National Library of Energy BETA

Sample records for rates tva expects

  1. TVA Partner Utilities- eScore Program

    Broader source: Energy.gov [DOE]

    The Tennessee Valley Authority (TVA) in partnership with local electric utilities offers eScore program, which provides homeowners financial incentives to increase the energy efficiency of existing...

  2. TVA- Energy Right Solutions for Business

    Broader source: Energy.gov [DOE]

    TVA offers the Energy Right Solutions Program to commercial and industrial facilities. In addition to prescriptive rebates for lighting, motors, HVAC, and kitchen equipment, administrators take a...

  3. TVA- Energy Right Solutions for Business

    Broader source: Energy.gov [DOE]

    The Tennessee Valley Authority (TVA) offers the Energy Right Solutions Program for commercial and industrial facilities.  Prescriptive rebates are available for lighting, motors, HVAC, and kitchen...

  4. TVA - Solar Solutions Initiative | Department of Energy

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

    Pumps Air conditioners CaulkingWeather-stripping DuctAir sealing Building Insulation Windows Doors Siding Roofs Program Info Sector Name Utility Website http:www.tva.com...

  5. TVA - Solar Solutions Initiative | Department of Energy

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

    Tennessee Valley Authority Website http:www.tva.comrenewablestandardofferssi.htm State Virginia Program Type Performance-Based Incentive Rebate Amount 0.04 kWh for 10...

  6. TVA- Energy Right Solutions for Business

    Broader source: Energy.gov [DOE]

    TVA offers the Energy Right Solutions Program to commercial and industrial facilities.  In addition to prescriptive rebates for lighting, motors, HVAC, and kitchen equipment, administrators take a...

  7. TVA - Green Power Providers | Department of Energy

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

    Power Providers program contract term is 20 years. For years 1-10, TVA will purchase 100% of the output from qualifying systems at a premium of 0.02** per kilowatt-hour (kWh)...

  8. TVA Partner Utilities - Energy Right Heat Pump Program | Department...

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

    Carolina Program Type Loan Program Summary The Tennessee Valley Authority (TVA) energy right Heat Pump Plan provides financing to promote the installation of high efficiency heat...

  9. TVA Partner Utilities - Energy Right Heat Pump Program | Department...

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

    Georgia Program Type Loan Program Summary The Tennessee Valley Authority (TVA) energy right Heat Pump Plan provides financing to promote the installation of high efficiency heat...

  10. TVA Partner Utilities - Energy Right Heat Pump Program | Department...

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

    Kentucky Program Type Loan Program Summary The Tennessee Valley Authority (TVA) energy right Heat Pump Plan provides financing to promote the installation of high efficiency heat...

  11. TVA Partner Utilities - Energy Right Heat Pump Program | Department...

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

    Program Type Loan Program Summary The Tennessee Valley Authority (TVA) energy right Heat Pump Plan provides financing to promote the installation of high efficiency heat...

  12. TVA Partner Utilities - Energy Right Heat Pump Program | Department...

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

    Virginia Program Type Loan Program Summary The Tennessee Valley Authority (TVA) energy right Heat Pump Plan provides financing to promote the installation of high efficiency heat...

  13. TVA Partner Utilities- Energy Right Heat Pump Program

    Broader source: Energy.gov [DOE]

    The Tennessee Valley Authority (TVA) energy right Heat Pump Plan provides financing to promote the installation of high efficiency heat pumps in homes and small businesses. Installation,...

  14. TVA Partner Utilities - Energy Right Heat Pump Program | Department...

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

    Type Loan Program Summary The Tennessee Valley Authority (TVA) energy right Heat Pump Plan provides financing to promote the installation of high efficiency heat pumps in...

  15. TVA Partner Utilities - eScore Program | Department of Energy

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

    energy efficiency of existing homes. This program replaces the previous In-Home Energy Evaluation Pilot program offered by TVA. To participate in the program, homeowner must...

  16. TVA - Mid-Sized Renewable Standard Offer Program | Department...

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

    kWh Summary The Tennessee Valley Authority (TVA) now compliments the small generation Green Power Providers Program by providing incentives for mid-sized renewable energy...

  17. Microsoft Word - TVA fact sheet Oct 17 2011

    National Nuclear Security Administration (NNSA)

    TVA at a Glance The Tennessee Valley Authority (TVA) was established by an Act of Congress in 1933 (16 U.S.C. 831-831dd) as a Federal corporation to improve the navigability of and provide flood control for the Tennessee River; to provide reforestation and ensure the proper use of marginal lands in the Tennessee Valley; to provide agricultural and industrial development of the Tennessee Valley; to provide for the national defense; and for other purposes. Today, TVA is the largest public power

  18. TVA - Mid-Sized Renewable Standard Offer Program | Department...

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

    0.036kWh Summary The Tennessee Valley Authority (TVA) now compliments the small generation Green Power Providers Program by providing incentives for mid-sized renewable energy...

  19. Microsoft Word - TVA fact sheet Oct 17 2011

    National Nuclear Security Administration (NNSA)

    diesel-generator sites (9 units) 14 solar energy sites, 1 wind-energy site 1 ... The production of tritium in a TVA reactor is consistent with the Congressional ...

  20. TVA- Mid-Sized Renewable Standard Offer Program

    Broader source: Energy.gov [DOE]

    TVA bases the standard offer for customer generators off of a seasonal time-of-day averages chart, which sets base prices for the term of the contract. For projects approved after January 2015, p...

  1. TVA- Mid-Sized Renewable Standard Offer Program

    Broader source: Energy.gov [DOE]

    The Tennessee Valley Authority (TVA) now compliments the small generation Green Power Providers Program by providing incentives for mid-sized renewable energy generators between 50kW and 20MW to...

  2. Outage project productivity improvement of TVA fossil

    SciTech Connect (OSTI)

    Picard, H.E.; Seay, C.R. Jr.

    1996-10-01

    Competition in the utility industry forces management to look closely at the cost effectiveness of power plant outage projects. At TVA Fossil and Hydro Power, innovative work measurement is proving effective as a project management tool to do more with less. Labor-hours to complete outage work scopes are reduced by some 20 to 30%, not by working harder or sacrificing safety, or quality, but by working and managing smarter. Fossil power plant outages and shutdowns are costly. They are labor-intensive construction projects, often with expanding work scope, and executed on a fast track. Outage work is inherently complex and dynamic, and often unpredictable. Many activities and tasks must be integrated, coordinated and completed safely and efficiently by multiple crafts and work groups. As a result, numerous productivity factors can influence the cost and schedule of outage completion. This provides owners, contractors and labor with unique opportunities for competitive advantage--by making radical changes in how they manage labor-hours and time.

  3. TVA - Green Power Providers | Department of Energy

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

    Years 11-20: retail electric rate 2014 Premium Rates: Solar: 0.04kWh Wind, Biomass, and Hydro: 0.03kWh Summary Note: Enrollment for 2015 was conducted from January 26th to...

  4. TVA - Green Power Providers | Department of Energy

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

    North Carolina Program Type Performance-Based Incentive Rebate Amount 1,000 upon installation Years 1-10: retail electric rate + premium payment Years 11-20: retail electric rate...

  5. Campbell Creek TVA 2010 First Year Performance Report July 1, 2009 August 31, 2010

    SciTech Connect (OSTI)

    Christian, Jeffrey E; Gehl, Anthony C; Boudreaux, Philip R; New, Joshua Ryan

    2010-10-01

    This research project was initiated by TVA in March 2008 and encompasses three houses that are of similar size, design and located within the same community - Campbell Creek, Farragut TN with simulated occupancy. This report covers the performance period from July 1, 2009 to August 31, 2010. It is the intent of TVA that this Valley Data will inform electric utilities future residential retrofit incentive program.

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

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

    TVA. Document Available for Download PDF icon CTV-1-H Rate Schedule More Documents & Publications CTVI-1-A Wholesale Power Rate Schedule CEK-1-H Wholesale Power Rate Schedule CM

  7. Concrete growth problems and remedial measures at TVA projects

    SciTech Connect (OSTI)

    Hammer, J.J.

    1984-01-01

    Most concrete structures are designed and detailed to provide for a volume decrease without excessive cracking. Occasionally, however, a concrete structure exhibits a long-term increase in volume termed concrete growth. Concrete growth may result from a variety of reactions, such as the hydration of unstable oxides included in the concrete mix, or the oxidation of minerals or from an outside attack of sulfates. The most important reaction creating concrete growth is that between minor alkali hydroxides from cement and the concrete aggregates. Two distinctly different harmful reactions have been recognized: the alkali-silicate and alkali-carbonate reactions. Concrete deteriorating from an alkali-aggregate reaction, regardless of the type, develops an obvious network of cracks called pattern or map cracking. These alkali-aggregate reactions and their accompanying concrete growth have presented numerous problems at TVA's Fontana Dam, Chickamauga Dam and lock, and Hiwassee Dam. Much has been learned about alkali-aggregate reaction since 1940. Most harmful reactions can now be prevented in proposed structures by interpreting the results of standard test methods. It is not possible, however, in existing structures to determine how far the growth phenomenon has progressed, how long the effects will have to be dealt with, or what the future effects will be. A program of close surveillance and monitoring is maintained at these projects, and problems are dealt with as they arise.

  8. Automatic UT inspection of economizer at TVA`s Paradise plant

    SciTech Connect (OSTI)

    Brophy, J.W.; Chang, P.

    1995-12-31

    In March 1995, Tennessee Valley Authority (TVA) and Southwest Research Institute (SwRi) conducted testing of a multi-element ultrasonic probe designed to inspect economizer tubing in the Paradise power plant during the spring outage. This evaluation was to determine general loss of wall thickness due to erosion/corrosion and preferential inside diameter (ID) corrosion at butt welds in straight sections of the tube. The erosion/corrosion wall loss occurs during service while the butt weld corrosion occurs out-of-service when water collects in the weld groove during outages and results in localized pitting in the weld groove. The ultrasonic (UT) probe was designed to acquire thickness measurements from the ID of the economizer tubes and to be accurate, very rapid UT inspection. To attain a high rate of speed inside the tubes, an eight-element circular array of transducers were designed into the probe head. Thickness data and location data are collected automatically by a portable computer.

  9. CU-CTVI-1-B Wholesale Power Rate Schedule | Department of Energy

    Energy Savers [EERE]

    CTVI-1-B Wholesale Power Rate Schedule CU-CTVI-1-B Wholesale Power Rate Schedule Area: Former customers of TVA System: Cumberland This rate schedule shall be available to customers (hereinafter called the Customer) who are or were formerly in the Tennessee Valley Authority (hereinafter called TVA) service area. This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell

  10. Finite element analysis of three TVA dams with alkali-aggregate reaction

    SciTech Connect (OSTI)

    Grenoble, B.A.; Meisenheimer, J.K.; Wagner, C.D.; Newell, V.A.

    1995-12-31

    Three large Tennessee Valley Authority (TVA) dams are currently experiencing problems caused by alkali-aggregate reaction (AAR). Since the fall of 1990, engineers in Stone & Webster`s Denver, Colorado office have been working with TVA to evaluate how AAR is affecting the dams and to identify measures for controlling the adverse effects of the concrete growth. This paper provides an overview of how finite element analysis is being used to understand the affects of AAR on these structures and to evaluate alternatives for minimizing the adverse effects of the concrete growth. Work on Hiwassee Dam is essentially complete, while that on the Chickamauga and Fontana Projects is still in progress. Consequently, this paper will focus primarily on Hiwassee Dam. The ongoing work on the other two projects will only be discussed briefly.

  11. TVA coal-gasification commercial demonstration plant project. Volume 5. Plant based on Koppers-Totzek gasifier. Final report

    SciTech Connect (OSTI)

    Not Available

    1980-11-01

    This volume presents a technical description of a coal gasification plant, based on Koppers-Totzek gasifiers, producing a medium Btu fuel gas product. Foster Wheeler carried out a conceptual design and cost estimate of a nominal 20,000 TPSD plant based on TVA design criteria and information supplied by Krupp-Koppers concerning the Koppers-Totzek coal gasification process. Technical description of the design is given in this volume.

  12. S.2005: This act may be cited as the TVA Customer Protection Act of 1998, introduced in the Senate of the United States, One Hundred Fifth Congress, Second Session, April 29, 1998

    SciTech Connect (OSTI)

    1998-12-31

    This Act cited as the TVA Customer Protection Act of 1998 is to amend the Federal Power Act to ensure that certain Federal power customers are provided protection by the Federal Energy Regulatory Commission, and for other purposes. The topics of the act include disposition of property; foreign operations, protections; TVA power sales; filing and full disclosure of TVA documents; applicability of the antitrust laws; savings provision, and provision of construction equipment, contracting and engineering services.

  13. Feasibility studies to rehabilitate TVA`s Chickamauga Navigation Facility due to the effects of concrete growth

    SciTech Connect (OSTI)

    Niznik, J.A.; Conner, G.G.

    1995-12-31

    Chickamauga Dam is a multi-purpose project constructed by the Tennessee Valley Authority (TVA) in the early 1940s. Shortly after construction it was evident there was an alkali-aggregate reaction taking place in the concrete structures. This reaction resulted in a phenomenon of concrete growth; i.e., unchecked expansion of the concrete which causes high stresses, cracking and movement of concrete structures, and undesirable side effects. This problem has increased in severity resulting in increased concerns about structural integrity of the dam structures and long term outages to navigation.

  14. CU-CTV-1-I Wholesale Power Rate Schedule | Department of Energy

    Energy Savers [EERE]

    CTV-1-I Wholesale Power Rate Schedule CU-CTV-1-I Wholesale Power Rate Schedule Area: Tennessee Valley Authority System: CU This rate schedule shall be available to the Tennessee Valley Authority (hereinafter called TVA). This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland

  15. CASL - CASL and TVA

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

    Bar cycles 1 through 3. The simulation will include tightly coupled neutron transport and fluid flow calculations that should allow for a very good comparison between the code...

  16. TVA- Solar Solutions Initiative

    Broader source: Energy.gov [DOE]

    Solar Solutions Initiative (SSI) is a pilot program that offers additional financial incentives for Solar PV systems participating in the Renewable Standard Offer program. Applications for new...

  17. TVA- Solar Solutions Initiative

    Broader source: Energy.gov [DOE]

    The program offers performance based incentive of $0.04/kWh for the first 10 years after the project is operational. This incentive is additional to the seasonal and time-of-day price for electri...

  18. Analysis of organizational options for the uranium enrichment enterprise in relation to asset divesture. [BPA; TVA; SYNFUELS; CONRAIL; British TELECOM; COMSTAT

    SciTech Connect (OSTI)

    Harrer, B.J.; Hattrup, M.P.; Dase, J.E.; Nicholls, A.K.

    1986-08-01

    This report presents a comparison of the characteristics of some prominent examples of independent government corporations and agencies with respect to the Department of Energy's (DOE) uranium enrichment enterprise. The six examples studied were: the Bonneville Power Administration (BPA); the Tennessee Valley Authority (TVA); the Synthetic Fuels Corporation (SYNFUELS); the Consolidated Rail Corporation (CONRAIL); the British Telecommunications Corporation (British TELECOM); and the Communications Satellite Organization (COMSAT), in order of decreasing levels of government ownership and control. They range from BPA, which is organized as an agency within DOE, to COMSAT, which is privately owned and free from almost all regulations common to government agencies. Differences in the degree of government involvement in these corporations and in many other characteristics serve to illustrate that there are no accepted standards for defining the characteristics of government corporations. Thus, historical precedent indicates considerable flexibility would be available in the development of enabling legislation to reorganize the enrichment enterprise as a government corporation or independent government agency.

  19. Expected annual electricity bill savings for various PPA price...

    Open Energy Info (EERE)

    Expected annual electricity bill savings for various PPA price options Jump to: navigation, search Impact of Utility Rates on PV Economics Bill savings tables (main section): When...

  20. Structural Genomics: Expectations and Reality

    Office of Scientific and Technical Information (OSTI)

    projects aim to expand our structural knowledge of biological macromolecules, while ... We expect that this analysis will be helpful for informing future strategy in both SG and ...

  1. Project Management Expectations for Financial Assistance Activities

    Broader source: Energy.gov [DOE]

    Memo on Project Management Expectations for Financial Assistance Activities from David K. Garman, dated June 23, 2006.

  2. Seismic Design Expectations Report | Department of Energy

    Energy Savers [EERE]

    Seismic Design Expectations Report Seismic Design Expectations Report The Seismic Design Expectations Report (SDER) is a tool that assists DOE federal project review teams in evaluating the technical sufficiency of the project seismic design activities prior to Critical Decision (CD) approvals at CD-0, CD-1, CD-2, CD-3 and CD-4. PDF icon Seismic Design Expectations Report More Documents & Publications Natural Phenomena Hazards DOE-STD 1020-2012 & DOE Handbook DOE-STD-1020-2012 DOE

  3. ARM - Guidelines : Expectations of Principal Investigators

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

    Expectations of Principal Investigators Guidelines Overview Annual Facility Call Small Field Campaigns Review Criteria Expectations for Principal Investigators Forms Propose a Campaign Instrument Support Request (ISR) Form (Word, 89KB) Documentation Steps for Submitting Field Campaign Data and Metadata Field Campaign Guidelines (PDF, 574KB) Guidelines : Expectations of Principal Investigators Abstract. An abstract for the field campaign, suitable for posting on the ARM website, is required

  4. Lowell, Massachusetts, Restaurant Exceeds Energy Savings Expectations...

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

    Exceeds Energy Savings Expectations The logo for Better Buildings Lowell. The Athenian Corner, a Greek restaurant owned by the Panagiotopoulos family, has been a familiar sight in...

  5. Lowell, Massachusetts, Restaurant Exceeds Energy Savings Expectations |

    Energy Savers [EERE]

    Department of Energy Restaurant Exceeds Energy Savings Expectations Lowell, Massachusetts, Restaurant Exceeds Energy Savings Expectations The logo for Better Buildings Lowell. The Athenian Corner, a Greek restaurant owned by the Panagiotopoulos family, has been a familiar sight in the historic district of downtown Lowell, Massachusetts, since 1974. Energy efficiency upgrades are helping the Panagiotopoulos family reduce operating costs and make their restaurant more successful. The Athenian

  6. Rate Information

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

    links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases Rate Information Current Power Rates Current Transmission Rates...

  7. Ancient galactic magnetic fields stronger than expected

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

    Ancient galactic magnetic fields Ancient galactic magnetic fields stronger than expected With powerful telescopes and sophisticated measurements, the team probed back in time to see the ancient universe as it existed some 8 to 9 billion years ago. July 23, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma

  8. Setting clear expectations for safety basis development

    SciTech Connect (OSTI)

    MORENO, M.R.

    2003-05-03

    DOE-RL has set clear expectations for a cost-effective approach for achieving compliance with the Nuclear Safety Management requirements (10 CFR 830, Nuclear Safety Rule) which will ensure long-term benefit to Hanford. To facilitate implementation of these expectations, tools were developed to streamline and standardize safety analysis and safety document development resulting in a shorter and more predictable DOE approval cycle. A Hanford Safety Analysis and Risk Assessment Handbook (SARAH) was issued to standardized methodologies for development of safety analyses. A Microsoft Excel spreadsheet (RADIDOSE) was issued for the evaluation of radiological consequences for accident scenarios often postulated for Hanford. A standard Site Documented Safety Analysis (DSA) detailing the safety management programs was issued for use as a means of compliance with a majority of 3009 Standard chapters. An in-process review was developed between DOE and the Contractor to facilitate DOE approval and provide early course correction. As a result of setting expectations and providing safety analysis tools, the four Hanford Site waste management nuclear facilities were able to integrate into one Master Waste Management Documented Safety Analysis (WM-DSA).

  9. BPA revises oversupply rate proposal

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

    comments until May 22, 2013. The rate-setting process will end with the administrator making a decision based on the record developed in the case. BPA expects to issue a final...

  10. The expected anisotropy in solid inflation

    SciTech Connect (OSTI)

    Bartolo, Nicola; Ricciardone, Angelo; Peloso, Marco; Unal, Caner E-mail: peloso@physics.umn.edu E-mail: unal@physics.umn.edu

    2014-11-01

    Solid inflation is an effective field theory of inflation in which isotropy and homogeneity are accomplished via a specific combination of anisotropic sources (three scalar fields that individually break isotropy). This results in specific observational signatures that are not found in standard models of inflation: a non-trivial angular dependence for the squeezed bispectrum, and a possibly long period of anisotropic inflation (to drive inflation, the ''solid'' must be very insensitive to any deformation, and thus background anisotropies are very slowly erased). In this paper we compute the expected level of statistical anisotropy in the power spectrum of the curvature perturbations of this model. To do so, we account for the classical background values of the three scalar fields that are generated on large (superhorizon) scales during inflation via a random walk sum, as the perturbation modes leave the horizon. Such an anisotropy is unavoidably generated, even starting from perfectly isotropic classical initial conditions. The expected level of anisotropy is related to the duration of inflation and to the amplitude of the squeezed bispectrum. If this amplitude is close to its current observational limit (so that one of the most interesting predictions of the model can be observed in the near future), we find that a level of statistical anisotropy F{sup 2} gives frozen and scale invariant vector perturbations on superhorizon scales.

  11. BPA proposes rate increase to bolster

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

    proposed a 9.6 percent average wholesale power rate increase to compensate for reduced revenue expectations from surplus power sales and to continue funding needed investments in...

  12. Rate Schedules

    Broader source: Energy.gov [DOE]

    One of the major responsibilities of Southeastern is to design, formulate, and justify rate schedules. Repayment studies prepared by the agency determine revenue requirements and appropriate rate...

  13. ARM - Expectations for Campaign Implementation and Close Out

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

    CampaignsExpectations for Campaign Implementation and Close Out Guidelines Overview Annual Facility Call Small Field Campaigns Review Criteria Expectations for Principal...

  14. Expected brine movement at potential nuclear waste repository salt sites

    SciTech Connect (OSTI)

    McCauley, V.S.; Raines, G.E.

    1987-08-01

    The BRINEMIG brine migration code predicts rates and quantities of brine migration to a waste package emplaced in a high-level nuclear waste repository in salt. The BRINEMIG code is an explicit time-marching finite-difference code that solves a mass balance equation and uses the Jenks equation to predict velocities of brine migration. Predictions were made for the seven potentially acceptable salt sites under consideration as locations for the first US high-level nuclear waste repository. Predicted total quantities of accumulated brine were on the order of 1 m/sup 3/ brine per waste package or less. Less brine accumulation is expected at domal salt sites because of the lower initial moisture contents relative to bedded salt sites. Less total accumulation of brine is predicted for spent fuel than for commercial high-level waste because of the lower temperatures generated by spent fuel. 11 refs., 36 figs., 29 tabs.

  15. TVA - Green Power Providers | Department of Energy

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

    the following qualifying resources: PV, wind, hydropower, and biomass. The long term Green Power Providers program replaces the Generation Partners* pilot program. The energy...

  16. TVA_Poster_11-G00424.pdf

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

  17. TVA - Solar Solutions Initiative | Department of Energy

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

    years after the project is operational. This incentive is additional to the seasonal and time-of-day price for electricity offered through the Renewable Standard Offer program....

  18. TVA - Green Power Providers | Department of Energy

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

    from the following qualifying resources: PV, wind, hydropower, and biomass. The long term Green Power Providers program replaces the Generation Partners* pilot program. The energy...

  19. TVA - Green Power Providers | Department of Energy

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

    these payments out over the life of the program. All new participants in the Generation Power Providers program will receive a 1,000 incentive to offset the upfront cost....

  20. Finance & Rates

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

    all of its costs in the rates it charges customers for wholesale electricity and transmission services. The agency is committed to careful cost management consistent with its...

  1. Expectations of Mentors and Mentees | Argonne National Laboratory

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

    Expectations of Mentors and Mentees MENTOR EXPECTATIONS MENTEE EXPECTATIONS M Monitors mentee's progress throughout the entire relationship Makes it happen by - developing a plan of action with mentor's advice - accomplishing the plan E Encourages the mentee to engage in the research plan that has a clear set of expectations and high standards Engages actively in the research plan with the support of the mentor N Nurtures relationship with mentee by providing guidance and direction Nurtures

  2. Quality Control, Standardization of Upgrades, and Workforce Expectations

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Workforce Peer Exchange Call Series: Quality Control, Standardization of Upgrades, and Workforce Expectations, March 27, 2014.

  3. NRC Leadership Expectations and Practices for Sustaining a High Performing

    Office of Environmental Management (EM)

    Organization | Department of Energy NRC Leadership Expectations and Practices for Sustaining a High Performing Organization NRC Leadership Expectations and Practices for Sustaining a High Performing Organization May 16, 2012 Presenter: William C. Ostendorff, NRC Commissioner Topics Covered: NRC Mission Safety Culture NRC Oversight NRC Inspection Program Technical Qualification Continuous Learning PDF icon NRC Leadership Expectations and Practices for Sustaining a High Performing Organization

  4. Scientists detect methane levels three times larger than expected...

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

    Methane levels larger over Four Corners region Scientists detect methane levels three times larger than expected over Four Corners region Study is first to show space-based...

  5. ,"Texas--State Offshore Natural Gas Plant Liquids, Expected Future...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million...

  6. ,"Texas State Offshore Dry Natural Gas Expected Future Production...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas State Offshore Dry Natural Gas Expected Future Production (Billion Cubic...

  7. ,"California State Offshore Dry Natural Gas Expected Future Production...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California State Offshore Dry Natural Gas Expected Future Production (Billion Cubic...

  8. ,"Louisiana--State Offshore Natural Gas Plant Liquids, Expected...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million...

  9. ,"California--State Offshore Natural Gas Plant Liquids, Expected...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million...

  10. ,"Louisiana State Offshore Dry Natural Gas Expected Future Production...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana State Offshore Dry Natural Gas Expected Future Production (Billion Cubic...

  11. Rates Meetings and Workshops (pbl/rates)

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

    Rate Case Workshops Other Power Rates-Related Workshops July 1, 2004 - Rates and Finances Workshop (updated June 25, 2004) (financial and rate forecasts and scenarios for FY...

  12. Household heating bills expected to be lower this winter

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

    Household heating bills expected to be lower this winter U.S. consumers are expected to pay less this winter on their home heating bills because of lower oil and natural gas prices and projected milder temperatures than last winter. In its new forecast, the U.S. Energy Information Administration said households that rely on heating oil which are mainly located in the Northeast will pay the lowest heating expenditures in 9 years down 25% from last winter as consumers are expected to save about

  13. Floating Production Systems Market Is Expected To Reach USD 38...

    Open Energy Info (EERE)

    Production Systems Market Is Expected To Reach USD 38,752.7 Million Globally By 2019 Home > Groups > Future of Condition Monitoring for Wind Turbines Wayne31jan's picture...

  14. Average summer electric power bills expected to be lowest in...

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

    of forecasted milder temperatures compared with last summer is expected to more than offset higher electricity prices. The result is lower power bills for most U.S. households...

  15. Program Evaluation: Requirements and Expectations | Department of Energy

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

    Why, What, & When to Evaluate » Program Evaluation: Requirements and Expectations Program Evaluation: Requirements and Expectations Throughout this website, emphasis is placed on evaluation as a good management practice that helps managers make informed decisions. Ideally, offices are motivated to undertake evaluation-related activities to improve program operations and/or to establish evidence to better communicate the value of the program to EERE senior management, Congress, or

  16. The Impact of Structural Genomics: Expectations and Outcomes (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect The Impact of Structural Genomics: Expectations and Outcomes Citation Details In-Document Search Title: The Impact of Structural Genomics: Expectations and Outcomes Structural Genomics (SG) projects aim to expand our structural knowledge of biological macromolecules, while lowering the average costs of structure determination. We quantitatively analyzed the novelty, cost, and impact of structures solved by SG centers, and contrast these results with traditional

  17. Indoctrinating Subcontractors into the DOE Safety Culture and Expectations

    Office of Environmental Management (EM)

    | Department of Energy Indoctrinating Subcontractors into the DOE Safety Culture and Expectations Indoctrinating Subcontractors into the DOE Safety Culture and Expectations August 2009 Presenter: Daryl Schilperoort, Washington Closure Hanford Track: 1-1 Topic Covered: Why Indoctrinate Subcontractors? WCH is limited to doing no more than 40% self performance of RCCC value (large business limitation). Many of WCH subcontracts target small businesses with limited experience in the DOE safety

  18. Current BPA Power Rates (pbl/rates)

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

    and Workshops WP-10 Rate Case WP-07 Rate Case WP-07 Supplemental Rate Case ASC Methodology Adjustments (2007-2009) Adjustments (2002-2006) Previous Rate Cases Financial...

  19. Power Rates Announcements (pbl/rates)

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

    WP-10 Rate Case WP-07 Rate Case WP-07 Supplemental Rate Case ASC Methodology Adjustments (2007-2009) Adjustments (2002-2006) Previous Rate Cases Financial Choices (2003-06) Power...

  20. Extended space expectation values in quantum dynamical system evolutions

    SciTech Connect (OSTI)

    Demiralp, Metin

    2014-10-06

    The time variant power series expansion for the expectation value of a given quantum dynamical operator is well-known and well-investigated issue in quantum dynamics. However, depending on the operator and Hamiltonian singularities this expansion either may not exist or may not converge for all time instances except the beginning of the evolution. This work focuses on this issue and seeks certain cures for the negativities. We work in the extended space obtained by adding all images of the initial wave function under the system Hamiltonians positive integer powers. This requires the introduction of certain appropriately defined weight operators. The resulting better convergence in the temporal power series urges us to call the new defined entities extended space expectation values even though they are constructed over certain weight operators and are somehow pseudo expectation values.

  1. Miscellaneous States Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Miscellaneous States Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 102 109 153 1980's 176 191 69 78 75 76 133 65 83 83 1990's 70 75 92 94 65 69 67 43 38 66 2000's 42 82 99 134 110 131 138 239 270 349 2010's 350 379 222 179 176 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  2. Miscellaneous States Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Expected Future Production (Million Barrels) Miscellaneous States Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2 1980's 3 21 2 1 2 2 3 3 1990's 2 3 6 6 7 7 7 9 8 8 2000's 7 6 8 8 8 9 11 14 14 0 2010's 9 10 12 32 350 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  3. Mississippi (with State Offshore) Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    Future Production (Million Barrels) Expected Future Production (Million Barrels) Mississippi (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5 1980's 5 5 6 6 5 4 3 3 3 3 1990's 3 3 3 3 3 3 2 2 3 3 2000's 2 2 2 2 1 2 2 3 3 4 2010's 4 6 4 3 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  4. Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 887 926 825 1980's 1,287 1,321 847 896 802 857 803 780 819 867 1990's 899 831 859 673 717 782 796 762 782 841 2000's 885 898 906 1,059 995 986 1,057 1,052 1,000 976 2010's 944 778 602 575 667 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  5. Montana Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Expected Future Production (Million Barrels) Montana Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10 1980's 16 11 18 19 18 21 16 16 11 16 1990's 15 14 12 8 8 8 7 5 5 8 2000's 3 5 6 7 6 9 10 11 11 12 2010's 11 10 10 11 14 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  6. Colorado Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Expected Future Production (Million Barrels) Colorado Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 170 1980's 183 195 174 173 142 155 127 142 162 191 1990's 152 181 193 190 210 243 254 244 235 277 2000's 288 298 329 325 362 386 382 452 612 722 2010's 879 925 705 762 813 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  7. Federal Offshore--California Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Federal Offshore--California Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 1980's 0 0 0 0 10 12 16 19 1990's 13 11 15 20 17 21 19 10 8 0 2000's 1 1 0 0 0 0 0 0 1 1 2010's 1 1 1 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  8. Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2 1980's 6 5 12 17 36 34 36 29 26 21 1990's 21 26 34 34 25 27 27 27 21 24 2000's 27 25 28 17 13 9 9 4 7 0 2010's 0 0 35 41 30 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  9. Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 151 119 77 1980's 84 69 64 49 65 55 49 49 51 46 1990's 45 38 47 50 98 92 96 96 88 84 2000's 82 84 91 79 78 77 45 108 1 7 2010's 56 6 16 15 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  10. Florida Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Expected Future Production (Million Barrels) Florida Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 21 1980's 27 17 11 17 17 14 9 16 10 1990's 8 7 8 9 18 17 22 17 18 16 2000's 11 12 14 17 12 7 3 2 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  11. Kansas Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Expected Future Production (Million Barrels) Kansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 400 1980's 387 407 300 441 422 370 437 459 342 327 1990's 311 426 442 378 396 367 336 263 331 355 2000's 303 300 261 245 267 218 204 194 175 162 2010's 195 192 174 138 186 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  12. Kentucky Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Expected Future Production (Million Barrels) Kentucky Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 26 1980's 25 25 35 31 24 27 29 23 24 15 1990's 24 24 32 25 39 42 45 47 53 69 2000's 56 72 65 65 71 69 104 88 96 101 2010's 124 88 81 95 108 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  13. Louisiana (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Louisiana (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 400 287 301 294 294 1990's 324 321 317 260 281 430 381 261 234 281 2000's 241 204 186 183 167 191 176 191 201 231 2010's 216 192 189 212 243 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  14. Louisiana State Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Louisiana State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,202 1,312 1,431 1,172 1,219 1990's 969 1,024 776 917 960 838 734 725 551 628 2000's 696 745 491 506 382 418 424 378 898 701 2010's 371 502 502 402 327 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  15. Louisiana--North Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Expected Future Production (Million Barrels) Louisiana--North Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 54 1980's 59 63 59 50 38 47 39 33 39 40 1990's 38 38 41 38 48 55 61 50 34 36 2000's 35 35 30 48 53 57 60 69 68 98 2010's 79 54 35 52 83 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  16. Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 413 1980's 273 291 258 289 225 222 220 235 228 215 1990's 249 242 229 201 214 359 284 199 187 222 2000's 178 128 119 100 87 103 94 97 78 90 2010's 113 94 134 144 145 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  17. Louisiana--State Offshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Louisiana--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 46 28 33 27 39 1990's 37 41 47 21 19 16 36 12 13 23 2000's 28 41 37 35 27 31 22 25 55 43 2010's 24 44 20 16 15 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  18. Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 363 382 350 331 337 1990's 295 329 295 309 309 239 245 389 370 427 2000's 515 486 511 364 423 416 399 369 321 302 2010's 341 355 405 335 399 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  19. Michigan Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Expected Future Production (Million Barrels) Michigan Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 102 1980's 102 93 91 99 77 62 77 90 82 79 1990's 66 54 52 44 43 38 48 45 43 42 2000's 32 41 42 44 44 36 36 50 58 43 2010's 48 38 26 27 24 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  20. Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 31 1980's 33 25 35 50 48 39 38 34 36 38 1990's 48 35 53 55 51 48 52 34 31 57 2000's 104 32 28 33 29 31 41 32 92 55 2010's 68 68 55 51 59 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  1. Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 13 1980's 11 10 9 8 0 382 381 418 401 380 1990's 340 360 347 321 301 306 337 631 320 299 2000's 277 405 405 387 369 352 338 325 312 299 2010's 288 288 288 288 241 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  2. Arkansas Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Expected Future Production (Million Barrels) Arkansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 16 1980's 15 15 12 9 10 9 15 15 11 8 1990's 7 3 2 2 3 3 2 3 3 3 2000's 3 3 3 2 2 2 2 2 1 2 2010's 2 3 3 4 5 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  3. California (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) California (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 107 1980's 109 73 146 139 128 124 118 109 1990's 101 87 94 98 86 88 89 92 71 97 2000's 100 75 95 101 121 135 130 126 113 129 2010's 114 94 99 102 112 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  4. California - Coastal Region Onshore Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) California - Coastal Region Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 334 350 365 1980's 299 306 362 381 265 256 255 238 215 222 1990's 217 216 203 189 194 153 156 164 106 192 2000's 234 177 190 167 189 268 206 205 146 163 2010's 173 165 290 266 261 - = No Data Reported; -- = Not

  5. California - Los Angeles Basin Onshore Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) California - Los Angeles Basin Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 255 178 163 1980's 193 154 96 107 156 181 142 148 151 137 1990's 106 115 97 102 103 111 109 141 149 168 2000's 193 187 207 187 174 176 153 144 75 84 2010's 87 97 93 86 80 - = No Data Reported; -- = Not Applicable;

  6. California State Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) California State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 114 213 231 1980's 164 254 252 241 231 1990's 192 59 63 64 61 59 49 56 44 76 2000's 91 85 92 83 86 90 90 82 57 57 2010's 66 82 66 75 76 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  7. California--Coastal Region Onshore Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    Future Production (Million Barrels) Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) California--Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 22 1980's 23 14 16 17 14 15 15 13 13 11 1990's 12 11 9 10 9 7 9 9 9 31 2000's 27 16 17 15 19 16 22 14 10 10 2010's 11 12 18 13 12

  8. California--State Offshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) California--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2 1980's 1 2 6 5 2 2 2 3 1990's 2 1 1 1 1 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  9. Texas State Offshore Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,111 1,065 732 627 561 605 1990's 458 475 348 335 230 313 292 289 348 418 2000's 398 467 437 456 321 265 305 261 219 164 2010's 131 118 94 59 42 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  10. New Mexico Natural Gas Plant Liquids, Expected Future Production (Million

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

    Barrels) Liquids, Expected Future Production (Million Barrels) New Mexico Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 465 1980's 478 496 475 495 462 395 514 708 926 863 1990's 915 840 994 925 946 881 998 814 876 896 2000's 804 794 779 824 805 781 804 788 726 715 2010's 764 776 662 679 789 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  11. North Dakota Dry Natural Gas Expected Future Production (Billion Cubic

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

    Feet) Expected Future Production (Billion Cubic Feet) North Dakota Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 361 374 439 1980's 537 581 629 600 566 569 541 508 541 561 1990's 586 472 496 525 507 463 462 479 447 416 2000's 433 443 471 448 417 453 479 511 541 1,079 2010's 1,667 2,381 3,569 5,420 6,034 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  12. North Dakota Natural Gas Plant Liquids, Expected Future Production (Million

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

    Barrels) Liquids, Expected Future Production (Million Barrels) North Dakota Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 33 1980's 42 52 53 54 57 59 53 53 40 48 1990's 50 47 54 46 46 44 40 40 41 46 2000's 47 50 41 40 39 45 51 54 51 104 2010's 157 193 297 466 540 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  13. Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million

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

    Barrels) Liquids, Expected Future Production (Million Barrels) Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 511 1980's 537 565 667 740 683 731 768 702 686 586 1990's 592 567 566 575 592 605 615 610 613 667 2000's 639 605 601 582 666 697 732 797 870 985 2010's 1,270 1,445 1,452 1,408 1,752 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  14. Wyoming Natural Gas Plant Liquids, Expected Future Production (Million

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

    Barrels) Liquids, Expected Future Production (Million Barrels) Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 822 887 1,010 2010's 1,001 1,122 1,064 894 881 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Natural Gas Plant Liquids

  15. Utah Natural Gas Plant Liquids, Expected Future Production (Million

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

    Barrels) Liquids, Expected Future Production (Million Barrels) Utah Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 56 54 116 2010's 132 196 181 169 206 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Natural Gas Plant Liquids Proved

  16. Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) and Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 280 1980's 294 363 381 483 577 681 700 701 932 704 1990's 641 580 497 458 440 503 639 680 600 531 2000's 858 782 806 756 765 710 686 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  17. West Virginia Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Liquids, Expected Future Production (Million Barrels) West Virginia Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 74 1980's 97 84 78 90 79 86 87 86 92 99 1990's 85 102 96 107 93 61 60 70 71 72 2000's 104 105 98 67 84 84 109 114 97 108 2010's 122 140 199 320 1,229 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  18. Current Power Rates

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

    links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases Rate Information Current Power Rates Current Transmission Rates...

  19. Current Transmission Rates

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

    links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases Rate Information Current Power Rates Current Transmission Rates...

  20. Previous Power Rates

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

    links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases Rate Information Current Power Rates Current Transmission Rates...

  1. Previous Transmission Rates

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

    links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases Rate Information Current Power Rates Current Transmission Rates...

  2. PNCA-02 Rate Case (rates/ratecases)

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

    Proposed Adjustment to the Rate for Interchange Energy Imbalances Under the Pacific Northwest Coordination Agreement (PNCA-02 Rate Case) (updated on April 26, 2002) BPA has issued...

  3. Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,437 1,635 1,504 1980's 1,769 2,035 1,796 1,596 1,491 1,360 1,300 1,220 1,143 1,104 1990's 1,126 1,057 869 797 650 663 631 582 658 677 2000's 618 661 744 746 691 755 813 954 1,030 917 2010's 853 860 607 595 558 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  4. Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 451 545 468 1980's 508 530 551 554 613 766 841 909 923 992 1990's 1,016 1,155 1,084 1,003 969 1,044 983 1,364 1,222 1,435 2000's 1,760 1,860 1,907 1,889 1,880 2,151 2,227 2,469 2,714 2,782 2010's 2,613 2,006 1,408 1,663 1,611 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  5. Louisiana - South Onshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Louisiana - South Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 18,580 17,755 13,994 1980's 13,026 12,645 11,801 11,142 10,331 9,808 9,103 8,693 8,654 8,645 1990's 8,171 7,504 6,693 5,932 6,251 5,648 5,704 5,855 5,698 5,535 2000's 5,245 5,185 4,224 3,745 3,436 3,334 3,335 3,323 2,799 2,844 2010's

  6. Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 19,117 12,930 12,430 12,224 12,516 1990's 11,728 10,912 9,780 9,174 9,748 9,274 9,543 9,673 9,147 9,242 2000's 9,239 9,811 8,960 9,325 9,588 10,447 10,474 10,045 11,573 20,688 2010's 29,277 30,358 21,949 20,164 22,975 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  7. Lower 48 States Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Expected Future Production (Million Barrels) Lower 48 States Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,191 1980's 5,187 5,478 5,611 6,280 6,121 6,109 6,348 6,327 6,448 6,000 1990's 5,944 5,860 5,878 5,709 5,722 5,896 6,179 6,001 5,868 6,112 2000's 6,596 6,190 6,243 5,857 6,338 6,551 6,795 7,323 7,530 8,258 2010's 9,521 10,537 10,489 11,655 14,788 - = No Data

  8. Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,386 1,422 1,204 1980's 1,406 1,118 1,084 1,219 1,112 985 1,139 1,451 1,323 1,342 1990's 1,243 1,334 1,223 1,160 1,323 1,294 2,061 2,195 2,328 2,255 2000's 2,729 2,976 3,254 3,428 3,091 2,910 3,065 3,630 3,174 2,763 2010's 2,919 2,505 1,750 1,807 1,845 - = No Data Reported; -- = Not

  9. Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 530 514 652 1980's 636 648 1990's 4,125 5,414 5,802 5,140 4,830 4,868 5,033 4,968 4,604 4,287 2000's 4,149 3,915 3,884 4,301 4,120 3,965 3,911 3,994 3,290 2,871 2010's 2,629 2,475 2,228 1,597 2,036 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  10. California - San Joaquin Basin Onshore Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) California - San Joaquin Basin Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,784 3,960 3,941 1980's 4,344 4,163 3,901 3,819 3,685 3,574 3,277 3,102 2,912 2,784 1990's 2,670 2,614 2,415 2,327 2,044 1,920 1,768 1,912 1,945 1,951 2000's 2,331 2,232 2,102 2,013 2,185 2,694 2,345 2,309 2,128

  11. California Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) California Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,487 4,701 4,700 1980's 5,000 3,928 3,740 3,519 3,374 1990's 3,185 3,004 2,778 2,682 2,402 2,243 2,082 2,273 2,244 2,387 2000's 2,849 2,681 2,591 2,450 2,634 3,228 2,794 2,740 2,406 2,773 2010's 2,647 2,934 1,999 1,887 2,107 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  12. California Federal Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) California Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 250 246 322 1980's 414 1,325 1,452 1,552 1,496 1990's 1,454 1,162 1,118 1,099 1,170 1,265 1,244 544 480 536 2000's 576 540 515 511 459 824 811 805 704 739 2010's 724 710 651 261 240 - = No Data Reported; -- = Not Applicable; NA = Not

  13. Texas (with State Offshore) Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,125 1980's 2,081 2,285 2,393 2,650 2,660 2,610 2,671 2,509 2,339 2,270 1990's 2,305 2,237 2,162 2,211 2,151 2,269 2,337 2,376 2,262 2,257 2000's 2,479 2,318 2,368 2,192 2,466 2,723 2,913 3,158 3,148 3,432 2010's 3,983

  14. Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 43,591 43,264 40,574 38,711 38,167 38,381 1990's 38,192 36,174 35,093 34,718 35,974 36,542 38,270 37,761 37,584 40,157 2000's 42,082 43,527 44,297 45,730 49,955 56,507 61,836 72,091 77,546 80,424 2010's 88,997 98,165 86,924 90,349 97,154 - = No Data Reported; -- = Not Applicable; NA = Not

  15. Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 495 684 1,479 1980's 1,699 965 1,141 2,030 1,541 1,331 1,420 1,069 1,229 1,275 1990's 1,214 1,181 1,161 1,104 1,094 1,054 1,113 985 890 1,179 2000's 1,185 970 1,117 1,126 974 898 975 1,027 985 896 2010's 832 758 1,233 3,161 6,723 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  16. Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 13,889 14,417 13,816 1980's 13,138 14,699 16,207 16,211 16,126 16,040 16,685 16,711 16,495 15,916 1990's 16,151 14,725 13,926 13,289 13,487 13,438 13,074 13,439 13,645 12,543 2000's 13,699 13,558 14,886 15,401 16,238 17,123 17,464 19,031 20,845 22,769 2010's 26,345 27,830 26,599 26,873 31,778 -

  17. Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic

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

    Feet) Expected Future Production (Billion Cubic Feet) Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 769 899 1,515 1980's 951 1,264 1,429 1,882 1,575 1,617 1,560 1,647 2,072 1,642 1990's 1,720 1,629 1,528 1,717 1,800 1,482 1,696 1,852 1,840 1,772 2000's 1,741 1,775 2,216 2,487 2,361 2,782 3,050 3,361 3,577 6,985 2010's 13,960 26,529 36,348 49,674 59,873 - = No Data Reported; -- =

  18. Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6,305 7,211 7,526 1980's 9,100 9,307 9,758 10,227 10,482 10,617 9,756 10,023 10,308 10,744 1990's 9,944 9,941 10,826 10,933 10,879 12,166 12,320 13,562 13,650 14,226 2000's 16,158 18,398 20,527 21,744 22,632 23,774 23,549 29,710 31,143 35,283 2010's 35,074 35,290 30,094 33,618 27,553 - = No Data

  19. Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 877 925 948 1980's 1,201 1,912 2,161 2,333 2,080 1,999 1,895 1,947 1,298 1,507 1990's 1,510 1,702 1,830 2,040 1,789 1,580 1,633 1,839 2,388 3,213 2000's 4,235 4,579 4,135 3,516 3,866 4,295 5,146 6,391 6,643 7,257 2010's 6,981 7,857 7,548 6,829 6,685 - = No Data Reported; -- = Not Applicable; NA =

  20. Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 122 175 216 235 253 248 230 217 1990's 138 225 904 1,322 1,833 1,836 1,930 2,446 1,973 2,017 2000's 1,704 1,752 1,673 1,717 1,742 2,018 2,302 2,529 2,378 3,091 2010's 3,215 2,832 2,579 2,373 2,800 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  1. Rate Case Elements

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

    Proceeding Rate Information Residential Exchange Program Surplus Power Sales Reports Rate Case Elements BPA's rate cases are decided "on the record." That is, in making a decision...

  2. Power Rate Cases (pbl/rates)

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

    Choices (2003-06) Power Function Review (PFR) Firstgov Power Rate Cases BPA's wholesale power rates are set to recover its costs and repay the U.S. Treasury for the Federal...

  3. Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 11,457 10,992 10,243 1980's 9,508 9,860 9,724 9,553 9,387 9,337 10,509 10,494 10,104 10,091 1990's 9,614 9,358 9,681 9,348 9,156 8,571 7,694 6,989 6,402 5,753 2000's 5,299 5,101 4,983 4,819 4,652 4,314 3,931 3,982 3,557 3,279 2010's 3,673 3,486 3,308 3,592 4,359 - = No Data Reported; -- = Not

  4. Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,135 3,203 2,798 1980's 3,076 3,270 2,912 2,939 2,494 2,587 2,515 2,306 2,398 2,652 1990's 2,588 2,384 2,311 2,325 2,537 2,788 3,105 3,093 2,898 3,079 2000's 3,298 3,881 4,245 5,074 5,770 6,695 6,715 6,344 7,876 17,143 2010's 26,030 27,337 18,418 17,044

  5. Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 32,243 32,045 32,259 1980's 33,382 33,037 34,990 34,283 34,476 33,847 32,664 33,225 9,078 8,939 1990's 9,300 9,553 9,638 9,907 9,733 9,497 9,294 10,562 9,927 9,734 2000's 9,237 8,800 8,468 8,285 8,407 8,171 10,245 11,917 7,699 9,101 2010's 8,838 9,424 9,579 7,316 6,745 - = No Data Reported; -- =

  6. Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,660 1,681 1,703 1980's 1,774 1,801 1,958 2,069 2,227 2,019 1,992 1,997 1,986 1,772 1990's 1,731 1,669 1,750 1,552 1,607 1,563 1,470 1,475 1,328 1,542 2000's 1,581 1,616 1,650 1,663 1,835 1,964 2,269 3,305 5,626 10,869 2010's 14,178 16,370 11,035 13,518 12,789 - = No Data Reported; -- = Not

  7. Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,512 2,765 2,608 1980's 2,922 2,961 3,314 3,148 2,943 2,881 3,027 2,942 3,535 4,274 1990's 4,555 5,767 6,198 6,722 6,753 7,256 7,710 6,828 7,881 8,987 2000's 10,428 12,527 13,888 15,436 14,743 16,596 17,149 21,851 23,302 23,058 2010's 24,119 24,821 20,666 22,381 20,851 - = No Data Reported; --

  8. West Virginia Dry Natural Gas Expected Future Production (Billion Cubic

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

    Feet) Expected Future Production (Billion Cubic Feet) West Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,567 1,634 1,558 1980's 2,422 1,834 2,148 2,194 2,136 2,058 2,148 2,242 2,306 2,201 1990's 2,207 2,528 2,356 2,439 2,565 2,499 2,703 2,846 2,868 2,936 2000's 2,900 2,678 3,360 3,306 3,397 4,459 4,509 4,729 5,136 5,946 2010's 7,000 10,345 14,611 22,765 29,432 - = No Data

  9. Chlorite Dissolution Rates

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

    Carroll, Susan

    2013-07-01

    Spreadsheets provides measured chlorite rate data from 100 to 300C at elevated CO2. Spreadsheet includes derived rate equation.

  10. Chlorite Dissolution Rates

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

    Carroll, Susan

    Spreadsheets provides measured chlorite rate data from 100 to 300C at elevated CO2. Spreadsheet includes derived rate equation.

  11. Siting Samplers to Minimize Expected Time to Detection

    SciTech Connect (OSTI)

    Walter, Travis; Lorenzetti, David M.; Sohn, Michael D.

    2012-05-02

    We present a probabilistic approach to designing an indoor sampler network for detecting an accidental or intentional chemical or biological release, and demonstrate it for a real building. In an earlier paper, Sohn and Lorenzetti(1) developed a proof of concept algorithm that assumed samplers could return measurements only slowly (on the order of hours). This led to optimal detect to treat architectures, which maximize the probability of detecting a release. This paper develops a more general approach, and applies it to samplers that can return measurements relatively quickly (in minutes). This leads to optimal detect to warn architectures, which minimize the expected time to detection. Using a model of a real, large, commercial building, we demonstrate the approach by optimizing networks against uncertain release locations, source terms, and sampler characteristics. Finally, we speculate on rules of thumb for general sampler placement.

  12. Microsoft Word - 17 13 Overuspply rate supplemental initial proposal...

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

    comments until May 22, 2013. The rate-setting process will end with the administrator making a decision based on the record developed in the case. BPA expects to issue a final...

  13. Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics

    SciTech Connect (OSTI)

    Aad, G.; Abat, E.; Abbott, B.; Abdallah, J.; Abdelalim, A.A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Acharya, Bobby Samir; Adams, D.L.; Addy, T.N.; Adorisio, C.; Adragna, P.; Adye, T.; Aguilar-Saavedra, J.A.; Aharrouche, M.; Ahlen, S.P.; Ahles, F.; Ahmad, A.; /SUNY, Albany /Alberta U. /Ankara U. /Annecy, LAPP /Argonne /Arizona U. /Texas U., Arlington /Athens U. /Natl. Tech. U., Athens /Baku, Inst. Phys. /Barcelona, IFAE /Belgrade U. /VINCA Inst. Nucl. Sci., Belgrade /Bergen U. /LBL, Berkeley /Humboldt U., Berlin /Bern U., LHEP /Birmingham U. /Bogazici U. /INFN, Bologna /Bologna U.

    2011-11-28

    The Large Hadron Collider (LHC) at CERN promises a major step forward in the understanding of the fundamental nature of matter. The ATLAS experiment is a general-purpose detector for the LHC, whose design was guided by the need to accommodate the wide spectrum of possible physics signatures. The major remit of the ATLAS experiment is the exploration of the TeV mass scale where groundbreaking discoveries are expected. In the focus are the investigation of the electroweak symmetry breaking and linked to this the search for the Higgs boson as well as the search for Physics beyond the Standard Model. In this report a detailed examination of the expected performance of the ATLAS detector is provided, with a major aim being to investigate the experimental sensitivity to a wide range of measurements and potential observations of new physical processes. An earlier summary of the expected capabilities of ATLAS was compiled in 1999 [1]. A survey of physics capabilities of the CMS detector was published in [2]. The design of the ATLAS detector has now been finalised, and its construction and installation have been completed [3]. An extensive test-beam programme was undertaken. Furthermore, the simulation and reconstruction software code and frameworks have been completely rewritten. Revisions incorporated reflect improved detector modelling as well as major technical changes to the software technology. Greatly improved understanding of calibration and alignment techniques, and their practical impact on performance, is now in place. The studies reported here are based on full simulations of the ATLAS detector response. A variety of event generators were employed. The simulation and reconstruction of these large event samples thus provided an important operational test of the new ATLAS software system. In addition, the processing was distributed world-wide over the ATLAS Grid facilities and hence provided an important test of the ATLAS computing system - this is the origin of the expression 'CSC studies' ('computing system commissioning'), which is occasionally referred to in these volumes. The work reported does generally assume that the detector is fully operational, and in this sense represents an idealised detector: establishing the best performance of the ATLAS detector with LHC proton-proton collisions is a challenging task for the future. The results summarised here therefore represent the best estimate of ATLAS capabilities before real operational experience of the full detector with beam. Unless otherwise stated, simulations also do not include the effect of additional interactions in the same or other bunch-crossings, and the effect of neutron background is neglected. Thus simulations correspond to the low-luminosity performance of the ATLAS detector. This report is broadly divided into two parts: firstly the performance for identification of physics objects is examined in detail, followed by a detailed assessment of the performance of the trigger system. This part is subdivided into chapters surveying the capabilities for charged particle tracking, each of electron/photon, muon and tau identification, jet and missing transverse energy reconstruction, b-tagging algorithms and performance, and finally the trigger system performance. In each chapter of the report, there is a further subdivision into shorter notes describing different aspects studied. The second major subdivision of the report addresses physics measurement capabilities, and new physics search sensitivities. Individual chapters in this part discuss ATLAS physics capabilities in Standard Model QCD and electroweak processes, in the top quark sector, in b-physics, in searches for Higgs bosons, supersymmetry searches, and finally searches for other new particles predicted in more exotic models.

  14. Why the Earth has not warmed as much as expected?

    SciTech Connect (OSTI)

    Schwartz, S.E.

    2010-05-01

    The observed increase in global mean surface temperature (GMST) over the industrial era is less than 40% of that expected from observed increases in long-lived greenhouse gases together with the best-estimate equilibrium climate sensitivity given by the 2007 Assessment Report of the Intergovernmental Panel on Climate Change. Possible reasons for this warming discrepancy are systematically examined here. The warming discrepancy is found to be due mainly to some combination of two factors: the IPCC best estimate of climate sensitivity being too high and/or the greenhouse gas forcing being partially offset by forcing by increased concentrations of atmospheric aerosols; the increase in global heat content due to thermal disequilibrium accounts for less than 25% of the discrepancy, and cooling by natural temperature variation can account for only about 15%. Current uncertainty in climate sensitivity is shown to preclude determining the amount of future fossil fuel CO2 emissions that would be compatible with any chosen maximum allowable increase in GMST; even the sign of such allowable future emissions is unconstrained. Resolving this situation, by empirical determination of the earth's climate sensitivity from the historical record over the industrial period or through use of climate models whose accuracy is evaluted by their performance over this period, is shown to require substantial reduction in the uncertainty of aerosol forcing over this period.

  15. Why hasn't earth warmed as much as expected?

    SciTech Connect (OSTI)

    Schwartz, S.E.; Charlson, R.; Kahn, R.; Ogren, J.; Rodhe, H.

    2010-03-15

    The observed increase in global mean surface temperature (GMST) over the industrial era is less than 40% of that expected from observed increases in long-lived greenhouse gases together with the best-estimate equilibrium climate sensitivity given by the 2007 Assessment Report of the Intergovernmental Panel on Climate Change. Possible reasons for this warming discrepancy are systematically examined here. The warming discrepancy is found to be due mainly to some combination of two factors: the IPCC best estimate of climate sensitivity being too high and/or the greenhouse gas forcing being partially offset by forcing by increased concentrations of atmospheric aerosols; the increase in global heat content due to thermal disequilibrium accounts for less than 25% of the discrepancy, and cooling by natural temperature variation can account for only about 15%. Current uncertainty in climate sensitivity is shown to preclude determining the amount of future fossil fuel CO2 emissions that would be compatible with any chosen maximum allowable increase in GMST; even the sign of such allowable future emissions is unconstrained. Resolving this situation by empirical determination of Earths climate sensitivity from the historical record over the industrial period or through use of climate models whose accuracy is evaluated by their performance over this period is shown to require substantial reduction in the uncertainty of aerosol forcing over this period.

  16. BP-18 Rate Proceeding

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

    Skip navigation links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases BP-18 Rate Case Related Publications Meetings...

  17. BP-12 Rate Case

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

    Skip navigation links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases BP-18 Rate Case Related Publications Meetings...

  18. BP-16 Rate Case

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

    Skip navigation links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases BP-18 Rate Case Related Publications Meetings...

  19. Before a Rate Case

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

    links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases BP-18 Rate Case Related Publications Meetings and Workshops Customer...

  20. Rating Agency Reports

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

    Liabilities Financial Plan Financial Public Processes Asset Management Cost Verification Process Rate Cases Rate Information Residential Exchange Program Surplus Power Sales...

  1. 2012 Transmission Rate Schedules

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

    2014 Transmission, Ancillary, and Control Area Service Rate Schedules and General Rate Schedule Provisions (FY 2014-2015) October 2013 United States Department of Energy...

  2. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    SciTech Connect (OSTI)

    Goldman, Charles; Fuller, Merrian C.; Stuart, Elizabeth; Peters, Jane S.; McRae, Marjorie; Albers, Nathaniel; Lutzenhiser, Susan; Spahic, Mersiha

    2010-03-22

    The energy efficiency services sector (EESS) is poised to become an increasingly important part of the U.S. economy. Climate change and energy supply concerns, volatile and increasing energy prices, and a desire for greater energy independence have led many state and national leaders to support an increasingly prominent role for energy efficiency in U.S. energy policy. The national economic recession has also helped to boost the visibility of energy efficiency, as part of a strategy to support economic recovery. We expect investment in energy efficiency to increase dramatically both in the near-term and through 2020 and beyond. This increase will come both from public support, such as the American Recovery and Reinvestment Act (ARRA) and significant increases in utility ratepayer funds directed toward efficiency, and also from increased private spending due to codes and standards, increasing energy prices, and voluntary standards for industry. Given the growing attention on energy efficiency, there is a concern among policy makers, program administrators, and others that there is an insufficiently trained workforce in place to meet the energy efficiency goals being put in place by local, state, and federal policy. To understand the likelihood of a potential workforce gap and appropriate response strategies, one needs to understand the size, composition, and potential for growth of the EESS. We use a bottom-up approach based upon almost 300 interviews with program administrators, education and training providers, and a variety of EESS employers and trade associations; communications with over 50 sector experts; as well as an extensive literature review. We attempt to provide insight into key aspects of the EESS by describing the current job composition, the current workforce size, our projections for sector growth through 2020, and key issues that may limit this growth.

  3. TVA - Solar Solutions Initiative (Georgia) | Open Energy Information

    Open Energy Info (EERE)

    Weather-stripping, DuctAir sealing, Building Insulation, Windows, Doors, Siding, Roofs, Photovoltaics Active Incentive Yes Implementing Sector Utility Energy Category Renewable...

  4. TVA - Solar Solutions Initiative (Kentucky) | Open Energy Information

    Open Energy Info (EERE)

    Weather-stripping, DuctAir sealing, Building Insulation, Windows, Doors, Siding, Roofs, Photovoltaics Active Incentive Yes Implementing Sector Utility Energy Category Renewable...

  5. TVA - Mid-Sized Renewable Standard Offer Program | Department...

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

    generation Green Power Providers Program by providing incentives for mid-sized renewable energy generators between 50kW and 20MW to enter into long term price contracts. The goal...

  6. TVA Partner Utilities - eScore Program | Department of Energy

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

    Program Info Sector Name Utility Website http:energyright.comresidentialescore.html State Mississippi Program Type Rebate Program Rebate Amount Attic Insulation - 250...

  7. TVA Partner Utilities - eScore Program | Department of Energy

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

    - 150Unit (No Limit) Geothermal Heat Pump Replacement - 500Unit (No Limit) Dual Fuel Heat Pump Replacement - 250Unit (No Limit) Subsidized Energy Audit Price- 75...

  8. TVA Partner Utilities - eScore Program | Department of Energy

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

    - 150Unit (No Limit) Geothermal Heat Pump Replacement - 500Unit (No Limit) Dual Fuel Heat Pump Replacement - 250Unit (No Limit) Energy Audit- 75 Summary The...

  9. TVA - Mid-Sized Renewable Standard Offer Program | Department...

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

    Kentucky Program Type Performance-Based Incentive Rebate Amount Seasonal and time-of-day prices are set at the date of execution of the contract agreement. Typical pricing for...

  10. TVA - Mid-Sized Renewable Standard Offer Program | Department...

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

    Tennessee Program Type Performance-Based Incentive Rebate Amount Seasonal and time-of-day prices are set at the date of execution of the contract agreement. Typical pricing for...

  11. What to Expect When Readying to Move Spent Nuclear Fuel from...

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

    What to Expect When Readying to Move Spent Nuclear Fuel from Commercial Nuclear Power Plants What to Expect When Readying to Move Spent Nuclear Fuel from Commercial Nuclear Power ...

  12. Cumberland System | Department of Energy

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

    Schedules Cumberland System Cumberland System October 1, 2011 CTVI-1-A Wholesale Power Rate Schedule Area: Former customers of TVA System: Cumberland October 1, 2011 CTV-1-H...

  13. Resonant thermonuclear reaction rate

    SciTech Connect (OSTI)

    Haubold, H.J.; Mathai, A.M.

    1986-08-01

    Basic physical principles for the resonant and nonresonant thermonuclear reaction rates are applied to find their standard representations for nuclear astrophysics. Closed-form representations for the resonant reaction rate are derived in terms of Meijer's G-italic-function. Analytic representations of the resonant and nonresonant nuclear reaction rates are compared and the appearance of Meijer's G-italic-function is discussed in physical terms.

  14. Improving Entrainment Rate Parameterization

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

    Entrainment Rate Parameterization For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Parameterization of entrainment rate is critical for improving representation of cloud- and convection-related processes in climate models; however, much remains unclear. This work seeks to improve understanding and parameterization of entrainment rate by use of aircraft observations and large-eddy simulations of shallow cumulus clouds over

  15. LCC Guidance Rates

    Broader source: Energy.gov [DOE]

    Notepad text file provides the LCC guidance rates in a numbered format for the various regions throughout the U.S.

  16. Draft Tiered Rate Methodology

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

    For Regional Dialogue Discussion Purposes Only Pre-Decisional Draft Tiered Rates Methodology March 7, 2008 Pre-decisional, Deliberative, For Discussion Purposes Only March 7,...

  17. 2007-2009 Power Rate Adjustments (pbl/rates)

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

    Function Review (PFR) Firstgov FY 2007 2009 Power Rate Adjustments BPA's 2007-2009 Wholesale Power Rate Schedules and General Rate Schedule Provisions (GRSPs) took effect on...

  18. WP-07 Power Rate Case (rates/ratecases)

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

    Meetings & Workshops Rate Case Parties Web Site WP-07 Supplemental Rate Case ASC Methodology Adjustments (2007-2009) Adjustments (2002-2006) Previous Rate Cases Financial...

  19. Microsoft PowerPoint - Snippet 4.9 High Level EVM Expectations 20140711 [Compatibility Mode]

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

    focuses on the DOE Federal Project Director's expectations of the contractor's earned value management system and the resultant EVM data. The high-level EVM expectations presented in this Snippet will cover these areas: EVM concepts and objectives, the scheduling and budgeting process, work authorization, level of effort concerns, variance analysis and reporting, evaluation of the contractor's estimate at completion, baseline control and revisions, and a synopsis of expectations. The requirement

  20. Radiation Leukemogenesis at Low Dose Rates

    SciTech Connect (OSTI)

    Weil, Michael; Ullrich, Robert

    2013-09-25

    The major goals of this program were to study the efficacy of low dose rate radiation exposures for the induction of acute myeloid leukemia (AML) and to characterize the leukemias that are caused by radiation exposures at low dose rate. An irradiator facility was designed and constructed that allows large numbers of mice to be irradiated at low dose rates for protracted periods (up to their life span). To the best of our knowledge this facility is unique in the US and it was subsequently used to study radioprotectors being developed for radiological defense (PLoS One. 7(3), e33044, 2012) and is currently being used to study the role of genetic background in susceptibility to radiation-induced lung cancer. One result of the irradiation was expected; low dose rate exposures are ineffective in inducing AML. However, another result was completely unexpected; the irradiated mice had a very high incidence of hepatocellular carcinoma (HCC), approximately 50%. It was unexpected because acute exposures are ineffective in increasing HCC incidence above background. This is a potential important finding for setting exposure limits because it supports the concept of an 'inverse dose rate effect' for some tumor types. That is, for the development of some tumor types low dose rate exposures carry greater risks than acute exposures.

  1. [FIXED RATE GUARANTEED OBLIGATIONS]

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

    FIXED RATE GUARANTEED OBLIGATIONS] Draft Date: May 09, 2011 AMR-306688-v5 81-40475664 DATED AS OF [______], 20[__] AMONG THE HOLDERS IDENTIFIED HEREIN, THEIR SUCCESSORS AND PERMITTED ASSIGNS, AND THE UNITED STATES DEPARTMENT OF ENERGY, AS GUARANTOR, AND [_____________________________], AS ADMINISTRATIVE AGENT LOAN GUARANTEE AGREEMENT _____________________________ DOE FIPP Guarantee No. [______] ______________________________ AMR-306688-v5 - i - 81-40475664 CONTENTS Clause Page Section 1.

  2. DWPF Macrobatch 2 Melt Rate Tests

    SciTech Connect (OSTI)

    Stone, M.E.

    2001-01-03

    The Defense Waste Processing Facility (DWPF) canister production rate must be increased to meet canister production goals. Although a number of factors exist that could potentially increase melt rate, this study focused on two: (1) changes in frit composition and (2) changes to the feed preparation process to alter the redox of the melter feed. These two factors were investigated for Macrobatch 2 (sludge batch 1B) utilizing crucible studies and a specially designed ''melt rate'' furnace. Other potential factors that could increase melt rate include: mechanical mixing via stirring or the use of bubblers, changing the power skewing to redistribute the power input to the melter, and elimination of heat loss (e.g. air in leakage). The melt rate testing in FY00 demonstrated that melt rate can be improved by adding a different frit or producing a much more reducing glass by the addition of sugar as a reductant. The frit that melted the fastest in the melt rate testing was Frit 165. A paper stud y was performed using the Product Composition Control System (PCCS) to determine the impact on predicted glass viscosity, liquidus, durability, and operating window if the frit was changed from Frit 200 to Frit 165. PCCS indicated that the window was very similar for both frits. In addition, the predicted viscosity of the frit 165 glass was 46 poise versus 84 poise for the Frit 200 glass. As a result, a change from Frit 200 to Frit 165 is expected to increase the melt rate in DWPF without decreasing waste loading.

  3. ACDOS2: an improved neutron-induced dose rate code

    SciTech Connect (OSTI)

    Lagache, J.C.

    1981-06-01

    To calculate the expected dose rate from fusion reactors as a function of geometry, composition, and time after shutdown a computer code, ACDOS2, was written, which utilizes up-to-date libraries of cross-sections and radioisotope decay data. ACDOS2 is in ANSI FORTRAN IV, in order to make it readily adaptable elsewhere.

  4. Rotational rate sensor

    DOE Patents [OSTI]

    Hunter, Steven L. (Livermore, CA)

    2002-01-01

    A rate sensor for angular/rotational acceleration includes a housing defining a fluid cavity essentially completely filled with an electrolyte fluid. Within the housing, such as a toroid, ions in the fluid are swept during movement from an excitation electrode toward one of two output electrodes to provide a signal for directional rotation. One or more ground electrodes within the housing serve to neutralize ions, thus preventing any effect at the other output electrode.

  5. Residential Solar Valuation Rates

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

    Residential Solar Valuation Rates Karl R. Rábago Rábago Energy LLC 1 The Ideal Residential Solar Tariff ‣ Fair to the utility and non-solar customers ‣ Fair compensation to the solar customer ‣ Decouple compensation from incentives ‣ Align public policy goals (decouple compensation from consumption) ‣ Intuitively sound and administratively simple 2 Historical Antecedents ‣ Externalities ‣ Price ≠ Cost ‣ Green Power ‣ Small Is Profitable (http://www.smallisprofitable.org/)

  6. [FLOATING RATE GUARANTEED OBLIGATIONS]

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

    FLOATING RATE GUARANTEED OBLIGATIONS] Draft Date: May 09, 2011 AMR-306979-v3A 81-40475664 DATED AS OF [______], 20[__] AMONG THE HOLDERS IDENTIFIED HEREIN, THEIR SUCCESSORS AND PERMITTED ASSIGNS, AND THE UNITED STATES DEPARTMENT OF ENERGY, AS GUARANTOR, AND [_____________________________] AS ADMINISTRATIVE AGENT LOAN GUARANTEE AGREEMENT _____________________________ DOE FIPP Guarantee No. [______] ______________________________ AMR-306979-v3A - i - 81-40475664 CONTENTS Clause Page Section 1.

  7. Households to pay more than expected to stay warm this winter

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

    Households to pay more than expected to stay warm this winter Following a colder-than-expected November, U.S. households are forecast to consume more heating fuels than previously expected....resulting in higher heating bills. Homeowners that rely on natural gas will see their total winter expenses rise nearly 13 percent from last winter....while users of electric heat will see a 2.6 percent increase in costs. That's the latest forecast from the U.S. Energy Information Administration. Propane

  8. Loan Guarantees for Three California PV Solar Plants Expected to Create

    Office of Environmental Management (EM)

    1,400 Jobs | Department of Energy Loan Guarantees for Three California PV Solar Plants Expected to Create 1,400 Jobs Loan Guarantees for Three California PV Solar Plants Expected to Create 1,400 Jobs June 30, 2011 - 2:29pm Addthis Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs What will these projects produce? These projects are expected to create 1,400 jobs in California and hundreds along the PV module supply chain across the country. Combined,

  9. EVMS Training Snippet: 4.9 High-level EVM Expectations | Department of

    Office of Environmental Management (EM)

    Energy 9 High-level EVM Expectations EVMS Training Snippet: 4.9 High-level EVM Expectations This EVMS Training Snippet, sponsored by the Office of Project Management (PM) focuses on the DOE Federal Project Director's expectations of the contractor's earned value management system and the resultant EVM data. Link to Video Presentation | Prior Snippet (4.8) | Next Snippet (5.1) | Return to Index PDF icon Slides Only PDF icon Slides with Notes More Documents & Publications EVMS Training

  10. Writing Effective Initial Summary Ratings Initial Summary Rating (ISR)

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

    Initial Summary Ratings Initial Summary Rating (ISR) At the end of the performance cycle, the rating official must prepare an ISR in ePerformance for each SES member who has completed at least 90 days on an established performance plan. Rating officials must take into account the SES member's accomplishments achieved during the performance cycle and the impact to the organization's performance. Rating officials must appraise executives realistically and fairly and avoid ratings inflation.

  11. U.S. oil production expected to decline over next year, rebounding...

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

    decline over next year, rebounding in late 2016 U.S. monthly crude oil production is ... of this year is expected to decline through August 2016 to 8.6 million barrels per day. ...

  12. Artificial Lift Systems Market is expected to reach USD 19,806...

    Open Energy Info (EERE)

    Artificial Lift Systems Market is expected to reach USD 19,806.8 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor...

  13. Active hurricane season expected to shut-in higher amount of...

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

    oil and natural gas production An above-normal 2013 hurricane season is expected to ... of natural gas production in the Gulf of Mexico, according to the new forecast from the ...

  14. Rail Coal Transportation Rates

    Gasoline and Diesel Fuel Update (EIA)

    reports Coal Transportation Rates to the Electric Power Sector With Data through 2014 | Release Date: February 23, 2016 | Next Release Date: January 2017 | Previous Data Years Year: 2013 2011 2010 2008 2002 Go Background and Methodology The data in the tables are based on primary data collected by EIA from plant owners and operators on the Form EIA-923, "Power Plant Operations Report" (EIA-923 Data) and supplement data and analysis of coal transportation costs released by EIA in June

  15. Scientists detect methane levels three times larger than expected over Four

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

    Corners region Methane levels larger over Four Corners region Scientists detect methane levels three times larger than expected over Four Corners region Study is first to show space-based techniques can successfully verify international regulations on fossil energy emissions. December 22, 2014 Scientists detect methane levels three times larger than expected over Four Corners region Study is first to show space-based techniques can successfully verify international regulations on fossil

  16. WHAT CAN I EXPECT FROM THE HEADQUARTERS MEDIATION PROCESS? | Department of

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

    Energy WHAT CAN I EXPECT FROM THE HEADQUARTERS MEDIATION PROCESS? WHAT CAN I EXPECT FROM THE HEADQUARTERS MEDIATION PROCESS? October 18, 2012 - 9:42am Addthis Convening Process After mediation has been requested by one party to a conflict, the Headquarters (HQ) Mediation Program Manager will contact the other side to determine whether they agree to mediate. If they agree to mediate, she will meet separately with each party to discuss and prepare them for the mediation. This private

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

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

    affecting a specific power purchase. For more specific information see: 1996 Final Wholesale Power and Transmission Rate Schedules: Power Rates (PDF, 84 pages, 188 kb) Ancillary...

  18. Rate Schedules | Department of Energy

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

    Rate Schedules Rate Schedules One of the major responsibilities of Southeastern is to design, formulate, and justify rate schedules. Repayment studies prepared by the agency determine revenue requirements and appropriate rate levels and these studies for each of Southeastern's four power marketing systems are updated annually. They demonstrate the adequacy of the rates for each system. Rates are considered to be adequate when revenues are sufficient to repay all costs associated with power

  19. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier5Rate | Open...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateEnergyRateStructureTier5Rate Jump to: navigation, search This is a property of type...

  20. Property:OpenEI/UtilityRate/DemandRateStructure/Tier1Rate | Open...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateDemandRateStructureTier1Rate Jump to: navigation, search This is a property of type...

  1. Property:OpenEI/UtilityRate/DemandRateStructure/Tier3Rate | Open...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateDemandRateStructureTier3Rate Jump to: navigation, search This is a property of type...

  2. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier3Rate | Open...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateEnergyRateStructureTier3Rate Jump to: navigation, search This is a property of type...

  3. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier4Rate | Open...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateEnergyRateStructureTier4Rate Jump to: navigation, search This is a property of type...

  4. Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    Future Production (Million Barrels) Expected Future Production (Million Barrels) Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 358 336 309 289 297 1990's 261 292 246 255 267 191 199 352 341 403 2000's 487 460 483 347 410 407 390 365 313 301 2010's 340 354 369 292 367 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  5. California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    Future Production (Million Barrels) Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 9 1980's 11 6 6 6 5 6 7 7 7 4 1990's 5 4 5 6 5 4 3 4 5 7 2000's 10 8 10 8 8 9 8 9 6 6 2010's 5 4 4 4 4

  6. California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    Future Production (Million Barrels) San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 74 1980's 74 51 118 111 100 115 104 102 96 91 1990's 82 71 79 81 71 77 77 79 57 59 2000's 63 51 68 78 94 110 100 103 97 113 2010's 98 78 77 85 96

  7. Expectations for the hard x-ray continuum and gamma-ray line fluxes from

    Office of Scientific and Technical Information (OSTI)

    the typE IA supernova SN 2014J in M82 (Journal Article) | SciTech Connect Expectations for the hard x-ray continuum and gamma-ray line fluxes from the typE IA supernova SN 2014J in M82 Citation Details In-Document Search Title: Expectations for the hard x-ray continuum and gamma-ray line fluxes from the typE IA supernova SN 2014J in M82 The hard X-ray continuum and gamma-ray lines from a Type Ia supernova dominate its integrated photon emissions and can provide unique diagnostics of the mass

  8. U.S. crude oil production expected to top 9 million barrels per day in December

    Gasoline and Diesel Fuel Update (EIA)

    3 2015 Falling crude prices to slow U.S. oil production growth in 2015 U.S. crude oil production is expected to increase again this year, but lower crude prices will slow the growth in output. In its new forecast, the U.S. Energy Information Administration said domestic crude oil production should average 9.3 million barrels per day in 2015. On-shore production in the Lower 48-states is expected to grow in the early part of the year, before declining in the second half. Production for the

  9. U.S. crude oil production expected to top 9 million barrels per day in December

    Gasoline and Diesel Fuel Update (EIA)

    crude oil production expected to top 9 million barrels per day in December U.S. crude oil production is expected to continue to increase through next year, despite the outlook for lower crude oil prices. In its new short-term forecast, the U.S. Energy Information Administration said monthly average oil production is on track to surpass 9 million barrels per day in December for the first time since 1986 and then rise to an average 9.4 million barrels a day next year. Even though that's down about

  10. U.S. gasoline price expected to drop further below $3 per gallon

    Gasoline and Diesel Fuel Update (EIA)

    gasoline price expected to drop further below $3 per gallon The national average pump price of gasoline dropped below $3 per gallon last week for the first time in nearly four years. U.S. gasoline prices are expected to sink further below the $3 per gallon mark through the end of this year and average under $3 for the year in 2015. In its new short-term forecast, the U.S. Energy Information Administration said the average price for gasoline will continue to decline, reaching an average $2.80 per

  11. U.S. gasoline price expected to drop further below $3 per gallon

    Gasoline and Diesel Fuel Update (EIA)

    U.S. households to pay an average $750 less for gasoline in 2015 In its new forecast, the U.S. Energy Information Administration expects the average U.S. household to spend $750 less for gasoline this year compared to 2014. The price for regular gasoline this year is forecast to average $2.33 per gallon. The average pump price is expected to rise to $2.72 per gallon in 2016. Gasoline prices have already fallen for 15 weeks in a row, matching the record streak in price declines set at the end of

  12. U.S. gasoline prices expected to be cheaper in the second half of 2013

    Gasoline and Diesel Fuel Update (EIA)

    gasoline prices expected to be cheaper in the second half of 2013 U.S. retail gasoline prices should be slightly lower during the second half of 2013. In its new monthly energy forecast, the U.S. Energy Information Administration projects regular- grade gasoline will average $3.59 per gallon in the current third quarter and $3.33 in the fourth quarter. Pump prices are expected to fall as crude oil prices begin to decline and the summer driving season winds down. Crude oil accounts for about

  13. ,"Montana Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  14. ,"New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  15. ,"New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  16. ,"New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  17. ,"New Mexico Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  18. ,"New York Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  19. ,"North Dakota Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  20. ,"North Dakota Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  1. ,"Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  2. ,"Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  3. ,"Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  4. ,"Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  5. ,"Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  6. ,"U.S. Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  7. ,"U.S. Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel

  8. ,"Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  9. ,"Utah Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  10. ,"Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    and Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2006 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  12. ,"West Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  13. ,"West Virginia Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  14. ,"Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  15. ,"Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  16. Texas--RRC District 1 Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 1 Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 16 1980's 18 20 24 35 33 33 30 22 23 15 1990's 20 23 24 23 23 23 44 46 32 161 2000's 49 35 34 24 31 31 32 43 44 87 2010's 163 158 197 233 343 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  17. Texas--RRC District 10 Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 10 Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 356 1980's 350 349 376 397 425 416 411 402 351 331 1990's 318 346 327 316 305 343 323 372 342 191 2000's 191 311 326 315 373 367 396 458 473 494 2010's 566 578 522 481 598 - = No Data Reported; -- = Not Applicable; NA = Not

  18. Texas--RRC District 2 Onshore Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 2 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 45 1980's 48 68 52 73 81 76 69 70 67 56 1990's 63 61 66 72 74 82 85 75 75 64 2000's 59 53 60 56 64 72 74 94 88 77 2010's 113 203 374 698 1,037 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  19. Texas--RRC District 3 Onshore Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 3 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 177 1980's 164 179 212 228 217 211 184 166 150 140 1990's 132 160 172 196 200 204 210 170 169 152 2000's 140 144 170 135 149 148 159 143 131 127 2010's 129 158 184 196 199 - = No Data Reported; -- = Not Applicable; NA =

  20. Texas--RRC District 4 Onshore Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 4 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 172 1980's 177 183 204 212 208 183 197 197 186 188 1990's 208 204 207 213 220 217 241 261 267 300 2000's 316 281 279 202 253 238 246 250 231 231 2010's 258 402 562 1,069 987 - = No Data Reported; -- = Not Applicable; NA =

  1. Texas--RRC District 5 Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 5 Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 24 1980's 32 42 44 61 61 62 73 76 72 65 1990's 61 53 55 50 50 47 48 31 31 24 2000's 24 43 39 40 44 40 42 50 126 192 2010's 225 237 214 183 193 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  2. Texas--RRC District 6 Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 6 Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 228 1980's 268 259 232 280 253 247 224 213 210 212 1990's 195 195 205 202 218 223 242 221 235 182 2000's 182 215 213 195 233 264 279 324 318 330 2010's 369 360 269 376 387 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  3. Texas--RRC District 7B Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 7B Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 62 1980's 82 99 99 129 103 101 106 90 95 71 1990's 74 81 67 73 61 69 64 57 48 34 2000's 34 28 24 31 42 89 131 200 269 326 2010's 359 416 295 332 312 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  4. Texas--RRC District 7C Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 7C Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 168 1980's 120 172 184 204 219 242 232 231 226 225 1990's 234 218 266 250 241 255 285 309 266 291 2000's 291 271 326 319 365 391 404 464 402 412 2010's 465 549 524 438 473 - = No Data Reported; -- = Not Applicable; NA = Not

  5. Texas--RRC District 8 Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 8 Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 452 1980's 452 498 554 650 662 646 697 623 530 542 1990's 545 466 426 430 398 432 417 447 479 479 2000's 479 504 488 484 487 559 547 525 524 536 2010's 618 689 802 830 1,240 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  6. Texas--RRC District 8A Natural Gas Plant Liquids, Expected Future

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

    Production (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 8A Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 350 1980's 289 335 296 262 282 282 331 307 325 332 1990's 353 333 257 297 267 284 262 290 226 222 2000's 222 250 180 163 197 248 231 260 194 201 2010's 230 239 242 239 245 - = No Data Reported; -- = Not Applicable; NA = Not

  7. Texas--RRC District 9 Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--RRC District 9 Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 75 1980's 81 81 111 115 113 106 112 107 102 90 1990's 100 96 89 88 94 90 116 96 91 156 2000's 156 182 229 228 228 276 372 347 348 419 2010's 488 552 542 578 662 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  8. Texas--State Offshore Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) Texas--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 1980's 0 0 5 4 3 5 5 5 2 3 1990's 2 1 1 1 0 0 0 1 1 1 2000's 1 1 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  9. New Mexico--East Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) New Mexico--East Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 192 1980's 192 197 193 216 206 192 200 176 193 179 1990's 200 187 204 215 222 236 287 253 243 230 2000's 302 259 266 251 245 237 264 274 261 289 2010's 342 350 310 329 443 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  10. New Mexico--West Natural Gas Plant Liquids, Expected Future Production

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

    (Million Barrels) Plant Liquids, Expected Future Production (Million Barrels) New Mexico--West Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 273 1980's 286 299 282 279 256 203 314 532 733 684 1990's 715 653 790 710 724 645 711 561 633 666 2000's 502 535 513 573 560 544 540 514 465 426 2010's 422 426 352 350 346 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  11. New York Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) New York Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 165 193 211 1980's 208 264 229 295 389 369 457 410 351 368 1990's 354 331 329 264 242 197 232 224 218 221 2000's 322 318 315 365 324 349 363 376 389 196 2010's 281 253 184 144 143 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  12. ,"Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  13. ,"Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  14. ,"Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  15. ,"Arkansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  16. ,"California Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  17. ,"California Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  18. ,"Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  19. ,"Colorado Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  20. ,"Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  1. ,"Florida Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  2. ,"Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  3. ,"Kansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  4. ,"Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  5. ,"Kentucky Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  6. ,"Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  7. ,"Louisiana - South Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - South Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. ,"Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  9. ,"Louisiana--North Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--North Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  10. ,"Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  12. ,"Lower 48 States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  14. ,"Michigan Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  15. ,"Miscellaneous States Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"Miscellaneous States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. ,"Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  18. ,"Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  19. Average household expected to save $675 at the pump in 2015

    Gasoline and Diesel Fuel Update (EIA)

    Average household expected to save $675 at the pump in 2015 Although retail gasoline prices have risen in recent weeks U.S. consumers are still expected to save about $675 per household in motor fuel costs this year. In its new monthly forecast, the U.S. Energy Information Administration says the average pump price for regular grade gasoline in 2015 will be $2.43 per gallon. That's about 93 cents lower than last year's average. The savings for consumers will be even bigger during the

  20. Expectations for {sup 12}C and {sup 16}O induced fusion cross sections at energies of astrophysical interest.

    SciTech Connect (OSTI)

    Jiang, C. L.; Rehm, K. E.; Back, B. B.; Janssens, R.V.F; Physics

    2007-01-12

    The extrapolations of cross sections for fusion reactions involving {sup 12}C and {sup 16}O nuclei down to energies relevant for explosive stellar burning have been reexamined. Based on a systematic study of fusion in heavier systems, it is expected that a suppression of the fusion process will also be present in these light heavy-ion systems at extreme sub-barrier energies due to the saturation properties of nuclear matter. Previous phenomenological extrapolations of the S factor for light heavy-ion fusion based on optical model calculations may therefore have overestimated the corresponding reaction rates. A new 'recipe' is proposed to extrapolate S factors for light heavy-ion reactions to low energies taking the hindrance behavior into account. It is based on a fit to the logarithmic derivative of the experimental cross section which is much less sensitive to overall normalization discrepancies between different data sets than other approaches. This method, therefore, represents a significant improvement over other extrapolations. The impact on the astrophysical reaction rates is discussed.

  1. Expectations for {sup 12}C and {sup 16}O induced fusion cross sections at energies of astrophysical interest

    SciTech Connect (OSTI)

    Jiang, C. L.; Rehm, K. E.; Back, B. B.; Janssens, R. V. F. [Physics Division, Argonne National Laboratory, Argonne, Illinois 60439 (United States)

    2007-01-15

    The extrapolations of cross sections for fusion reactions involving {sup 12}C and {sup 16}O nuclei down to energies relevant for explosive stellar burning have been reexamined. Based on a systematic study of fusion in heavier systems, it is expected that a suppression of the fusion process will also be present in these light heavy-ion systems at extreme sub-barrier energies due to the saturation properties of nuclear matter. Previous phenomenological extrapolations of the S factor for light heavy-ion fusion based on optical model calculations may therefore have overestimated the corresponding reaction rates. A new ''recipe'' is proposed to extrapolate S factors for light heavy-ion reactions to low energies taking the hindrance behavior into account. It is based on a fit to the logarithmic derivative of the experimental cross section which is much less sensitive to overall normalization discrepancies between different data sets than other approaches. This method, therefore, represents a significant improvement over other extrapolations. The impact on the astrophysical reaction rates is discussed.

  2. 2007-2009 Power Rates Quarterly Updates (pbl/rates)

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

    (PFR) Firstgov FY 2007 2009 Power Rates Quarterly Updates In BPAs 2007-2009 Wholesale Power Rate Case (WP-07), BPA agreed that it would post reports about BPAs power...

  3. October 2005 - March 2006 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 30.56% non-Slice LB + FB + SN CRAC adjustment for each month of the six-month rate period. The table below...

  4. April - September 2002 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 40.77% non-Slice LB CRAC adjustment for each month of the six-month rate period. The table below is simply a...

  5. October 2004 - March 2005 Power Rates (rates/previous)

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

    The PDF documents above provide tables of monthly Slice, PF, RL, and IP rates with the LB + FB + SN CRAC adjustments for each month of the rate period. The table below is simply...

  6. April - September 2005 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 36.93% non-Slice LB + FB + SN CRAC adjustment for each month of the six-month rate period. The table below...

  7. October 2003 - March 2004 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 43.66% non-Slice LB + FB + SN CRAC adjustment for each month of the rate period. The table below is simply a...

  8. October 2002 - March 2003 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 43.91% non-Slice LB + FB CRAC adjustment for each month of the six-month rate period. The table below is...

  9. October 2001 - March 2002 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 46% non-Slice LB CRAC adjustment for each month of the six-month rate period. The table below is simply a...

  10. April - September 2003 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 49.50% non-Slice LB + FB CRAC adjustment for each month of the six-month rate period. The table below is...

  11. April - September 2004 Power Rates (rates/previous)

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

    above provides a table of monthly Slice, PF, RL, and IP rates with a 47.00% non-Slice LB + FB + SN CRAC adjustment for each month of the six-month rate period. The table below...

  12. WP-02 Power Rate Case (rates/ratecases)

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

    WP-02 Power Rate Case (Updated on May 7, 2004) In May of 2000, the BPA Administrator signed a Record of Decision (ROD) on the 2002 Final Power Rate Proposal for the October 2001...

  13. FPS-96R Rate Adjustment (rates/ratecases)

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

    Final Firm Power Products and Services (FPS-96R) Rate Adjustment In August 1999, BPA proposed to correct errors in the Firm Power Products and Services rate schedule (FPS-96), and...

  14. National Utility Rate Database: Preprint

    SciTech Connect (OSTI)

    Ong, S.; McKeel, R.

    2012-08-01

    When modeling solar energy technologies and other distributed energy systems, using high-quality expansive electricity rates is essential. The National Renewable Energy Laboratory (NREL) developed a utility rate platform for entering, storing, updating, and accessing a large collection of utility rates from around the United States. This utility rate platform lives on the Open Energy Information (OpenEI) website, OpenEI.org, allowing the data to be programmatically accessed from a web browser, using an application programming interface (API). The semantic-based utility rate platform currently has record of 1,885 utility rates and covers over 85% of the electricity consumption in the United States.

  15. Extended space expectation values of position related operators for hydrogen-like quantum system evolutions

    SciTech Connect (OSTI)

    Kalay, Berfin; Demiralp, Metin

    2014-10-06

    The expectation value definitions over an extended space from the considered Hilbert space of the system under consideration is given in another paper of the second author in this symposium. There, in that paper, the conceptuality rather than specification is emphasized on. This work uses that conceptuality to investigate the time evolutions of the position related operators' expectation values not in its standard meaning but rather in a new version of the definition over not the original Hilbert space but in the space obtained by extensions via introducing the images of the given initial wave packet under the positive integer powers of the system Hamiltonian. These images may not be residing in the same space of the initial wave packet when certain singularities appear in the structure of the system Hamiltonian. This may break down the existence of the integrals in the definitions of the expectation values. The cure is the use of basis functions in the abovementioned extended space and the sandwiching of the target operator whose expectation value is under questioning by an appropriately chosen operator guaranteeing the existence of the relevant integrals. Work specifically focuses on the hydrogen-like quantum systems whose Hamiltonians contain a polar singularity at the origin.

  16. What to Expect When Readying to Move Spent Nuclear Fuel from Commercial

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

    Nuclear Power Plants | Department of Energy PDF icon What to Expect When Readying to Move Spent Nuclear Fuel from Commercial Nuclear Power Plants More Documents & Publications Nuclear Fuel Storage and Transportation Planning Project Overview Indiana Department of Homeland Security - NNPP Exercise Better Security Through Discussion

  17. Gulf of Mexico Federal Offshore - Texas Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,878 6,493 7,444 7,219 7,241 6,968 1990's 7,300 6,675 6,996 6,661 6,383 6,525 5,996 5,988 5,648 5,853 2000's 6,384 6,775 6,189 5,331 4,127 3,342 2,725 2,544 2,392 2,451 2010's 2,145 1,554 1,450 1,450 1,397 - =

  18. Gulf of Mexico Federal Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Expected Future Production (Billion Cubic Feet) Gulf of Mexico Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 26,649 26,044 27,218 27,917 27,852 27,922 26,422 25,451 2000's 26,172 26,456 24,689 22,059 18,812 17,007 14,549 13,634 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  19. Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 175,170 175,988 168,738 1980's 165,639 168,693 166,522 165,964 162,987 159,522 158,922 153,986 158,946 158,177 1990's 160,046 157,509 155,377 152,508 154,104 155,649 157,180 156,661 154,114 157,672 2000's 168,190 174,660 178,478 180,759 184,106 196,214 200,840

  20. Texas - RRC District 1 Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 1 Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,319 986 919 1980's 829 1,022 892 1,087 838 967 913 812 1,173 1,267 1990's 1,048 1,030 933 698 703 712 906 953 1,104 1,008 2000's 1,032 1,018 1,045 1,062 1,184 1,161 1,063 1,040 985 1,398 2010's 2,399 5,910 8,868 7,784 11,945 - = No Data Reported;

  1. Texas - RRC District 2 Onshore Dry Natural Gas Expected Future Production

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

    (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 2 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,162 2,976 2,974 1980's 2,502 2,629 2,493 2,534 2,512 2,358 2,180 2,273 2,037 1,770 1990's 1,737 1,393 1,389 1,321 1,360 1,251 1,322 1,634 1,614 1,881 2000's 1,980 1,801 1,782 1,770 1,844 2,073 2,060 2,255 2,238 1,800 2010's 2,090

  2. Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production

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

    (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7,518 7,186 6,315 1980's 5,531 5,292 4,756 4,680 4,708 4,180 3,753 3,632 3,422 3,233 1990's 2,894 2,885 2,684 2,972 3,366 3,866 4,349 4,172 3,961 3,913 2000's 3,873 3,770 3,584 3,349 3,185 3,192 3,050 2,904 2,752 2,616 2010's 2,588

  3. Texas - RRC District 4 Onshore Dry Natural Gas Expected Future Production

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

    (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 4 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 9,621 9,031 8,326 1980's 8,130 8,004 8,410 8,316 8,525 8,250 8,274 7,490 7,029 7,111 1990's 7,475 7,048 6,739 7,038 7,547 7,709 7,769 8,099 8,429 8,915 2000's 9,645 9,956 9,469 8,763 8,699 8,761 8,116 7,963 7,604 6,728 2010's 7,014

  4. Texas - RRC District 5 Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 5 Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 931 1,298 1,155 1980's 1,147 1,250 1,308 1,448 1,874 2,058 2,141 2,119 1,996 1,845 1990's 1,875 1,863 1,747 1,867 2,011 1,862 2,079 1,710 1,953 2,319 2000's 3,168 4,231 4,602 5,407 6,523 9,557 12,593 17,205 20,281 22,343 2010's 24,363 27,843 17,331

  5. Texas - RRC District 7B Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 7B Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 699 743 751 1980's 745 804 805 1,027 794 708 684 697 704 459 1990's 522 423 455 477 425 440 520 478 442 416 2000's 312 252 260 340 310 802 1,471 2,117 2,382 2,077 2010's 2,242 3,305 2,943 2,787 2,290 - = No Data Reported; -- = Not Applicable; NA =

  6. Texas - RRC District 8A Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 8A Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,630 1,473 1,055 1980's 1,057 1,071 1,041 966 907 958 845 876 832 1,074 1990's 1,036 1,073 1,239 1,043 1,219 941 931 847 807 1,257 2000's 1,101 1,085 1,084 1,056 1,188 1,366 1,290 1,431 1,172 1,218 2010's 1,164 1,226 1,214 1,269 1,257 - = No Data

  7. Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 724 908 700 1980's 649 953 1,103 932 900 892 868 834 783 703 1990's 776 738 670 688 728 738 705 794 734 1,137 2000's 1,626 2,289 2,877 3,309 4,221 4,328 6,218 7,476 9,037 10,904 2010's 12,464 10,115 8,894 9,195 8,791 - = No Data Reported; -- = Not

  8. U.S. Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) U.S. Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1920's 23,000 1930's 46,000 62,000 66,000 70,000 1940's 85,000 113,800 110,000 110,000 133,500 146,987 159,704 165,026 172,925 179,402 1950's 184,585 192,759 198,632 210,299 210,561 222,483 236,483 245,230 252,762 261,170 1960's 262,326 266,274 272,279 276,151 281,251 286,469 289,333 292,908 287,350

  9. U.S. Federal Offshore Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) U.S. Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 31,433 29,448 27,767 27,143 28,388 29,182 29,096 28,466 26,902 25,987 2000's 26,748 27,036 25,204 22,570 19,271 17,831 15,360 14,439 13,546 12,552 2010's 11,765 10,420 9,392 8,193 8,527 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

  10. New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic

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

    Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 8,152 8,799 9,693 1980's 9,757 10,272 8,986 8,446 8,167 7,866 9,114 8,739 14,221 12,359 1990's 14,004 15,333 15,868 15,585 14,207 14,624 13,695 12,872 12,294 12,412 2000's 13,785 13,896 13,688 13,719 14,891 14,410 14,020 13,251 12,254 11,457 2010's 11,186

  11. New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet)

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

    Expected Future Production (Billion Cubic Feet) New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,000 12,688 13,724 1980's 13,287 13,870 12,418 11,676 11,364 10,900 11,808 11,620 17,166 15,434 1990's 17,260 18,539 18,998 18,619 17,228 17,491 16,485 15,514 14,987 15,449 2000's 17,322 17,414 17,320 17,020 18,512 18,201 17,934 17,245 16,285 15,598 2010's 15,412 15,005 13,586 13,576 15,283

  12. U.S. Natural Gas Plant Liquids, Expected Future Production (Million

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

    Barrels) Liquids, Expected Future Production (Million Barrels) U.S. Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,204 1980's 5,198 5,488 5,620 6,288 6,121 6,491 6,729 6,745 6,849 6,380 1990's 6,284 6,220 6,225 6,030 6,023 6,202 6,516 6,632 6,188 6,503 2000's 6,873 6,595 6,648 6,244 6,707 6,903 7,133 7,648 7,842 8,557 2010's 9,809 10,825 10,777 11,943 15,029 - = No Data Reported; --

  13. What to Expect when being Processed for a Department of Energy Security Clearance or Access Authorization

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

    WHAT TO EXPECT WHEN BEING PROCESSED FOR A DEPARTMENT OF ENERGY SECURITY CLEARANCE OR ACCESS AUTHORIZATION INTRODUCTION This overview will help individuals new to the process understand what it means to obtain and maintain a Department of Energy (DOE) security clearance or access authorization. You are a part of a select group of individuals who are being considered for access to classified information maintained by DOE. WHAT IS CLASSIFIED INFORMATION? As you know, the protection of classified

  14. Assumptions and Expectations for Annual Energy Outlook 2015: Oil and Gas Working Group

    Gasoline and Diesel Fuel Update (EIA)

    Assumptions and Expectations for Annual Energy Outlook 2016: Oil and Gas Working Group AEO2016 Oil and Gas Supply Working Group Meeting Office of Petroleum, Gas, and Biofuels Analysis December 1, 2015| Washington, DC http://www.eia.gov/forecasts/aeo/workinggroup/ WORKING GROUP PRESENTATION FOR DISCUSSION PURPOSES DO NOT QUOTE OR CITE AS RESULTS ARE SUBJECT TO CHANGE We welcome feedback on our assumptions and documentation * The AEO Assumptions report http://www.eia.gov/forecasts/aeo/assumptions/

  15. Programmable AC power supply for simulating power transient expected in fusion reactor

    SciTech Connect (OSTI)

    Halimi, B.; Suh, K. Y.

    2012-07-01

    This paper focus on control engineering of the programmable AC power source which has capability to simulate power transient expected in fusion reactor. To generate the programmable power source, AC-AC power electronics converter is adopted to control the power of a set of heaters to represent the transient phenomena of heat exchangers or heat sources of a fusion reactor. The International Thermonuclear Experimental Reactor (ITER) plasma operation scenario is used as the basic reference for producing this transient power source. (authors)

  16. SN-03 Rate Case Workshops (rates/meetings)

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

    Materials Related Link: SN-03 Power Rate Case May 1 & 13, 2003 - Debt and Liquidity Strategies workshops (on BPA Corporate web site) March 27, 2003 - SN CRAC Prescheduling...

  17. Writing Effective Initial Summary Ratings Initial Summary Rating...

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

    Writing an Effective ISR (max 8000 characters including spaces) Before writing: * Read definitions of rating levels and critical element targets carefully * Review Strategic Plan ...

  18. Wholesale Power Rate Schedules | Department of Energy

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

    Rate Schedules Wholesale Power Rate Schedules Wholesale Power Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System:...

  19. ARM - Measurement - Radiative heating rate

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

    govMeasurementsRadiative heating rate ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Radiative heating rate The heating rate due to the divergence of long and shortwave radiative flux. Categories Atmospheric State, Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a

  20. Contractor Rating and Feedback Systems

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Workforce/ Business Partners Peer Exchange Call Series: Contractor Rating and Feedback Systems, Call Slides and Discussion Summary, April 24, 2014.

  1. Sustainable Building Rating Systems Summary

    SciTech Connect (OSTI)

    Fowler, Kimberly M.; Rauch, Emily M.

    2006-07-01

    The purpose of this document is to offer information that could be used to compare and contrast sustainable building rating systems.

  2. Confronting Regulatory Cost and Quality Expectations. An Exploration of Technical Change in Minimum Efficiency Performance Standards

    SciTech Connect (OSTI)

    Taylor, Margaret; Spurlock, C. Anna; Yang, Hung-Chia

    2015-09-21

    The dual purpose of this project was to contribute to basic knowledge about the interaction between regulation and innovation and to inform the cost and benefit expectations related to technical change which are embedded in the rulemaking process of an important area of national regulation. The area of regulation focused on here is minimum efficiency performance standards (MEPS) for appliances and other energy-using products. Relevant both to U.S. climate policy and energy policy for buildings, MEPS remove certain product models from the market that do not meet specified efficiency thresholds.

  3. Near-Term Acceleration In The Rate of Temperature Change

    SciTech Connect (OSTI)

    Smith, Steven J.; Edmonds, James A.; Hartin, Corinne A.; Mundra, Anupriya; Calvin, Katherine V.

    2015-03-09

    Anthropogenically-driven climate changes, which are expected to impact human and natural systems, are often expressed in terms of global-mean temperature . The rate of climate change over multi-decadal scales is also important, with faster rates of change resulting in less time for human and natural systems to adapt . We find that current trends in greenhouse gas and aerosol emissions are now moving the Earth system into a regime in terms of multi-decadal rates of change that are unprecedented for at least the last 1000 years. The rate of global-mean temperature increase in the CMIP5 archive over 40-year periods increases to 0.25±0.05 (1σ) °C per decade by 2020, an average greater than peak rates of change during the previous 1-2 millennia. Regional rates of change in Europe, North America and the Arctic are higher than the global average. Research on the impacts of such near-term rates of change is urgently needed.

  4. Texas - RRC District 10 Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 10 Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7,744 7,406 6,784 1980's 6,435 6,229 6,210 5,919 5,461 5,469 5,276 4,962 4,830 4,767 1990's 4,490 4,589 4,409 4,040 4,246 4,436 4,391 4,094 4,273 4,424 2000's 4,079 3,955 3,838 4,064 4,873 4,910 5,387 6,281 6,922 6,882 2010's 7,663 7,513 7,253

  5. Texas - RRC District 6 Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 6 Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,214 3,240 3,258 1980's 4,230 4,177 4,326 4,857 4,703 4,822 4,854 4,682 4,961 5,614 1990's 5,753 5,233 5,317 5,508 5,381 5,726 5,899 5,887 5,949 5,857 2000's 5,976 6,128 6,256 6,685 7,638 8,976 9,087 11,257 12,184 12,795 2010's 14,886 15,480 11,340

  6. Texas - RRC District 7C Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 7C Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,831 2,821 2,842 1980's 2,378 2,503 2,659 2,568 2,866 2,914 2,721 2,708 2,781 3,180 1990's 3,514 3,291 3,239 3,215 3,316 3,107 3,655 3,407 3,113 3,178 2000's 3,504 3,320 3,702 4,327 4,668 5,123 5,126 5,341 4,946 4,827 2010's 4,787 4,475 4,890

  7. Texas - RRC District 8 Dry Natural Gas Expected Future Production (Billion

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

    Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Texas - RRC District 8 Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 11,728 11,093 10,077 1980's 9,144 8,546 8,196 8,156 7,343 7,330 7,333 6,999 7,058 6,753 1990's 6,614 6,133 5,924 5,516 5,442 5,441 5,452 5,397 4,857 5,434 2000's 5,388 5,255 5,361 5,142 5,301 5,993 6,070 6,560 6,824 6,672 2010's 7,206 7,039 7,738

  8. New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic

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

    Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,848 3,889 4,031 1980's 3,530 3,598 3,432 3,230 3,197 3,034 2,694 2,881 2,945 3,075 1990's 3,256 3,206 3,130 3,034 3,021 2,867 2,790 2,642 2,693 3,037 2000's 3,537 3,518 3,632 3,301 3,621 3,791 3,914 3,994 4,031 4,141 2010's 4,226 4,379 4,386 4,633 5,799 - =

  9. Tier 2 Vintage Rate Workshop

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

    at a Tier 2 rate 3) Combination of the two On Nov 1, 2009, customers made their elections for how they will serve their Above-RHWM Load during the FY 2012-2014 purchase...

  10. Microbial Gas Generation Under Expected Waste Isolation Pilot Plant Repository Conditions: Final Report

    SciTech Connect (OSTI)

    Gillow, J.B.; Francis, A.

    2011-07-01

    Gas generation from the microbial degradation of the organic constituents of transuranic (TRU) waste under conditions expected in the Waste Isolation Pilot Plant (WIPP) was investigated. The biodegradation of mixed cellulosic materials and electron-beam irradiated plastic and rubber materials (polyethylene, polyvinylchloride, hypalon, leaded hypalon, and neoprene) was examined. We evaluated the effects of environmental variables such as initial atmosphere (air or nitrogen), water content (humid ({approx}70% relative humidity, RH) and brine inundated), and nutrient amendments (nitogen phosphate, yeast extract, and excess nitrate) on microbial gas generation. Total gas production was determined by pressure measurement and carbon dioxide (CO{sub 2}) and methane (CH{sub 4}) were analyzed by gas chromatography; cellulose degradation products in solution were analyzed by high-performance liquid chromatography. Microbial populations in the samples were determined by direct microscopy and molecular analysis. The results of this work are summarized.

  11. Expected Power-Utility Maximization Under Incomplete Information and with Cox-Process Observations

    SciTech Connect (OSTI)

    Fujimoto, Kazufumi; Nagai, Hideo; Runggaldier, Wolfgang J.

    2013-02-15

    We consider the problem of maximization of expected terminal power utility (risk sensitive criterion). The underlying market model is a regime-switching diffusion model where the regime is determined by an unobservable factor process forming a finite state Markov process. The main novelty is due to the fact that prices are observed and the portfolio is rebalanced only at random times corresponding to a Cox process where the intensity is driven by the unobserved Markovian factor process as well. This leads to a more realistic modeling for many practical situations, like in markets with liquidity restrictions; on the other hand it considerably complicates the problem to the point that traditional methodologies cannot be directly applied. The approach presented here is specific to the power-utility. For log-utilities a different approach is presented in Fujimoto et al. (Preprint, 2012).

  12. BPA Power Rates (pbl/main)

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

    rates, please see the transmission rates web site. Inactive Rate Cases Integrated Business Review (IBR) Integrated Program Review (IPR) Quarterly Business Review (QBR) Content...

  13. Coal Transportation Rate Sensitivity Analysis

    Reports and Publications (EIA)

    2005-01-01

    On December 21, 2004, the Surface Transportation Board (STB) requested that the Energy Information Administration (EIA) analyze the impact of changes in coal transportation rates on projected levels of electric power sector energy use and emissions. Specifically, the STB requested an analysis of changes in national and regional coal consumption and emissions resulting from adjustments in railroad transportation rates for Wyoming's Powder River Basin (PRB) coal using the National Energy Modeling System (NEMS). However, because NEMS operates at a relatively aggregate regional level and does not represent the costs of transporting coal over specific rail lines, this analysis reports on the impacts of interregional changes in transportation rates from those used in the Annual Energy Outlook 2005 (AEO2005) reference case.

  14. DOE Guidance-Category Rating

    Office of Environmental Management (EM)

    2010 MEMORANDUM FOR HUMAN RESOURCES DIRECTORS FROM: SARA"iJ. Boku1, DIRECToR OF HUMAN C~TAL MANAGEMENT SUBJECT: GUIDANCE MEMORANDUM #10 CATEGORY RATING The purpose of this memorandum is to establish the Department of Energy's (DOE's) policy for the use of Category Rating. Authorities: Public Law 107-296; Title 5 USC 3319; 5 CFR, Part 337, Subpart C., Presidential Memorandum of May 11, 2010 This guidance is established in accordance with 5 USC 3319, which authorizes Federal Agencies to use

  15. U.S. average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012

    Gasoline and Diesel Fuel Update (EIA)

    average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012 Despite the recent run-up in gasoline prices, the U.S. Energy Information Administration expects falling crude oil prices will lead to a small decline in average motor fuel costs this year compared with last year. The price for regular gasoline is expected to average $3.55 a gallon in 2013 and $3.39 next year, according to EIA's new Short-Term Energy Outlook. That's down from $3.63 a gallon in 2012. For

  16. Variable gas leak rate valve

    DOE Patents [OSTI]

    Eernisse, Errol P.; Peterson, Gary D.

    1976-01-01

    A variable gas leak rate valve which utilizes a poled piezoelectric element to control opening and closing of the valve. The gas flow may be around a cylindrical rod with a tubular piezoelectric member encircling the rod for seating thereagainst to block passage of gas and for reopening thereof upon application of suitable electrical fields.

  17. Fast repetition rate (FRR) flasher

    DOE Patents [OSTI]

    Kolber, Z.; Falkowski, P.

    1997-02-11

    A fast repetition rate (FRR) flasher is described suitable for high flash photolysis including kinetic chemical and biological analysis. The flasher includes a power supply, a discharge capacitor operably connected to be charged by the power supply, and a flash lamp for producing a series of flashes in response to discharge of the discharge capacitor. A triggering circuit operably connected to the flash lamp initially ionizes the flash lamp. A current switch is operably connected between the flash lamp and the discharge capacitor. The current switch has at least one insulated gate bipolar transistor for switching current that is operable to initiate a controllable discharge of the discharge capacitor through the flash lamp. Control means connected to the current switch for controlling the rate of discharge of the discharge capacitor thereby to effectively keep the flash lamp in an ionized state between successive discharges of the discharge capacitor. Advantageously, the control means is operable to discharge the discharge capacitor at a rate greater than 10,000 Hz and even up to a rate greater than about 250,000 Hz. 14 figs.

  18. Fast repetition rate (FRR) flasher

    DOE Patents [OSTI]

    Kolber, Zbigniew (Shoreham, NY); Falkowski, Paul (Stony Brook, NY)

    1997-02-11

    A fast repetition rate (FRR) flasher suitable for high flash photolysis including kinetic chemical and biological analysis. The flasher includes a power supply, a discharge capacitor operably connected to be charged by the power supply, and a flash lamp for producing a series of flashes in response to discharge of the discharge capacitor. A triggering circuit operably connected to the flash lamp initially ionizes the flash lamp. A current switch is operably connected between the flash lamp and the discharge capacitor. The current switch has at least one insulated gate bipolar transistor for switching current that is operable to initiate a controllable discharge of the discharge capacitor through the flash lamp. Control means connected to the current switch for controlling the rate of discharge of the discharge capacitor thereby to effectively keep the flash lamp in an ionized state between Successive discharges of the discharge capacitor. Advantageously, the control means is operable to discharge the discharge capacitor at a rate greater than 10,000 Hz and even up to a rate greater than about 250,000 Hz.

  19. Evaluation Ratings Definitions (Excluding Utilization of Small...

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

    (Excluding Utilization of Small Business) Rating Definition Note Exceptional ... Definitions (Utilization of Small Business) Rating Definition Note Exceptional ...

  20. Numerical estimation of adsorption energy distributions from adsorption isotherm data with the expectation-maximization method

    SciTech Connect (OSTI)

    Stanley, B.J.; Guiochon, G. |

    1993-08-01

    The expectation-maximization (EM) method of parameter estimation is used to calculate adsorption energy distributions of molecular probes from their adsorption isotherms. EM does not require prior knowledge of the distribution function or the isotherm, requires no smoothing of the isotherm data, and converges with high stability towards the maximum-likelihood estimate. The method is therefore robust and accurate at high iteration numbers. The EM algorithm is tested with simulated energy distributions corresponding to unimodal Gaussian, bimodal Gaussian, Poisson distributions, and the distributions resulting from Misra isotherms. Theoretical isotherms are generated from these distributions using the Langmuir model, and then chromatographic band profiles are computed using the ideal model of chromatography. Noise is then introduced in the theoretical band profiles comparable to those observed experimentally. The isotherm is then calculated using the elution-by-characteristic points method. The energy distribution given by the EM method is compared to the original one. Results are contrasted to those obtained with the House and Jaycock algorithm HILDA, and shown to be superior in terms of robustness, accuracy, and information theory. The effect of undersampling of the high-pressure/low-energy region of the adsorption is reported and discussed for the EM algorithm, as well as the effect of signal-to-noise ratio on the degree of heterogeneity that may be estimated experimentally.

  1. Expected result of firing an ICE load on Z without vacuum.

    SciTech Connect (OSTI)

    Savage, Mark Edward; Struve, Kenneth William; Lemke, Raymond William

    2010-07-01

    In addressing the issue of the determining the hazard categorization of the Z Accelerator of doing Special Nuclear Material (SNM) experiments the question arose as to whether the machine could be fired with its central vacuum chamber open, thus providing a path for airborne release of SNM materials. In this report we summarize calculations that show that we could only expect a maximum current of 460 kA into such a load in a long-pulse mode, which will be used for the SNM experiments, and 750 kA in a short-pulse mode, which is not useful for these experiments. We also investigated the effect of the current for both cases and found that for neither case is the current high enough to either melt or vaporize these loads, with a melt threshold of 1.6 MA. Therefore, a necessary condition to melt, vaporize, or otherwise disperse SNM material is that a vacuum must exist in the Z vacuum chamber. Thus the vacuum chamber serves as a passive feature that prevents any airborne release during the shot, regardless of whatever containment may be in place.

  2. Neutron diffraction measurements of dislocation density in copper crystals deformed at high strain rate

    SciTech Connect (OSTI)

    Rao, Mala N.; Chaplot, S. L.; Rawat, S.

    2013-02-05

    Neutron diffraction measurements of the rocking curves were carried out for single crystals of copper subjected to dynamic compression at 10{sup 3}/s strain rate. The line broadening is expected to be produced by dislocations, and an analysis of this broadening gives the dislocation density. Dislocation density is found to increase with increase of pressure.

  3. Absorbed dose rates in tissue from prompt gamma emissions from near-thermal neutron absorption

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Schwahn, Scott O.

    2015-10-01

    Prompt gamma emission data from the International Atomic Energy Agency s Prompt Gamma-ray Neutron Activation Analysis database are analyzed to determine the absorbed dose rates in tissue to be expected when natural elements are exposed in a near-thermal neutron environment.

  4. Growth Rates of Global Energy Systems and Future Outlooks

    SciTech Connect (OSTI)

    Hoeoek, Mikael; Li, Junchen; Johansson, Kersti; Snowden, Simon

    2012-03-15

    The world is interconnected and powered by a number of global energy systems using fossil, nuclear, or renewable energy. This study reviews historical time series of energy production and growth for various energy sources. It compiles a theoretical and empirical foundation for understanding the behaviour underlying global energy systems' growth. The most extreme growth rates are found in fossil fuels. The presence of scaling behaviour, i.e. proportionality between growth rate and size, is established. The findings are used to investigate the consistency of several long-range scenarios expecting rapid growth for future energy systems. The validity of such projections is questioned, based on past experience. Finally, it is found that even if new energy systems undergo a rapid 'oil boom'-development-i.e. they mimic the most extreme historical events-their contribution to global energy supply by 2050 will be marginal.

  5. ,"California--Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release

  6. ,"California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release

  7. ,"California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release

  8. Local Solar: What Do Leading Solar Communities Have in Common? It May Not be the Characteristics You Expect

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

    8 Planning December 2015 Local SO What do leading solar communities have in common? It may not be what you expect. By Megan Day, aicp American Planning Association 29 OLAR The recently completed six-acre one- megawatt cooperative solar farm next to Walton Energy Membership Corporation headquarters in Walton County, Georgia, consists of 4,280 solar panels and is expected to produce approximately two million kilowatt-hours of solar electricity per year. COURTESY WALTON ELECTRIC MEMBERSHIP

  9. Expected environments in high-level nuclear waste and spent fuel repositories in salt

    SciTech Connect (OSTI)

    Claiborne, H.C.; Rickertsen, L.D., Graham, R.F.

    1980-08-01

    The purpose of this report is to describe the expected environments associated with high-level waste (HLW) and spent fuel (SF) repositories in salt formations. These environments include the thermal, fluid, pressure, brine chemistry, and radiation fields predicted for the repository conceptual designs. In this study, it is assumed that the repository will be a room and pillar mine in a rock-salt formation, with the disposal horizon located approx. 2000 ft (610 m) below the surface of the earth. Canistered waste packages containing HLW in a solid matrix or SF elements are emplaced in vertical holes in the floor of the rooms. The emplacement holes are backfilled with crushed salt or other material and sealed at some later time. Sensitivity studies are presented to show the effect of changing the areal heat load, the canister heat load, the barrier material and thickness, ventilation of the storage room, and adding a second row to the emplacement configuration. The calculated thermal environment is used as input for brine migration calculations. The vapor and gas pressure will gradually attain the lithostatic pressure in a sealed repository. In the unlikely event that an emplacement hole will become sealed in relatively early years, the vapor space pressure was calculated for three scenarios (i.e., no hole closure - no backfill, no hole closure - backfill, and hole closure - no backfill). It was assumed that the gas in the system consisted of air and water vapor in equilibrium with brine. A computer code (REPRESS) was developed assuming that these changes occur slowly (equilibrium conditions). The brine chemical environment is outlined in terms of brine chemistry, corrosion, and compositions. The nuclear radiation environment emphasized in this report is the stored energy that can be released as a result of radiation damage or crystal dislocations within crystal lattices.

  10. EXPECTED LARGE SYNOPTIC SURVEY TELESCOPE (LSST) YIELD OF ECLIPSING BINARY STARS

    SciTech Connect (OSTI)

    Prsa, Andrej; Pepper, Joshua; Stassun, Keivan G.

    2011-08-15

    In this paper, we estimate the Large Synoptic Survey Telescope (LSST) yield of eclipsing binary stars, which will survey {approx}20,000 deg{sup 2} of the southern sky during a period of 10 years in six photometric passbands to r {approx} 24.5. We generate a set of 10,000 eclipsing binary light curves sampled to the LSST time cadence across the whole sky, with added noise as a function of apparent magnitude. This set is passed to the analysis-of-variance period finder to assess the recoverability rate for the periods, and the successfully phased light curves are passed to the artificial-intelligence-based pipeline ebai to assess the recoverability rate in terms of the eclipsing binaries' physical and geometric parameters. We find that, out of {approx}24 million eclipsing binaries observed by LSST with a signal-to-noise ratio >10 in mission lifetime, {approx}28% or 6.7 million can be fully characterized by the pipeline. Of those, {approx}25% or 1.7 million will be double-lined binaries, a true treasure trove for stellar astrophysics.

  11. Wholesale Power Rate Schedules | Department of Energy

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

    Power Rate Schedules October 1, 2011 CBR-1-H Wholesale Power Rate Schedule Area: Big Rivers and Henderson, KY System: CU October 1, 2011 CM-1-H Wholesale Power Rate...

  12. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: electric load data Type Term Title Author Replies Last Post sort icon...

  13. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: DOE Type Term Title Author Replies Last Post sort icon Blog entry DOE...

  14. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: API Type Term Title Author Replies Last Post sort icon Blog entry API...

  15. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: EZFeed Type Term Title Author Replies Last Post sort icon Blog entry...

  16. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: Database Type Term Title Author Replies Last Post sort icon Blog entry...

  17. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: bug Type Term Title Author Replies Last Post sort icon Discussion bug...

  18. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: energy efficiency Type Term Title Author Replies Last Post sort icon...

  19. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: clean energy Type Term Title Author Replies Last Post sort icon Blog...

  20. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: datasets Type Term Title Author Replies Last Post sort icon Blog entry...

  1. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: FOA Type Term Title Author Replies Last Post sort icon Blog entry FOA...

  2. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: Illinois State University Type Term Title Author Replies Last Post sort...

  3. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: building load Type Term Title Author Replies Last Post sort icon Blog...

  4. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: building load data Type Term Title Author Replies Last Post sort icon...

  5. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: dataset Type Term Title Author Replies Last Post sort icon Blog entry...

  6. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: Energy Visions Prize Type Term Title Author Replies Last Post sort icon...

  7. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: funding Type Term Title Author Replies Last Post sort icon Blog entry...

  8. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate Home > Utility Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: EIA Type Term Title Author Replies Last Post sort icon Blog entry EIA...

  9. LB CRAC Workshops (rates/meetings)

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

    Load-Based (LB) CRAC Power Rate Adjustment Workshop Materials Related Links: Power Rate Adjustments > Load-Based (LB) CRAC December 13, 2006 LB CRAC Workshop Materials (updated...

  10. utility rate | OpenEI Community

    Open Energy Info (EERE)

    utility Utility Companies utility rate Utility Rates version 1 version 2 version 3 web service Smart meter After several months of development and testing, the next...

  11. U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988

    Gasoline and Diesel Fuel Update (EIA)

    U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988 U.S. crude oil production in 2014 is now expected to top 8 million barrels per day for the first time in over a quarter century. The U.S. Energy Information Administration boosted its forecast for daily crude oil production this year by 120,000 barrels to 7.4 million barrels per day. For 2014, EIA's forecast for daily production was revised upward by 310,000 barrels to nearly 8.2 million barrels per

  12. U.S. gasoline price expected to average less than $2 a gallon both this year and next

    Gasoline and Diesel Fuel Update (EIA)

    U.S. gasoline price expected to average less than $2 a gallon both this year and next U.S. drivers are now expected to see back-to-back years of annual average gasoline prices below $2 per gallon for the first time in more than a decade. In its latest monthly forecast, the U.S. Energy Information Administration said low oil prices will keep the average annual price for a gallon of regular-grade gasoline at $1.89 this year and at $1.97 in 2017. The last time gasoline averaged less than $2 for two

  13. U.S. net oil and petroleum product imports expected to fall to just 29 percent of demand in 2014

    Gasoline and Diesel Fuel Update (EIA)

    net oil and petroleum product imports expected to fall to just 29 percent of demand in 2014 With rising domestic crude oil production, the United States will rely less on imports of crude oil and petroleum products to meet domestic demand next year. In its new monthly forecast, the U.S. Energy Information Administration expects total net imports to average 5.4 million barrels per day in 2014. That's down 2 million barrels per day from last year. As a result, the share of U.S. consumption met by

  14. ,"New Mexico--East Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico--East Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. ,"New Mexico--West Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico--West Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"Texas (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. ,"Texas - RRC District 1 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 1 Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  18. ,"Texas - RRC District 10 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 10 Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  19. ,"Texas - RRC District 2 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 2 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  20. ,"Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  1. ,"Texas - RRC District 4 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 4 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  2. ,"Texas - RRC District 5 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 5 Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  3. ,"Texas - RRC District 6 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 6 Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  4. ,"Texas - RRC District 7B Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7B Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  5. ,"Texas - RRC District 7C Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7C Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  6. ,"Texas - RRC District 8 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8 Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  7. ,"Texas - RRC District 8A Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8A Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. ,"Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  9. ,"Texas--RRC District 1 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 1 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  10. ,"Texas--RRC District 10 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 10 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Texas--RRC District 2 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 2 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  12. ,"Texas--RRC District 3 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 3 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"Texas--RRC District 4 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 4 Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"Texas--RRC District 5 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 5 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. ,"Texas--RRC District 6 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 6 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"Texas--RRC District 7B Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 7B Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. ,"Texas--RRC District 7C Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 7C Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  18. ,"Texas--RRC District 8 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 8 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  19. ,"Texas--RRC District 8A Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 8A Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  20. ,"Texas--RRC District 9 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--RRC District 9 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  1. ,"U.S. Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  2. ,"Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  3. ,"Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  4. ,"California (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  5. ,"California - Coastal Region Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Coastal Region Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  6. ,"California - Los Angeles Basin Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Los Angeles Basin Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  7. ,"California - San Joaquin Basin Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. ,"Federal Offshore--California Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--California Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  9. ,"Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  10. ,"Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Gulf of Mexico Federal Offshore - Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  12. ,"Louisiana (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"Mississippi (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. TVA's Shawnee Fossil Plant Unit 6 sets new record for continuous operation

    SciTech Connect (OSTI)

    Peltier, R.

    2008-02-15

    Tennessee Valley Authority's Shawnee Fossil Plant Unit 6 recently set a new 1,093 day continuous run record. The 10 top practices at Shawnee for achieving high performance are discussed.

  16. Lessons learned from reheater replacements TVA Gallatin Fossil Plant units 1 and 2

    SciTech Connect (OSTI)

    Chang, P.S.; Stangarone, R.J.

    1996-07-01

    Gallatin Units 1 and 2 have experienced a long history of problems in the reheat front inlet platens and front outlet pendants. Cracks were discovered at lug welds on the reheat inlet platen assemblies after six years of operation. During the next ten years cracking at lugs continued to be a problem in both the inlet platen and front outlet assemblies. Solutions included changing tube material and spacing, and redesigning lugs. None of the solutions were successful. In 1980, a fuel switch to washed coal was made to reduce boiler slagging. Within two years of the fuel change, liquid phase corrosion began to attack the tubes. The corrosion became severe and elements were replaced at seven year intervals. During this time, EPRI sought utilities with boilers experiencing liquid phase corrosion to test new corrosion resistant materials. Gallatin Unit 2 was selected as one of the test units. Probes containing a number of different alloys were inserted into the furnace and subjected to the corrosion attacks. After a five year study, HR3C was selected as the alloy from which to build a complete set of elements for further testing. Reheat assemblies were manufactured from HR3C and installed in Unit 2 and Unit 1 Shortly after Unit 1 returned to service, swages between the front pendant and inlet platen elements failed by brittle fracture due to the cold swaging operation used in fabrication. Cracks were discovered after two years of operation at the tube to lug welds and the new elements were experiencing the same liquid phase corrosion as in the past. The attempt to resolve the liquid phase corrosion problem in Gallatin Units 1 and 2 pendant reheater revealed that past replacements did not address the root cause of the problems. HR3C is a relatively brittle material and manufacturers used traditional methods to design and fabricate the elements. Inadequate fabrication and erection procedures have led to several in-service problems not associated with liquid phase corrosion.

  17. Combined Retrieval, Microphysical Retrievals and Heating Rates

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

    Feng, Zhe

    2013-02-22

    Microphysical retrievals and heating rates from the AMIE/Gan deployment using the PNNL Combined Retrieval.

  18. Combined Retrieval, Microphysical Retrievals and Heating Rates

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

    Feng, Zhe

    Microphysical retrievals and heating rates from the AMIE/Gan deployment using the PNNL Combined Retrieval.

  19. Wholesale Power Rate Schedules | Department of Energy

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

    Rate Schedules » Wholesale Power Rate Schedules Wholesale Power Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina October 1, 2012 Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina October 1, 2012 Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina October 1, 2012 Duke-3-E Wholesale Power Rate Schedule Area: None

  20. Towards More Transmission Asset Utilization through Real-time Path Rating

    SciTech Connect (OSTI)

    Diao, Ruisheng; Huang, Zhenyu; Jin, Chunlian; Vyakaranam, Bharat GNVSR; Jin, Shuangshuang; Makarov, Yuri V.

    2013-10-21

    Ratings of transmission paths, typically determined in an offline environment, are static and tend to be conservative, leading to underutilization of transmission assets, higher costs of system operation and renewable energy integration, and lower efficiency and savings. With the ever-increasing transmission congestion costs and new challenges from renewable integration, increasing transfer capacity of existing transmission lines is essential. Real-time path rating provides a promising approach to enabling additional power transfer capability and fully utilizing transfer capability. In this paper, the feasibility of real-time path rating is investigated. Several promising technologies to achieve real-time path rating are discussed. Various benefits that can be expected from real-time path rating, such as increased transfer capability and reduced total generation cost, are demonstrated through simulations conducted on the Western Electricity Coordinating Council system model.

  1. Better Buildings Residential Network Workforce Peer Exchange Call Series: Quality Control, Standardization of Upgrades, and Workforce Expectations, March 27, 2014

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

    Workforce Peer Exchange Call Series: Quality Control, Standardization of Upgrades, and Workforce Expectations March 27, 2014 Agenda 2  Call Logistics and Introductions  BBRN and Peer Exchange Call Overview  Featured Speakers - QA/QC Approaches & Lessons Learned  Dan Wildenhaus -Technical and QC Lead for Seattle's Community Power Works Program and Senior Building Scientist at CLEAResult  Brian Atchinson - Associate Project Manager, Quality, Standards and Compliance, New York

  2. 2014-2015 Power Rate Schedules

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

    4 Power Rate Schedules and General Rate Schedule Provisions (FY 2014-2015) October 2013 United States Department of Energy Bonneville Power Administration 905 N.E. 11th Avenue...

  3. Energy Efficiency Interest Rate Reduction Program

    Broader source: Energy.gov [DOE]

    For new and existing home purchases that are rated 6 Star or 5 Star Plus, applicants are eligible for an interest rate reduction for the first $200,000 of the loan amount, with a blended interest...

  4. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Rate > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: American Clean Skies Foundation Type Term Title Author Replies Last Post sort icon Blog entry...

  5. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Utility Rate Home > Groups > Groups > Utility Rate Content Group Activity By term Q & A Feeds There are no feeds from external sites for this group. Groups Menu You must login in...

  6. Category:Utility Rates | Open Energy Information

    Open Energy Info (EERE)

    Rates Jump to: navigation, search Add a new Utility Rate This category currently contains no pages or media. Retrieved from "http:en.openei.orgwindex.php?titleCategory:Utility...

  7. ORISE: Report shows nuclear engineering graduation rates on the rise in

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

    2013 ORISE report shows nuclear engineering graduation rates on the rise in 2013 Number of graduate degrees expected to remain consistent, but undergraduate degrees could see decrease come 2015 FOR IMMEDIATE RELEASE March 3, 2014 FY14-11 OAK RIDGE, Tenn.-The number of college students graduating with majors in nuclear engineering continues to increase, according to a report by the Oak Ridge Institute for Science and Education, which surveyed 32 U.S. universities with nuclear engineering

  8. Residential Solar Valuation Rates | Department of Energy

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

    Residential Solar Valuation Rates Residential Solar Valuation Rates This presentation summarizes the information discussed by Rabago Energy during the Best Practices in the Design of Utility Solar Programs Webinar on Sept. 27, 2012. PDF icon utility_design_rabago_energy.pdf More Documents & Publications Austin Energy's Residential Solar Rate QER - Comment of Energy Innovation 1 QER - Comment of Energy Innovation 8

  9. HIgh Rate X-ray Fluorescence Detector

    SciTech Connect (OSTI)

    Grudberg, Peter Matthew

    2013-04-30

    The purpose of this project was to develop a compact, modular multi-channel x-ray detector with integrated electronics. This detector, based upon emerging silicon drift detector (SDD) technology, will be capable of high data rate operation superior to the current state of the art offered by high purity germanium (HPGe) detectors, without the need for liquid nitrogen. In addition, by integrating the processing electronics inside the detector housing, the detector performance will be much less affected by the typically noisy electrical environment of a synchrotron hutch, and will also be much more compact than current systems, which can include a detector involving a large LN2 dewar and multiple racks of electronics. The combined detector/processor system is designed to match or exceed the performance and features of currently available detector systems, at a lower cost and with more ease of use due to the small size of the detector. In addition, the detector system is designed to be modular, so a small system might just have one detector module, while a larger system can have many ?? you can start with one detector module, and add more as needs grow and budget allows. The modular nature also serves to simplify repair. In large part, we were successful in achieving our goals. We did develop a very high performance, large area multi-channel SDD detector, packaged with all associated electronics, which is easy to use and requires minimal external support (a simple power supply module and a closed-loop water cooling system). However, we did fall short of some of our stated goals. We had intended to base the detector on modular, large-area detectors from Ketek GmbH in Munich, Germany; however, these were not available in a suitable time frame for this project, so we worked instead with pnDetector GmbH (also located in Munich). They were able to provide a front-end detector module with six 100 m^2 SDD detectors (two monolithic arrays of three elements each) along with associated preamplifiers; these detectors surpassed the performance we expected to get from the Ketek detectors, however they are housed in a sealed module, which does not offer the ease of repair and expandability we??d hoped to achieve with the Ketek SDD??s. Our packaging efforts were quite successful, as we came up with a very compact way to mount the detector and to house the associated electronics, as well as a very effective way to reliably take out the heat (from the electronics as well as the detector??s Peltier coolers) without risk of condensation and without external airflow or vibration, which could create problems for the target applications. While we were able to design compact processing electronics that fit into the detector assembly, they are still at the prototype stage, and would require a significant redesign to achieve product status. We have not yet tested this detector at a synchrotron facility; we do still plan on working with some close contacts at the nearby Stanford Synchrotron Radiation Laboratory (SSRL) to get some testing with the beam (using existing commercial electronics for readout, as the integrated processor is not ready for use).

  10. Rate-based degradation modeling of lithium-ion cells

    SciTech Connect (OSTI)

    E.V. Thomas; I. Bloom; J.P. Christophersen; V.S. Battaglia

    2012-05-01

    Accelerated degradation testing is commonly used as the basis to characterize battery cell performance over a range of stress conditions (e.g., temperatures). Performance is measured by some response that is assumed to be related to the state of health of the cell (e.g., discharge resistance). Often, the ultimate goal of such testing is to predict cell life at some reference stress condition, where cell life is defined to be the point in time where performance has degraded to some critical level. These predictions are based on a degradation model that expresses the expected performance level versus the time and conditions under which a cell has been aged. Usually, the degradation model relates the accumulated degradation to the time at a constant stress level. The purpose of this article is to present an alternative framework for constructing a degradation model that focuses on the degradation rate rather than the accumulated degradation. One benefit of this alternative approach is that prediction of cell life is greatly facilitated in situations where the temperature exposure is not isothermal. This alternative modeling framework is illustrated via a family of rate-based models and experimental data acquired during calendar-life testing of high-power lithium-ion cells.

  11. Seismic Design Expectations Report

    Office of Environmental Management (EM)

    ldg. 3019 60% rned from this r ule. ) Post Ope design review review have be eration w as part een Standard Review Plan, 2 nd Edition, March 2010 i FOREWORD The Standard Review...

  12. Public Utilities Specialist (Rates) | Department of Energy

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

    Public Utilities Specialist (Rates) Public Utilities Specialist (Rates) Submitted by admin on Fri, 2016-01-08 00:16 Job Summary Organization Name Department Of Energy Agency SubElement Western Area Power Administration Locations Phoenix, Arizona Announcement Number WAPA-16-DE-70 Job Summary (See Frequently Asked Questions for more information). Where would I be working? Western Area Power Administration, Desert Southwest Region, Power Marketing, Rates and Alternative Financing, Phoenix, AZ

  13. NREL: Photovoltaics Research - Photovoltaic Energy Ratings Methods

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

    Validation Photovoltaic Energy Ratings Methods Validation The Photovoltaic (PV) Engineering group at NREL validates energy ratings methods by standards committees to establish an energy rating methodology. We are evaluating techniques to account for the impact on PV performance from variations in the spectral distribution of solar radiation. Two types of methods were evaluated for correcting the short-circuit current of PV modules for variations in the solar spectrum under clear skies: (1)

  14. OpenEI Community - utility rate

    Open Energy Info (EERE)

    title"" >After several months of development and testing, the next generation web service for the utility rate database is finally here I encourage you to check out...

  15. CM-1-H Wholesale Power Rate Schedule

    Broader source: Energy.gov [DOE]

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

  16. Method of controlling fusion reaction rates

    DOE Patents [OSTI]

    Kulsrud, R.M.; Furth, H.P.; Valeo, E.J.; Goldhaber, M.

    1983-05-09

    This invention relates to a method of controlling the reaction rates in a nuclear fusion reactor; and more particularly, to the use of polarized nuclear fuel.

  17. Photovoltaic Degradation Rates -- An Analytical Review

    SciTech Connect (OSTI)

    Jordan, D. C.; Kurtz, S. R.

    2012-06-01

    As photovoltaic penetration of the power grid increases, accurate predictions of return on investment require accurate prediction of decreased power output over time. Degradation rates must be known in order to predict power delivery. This article reviews degradation rates of flat-plate terrestrial modules and systems reported in published literature from field testing throughout the last 40 years. Nearly 2000 degradation rates, measured on individual modules or entire systems, have been assembled from the literature, showing a median value of 0.5%/year. The review consists of three parts: a brief historical outline, an analytical summary of degradation rates, and a detailed bibliography partitioned by technology.

  18. BPA issues final decision on oversupply rate

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

    is consistent with our multiple statutory responsibilities, is rooted in the basic principles of cost causation and fairness that underlie BPA's rate directives, and...

  19. Introducing the Attachments Energy Ratings Council

    Broader source: Energy.gov [DOE]

    In collaboration with the U.S. Department of Energy (DOE), the Window Covering Manufacturers Association (WCMA) has launched the Attachments Energy Ratings Council (AERC).

  20. Floating Rate Agreement | Department of Energy

    Office of Environmental Management (EM)

    & Publications Fixed Rate Agreement Federal Loan Guarantees for Projects that Manufacture Commercial Technology Renewable Energy Systems and Components: August 10, 2010...

  1. Deviations from tribimaximal mixing due to the vacuum expectation value misalignment in A{sub 4} models

    SciTech Connect (OSTI)

    Barry, James; Rodejohann, Werner

    2010-05-01

    The addition of an A{sub 4} family symmetry and extended Higgs sector to the standard model can generate the tribimaximal mixing pattern for leptons, assuming the correct vacuum expectation value alignment of the Higgs scalars. Deviating this alignment affects the predictions for the neutrino oscillation and neutrino mass observables. An attempt is made to classify the plethora of models in the literature, with respect to the chosen A{sub 4} particle assignments. Of these models, two particularly popular examples have been analyzed for deviations from tribimaximal mixing by perturbing the vacuum expectation value alignments. The effect of perturbations on the mixing angle observables is studied. However, it is only investigation of the mass-related observables (the effective mass for neutrinoless double beta decay and the sum of masses from cosmology) that can lead to the exclusion of particular models by constraints from future data, which indicates the importance of neutrino mass in disentangling models. The models have also been tested for fine-tuning of the parameters. Furthermore, a well-known seesaw model is generalized to include additional scalars, which transform as representations of A{sub 4} not included in the original model.

  2. 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.

  3. DOE Commercial Building Energy Asset Rating: Market Research and Program Direction

    SciTech Connect (OSTI)

    Wang, Na; Taylor, Cody; McCabe, Molly J.

    2012-08-12

    This paper presents the development of a voluntary energy asset rating system, to evaluate the physical characteristics and as-built energy efficiency of new and existing commercial buildings. The energy asset rating system is intended to enable commercial building stakeholders to directly compare expected as-built energy performance among similar buildings and to analyze the potential for capital improvements to increase energy efficiency cost-effectively. Market research has been performed to understand the market demand and how to communicate energy and cost savings to owners, investors, financiers, and others to overcome market barriers and motivate capital investment in building energy efficiency. The paper discusses the findings of the market research. Building owners are concerned about redundancy, conflicting requirements, and cost. They also pointed out a data gap and desire a rating program that identifies improvement opportunities. A meaningful linkage between the energy asset rating and other rating systems is essential. Based on the findings, criteria for a successful energy asset rating program have been developed to direct the program design, including validity of ratings, actionable, cost effective recommendations, effective quality control, integration with other rating systems, and necessary training and education. In addition to the rating system, an asset rating tool is being developed to reduce cost and increase standardization, allowing for consistent and reliable comparisons among and between buildings. The asset rating tool is the first step in the process by which owners can enter information about their building structure and receive information on the buildings modeled performance and recommended efficiency measures.

  4. Method of controlling fusion reaction rates

    DOE Patents [OSTI]

    Kulsrud, Russell M. (Princeton, NJ); Furth, Harold P. (Princeton, NJ); Valeo, Ernest J. (Princeton Junction, NJ); Goldhaber, Maurice (Bayport, NY)

    1988-01-01

    A method of controlling the reaction rates of the fuel atoms in a fusion reactor comprises the step of polarizing the nuclei of the fuel atoms in a particular direction relative to the plasma confining magnetic field. Fusion reaction rates can be increased or decreased, and the direction of emission of the reaction products can be controlled, depending on the choice of polarization direction.

  5. Revenue-stability-target rate making

    SciTech Connect (OSTI)

    Chernick, P.L.

    1983-02-17

    The commonly used rate-making approaches necessarily base themselves on assumptions, vital to their success, about future levels of utility aservice sales. But since sales are a function of random variables beyond the control of the utility as well as actions by the utility itself, the resulting rates fail to protect the utility's revenue stream and its realized rate of return. This article proposes an alternative approach which would decouple utility revenues from sales, thus stabilizing revenue streams with respect to sales fluctuations and rate design changes. Among the benefits would be a lower cost of capital for the utility, as well as decreased utility resistance to conservation by consumers and to efficient rate design.

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

    DOE Patents [OSTI]

    Perez, Richard

    2005-05-03

    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.

  7. Measuring Degradation Rates Without Irradiance Data

    SciTech Connect (OSTI)

    Pulver, S.; Cormode, D.; Cronin, A.; Jordan, D.; Kurtz, S.; Smith, R.

    2011-02-01

    A method to report PV system degradation rates without using irradiance data is demonstrated. First, a set of relative degradation rates are determined by comparing daily AC final yields from a group of PV systems relative to the average final yield of all the PV systems. Then, the difference between relative and absolute degradation rates is found from a statistical analysis. This approach is verified by comparing to methods that utilize irradiance data. This approach is significant because PV systems are often deployed without irradiance sensors, so the analysis method described here may enable measurements of degradation using data that were previously thought to be unsuitable for degradation studies.

  8. Considerations for How to Rate CPV

    SciTech Connect (OSTI)

    Kurtz, S.; Miller, M.; Marion, B.; Emery, K.; McConnell, R.; Surendran, S.; Kimber, A.

    2011-02-01

    The concentrator photovoltaic (CPV) industry is introducing multiple products into the marketplace, but, as yet, the; community has not embraced a unified method for assessing a nameplate rating. The choices of whether to use 850,; 900, or 1000 W/m2 for the direct-normal irradiance and whether to link the rating to ambient or cell temperature will; affect how CPV modules are rated and compared with other technologies. This paper explores the qualitative and; quantitative ramifications of these choices using data from two multi-junction CPV modules and two flat-plate; modules.

  9. Property:OpenEI/UtilityRate/DemandRateStructure/Tier2Adjustment...

    Open Energy Info (EERE)

    search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateDemandRateStructureTier2Adjustment&oldid539746...

  10. Property:OpenEI/UtilityRate/DemandRateStructure/Tier5Max | Open...

    Open Energy Info (EERE)

    navigation, search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateDemandRateStructureTier5Max&oldid539754...

  11. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier1Max | Open...

    Open Energy Info (EERE)

    navigation, search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateEnergyRateStructureTier1Max&oldid539766...

  12. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier1Sell | Open...

    Open Energy Info (EERE)

    navigation, search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateEnergyRateStructureTier1Sell&oldid539770...

  13. Property:OpenEI/UtilityRate/DemandRateStructure/Tier6Adjustment...

    Open Energy Info (EERE)

    search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateDemandRateStructureTier6Adjustment&oldid539759...

  14. Property:OpenEI/UtilityRate/DemandRateStructure/Tier4Max | Open...

    Open Energy Info (EERE)

    navigation, search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateDemandRateStructureTier4Max&oldid539751...

  15. Getting Rate Information from the utility_rates api | OpenEI...

    Open Energy Info (EERE)

    Getting Rate Information from the utilityrates api Home > Groups > Utility Rate Hello, I am trying to use the API to generate information similar to what you can see here: http:...

  16. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier4Sell | Open...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateEnergyRateStructureTier4Sell Jump to: navigation, search This is a property of type...

  17. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier3Adjustment...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateEnergyRateStructureTier3Adjustment Jump to: navigation, search This is a property of type...

  18. Property:OpenEI/UtilityRate/EnergyRateStructure/Tier5Sell | Open...

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:OpenEIUtilityRateEnergyRateStructureTier5Sell Jump to: navigation, search This is a property of type...

  19. Property:OpenEI/UtilityRate/EnergyRateStructure/Period | Open...

    Open Energy Info (EERE)

    This is a property of type Number. The allowed values for this property are: 1 2 3 4 5 6 7 8 9 Pages using the property "OpenEIUtilityRateEnergyRateStructurePeriod" Showing...

  20. PSNC Energy (Gas)- Green Building Rate Discount

    Broader source: Energy.gov [DOE]

    This discounted rate is available to commercial customers whose building meets the U.S. Green Building Council’s Leadership in Energy and Environmental Design (LEED) certification or equivalent. To...

  1. Minority Utility Rate Design Assessment Model

    Energy Science and Technology Software Center (OSTI)

    2003-01-20

    Econometric model simulates consumer demand response to various user-supplied, two-part tariff electricity rate designs and assesses their economic welfare impact on black, hispanic, poor and majority households.

  2. Dynamic Line Rating: Research and Policy Evaluation

    SciTech Connect (OSTI)

    Jake P. Gentle; Kurt S. Myers; Michael R. West

    2014-07-01

    Dynamic Line Rating (DLR) is a smart grid technology that allows the rating of electrical conductors to be increased based on local weather conditions. Overhead lines are conventionally given a conservative rating based on worst case scenarios. We demonstrate that observing the conditions in real time leads to additional capacity and safer operation. This paper provides a report of a pioneering scheme in the United States of America in which DLR has been applied. Thereby, we demonstrate that observing the local weather conditions in real time leads to additional capacity and safer operation. Secondly, we discuss limitations involved. In doing so, we arrive at novel insights which will inform and improve future DLR projects. Third, we provide a policy background and discussion to clarify the technology’s potential and identifies barriers to the imminent adoption of dynamic line rating systems. We provide suggestions for regulatory bodies about possible improvements in policy to encourage adoption of this beneficial technology.

  3. BPA Power Rates (pbl/main)

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

    ASC Methodology Adjustments (2007-2009) Adjustments (2002-2006) Previous Rate Cases Financial Choices (2003-06) Power Function Review (PFR) Firstgov BPA Fuel Mix 2012 2013 2014...

  4. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    > Posts by term > Utility Rate Content Group Activity By term Q & A Feeds Term: Global Atlas Type Term Title Author Replies Last Post sort icon Blog entry Global Atlas IRENA...

  5. Utility Rates | OpenEI Community

    Open Energy Info (EERE)

    Rates I'm considering removing the "Show Preview" button, since it does not work (javascript validation issue that could be fixed), and it doesn't make sense. The reason to...

  6. Uncertainty Analysis for Photovoltaic Degradation Rates (Poster)

    SciTech Connect (OSTI)

    Jordan, D.; Kurtz, S.; Hansen, C.

    2014-04-01

    Dependable and predictable energy production is the key to the long-term success of the PV industry. PV systems show over the lifetime of their exposure a gradual decline that depends on many different factors such as module technology, module type, mounting configuration, climate etc. When degradation rates are determined from continuous data the statistical uncertainty is easily calculated from the regression coefficients. However, total uncertainty that includes measurement uncertainty and instrumentation drift is far more difficult to determine. A Monte Carlo simulation approach was chosen to investigate a comprehensive uncertainty analysis. The most important effect for degradation rates is to avoid instrumentation that changes over time in the field. For instance, a drifting irradiance sensor, which can be achieved through regular calibration, can lead to a substantially erroneous degradation rates. However, the accuracy of the irradiance sensor has negligible impact on degradation rate uncertainty emphasizing that precision (relative accuracy) is more important than absolute accuracy.

  7. Contract and Tiered Rate Methodology Overview

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

    historical demand to provide incentive to lower their peak by providing a marginal price signal on an incremental component of demand. The CDQs are calculated outside of the rate...

  8. Utility Rate | OpenEI Community

    Open Energy Info (EERE)

    Utility Rate Home > Groups Content Group Activity By term Q & A Feeds Share your own status updates, and follow the updates & activities of others by creating your own account. Or,...

  9. Revenue instability induced by conservation rates

    SciTech Connect (OSTI)

    Chesnutt, T.W.; McSpadden, C.; Christianson, J.

    1996-01-01

    The shift toward conservation rate structures, although they may provide better incentives to use scarce water wisely, changes who pays what and can increase the variability of future revenue streams to the water agency. Though the definition of the correct rate structure varies by community, the managerial strategies necessary to cope with the uncertainty brought about by conservation rate structures apply universally. Revenue instability directly increases water supplier`s borrowing costs and adds indirect costs in the form of more complicated planning to provide for a reliable future water supply. This article describes an empirical study using data from two water agencies that have adopted conservation rate structures. The article proposes ways quantitative tools may be used to (1) measure and cope with added uncertainty and (2) make explicit the magnitude of trade-offs between revenue stability, equity, and the provision of incentives for efficient use of water resources.

  10. Extended range radiation dose-rate monitor

    DOE Patents [OSTI]

    Valentine, Kenneth H. (Knoxville, TN)

    1988-01-01

    An extended range dose-rate monitor is provided which utilizes the pulse pileup phenomenon that occurs in conventional counting systems to alter the dynamic response of the system to extend the dose-rate counting range. The current pulses from a solid-state detector generated by radiation events are amplified and shaped prior to applying the pulses to the input of a comparator. The comparator generates one logic pulse for each input pulse which exceeds the comparator reference threshold. These pulses are integrated and applied to a meter calibrated to indicate the measured dose-rate in response to the integrator output. A portion of the output signal from the integrator is fed back to vary the comparator reference threshold in proportion to the output count rate to extend the sensitive dynamic detection range by delaying the asymptotic approach of the integrator output toward full scale as measured by the meter.

  11. Calibration and Rating of Photovoltaics: Preprint

    SciTech Connect (OSTI)

    Emery, K.

    2012-06-01

    Rating the performance of photovoltaic (PV) modules is critical to determining the cost per watt, and efficiency is useful to assess the relative progress among PV concepts. Procedures for determining the efficiency for PV technologies from 1-sun to low concentration to high concentration are discussed. We also discuss the state of the art in primary and secondary calibration of PV reference cells used by calibration laboratories around the world. Finally, we consider challenges to rating PV technologies and areas for improvement.

  12. ARM - Lesson Plans: Rate of Coral Growth

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

    Rate of Coral Growth Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Lesson Plans: Rate of Coral Growth Objective The objective is to understand the fact that the growth of coral depends on water depth and the effect of sea level changes on corals. Materials Each student or group of students

  13. Realization rates of the National Energy Audit

    SciTech Connect (OSTI)

    Berry, L.G.; Gettings, M.B.

    1998-11-01

    Engineering estimates of savings resulting from installation of energy conservation measures in homes are often greater than the savings actually realized. A brief review of prior studies of realization rates prefaces this study of rates from an engineering audit tool, NEAT, (developed for the Department of Energy`s Low-Income Weatherization Assistance Program) used in a New York state utility`s low-income program. Estimates of metered and predicted savings are compared for 49 homes taken from a data base of homes that participated in the first year of the utility`s program. Average realization rates ranging from 57% to 69% result, depending on the data quality. Detailed examinations of two houses using an alternate engineering method, the DOE-2 computer program (considered an industry standard), seem to indicate that the low realization rates mainly result from factors other than inaccuracies in the audit`s internal algorithms. Causes of the low realization rates are examined, showing that the strongest single factor linked to the low rates in this study is the use of secondary heating fuels that supplement the primary heating fuel. This study, like the other similar studies, concludes that engineering estimates are valuable tools in determining ranked lists of cost-effective weatherization measures, but may not be accurate substitutes for measured results in evaluating program performance.

  14. Calculation of Reactive-evaporation Rates of Chromia

    SciTech Connect (OSTI)

    Holcomb, G.R.

    2008-04-01

    A methodology is developed to calculate Cr-evaporation rates from Cr2O3 with a flat planar geometry. Variables include temperature, total pressure, gas velocity, and gas composition. The methodology was applied to solid-oxide, fuel cell conditions for metallic interconnects and to advanced-steam turbines conditions. The high velocities and pressures of the advanced steam turbine led to evaporation predictions as high as 5.18 9 10-8 kg/m2/s of CrO2(OH)2(g) at 760 C and 34.5 MPa. This is equivalent to 0.080 mm per year of solid Cr loss. Chromium evaporation is expected to be an important oxidation mechanism with the types of nickel-base alloys proposed for use above 650 C in advanced-steam boilers and turbines. It is shown that laboratory experiments, with much lower steam velocities and usually much lower total pressure than found in advanced steam turbines, would best reproduce chromium-evaporation behavior with atmospheres that approach either O2 + H2O or air + H2O with 57% H2O.

  15. Probing the cosmic gamma-ray burst rate with trigger simulations of the swift burst alert telescope

    SciTech Connect (OSTI)

    Lien, Amy; Cannizzo, John K. [Center for Research and Exploration in Space Science and Technology (CRESST) and NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Sakamoto, Takanori [Department of Physics and Mathematics, College of Science and Engineering, Aoyama Gakuin University, 5-10-1 Fuchinobe, Chuo-ku, Sagamihara-shi, Kanagawa 252-5258 (Japan); Gehrels, Neil; Barthelmy, Scott D. [NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Palmer, David M. [Los Alamos National Laboratory, B244, Los Alamos, NM 87545 (United States); Graziani, Carlo [Astronomy Department, The University of Chicago, Chicago, IL 60637 (United States)

    2014-03-01

    The gamma-ray burst (GRB) rate is essential for revealing the connection between GRBs, supernovae, and stellar evolution. Additionally, the GRB rate at high redshift provides a strong probe of star formation history in the early universe. While hundreds of GRBs are observed by Swift, it remains difficult to determine the intrinsic GRB rate due to the complex trigger algorithm of Swift. Current studies of the GRB rate usually approximate the Swift trigger algorithm by a single detection threshold. However, unlike the previously flown GRB instruments, Swift has over 500 trigger criteria based on photon count rate and an additional image threshold for localization. To investigate possible systematic biases and explore the intrinsic GRB properties, we develop a program that is capable of simulating all the rate trigger criteria and mimicking the image threshold. Our simulations show that adopting the complex trigger algorithm of Swift increases the detection rate of dim bursts. As a result, our simulations suggest that bursts need to be dimmer than previously expected to avoid overproducing the number of detections and to match with Swift observations. Moreover, our results indicate that these dim bursts are more likely to be high redshift events than low-luminosity GRBs. This would imply an even higher cosmic GRB rate at large redshifts than previous expectations based on star formation rate measurements, unless other factors, such as the luminosity evolution, are taken into account. The GRB rate from our best result gives a total number of 4568{sub ?1429}{sup +825} GRBs per year that are beamed toward us in the whole universe.

  16. Benchmarking the energy efficiency of Dutch industry: An assessment of the expected effect on energy consumption and CO2 emissions

    SciTech Connect (OSTI)

    Phylipsen, Dian; Blok, Kornelis; Worrell, Ernst; De Beer, Jeroen

    2002-06-01

    As part of its energy and climate policy the Dutch government has reached an agreement with the Dutch energy-intensive industry that is explicitly based on industry's relative energy efficiency performance. The energy efficiency of the Dutch industry is benchmarked against that of comparable industries in countries world-wide. In the agreement, industry is required to belong to the top-of-the-world in terms of energy efficiency. In return, the government refrains from implementing additional climate policies.This article assesses the potential effects of this agreement on energy consumption and CO2 emissions by comparing the current level of energy efficiency of the Dutch industry - including electricity production - to that of the most efficient countries and regions. At the current structure achieving the regional best practice level for the selected energy-intensive industries would result in a 5plus or minus 2 percent lower current primary energy consumption than the actual level. Most of the savings are expected in the petrochemical industry and in electricity generation. Avoided CO2 emissions would amount to 4 Mt CO2. A first estimate of the effect of the benchmarking agreement in 2012 suggests primary energy savings of 50-130 PJ or 5-10 Mt CO2 avoided compared to the estimated Business as Usual development (5-15 percent). This saving is smaller than what a continuation of the existing policies of Long Term Agreements would probably deliver.

  17. Aerosol Properties from Multi-spectral and Multi-angular Aircraft 4STAR Observations: Expected Advantages and Challenges

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Flynn, Connor J.; Redemann, Jens; Schmid, Beat; Russell, P. B.; Sinyuk, Alexander

    2012-11-01

    The airborne Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) is developed to retrieve aerosol microphysical and optical properties from multi-angular and multi-spectral measurements of sky radiance and direct-beam sun transmittance. The necessarily compact design of the 4STAR may cause noticeable apparent enhancement of sky radiance at small scattering angles. We assess the sensitivity of expected 4STAR-based aerosol retrieval to such enhancement by applying the operational AERONET retrieval code and constructed synthetic 4STARlike data. Also, we assess the sensitivity of the broadband fluxes and the direct aerosol radiative forcing to uncertainties in aerosol retrievals associated with the sky radiance enhancement. Our sensitivity study results suggest that the 4STARbased aerosol retrieval has limitations in obtaining detailed information on particle size distribution and scattering phase function. However, these limitations have small impact on the retrieved bulk optical parameters, such as the asymmetry factor (up to 4%, or 0.02) and single-scattering albedo (up to 2%, or 0.02), and the calculated direct aerosol radiative forcing (up to 6%, or 2 Wm-2).

  18. Widget:UtilityRateNamingHelper | Open Energy Information

    Open Energy Info (EERE)

    UtilityRateNamingHelper Jump to: navigation, search This widget displays the utility rate database form. For example: Widget:UtilityRateNamingHelper Retrieved from "http:...

  19. Hydrogen Generation Rate Scoping Study of DOW Corning Antifoam Agent

    SciTech Connect (OSTI)

    Crawford, Charles

    2005-09-27

    The antifoam agent DOW Corning Q2-3183A will be added to waste streams in the Hanford River Protection Program-Waste Treatment and Immobilization Plant (RPP-WTP) to prevent foaming. It consists mostly of polydimethylsiloxane (PDMS) and polypropylene glycol (PPG). These and other minor constituents of the antifoam have organic constituents that may participate in radiolytic and chemical reactions that produce hydrogen in Hanford waste. It has been recommended by The WTP R&T Department recommended personnel to treat the organic compounds of the antifoam like the in a similar manner as other organic compounds that are native to the Hanford waste with respect to hydrogen production. This testing has investigated the radiolytic and thermal production of hydrogen from antifoam added to simulant waste solutions to determine if the organic components of the antifoam produce hydrogen in the same manner as the native organic species in Hanford waste. Antifoam additions for this testing were in the range of 4 to 10 wt% to ensure adequate hydrogen detection. Test conditions were selected to bound exposures to the antifoam agent in the WTP. These levels are higher than previously recommended values of 350 mg/L for actual applications in WTP tanks containing air spargers and pulse jet mixers. Limited degradation analyses for the organic components of the antifoam were investigated in this study. A more detailed study involving analyses of antifoam degradation and product formation is in progress at SRNL and results from that study will be reported at a later time. The total organic carbon (TOC) content of the Q2-3183A antifoam was measured to be 39.7 {+-} 4.9 wt% TOC. This measurement was performed in triplicate with on three different dilutions of the pure antifoam liquid using a TOC combustion analyzer instrument with catalytic oxidation, followed by CO{sub 2} quantification using an infrared detector. Test results from this study indicate that the WTP HGR correlation conservatively bounds hydrogen generation rates (HGRs) from antifoam-containing simulants if the antifoam organic components are treated the same as other native organics. Tests that used the combination of radiolysis and thermolysis conducted on simulants containing antifoam produced measured hydrogen that was bounded by the WTP correlation. These tests used the bounding WTP temperature of 90 C and a dose rate of 1.8 x 10{sup 5} rad/hr. This dose rate is about ten times higher than the dose rate equivalent calculated for a bounding Hanford sludge slurry composition of 10 Ci/L, or 2 x 10{sup 4} rad/hr. Hydrogen was measured using a quadrupole mass spectroscopy instrument. Based on the analyses from the 4wt% and 10wt% antifoam samples, it is expected that the HGR results are directly proportional to the antifoam concentration added. A native organic-containing simulant that did not contain any added antifoam also produced a measurable radiolytic/thermal hydrogen rates that was in bounded by the WTP correlation. A base simulant with no added organic produced a measurable radiolytic/thermal HGR that was {approx}2X higher than the predicted HGR. Analysis of antifoam-containing simulants after prolonged irradiation of 52 Mrad and heating (23 days at 90 C) indicates that essentially all of the PDMS and greater than 60% of the PPG components are degraded, likely to lower molecular weight species. The antifoam components were analyzed by extraction from the salt simulants, followed by gel permeation chromatography (GPC) by personnel at Dow Corning. A more detailed study of the antifoam degradation and product formation from radiolysis and thermolysis is currently in progress at SRNL. That study uses a dose rate of about 2 x 10{sup 4} rad/hr and bounding temperatures of 90 C. Results from that study will be reported in a future report.

  20. Text-Alternative Version: The L Prize-Winning LED A19 Replacement—What Commercial Building Owners/Operators Can Expect in 2012

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "The L Prize-Winning LED A19 Replacement—What Commercial Building Owners/Operators Can Expect in 2012" webcast, held January 18, 2012.

  1. Analytical Improvements in PV Degradation Rate Determination

    SciTech Connect (OSTI)

    Jordan, D. C.; Kurtz, S. R.

    2011-02-01

    As photovoltaic (PV) penetration of the power grid increases, it becomes vital to know how decreased power output may affect cost over time. In order to predict power delivery, the decline or degradation rates must be determined accurately. For non-spectrally corrected data several complete seasonal cycles (typically 3-5 years) are required to obtain reasonably accurate degradation rates. In a rapidly evolving industry such a time span is often unacceptable and the need exists to determine degradation rates accurately in a shorter period of time. Occurrence of outliers and data shifts are two examples of analytical problems leading to greater uncertainty and therefore to longer observation times. In this paper we compare three methodologies of data analysis for robustness in the presence of outliers, data shifts and shorter measurement time periods.

  2. Aqueous Corrosion Rates for Waste Package Materials

    SciTech Connect (OSTI)

    S. Arthur

    2004-10-08

    The purpose of this analysis, as directed by ''Technical Work Plan for: Regulatory Integration Modeling and Analysis of the Waste Form and Waste Package'' (BSC 2004 [DIRS 171583]), is to compile applicable corrosion data from the literature (journal articles, engineering documents, materials handbooks, or standards, and national laboratory reports), evaluate the quality of these data, and use these to perform statistical analyses and distributions for aqueous corrosion rates of waste package materials. The purpose of this report is not to describe the performance of engineered barriers for the TSPA-LA. Instead, the analysis provides simple statistics on aqueous corrosion rates of steels and alloys. These rates are limited by various aqueous parameters such as temperature (up to 100 C), water type (i.e., fresh versus saline), and pH. Corrosion data of materials at pH extremes (below 4 and above 9) are not included in this analysis, as materials commonly display different corrosion behaviors under these conditions. The exception is highly corrosion-resistant materials (Inconel Alloys) for which rate data from corrosion tests at a pH of approximately 3 were included. The waste package materials investigated are those from the long and short 5-DHLW waste packages, 2-MCO/2-DHLW waste package, and the 21-PWR commercial waste package. This analysis also contains rate data for some of the materials present inside the fuel canisters for the following fuel types: U-Mo (Fermi U-10%Mo), MOX (FFTF), Thorium Carbide and Th/U Carbide (Fort Saint Vrain [FSVR]), Th/U Oxide (Shippingport LWBR), U-metal (N Reactor), Intact U-Oxide (Shippingport PWR, Commercial), aluminum-based, and U-Zr-H (TRIGA). Analysis of corrosion rates for Alloy 22, spent nuclear fuel, defense high level waste (DHLW) glass, and Titanium Grade 7 can be found in other analysis or model reports.

  3. DOE - NNSA/NFO -- Rate our Site

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

    Rate our Site U.S. DOE/NNSA - Nevada Field Office Rate our website The Nevada Field Office is committed to providing high-quality products and services that meet your needs. Your participation in our customer satisfaction survey will help us achieve this goal. NFO would appreciate your taking the time to complete this survey. Responses are confidential. The survey should take approximately 15 minutes or 1 minute per question. You do not have to answers all the questions. How did you feel working

  4. Front-end utility rate updates | OpenEI Community

    Open Energy Info (EERE)

    Front-end utility rate updates Home > Groups > Utility Rate Rmckeel's picture Submitted by Rmckeel(297) Contributor 13 February, 2013 - 14:28 Utility Rates A few utility rate...

  5. Overview of Field Experience - Degradation Rates & Lifetimes

    SciTech Connect (OSTI)

    Jordan, Dirk; Kurtz, Sarah

    2015-09-14

    The way a PV module fails may depend not only on its design and the materials used in its construction, but also on the weather it experiences, the way it is mounted, and the quality control during its manufacture. This presentation gives an overview of Field Experience - what degradation rates and what lifetimes are being observed in various regions.

  6. The Distant Type Ia Supernova Rate

    DOE R&D Accomplishments [OSTI]

    Pain, R.; Fabbro, S.; Sullivan, M.; Ellis, R. S.; Aldering, G.; Astier, P.; Deustua, S. E.; Fruchter, A. S.; Goldhaber, G.; Goobar, A.; Groom, D. E.; Hardin, D.; Hook, I. M.; Howell, D. A.; Irwin, M. J.; Kim, A. G.; Kim, M. Y.; Knop, R. A.; Lee, J. C.; Perlmutter, S.; Ruiz-Lapuente, P.; Schahmaneche, K.; Schaefer, B.; Walton, N. A.

    2002-05-28

    We present a measurement of the rate of distant Type Ia supernovae derived using 4 large subsets of data from the Supernova Cosmology Project. Within this fiducial sample, which surveyed about 12 square degrees, thirty-eight supernovae were detected at redshifts 0.25--0.85. In a spatially flat cosmological model consistent with the results obtained by the Supernova Cosmology Project, we derive a rest-frame Type Ia supernova rate at a mean red shift z {approx_equal} 0.55 of 1.53 {sub -0.25}{sub -0.31}{sup 0.28}{sup 0.32} x 10{sup -4} h{sup 3} Mpc{sup -3} yr{sup -1} or 0.58{sub -0.09}{sub -0.09}{sup +0.10}{sup +0.10} h{sup 2} SNu(1 SNu = 1 supernova per century per 10{sup 10} L{sub B}sun), where the first uncertainty is statistical and the second includes systematic effects. The dependence of the rate on the assumed cosmological parameters is studied and the redshift dependence of the rate per unit comoving volume is contrasted with local estimates in the context of possible cosmic star formation histories and progenitor models.

  7. WP-96/TR-96 & TC-96 Power and Transmission Rate Case (rates/ratecases...

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

    Of Decision (WP-96 ROD) Final Studies And Documentation (WP-96-FS) Loads and Resources Revenue Requirement Segmentation Marginal Cost Analysis Wholesale Power Rate Development...

  8. U.S. Utility Rate Database - U.S. Utility Rate Database

    Open Energy Info (EERE)

    As Of Today ApprovedUnapproved All Approved Only Unapproved Only Order By Latest Update Utility Name Rate Name Sector Approval Staus Effective Date End Date Display Results...

  9. Microsoft Word - Mid South and Southeast Wind Power Purchase Agreements

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

    Mid-South and Southeast Wind Power Purchase Agreements Utility Purchaser Power (MW) Wind Project Name Location (State) TVA 300 Cayuga Ridge Iowa TVA 198 Pioneer Prairie Iowa TVA 101 Lost Lakes Iowa TVA 165 Cimmaron Kansas TVA 150 White Oak Illinois TVA 201 Caney River Illinois TVA 200 Bishop Hill Illinois TVA 200 California Ridge Oklahoma Subtotal 1515 Arkansas Electric Cooperative Corporation 150 Origin Wind Oklahoma Arkansas Electric Cooperative Corporation 51 Flat Ridge 2 Kansas Arkansas

  10. Energy Policy Act transportation rate study: Interim report on coal transportation

    SciTech Connect (OSTI)

    1995-10-01

    The primary purpose of this report is to examine changes in domestic coal distribution and railroad coal transportation rates since enactment of the Clean Air Act Amendments of 1990 (CAAA90). From 1988 through 1993, the demand for low-sulfur coal increased, as a the 1995 deadline for compliance with Phase 1 of CAAA90 approached. The shift toward low-sulfur coal came sooner than had been generally expected because many electric utilities switched early from high-sulfur coal to ``compliance`` (very low-sulfur) coal. They did so to accumulate emissions allowances that could be used to meet the stricter Phase 2 requirements. Thus, the demand for compliance coal increased the most. The report describes coal distribution and sulfur content, railroad coal transportation and transportation rates, and electric utility contract coal transportation trends from 1979 to 1993 including national trends, regional comparisons, distribution patterns and regional profiles. 14 figs., 76 tabs.

  11. EDC-37 Deflagration Rates at Elevated Pressures

    SciTech Connect (OSTI)

    Maienschein, J L; Koerner, J G

    2008-01-31

    We report deflagration rates on EDC-37 at high pressures. Experiments are conducted using the Lawrence Livermore National Laboratory High Pressure Strand Burner (HPSB) apparatus. The HPSB contains a deflagrating sample in a small volume, high pressure chamber. The sample consists of nine, 6.35 mm diameter, 6.35 mm length cylinders stacked on end, with burn wires placed between cylinders. Sample deflagration is limited to the cross-sectional surface of the cylinder by coating the cylindrical surface of the tower with Halthane 88-2 epoxy. Sample deflagration is initiated on one end of the tower by a B/KNO{sub 3} and HNS igniter train. Simultaneous temporal pressure history and burn front time of arrival measurements yield the laminar deflagration rate for a range of pressures and provide insight into deflagration uniformity. These measurements are one indicator of overall thermal explosion violence. Specific details of the experiment and the apparatus can be found in the literature.

  12. Feed rate measuring method and system

    DOE Patents [OSTI]

    Novak, James L. (Albuquerque, NM); Wiczer, James J. (Albuquerque, NM)

    1995-01-01

    A system and method are provided for establishing the feed rate of a workpiece along a feed path with respect to a machine device. First and second sensors each having first and second sensing electrodes which are electrically isolated from the workpiece are positioned above, and in proximity to the desired surfaces of the workpiece along a feed path. An electric field is developed between the first and second sensing electrodes of each sensor and capacitance signals are developed which are indicative of the contour of the workpiece. First and second image signals representative of the contour of the workpiece along the feed path are developed by an image processor. The time delay between corresponding portions of the first and second image signals are then used to determine the feed rate based upon the separation of the first and second sensors and the amount of time between corresponding portions of the first and second image signals.

  13. Predict carbonation rate on iron catalyst

    SciTech Connect (OSTI)

    Dry, M.E.

    1980-02-01

    On solely thermodynamic grounds, the main hydrocarbon product of the Fischer-Tropsch reaction should be methane; in practice, however, carbon is frequently produced as well and deposited on the iron catalyst, fouling the active surface sites. South African Coal, Oil and Gas Corp., Ltd.'s experiments with a fluidized Fischer-Tropsch catalyst bed demonstrate that the rate of carbon deposition is strongly dependent on the hydrogen partial pressure in the reactor, much less dependent on the CO pressure, and not affected at all by the pressure of CO/sub 2/. A suggested reaction scheme for the Fischer-Tropsch synthesis explains these observations and provides a basis for a correlation useful in predicting carbon-deposition rates.

  14. Consumers face $5. 9 million rate increase

    SciTech Connect (OSTI)

    Not Available

    1984-11-01

    Testimony at hearings before the Garrison Diversion Compromise Commission claimed that rural consumers in the Upper Midwest could face $5.9 million in electric rate increases if the commission deauthorizes the project and hydroelectric rates go up to pay the costs of the 1944 Pick-Sloan project originally assigned to irrigation. If there is no irrigation development, the revenue that irrigation must raise to repay the $67 million debt assigned to irrigation must be reassigned to hydroelectric power. The commission represents a compromise between supporters and opponents of the Garrison Diversion project. Spokesmen for regional utilities spoke in support of the project as an investment whose costs have escalated because of delays at the expense of economic development in North Dakota.

  15. Feed rate measuring method and system

    DOE Patents [OSTI]

    Novak, J.L.; Wiczer, J.J.

    1995-12-05

    A system and method are provided for establishing the feed rate of a workpiece along a feed path with respect to a machine device. First and second sensors each having first and second sensing electrodes which are electrically isolated from the workpiece are positioned above, and in proximity to the desired surfaces of the workpiece along a feed path. An electric field is developed between the first and second sensing electrodes of each sensor and capacitance signals are developed which are indicative of the contour of the workpiece. First and second image signals representative of the contour of the workpiece along the feed path are developed by an image processor. The time delay between corresponding portions of the first and second image signals are then used to determine the feed rate based upon the separation of the first and second sensors and the amount of time between corresponding portions of the first and second image signals. 18 figs.

  16. Subsurface heaters with low sulfidation rates

    DOE Patents [OSTI]

    John, Randy Carl; Vinegar, Harold J

    2013-12-10

    A system for heating a hydrocarbon containing formation includes a heater having an elongated ferromagnetic metal heater section. The heater is located in an opening in a formation. The heater section is configured to heat the hydrocarbon containing formation. The exposed ferromagnetic metal has a sulfidation rate that goes down with increasing temperature of the heater, when the heater is in a selected temperature range.

  17. Magnetic fields and galactic star formation rates

    SciTech Connect (OSTI)

    Loo, Sven Van; Tan, Jonathan C.; Falle, Sam A. E. G.

    2015-02-10

    The regulation of galactic-scale star formation rates (SFRs) is a basic problem for theories of galaxy formation and evolution: which processes are responsible for making observed star formation rates so inefficient compared to maximal rates of gas content divided by dynamical timescale? Here we study the effect of magnetic fields of different strengths on the evolution of giant molecular clouds (GMCs) within a kiloparsec patch of a disk galaxy and resolving scales down to ?0.5 pc. Including an empirically motivated prescription for star formation from dense gas (n{sub H}>10{sup 5} cm{sup ?3}) at an efficiency of 2% per local free-fall time, we derive the amount of suppression of star formation by magnetic fields compared to the nonmagnetized case. We find GMC fragmentation, dense clump formation, and SFR can be significantly affected by the inclusion of magnetic fields, especially in our strongest investigated B-field case of 80 ?G. However, our chosen kiloparsec-scale region, extracted from a global galaxy simulation, happens to contain a starbursting cloud complex that is only modestly affected by these magnetic fields and likely requires internal star formation feedback to regulate its SFR.

  18. Instrumented home energy rating and commissioning

    SciTech Connect (OSTI)

    Wray, Craig P.; Walker, Iain S.; Sherman, Max H.

    2003-05-01

    Currently, houses do not perform optimally or even as many codes and forecasts predict, largely because they are field assembled and there is no consistent process to identify deficiencies or to correct them. Solving this problem requires field performance evaluations using appropriate and agreed upon procedures in the form of a new process called residential commissioning. The purpose of this project is to develop and document these procedures and to demonstrate the value that applying them could provide in both new and existing California houses. This project has four specific objectives: to develop metrics and diagnostics for assessing house performance, to provide information on the potential benefits of commissioning using a whole-house approach, to develop programmatic guidelines for commissioning, and to conduct outreach efforts to transfer project results to industry stakeholders. The primary outcomes from this project are the development of residential commissioning guidelines and the analytical confirmation that there are significant potential benefits associated with commissioning California houses, particularly existing ones. In addition, we have made substantial advances in understanding the accuracy and usability of diagnostics for commissioning houses. In some cases, we have been able to work with equipment manufacturers to improve these aspects of their diagnostic tools. These outcomes provide a solid foundation on which to build a residential commissioning program in California. We expect that a concerted effort will be necessary to integrate such a program with existing building industry efforts and to demonstrate its use in the field.

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

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2007-11-01

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

  20. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next