National Library of Energy BETA

Sample records for variable peak pricing

  1. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01

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

  2. Airport quotas and peak hour pricing : theory and practice

    E-Print Network [OSTI]

    Odoni, Amedeo R.

    1976-01-01

    This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

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

    SciTech Connect (OSTI)

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

    2006-04-06

    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.

  4. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01

    residential peak-load electricity rate structures. Journalefficiency efforts. Keywords: electricity rates, residentialmust suffer higher electricity rates to pay for the bill

  5. 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

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

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01

    load in California. Residential demand is approximately 30%12% reduction in statewide residential demand on a statewidefor residential customers with an aggregate peak demand that

  7. Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff

    SciTech Connect (OSTI)

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

    2005-11-14

    The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

  8. 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

    2006-06-20

    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.

  9. 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

    2007-01-01

    strategies None. Pre-event Walmart Moderate Price ?IncreaseControls:  Janey Kaster  Walmart:  Angela Beehler, Vidhu Bakersfield,  and  Walmart  Fresno) did not participate in 

  10. Testing the gamma-ray burst variability/peak luminosity correlation on a Swift homogeneous sample

    E-Print Network [OSTI]

    D. Rizzuto; C. Guidorzi; P. Romano; S. Covino; S. Campana; M. Capalbi; G. Chincarini; G. Cusumano; D. Fugazza; V. Mangano; A. Moretti; M. Perri; G. Tagliaferri

    2007-04-19

    We test the gamma-ray burst correlation between temporal variability and peak luminosity of the $\\gamma$-ray profile on a homogeneous sample of 36 Swift/BAT GRBs with firm redshift determination. This is the first time that this correlation can be tested on a homogeneous data sample. The correlation is confirmed, as long as the 6 GRBs with low luminosity (tested on low-luminosity GRBs. Our results show that these GRBs are definite outliers.

  11. 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

    2007-01-01

    13.   Linking energy efficiency, load management, and Operations Peak Load Management (Daily) - TOU Savings - Peakof  energy  efficiency,  load  management,  and  demand 

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

    E-Print Network [OSTI]

    Letzler, Robert

    2007-01-01

    The Community Energy Cooperative’s Energy-Smart Pricing PlanPower, the Community Energy Cooperative, and California’s

  13. Accurate R Peak Detection and Advanced Preprocessing of Normal ECG for Heart Rate Variability Analysis

    E-Print Network [OSTI]

    , The Netherlands Abstract Heart rate variability (HRV) analysis is well-known to give information about and allows a reliable HRV analy- sis. 1. Introduction Heart rate variability (HRV) analysis is well minimum and allows a reliable HRV analysis. 2. Methods 2.1. Data acquisition The data for this study

  14. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  15. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  16. Prices

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

    Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  17. Prices

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

    Information AdministrationPetroleum Marketing Annual 2002 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  18. 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

    2011-08-16

    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.

  19. 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

    2011-08-15

    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.

  20. Scaling Distributed Energy Storage for Grid Peak Reduction

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Scaling Distributed Energy Storage for Grid Peak Reduction Aditya Mishra, David Irwin, Prashant efforts have shown how variable rate pricing can incentivize consumers to use energy storage to cut to describe the issues with incentivizing energy storage us- ing variable rates. We then propose a simple way

  1. Optimal Intercity Transportation Services with Heterogeneous Demand and Variable Fuel Price

    E-Print Network [OSTI]

    Ryerson, Megan S.

    2010-01-01

    5 Figure 1.2 U.S. jet fuel price (dollars pershort haul travel and U.S. jet fuel price paid by airlines (1.2 Quarter/Year U.S. jet fuel price (dollars per gallon).

  2. Optimal Intercity Transportation Services with Heterogeneous Demand and Variable Fuel Price

    E-Print Network [OSTI]

    Ryerson, Megan Smirti

    2010-01-01

    5 Figure 1.2 U.S. jet fuel price (dollars pershort haul travel and U.S. jet fuel price paid by airlines (Year Figure 1.2 U.S. jet fuel price (dollars per gallon).

  3. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousand CubicThousandCubic53.6 53.3 49.368.7

  4. 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

    1984-01-01

    Station , Texas (Blank P~le fa 0rigiIlat BuDetiDJ "/ ' k ? Econolllic Illlpacts of Changes in United States Rice Price Variability on Market Efficiency, Marketing Margin, and Producer Viability W. R. GRANT, agricultural economist National... recorded. The sharp rise in prices triggered a suspension of domestic marketing quotas for P R I C E DOL/CWT 32.5 - 30.0 - 27.5 25.0 - 22.5 - 20.0 - 17.5 - 15.0 - 12.5 - 10.0 - 7.5 - Texas Mill Thailand Mill , , , , , , the 1974...

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01

    that pre-cool, rebound, or otherwise shift energy use to theexhibit almost no rebound and save some energy on DR days,Shed, Rebound, Daily Peak Demand, and Daily Energy (which we

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

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01

    that pre-cool, rebound, or otherwise shift energy use to theexhibit almost no rebound and save some energy on DR days,kW) Rebound (kW) Daily Peak Demand (kW) Daily Energy (kWh) a

  7. Optimal Intercity Transportation Services with Heterogeneous Demand and Variable Fuel Price

    E-Print Network [OSTI]

    Ryerson, Megan Smirti

    2010-01-01

    Estimate Error A4.3 High Speed Rail Variable Constantcycle assessment of high-speed rail: the case of California.Economic Analysis of High Speed Rail in Europe. Fundación

  8. Optimal Intercity Transportation Services with Heterogeneous Demand and Variable Fuel Price

    E-Print Network [OSTI]

    Ryerson, Megan S.

    2010-01-01

    Economic Analysis of High Speed Rail in Europe. Fundacióncycle assessment of high-speed rail: the case of California.Estimate Error A4.3 High Speed Rail Variable Constant

  9. 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]

    ) is concerned with variable electricity tariffs, where the price of electricity changes over time depending on the demand. It is important to large scale electricity consumers in manufacturing and service industries tasks, the resource limit constraints, and the manpower. The goal of this project is to implement

  10. Monetary policy and relative farm prices

    E-Print Network [OSTI]

    Stamoulis, Kostas G.; Chalfant, James A.; Rausser, Gordon C.

    1986-01-01

    POLICY AND RELATIVE FAru·' PRICES by Kostas G. Stamoulis,POLICY fu~ RELATIVE FAR~ PRICES by Kostas G. Stamou1is,variables such as the price level to changes in monetary

  11. 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

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

    A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price,oren}@ieor.berkeley.edu Abstract-- The electricity price duration curve (EPDC) repre- sents the probability distribution function of the electricity price considered as a random variable. The price uncertainty comes both from the demand side

  13. Essays On Hybrid Bundle Pricing 

    E-Print Network [OSTI]

    Meyer, Jeffrey Dean

    2011-10-21

    model of optimal pricing for hybrid bundles by a monopolist. My results show that an increase in quality variability of the service is generally associated with a higher optimal hybrid bundle price and a lower optimal price of the good, but lower overall...

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

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

    the validity of the following statement: "the coincidence of high electric energy prices and peak solar electric photovoltaic (PV) output can improve the economics of PV...

  15. Introduction Risk associated with an adverse price

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Introduction Risk associated with an adverse price change (price risk) is a normal part commodities are sold suggests price risk is an unavoidable part of being involved in the industry. Producers that have significant price variability. Recent domestic farm policy changes and trade barrier reductions

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

    E-Print Network [OSTI]

    O'Donnell, Tom

    1 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 $60 $80 1970 1975 1980 1985 1990 1995 2000 2005 Real Price ($2005) #12;2 Hubbert's Curve (Peak Oil

  17. Scalable Scheduling of Building Control Systems for Peak Demand Reduction

    E-Print Network [OSTI]

    Pappas, George J.

    price for their maximum demand to discourage their energy usage in peak load conditions. In buildings of Pennsylvania {nghiem, mbehl, rahulm, pappasg}@seas.upenn.edu Abstract-- In large energy systems, peak demand might cause severe issues such as service disruption and high cost of energy production and distribution

  18. Pricing Kernel Specification for User Cost of Monetary Assets

    E-Print Network [OSTI]

    Zhou, Wei

    2007-04-27

    This paper studies the nonlinear asset pricing kernel approximation by using orthonormal polynomials of state variables in which the pricing kernel specification is restricted by preference theory. We approximate the true asset pricing kernel...

  19. Cheese Prices 

    E-Print Network [OSTI]

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

    2003-08-25

    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...

  20. Milk Pricing 

    E-Print Network [OSTI]

    Anderson, David P.; Haigh, Michael; Stockton, Matthew; Schwart Jr., Robert B.

    2001-09-10

    This publication discusses the federal orders that govern the marketing of milk. The production location and form of the milk product affect the way it is priced. The different classes of milk and their prices are explained in detail....

  1. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15

    A contract with K-class pricing divides a large set of goods or services into K classes and assigns a single price to any element of a class. Class pricing can be efficient when several different versions may be traded and ...

  2. Volatility and commodity price dynamics

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2001-01-01

    Commodity prices tend to be volatile, and volatility itself varies over time. changes in volatility can affect market variables by directly affecting the marginal value of storage, and by affecting a component of the total ...

  3. The Impact of Biomass Feedstock Supply Variability on the Delivered Price to a Biorefinery in the Peace River Region of Alberta, Canada

    SciTech Connect (OSTI)

    Stephen, Jamie [University of British Columbia, Vancouver; Sokhansanj, Shahabaddine [ORNL; Bi, X.T. [University of British Columbia, Vancouver; Sowlati, T. [University of British Columbia, Vancouver; Kloeck, T. [Alberta Agriculture; Townley-Smith, Lawrence [AAFC; Stumborg, Mark [AAFC

    2010-01-01

    Agricultural residue feedstock availability in a given region can vary significantly over the 20 25 year lifetime of a biorefinery. Since delivered price of biomass feedstock to a biorefinery is related to the distance travelled and equipment optimization, and transportation distance increases as productivity decreases, productivity is a primary determinant of feedstock price. Using the Integrated Biomass Supply Analysis and Logistics (IBSAL) modeling environment and a standard round bale harvest and delivery scenario, harvest and delivery price were modelled for minimum, average, and maximum yields at four potential biorefinery sites in the Peace River region of Alberta, Canada. Biorefinery capacities ranged from 50,000 to 500,000 tonnes per year. Delivery cost is a linear function of transportation distance and can be combined with a polynomial harvest function to create a generalized delivered cost function for agricultural residues. The range in delivered cost is substantial and is an important consideration for the operating costs of a biorefinery.

  4. Dynamic interactions between electricity prices and the regional economy 

    E-Print Network [OSTI]

    Bethapudi, Daniel Naveen

    2005-08-29

    In this thesis we study characterize the dynamic relationships among two electricity price variables (residential and commercial) and six regional economic variables in order to examine each individual variable??s role in regional economic activity...

  5. Desert Peak EGS Project

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Danielthrough theKDesert Peak EGS Project DOE Award:

  6. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01

    Small Regular Price Changes . . . . . . . . . . . . . . .4 The Cyclicality of Effective Prices2.3 Wholesale Price vs. Retail

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

    SciTech Connect (OSTI)

    Hirsch, R.L.; Bezdek, Roger; Wendling, Robert

    2005-02-01

    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.

  8. 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

    2006-01-01

    Jose Espudo C&C Building Automation: Mark Johnson and ThomasAssistance from Building Automation and Controls CompaniesSyserco, Yamas and C&C Building Automation. LBNL met with

  9. 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

    2006-01-01

    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

  10. 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

    2006-01-01

    Development for Demand Response Calculation - Findings andStrategies Linking Demand Response and Energy Efficiency.and Communications for Demand Response and Energy Efficiency

  11. 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

    2006-01-01

    No new energy management control system (EMCS) hardware orprogram. Use an energy management control system (EMCS) oror hardwire energy management control systems to curtail

  12. Flexible procurement strategies smooth price spikes

    SciTech Connect (OSTI)

    Gaalaas, T. [Pace Global Energy Services LLC (United States)

    2006-12-15

    Pace Global Energy Services has been predicting for some time that the recent peaks in spot coal prices were not sustainable and this has been borne out. The latest available data on coal supply and demand fundamental suggest that spot coal prices may decline even more rapidly than previously forecast. Price volatility over the last five years suggests that a flexible procurement strategy that is well adapted to volatile market conditions may be just as important as knowledge of market fundamentals. 3 figs.

  13. Estimating Coke and Pepsi's Price and Advertising Strategies Amos Golan*

    E-Print Network [OSTI]

    Carlini, David

    Estimating Coke and Pepsi's Price and Advertising Strategies Amos Golan* Larry S. Karp** Jeffrey M strategies in prices and advertising for Coca-Cola and Pepsi-Cola. Separate strategies for each firm variables are prices and advertising. We divide each firm's continuous price-advertising action space

  14. Firing Excess Refinery Butane in Peaking Gas Turbines 

    E-Print Network [OSTI]

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

    1989-01-01

    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...

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

    ScienceCinema (OSTI)

    Piette, Mary Ann

    2011-04-28

    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.

  16. An Analysis of the Price Elasticity of Demand for Household Appliances

    E-Print Network [OSTI]

    Dale, Larry

    2008-01-01

    and Appliance Price………………………………6 LIST OF TABLES Table 1.1estimates in this table. 7 Average brand price elasticityTable 2.2 Appliance Refrigerators Clothes Washers Dishwashers Economic Variables Price

  17. Peak mass and dynamical friction

    E-Print Network [OSTI]

    A. Del Popolo; M. Gambera

    1995-06-09

    We show how the results given by several authors relatively to the mass of a density peak are changed when small scale substructure induced by dynamical friction are taken into account. The peak mass obtained is compared to the result of Peacock \\& Heavens (1990) and to the peak mass when dynamical friction is absent to show how these effects conspire to reduce the mass accreted by the peak.

  18. 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 ...

  19. 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

  20. 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"...

  1. Data Center Demand Response: Avoiding the Coincident Peak via Workload Shifting and Local Generation

    E-Print Network [OSTI]

    Wierman, Adam

    Data Center Demand Response: Avoiding the Coincident Peak via Workload Shifting and Local facilities. In this extended abstract we briefly de- scribe recent work in [1] on two demand response schemes Keywords Demand response, coincident peak pricing, data center, work- load shifting, online algorithm 1

  2. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    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

  3. Pricing Structure and Tools for Profitable Load-Shifting by Aggregator...

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

    via incentive pricing. Also, a complementary visualization technique for assessing demand response plans and peak load shifts. Description As power grids struggle to keep up...

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

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01

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

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

    E-Print Network [OSTI]

    Wolak, Frank A.

    2007-01-01

    The consumption reductions paid rebates during CPP days area CPP rate with a rebate mechanism as the default rate forthese customers received a rebate of 35 cents/KWh for the

  6. The Effects of the Peak-Peak Correlation on the Peak Model of Hierarchical Clustering

    E-Print Network [OSTI]

    A. Manrique; A. Raig; J. M. Solanes; G. Gonzalez-Casado; P. Stein; E. Salvador-Sole

    1997-12-05

    In two previous papers a semi-analytical model was presented for the hierarchical clustering of halos via gravitational instability from peaks in a random Gaussian field of density fluctuations. This model is better founded than the extended Press-Schechter model, which is known to agree with numerical simulations and to make similar predictions. The specific merger rate, however, shows a significant departure at intermediate captured masses. The origin of this was suspected as being the rather crude approximation used for the density of nested peaks. Here, we seek to verify this suspicion by implementing a more accurate expression for the latter quantity which accounts for the correlation among peaks. We confirm that the inclusion of the peak-peak correlation improves the specific merger rate, while the good behavior of the remaining quantities is preserved.

  7. Retrospective Evaluation of Appliance Price Trends

    SciTech Connect (OSTI)

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

    2008-07-20

    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.

  8. EXPLAINING THE PRICE OF VOLUNTARY CARBON OFFSETS MARC N. CONTE

    E-Print Network [OSTI]

    Kotchen, Matthew J.

    EXPLAINING THE PRICE OF VOLUNTARY CARBON OFFSETS MARC N. CONTE Stanford University, Stanford, CA matthew.kotchen@yale.edu This paper identifies factors that explain the large variability in the price of voluntary carbon offsets. We estimate hedonic price functions using a variety of provider- and project

  9. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

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

    2010-08-02

    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.

  10. How regulators should use natural gas price forecasts

    SciTech Connect (OSTI)

    Costello, Ken

    2010-08-15

    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. 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

    1982-01-01

    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 ...

  12. Peak finding using biorthogonal wavelets

    SciTech Connect (OSTI)

    Tan, C.Y.

    2000-02-01

    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.

  13. 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 turbines. This second effect is the primary use of the fuel price forecast for the Council's Fifth Power

  14. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 3 May/June 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  15. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 4 July/August 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  16. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 3 May/June 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  17. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 5 September/October 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  18. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 4 July/August 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  19. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 6 November/December 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  20. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 5 September/October 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  1. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 1 January/February 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  2. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 2 March/April 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  3. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 4 July/August 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  4. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 3 May/June 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  5. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 6 November/December 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  6. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 2 March/April 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  7. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 4 July/August 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  8. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 21 NO. 5 September/October 2003 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  9. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 1 January/February 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  10. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 1 January/February 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  11. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 1 January/February 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  12. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 2 March/April 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  13. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 21 NO. 6 November/December 2003 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  14. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 6 November/December 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  15. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 3 May/June 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  16. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 5 September/October 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  17. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 2 March/April 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  18. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

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

    1980-02-01

    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.

  19. Steam Pricing 

    E-Print Network [OSTI]

    Jones, K. C.

    1986-01-01

    stream_source_info ESL-IE-86-06-19.pdf.txt stream_content_type text/plain stream_size 30463 Content-Encoding ISO-8859-1 stream_name ESL-IE-86-06-19.pdf.txt Content-Type text/plain; charset=ISO-8859-1 STEAM PRICING... Kenneth C. Jones Shell Oil Company Houston, Texas ABSTRACT Steam is used in many plants to furnish both heat and mechanical energy. It is typically produced in several fired boilers which may operate at different pressures and with different...

  20. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),the Predictive Accuracy of Crude Oil Futures Prices,” EnergyFigure 3. Price of crude oil contract maturing December of

  1. Overshooting of agricultural prices

    E-Print Network [OSTI]

    Stamoulis, Kostas G.; Rausser, Gordon C.

    1987-01-01

    Rotenberg, Julio J. , "Sticky Prices in the United States,"Monetary Policy on United States Agriculture. A Fix-Price,Flex-Price Approach," Unpublished Ph.D. Disser- tation,

  2. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

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

    SciTech Connect (OSTI)

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

    2012-08-01

    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.

  4. 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.

  5. 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)

    2010-01-01

    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 ...

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

    E-Print Network [OSTI]

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

    2006-01-01

    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 ...

  7. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES NOVEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE retail prices for selected canned fish items. The retail prices as contained herein for several types. Department of Labor in order to provide information on price levels in different cities. This issue contains

  8. CANNED FISH RETAIL .PRICES,

    E-Print Network [OSTI]

    CANNED FISH RETAIL .PRICES, OC1rOIBrE~ UNITED STATES DEPARTMENT OF THE INT...n.~""n FISH retail prices for selected canned fish items. The retail prices as contained herein for several types. Department of Labor in order to provide information on price levels in different cities. This issue contains

  9. Three Essays on Retail Price Dynamics

    E-Print Network [OSTI]

    Elberg, Andres

    2010-01-01

    of Reference Prices . . . . . . . . . . . . . . . . . . . .2.4.5 Reference Prices andChain-Level Prices . . . . . . . . . . . . . .

  10. Optimization of Demand Response Through Peak Shaving

    E-Print Network [OSTI]

    2013-06-19

    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 ...

  11. Oil prices spike to over barreland price

    E-Print Network [OSTI]

    Oil prices spike to over $145/ barreland price of electricity exceeds $0.50/kWh in U.S. Virgin installs waste heat recovery plant, adding19 MWofpower withoutburningasingledropof additionaloil VIEO Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDIN

  12. The Minimum Price Contract 

    E-Print Network [OSTI]

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

    2008-10-17

    A minimum price contract is one of many tools a marketer may use to better manage price and production risk while trying to achieve financial goals and objectives. This publication discusses the advantages and disadvantages involved...

  13. Grid Pricing of Fed Cattle 

    E-Print Network [OSTI]

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

    2009-03-02

    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....

  14. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01

    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 ...

  15. 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

    2008-01-01

    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

  16. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED 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 with the Bureau of Labor Statistics to obtain a v e rage retail prices for selected canned fish items. The retail

  17. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES DECEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES DECEMBER 1958 Prepared in the Bureau of Commercial Fisheries Branch canned fish items. The retail prices as contained herein for s veral types of canned tuna, canned salmon

  18. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED 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 Fisheries has contracted with the Bureau of Labo r Statistics to obtain average retail prices for selected

  19. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES JA.NUARY 11959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES JANUARY 195 9 Prepared in the Bureau of Commercial Fisheries Branch Fisheries has contracted with the Bureau of Labor Statistics to obtain average retail prices for se lected

  20. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES MARCH 1959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES MARCH 1959 Prepared in the Bureau of Commercial Fisheries Branch canned fish items. The retail prices as contain d h rein for s veral types of canned tuna, canned salmon

  1. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

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

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

    E-Print Network [OSTI]

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

    2013-10-08

    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 ...

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

    Open Energy Info (EERE)

    Peak 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:...

  4. Dynamic online optimization of a house heating system in a fluctuating energy price

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Dynamic online optimization of a house heating system in a fluctuating energy price scenario in this problem is the time- varying nature of the main disturbances, which are the energy price and outdoor that there is a great economical gain in using dynamic optimization for the case of variable energy price. 1

  5. Op%mal Scheduling of Combined Heat and Power (CHP) Plants1 under Time-sensi%ve Electricity Prices

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    -sensi%ve Electricity Prices Summary In this case study, a CHP plant increases its profit accounts for variability in electricity prices. Sumit Mitra, Center for Advanced. Ignacio E. Grossmann Joint work with Lige Sun, RWTH Aachen University, Germany 1

  6. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

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

    2012-07-26

    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.

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

    SciTech Connect (OSTI)

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

    2010-06-02

    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.

  8. Can Merchant Interconnectors Deliver Lower and More Stable Prices? The Case of NorNed

    E-Print Network [OSTI]

    Parail, V.

    full list of variables and their descriptions is given in Appendix B. 4 Hourly log Amsterdam Power Exchange (APX) and log South Norway day ahead electricity prices are the dependent variables in the analysis presented here and their properties...

  9. Long run changes in driver behavior due to variable tolls 

    E-Print Network [OSTI]

    Konduru, Karun K.

    2004-09-30

    As many variable pricing projects are still in the implementation stage, long-run driver responses to the variable tolls are largely unknown. This research examined the long-run changes in driver behavior in an existing ...

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

    E-Print Network [OSTI]

    Kharecha, P A

    2007-01-01

    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.

  11. Optimization of Demand Response Through Peak Shaving

    E-Print Network [OSTI]

    Jul 5, 2013 ... Optimization of Demand Response Through Peak Shaving. G. Zakeri(g.zakeri *** at*** auckland.ac.nz) D. Craigie(David.Craigie ***at*** ...

  12. Appendix A: Fuel Price Forecast Introduction..................................................................................................................................... 1

    E-Print Network [OSTI]

    Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts ............................................................................................................................ 5 U.S. Natural Gas Commodity Prices

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

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

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

  14. 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/Fuel Price Travel Cost Macro-Economy Passenger: VMT or VKT Freight: Ton-Mile or Ton-KM Passenger Mode-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

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

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Higher Prices from Entry: Pricing of Brand-Name Drugs Jeffrey M. Perloffa Valerie Y. Suslowb,* Paul product, the prices of existing and new products may be higher than the incumbent's original price due to a better match between consumers and products. In other words, the average price in the market can rise

  16. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01

    the higher the product cost and retail price. Table 3.change and appliance price Room air conditioners Small (price data to clarify price

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

    SciTech Connect (OSTI)

    Maldonado, Delis

    2012-06-01

    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.

  18. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    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

  19. Crude Oil Prices

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

    Petroleum Marketing Annual 2001 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  20. Crude Oil Prices

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

    Petroleum Marketing Annual 2000 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  1. Crude Oil Prices

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

    Petroleum Marketing Annual 1999 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  2. Crude Oil Prices

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

    Petroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  3. Crude Oil Prices

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

    Petroleum Marketing Annual 2002 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II (Continued) PAD District...

  4. Pricing an Annuity

    E-Print Network [OSTI]

    Pricing an Annuity. Central Indiana Life Insurance Company's customers can use a portion of the funds accumulated in their 401(k) retirement plan to buy an ...

  5. Pricing an Annuity

    E-Print Network [OSTI]

    2003-09-02

    Pricing an Annuity. Central Indiana Life Insurance Company 's customers can use a portion of the funds accumulated in their 401(k) retirement plan to buy an ...

  6. Software Price List Windows Applications

    E-Print Network [OSTI]

    Software Price List Windows Applications Software cannot be returned. Also note that the University support on campus, please go to www.unh.edu/it Number Item Price Number Item Price Prices are subject Item Price Only USNH Departments may purchase software below. A license does not include media

  7. Bottleneck Links, Variable Demand, and the Tragedy of the Commons

    E-Print Network [OSTI]

    Roughgarden, Tim

    Bottleneck Links, Variable Demand, and the Tragedy of the Commons Richard Cole Yevgeniy Dodis Tim of anarchy with endogenous traffic rates (and under any p path cost) is no larger than that in fixed-demand; shortest-path protocols 1 Introduction 1.1 The Price of Anarchy and Variable Demand The price of anarchy

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06

    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.

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19

    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.

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

    SciTech Connect (OSTI)

    Koomey, Jonathan; Brown, Richard E.

    2002-09-01

    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.

  11. Modeling and Forecasting Electric Daily Peak Loads

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    for the same data. Two methods are described for forecasting daily peak loads up to one week ahead through, including generator unit commitment, hydro-thermal coordination, short-term maintenance, fuel allocation forecasting accuracies. STLF forecasting covers the daily peak load, total daily energy, and daily load curve

  12. 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

  13. Cost Optimal Operation of Thermal Energy Storage System with Real-Time Prices

    E-Print Network [OSTI]

    ) problem where future thermal demand and electricity prices are predicted. The proposed method uses show that significant cost reduction can be obtained. I. INTRODUCTION Cutting peak electricity demand for the next day is defined taking account of thermal demand for the TES system and electricity prices

  14. The Boson peak in supercooled water

    E-Print Network [OSTI]

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

    2013-05-19

    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.

  15. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01

    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 ...

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

    Reports and Publications (EIA)

    2006-01-01

    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.

  17. A perspective on the CMB acoustic peak

    E-Print Network [OSTI]

    T. A. Marriage

    2002-03-11

    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.

  18. LNG production for peak shaving operations

    SciTech Connect (OSTI)

    Price, B.C.

    1999-07-01

    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.

  19. QER- Comment of Cloud Peak Energy Inc

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13

    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.

  1. Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data Centers

    E-Print Network [OSTI]

    Rahman, A.K.M. Ashikur

    Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed a major part of their running costs. Modern electric power grid provides a feasible way to dynamically and efficiently manage the electricity cost of distributed IDCs based on the Locational Marginal Pricing (LMP

  2. Measured Peak Equipment Loads in Laboratories

    SciTech Connect (OSTI)

    Mathew, Paul A.

    2007-09-12

    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.

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

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Higher Prices from Entry: Pricing of Brand-Name Drugs Jeffrey M. Perloff* Valerie Y. Suslow** Paul and starts selling a spatially-differentiated product, the prices of existing products may rise due to a better match between consumers and products. Entry may have three unusual effects. First, the new price

  4. Electricity Prices in a Competitive Environment: Marginal Cost Pricing

    Reports and Publications (EIA)

    1997-01-01

    Presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated cost-of-service pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity of electricity suppliers?

  5. WIND ENERGY AND NEGATIVE PRICING

    E-Print Network [OSTI]

    McCalley, James D.

    at negative prices #12;Wind power and negative prices · Wind power production is related to electricity power integration · Negative prices are "market distortions" that need to be addressed · "PTC aggravatesWIND ENERGY AND NEGATIVE PRICING Is Production Tax Credit to Blame? Yu Wang Iowa State University

  6. Brand the Pricing: Critical Critique 

    E-Print Network [OSTI]

    Alam Kazmi, Syed Hasnain

    2015-01-01

    impact. Management decisions to change prices translate intoto management decision making will translate the change

  7. Competitive Electricity Prices: An Update

    Reports and Publications (EIA)

    1998-01-01

    Illustrates a third impact of the move to competitive generation pricing -- the narrowing of the range of prices across regions of the country. This feature article updates information in Electricity Prices in a Competitive Environment: Marginal Cost Pricing of Generation Services and Financial Status of Electric Utilities.

  8. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    CANNED FI H RETAIL PRICE UNITED STATES DEPARTMENT OF THE I TERI R FISH AND WILDLIFE SERVICE BUREAU to obtain average retail prices for selected canned fish items. The retail prices as contained herein by the U. S . Department of Labor in order to provide information on price levels in different cities

  9. Crude Oil Prices

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

    19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  10. Crude Oil Prices

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

    20.86 20.67 20.47 20.24 20.32 19.57 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  11. Term Pricing Project

    E-Print Network [OSTI]

    Jeff Beckley

    2015-10-29

    Term Pricing Project. Your job is to reprice Purdue Life's 20 Year Term. You are to write a one page memo or report summarizing your work. The report should ...

  12. 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

    2007-01-01

    and Mark Lott  C&C Building Automation:   Mark Johnson and Commission meetings  Building Automation 2006 Conference (see Appendix  A).  C&C Building Automation 9  was the firm 

  13. 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

    2007-01-01

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

  14. 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

    2006-01-01

    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

  15. 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

    2006-01-01

    Study on Energy Efficiency in Buildings. Pacific Grove, CA.Study on Energy Efficiency in Buildings. Pacific Grove, CA.Study on Energy Efficiency in Buildings, Pacific Grove, CA,

  16. 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

    2007-01-01

    °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):

  17. 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

    2007-01-01

    Techniques  for  Demand  Response.   Lawrence  Berkeley Communications  for  Demand Response and Energy Efficiency for  Automated  Demand  Response  Demonstration.   2004.  

  18. 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

    2007-01-01

    to changes in our energy management  system this year, and REPORT   energy  management  control  systems  (EMCS) 2  Use an energy management control system (EMCS), energy 

  19. The PEAK experience in South Carolina

    SciTech Connect (OSTI)

    1998-11-01

    The PEAK Institute was developed to provide a linkage for formal (schoolteachers) and nonformal educators (extension agents) with agricultural scientists of Clemson University`s South Carolina Agricultural Experiment Station System. The goal of the Institute was to enable teams of educators and researchers to develop and provide PEAK science and math learning experiences related to relevant agricultural and environmental issues of local communities for both classroom and 4-H Club experiences. The Peak Institute was conducted through a twenty day residential Institute held in June for middle school and high school teachers who were teamed with an Extension agent from their community. These educators participated in hands-on, minds-on sessions conducted by agricultural researchers and Clemson University Cooperative Extension specialists. Participants were given the opportunity to see frontier science being conducted by scientists from a variety of agricultural laboratories.

  20. 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

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

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

    6: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices Fact 766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices All energy prices...

  2. 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 ...

  3. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01

    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

  4. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15

    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)

  5. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01

    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.

  6. Washington Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total Residential Deliveries included in Prices 100.0 100.0

  7. Diesel 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel pricesDiesel

  8. Diesel 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDiesel prices

  9. Diesel prices slightly 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDiesel prices

  10. 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)

    2013-05-15

    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.

  11. Desert Peak EGS Project | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Danielthrough theKDesert Peak EGS Project DOE

  12. Peak power tracking for a solar buck charger

    E-Print Network [OSTI]

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

    2010-01-01

    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 ...

  13. An alternative interpretation for cosmic ray peaks

    E-Print Network [OSTI]

    Kim, Doojin

    2015-01-01

    We propose an alternative mechanism based upon dark matter (DM) interpretation for anomalous peak signatures in cosmic ray measurements, assuming an extended dark sector with two DM species. This is contrasted with previous effort to explain various line-like cosmic-ray excesses in the context of DM models where the relevant DM candidate directly annihilates into Standard Model (SM) particles. The heavier DM is assumed to annihilate to an on-shell intermediate state. As the simplest choice, it decays directly into the lighter DM along with an unstable particle which in turn decays to a pair of SM states corresponding to the interesting cosmic anomaly. We show that a sharp continuum energy peak can be readily generated under the proposed DM scenario, depending on dark sector particle mass spectra. Remarkably, such a peak is robustly identified as half the mass of the unstable particle. Furthermore, other underlying mass parameters are analytically related to the shape of energy spectrum. We apply this idea to ...

  14. The effects of consumer information and cost-sharing on healthcare prices

    E-Print Network [OSTI]

    Whaley, Christopher

    2015-01-01

    1.2.3 Price Transparency . . . . . . . . . .Provider Prices . . . . . . . . . . . . . . . . . . . . . .Physician Price Responses to Price

  15. Essays on pricing under uncertainty 

    E-Print Network [OSTI]

    Escobari Urday, Diego Alfonso

    2008-10-10

    This dissertation analyzes pricing under uncertainty focusing on the U.S. airline industry. It sets to test theories of price dispersion driven by uncertainty in the demand by taking advantage of very detailed information about the dynamics...

  16. 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 ...

  17. Buyout prices in online auctions

    E-Print Network [OSTI]

    Gupta, Shobhit

    2006-01-01

    Buyout options allow bidders to instantly purchase at a specified price an item listed for sale through an online auction. A temporary buyout option disappears once a regular bid above the reserve price is made, while a ...

  18. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2004-11-30

    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 ...

  19. Best Buys and Unit Pricing 

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02

    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....

  20. Price Philanthropies Ocean Science Education: Aquarium

    E-Print Network [OSTI]

    Hampton, Randy

    ! ! ! ! ! Price Philanthropies Ocean Science Education: Aquarium Express Outreach Who: Students by The Price Philanthropies Ocean Science Fund and participate in our Aquarium Express Outreach Programs! What education, Price Philanthropies, led by Robert and Allison Price, joined supporters of Birch Aquarium

  1. Driving Smart Growth: Electric Vehicle Adoption and OffPeak Electricity Rates

    E-Print Network [OSTI]

    Holsinger, Kent

    Driving Smart Growth: Electric Vehicle Adoption and OffPeak Electricity Rates Peter with either flat or variable electricity rates. Michigan's Detroit Edison Energy (DTE) early experience recharging units, free parking commensurate with lower emissions, and offpeak or flat electricity rates

  2. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    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

  3. Ethanol's Effect on Grain Supply and Prices

    SciTech Connect (OSTI)

    2008-01-01

    This document provides graphical information about ethanol's effect on grain supply and prices, uses of corn, and grain price trends.

  4. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    months, with national unemployment at 25 year highs, retail U.S. gasoline prices have risen 40 percent1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support

  5. Pine pulpwood prices reached re-

    E-Print Network [OSTI]

    Pine pulpwood prices reached re- cord highs due to strong pulp and paper demand and lumber production curtailment. In contrast, sawlog prices continued their downward movement in November/December statewide av- erage pine sawlog prices decreased to $36.72/ton, a 4.3% drop for the period and a 14.1% drop

  6. 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)

    2012-07-01

    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)

  7. First symposium on safety and standardisation of ultrasound in obstetrics 0 G. KOSSOFFand S. B. BARNETT 101 peak positive and peak negative acoustic pressure

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    . BARNETT 101 peak positive and peak negative acoustic pressure (P' and a-) location of both of the peak

  8. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio1975) | Open EnergyPhoenicia,Creek,Pilgrim Hot SpringsPillow,Peak

  9. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation, searchsource HistoryCharleston,Peak Utility Jump to:

  10. 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

  11. Why did British Electricity Prices Fall after 1998?

    E-Print Network [OSTI]

    Evans, Joanne; Green, Richard J.

    2004-06-16

    index, at the time that the rules changed. Using a static model of the market for a non-storable commodity, we would not expect a spillover from a future change in market rules to current prices. On this basis, a dummy variable set to 1 from April...

  12. Electronic Supplement Appendix A. Implementation of the proposed pricing mechanism

    E-Print Network [OSTI]

    Tsitsiklis, John

    resource and an ancillary energy resource. We assume that the forecast demand is met by the primary energy-time prices and various factors such as load forecast, weather predictions, and expected supply/demand from the forecast demand, {wt}T t=1, are independent random variables uniformly distributed on [-, ].16

  13. Delivery and Hedging Delivery ties the futures price to the spot price.

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Delivery and Hedging · Delivery ties the futures price to the spot price. · On the delivery date, the settlement price of the futures contract is determined by the spot price. · Hence, when the delivery period is reached, the futures price should be very close to the spot price. · Changes in futures prices usually

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

    SciTech Connect (OSTI)

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

    2013-12-01

    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.

  15. Price Discovery in Time and Space: The Course of Condominium Prices in Singapore

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2007-01-01

    Method for Real Estate Price Index Construction,” Journal ofAutocorrelation in House Prices,” Journal of Real Estate1997), “Quotes, Order Flow, and Price Discovery,” Journal of

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    approach to evaluating price risk would be to use suchthe base-case natural gas price forecast, but to alsorange of different plausible price projections, using either

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

    E-Print Network [OSTI]

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

    2009-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    range of different plausible price projections, using eitherthat renewables can provide price certainty over even longerof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    Comparison of AEO 2008 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01

    Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

  4. Gamow peak approximation near strong resonances

    E-Print Network [OSTI]

    Sachie Kimura; Aldo Bonasera

    2013-05-09

    We discuss the most effective energy range for charged particle induced reactions in a plasma environment at a given plasma temperature. The correspondence between the plasma temperature and the most effective energy should be modified from the one given by the Gamow peak energy, in the presence of a significant incident-energy dependence in the astrophysical S-factor as in the case of resonant reactions. The suggested modification of the effective energy range is important not only in thermonuclear reactions at high temperature in the stellar environment, e.g., in advanced burning stages of massive stars and in explosive stellar environment, as it has been already claimed, but also in the application of the nuclear reactions driven by ultra-intense laser pulse irradiations.

  5. Predictability of price movements in deregulated electricity markets

    E-Print Network [OSTI]

    Uritskaya, Olga Y

    2015-01-01

    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...

  6. Regional variations in US residential sector fuel prices: implications for development of building energy performance standards

    SciTech Connect (OSTI)

    Nieves, L.A.; Tawil, J.J.; Secrest, T.J.

    1981-03-01

    The Notice of Proposed Rulemaking for Energy Performance Standards for New Buildings presented life-cycle-cost based energy budgets for single-family detached residences. These energy budgets varied with regional climatic conditions but were all based on projections of national average prices for gas, oil and electricity. The Notice of Proposed Rulemaking indicated that further analysis of the appropriateness of various price measures for use in setting the Standards was under way. This part of that ongoing analysis addresses the availability of fuel price projections, the variation in fuel prices and escalation rates across the US and the effects of aggregating city price data to the state, Region, or national level. The study only provides a portion of the information required to identify the best price aggregation level for developing of the standards. The research addresses some of the economic efficiency considerations necessary for design of a standard that affects heterogeneous regions. The first section discusses the effects of price variation among and within regions on the efficiency of resource allocation when a standard is imposed. Some evidence of the extreme variability in fuel prices across the US is presented. In the second section, time series, cross-sectional fuel price data are statistically analyzed to determine the similarity in mean fuel prices and price escalation rates when the data are treated at increasing levels of aggregation. The findings of this analysis are reported in the third section, while the appendices contain price distributions details. The last section reports the availability of price projections and discusses some EIA projections compared with actual prices.

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

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01

    Gasoline PriceResponse to Chang- ing Gasoline Prices,” unpublishedShort-Run Price Elasticity of Gasoline Demand. ,” The Energy

  8. 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.

    2008-01-01

    4.2 E?ective Marginal Prices . . . . . . . . . . . . . . . .Demand Prices . . . . . . . . . . . . . . . . . . . . . .4 Calculation of Electricity Prices 4.1 Average

  9. Peak Population: Timing and Influences of Peak Energy on the World and the United States 

    E-Print Network [OSTI]

    Warner, Kevin 1987-

    2012-11-28

    Peak energy is the notion that the world’s total production of usable energy will reach a maximum value and then begin an inexorable decline. Ninety-two percent of the world’s energy is currently derived from the non-renewable sources (oil, coal...

  10. 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.

    2008-01-01

    Energy and Demand Prices . . . . . . . . . . . . . . . . . . . . . .US DOE 1999. Marginal Energy Prices Report U.S. Departmentmarginal price Marginal energy price in cper kwh Marginal

  11. Market Prices and Uncertainty Report

    Reports and Publications (EIA)

    2015-01-01

    Monthly analysis of crude oil, petroleum products, natural gas, and propane prices is released as a regular supplement to the Short-Term Energy Outlook.

  12. NIST Special Publication 1181 Unit Pricing Guide

    E-Print Network [OSTI]

    NIST Special Publication 1181 Unit Pricing Guide "A Best Practice Approach to Unit Pricing" Product Identity and Size Retail Price Unit Price Miscellaneous Information (Retailer Specific) Editor David Sefcik #12;THIS PAGE INTENTIONALLY LEFT BLANK #12;NIST Special Publication 1181 Unit Pricing Guide "A Best

  13. 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

  14. Georgia Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet) Decadefrom AllResidentialImports Price

  15. Hawaii Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet)CubicCitygate Price 17.82 22.94 31.58 32.39

  16. Oil Price Volatility

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead Price

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short6 Macroeconomic88.04 8.50

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short6 Macroeconomic88.04

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil priceheating9,propane price

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreases The

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreases

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreasespropane

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane pricepropane price

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases4,

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropanepropane price

  9. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price1,

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residentialpropane prices

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residentialpropane prices5,

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase The

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane pricespropane prices

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propanepropane price

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.10 Cooling Degree-Days by038.2

  19. Natural Gas Wellhead 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets16 (next20, 2008 Next3,4,04, 20119,7,1

  20. Natural Gas Wellhead 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets16 (next20, 2008 Next3,4,04, 20119,7,1

  1. Natural Gas Citygate 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e b r61-£661.loading new4.21

  2. Natural Gas Industrial 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e28 3.24 3.23200950 3.69 3.68

  3. Diesel 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel

  4. Diesel 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDiesel

  5. Diesel 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDieselDiesel

  6. Diesel prices decrease 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDieselDieselDiesel prices

  7. Diesel prices flat nationally

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDieselDieselDieselDiesel prices

  8. Diesel prices increase nationally

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increase nationally The

  9. Diesel prices rise 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increase nationallyDiesel

  10. Diesel prices slightly 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDiesel

  11. Diesel prices slightly 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDieselDieselDiesel

  12. NYMEX Futures 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIARegionalMethodology forNYMEX Futures Prices

  13. 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

    2011-02-01

    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.

  14. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , 2009 Energy & Operations 2 #12;Electricity usage · Contracts between electricity supplier and plants Harjunkoski Ignacio E. Grossmann Lisbon, Portugal; Ladenburg, Germany; Pittsburgh, USA EWO Meeting March 10 dates for each product) · Minimize total energy cost ­ Meet power availability constraints November 11

  15. 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.

    1996-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

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

  18. 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

    2012-01-01

    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.

  19. Participatory Pricing in Sport: An Examination of Name-Your-Own-Price and Pay-What-You-Want Pricing 

    E-Print Network [OSTI]

    Reese, Jason 1985-

    2012-12-06

    The purpose of this study is to better understand the effects participatory pricing strategies have on consumer perceptions and behaviors in a sport event pricing scenario. Participatory pricing strategies are those that include the consumer...

  20. Exploiting User Generated Content for Mountain Peak Detection

    E-Print Network [OSTI]

    Tagliasacchi, Marco

    Exploiting User Generated Content for Mountain Peak Detection Roman Fedorov Politecnico di Milano.g. snow water availability maps based on mountain peaks states extracted from photographs hosting services). User Generated Content(UGC); collective intelligence; passive crowdsourcing; environmental models

  1. Option Prices under Generalized Pricing BERTRAM D URING Duering@uni-mainz.de

    E-Print Network [OSTI]

    Düring, Bertram

    Option Prices under Generalized Pricing Kernels BERTRAM D ¨URING Duering@uni-mainz.de Institut f solutions for European option prices are derived for a class of rather general asset specific pricing of the Black and Scholes (1973) option pricing formula and the Heston (1993) option pricing formula for non

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

    E-Print Network [OSTI]

    Li, Zongpeng

    Shadow Prices vs. Vickrey Prices in Multipath Routing Parthasarathy Ramanujam, Zongpeng Li, Lisa}@ucalgary.ca Abstract--Shadow price and Vickrey price are two classic metrics that can be applied to measure routing. We show that Vickrey prices provide upper-bounds for shadow prices in general, and the fine

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01

    Robbery, An Analysis of the Gasoline Crisis”, Bloomington:Dynamic Pricing in Retail gasoline Markets”, RAND Journal ofR. Gilbert. “Do Gasoline Markets Respond Asymmetrically to

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01

    Dynamic Pricing in Retail gasoline Markets”, RAND Journal ofin the Canadian Retail Gasoline Market”, Energy Economics [Associates. “Canadian Retail Petroleum Markets Study”, Re-

  5. 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

  6. 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

  7. Off Peak Power - An Alternative to Interruptible Service 

    E-Print Network [OSTI]

    Nordyke, H. G., Jr.

    1984-01-01

    Georgia Power's Off-Peak Rider encourages load reductions up to 40% during on-peak periods over four summer months each year. Since summer on-peak time represents about 50% of available time, the customer's productive summer capacity may be reduced...

  8. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01

    pattern in the table is that prices rise as units increaseproduct cost and retail price. Table 3. Regression resultsanalysis. In Table 4, we have assumed that price is a linear

  9. Static Pricing for a Network Service Provider

    E-Print Network [OSTI]

    Caro, F.; Simchi-Levi, D.

    2006-01-01

    in Multiservice Loss Networks: Static Pricing, Aysmptoticoptimal versus optimal (static prices). N N 1 N 2 J a J ? JJ ? ?J a J ? Table 2: Static pricing and threshold policies

  10. VOLATILITY TIME AND PROPERTIES OF OPTION PRICES

    E-Print Network [OSTI]

    Janson, Svante

    VOLATILITY TIME AND PROPERTIES OF OPTION PRICES volatility time, to show convexity of option prices in the underlying asset if the contract function is convex as well as continuity and monotonicity of the option price in the volatility

  11. On the triple peaks of SNHunt248 in NGC 5806

    E-Print Network [OSTI]

    Kankare, E; Pastorello, A; Fraser, M; Mattila, S; Smartt, S J; Bruce, A; Chambers, K C; Elias-Rosa, N; Flewelling, H; Fremling, C; Harmanen, J; Huber, M; Jerkstrand, A; Kangas, T; Kuncarayakti, H; Magee, M; Magnier, E; Polshaw, J; Smith, K W; Sollerman, J; Tomasella, L

    2015-01-01

    We present our findings on a supernova (SN) impostor, SNHunt248, based on optical and near-IR data spanning $\\sim$15 yrs before discovery, to $\\sim$1 yr post-discovery. The light curve displays three distinct peaks, the brightest of which is at $M_{R} \\sim -15.0$ mag. The post-discovery evolution is consistent with the ejecta from the outburst interacting with two distinct regions of circumstellar material. The 0.5 - 2.2 $\\mu$m spectral energy distribution at -740 d is well-matched by a single 6700 K blackbody with $\\log(L/L_\\odot) \\sim 6.1$. This temperature and luminosity support previous suggestions of a yellow hypergiant progenitor; however, we find it to be brighter than the brightest and most massive Galactic late-F to early-G spectral type hypergiants. Overall the historical light curve displays variability of up to $\\sim \\pm1$ mag. At current epochs ($\\sim$1 yr post-outburst), the absolute magnitude ($M_{R} \\sim -9$ mag) is just below the faintest observed historical absolute magnitude $\\sim$10 yrs be...

  12. Natural Gas Futures Prices (NYMEX)

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

    093015 View History Spot Price Henry Hub 2.62 2.62 2.60 2.66 2.57 1997-2015 Futures Prices Contract 1 2.569 2.591 2.564 2.563 2.586 2.524 1994-2015 Contract 2 2.638 2.674 2.631...

  13. Price forecasting for notebook computers 

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    1997-01-01

    of individual features are estimated. A time series analysis is used to forecast and can be used, for example, to forecast (1) notebook computer price at introduction, and (2) rate of price erosion for a notebook's life cycle. Results indicate that this approach...

  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

    2002-05-15

    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. Market Designs for High Levels of Variable Generation: Preprint

    SciTech Connect (OSTI)

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

    2014-10-01

    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.

  16. Pricing of Fluctuations in Electricity Markets John N. Tsitsiklis and Yunjian Xu

    E-Print Network [OSTI]

    Tsitsiklis, John

    in Electricity Markets 2 to the deployment of peaking plants with higher ramping rates but higher marginal costPricing of Fluctuations in Electricity Markets John N. Tsitsiklis and Yunjian Xu Laboratory or Information and Decision Systems, MIT, Cambridge, MA, 02139, {jnt@mit.edu, yunjian@mit.edu} In an electric

  17. The Price of Parking on Great Streets

    E-Print Network [OSTI]

    Shoup, Donald

    2011-01-01

    UCTC-FR-20II-26 The Price of Parking on Great Streets Donaldare enacted. With performance-based parking prices, localrevenue return, and parking increment finance, everybody

  18. Prices include compostable serviceware and linen tablecloths

    E-Print Network [OSTI]

    California at Davis, University of

    APPETIZERS Prices include compostable serviceware and linen tablecloths for the food tables.ucdavis.edu. BUTTERNUT SQUASH & BLACK BEAN ENCHILADAS #12;BUFFETS Prices include compostable serviceware and linen

  19. The Dynamics of Real Estate Prices

    E-Print Network [OSTI]

    Case, Bradford; Quigley, John M.

    1988-01-01

    Techniques for Developing Real Estate Price Indices,"Regression Method for Real Estate Price Index Construction,&Berkeley FISHER CENTER FOR REAL ESTATE AND URBAN ECONOMICS p

  20. Wisconsin Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total ResidentialDecade Year-0 Year-1 Year-24.47 5.79 5.68

  1. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    varying wireless network capacities, electricity prices,electricity price, avail- able renewable energy supply, wireless

  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)

    2012-08-10

    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. 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

    2011-01-01

    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...

  4. WHAT PRICE PEACE? A COMPREHENSIVE APPROACH

    E-Print Network [OSTI]

    Bateman, Ian J.

    WHAT PRICE PEACE? A COMPREHENSIVE APPROACH TO THE SPECIFICATION AND ESTIMATION OF HEDONIC HOUSING PRICE MODELS by Brett Day, Ian Bateman and Iain Lake CSERGE Working Paper EDM 03-08 WHAT PRICE PEACE? A COMPREHENSIVE APPROACH TO THE SPECIFICATION AND ESTIMATION OF HEDONIC HOUSING PRICE MODELS by Brett Day1 , Ian

  5. Conservation Market Price Adder Wally Gibson

    E-Print Network [OSTI]

    Conservation Market Price Adder Wally Gibson Power Committee Web meeting May 19, 2009 May 19, 2009 2 Overview · Market price does not equal the cost of avoided resource · Market price is still relevant for resource choices · Conservation market price adder · Not the same as the 10% credit in the Act

  6. Reservation Price Estimation by Adaptive Conjoint Analysis

    E-Print Network [OSTI]

    Schmidt-Thieme, Lars

    Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

  7. 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

  8. 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

  9. Peak Ground Velocities for Seismic Events at Yucca Mountain, Nevada

    SciTech Connect (OSTI)

    K. Coppersmith; R. Quittmeyer

    2005-02-16

    This report describes a scientific analysis to bound credible horizontal peak ground velocities (PGV) for the repository waste emplacement level at Yucca Mountain. Results are presented as a probability distribution for horizontal PGV to represent uncertainties in the analysis. The analysis also combines the bound to horizontal PGV with results of ground motion site-response modeling (BSC 2004 [DIRS 170027]) to develop a composite hazard curve for horizontal PGV at the waste emplacement level. This result provides input to an abstraction of seismic consequences (BSC 2004 [DIRS 169183]). The seismic consequence abstraction, in turn, defines the input data and computational algorithms for the seismic scenario class of the total system performance assessment (TSPA). Planning for the analysis is documented in Technical Work Plan TWP-MGR-GS-000001 (BSC 2004 [DIRS 171850]). The bound on horizontal PGV at the repository waste emplacement level developed in this analysis complements ground motions developed on the basis of PSHA results. In the PSHA, ground motion experts characterized the epistemic uncertainty and aleatory variability in their ground motion interpretations. To characterize the aleatory variability they used unbounded lognormal distributions. As a consequence of these characterizations, as seismic hazard calculations are extended to lower and lower annual frequencies of being exceeded, the ground motion level increases without bound, eventually reaching levels that are not credible (Corradini 2003 [DIRS 171191]). To provide credible seismic inputs for TSPA, in accordance with 10 Code of Federal Regulations (CFR) 63.102(j) [DIRS 156605], this complementary analysis is carried out to determine reasonable bounding values of horizontal PGV at the waste emplacement level for annual frequencies of exceedance as low as 10{sup -8}. For each realization of the TSPA seismic scenario, the results of this analysis provide a constraint on the values sampled from the horizontal PGV hazard curve for the waste emplacement level. The relation of this analysis to other work feeding the seismic consequence abstraction and the TSPA is shown on Figure 1-1. The ground motion hazard results from the PSHA provide the basis for inputs to a site-response model that determines the effect of site materials on the ground motion at a location of interest (e.g., the waste emplacement level). Peak ground velocity values determined from the site-response model for the waste emplacement level are then used to develop time histories (seismograms) that form input to a model of drift degradation under seismic loads potentially producing rockfall. The time histories are also used to carry out dynamic seismic structural response calculations of the drip shield and waste package system. For the drip shield, damage from seismically induced rockfall also is considered. In the seismic consequence abstraction, residual stress results from the structural response calculations are interpreted in terms of the percentage of the component (drip shield, waste package) damaged as a function of horizontal PGV. The composite hazard curve developed in this analysis, which reflects the results of site-response modeling and the bound to credible horizontal PGV at the waste emplacement level, also feeds the seismic consequence abstraction. The composite hazard curve is incorporated into the TSPA sampling process to bound horizontal PGV and related seismic consequences to values that are credible.

  10. Cattle Feedlot Placement, Feeding, and Marketing Strategies Under Alternative Price Relationships. 

    E-Print Network [OSTI]

    Clary, Gregory M.; Dietrich, Raymond A.

    1979-01-01

    , The Texas A&M University System [Blank Page in Original Bulletin] Contents 4 HIGHLIGHTS 5 INTRODUCTION 5 The Problem 6 Source of Data 6 CHARACTERISTICS OF CATTLE FED BY SELECTED FEEDLOTS 7 COSTS AND PRICES FOR CATTLE FED BY SELECTED FEEDLOTS 7... optimal strategies for use in future trading by cattle-feeding management under 5 variable price relationships for feeder cattle, major feed grains, and slaughter cattle. Source of Data The primary source of data for this study was lot close...

  11. SFpark: Pricing Parking by Demand

    E-Print Network [OSTI]

    Pierce, Gregory; Shoup, Donald

    2013-01-01

    to think about the price of parking just as they now thinkrepairs, and car purchases. Parking will become a part ofthe right occupancy for curb parking, almost everyone will

  12. The Price of Unwanted Parking

    E-Print Network [OSTI]

    Manville, Michael; Shoup, Donald

    2010-01-01

    02.pdf. The full report, “Parking requirements as a barrier02 The Price of Unwanted Parking Michael Manville and Donalda city requires on-site parking for all new housing, housing

  13. The world price of coal

    E-Print Network [OSTI]

    Ellerman, A. Denny

    1994-01-01

    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 ...

  14. Table 1. Crude Oil Prices

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

    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...

  15. Transmission Services Product Pricing Validation

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

    and 09:00 PPT on the above effective date. On October 15, 2013, at 08:00 (PPT), Transmission Services will be updating the OASIS default product prices to reflect the 2014...

  16. Transmission Services Product Pricing Validation

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

    and 12:00 PPT on the above effective date. On October 1, 2015, at 11:00 (PPT), Transmission Services will be updating the OASIS default product prices to reflect the 2016...

  17. The Price of Feed Utilities. 

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01

    investigations. -Table ?'--Texas selling prices and calculated values per ton, / 1919 ( 1920 1921 / 1922 1923 1 1923 1924 1 Av. I Jan. Apr. 1 Jan. Table 8-Pennsylvania .selling prices and calculated values per ton. I I I Wheat middlings-price $ 32 06 6 50... value ..::::I 411531 541391 59:49) 72:471 - $ - 1 27.76 - - 1920 ! 1921 1 19221 Av. I I 38.8%~4070j$0/~5 31.00 25.86 34.12 34.37 35.40 36.60 28.00 27.91 30.00 33.90 31.75 34.54 Wheat gray shorts-price 66 40 58 20 40.00 lculated value...

  18. Utility Marketing Strategies & Pricing Trends 

    E-Print Network [OSTI]

    Gilbert, J. S.

    1989-01-01

    their customers, not merely their energy purchasers. These include their fuel suppliers and regulators. When a utility is not trusted, the competitive situation is reduced to that of a commodity supplier in which price and terms constitute the whole...

  19. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2003-08-01

    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 ...

  20. Price Quotes and Isotope Ordering

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

    Ordering Price Quotes and Isotope Ordering Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Isotope...

  1. Cataclysmic Variables

    E-Print Network [OSTI]

    Robert Connon Smith

    2007-01-23

    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.

  2. Regression analysis for peak designation in pulsatile pressure signals

    E-Print Network [OSTI]

    Scalzo, Fabien; Xu, Peng; Asgari, Shadnaz; Bergsneider, Marvin; Hu, Xiao

    2009-01-01

    5 ORIGINAL ARTICLE Regression analysis for peak designationwith more versatile regression models. The experimentalof different state-of-the-art regression analysis methods is

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

    Open Energy Info (EERE)

    Exploration Activity Details Location Desert Peak Area Exploration Technique Modeling-Computer Simulations Activity Date Usefulness not indicated DOE-funding Unknown References...

  4. Nuclear Hydrogen for Peak Electricity Production and Spinning Reserve

    SciTech Connect (OSTI)

    Forsberg, C.W.

    2005-01-20

    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.

  5. 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-through of crude oil prices to the prices of refined petroleum products and other commodities. Most of them make

  6. 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

  7. Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions

    E-Print Network [OSTI]

    Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions R describes a framework for testing the efficacy of a price-responsive load on a uniform price last accepted offer and a soft-cap market. Experimental evidence to date based on uniform price market testing has

  8. Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets

    E-Print Network [OSTI]

    Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

    2005-01-01

    Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . .versus AEO and Henry Hub Natural Gas Prices . . . . . .

  9. Natural Gas Futures Prices (NYMEX)

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

    15 View History Spot Price Henry Hub 2.75 2.69 2.69 2.70 2.70 2.61 1997-2015 Futures Prices Contract 1 2.72 2.68 2.68 2.68 2.68 2.57 1994-2015 Contract 2 2.75 2.70 2.76 2.76 2.75...

  10. 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

    2010-07-01

    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.

  11. 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

  12. Social Networking Reduces Peak Power Consumption in Smart Grid

    E-Print Network [OSTI]

    Wu, Dapeng Oliver

    in buildings represents approximately 74% of the nation's electricity consumption [1]. However, electricity the peak power consumption of schedulable jobs of electrical appliances of users under de- lay requirements1 Social Networking Reduces Peak Power Consumption in Smart Grid Qiuyuan Huang, Xin Li, Jing Zhao

  13. DESIGN CONSIDERATIONS ON PEAK POWER CLIPPING THRESHOLDS IN MICROGRIDS

    E-Print Network [OSTI]

    Noé, Reinhold

    DESIGN CONSIDERATIONS ON PEAK POWER CLIPPING THRESHOLDS IN MICROGRIDS Thorsten Vogt1 , Norbert One goal of grid coupled microgrid operating strategies is to reduce the maximum power drawn from the maximum feed-in power into the grid. 1. INTRODUCTION Peak power reduction of microgrids provides different

  14. Interlayer magnetoresistance peak in the ET-based organic superconductors

    E-Print Network [OSTI]

    Zuo, Fulin

    Interlayer magnetoresistance peak in the ET-based organic superconductors Fulin Zuo Department studies in the ET-based organic superconductors. For eld perpendicular to the planes as a function of superconducting transition, we nd the magnetoresistance peak is intrinisc to the layered

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    renewables can provide price certainty over longer terms. In6 This additiona l level of price discovery in longer-datedreplicate the long-term price stability that renewables can

  1. Index Revision, House Price Risk, and the Market for House Price Derivatives

    E-Print Network [OSTI]

    Deng, Yongheng; Quigley, John M.

    2008-01-01

    bias in repeat-sales home price indices. Freddie Mac workingpaper #05–03. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Figure 9: Two Alternative Price Forecasts (denoted by openComparison of AEO 2007 Natural Gas Price Forecast toNYMEX Futures Prices Date: December 6, 2006 Introduction On

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    revisions to the EIA’s natural gas price forecasts in AEOon the AEO 2005 natural gas price forecasts will likely onceComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

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

  8. Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber

    E-Print Network [OSTI]

    Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber Year Unweighte d Average Prices Weighted Average Prices Average of Unweighted and Weighted Prices Unweighted Average Prices Weighted Average Prices Average of Unweighted

  9. Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber

    E-Print Network [OSTI]

    Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber Year Unweighted Average Prices Weighted Average Prices Average of Unweighted and Weighted Prices Unweighted Average Prices Weighted Average Prices Average of Unweighted

  10. Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber

    E-Print Network [OSTI]

    Average Stumpage Prices Measured in Price per Ton for Forest Products Large Pine Sawtimber Small Pine Sawtimber Hardwood Sawtimber Year Unweighted Average Prices Weighted Average Prices Simple average of Unweighted and Weighted Prices Unweighted Average Prices Weighted Average Prices Simple average of Unweighted

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    need to consider coal and other fuel prices. This work wascoal-fired generation, for example), for several reasons: (1) price

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    time series of fossil fuel prices come from the Energyprices. Though fossil fuel prices may have been somewhatfossil fuels analyzed are traded in a global market (although price

  13. Essays on the Relationship of Competition and Firms' Price Responses 

    E-Print Network [OSTI]

    Lee, Sungbok

    2012-02-14

    This dissertation investigates the relationship of competition and firms' price responses, by analyzing: i) whether new entry reduces price discrimination, ii) when incumbents reduce price discrimination preemptively in ...

  14. 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.

    2008-01-01

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

  15. Prices, capacities and service quality in a congestible Bertrand duopoly

    E-Print Network [OSTI]

    De Borger, Bruno; Van Dender, Kurt

    2005-01-01

    Dender, Kurt. 2004. “Duopoly prices under congested access,”of demand on capacities and prices, see (3), has been madefacilities, even when price discrimination is allowed. r dq

  16. Flexible Demand Management under Time-Varying Prices

    E-Print Network [OSTI]

    Liang, Yong

    2012-01-01

    2.4 When Price Is Uncertain . . . . . . . . . .of the Parameters of the Price Structures . . . . . . .Day in a Typical Hourly Average Electricity Prices . . . . .

  17. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01

    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. --------

  18. Effect of Energy Efficiency Standards on Natural Gas Prices

    E-Print Network [OSTI]

    Carnall, Michael

    2012-01-01

    of Conservation on the Natural Gas Price,? memo to RichardEfficiency Standards on Natural Gas Prices Michael Carnall,Efficiency Standards on Natural Gas Prices Michael Carnall,

  19. Life Cycle Cost Discount Rates and Energy Price Projections ...

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

    Life Cycle Cost Discount Rates and Energy Price Projections Life Cycle Cost Discount Rates and Energy Price Projections Text file containing energy price projections underlying the...

  20. Measuring primordial non-Gaussianity through weak lensing peak counts

    E-Print Network [OSTI]

    Laura Marian; Stefan Hilbert; Robert E. Smith; Peter Schneider; Vincent Desjacques

    2012-04-18

    We explore the possibility of detecting primordial non-Gaussianity of the local type using weak lensing peak counts. We measure the peak abundance in sets of simulated weak lensing maps corresponding to three models f_NL={0, +100, -100}. Using survey specifications similar to those of Euclid and without assuming any knowledge of the lens and source redshifts, we find the peak functions of the non-Gaussian models with f_NL=+-100 to differ by up to 15% from the Gaussian peak function at the high-mass end. For the assumed survey parameters, the probability of fitting an f_NL=0 peak function to the f_NL=+-100 peak functions is less than 0.1%. Assuming the other cosmological parameters known, f_NL can be measured with an error \\Delta f_NL ~ 13. It is therefore possible that future weak lensing surveys like Euclid and LSST may detect primordial non-Gaussianity from the abundance of peak counts, and provide complementary information to that obtained from the cosmic microwave background.

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

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01

    effect of falling home prices on small business borrowing,”2 Understanding the Solar Home Price Premium: Electricitysocial influences on price,” Journal of Political Economy,

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

    E-Print Network [OSTI]

    Letzler, Robert

    2007-01-01

    block rate to fund rebates never creates a deadweightevidence . . . . . . . 8.3 Good IP rebate o?ers exist forand ?xed charges to o?er rebates while preserving CPP’s

  3. Diesel prices continue to 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel prices continueDiesel prices

  4. Diesel prices continue to rise

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel prices

  5. Diesel prices up this week

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel pricesDiesel prices top $4

  6. 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

  7. Potential Peak Load Reductions From Residential Energy Efficient Upgrades 

    E-Print Network [OSTI]

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

    2002-01-01

    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...

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

    E-Print Network [OSTI]

    Li, Xiang-Yang

    % of the nation's total electricity consumption. Unfortunately, due to inefficient energy consumption patternSmoothing the Energy Consumption: Peak Demand Reduction in Smart Grid Shaojie Tang , Qiuyuan Huang of Software, TNLIST, Tsinghua University Department of Electrical & Computer Engineering, University

  9. An Innovative Approach Towards National Peak Load Management 

    E-Print Network [OSTI]

    Al-Mulla, A.; Maheshwari, G. P.; Al-Nakib, D.; ElSherbini, A.; Alghimlas, F.; Al-Taqi, H.; Al-Hadban, Y.

    2008-01-01

    An innovative approach was developed and implemented in eight governmental buildings to reduce their load during the peak demand hours in summer of 2007. The innovative approach implemented in these buildings included pre-closing treatment (PCT...

  10. Off peak cooling using an ice storage system

    E-Print Network [OSTI]

    Quinlan, Edward Michael

    1980-01-01

    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 ...

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

    E-Print Network [OSTI]

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

    1987-01-01

    case study to define and illustrate three energy planning strategies applicable to hospitals. These strategies are peak shaving, thermal storage, cogeneration and/or paralleling with the electric utility....

  12. Equilibrium Distribution of Mutators in the Single Fitness Peak Model

    E-Print Network [OSTI]

    Tannenbaum, Emmanuel; Deeds, Eric J.; Shakhnovich, Eugene I.

    2003-09-26

    This Letter develops an analytically tractable model for determining the equilibrium distribution of mismatch repair deficient strains in unicellular populations. The approach is based on the single fitness peak model, ...

  13. 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

  14. Essays on macroeconomic risks and stock prices

    E-Print Network [OSTI]

    Duarte, Fernando Manuel

    2011-01-01

    In this thesis, I study the relationship between macroeconomic risks and asset prices. In the first chapter, I establish that inflation risk is priced in the cross-section of stock returns: stocks that have low returns ...

  15. Essays on Pricing Behaviors of Energy Commodities 

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16

    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...

  16. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01

    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 ...

  17. Essays on equity prices and market structures 

    E-Print Network [OSTI]

    Wu, Juan

    2009-05-15

    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 ...

  18. Alternative Fuel Price Report - March 28, 2005

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

    At the national average gasoline price of 2.109 per gallon, the fuel cost of an electric Ranger is less than that of its conventional counterpart for electricity price up...

  19. Utility Green Pricing Programs: Design, Implementation, and

    E-Print Network [OSTI]

    Utility Green Pricing Programs: Design, Implementation, and Consumer Response February 2004 · NREL-35618 Utility Green Pricing Programs: Design, Implementation, and Consumer Response Lori Bird, Blair Swezey legal liability or responsibility for the accuracy, completeness, or usefulness of any information

  20. Essays on Risk Sharing and Pricing

    E-Print Network [OSTI]

    Tran, Ngoc-Khanh

    2012-01-01

    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. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01

    Prices,” Journal of Real Estate Finance and Economics, 3,Mortgage Default Risk and Real Estate Prices: The Use ofFutures and Options in Real Estate,” Journal of Housing

  2. Essays on trades and security prices

    E-Print Network [OSTI]

    Obizhaeva, Anna

    2007-01-01

    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. Three essays on product quality and pricing

    E-Print Network [OSTI]

    Nistor, Cristina (Cristina Daniela)

    2012-01-01

    This dissertation consists of three essays on product quality and pricing. Essay 1: Pricing and Quality Provision in a Channel: A Model of Efficient Relational Contracts The first essay analyzes how quality concerns affect ...

  4. 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)

    2013-04-15

    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.

  5. Resonant Orbits and the High Velocity Peaks Towards the Bulge

    E-Print Network [OSTI]

    Molloy, Matthew; Evans, N Wyn; Shen, Juntai

    2015-01-01

    We extract the resonant orbits from an N-body bar that is a good representation of the Milky Way, using the method recently introduced by Molloy et al. (2015). By decomposing the bar into its constituent orbit families, we show that they are intimately connected to the boxy-peanut shape of the density. We highlight the imprint due solely to resonant orbits on the kinematic landscape towards the Galactic centre. The resonant orbits are shown to have distinct kinematic features and may be used to explain the cold velocity peak seen in the APOGEE commissioning data (Nidever et al. 2012). We show that high velocity peaks are a natural consequence of the motions of stars in the 2:1 orbit family. The locations of the peaks vary with bar angle and, with the tacit assumption that the observed peaks are due to the 2:1 family, we find that the locations of the high velocity peaks correspond to bar angles in the range 10 < theta_bar < 25 (deg). However, some important questions about the nature of the peaks remain...

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01

    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,

  7. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    In comparison, the rise in coal prices has been slower andindustrial price. Finally, coal prices come from Table 4.1Fiberglass Energy Prices Diesel Coal Natural Gas Currency

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

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2013-10-01

    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. Price Changes in the Gasoline Market - Are Midwestern Gasoline Prices Downward Sticky?

    Reports and Publications (EIA)

    1999-01-01

    The report concentrates on regional gasoline prices in the Midwest from October 1992 through June 1998.

  11. 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

  12. 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-form equations for real metal prices that depend separately on the trend and cyclical components of global real

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

    E-Print Network [OSTI]

    A comparison of option prices under different pricing measures in a stochastic volatility model option prices in an incomplete stochastic volatility model with correlation. In a general setting, we prove an ordering result which says that prices for European options with convex payoffs are decreasing

  14. RECOVERING A TIME-HOMOGENEOUS STOCK PRICE PROCESS FROM PERPETUAL OPTION PRICES

    E-Print Network [OSTI]

    RECOVERING A TIME-HOMOGENEOUS STOCK PRICE PROCESS FROM PERPETUAL OPTION PRICES ERIK EKSTR¨OM AND DAVID HOBSON Abstract. It is well-known how to determine the price of perpetual American options if the underlying stock price is a time-homogeneous diffusion. In the present paper we consider the inverse problem

  15. Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds

    E-Print Network [OSTI]

    Rusmevichientong, Paat

    Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds W@orie.cornell.edu September 5, 2013 Abstract We consider two variants of a pricing problem under the nested logit model. In the first variant, the set of products offered to customers is fixed and we want to determine the prices

  16. 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING ................................................... 1

    E-Print Network [OSTI]

    McCarl, Bruce A.

    13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING.................................................................................................................... 16 #12;13.1 Introduction A common economic application of nonlinear programming involves price endogenous models. In the standard LP model, input and output prices or quantities are assumed fixed

  17. A uniform price auction with locational price adjustments for competitive electricity markets

    E-Print Network [OSTI]

    A uniform price auction with locational price adjustments for competitive electricity markets Price auction is an appropriate institution. However, an efficient implementation of this auction in an electricity context requires that the offers used in the auction reflect the appropriate locational price

  18. Furniture Standards Contract Price Guide

    E-Print Network [OSTI]

    Sussex, University of

    1 Furniture Standards Contract Price Guide Issue 1 - July 2007 www.broadstock.co.uk University of Sussex #12;2 Contents Office 5 1600 x 1600 Universal workstations 6 Double wave desks 7 Fixed tables 7 Circular tables 7 Bench 8 Screens 10 Electrics 12 Storage 13 Pedestals 14 Magnus wooden storage 15 Metrix

  19. Capital Markets and the Pricing

    E-Print Network [OSTI]

    Schubart, Christoph

    Portfolios 10.7 Measuring Systematic Risk 10.8 Beta and the Cost of Capital #12;Copyright ©2014 Pearson Asset Pricing Model to calculate the cost of capital for a particular project. 12.Explain why in an efficient capital market the cost of capital depends on systematic risk rather than diversifiable risk. #12

  20. President's House Price's Fork Road

    E-Print Network [OSTI]

    President's House Price's Fork Road Inn at Virginia Tech and Skelton Conference Center HOKIE BIKE HUB Media Hall Fralin Biotechnology Center Greenhouses Air Conditioning Plant Southgate Center Addition Sandy South Drillfield Drive WestCampusDrive Alumni Mall Washington Street SpringRoad Sterre Perry Street Kent

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

    SciTech Connect (OSTI)

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

    1995-12-31

    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.

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

    Reports and Publications (EIA)

    1998-01-01

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

  3. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01

    and Technology Architecture Pricing Technology Architecture and Client Interfaces..Pricing Technology Architecture and Client Interfaces 3.3.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    this period. Diesel fuel and natural gas prices experiencedmonthly price estimate for all types of highway diesel fuel.

  5. 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

  6. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    electric- ity price and renewable energy supply. . . . . . .price, available renewable energy supply, wireless networkprice, available renewable energy supply, wireless network

  7. Congestion Pricing for Resource Control in WCDMA

    E-Print Network [OSTI]

    Stylianou, Yannis

    1 Congestion Pricing for Resource Control in WCDMA Vasilios A. Siris ICS-FORTH, Crete, Greece & signal quality, and power Congestion pricing for elastic traffic captures congestion in wireless & wired Alternative application of congestion pricing Extensions: hybrid code/time division multiplexing rate

  8. MODELS FOR ELECTRICITY PRICES Avishka Raghoonundun

    E-Print Network [OSTI]

    Fournier, John J.F.

    MODELS FOR ELECTRICITY PRICES by Avishka Raghoonundun BSc (Hons),University of Mauritius,2007 M markets has led to higher uncertainty in electricity prices. Electricity, as a commodity, differs from-storability restriction, the most con- spicuous one is the presence of large spikes in electricity prices. Another outcome

  9. Comparison of option prices in semimartingale models

    E-Print Network [OSTI]

    Rüschendorf, Ludger

    Comparison of option prices in semimartingale models Jan Bergenthum, Ludger R¨uschendorf Department.r.t. martingale pricing measures. The comparison is with respect to convex and also with respect to directionally characteristics of the stochastic logarithm of the stock price processes S, S . As examples we discuss

  10. Acquisition Management Under Fluctuating Raw Material Prices

    E-Print Network [OSTI]

    Yang, Jian

    Acquisition Management Under Fluctuating Raw Material Prices Jian Yang Department of Industrial@gsu.edu W e study a continuous-review acquisition problem, in which the raw material price follows that the order-up-to levels are decreasing at the current price level. At the same time, our computational study

  11. Optimal Prices for Finite Capacity Queueing Systems

    E-Print Network [OSTI]

    Ziya, Serhan

    Optimal Prices for Finite Capacity Queueing Systems Serhan Ziya Department of Statistics prove a lower bound on the optimal price for a fairly large class of blocking systems with general arrival and service processes, determine optimal price expressions for M/M/1/m and M/GI/s/s systems

  12. Bride Price and Female Education Nava Ashraf

    E-Print Network [OSTI]

    Harris, Jack

    Bride Price and Female Education Nava Ashraf Natalie Bau Nathan Nunn§ Alessandra Voena¶ November 1 also inspire condemnation. The custom of bride price, prevalent throughout sub-Saharan Africa that previously found small eects on female enrollment mask heterogeneity by bride price tradition. Ethnic groups

  13. The Right-Price Consultants Julie Swann

    E-Print Network [OSTI]

    Swann, Julie L.

    The Right-Price Consultants Julie Swann October 2002 To appear in Cases in Revenue Management Eds, a number of industries have turned towards innovative pricing strategies such as revenue management or dynamic pricing to manage their inventory effectively. Firms are employing such varied tools as dynamic

  14. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

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

  15. 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

  16. 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

  17. 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

    2004-01-01

    Risk: Using Forward Natural Gas Prices Instead of Gas Price2001). “Which way the natural gas price: an attempt toThe Role of Forward Natural Gas Prices Mark Bolinger, Ryan

  18. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08

    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.

  19. Measuring and Explaining Electricity Price Changes in Restructured States

    SciTech Connect (OSTI)

    Fagan, Mark L.

    2006-06-15

    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)

  20. Price regulation for waste hauling franchises in California: an examination of how regulators regulate pricing and the effects of competition on regulated markets

    E-Print Network [OSTI]

    Seltzer, Steven A.

    2011-01-01

    of Haulers on Price Ratios.. Table 14: Projected PriceCompared to Actual Price Ratios…………… Table 15: Analysis= ? + ß 1 LNHAUL + u TABLE 12 Price Differentials and the

  1. Price regulation for waste hauling franchises in California: an examination of how regulators regulate pricing and the effects of competition on regulated markets

    E-Print Network [OSTI]

    Seltzer, Steven A.

    2011-01-01

    Thomadakis, Stavros. “Price Regulation Under Uncertainty in698. Bös, Dieter. Pricing and Price Regulation. Elsevier.Optimal Structure of Public Prices. ” The American Economic

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

    E-Print Network [OSTI]

    Joskow, Paul; Kahn, Edward

    2004-06-16

    in Northern California, gas-fired steam and peaking turbines, and cogenerators and other generation sources that are ?Qualifying Facilities? (QFs) under the Public Utility Regulatory Policy Act of 1978 (PURPA). About half of in-state generating capacity... and Lynch (2000), California Independent System Operator Department of Market Analysis (2000), California Power Exchange Corporation Compliance Unit (2000) among others. 3 FERC (1998) gives a detailed account of price spikes in Midwestern markets...

  3. Storing hydroelectricity to meet peak-hour demand

    SciTech Connect (OSTI)

    Valenti, M.

    1992-04-01

    This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

  4. Wavelet Approach for Operational Gamma Spectral Peak Detection - Preliminary Assessment

    SciTech Connect (OSTI)

    ,

    2012-02-01

    Gamma spectroscopy for radionuclide identifications typically involves locating spectral peaks and matching the spectral peaks with known nuclides in the knowledge base or database. Wavelet analysis, due to its ability for fitting localized features, offers the potential for automatic detection of spectral peaks. Past studies of wavelet technologies for gamma spectra analysis essentially focused on direct fitting of raw gamma spectra. Although most of those studies demonstrated the potentials of peak detection using wavelets, they often failed to produce new benefits to operational adaptations for radiological surveys. This work presents a different approach with the operational objective being to detect only the nuclides that do not exist in the environment (anomalous nuclides). With this operational objective, the raw-count spectrum collected by a detector is first converted to a count-rate spectrum and is then followed by background subtraction prior to wavelet analysis. The experimental results suggest that this preprocess is independent of detector type and background radiation, and is capable of improving the peak detection rates using wavelets. This process broadens the doors for a practical adaptation of wavelet technologies for gamma spectral surveying devices.

  5. State energy-price system: 1981 update

    SciTech Connect (OSTI)

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

    1983-08-01

    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.

  6. State energy price and expenditure report 1991

    SciTech Connect (OSTI)

    Not Available

    1993-09-01

    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.

  7. OSU Student Health Services Travel Clinic Prices, 2015-2016 Travel Consult prices and length of appointment

    E-Print Network [OSTI]

    Tullos, Desiree

    OSU Student Health Services Travel Clinic Prices, 2015-2016 Travel Consult prices and length. Prices listed below are subject to change based on vaccine or medication price increases. Vaccines prices, and region of travel all impact vaccine recommendations. Vaccine prices below include a $14 injection fee. Td

  8. Silver Peak Innovative Exploration Project (Ram Power Inc.)

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

    Miller, Clay

    2010-01-01

    Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a “deep-circulation (amagmatic)” meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich brines from which have been mined for several decades). Spring- and shallow-borehole thermal-water geochemistry and geothermometry suggest that a Silver Peak geothermal reservoir is very likely to attain the temperature range 260- 300oF (~125-150oC), and may reach 300-340oF (~150-170oC) or higher (GeothermEx, Inc., 2006). Results of detailed geologic mapping, structural analysis, and conceptual modeling of the prospect (1) support the GeothermEx (op. cit.) assertion that the Silver Peak prospect has good potential for geothermal-power production; and (2) provide a theoretical geologic framework for further exploration and development of the resource. The Silver Peak prospect is situated in the transtensional (regional shearing coupled with extension) Walker Lane structural belt, and squarely within the late Miocene to Pliocene (11 Ma to ~5 Ma) Silver Peak-Lone Mountain metamorphic core complex (SPCC), a feature that accommodated initial displacement transfer between major right-lateral strike- slip fault zones on opposite sides of the Walker Lane. The SPCC consists essentially of a ductiley-deformed lower plate, or “core,” of Proterozoic metamorphic tectonites and tectonized Mesozoic granitoids separated by a regionally extensive, low-angle detachment fault from an upper plate of severely stretched and fractured structural slices of brittle, Proterozoic to Miocene-age lithologies. From a geothermal perspective, the detachment fault itself and some of the upper-plate structural sheets could function as important, if secondary, subhorizontal thermal-fluid aquifers in a Silver Peak hydrothermal system.

  9. Silver Peak Innovative Exploration Project (Ram Power Inc.)

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

    Miller, Clay

    Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a “deep-circulation (amagmatic)” meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich brines from which have been mined for several decades). Spring- and shallow-borehole thermal-water geochemistry and geothermometry suggest that a Silver Peak geothermal reservoir is very likely to attain the temperature range 260- 300oF (~125-150oC), and may reach 300-340oF (~150-170oC) or higher (GeothermEx, Inc., 2006). Results of detailed geologic mapping, structural analysis, and conceptual modeling of the prospect (1) support the GeothermEx (op. cit.) assertion that the Silver Peak prospect has good potential for geothermal-power production; and (2) provide a theoretical geologic framework for further exploration and development of the resource. The Silver Peak prospect is situated in the transtensional (regional shearing coupled with extension) Walker Lane structural belt, and squarely within the late Miocene to Pliocene (11 Ma to ~5 Ma) Silver Peak-Lone Mountain metamorphic core complex (SPCC), a feature that accommodated initial displacement transfer between major right-lateral strike- slip fault zones on opposite sides of the Walker Lane. The SPCC consists essentially of a ductiley-deformed lower plate, or “core,” of Proterozoic metamorphic tectonites and tectonized Mesozoic granitoids separated by a regionally extensive, low-angle detachment fault from an upper plate of severely stretched and fractured structural slices of brittle, Proterozoic to Miocene-age lithologies. From a geothermal perspective, the detachment fault itself and some of the upper-plate structural sheets could function as important, if secondary, subhorizontal thermal-fluid aquifers in a Silver Peak hydrothermal system.

  10. On the origin of the Boson peak in globular proteins

    E-Print Network [OSTI]

    Stefano Ciliberti; Paolo De Los Rios; Francesco Piazza

    2006-10-09

    We study the Boson Peak phenomenology experimentally observed in globular proteins by means of elastic network models. These models are suitable for an analytic treatment in the framework of Euclidean Random Matrix theory, whose predictions can be numerically tested on real proteins structures. We find that the emergence of the Boson Peak is strictly related to an intrinsic mechanical instability of the protein, in close similarity to what is thought to happen in glasses. The biological implications of this conclusion are also discussed by focusing on a representative case study.

  11. Natural Gas Futures Prices (NYMEX)

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

    2.75 3.73 1997-2013 NGPL Composite 8.99 11.83 15.12 10.98 9.94 9.56 2007-2014 Futures Prices Contract 1 4.159 4.382 4.03 2.83 3.73 1994-2013 Contract 2 4.428 4.471 4.09 2.93 3.77...

  12. Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

    SciTech Connect (OSTI)

    Fuller, Jason C.; Vyakaranam, Bharat GNVSR; Prakash Kumar, Nirupama; Leistritz, Sean M.; Parker, Graham B.

    2012-04-29

    The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in open-source software, GridLAB-D, including evaluation of appliance controls, improvement to current algorithms, and development of aggregate control methodologies. This report is the first in a series of three reports describing the potential of GE's demand response enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The second and third reports will explore the potential of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation and the effects on volt-var control schemes.

  13. Providing Regulation Services and Managing Data Center Peak Power Budgets

    E-Print Network [OSTI]

    Simunic, Tajana

    -based peak shaving. However, none of these publications consider the feasibility of using the energy storage AND RELATED WORK Substantial integration of electric vehicles and renewable energy sources into the electric utility companies use to ensure stability. It includes multiple mechanisms, such as demand-response (DR

  14. Green Scheduling: Scheduling of Control Systems for Peak Power Reduction

    E-Print Network [OSTI]

    Pappas, George J.

    Green Scheduling: Scheduling of Control Systems for Peak Power Reduction Truong Nghiem, Madhur Behl, George J. Pappas and Rahul Mangharam Department of Electrical and Systems Engineering University and air quality control systems within buildings and datacenters operate independently of each other

  15. Disordering transitions in vortex matter: peak effect and phase diagram

    E-Print Network [OSTI]

    Scalettar, Richard T.

    Disordering transitions in vortex matter: peak effect and phase diagram C.J. Olson a,*, C- order nature of this transition. In YBCO a rapid increase in Jc as a function of magnetic field vortex phase diagram as a function of magnetic field and temperature. For increasing field or temperature

  16. Distributed Battery Control for Peak Power Shaving in Datacenters

    E-Print Network [OSTI]

    Simunic, Tajana

    subsystem which ensures correct server operation (e.g. cooling subsystem, uninterruptible power supply - UPSDistributed 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

  17. Peak-Jumping Frequent Itemset Mining Nele Dexters1

    E-Print Network [OSTI]

    Van Gucht, Dirk

    Peak-Jumping Frequent Itemset Mining Algorithms Nele Dexters1 , Paul W. Purdom2 , and Dirk Van Gucht2 1 Departement Wiskunde-Informatica, Universiteit Antwerpen, Belgium, nele.dexters@ua.ac.be, 2. We analyze algorithms that, under the right circumstances, permit efficient mining for frequent

  18. Disturbance and Landscape Dynamics The Rocky Mountains, Lander's Peak, 1863

    E-Print Network [OSTI]

    Hansen, Andrew J.

    environment. (Pickett and White 1985) Defining and Quantifying Disturbance #12;Frequency - number a specified time. Defining and Quantifying Disturbance #12;Frequency: none Frequency: 250-500 yrs SeverityBioe 515 Disturbance and Landscape Dynamics #12;The Rocky Mountains, Lander's Peak, 1863 Albert

  19. 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

    2003-01-01

    2003 Papapetrou, E. 2001. "Oil Price Shocks, Stock Market,2003. Sadorsky, P. 1999. "Oil Price Shocks and Stock MarketS. Awerbuch. 2002 (draft). Oil Price Volatility and Economic

  20. 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

    2003-01-01

    Theis. 2001. “Which way the natural gas price: an attempt toHedge Against Natural Gas Price Movements. ” http://Downward Pressure on Natural Gas Prices: The Impact of

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

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price........................................................................................ 13 Fuel Prices................................................................................................................................. 14 Carbon Dioxide Prices

  2. Domestic petroleum-product prices around the world. Survey: free market or government price controls

    SciTech Connect (OSTI)

    Not Available

    1983-01-27

    In this issue, Energy Detente draws from their regular Western and Eastern Hemisphere Fuel Price/Tax Series, each produced monthly, and adds other survey data and analysis for a broad view of 48 countries around the world. They find that seven Latin American nations, including OPEC members Venezuela and Ecuador, are among the ten countries with lowest gasoline prices. In this Fourth Special Price Report, Energy Detente provides a first-time presentation of which prices are government-controlled, and which are free to respond to market forces. South Korea, with fixed prices since 1964, has the highest premium-grade gasoline price in our survey, US $5.38 per gallon. Paraguay, with prices fixed by PETROPAR, the national oil company, has the second highest premium gasoline price, US $4.21 per gallon. Nicaragua, also with government price controls, ranks third highest in the survey, with US $3.38 per gallon for premium gasoline. Kuwait shows the lowest price at US $0.55 per gallon. Several price changes from the previous survey reflect changes in currency exchange as all prices are converted to US dollars. The Energy Detente fuel price/tax series is presented for Western Hemisphere countries.

  3. Implications of 'peak oil' for atmospheric CO{sub 2} and climate - article no. GB3012

    SciTech Connect (OSTI)

    Kharecha, P.A.; Hansen, J.E.

    2008-08-15

    Unconstrained CO{sub 2} emission from fossil fuel burning has been the dominant cause of observed anthropogenic global warming. The amounts of 'proven' and potential fossil fuel reserves are uncertain and debated. Regardless of the true values, society has flexibility in the degree to which it chooses to exploit these reserves, especially unconventional fossil fuels and those located in extreme or pristine environments. If conventional oil production peaks within the next few decades, it may have a large effect on future atmospheric CO{sub 2} and climate change, depending upon subsequent energy choices. Assuming that proven oil and gas reserves do not greatly exceed estimates of the Energy Information Administration, and recent trends are toward lower estimates, we show that it is feasible to keep atmospheric CO{sub 2} from exceeding about 450 ppm by 2100, provided that emissions from coal, unconventional fossil fuels, and land use are constrained. Coal-fired power plants without sequestration must be phased out before midcentury to achieve this CO{sub 2} limit. It is also important to 'stretch' conventional oil reserves via energy conservation and efficiency, thus averting strong pressures to extract liquid fuels from coal or unconventional fossil fuels while clean technologies are being developed for the era 'beyond fossil fuels'. We argue that a rising price on carbon emissions is needed to discourage conversion of the vast fossil resources into usable reserves, and to keep CO{sub 2} beneath the 450 ppm ceiling.

  4. Appliance Efficiency Standards and Price Discrimination

    SciTech Connect (OSTI)

    Spurlock, Cecily Anna

    2013-05-08

    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.

  5. State energy price and expenditure report 1994

    SciTech Connect (OSTI)

    1997-06-01

    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.

  6. Pollution and the price of power

    SciTech Connect (OSTI)

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

    2008-07-01

    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.

  7. 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

    2003-01-01

    stability is beyond reproach. As long-term price stabilityexplanation stands beyond reproach, and it is perhaps morestability is beyond reproach. As long-term price stability

  8. Ionoacoustic characterization of the proton Bragg peak with submillimeter accuracy

    SciTech Connect (OSTI)

    Assmann, W. Reinhardt, S.; Lehrack, S.; Edlich, A.; Thirolf, P. G.; Parodi, K.; Kellnberger, S.; Omar, M.; Ntziachristos, V.; Moser, M.; Dollinger, G.

    2015-02-15

    Purpose: Range verification in ion beam therapy relies to date on nuclear imaging techniques which require complex and costly detector systems. A different approach is the detection of thermoacoustic signals that are generated due to localized energy loss of ion beams in tissue (ionoacoustics). Aim of this work was to study experimentally the achievable position resolution of ionoacoustics under idealized conditions using high frequency ultrasonic transducers and a specifically selected probing beam. Methods: A water phantom was irradiated by a pulsed 20 MeV proton beam with varying pulse intensity and length. The acoustic signal of single proton pulses was measured by different PZT-based ultrasound detectors (3.5 and 10 MHz central frequencies). The proton dose distribution in water was calculated by Geant4 and used as input for simulation of the generated acoustic wave by the matlab toolbox k-WAVE. Results: In measurements from this study, a clear signal of the Bragg peak was observed for an energy deposition as low as 10{sup 12} eV. The signal amplitude showed a linear increase with particle number per pulse and thus, dose. Bragg peak position measurements were reproducible within ±30 ?m and agreed with Geant4 simulations to better than 100 ?m. The ionoacoustic signal pattern allowed for a detailed analysis of the Bragg peak and could be well reproduced by k-WAVE simulations. Conclusions: The authors have studied the ionoacoustic signal of the Bragg peak in experiments using a 20 MeV proton beam with its correspondingly localized energy deposition, demonstrating submillimeter position resolution and providing a deep insight in the correlation between the acoustic signal and Bragg peak shape. These results, together with earlier experiments and new simulations (including the results in this study) at higher energies, suggest ionoacoustics as a technique for range verification in particle therapy at locations, where the tumor can be localized by ultrasound imaging. This acoustic range verification approach could offer the possibility of combining anatomical ultrasound and Bragg peak imaging, but further studies are required for translation of these findings to clinical application.

  9. Evidence for Two Distinct Morphological Classes of Gamma-Ray Bursts from their Short Timescale Variability

    E-Print Network [OSTI]

    D. Q. Lamb; C. Graziani; I. A. Smith

    1993-06-15

    We have analyzed the 241 bursts for which peak counts $\\C$ exist in the publicly available Burst and Transient Source Experiment (BATSE) catalog. Introducing peak counts in 1024 ms as a measure of burst brightness $\\B$ and the ratio of peak counts in 64 and 1024 ms as a measure of short timescale variability $\\V$, we find a statistically significant correlation between the brightness and the short timescale variability of \\g-ray bursts. The bursts which are smoother on short timescales are both faint and bright, while the bursts which are variable on short timescales are faint only, suggesting the existence of two distinct morphological classes of bursts.

  10. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    turbine scaling, raw materials prices, energy prices, andin the commodity price of raw materials and energy inputs toMovements Labor Costs (Vestas) Raw Materials Prices Warranty

  11. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

    2010-01-01

    Agency. IEA, 2009, Energy prices and taxes, Working paper,prices, the shape of the energy price curves, and weatherto high and volatile energy prices. Most economists would

  12. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    raw materials prices, energy prices, and foreign exchangematerials (and later energy) prices focuses exclusively onindividual material). 3.6 Energy Prices Life-cycle analyses

  13. State energy price and expenditure report 1993

    SciTech Connect (OSTI)

    1995-12-01

    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.

  14. State energy price and expenditure report 1992

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    the AEO 2005 reference case oil price forecast and NYMEX oibasis-adjusted NYMEX crude oil futures con tracts fo r 2010more than the reference case oil price forecast for that

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

    E-Print Network [OSTI]

    Padilla, Mercedes A. (Mercedes Angeles)

    2005-01-01

    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 ...

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    or other forms of generation whose costs are not tied to thethe levelized costs of fixed-price renewable generation withthe cost of fixed-price renewable generation be compared to

  19. Assessment of Prices of Natural Gas Futures Contracts As A Predictor of Realized Spot Prices, An

    Reports and Publications (EIA)

    2005-01-01

    This article compares realized Henry Hub spot market prices for natural gas during the three most recent winters with futures prices as they evolve from April through the following February, when trading for the March contract ends.

  20. Load controller and method to enhance effective capacity of a photovotaic power supply using a dynamically determined expected peak loading

    DOE Patents [OSTI]

    Perez, Richard (Delmar, NY)

    2003-04-01

    A load controller and method are provided for maximizing effective capacity of a non-controllable, renewable power supply coupled to a variable electrical load also coupled to a conventional power grid. Effective capacity is enhanced by monitoring power output of the renewable supply and loading, and comparing the loading against the power output and a load adjustment threshold determined from an expected peak loading. A value for a load adjustment parameter is calculated by subtracting the renewable supply output and the load adjustment parameter from the current load. This value is then employed to control the variable load in an amount proportional to the value of the load control parameter when the parameter is within a predefined range. By so controlling the load, the effective capacity of the non-controllable, renewable power supply is increased without any attempt at operational feedback control of the renewable supply. The expected peak loading of the variable load can be dynamically determined within a defined time interval with reference to variations in the variable load.

  1. Transmission Services Product Pricing Validation - September...

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

    Transmission-Services-Product-Pricing-Validation---September-17,-2015 Sign In About | Careers | Contact | Investors | bpa.gov Search Doing Business Expand Doing Business Customer...

  2. Reminder: Transmission Services Product Pricing Validation -...

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

    Transmission-Services-Product-Pricing-Validation---September-24,-2015 Sign In About | Careers | Contact | Investors | bpa.gov Search Doing Business Expand Doing Business Customer...

  3. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01

    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.

  4. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01

    Do Consumers Respond? Residential Demand Elasticity UnderPrice elasticity of residential demand for water: A meta-Evidence from Residential Electricity Demand. ” The Review

  5. Real Estate Price Measurement and Stability Crises

    E-Print Network [OSTI]

    Wallace, Nancy

    2011-01-01

    modeling approach, Real Estate Economics 32, 297–328.regression method for real estate price index construction,to redevelop, Journal of Real Estate Finance and Economics

  6. SF 6432-LA Fixed Price Latin America

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

    CORPORATION SF 6432-LA (112015) SECTION II STANDARD TERMS AND CONDITIONS FOR FIXED PRICE CONTRACTS RENEWABLE ENERGY PROGRAMS IN LATIN AMERICAN COUNTRIES THE FOLLOWING CLAUSES...

  7. Optimization Online - Minimal Representation of Insurance Prices

    E-Print Network [OSTI]

    Oct 27, 2012 ... Minimal Representation of Insurance Prices. Alois Pichler (alois.pichler ***at*** univie.ac.at) Alexander Shapiro (ashapiro ***at*** ...

  8. Duality and Pricing in Infinite Dimensional Optimization

    E-Print Network [OSTI]

    2014-08-12

    since dual funtionals “price” constraints by mapping vectors in the constraint space to the ...... the band Bzn . This projection operator is well-defined since zn is a ...

  9. Single-Product Pricing via Robust Optimization

    E-Print Network [OSTI]

    2006-01-30

    Demand uncertainty in revenue management has traditionally been addressed by ..... where the right-hand side is positive since demand decreases with price.

  10. Actuarial Analysis 101: Profitably Pricing a Healthplan

    E-Print Network [OSTI]

    John Koelling

    Profitably Pricing a Healthplan. September 10, 2004. John Koelling, A.S.A, M.A.A.A.. CIGNA Corporation. General Healthcare Financial Cycle. Sales and.

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

    E-Print Network [OSTI]

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

  12. 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

  13. Explanation of the Random Lengths Framing Lumber Composite Price

    E-Print Network [OSTI]

    Explanation of the Random Lengths Framing Lumber Composite Price May 10, 2006 The Random Lengths Framing Lumber Composite is a broad measure of price behavior in the U.S. framing lumber market prices, 33% comes from Western U.S. prices, and 34% comes from Canadian prices. The Composite does

  14. Innovative Utility Pricing for Industry 

    E-Print Network [OSTI]

    Ross, J. A.

    1986-01-01

    stream_source_info ESL-IE-86-06-20.pdf.txt stream_content_type text/plain stream_size 22550 Content-Encoding ISO-8859-1 stream_name ESL-IE-86-06-20.pdf.txt Content-Type text/plain; charset=ISO-8859-1 INNOVATIVE UTILITY... self-generation. The paper discusses compe tition for industrial customers and innovative pricing trends that have evolved nationally to meet the growing competition for industrial sales. Cogeneration activities and the emerging concepts...

  15. The Price and the Prize 

    E-Print Network [OSTI]

    Multiple Contributors

    1981-01-01

    expensive printer, which will raise the price of the zine to those who have not preordered), THE PRICS AND THE PRIZE is at long last done, mailed, and held in your very hands. Contained herein, for your reading pleasure, you will find our two title..., vanished, gone. Worlds without end, all at an end, amen . Dead. like he was ( ?), had been (?), would be (?). Tell me how long 01' Jim's been gone. Pity. Bones wouldn't like losing his favorite customer. And Spock-- Oh my God, Spock-- Fragmentar, images...

  16. West Virginia Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total Residential DeliveriesDecade Year-0(MillionperNA 4.49

  17. New Hampshire 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price (Dollars perFeet) (Millionper5.52

  18. New Jersey 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price (Dollars2009 2010IndustrialThousand4.73

  19. New Mexico 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780 922 (Million Cubic2009 2010

  20. New York 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780Year Jan Feb

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.10 CoolingNotesShale natural2) June 20144)

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.10 CoolingNotesShale natural2) June 20144)7)

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.10 CoolingNotesShale natural2) June

  4. Gasoline Price Pass-through

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets 9,WhyConsumption6Fuel Oil

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctober 2015Administrationheating oil price

  6. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctober 2015Administrationheatingheating oil price

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases The average

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases The average6,

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases The average6,5,

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases The

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases Theheating oil

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases Theheating

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases9, 2015

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases9, 20155, 2015

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases9, 20155,

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases9, 20155,heating

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases9,

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases9,heating oil

  20. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil price decreases9,heating