoconfined water. Our results suggest that the Boson peak in water is not an exclusive effect of confinement. We further find that, similar to other glass-forming liquids, the vibrational modes corresponding to the Boson peak are spatially extended and are related to transverse phonons found in the parent crystal, here ice Ih.

  20. Participation through Automation: Fully Automated Critical Peak Pricing in Commercial Buildings

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

    2006-01-01T23:59:59.000Z

    Figure 2. Demand Response Automation Server and BuildingII system to notify the Automation Server of an up comingoccurs day-ahead). 2. The Automation Server posts two pieces

  1. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    contact your network system administrator. iii) Setup fori) Contact your network system administrator and obtain a

  2. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    °F. Heating Plant Heating lockout when OAT is over 80 °F.side economizer Cooling lockout Control system type _ Inwith EMCS (backup): (backup): Lockout outside air temp (°F):

  3. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    and industrial facilities), further developing the DR Automation of industrial process control systems for  automation.  of  industrial process control  systems for automation.  

  4. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    manual  demand  response,  when  building  staff  receives Demand Response and Energy Efficiency in Commercial Buildings.    Building  Strategies  and  Techniques  for  Demand  Response.  

  5. Participation through Automation: Fully Automated Critical Peak Pricing in Commercial Buildings

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Kiliccote, Sila; Linkugel, Eric

    2006-01-01T23:59:59.000Z

    Figure 2. Demand Response Automation Server and BuildingDemand Response Control Strategies in Commercial Buildings,X X Example of Demand Response from an Office Building This

  6. Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results

    E-Print Network [OSTI]

    Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

    2007-01-01T23:59:59.000Z

    demand side management (DSM) framework as  FINAL REPORT   shown in Figure 12.   DR capabilities in buildings 

  7. Successful Real Time Pricing (RTP) Tieline Control Must Do More Than Save Money

    E-Print Network [OSTI]

    Robinson, J.

    2008-01-01T23:59:59.000Z

    Industrial cogeneration facilities are finding electrical procurement contracts with Real Time Pricing (RTP) clauses attractive. By accepting a portion of the variable energy cost risk, the industrial can reduce the average cost of electricity...

  8. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    gas price forecasts with contemporaneous natural gas pricesreference-case natural gas price forecast, and that have notof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

  9. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    gas price forecasts with contemporaneous natural gas pricesreference-case natural gas price forecast, and that have notof AEO 2008 Natural Gas Price Forecast to NYMEX Futures

  10. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    the base-case natural gas price forecast, but to alsogas price forecasts with contemporaneous natural gas pricesof AEO 2010 Natural Gas Price Forecast to NYMEX Futures

  11. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    range of different plausible price projections, using eitherreference-case fuel price projection from the EIA or someprices and the AEO gas price projections over the past two

  12. Socially Optimal Pricing of Cloud Computing Resources Ishai Menache

    E-Print Network [OSTI]

    Shimkin, Nahum

    Socially Optimal Pricing of Cloud Computing Resources Ishai Menache Microsoft Research New England The cloud computing paradigm offers easily accessible com- puting resources of variable size and capabilities. We con- sider a cloud-computing facility that provides simultaneous service to a heterogeneous

  13. Impact of price specials on estimates of retail meat prices

    E-Print Network [OSTI]

    Degner, Robert L

    1970-01-01T23:59:59.000Z

    ighting Technique V. V. SUM'JARA' AND CONCLUSIONS. 46 55 o3 69 Ti. me-of-the-Week to Collect Prices. Bias Reduced by Regression. Concluding Statement. REFEBENCES. APPENDIX. 89 90 95 100 115 vill LIST OF TABLES Table Page 1-1. Relative...' or individual items in Dallas and Houston. 101 3-1. Simulated BLS price estimates of 46 meat items based upon different sampling rates and weighted average price, or all data, July 1968. . . . . . . . . . . . 107 "Error" of price estimates; differences...

  14. QER- Comment of Cloud Peak Energy Inc

    Broader source: Energy.gov [DOE]

    Dear Ms Pickett Please find attached comments from Cloud Peak Energy as input to the Department of Energy’s Quadrennial Energy Review. If possible I would appreciate a confirmation that this email has been received Thank you.

  15. LNG production for peak shaving operations

    SciTech Connect (OSTI)

    Price, B.C.

    1999-07-01T23:59:59.000Z

    LNG production facilities are being developed as an alternative or in addition to underground storage throughout the US to provide gas supply during peak gas demand periods. These facilities typically involved a small liquefaction unit with a large LNG storage tank and gas sendout facilities capable of responding to peak loads during the winter. Black and Veatch is active in the development of LNG peak shaving projects for clients using a patented mixed refrigerant technology for efficient production of LNG at a low installed cost. The mixed refrigerant technology has been applied in a range of project sizes both with gas turbine and electric motor driven compression systems. This paper will cover peak shaving concepts as well as specific designs and projects which have been completed to meet this market need.

  16. A perspective on the CMB acoustic peak

    E-Print Network [OSTI]

    T. A. Marriage

    2002-03-11T23:59:59.000Z

    CMB angular spectrum measurements suggest a flat universe. This paper clarifies the relation between geometry and the spherical harmonic index of the first acoustic peak ($\\ell_{peak}$). Numerical and analytic calculations show that $\\ell_{peak}$ is approximately a function of $\\Omega_K/\\Omega_M$ where $\\Omega_K$ and $\\Omega_M$ are the curvature ($\\Omega_K > 0$ implies an open geometry) and mass density today in units of critical density. Assuming $\\Omega_K/\\Omega_M \\ll 1$, one obtains a simple formula for $\\ell_{peak}$, the derivation of which gives another perspective on the widely-recognized $\\Omega_M$-$\\Omega_\\Lambda$ degeneracy in flat models. This formula for near-flat cosmogonies together with current angular spectrum data yields familiar parameter constraints.

  17. Essays on Asset Prices

    E-Print Network [OSTI]

    Kim, Sang Bong

    2010-01-16T23:59:59.000Z

    .......................................................................... 65 4.4. Analysis of Data ..................................................................... 71 4.5. Empirical Results ................................................................... 78 4.5.1. GARCH... 2.1. Basic Statistics for Variables .................................................................... 20 2.2. OLS Estimation with Proxies for Variables ............................................. 21 2.3. GARCH(1,1)-M...

  18. Measured Peak Equipment Loads in Laboratories

    SciTech Connect (OSTI)

    Mathew, Paul A.

    2007-09-12T23:59:59.000Z

    This technical bulletin documents measured peak equipment load data from 39 laboratory spaces in nine buildings across five institutions. The purpose of these measurements was to obtain data on the actual peak loads in laboratories, which can be used to rightsize the design of HVAC systems in new laboratories. While any given laboratory may have unique loads and other design considerations, these results may be used as a 'sanity check' for design assumptions.

  19. Mississippi Natural Gas Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet) PriceLiquids, Proved2009 2010

  20. Mississippi Natural Gas Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet) PriceLiquids, Proved2009

  1. Diesel prices decrease

    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 FermiDavidDiesel prices continue to increaseDiesel

  2. Diesel prices decrease

    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 FermiDavidDiesel prices continue to increaseDieselDiesel

  3. Diesel prices decrease

    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 FermiDavidDiesel prices continue to

  4. Diesel prices decrease slightly

    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 FermiDavidDiesel prices continueU.S. DieselDieselDiesel

  5. Diesel prices rise slightly

    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 FermiDavidDiesel prices continueU.S.DieselDieselDiesel

  6. World Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444 U.S.Working and

  7. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5AreOil andMarket Module8.28

  8. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5AreOil andMarket

  9. Georgia Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYear JanPriceIndustrial Consumers48 4.95

  10. Residential heating oil price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) - HouseholdshortEIA-782AAdministrationheating oil price

  11. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  2. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014 Residential

  4. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014

  5. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propane

  6. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propanepropane

  7. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane

  8. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropane

  9. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropanepropane

  10. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Residential propane prices stable

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Residential propane prices stable

    Gasoline and Diesel Fuel Update (EIA)

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

  15. What Is Price Volatility

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

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

  16. Table 1. Crude Oil Prices

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

    December 1980; Form EIA-14, "Refiners' Monthly Cost Report," January 1981 to present. 1. Crude Oil Prices 2 Energy Information Administration Petroleum Marketing Annual 1996...

  17. Table 1. Crude Oil Prices

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

    December 1980; Form EIA-14, "Refiners' Monthly Cost Report," January 1981 to present. 1. Crude Oil Prices 2 Energy Information Administration Petroleum Marketing Annual 1997...

  18. ,"New Mexico Natural Gas Prices"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Prices",8,"Monthly","12015","1151989" ,"Release Date:","331...

  19. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    Sold On Sale and Retail Gasoline Prices Log % Purchased Onhigher gasoline prices into retail prices, by investigatingexcluding California average retail gasoline price for all

  20. Predictability of price movements in deregulated electricity markets

    E-Print Network [OSTI]

    Uritskaya, Olga Y

    2015-01-01T23:59:59.000Z

    In this paper we investigate predictability of electricity prices in the Canadian provinces of Alberta and Ontario, as well as in the US Mid-C market. Using scale-dependent detrended fluctuation analysis, spectral analysis, and the probability distribution analysis we show that the studied markets exhibit strongly anti-persistent properties suggesting that their dynamics can be predicted based on historic price records across the range of time scales from one hour to one month. For both Canadian markets, the price movements reveal three types of correlated behavior which can be used for forecasting. The discovered scenarios remain the same on different time scales up to one month as well as for on- and off- peak electricity data. These scenarios represent sharp increases of prices and are not present in the Mid-C market due to its lower volatility. We argue that extreme price movements in this market should follow the same tendency as the more volatile Canadian markets. The estimated values of the Pareto indi...

  1. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

    Gas Price Forecast With natural gas prices significantlyto the EIA’s natural gas price forecasts in AEO 2004 and AEOon the AEO 2005 natural gas price forecasts will likely once

  2. Postgraduate Scholarship Pricing temperature derivatives and modelling

    E-Print Network [OSTI]

    Banaji,. Murad

    the volumetric risk of the energy units sold, rather than the price risk of each unit. Weather derivativesPostgraduate Scholarship Pricing temperature derivatives and modelling the market price of risk: Pricing temperature derivatives and modelling the market price of risk. Main Supervisor: A. Alexandridis

  3. Conservation Market Price Adder Wally Gibson

    E-Print Network [OSTI]

    and offer into market, if market price justifies cost of building · Utilities purchase at market price gas units · Provides surplus to sell into market in moderate price periods to help cost recovery 2 Overview · Market price does not equal the cost of avoided resource · Market price is still

  4. Higher Prices from Entry: Pricing of Brand-Name Drugs

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Workshop for useful discussions and comments. We especially thank Ernst Berndt for extensive help is price. Using a spatial model, we show that the effect of entry on price depends on how close together products are located in characteristic space. To illustrate this logic, we suppose that a firm enters

  5. Improved Price Indexes for Durable Goods: Measuring the Course of Sweding Housing Prices

    E-Print Network [OSTI]

    Englund, Peter; Quigley, John M.; Redfearn, Christian L.

    1996-01-01T23:59:59.000Z

    2.3. Explanations for the price development may be sought ina similar pattern of price development across regions during

  6. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    to electricity generators to the same price projections fromPrices Delivered to Electricity Generators, Nominal $/MMBtu Each AEO projection

  7. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    to electricity generators to the same price projections fromPrices Delivered to Electricity Generators, Nominal $/MMBtu Each AEO projection

  8. Analysis of the need for intermediate and peaking technologies in the year 2000

    SciTech Connect (OSTI)

    Barrager, S.M.; Campbell, G.L.

    1980-04-01T23:59:59.000Z

    This analysis was conducted to assess the impact of load management on the future need for intermediate- and peak-generating technologies (IPTs) such as combustion turbines, pumped storage, and cycling coal plants. There will be a reduced need for IPTs if load-management activities such as time-of-use pricing, together with customer-owned energy-storage devices, hot-water-heater controls, and interruptible service, can economically remove most of the variation from electric-power demands. Therefore, the analysis assesses the need for IPTs in an uncertain future, which will probably include load management and time-differentiated electricity prices. Section 2 provides a condensed description of the models used in the analysis. (Details and data sets are contained in the appendixes.) Results of sensitivities on growth rates, model parameters, and appliance saturations are discussed in Section 3, which also contains the analysis of the potential impacts of customer energy storage, appliance control, and time-of-use pricing. The future need for intermediate and peaking technologies is analyzed in Section 4.

  9. Making the Traffic Operations Case for Congestion Pricing: Operational Impacts of Congestion Pricing

    SciTech Connect (OSTI)

    Chin, Shih-Miao [ORNL; Hu, Patricia S [ORNL; Davidson, Diane [ORNL

    2011-02-01T23:59:59.000Z

    Congestion begins when an excess of vehicles on a segment of roadway at a given time, resulting in speeds that are significantly slower than normal or 'free flow' speeds. Congestion often means stop-and-go traffic. The transition occurs when vehicle density (the number of vehicles per mile in a lane) exceeds a critical level. Once traffic enters a state of congestion, recovery or time to return to a free-flow state is lengthy; and during the recovery process, delay continues to accumulate. The breakdown in speed and flow greatly impedes the efficient operation of the freeway system, resulting in economic, mobility, environmental and safety problems. Freeways are designed to function as access-controlled highways characterized by uninterrupted traffic flow so references to freeway performance relate primarily to the quality of traffic flow or traffic conditions as experienced by users of the freeway. The maximum flow or capacity of a freeway segment is reached while traffic is moving freely. As a result, freeways are most productive when they carry capacity flows at 60 mph, whereas lower speeds impose freeway delay, resulting in bottlenecks. Bottlenecks may be caused by physical disruptions, such as a reduced number of lanes, a change in grade, or an on-ramp with a short merge lane. This type of bottleneck occurs on a predictable or 'recurrent' basis at the same time of day and same day of week. Recurrent congestion totals 45% of congestion and is primarily from bottlenecks (40%) as well as inadequate signal timing (5%). Nonrecurring bottlenecks result from crashes, work zone disruptions, adverse weather conditions, and special events that create surges in demand and that account for over 55% of experienced congestion. Figure 1.1 shows that nonrecurring congestion is composed of traffic incidents (25%), severe weather (15%), work zones, (10%), and special events (5%). Between 1995 and 2005, the average percentage change in increased peak traveler delay, based on hours spent in traffic in a year, grew by 22% as the national average of hours spent in delay grew from 36 hours to 44 hours. Peak delay per traveler grew one-third in medium-size urban areas over the 10 year period. The traffic engineering community has developed an arsenal of integrated tools to mitigate the impacts of congestion on freeway throughput and performance, including pricing of capacity to manage demand for travel. Congestion pricing is a strategy which dynamically matches demand with available capacity. A congestion price is a user fee equal to the added cost imposed on other travelers as a result of the last traveler's entry into the highway network. The concept is based on the idea that motorists should pay for the additional congestion they create when entering a congested road. The concept calls for fees to vary according to the level of congestion with the price mechanism applied to make travelers more fully aware of the congestion externality they impose on other travelers and the system itself. The operational rationales for the institution of pricing strategies are to improve the efficiency of operations in a corridor and/or to better manage congestion. To this end, the objectives of this project were to: (1) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the study of actual projects, and (2) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the use of modeling and other analytical methods. Specifically, the project was to identify credible analytical procedures that FHWA can use to quantify the impacts of various congestion pricing strategies on traffic flow (throughput) and congestion.

  10. UPDATE February 2012 - The Food Crises: Predictive validation of a quantitative model of food prices including speculators and ethanol conversion

    E-Print Network [OSTI]

    Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer

    2012-01-01T23:59:59.000Z

    Increases in global food prices have led to widespread hunger and social unrest---and an imperative to understand their causes. In a previous paper published in September 2011, we constructed for the first time a dynamic model that quantitatively agreed with food prices. Specifically, the model fit the FAO Food Price Index time series from January 2004 to March 2011, inclusive. The results showed that the dominant causes of price increases during this period were investor speculation and ethanol conversion. The model included investor trend following as well as shifting between commodities, equities and bonds to take advantage of increased expected returns. Here, we extend the food prices model to January 2012, without modifying the model but simply continuing its dynamics. The agreement is still precise, validating both the descriptive and predictive abilities of the analysis. Policy actions are needed to avoid a third speculative bubble that would cause prices to rise above recent peaks by the end of 2012.

  11. Texas Farm Commodity Prices

    E-Print Network [OSTI]

    Childs, V. C. (Virgil C.); Schlotzhauer, Elbert O.; McNeely, John G.

    1948-01-01T23:59:59.000Z

    1" .I61 .I72 .I64 .I87 .276 .320 .356 .349 .220 .207 .213 .217 .270 ,261 .207 .239 .247 .207 .I38 .I02 108 .I46 .206 Wheat Dollars .99 .94 "93 .87 .90 1.06 1.29 2.18 2.08 2.06 2.04 1.09 1.03 .98 1.14 1.57 1.15... markets on or about the 15th of each month. Since, for most products, sales seldom occur at the farm, the prices which farmers receive usually include the cost of handling and delivery to the local market. Sonic trrick crops, notably carrots...

  12. Determining Price Reasonableness in Federal ESPCs

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

    of effort expected. Prices for performance-period services cover mainly labor hours. Preventive maintenance and R&R prices also include replacement parts. A primary standard...

  13. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

    of households know their marginal price of electricity, andhouseholds experience substantially different nonlinear electricity pricehouseholds experience substantially different nonlinear electricity price

  14. Quantifying the value that energy efficiency and renewable energy provide as a hedge against volatile natural gas prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Bachrach, Devra; Golove, William

    2002-05-15T23:59:59.000Z

    Advocates of energy efficiency and renewable energy have long argued that such technologies can mitigate fuel price risk within a resource portfolio. Such arguments--made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001--have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that these sources provide. In evaluating this benefit, it is important to recognize that alternative price hedging instruments are available--in particular, gas-based financial derivatives (futures and swaps) and physical, fixed-price gas contracts. Whether energy efficiency and renewable energy can provide price stability at lower cost than these alternative means is therefore a key question for resource acquisition planners. In this paper we evaluate the cost of hedging gas price risk through financial hedging instruments. To do this, we compare the price of a 10-year natural gas swap (i.e., what it costs to lock in prices over the next 10 years) to a 10-year natural gas price forecast (i.e., what the market is expecting spot natural gas prices to be over the next 10 years). We find that over the past two years natural gas users have had to pay a premium as high as $0.76/mmBtu (0.53/242/kWh at an aggressive 7,000 Btu/kWh heat rate) over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost to hedge gas price risk exposure is potentially large enough - particularly if incorporated by policymakers and regulators into decision-making practices - to tip the scales away from new investments in variable-price, natural gas-fired generation and in favor of fixed-price investments in energy efficiency and renewable energy.

  15. Preliminary Assumptions for Natural Gas Peaking

    E-Print Network [OSTI]

    ; adjusted to 2012$, state construction cost index, vintage of cost estimate, scope of estimate to extent's Discussion Aeroderivative Gas Turbine Technology Proposed reference plant and assumptions Preliminary cost Robbins 2 #12;Peaking Power Plant Characteristics 6th Power Plan ($2006) Unit Size (MW) Capital Cost ($/k

  16. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

    of Oammittee) Ra A. ietrzch C. J ~) Daru. I (Heai of August l987 Price Detezlainatian for Breeding Bulls. (August 1987) Jerry Carl Namkan, B. S. , Texas A&M University; Chair of Advisory Committee: Dr. Donald E. Ferris A study using two different data... sets was conducted to determine the factors affecting the price of zmg~ Hereford hulls. In the first data set, both ~ and lagged national ~ feeder steer, utility cow, and crude oil prices, and net farm income were analyzed in a regzmsion procedure...

  17. Edgeworth Cycles and Focal Prices: Computational Dynamic Markov Equilibria

    E-Print Network [OSTI]

    Noel, Michael D.

    2004-01-01T23:59:59.000Z

    1993). “Gas Wars: Retail Gasoline Price Fluctuations”,Price Cycles: Firm Interaction in the Toronto Retail GasolinePrice Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline

  18. Application for CHE-CCE 2012 Summer Internship Title of project: "Public Acceptance of Congestion Pricing of Transportation"

    E-Print Network [OSTI]

    Keinan, Alon

    Pricing of Transportation" Worksite Location: Ithaca, NY Faculty sponsor: Rick Geddes County Cornell standards for cars and light trucks reduce greenhouse gas emissions and enhance energy independence the acceptance of variable transportation pricing. This includes extant studies that utilize data from telephone

  19. Learning Price-Elasticity of Smart Consumers in Power Distribution Systems

    E-Print Network [OSTI]

    Gómez, Vicenç

    --Demand Response is an emerging technology which will transform the power grid of tomorrow. It is revolutionaryLearning Price-Elasticity of Smart Consumers in Power Distribution Systems Vicenc¸ G´omez1, Michael, not only because it will enable peak load shaving and will add resources to manage large distribution

  20. Peak power tracking for a solar buck charger

    E-Print Network [OSTI]

    Cohen, Jeremy Michael, M. Eng. Massachusetts Institute of Technology

    2010-01-01T23:59:59.000Z

    This thesis discusses the design, implementation, and testing of a buck converter with peak power tracking. The peak power tracker uses a perturb and observe algorithm to actively track the solar panel's peak power point ...

  1. Investors' horizon and stock prices

    E-Print Network [OSTI]

    Parsa, Sahar

    2011-01-01T23:59:59.000Z

    This dissertation consists of three essays on the relation between investors' trading horizon and stock prices. The first chapter explores the theoretical relation between the horizon of traders and the negative externality ...

  2. Table 1. Crude Oil Prices

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

    can be the month of loading, the month of landing, or sometime between those events. Prices for crude oil can be determined at a time other than the acquisition date. See the...

  3. Figure 4. World Oil Prices

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

    4. World Oil Prices" " (2007 dollars per barrel)" ,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030...

  4. The world price of coal

    E-Print Network [OSTI]

    Ellerman, A. Denny

    1994-01-01T23:59:59.000Z

    A significant increase in the seaborne trade for coal over the past twenty years has unified formerly separate coal markets into a world market in which prices move in tandem. Due to its large domestic market, the United ...

  5. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2003-08-01T23:59:59.000Z

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that ...

  6. Central peaking of magnetized gas discharges

    SciTech Connect (OSTI)

    Chen, Francis F. [Electrical Engineering Department, University of California, Los Angeles, California 90095 (United States)] [Electrical Engineering Department, University of California, Los Angeles, California 90095 (United States); Curreli, Davide [Department of Nuclear, Plasma and Radiological Engineering, University of Illinois at Urbana Champaign, Urbana, Illinois 61801 (United States)] [Department of Nuclear, Plasma and Radiological Engineering, University of Illinois at Urbana Champaign, Urbana, Illinois 61801 (United States)

    2013-05-15T23:59:59.000Z

    Partially ionized gas discharges used in industry are often driven by radiofrequency (rf) power applied at the periphery of a cylinder. It is found that the plasma density n is usually flat or peaked on axis even if the skin depth of the rf field is thin compared with the chamber radius a. Previous attempts at explaining this did not account for the finite length of the discharge and the boundary conditions at the endplates. A simple 1D model is used to focus on the basic mechanism: the short-circuit effect. It is found that a strong electric field (E-field) scaled to electron temperature T{sub e}, drives the ions inward. The resulting density profile is peaked on axis and has a shape independent of pressure or discharge radius. This “universal” profile is not affected by a dc magnetic field (B-field) as long as the ion Larmor radius is larger than a.

  7. Triangle Singularities and XYZ Quarkonium Peaks

    E-Print Network [OSTI]

    Adam P. Szczepaniak

    2015-01-26T23:59:59.000Z

    We discuss analytical properties of partial waves derived from projection of a 4-legged amplitude with crossed-channel exchanges in the kinematic region of the direct channel that corresponds to the XYZ peaks in charmonium and bottomonium. We show that in general partial waves can develop anomalous branch points in the vicinity of the direct channel physical region. In a specific case, when these branch points lie on the opposite side of the unitary cut they pinch the integration contour in a dispersion relation and if the pinch happens close to threshold, the normal threshold cusp is enhanced. We show that this effect only occurs if masses of resonances in the crossed channel are in a specific, narrow range. We estimate the size of threshold enhancements originating from these anomalous singularities in reactions where the Zc(3900) and the Zb(10610) peaks have been observed.

  8. Triangle Singularities and XYZ Quarkonium Peaks

    E-Print Network [OSTI]

    Szczepaniak, Adam P

    2015-01-01T23:59:59.000Z

    We discuss analytical properties of partial waves derived from projection of a 4-legged amplitude with crossed-channel exchanges in the kinematic region of the direct channel that corresponds to the XYZ peaks in charmonium and bottomonium. We show that in general partial waves can develop anomalous branch points in the vicinity of the direct channel physical region. In a specific case, when these branch points lie on the opposite side of the unitary cut they pinch the integration contour in a dispersion relation and if the pinch happens close to threshold, the normal threshold cusp is enhanced. We show that this effect only occurs if masses of resonances in the crossed channel are in a specific, narrow range. We estimate the size of threshold enhancements originating from these anomalous singularities in reactions where the Zc(3900) and the Zb(10610) peaks have been observed.

  9. Pricing QoS over transport networks

    E-Print Network [OSTI]

    Bouras, Christos

    Pricing QoS over transport networks Christos Bouras and Afrodite Sevasti The authors Christos and Technology Network (GRNET), Athens, Greece. Keywords Pricing, Performance measurement (quality), Transport allocation and service pricing, with particular needs for pricing mechanisms that preserve the potential

  10. Pricing Information Goods Hal R. Varian

    E-Print Network [OSTI]

    Varian, Hal R.

    on prices except the $1 a copy reproduction costs. Since this price is likely inadequate to recover fixed different prices. As we will see below, this will be true even for a producer who is only interested in costPricing Information Goods by Hal R. Varian University of Michigan June 1995 Current version: June

  11. THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION

    E-Print Network [OSTI]

    Rothman, Daniel

    This draft: April 9, 2013 Abstract The price of crude oil in the U.S. never exceeded $40 per barrel until mid. Joseph Kennedy II, New York Times, April, 10, 2012. 1 Introduction. The price of crude oil in the U.S price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our

  12. Explaining the Price of Voluntary Carbon Offsets

    E-Print Network [OSTI]

    Conte, Marc N.; Kotchen, Matthew

    2009-01-01T23:59:59.000Z

    Energy and Sustainable Development, Stanford Univer- sity. Figure 1: Histogram of carbon offset prices (

  13. Natural gas prices: Rhyme or reason

    SciTech Connect (OSTI)

    Tucker, L.L.

    1995-12-31T23:59:59.000Z

    Problems in the establishment of natural gas prices are outlined. The tropics discussed include: US average natural gas prices; US average natural gas prices; US average fuel oil prices; and US average electric utility natural gas T and D margin in dollars Mcf.

  14. Market concentration, strategic suppliers, and price dispersion 

    E-Print Network [OSTI]

    Wade, Chad R.

    2009-05-15T23:59:59.000Z

    A central result in price theory is the law of one price: prices of a homogeneous good sold at different locations should be equal. Empirical studies of the law of one price find that it is often violated. In my dissertation ...

  15. Paleoecological evidence for abrupt cold reversals during peak Holocene warmth on Baffin Island, Arctic Canada

    E-Print Network [OSTI]

    Briner, Jason P.

    climate forcings, including volcanic eruptions and solar variability, and perturbations such as freshwaterPaleoecological evidence for abrupt cold reversals during peak Holocene warmth on Baffin Island Paleolimnology Abrupt climate change A continuous record of insect (Chironomidae) remains preserved in lake

  16. Accounting for fuel price risk: Using forward natural gas prices instead of gas price forecasts to compare renewable to natural gas-fired generation

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-01-01T23:59:59.000Z

    vs. AEO 2001 Price Forecast Natural Gas Price (nominal $/if forwards forecasts) or natural gas-fired generation (ifs reference case forecast of natural gas prices delivered to

  17. Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: the Infinite Horizon Case

    E-Print Network [OSTI]

    Chen, Xin

    We analyze an infinite horizon, single product, periodic review model in which pricing and production/inventory decisions are made simultaneously. Demands in different periods are identically distributed random variables ...

  18. 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

  19. Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships

    E-Print Network [OSTI]

    Rothman, Daniel

    Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships-busse@kellogg.northwestern.edu, knittel@mit.edu, f-zettelmeyer@kellogg.northwestern.edu #12;Who is Exposed to Gas Prices? How Gasoline of gasoline prices, and consumer responses to gasoline prices have been well studied. In this paper

  20. 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

  1. An Empirical Study of Pricing Strategies in an Online Market with High-Frequency Price Information

    E-Print Network [OSTI]

    Lotko, William

    ), and British shipping cartels by Scott Morton (1997); research on Edgeworth cycles in retail gasoline pricing pricing data on rivals would not have been viewed as suspicious. The retail gasoline pricing data usedAn Empirical Study of Pricing Strategies in an Online Market with High-Frequency Price Information

  2. The Food Crises: A quantitative model of food prices including speculators and ethanol conversion

    E-Print Network [OSTI]

    Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer

    2011-01-01T23:59:59.000Z

    Recent increases in basic food prices are severely impacting vulnerable populations worldwide. Proposed causes such as shortages of grain due to adverse weather, increasing meat consumption in China and India, conversion of corn to ethanol in the US, and investor speculation on commodity markets lead to widely differing implications for policy. A lack of clarity about which factors are responsible reinforces policy inaction. Here, for the first time, we construct a dynamic model that quantitatively agrees with food prices. The results show that the dominant causes of price increases are investor speculation and ethanol conversion. Models that just treat supply and demand are not consistent with the actual price dynamics. The two sharp peaks in 2007/2008 and 2010/2011 are specifically due to investor speculation, while an underlying upward trend is due to increasing demand from ethanol conversion. The model includes investor trend following as well as shifting between commodities, equities and bonds to take ad...

  3. Solar Real-Time Pricing: Is Real-Time Electricity Pricing Beneficial...

    Energy Savers [EERE]

    Information Resources Solar Real-Time Pricing: Is Real-Time Electricity Pricing Beneficial to Solar PV in New York City? Solar Real-Time Pricing: Is Real-Time Electricity...

  4. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    Figure 2 for 5-year price projections), the EIA has, in AEOgenerators to the same price projections from AEO 2001-2006.Strip to AEO 2007 Gas Price Projection Picking the Correct

  5. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    market-based forward price projections argues for furtherAEO 2008 and NYMEX price projections. Nominal ¢/kWh (at 7000that exceed the AEO price projection) described above. If

  6. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    range of different plausible price projections, using eitherreference-case fuel price projection from the EIA or someHenry Hub to the same price projections from AEO 2007-2008.

  7. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

    revisions to the EIA’s natural gas price forecasts in AEOsolely on the AEO 2005 natural gas price forecasts willComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

  8. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  9. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

  10. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  11. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  12. Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals from the Utility

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Gadgil, Ashok J.; Callaway, Duncan S.; Price, Phillip N.; Kiliccote, Sila

    2010-07-01T23:59:59.000Z

    We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynamic pricing signals, we have characterized the response of 44 C&I facilities participating in a Demand Response (DR) program using dynamic pricing in California (Pacific Gas and Electric's Critical Peak Pricing Program). In most cases, facilities shed load during DR events but there is significant heterogeneity in facility responses. Modeling facility response to dynamic price signals is beneficial to the Independent System Operator for scheduling supply to meet demand, to the utility for improving dynamic pricing programs, and to the customer for minimizing energy costs.

  13. Flexible Coal: Evolution from Baseload to Peaking Plant (Brochure)

    SciTech Connect (OSTI)

    Cochran, J.; Lew, D.; Kumar, N.

    2013-12-01T23:59:59.000Z

    Twenty-first century power systems, with higher penetration levels of low-carbon energy, smart grids, and other emerging technologies, will favor resources that have low marginal costs and provide system flexibility (e.g., the ability to cycle on and off to follow changes in variable renewable energy plant output). Questions remain about both the fate of coal plants in this scenario and whether they can cost-effectively continue to operate if they cycle routinely. The experience from the CGS plant demonstrates that coal plants can become flexible resources. This flexibility - namely the ability to cycle on and off and run at lower output (below 40% of capacity) - requires limited hardware modifications but extensive modifications to operational practice. Cycling does damage the plant and impact its life expectancy compared to baseload operations. Nevertheless, strategic modifications, proactive inspections and training programs, among other operational changes to accommodate cycling, can minimize the extent of damage and optimize the cost of maintenance. CGS's cycling, but not necessarily the associated price tag, is replicable. Context - namely, power market opportunities and composition of the generation fleet - will help determine for other coal plants the optimal balance between the level of cycling-related forced outages and the level of capital investment required to minimize those outages. Replicating CGS's experience elsewhere will likely require a higher acceptance of forced outages than regulators and plant operators are accustomed to; however, an increase in strategic maintenance can minimize the impact on outage rates.

  14. Equivalence Principle and the Baryon Acoustic Peak

    E-Print Network [OSTI]

    Baldauf, Tobias; Simonovi?, Marko; Zaldarriaga, Matias

    2015-01-01T23:59:59.000Z

    We study the dominant effect of a long wavelength density perturbation $\\delta(\\lambda_L)$ on short distance physics. In the non-relativistic limit, the result is a uniform acceleration, fixed by the equivalence principle, and typically has no effect on statistical averages due to translational invariance. This same reasoning has been formalized to obtain a "consistency condition" on the cosmological correlation functions. In the presence of a feature, such as the acoustic peak at $l_{\\rm BAO}$, this naive expectation breaks down for $\\lambda_Lpower spectrum. Finally, the success of BAO reconstruction schemes is argue...

  15. Storm Peak Lab Cloud Property Validation

    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 Our Instagram Secretary900Steep SlopeStochastic WeeklyStores Catalog The AmesPeak

  16. Pilot Peak Geothermal Project | 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: Energy ResourcesPicketGeothermal Project Jump to:Pilot Peak

  17. Mt Peak Utility | 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, searchOfRose BendMiasole IncMinutemanVistaZephyr)Mountain AirPeak Utility Jump

  18. 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

  19. Peak Oil and REMI PI+: State Fiscal Implications

    E-Print Network [OSTI]

    Johnson, Eric E.

    the possibility of multiple maxima (peaks) · There is no particular reason why peak oil in New Mexico or some to assume that these peaks will not occur at the same time. #12;The Oil Peak in New Mexico Source: Starbuck are Proved Reserves? "Proved reserves of crude oil are the estimated quantities which geological

  20. Using Environmental Emissions Permit Prices to Raise Electricity Prices: Evidence from the California Electricity Market

    E-Print Network [OSTI]

    Kolstad, Jonathan; Wolak, Frank

    2003-01-01T23:59:59.000Z

    Environmental Emissions Permit Prices to Raise ElectricityEnvironmental Emissions Permit Prices to Raise Electricitythe conditions in the emissions permit market for oxides of

  1. Forecasting Prices andForecasting Prices and Congestion forCongestion for

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    80 100 120 140 160 180 20 30 40 50 60 70 80 90 100 110 Hours Price($/MWh) ANN/ARMA Actual Price ANN 0

  2. adjusted loan pricing: Topics by E-print Network

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

    Spot pricing covers a range of electric utility pricing structures which relate the marginal costs of electric generation to the prices seen by utility customers. At the shortest...

  3. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01T23:59:59.000Z

    4 Calculation of Electricity Prices 4.1 Averageaverage seasonal and annual electricity prices by region inbased annual average electricity price vs. annual energy

  4. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    of actual prices exceeds -the projections of regulatedbe compared to a projection of what price trends would haveand projections related to supplies, demands, margins, and prices. --------

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

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

  6. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimentalDiesel pricesDiesel prices

  7. Diesel prices continue to rise

    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 FermiDavidDiesel prices continue to increaseDiesel prices

  8. Diesel prices slightly decrease nationally

    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 FermiDavidDiesel pricesDiesel prices slightly

  9. Diesel prices slightly increase nationally

    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 FermiDavidDiesel pricesDiesel prices slightlyDiesel

  10. Diesel prices up this week

    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 FermiDavidDiesel pricesDiesel prices

  11. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Residential heating oil prices decrease

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Residential heating oil prices decrease

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Residential propane price decreases slightly

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propane price

  16. PREDICTING AGRI-COMMODITY PRICES: AN ASSET PRICING APPROACH

    E-Print Network [OSTI]

    Kaminsky, Werner

    movements is crucial for ination control and production planning. It is especially relevant to developing reading of future food price movements can be an invaluable budgetary planning tool for various government heavily on commodity productions for growth and export, governments often distribute foodgrains

  17. Market Designs for High Levels of Variable Generation: Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Holttinen, H.; Kiviluoma, J.; Orths, A.; Lynch, M.; Soder, L.

    2014-10-01T23:59:59.000Z

    Variable renewable generation is increasing in penetration in modern power systems, leading to higher variability in the supply and price of electricity as well as lower average spot prices. This raises new challenges, particularly in ensuring sufficient capacity and flexibility from conventional technologies. Because the fixed costs and lifetimes of electricity generation investments are significant, designing markets and regulations that ensure the efficient integration of renewable generation is a significant challenge. This papers reviews the state of play of market designs for high levels of variable generation in the United States and Europe and considers new developments in both regions.

  18. Essays on equity prices and market structures 

    E-Print Network [OSTI]

    Wu, Juan

    2009-05-15T23:59:59.000Z

    In the first essay, we provide new evidence on the relationship between order flow and prices, an issue that is central to asset pricing and market microstructure. We examine proprietary data on a broad panel of NYSE-listed ...

  19. Essays on Pricing Behaviors of Energy Commodities 

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16T23:59:59.000Z

    This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market...

  20. Essays on Risk Sharing and Pricing

    E-Print Network [OSTI]

    Tran, Ngoc-Khanh

    2012-01-01T23:59:59.000Z

    This thesis consists of three chapters in asset pricing. Chapter 1 considers an international asset pricing setting with traded and non-traded out puts. It shows that output fluctuations in nontraded industries are a central ...

  1. An Empirical Test of Pricing Kernel Monotonicity

    E-Print Network [OSTI]

    Beare, Brendan K.; Schmidt, Lawrence

    2011-01-01T23:59:59.000Z

    and Mancini, L. (2008). A GARCH option pricing model with ?H. H. (2011). Realized GARCH: A joint model for returns andO (2010) use an asymmet- ric GARCH model to obtain pricing

  2. Essays on trades and security prices

    E-Print Network [OSTI]

    Obizhaeva, Anna

    2007-01-01T23:59:59.000Z

    This thesis consists of three chapters that investigate the complex relation between security prices and trades of market participants. In the first chapter, I study the evolution of stock prices after trades with different ...

  3. Essays on Pricing Behaviors of Energy Commodities

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16T23:59:59.000Z

    This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market...

  4. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01T23:59:59.000Z

    This thesis analyzes how public utility prices should be changed over time and space. Earlier static and non spatial models of public utility pricing emerge as special cases of the theory developed here. Electricity is ...

  5. Pricing strategies under heterogeneous service requirements

    E-Print Network [OSTI]

    Boucherie, Richard J.

    prioriti- zation is useless; if there were no price difference between the priority classes, all users/Lucent Technologies, P.O. Box 636, Murray Hill, NJ 07974, United States. In other words: the prices of the priority

  6. Credit Price Optimisation within Retail Banking

    E-Print Network [OSTI]

    2013-10-25T23:59:59.000Z

    to a more flexible demand-based pricing strategy, see Skugge (2011). ... Ferguson (2007) bid-response models are presented for customised .... problem, the fundamental building blocks of the credit price optimisation problem is set out below.

  7. Seasonal Price Change and Costs of Storing Grain Sorghum in the Coastal Bend.

    E-Print Network [OSTI]

    Whitney, Howard S.; Moore, Clarence A.

    1957-01-01T23:59:59.000Z

    . instead of increasing. Figure 1. Coastal Bend area and the Eighth CF:' : This would add to his losses if the farmer were depend- Reporting District. ing on the market in his operations. With charges for storage that prevailed in the Coastal Bend during... consistency in the months when peak prices occurred, which adds to the risk of storing grain for future sale. I With the price-support program in effect it has not been necessary for the farmer to rel!.nn the market altogether in deciding whether to sell...

  8. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

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

  9. Davison Health Center Price List*

    E-Print Network [OSTI]

    Royer, Dana

    student account. Please see a Health Center representative for more information. Under the Affordable CareDavison Health Center Price List* Beginning Fall 2013, visits and most services to the Health Act, many of the immunizations and lab tests below are covered by insurance (sexual health testing

  10. Intraclass Price Elasticity & Electric Rate Design

    E-Print Network [OSTI]

    Gresham, K. E.

    INTRACLASS PRICE ELASTICITY &ELECTRIC RATE DESIGN KEVIN E. GRESHAM Senior Research Analyst Houston Lighting & Power Company Houston, Texas ABSTRACT PRICE ELASTICITY Electric ~ate design relies on cost incur rance for pricing and pricing... industries are already affecting electric utilities. Cogeneration is one example of competition which effects electric utilities. Utilities now have a competing source of generation which often causes load and revenue losses. Competition has specifically...

  11. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    1977-1978 HEATING OIL PRICES II-1 II-3 II-3 Wholesale PricesMonthly U.S. Heating Oil Prices, 1970 - 1978 . . A-16 .H-3 .continuous No. 2 heating oil price information from 1970 to

  12. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    capita terms. When crude oil prices are used, these are thedriven by the world crude oil price rather than by exchange-how consumers think about oil prices and price expectations,

  13. PRICING ENERGY DERIVATIVES BY LINEAR PROGRAMMING: TOLLING AGREEMENT CONTRACTS

    E-Print Network [OSTI]

    Uryasev, Stanislav

    PRICING ENERGY DERIVATIVES BY LINEAR PROGRAMMING: TOLLING AGREEMENT CONTRACTS Valeriy Ryabchenko for pricing energy derivatives known as tolling agreement contracts. The pricing problem is reduced energy derivatives. The problem of pricing such contracts falls into the class of multiple optimal

  14. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    Innovation and the price of wind energy in the US. ” Energythe impact of energy price changes on wind turbine prices.Costs 3.6 Energy Prices Life-cycle analyses of wind projects

  15. Export prices and increasing world competition: evidence from French, German, and Italian pricing behavior

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Export prices and increasing world competition: evidence from French, German, and Italian pricing,version1-3Apr2014 #12;Export prices and increasing world competition: evidence from French, German, and Italian pricing behavior Sarah Guillou Stefano Schiavo July 2007 Abstract The paper compares the export

  16. Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008-9

    E-Print Network [OSTI]

    1 Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008 of macroeconomic business cycles on six metals traded on the London Metal Exchange and oil prices. Reduced GDP oil prices (as a proxy for energy inputs in metals production) are derived. The estimated trend

  17. FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY MARKETS

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY and capacity markets have been investigated for this purpose. Latin American mar- kets are exploring energy object first-price auction and single object second- price auction. These formats are analyzed under

  18. Energy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal a

    E-Print Network [OSTI]

    Jaimungal, Sebastian

    Energy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal In this article, we construct forward price curves and value a class of two asset exchange options for energy the implied market prices of risk for this commodity. 1. Introduction The energy commodity markets

  19. A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price and

    E-Print Network [OSTI]

    Oren, Shmuel S.

    marginal price or an option contract on energy at a given strike price will be "in the money", i to price energy call options and generation capacity and to evaluate the inframarginal profit whether the plant will be able, on average, to recover its amortized fixed cost. The pricing of energy

  20. Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices Ahmed distributed lags (NARDL) mod- el to examine the pass-through of crude oil prices into gasoline and natural gas the possibility to quantify the respective responses of gasoline and natural gas prices to positive and negative

  1. USAGE-BASED PRICING DIFFERENTIATION FOR

    E-Print Network [OSTI]

    Huang, Jianwei

    cost, complex pricing schemes are not "customer- friendly" and discourage customers from usingCHAPTER 1 USAGE-BASED PRICING DIFFERENTIATION FOR COMMUNICATION NETWORKS: INCOMPLETE INFORMATION AND LIMITED PRICING CHOICES Shuqin Li, Ph.D.1 and Jianwei Huang, Ph.D.2 1 Research and Innovation, Alcatel

  2. What's Driving Oil Prices? James L. Smith

    E-Print Network [OSTI]

    O'Donnell, Tom

    to demand and supply reactions. "The Coal Age didn't end because producers ran out of coal !!" OIL PRICE VS1 What's Driving Oil Prices? James L. Smith Cary M. Maguire Chair in Oil & Gas Management Critical Issues in Energy Federal Reserve Bank of Dallas November 2, 2006 The Price of OPEC Oil ($/bbl) $0 $20 $40

  3. Oil Price and the Dollar Virginie Coudert

    E-Print Network [OSTI]

    Boyer, Edmond

    The aim of this paper is to test whether a stable long-term relationship exists between oil prices of the relationship between oil prices and the real effective exchange rate of the dollarOil Price and the Dollar Virginie Coudert , Val´erie Mignon , Alexis Penot§ 6th April 2005 Abstract

  4. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

    : In this paper, we develop a spatial price network equilibrium model in which consumers at the demand marketsMulticriteria Spatial Price Networks: Statics and Dynamics Anna Nagurney Department of Finance commodity. We provide the governing equilibrium conditions for the multicriteria spatial price problem

  5. TENDER AND ACCEPTANCE FORM STIPULATED PRICE CONTRACT

    E-Print Network [OSTI]

    deYoung, Brad

    TENDER AND ACCEPTANCE FORM FOR STIPULATED PRICE CONTRACT June 2013 #12;Stipulated Price Contract with that of all Subcontractors working on the Project. (See Appendix "D" for sample schedule that must be submitted within 10 days #12;Stipulated Price Contract Tender and Acceptance Form Page 2 of contract award

  6. Why Do Motor Gasoline Prices Vary Regionally? California Case Study

    Reports and Publications (EIA)

    1998-01-01T23:59:59.000Z

    Analysis of the difference between the retail gasoline prices in California and the average U.S. retail prices.

  7. WENO and Blended BDF Discretizations for Option Pricing

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    values does not only depend on the stock price, but also on other functions of the price development

  8. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08T23:59:59.000Z

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services obtained through conventional procurements. While claims of excessive prices are largely unsubstantiated and based on anecdotal evidence, the perception that there is a problem is shared by many in the ESPC community and has been noted by auditors and oversight organizations. The Price Reasonableness Working Group determined that a more formal emphasis on FAR 15.404-1 in the ESPC process could remove much of the doubt about price reasonableness determinations. The working group's recommended consensus policy on price reasonableness stresses the price analysis techniques described in the FAR that are applicable to ESPCs and includes guidance for agencies use of these techniques in determining price reasonableness for their ESPC delivery orders. The recommended policy and guidance, if communicated to federal ESPC stakeholders, can ensure that agencies will comply with the FAR in awarding ESPCs, obtain fair and reasonable prices and best value for the government, and follow procedures that provide auditable documentation of due diligence in price reasonableness determinations.

  9. SSL Pricing and Efficacy Trend Analysis for Utility Program Planning

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2013-10-01T23:59:59.000Z

    An LED lamp or luminaire can generally be found that matches or exceeds the efficacy of benchmark technologies in a given product category, and LED products continue to expand into ever-higher lumen output niches. However, the price premium for LED continues to pose a barrier to adoption in many applications, in spite of expected savings from reduced energy use and maintenance. Other factors—such as dimmability and quality of light—can also present challenges. The appropriate type, timing, and magnitude of energy efficiency activities will vary from organization to organization based on local variables and the method of evaluation. A number of factors merit consideration when prioritizing activities for development. Category-specific projections for pricing and efficacy are provided herein to assist in efficiency program planning efforts.

  10. Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers: AAAAnnnn UpdatedUpdatedUpdatedUpdated Literature ReviewLiterature ReviewLiterature ReviewLiterature Review

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , such as unexpected fluctuations in energy demand, energy prices (e.g., oil, gas, coal) and weather conditions1 Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers: AAAAnnnn the factors that shape the price of carbon, where one European Union Allowance is equal to one ton of CO2

  11. Measuring and Explaining Electricity Price Changes in Restructured States

    SciTech Connect (OSTI)

    Fagan, Mark L.

    2006-06-15T23:59:59.000Z

    An effort to determine the effect of restructuring on prices finds that, on average, prices for industrial customers in restructured states were lower, relative to predicted prices, than prices for industrial customers in non-restructured states. This preliminary analysis also finds that these price changes are explained primarily by high pre-restructuring prices, not whether or not a state restructured. (author)

  12. Modeling-Computer Simulations At Desert Peak Area (Wisian & Blackwell...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Desert Peak Area (Wisian & Blackwell, 2004) Exploration Activity...

  13. State energy-price system: 1981 update

    SciTech Connect (OSTI)

    Fang, J.M.; Imhoff, K.L.; Hood, L.J.

    1983-08-01T23:59:59.000Z

    This report updates the State Energy Price Data System (STEPS) to include state-level energy prices by fuel and by end-use sectors for 1981. Both physical unit prices and Btu prices are presented. Basic documentation of the data base remains generally the same as in the original report: State Energy Price System; Volume 1: Overview and Technical Documentation (DOE/NBB-0029 Volume 1 of 2, November 1982). The present report documents only the changes in procedures necessitated by the update to 1981 and the corrections to the basic documentation.

  14. State energy price and expenditure report 1991

    SciTech Connect (OSTI)

    Not Available

    1993-09-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

  15. Petroleum industry sensitivity and world oil market prices: The Nigerian example

    SciTech Connect (OSTI)

    Kalu, T.Ch.U. [Univ. of Ilorin (Nigeria)

    1995-12-31T23:59:59.000Z

    Most empirical studies have focused on the demand side of energy with little or no attention to the supply side. To deal with this defect, this paper adopts a microanalytic approach to the problem of the individual oil firms to provide a basis for determining the effects of changes in such macro-variables as prices on their operations. However, instead of the familiar econometric approach to energy studies, a goal programming approach is adopted. Using a multinational oil company as a case study, the effects of change in crude oil prices are examined. The results, among other things, support the hypersensitivity of oil companies to changes in economic cycles, the price inelasticity of demand for crude oil in the short run, and a time lag between price change and the time an oil company responds to it. The management and policy implications of the results are also discussed. 28 refs., 3 tabs.

  16. GTA P.M. PEAK MODEL Version 2.0

    E-Print Network [OSTI]

    Toronto, University of

    WORKING DRAFT GTA P.M. PEAK MODEL Version 2.0 And HALTON REGION SUB-MODEL Documentation & Users' Guide Prepared by Peter Dalton July 2001 #12;GTA P.M. Model Page 2 30/05/2002 Contents 1.0 P.M. Peak ................................................................................................ 4 Table 1 - Features of the P.M. Peak Period Model

  17. The University of Oklahoma Peak People Temporary Services Appointment Notification

    E-Print Network [OSTI]

    Oklahoma, University of

    The University of Oklahoma Peak People Temporary Services Appointment Notification Please read of Oklahoma. Peak Appointment -This section is to be completed by the hiring department. Print Peak Person will not be eligible for any of the University of Oklahoma's benefit programs except for the 403(b) and 457(b

  18. Reduced Peak Power Requirements in FDM and Related Systems

    E-Print Network [OSTI]

    Richardson, Thomas J.

    Reduced Peak Power Requirements in FDM and Related Systems Rajiv Laroia, Tom Richardson, R. This is especially true of communication systems for which the cost of peak transmitted power is critical. Often by the peak power required of the amplifier. On the other hand, the capacity of the system is proportional

  19. Innovative Utility Pricing for Industry

    E-Print Network [OSTI]

    Ross, J. A.

    tariffs can re a market for power during the time when it has sult in benefits to industry, to the electric abundant capacity available. From the other rate utility, and to other ratepayers on the electric payers' perspective, there will be a continued...INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic...

  20. Diesel prices see slight drop

    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 FermiDavidDiesel prices

  1. Analysis of the need for intermediate and peaking technologies in the year 2000. Final report

    SciTech Connect (OSTI)

    Barrager, S.M.; Campbell, G.L.

    1980-04-01T23:59:59.000Z

    This analysis was conducted to assess the impact of load management on the future need for intermediate- and peak-generating technologies (IPTs) such as combustion turbines, pumped storage, and cycling coal plants. There would be a reduced need for IPTs if load-management activities such as time-of-use pricing, together with customer-owned energy-storage devices, hot-water-heater controls, and interruptible service can economically remove most of the variation from electric power demands. The objective of this analysis is to assess the need for IPTs in an uncertain future, which will probably include load management and time-differentiated electricity prices. The analysis is exploratory in nature and broad in scope. It does not attempt to predict the future or to model precisely the technical characteristics or economic desirability of load management. Rather, its purpose is to provide research and development planners with some basic insights into the order of magnitude of possible hourly demand shifts on a regional basis and to determine the impact of load management on daily and seasonal variations in electricity demand.

  2. CORRELATION BETWEEN PEAK ENERGY AND PEAK LUMINOSITY IN SHORT GAMMA-RAY BURSTS

    SciTech Connect (OSTI)

    Zhang, Z. B.; Chen, D. Y. [Department of Physics, College of Sciences, Guizhou University, Guiyang 550025 (China); Huang, Y. F., E-mail: sci.zbzhang@gzu.edu.cn, E-mail: hyf@nju.edu.cn [Department of Astronomy, Nanjing University, Nanjing 210093 (China)

    2012-08-10T23:59:59.000Z

    A correlation between the peak luminosity and the peak energy has been found by Yonetoku et al. as L{sub p} {proportional_to}E{sup 2.0}{sub p,i} for 11 pre-Swift long gamma-ray bursts (GRBs). In this study, for a greatly expanded sample of 148 long GRBs in the Swift era, we find that the correlation still exists, but most likely with a slightly different power-law index, i.e., L{sub p} {proportional_to} E{sup 1.7}{sub p,i}. In addition, we have collected 17 short GRBs with necessary data. We find that the correlation of L{sub p} {proportional_to} E{sup 1.7}{sub p,i} also exists for this sample of short events. It is argued that the radiation mechanism of both long and short GRBs should be similar, i.e., of quasi-thermal origin caused by the photosphere, with the dissipation occurring very near the central engine. Some key parameters of the process are constrained. Our results suggest that the radiation processes of both long and short bursts may be dominated by thermal emission, rather than by the single synchrotron radiation. This might put strong physical constraints on the theoretical models.

  3. Pollution and the price of power

    SciTech Connect (OSTI)

    Dewees, D.N. [University of Toronto, Toronto, ON (Canada). Dept. of Economics

    2008-07-01T23:59:59.000Z

    This study analyses the un-priced environmental harm caused by generating electricity from fossil fuels in the ECAR control region south of the Great Lakes in 2004 and again in 2015 when the recent Clean Air Interstate Rule will have its full effect. Using existing damage values, we estimate wholesale electricity under-pricing for coal-fired plants at about $40 per MWh in 2004, almost as much again as the $45/MWh actual price. Averaging across all fuels, the price of electricity was more than $30/MWh too low. The under-pricing will still be $18/MWh for coal plants and $15 for all generation sources in 2015, a decade after CAIR was adopted. Recognizing this environmental price now could reduce pollution levels, increase energy conservation and lead to wiser choices of new generation technology.

  4. State energy price and expenditure report 1994

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

  5. Oil Price Shocks: Causes and Consequences

    E-Print Network [OSTI]

    Lutz Kilian; Key Words

    Research on oil markets conducted during the last decade has challenged long-held beliefs about the causes and consequences of oil price shocks. As the empirical and theoretical models used by economists have evolved, so has our understanding of the determinants of oil price shocks and of the interaction between oil markets and the global economy. Some of the key insights are that the real price of oil is endogenous with respect to economic fundamentals, and that oil price shocks do not occur ceteris paribus. This makes it necessary to explicitly account for the demand and supply shocks underlying oil price shocks when studying their transmission to the domestic economy. Disentangling cause and effect in the relationship between oil prices and the economy requires structural models of the global economy including oil and other commodity markets.

  6. Appliance Efficiency Standards and Price Discrimination

    SciTech Connect (OSTI)

    Spurlock, Cecily Anna

    2013-05-08T23:59:59.000Z

    I explore the effects of two simultaneous changes in minimum energy efficiency and ENERGY STAR standards for clothes washers. Adapting the Mussa and Rosen (1978) and Ronnen (1991) second-degree price discrimination model, I demonstrate that clothes washer prices and menus adjusted to the new standards in patterns consistent with a market in which firms had been price discriminating. In particular, I show evidence of discontinuous price drops at the time the standards were imposed, driven largely by mid-low efficiency segments of the market. The price discrimination model predicts this result. On the other hand, in a perfectly competition market, prices should increase for these market segments. Additionally, new models proliferated in the highest efficiency market segment following the standard changes. Finally, I show that firms appeared to use different adaptation strategies at the two instances of the standards changing.

  7. Applying Psychology to Economic Policy Design: Using Incentive Preserving Rebates to Increase Acceptance of Critical Peak Electricity Pricing

    E-Print Network [OSTI]

    Letzler, Robert

    2007-01-01T23:59:59.000Z

    Slaboszewicz. Pepco smart meter pilot program inc. focusbe used in a small customer smart meter project. Formal Case

  8. Applying Psychology to Economic Policy Design: Using Incentive Preserving Rebates to Increase Acceptance of Critical Peak Electricity Pricing

    E-Print Network [OSTI]

    Letzler, Robert

    2007-01-01T23:59:59.000Z

    by im- proving economic incentives. This project adds thatproblems by improving economic incentives. Insights abouta way to present good economic incentives that is IP rebates

  9. Applying Psychology to Economic Policy Design: Using Incentive Preserving Rebates to Increase Acceptance of Critical Peak Electricity Pricing

    E-Print Network [OSTI]

    Letzler, Robert

    2007-01-01T23:59:59.000Z

    Patti Harper-Slaboszewicz. Pepco smart meter pilot program20520-E, July 2003c. Pepco. District of columbia residentialconsumers. Members of a PEPCO focus group of residential

  10. Cataclysmic Variables

    E-Print Network [OSTI]

    Robert Connon Smith

    2007-01-23T23:59:59.000Z

    Cataclysmic variables are binary stars in which a relatively normal star is transferring mass to its compact companion. This interaction gives rise to a rich range of behaviour, of which the most noticeable are the outbursts that give the class its name. Novae belong to the class, as do the less well known dwarf novae and magnetic systems. Novae draw their energy from nuclear reactions, while dwarf novae rely on gravity to power their smaller eruptions. All the different classes of cataclysmic variable can be accommodated within a single framework and this article will describe the framework, review the properties of the main types of system and discuss models of the outbursts and of the long-term evolution.

  11. Do Americans Consume Too Little Natural Gas? An Empirical Test of Marginal Cost Pricing

    E-Print Network [OSTI]

    Davis, Lucas; Muehlegger, Erich

    2009-01-01T23:59:59.000Z

    consumption and average delivered prices by customer class, city gate prices, the spot price for North Sea crude oil (

  12. State energy price and expenditure report 1993

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 states and the District of Columbia and in aggregate for the US. The five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.

  13. State energy price and expenditure report 1992

    SciTech Connect (OSTI)

    Not Available

    1994-12-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.

  14. The effects of oil prices and other economic indicators on housing prices in Calgary, Canada

    E-Print Network [OSTI]

    Padilla, Mercedes A. (Mercedes Angeles)

    2005-01-01T23:59:59.000Z

    This thesis aims to answer: (1) to what extent can oil prices and other economic indicators predict the changes in housing prices and rent in the Calgary single family housing market and (2) to determine what the lag time ...

  15. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    late January 2008, extend its natural gas futures strip anComparison of AEO 2008 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

  16. Effect of asymmetry in peak profiles on solar oscillation frequencies

    E-Print Network [OSTI]

    Sarbani Basu; H. M. Antia

    1999-11-02T23:59:59.000Z

    Most helioseismic analyses are based on solar oscillations frequencies obtained by fitting symmetric peak profiles to the power spectra. However, it has now been demonstrated that the peaks are not symmetric. In this work we study the effects of asymmetry of the peak profiles on the solar oscillations frequencies of p-modes for low and intermediate degrees. We also investigate how the resulting shift in frequencies affects helioseismic inferences.

  17. Prices

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

    94.2 89.0 81.6 75.6 84.7 103.4 101.5 95.7 84.9 - 90.7 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 2002 Table 31. Motor Gasoline...

  18. Prices

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

    74.2 67.4 60.1 55.9 62.4 84.5 82.2 74.2 62.7 - 68.9 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline...

  19. Prices

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

    63.0 58.0 50.7 47.4 53.6 73.5 71.8 64.8 55.2 - 60.8 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline...

  20. Prices

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

    105.1 96.8 85.5 74.5 87.9 117.2 114.6 104.5 91.4 - 97.7 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline...

  1. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousand CubicCubic Feet) Year JanThousand Cubic68.4 68.0

  2. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousand CubicCubic Feet) Year JanThousand Cubic68.4

  3. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousand CubicCubic Feet) Year JanThousand Cubic68.4103.5

  4. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar(DollarsCubicThousand68.7 68.6 63.5 58.9 55.6 59.7

  5. The Price of Feed Utilities.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01T23:59:59.000Z

    'point of view of thr chemist. ref If Figure 1-Prices of digestible protein. and productive energy in cent5 a pound. Methods Suggested Several 'methods have been used for solving some of the problems erred to above. The cottonseed crushers use the protein... of the proteins of various feeds. The productive energy of a feed, expressed in therms or fat, meas- es its power of furnishing heat or energy to the animal, or of furnish- ing material or energy for the production of fat, or for work or for other uses...

  6. Propane (Consumer Grade) Prices - Industrial

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice8.PDFThousand7. ConsumptionNov-14698 1.873

  7. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimental CapabilitiesDiesel prices

  8. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimentalDiesel prices continue to

  9. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimentalDiesel prices continue

  10. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimentalDiesel prices continueDiesel

  11. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimentalDiesel prices

  12. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimentalDiesel pricesDiesel

  13. Diesel prices continue to decrease

    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 FermiDavid TurnerExperimentalDiesel pricesDieselDiesel

  14. Diesel prices continue to fall

    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 FermiDavid TurnerExperimentalDieselDiesel prices

  15. Diesel prices continue to increase

    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 FermiDavid TurnerExperimentalDieselDiesel pricesDiesel

  16. Diesel prices continue to increase

    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 FermiDavid TurnerExperimentalDieselDieselDiesel prices

  17. Diesel prices continue to increase

    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 FermiDavidDiesel prices continue to increase The U.S.

  18. Diesel prices continue to increase

    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 FermiDavidDiesel prices continue to increase The

  19. Diesel prices continue to increase

    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 FermiDavidDiesel prices continue to increase TheDiesel

  20. Diesel prices remain fairly stable

    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 FermiDavidDiesel prices continueU.S.DieselDiesel

  1. All Price Tables.vp

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4) June

  2. All Price Tables.vp

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)

  3. All Price Tables.vp

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)0)

  4. All Price Tables.vp

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)0)8.

  5. All Price Tables.vp

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)0)8.2.

  6. Gasoline prices decrease (Short version)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24, 2014 Gasoline pricesGasolineShort

  7. Gasoline prices decrease (long version)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24, 2014 Gasoline5, 2014 Gasoline prices

  8. Gasoline prices decrease (short version)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24, 2014 Gasoline5, 2014Gasoline prices

  9. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6, 2014

  15. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6,

  16. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6,4

  17. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9, 2015

  20. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9, 20155,

  1. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9,

  2. Residential heating oil prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9,heating

  3. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  4. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  7. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  8. Residential heating oil prices decrease

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014

  11. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014heating

  12. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014heating5,

  13. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,

  14. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating oil

  15. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating

  16. Residential propane price is unchanged

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,

  17. Single-Product Pricing via Robust Optimization

    E-Print Network [OSTI]

    2006-01-30T23:59:59.000Z

    manufacturing to fashion retail. Applying probabilistic ... In Section 2, we develop the robust pricing model in the presence of additive uncertainty. We analyze.

  18. Optimal Pricing Policies for Perishable Products

    E-Print Network [OSTI]

    company must spend more money informing its customers of the changes and risks upsetting customers who may expect prices to be reasonably static over.

  19. Sustainably Priced Energy Enterprise Development (SPEED) Goals

    Broader source: Energy.gov [DOE]

    Vermont's Sustainably Priced Energy Enterprise Development (SPEED) Program was created by legislation in 2005 to promote renewable energy development. The SPEED program itself is not a renewable...

  20. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01T23:59:59.000Z

    The hypothesis of this paper is that crude oil, like any other unfinished commodity, is valued for the products derived from it; the purpose is to offer an empirical explanation for changes in the crude price charged by the members of OPEC. The model results show that the market-clearing prices reported to prevail for petroleum products on the principal petroleum spot market at Rotterdam are the primary determinants of changes in official crude prices. A systematic relationship between offical and spot prices is argued to have prevailed since 1974. An appendix clarifies five types of data required for the model. 13 references, 4 tables.

  1. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

    marginal costs of electricity, average price responseequal to the average cost of electricity under the existingequal to the average cost of electricity under the existing

  2. Nuclear Hydrogen for Peak Electricity Production and Spinning Reserve

    SciTech Connect (OSTI)

    Forsberg, C.W.

    2005-01-20T23:59:59.000Z

    Nuclear energy can be used to produce hydrogen. The key strategic question is this: ''What are the early markets for nuclear hydrogen?'' The answer determines (1) whether there are incentives to implement nuclear hydrogen technology today or whether the development of such a technology could be delayed by decades until a hydrogen economy has evolved, (2) the industrial partners required to develop such a technology, and (3) the technological requirements for the hydrogen production system (rate of production, steady-state or variable production, hydrogen purity, etc.). Understanding ''early'' markets for any new product is difficult because the customer may not even recognize that the product could exist. This study is an initial examination of how nuclear hydrogen could be used in two interconnected early markets: the production of electricity for peak and intermediate electrical loads and spinning reserve for the electrical grid. The study is intended to provide an initial description that can then be used to consult with potential customers (utilities, the Electric Power Research Institute, etc.) to better determine the potential real-world viability of this early market for nuclear hydrogen and provide the starting point for a more definitive assessment of the concept. If this set of applications is economically viable, it offers several unique advantages: (1) the market is approximately equivalent in size to the existing nuclear electric enterprise in the United States, (2) the entire market is within the utility industry and does not require development of an external market for hydrogen or a significant hydrogen infrastructure beyond the utility site, (3) the technology and scale match those of nuclear hydrogen production, (4) the market exists today, and (5) the market is sufficient in size to justify development of nuclear hydrogen production techniques independent of the development of any other market for hydrogen. These characteristics make it an ideal early market for nuclear hydrogen.

  3. Microgrid Dispatch for Macrogrid Peak-Demand Mitigation

    E-Print Network [OSTI]

    DeForest, Nicholas

    2013-01-01T23:59:59.000Z

    on-peak rates from time-of-use (TOU) tariffs while enhancingTable 1 Time of Use Electricity Tariff at SRJ Period Summer

  4. affect peak oxidative: Topics by E-print Network

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

    establish a monotonicity result that indicates fuel supply Todd, Michael J. 119 Potential Peak Load Reductions From Residential Energy Efficient Upgrades Texas A&M University -...

  5. assisting daytime peaking: Topics by E-print Network

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

    models are deterministic Minnesota, University of 105 Distributed Battery Control for Peak Power Shaving in Datacenters Computer Technologies and Information Sciences Websites...

  6. artery peak systolic: Topics by E-print Network

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

    power spectrum. Michael P. Hobson 1996-11-26 69 COMMITTEE FINAL REPORT REVISED SHORTTERM PEAK Energy Storage, Conversion and Utilization Websites Summary: , weather adjustment,...

  7. Structural Analysis of the Desert Peak-Brady Geothermal Fields...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Conference Paper: Structural Analysis of the Desert Peak-Brady Geothermal Fields, Northwestern Nevada: Implications for...

  8. Reducing Peak Demand to Defer Power Plant Construction in Oklahoma

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

    Reducing Peak Demand to Defer Power Plant Construction in Oklahoma Located in the heart of "Tornado Alley," Oklahoma Gas & Electric Company's (OG&E) electric grid faces significant...

  9. annihilation coincidence peak: Topics by E-print Network

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

    V. Fedorov; Julia M. Mikhailova; Peter A. Volkov 2011-12-05 3 (2013) 128 Data Center Demand Response: Avoiding the Coincident Peak via Computer Technologies and Information...

  10. 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...

  11. PRICE, GEORGE George Price, 1922-1975, trained as a chemist, contrib-

    E-Print Network [OSTI]

    Frank, Steven A.

    powerful expression of his altru- ism theory. In his second contribution, Price developed a model for how

  12. Shadow Prices vs. Vickrey Prices in Multipath Routing Parthasarathy Ramanujam, Zongpeng Li, Lisa Higham

    E-Print Network [OSTI]

    Li, Zongpeng

    gain, measuring cost reduction due to link capacity increment. Vickrey prices and gains help routing [3], [8], paying a rational link its claimed cost plus its Vickrey price economically motivates a truthful report in cost. Shadow prices, from a primal-dual perspective, are optimal dual solutions where

  13. A comparison of option prices under different pricing measures in a stochastic volatility model

    E-Print Network [OSTI]

    Howison, Sam

    A comparison of option prices under different pricing measures in a stochastic volatility model with correlation Vicky Henderson Princeton University David Hobson § University of Bath Sam Howison ¶ University option prices in an incomplete stochastic volatility model with correlation. In a general setting, we

  14. A Time Series Analysis of Food Price and Its Input Prices 

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

    of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...

  15. Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    -source agent-based test bed developed by the authors. AMES models a restructured wholesale power market test bed, locational marginal prices, demand-bid price sensitivity, supply-offer price caps, learning to as the Wholesale Power Market Platform (WPMP). As detailed in [3], versions of the WPMP have been implemented (or

  16. A Time Series Analysis of Food Price and Its Input Prices

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

    of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...

  17. HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS

    E-Print Network [OSTI]

    the dynamic variation in wholesale energy costs. This can be accomplished by letting retail prices varyHOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS Ahmad Faruqui and Sanem Sergici1 November 13, 2008 Since the energy crisis disrupted markets

  18. myPower Pricing Pilot Final Findings myPower Pricing Pilot Segments

    E-Print Network [OSTI]

    Understand how price signals can influence customers' energy usage patterns. Test customers' reaction that transferred energy pricing and interval consumption data to and from the customer's meter. To try multiple-way communications to transfer energy pricing and interval consumption data and allowed PSE&G to test customer

  19. Use of Residential Smart Appliances for Peak Load Shifting & Spinning Reserves: Cost Benefit Analysis

    SciTech Connect (OSTI)

    Sastry, Chellury; Pratt, Robert G.

    2010-12-01T23:59:59.000Z

    Abstract In this paper, we present the results of an analytical cost-benefit study of residential smart appliances in support of a joint stakeholder petition to the EPA and DOE to provide a 5% credit to meet ENERGY STAR eligibility criteria for products that meet the definition of a smart appliance. The underlying hypothesis is that smart appliances can play a critical role in addressing some of the challenges associated with increased electricity demand, and increased penetration of renewable sources of power. Our analytical model utilizes current annual appliance electricity consumption data, and estimates what the wholesale grid operating cost savings would be if some percentage of appliance loads were shifted away from peak hours to run during off-peak hours, and appliance loads serve power system balancing needs such as spinning reserves that would otherwise have to be provided by generators. Historical wholesale market clearing prices (location marginal and spinning reserve) from major wholesale power markets in the United States are used to estimate savings. The savings are then compared with the five percent credit, to determine if the savings in grid operating costs (benefits) are at least as high as the credit (cost) if not higher.

  20. On Transforming Spectral Peaks in Voice Conversion Elizabeth Godoy 1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    On Transforming Spectral Peaks in Voice Conversion Elizabeth Godoy 1 , Olivier Rosec1 , Thierry.chonavel@telecom-bretagne.eu Abstract This paper explores the benefits of transforming spectral peaks in voice conversion. First, in examining classic GMM- based transformation with cepstral coefficients, we show that the lack of transformed

  1. Distributed Battery Control for Peak Power Shaving in Datacenters

    E-Print Network [OSTI]

    Simunic, Tajana

    Distributed Battery Control for Peak Power Shaving in Datacenters Baris Aksanli and Tajana Rosing-physical systems with continuous performance and power measurements, and real-time control decisions related to shave peak power demands. Our novel distributed battery control design has no performance impact

  2. PEAKING OF WORLD OIL PRODUCTION: IMPACTS, MITIGATION, & RISK MANAGEMENT

    E-Print Network [OSTI]

    Laughlin, Robert B.

    PEAKING OF WORLD OIL PRODUCTION: IMPACTS, MITIGATION, & RISK MANAGEMENT Robert L. Hirsch, SAIC OF WORLD OIL PRODUCTION III. WHY TRANSITION WILL BE TIME CONSUMING IV. LESSONS FROM PAST EXPERIENCE V REMARKS APPENDICES #12;4 EXECUTIVE SUMMARY The peaking of world oil production presents the U

  3. Peaks of Otter Soil and Water Conservation District

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    leadership and education to sustain and utilize Bedford's natural resources in a manner that will enhancePeaks of Otter Soil and Water Conservation District Annual Report FY 2014 1071ATurnpikeRd.Bedford,VA24523 "The Peaks of Otter Soil and Water Con- servation District, with its partners, will provide

  4. Bunch Compressor for small Emittances and high Peak Currents

    E-Print Network [OSTI]

    Bunch Compressor for small Emittances and high Peak Currents the VUV Free­Electron Laser Frank Stulle University Hamburg #12; #12; Bunch Compressor for small Emittances and high Peak Currents the VUV longitudinally in two magnetic chicanes. first chicane modified version bunch compressor (BC2) which TTF1

  5. TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING CAPACITY IN

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-085 TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING CAPACITY IN CALIFORNIA, California 94720-5180 www.ucei.org #12;TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING** Abstract This study analyzes state and regional electricity supply and demand trends for the eleven states

  6. P3DDT Peak Profile Analysis 4.1 Introduction

    E-Print Network [OSTI]

    Winokur, Michael

    81 Chapter 4 P3DDT Peak Profile Analysis 4.1 Introduction The increasing molecular level complexity of paracrystal order are given in Ref. [36]. #12; 82 CHAPTER 4. P3DDT PEAK PROFILE ANALYSIS The well are the primary reasons why few have attempted apply­ ing this methodology to polymer systems. P3DDT is a polymer

  7. Smoothing the Energy Consumption: Peak Demand Reduction in Smart Grid

    E-Print Network [OSTI]

    Li, Xiang-Yang

    for autonomous demand side management within one house. The DRS devices are able to sense and control the peak energy consumption or demand. We assume that several appliances within one building access to oneSmoothing the Energy Consumption: Peak Demand Reduction in Smart Grid Shaojie Tang , Qiuyuan Huang

  8. Price-Responsive Load (PRL) Program - Framing Paper No.1

    SciTech Connect (OSTI)

    Goldman, Charles A.

    2002-03-01T23:59:59.000Z

    By definition, effective and efficient competitive markets need a supply side and a demand side. One criticism of electric restructuring efforts in many states is that most of the attention has been focused on the supply side, in a market focused on the short term. In general, the demand side of the market has been under-addressed. The objective of the New England Demand Response Initiative (NEDRI) is to develop a comprehensive, coordinated set of demand response programs for the New England regional power markets. NEDRI aims to maximize the capability of demand response to compete in the wholesale market and to improve the economic efficiency and environmental profile of the electric sector. To those ends, NEDRI is focusing its efforts in four interrelated areas: (1) ISO-level reliability programs, (2) Market-based price-responsive load programs, (3) Demand response at retail through pricing, rate design, and advanced metering, and (4) End-use energy efficiency resources as demand response. The fourth area, energy efficiency, is the subject of this framing paper. Energy efficiency reduces the energy used by specific end-use devices and systems, typically without affecting the level of service and without loss of amenity. Energy savings and peak load reductions are achieved by substituting technically more advanced equipment, processes, or operational strategies to produce the same or an improved level of end-use service with less electricity. In contrast, load management programs lower peak demand during specific, limited time periods by either (1) influencing the timing of energy use by shifting load to another time period, or (2) reducing the level of energy use by curtailing or interrupting the load, typically with some loss of service or amenity.

  9. Consensus Coal Production And Price Forecast For

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

  10. Durable Goods, Price Indexes, and Monetary Policy

    E-Print Network [OSTI]

    Han, Kyoung Soo

    2009-05-15T23:59:59.000Z

    The dissertation studies the relationship among durable goods, price indexes and monetary policy in two sticky-price models with durable goods. One is a one-sector model with only durable goods and the other is a two-sector model with durable...

  11. Pricing in Information-Centric Network Interconnection

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    --ICN interconnection, economic incentives, col- laborative caching, non-cooperative games, network pricing. I economic incentives for caching and sharing content in ICN interconnection. For example, an ISP provider Engineering Department, ETH Zurich, Switzerland Abstract--We propose a pricing model to study the economic

  12. Fortuna: Model Checking Priced Probabilistic Timed Automata

    E-Print Network [OSTI]

    Vaandrager, Frits

    Fortuna: Model Checking Priced Probabilistic Timed Automata Jasper Berendsen, David N. Jansen.O. Box 9010, 6500 GL Nijmegen, the Netherlands Abstract. We introduce Fortuna, the first tool for model checking priced probabilistic timed automata (PPTAs). Fortuna can handle the combination of real

  13. On Accurate Trinomial GARCH Option Pricing

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    On Accurate Trinomial GARCH Option Pricing Algorithms Advisor: Prof. Yuh-Dauh Lyuu Chun-Yang Liu Department of Computer Science and Information Engineering National Taiwan University #12;Abstract The GARCH-based GARCH option pricing algorithms suffer from exponential running time, inaccuracy, or other problems

  14. What drives option prices? Frdric Abergel1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . The study reveals that while the modeling of stochastic volatility gives more robust models, the market does 2 Theoretical framework 4 3 Intraday joint dynamics of option and underlying prices 5 3.1 EppsWhat drives option prices? Frédéric Abergel1 and Riadh Zaatour2 Chair of Quantitative Finance Ecole

  15. Trends in Utility Green Pricing Programs (2005)

    SciTech Connect (OSTI)

    Bird, L.; Brown, E.

    2006-10-01T23:59:59.000Z

    This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  16. Hardwood price reporting. Forest Service research paper

    SciTech Connect (OSTI)

    Sohngen, B.L.; Haynes, R.W.

    1994-02-01T23:59:59.000Z

    The prices for red alder (Alnus rubra) hardwood logs are published and analyzed for reliability, consistency, and robustness. Timberland managers can use these prices to make decisions about land management. They show that values for red alder logs have been increasing steadily for the last 11 years.

  17. Market concentration, strategic suppliers, and price dispersion

    E-Print Network [OSTI]

    Wade, Chad R.

    2009-05-15T23:59:59.000Z

    locations. In the decentralized market structure, suppliers allocate goods among the local markets without knowing the realized prices (or allocation strategies of the other firms) in the economy. The mechanism by which suppli- ers determine the delivery... that the relative prices of these commodities does not fluctuate around a mean, but are serially correlated or influenced heavily by the exchange...

  18. Advance Booking Programs for Managing Supply, Demand, and Price Risks

    E-Print Network [OSTI]

    Cho, S.-H.; Tang, C. S.

    2010-01-01T23:59:59.000Z

    the manufacturer sets his wholesale price and the retailerto Yadav (2009), the wholesale price for pre-book orderscan be lower but the wholesale price for regular orders can

  19. ORNL/TM-2004/307 Determining Price Reasonableness

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    ORNL/TM-2004/307 Determining Price Reasonableness in Federal ESPCs John A. Shonder and Erica Atkin...................................................................................................... 1 1.2 Importance of Price Reasonableness in ESPCs ................................................................................................. 4 2. FEDERAL REQUIREMENTS FOR DETERMINING FAIR AND REASONABLE PRICING IN ESPCS

  20. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    Gasoline and Crude Oil Prices, 2000-2006 Figure I:Weekly Gasoline and Crude Oil Prices for 2001- 2006 Crudeargue that increases in oil prices may lead to recessions

  1. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    capita terms. When crude oil prices are used, these are theprices are driven by oil prices, moreover, and oil isby ‡uctuations in the crude oil price. The overall mean real

  2. Fact #766: February 11, 2013 Electricity Prices are More Stable...

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

    Fact 766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices All energy prices vary from month to month and year to year. However, when comparing the...

  3. The Role of Demand Response in Default Service Pricing

    E-Print Network [OSTI]

    Barbose, Galen; Goldman, Chuck; Neenan, Bernie

    2006-01-01T23:59:59.000Z

    and Pennsylvania use the PJM real-time spot market price tosince the hourly real-time PJM prices are not known untilfive minutes. The hourly PJM price is a weighted average of

  4. The impact of fuel price volatility on transportation mode choice

    E-Print Network [OSTI]

    Kim, Eun Hie

    2009-01-01T23:59:59.000Z

    In recent years, the price of oil has driven large fluctuations in the price of diesel fuel, which is an important cost component in freight logistics. This thesis explores the impact of fuel price volatility on supply ...

  5. Natural gas pricing in the Northeastern U.S.

    E-Print Network [OSTI]

    Gunnarshaug, Jasmin

    1998-01-01T23:59:59.000Z

    This paper examines natural gas pricing at five citygate locations in the northeastern United States using daily and weekly price series for the years 1994-97. In particular, the effects of the natural gas price at Henry ...

  6. The Weak Tie Between Natural Gas and Oil Prices

    E-Print Network [OSTI]

    Ramberg, David J.

    Several recent studies establish that crude oil and natural gas prices are cointegrated, so that changes in the price of oil appear to translate into changes in the price of natural gas. Yet at times in the past, and very ...

  7. 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.

  8. State Energy Price System: 1982 update

    SciTech Connect (OSTI)

    Imhoff, K.L.; Fang, J.M.

    1984-10-01T23:59:59.000Z

    The State Energy Price System (STEPS) contains estimates of energy prices for ten major fuels (electricity, natural gas, metallurgical coal, steam coal, distillate, motor gasoline, diesel, kerosene/jet fuel, residual fuel, and liquefied petroleum gas), by major end-use sectors (residential, commercial, industrial, transportation, and electric utility), and by state through 1982. Both physical unit prices and prices per million Btu are included in STEPS. Major changes in STEPS data base for 1981 and 1982 are described. The most significant changes in procedures for the updates occur in the residential sector distillate series and the residential sector kerosene series. All physical unit and Btu prices are shown with three significant digits instead of with four significant digits as shown in the original documentation. Details of these and other changes are contained in this report, along with the updated data files. 31 references, 65 tables.

  9. 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.

  10. Accounting for fuel price risk when comparing renewable to gas-fired generation: the role of forward natural gas prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-01-01T23:59:59.000Z

    Profiles of Renewable and Natural Gas Electricity Contracts:Price Risk: Using Forward Natural Gas Prices Instead of Gas2001). “Which way the natural gas price: an attempt to

  11. Electricity Forward Prices: A High-Frequency Empirical Analysis

    E-Print Network [OSTI]

    Longstaff, Francis; Wang, Ashley

    2002-01-01T23:59:59.000Z

    and Optimal Hedging in Electricity Forward Markets. JournalP. 2002. Modelling Electricity Prices: Interna- tionalPricing and Risk Managing Electricity Derivatives. The U.S.

  12. ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis

    E-Print Network [OSTI]

    Longstaff, Francis A; Wang, Ashley

    2002-01-01T23:59:59.000Z

    and Optimal Hedging in Electricity Forward Markets. JournalP. 2002. Modelling Electricity Prices: Interna- tionalPricing and Risk Managing Electricity Derivatives. The U.S.

  13. asymmetric price responses: Topics by E-print Network

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

    has been documented that retail gasoline prices respond more quickly to increases in wholesale price than to decreases. However, there is very little theoretical or empirical...

  14. 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

  15. 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

  16. asymmetric price adjustments: Topics by E-print Network

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

    has been documented that retail gasoline prices respond more quickly to increases in wholesale price than to decreases. However, there is very little theoretical or empirical...

  17. Impact of Ethanol Blending on U.S. Gasoline Prices

    SciTech Connect (OSTI)

    Not Available

    2008-11-01T23:59:59.000Z

    This study assesses the impact of ethanol blending on gasoline prices in the US today and the potential impact of ethanol on gasoline prices at higher blending concentrations.

  18. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1997...

  19. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1996...

  20. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01T23:59:59.000Z

    electricity prices and total available re- newable energies (March 21, 2012) in California, USA [electricity prices and total available renew- able energies (March 21, 2012) in California, USA [

  1. A Multi-period Equilibrium Pricing Model of Weather Derivatives

    E-Print Network [OSTI]

    Lee, Yongheon; Oren, Shmuel S.

    2008-01-01T23:59:59.000Z

    2002). On modelling and pricing weather derivatives. Applied2003). Arbitrage-fee pricing of weather derivatives based onfects and valuation of weather derivatives. The Financial

  2. SSL Pricing and Efficacy Trend Analysis for Utility Program Planning...

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

    Market-Based Programs Technical Information Network SSL Pricing and Efficacy Trend Analysis for Utility Program Planning SSL Pricing and Efficacy Trend Analysis for Utility...

  3. Unwinding the Spin on Variable Speed Drive Air Compressors

    E-Print Network [OSTI]

    Beals, C. E.

    2006-01-01T23:59:59.000Z

    Unwinding the Spin on Variable Speed Drive Air Compressors By Chris E. Beals, President, Air System Management, Inc Over the past several years, the variable speed drive (VSD) compressor has become a frequent choice for new compressor... purchases. The VSD compressor’s popularity is partly due to rising energy prices and its efficiency as a trim compressor. Unfortunately, much of the VSD compressor’s popularity is a result of spin applied by the marketers. For example, sales...

  4. 910 Hambright biomass. Instead, variability in the degree and

    E-Print Network [OSTI]

    Hambright, K. David

    #12;#12;#12;#12;#12;#12;#12;#12;#12;#12;#12;#12;#12;910 Hambright biomass. Instead, variability biomass. Various factors involved in the piscivore-planktivore interaction, such as gape limitation not change (Hunter and Price 1992;Strong 1992). Perhaps this resiliency to subtle external perturbations

  5. An analysis of peak traffic demand at signalized urban intersections

    E-Print Network [OSTI]

    Drew, Donald R

    1961-01-01T23:59:59.000Z

    (3 LANES) 350 705 7:15 725 7:35 7:45 7:55 805 TIME INTERVAL TYPICAL PEAK HOUR 5 MIN. TRAFFIC FLOWS 3 ? LANE FREEWAY 100 90 80 UI Z 3 70 0 PEAK RATES OF FLOW FORT WORTH UNIFORM ARRIVALS 0 ~ o170 EQUIVALENT RATE OF FLOW 60 50 O... {Figure 3), it is seen thai from 7:10 A. M. to 7:45 A. Lvf . the average hourly rate of flow is exceeded. If the mid-points of the five-minute ordinates are connected, a polygon is formed which:ntersects the PHV at the extremities of the peak period...

  6. Mortgage default and student outcomes, the solar home price premium, and the magnitude of housing price declines

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01T23:59:59.000Z

    consumer adoption of solar panels in San Diego,” Unpublishedlog sales price on solar panels 94 Table 2.5: Predictedestimates of log price on solar panels with neighborhood

  7. American Institute of Aeronautics and Astronautics Fluidic Variable Inertia Flywheel

    E-Print Network [OSTI]

    Van de Ven, James D.

    American Institute of Aeronautics and Astronautics 1 Fluidic Variable Inertia Flywheel James D. Van for many applications from hybrid vehicles to off-peak electric power to rotating machinery. A flywheel. This work proposes a novel self-governing fluidic variable inertia flywheel that can maintain a constant

  8. Do Photovoltaic Energy Systems Effect Residential Selling Prices? Results from a California Statewide Investigation.

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    PHOTOVOLTAIC ENERGY SYSTEMS AFFECT RESIDENTIAL SELLING PRICES?PHOTOVOLTAIC ENERGY SYSTEMS AFFECT RESIDENTIAL SELLING PRICES?

  9. An overview of alternative fossil fuel price and carbon regulation scenarios

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2004-01-01T23:59:59.000Z

    historical difficulty in accurately forecasting oil prices.historical difficulty in accurately forecasting future oil prices.

  10. artificial extra peaks: Topics by E-print Network

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

    of Gas Units Peaking Hydro from manufacturer Regional utility IRPs Gas Turbine World (2013 Handbook) Black & Veatch analysis First Page Previous Page 1 2 3 4 5 6 7...

  11. Optimization of Demand Response Through Peak Shaving , D. Craigie

    E-Print Network [OSTI]

    Todd, Michael J.

    Optimization of Demand Response Through Peak Shaving G. Zakeri , D. Craigie , A. Philpott , M. Todd for the demand response of such a consumer. We will establish a monotonicity result that indicates fuel supply

  12. Off peak cooling using an ice storage system

    E-Print Network [OSTI]

    Quinlan, Edward Michael

    1980-01-01T23:59:59.000Z

    The electric utilities in the United States have entered a period of slow growth due to a combination of increased capital costs and a staggering rise in the costs for fuel. In addition to this, the rise in peak power ...

  13. Potential Peak Load Reductions From Residential Energy Efficient Upgrades

    E-Print Network [OSTI]

    Meisegeier, D.; Howes, M.; King, D.; Hall, J.

    2002-01-01T23:59:59.000Z

    the potential peak load reductions from residential energy efficiency upgrades in hot and humid climates. First, a baseline scenario is established. Then, the demand and consumption impacts of individual upgrade measures are assessed. Several of these upgrades...

  14. Application of Thermal Storage, Peak Shaving and Cogeneration for Hospitals

    E-Print Network [OSTI]

    McClure, J. D.; Estes, J. M.; Estes, M. C.

    1987-01-01T23:59:59.000Z

    Energy costs of hospitals can be managed by employing various strategies to control peak electrical demand (KW) while at the same time providing additional security of operation in the event that an equipment failure or a disruption of power from...

  15. artery peak velocity: Topics by E-print Network

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

    The time series analysis of Doppler velocity maps show enhanced power in the sunspot umbra at higher frequencies and in the penumbra at lower frequencies. We find that the peak...

  16. Today's high coal prices: correction or crisis?

    SciTech Connect (OSTI)

    Platt, J. [EPRI (US)

    2005-06-01T23:59:59.000Z

    Eastern spot prices for coal have risen 25% since the start of 2004, reaching their highest levels in more than 25 years. This spike represents the second time in four years that coal prices have risen to more than double their pre-2000 price levels. Years of famine (from a coal producer's point of view) have been replaced by periods of plenty, with increasing consequences for coal's customers. How long will this spike last? This article, based on studies carried out by EPRI, attempts to answer this question. 3 figs., 1 tab.

  17. The Implications of a Gasoline Price Floor for the California Budget and Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    Emissions Surcharge Revenues Oil Price Price elas= -0.1 elasEmissions Surcharge Revenues Oil Price Price elas= -0.1 elasotherwise result if oil prices remain at current levels. . o

  18. Observation of low magnetic field density peaks in helicon plasma

    SciTech Connect (OSTI)

    Barada, Kshitish K.; Chattopadhyay, P. K.; Ghosh, J.; Kumar, Sunil; Saxena, Y. C. [Institute for Plasma Research, Bhat, Gandhinagar 382428 (India)

    2013-04-15T23:59:59.000Z

    Single density peak has been commonly observed in low magnetic field (<100 G) helicon discharges. In this paper, we report the observations of multiple density peaks in low magnetic field (<100 G) helicon discharges produced in the linear helicon plasma device [Barada et al., Rev. Sci. Instrum. 83, 063501 (2012)]. Experiments are carried out using argon gas with m = +1 right helical antenna operating at 13.56 MHz by varying the magnetic field from 0 G to 100 G. The plasma density varies with varying the magnetic field at constant input power and gas pressure and reaches to its peak value at a magnetic field value of {approx}25 G. Another peak of smaller magnitude in density has been observed near 50 G. Measurement of amplitude and phase of the axial component of the wave using magnetic probes for two magnetic field values corresponding to the observed density peaks indicated the existence of radial modes. Measured parallel wave number together with the estimated perpendicular wave number suggests oblique mode propagation of helicon waves along the resonance cone boundary for these magnetic field values. Further, the observations of larger floating potential fluctuations measured with Langmuir probes at those magnetic field values indicate that near resonance cone boundary; these electrostatic fluctuations take energy from helicon wave and dump power to the plasma causing density peaks.

  19. Price changes in the gasoline market: Are Midwestern gasoline prices downward sticky?

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

    This report examines a recurring question about gasoline markets: why, especially in times of high price volatility, do retail gasoline prices seem to rise quickly but fall back more slowly? Do gasoline prices actually rise faster than they fall, or does this just appear to be the case because people tend to pay more attention to prices when they`re rising? This question is more complex than it might appear to be initially, and it has been addressed by numerous analysts in government, academia and industry. The question is very important, because perceived problems with retail gasoline pricing have been used in arguments for government regulation of prices. The phenomenon of prices at different market levels tending to move differently relative to each other depending on direction is known as price asymmetry. This report summarizes the previous work on gasoline price asymmetry and provides a method for testing for asymmetry in a wide variety of situations. The major finding of this paper is that there is some amount of asymmetry and pattern asymmetry, especially at the retail level, in the Midwestern states that are the focus of the analysis. Nevertheless, both the amount asymmetry and pattern asymmetry are relatively small. In addition, much of the pattern asymmetry detected in this and previous studies could be a statistical artifact caused by the time lags between price changes at different points in the gasoline distribution system. In other words, retail gasoline prices do sometimes rise faster than they fall, but this is largely a lagged market response to an upward shock in the underlying wholesale gasoline or crude oil prices, followed by a return toward the previous baseline. After consistent time lags are factored out, most apparent asymmetry disappears.

  20. Edgeworth price cycles in retail gasoline markets

    E-Print Network [OSTI]

    Noel, Michael David, 1971-

    2002-01-01T23:59:59.000Z

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