National Library of Energy BETA

Sample records for rates tva expects

  1. CASL - CASL and TVA

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

    CASL and TVA The Tennessee Valley Authority (TVA) provides operational experience and validation information to CASL. Many of the CASL staff are highly skilled in their nuclear energy-relevant area of expertise, but not necessarily operational experience typified by the day-to-day issues encountered in commercial reactors. For example, the physical process of removing the fuel from the core, inspecting it, and then repacking it for the next cycle, which for TVA is planned for months in advance

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  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- 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...

  8. 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)...

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

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

    consumes all of the energy from these renewable energy projects. Biomass, Wind, or Photovoltaics can be interconnected through either TVA's transmission system or partners'...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

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

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

    Alabama 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...

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

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

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

  16. 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...

  17. 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,...

  18. 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...

  19. 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...

  20. Microsoft Word - TVA fact sheet Oct 17 2011

    National Nuclear Security Administration (NNSA)

    2 diesel-generator sites (9 units) 14 solar energy sites, 1 wind-energy site 1 ... and proposed changes to TVA facilities that may be used for future tritium production. ...

  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. 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...

  3. 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.

  4. 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...

  5. 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...

  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. 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.

  8. 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.

  9. 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.

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

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

    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

  11. 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.

  12. Performance expectation plan

    SciTech Connect (OSTI)

    Ray, P.E.

    1998-09-04

    This document outlines the significant accomplishments of fiscal year 1998 for the Tank Waste Remediation System (TWRS) Project Hanford Management Contract (PHMC) team. Opportunities for improvement to better meet some performance expectations have been identified. The PHMC has performed at an excellent level in administration of leadership, planning, and technical direction. The contractor has met and made notable improvement of attaining customer satisfaction in mission execution. This document includes the team`s recommendation that the PHMC TWRS Performance Expectation Plan evaluation rating for fiscal year 1998 be an Excellent.

  13. 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.

  14. 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.

  15. 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.

  16. Metal wastage analysis of carbon steel tubes from TVA 20 MW AFBC (atmospheric fluidized-bed combustion)

    SciTech Connect (OSTI)

    Natesan, K.

    1987-11-01

    Evaporator tubes of carbon steel material, obtained from the TVA 20 MW AFBC test facility, were examined for deposit formation and metal wastage. Three different regions of the tube sections were analyzed using electron diffraction and several electron-optical techniques. The results showed that excessive metal wastage in one of the locations can be attributed to erosive wear of chlorine impregnated iron oxide scales. The results also showed that corrosion accelerating elements such as Cl, S, and K act independent of each other on the carbon steel evaporator tubes and it is imperative to characterize the local environment in the vicinity of the tube banks for understanding the complex deposition/corrosion phenomena that occur in FBC systems. 2 refs., 11 figs., 1 tab.

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

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

    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

  18. TVA application of integrated onfarm fuel alcohol production system. Annual report

    SciTech Connect (OSTI)

    Badger, P C; Pile, R S

    1980-01-01

    This contract has provided for the documentation of the feasibility of fuel alcohol production with small onfarm facilities, and for the design and construction of an efficient and easily constructed production facility. A feasibility study and a preliminary design report have been prepared. A prototype facility has been designed and constructed with a design production rate of 10 gallons per hour of 190-proof ethanol. The components of the facility are readily available through normal equipment supply channels or can be primarily owner-constructed. Energy efficiency was also of prime consideration in the design, and heat recovery equipment is included where practical. A renewable fuel boiler is used for process heat. Applicable safety standards and environmental requirements were also incorporated into the design. Other project activities included modification of a pickup truck to use the hydrous alcohol produced, evaluation of vacuum distillation for onfarm units, and development of a computer program to allow detailed economic analyses of fuel alcohol production. Efforts were also initiated to evaluate nongrain feedstocks, develop a preliminary design for a low-cost wood-fired boiler, and evaluate packed distillation columns constructed of plastic pipe.

  19. 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...

  20. 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...

  1. 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.

  2. 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...

  3. Structural Genomics: Expectations and Reality

    Office of Scientific and Technical Information (OSTI)

    Impact of Structural Genomics: Expectations and Outcomes Running head: Same Authors: John-Marc Chandonia 1 and Steven E. Brenner 1,2 Address for correspondence: Steven E. Brenner Department of Plant and Microbial Biology 461A Koshland Hall University of California Berkeley, CA 94720-3102 email: brenner@compbio.berkeley.edu fax: (413) 280-7813 Affiliations: 1 - Berkeley Structural Genomics Center, Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA 2 -

  4. North Dome decision expected soon

    SciTech Connect (OSTI)

    Not Available

    1981-08-01

    Decisions soon will be made which will set in motion the development of Qatar's huge North Dome gas field. The government and state company, Qatar General Petroleum Corp. (QGPC) is studying the results of 2 feasibility studies on the economics of LNG export, although initially North Dome exploitation will be aimed at the domestic market. Decisions on the nature and timing of the North Dome development are the most important that have had to be faced in the short 10-yr history of the small Gulf state. The country's oil production is currently running at approximately 500,000 bpd, with 270,000 bpd originating from 3 offshore fields. Output is expected to decline through 1990, and it generally is accepted that there is little likelihood of further major crude discoveries. Therefore, Qatar has to begin an adjustment from an economy based on oil to one based on gas, while adhering to the underlying tenets of long-term conservation and industrial diversification.

  5. 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

  6. 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.

  7. 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...

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

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

    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

  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. 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).

  11. 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...

  12. 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...

  13. 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.

  14. Sequoia Messaging Rate Benchmark

    Energy Science and Technology Software Center (OSTI)

    2008-01-22

    The purpose of this benchmark is to measure the maximal message rate of a single compute node. The first num_cores ranks are expected to reside on the 'core' compute node for which message rate is being tested. After that, the next num_nbors ranks are neighbors for the first core rank, the next set of num_nbors ranks are neighbors for the second core rank, and so on. For example, testing an 8-core node (num_cores = 8)more » with 4 neighbors (num_nbors = 4) requires 8 + 8 * 4 - 40 ranks. The first 8 of those 40 ranks are expected to be on the 'core' node being benchmarked, while the rest of the ranks are on separate nodes.« less

  15. ,"Virginia Dry Natural Gas Expected Future Production (Billion...

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

    Data for" ,"Data 1","Virginia Dry Natural Gas Expected Future ... 12:18:23 PM" "Back to Contents","Data 1: Virginia Dry Natural Gas Expected Future ...

  16. ,"West Virginia Dry Natural Gas Expected Future Production (Billion...

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

    Data for" ,"Data 1","West Virginia Dry Natural Gas Expected Future ... PM" "Back to Contents","Data 1: West Virginia Dry Natural Gas Expected Future ...

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

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

    Data for" ,"Data 1","West Virginia Natural Gas Plant Liquids, Expected ... PM" "Back to Contents","Data 1: West Virginia Natural Gas Plant Liquids, Expected ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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...

  19. Louisiana--State Offshore Natural Gas Plant Liquids, Expected...

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

    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...

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

    Gasoline and Diesel Fuel Update (EIA)

    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...

  1. Miscellaneous States Natural Gas Plant Liquids, Expected Future...

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

    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...

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

    Gasoline and Diesel Fuel Update (EIA)

    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...

  3. Michigan Natural Gas Plant Liquids, Expected Future Production...

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

    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...

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

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

    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...

  5. Louisiana--South Onshore Natural Gas Plant Liquids, Expected...

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

    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...

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

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

    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...

  7. Louisiana State Offshore Dry Natural Gas Expected Future Production...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  8. Miscellaneous States Dry Natural Gas Expected Future Production...

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

    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...

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

    Gasoline and Diesel Fuel Update (EIA)

    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...

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

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

    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 ...

  11. Texas Dry Natural Gas Expected Future Production (Billion Cubic...

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

    Expected Future Production (Billion Cubic Feet) Texas Dry Natural Gas Expected Future ... Dry Natural Gas Proved Reserves as of Dec. 31 Texas Dry Natural Gas Proved Reserves Dry ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

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

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

    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 ...

  15. 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...

  16. NRC Leadership Expectations and Practices for Sustaining a High...

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

    NRC Leadership Expectations and Practices for Sustaining a High Performing Organization NRC Leadership Expectations and Practices for Sustaining a High Performing Organization May ...

  17. 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...

  18. 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.

  19. 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...

  20. TVA - Solar Solutions Initiative | Department of Energy

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

    < Back Eligibility Commercial Industrial Local Government Nonprofit Schools Retail Supplier Agricultural Savings Category Solar Photovoltaics Program Info Sector Name Utility...

  1. 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....

  2. 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...

  3. TVA_Poster_11-G00424.pdf

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

  4. Gulf of Mexico Federal Offshore Dry Natural Gas Expected Future...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  5. Michigan Dry Natural Gas Expected Future Production (Billion...

    Annual Energy Outlook [U.S. Energy Information Administration (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...

  6. Louisiana Dry Natural Gas Expected Future Production (Billion...

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

    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...

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

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

    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...

  8. Texas - RRC District 9 Dry Natural Gas Expected Future Production...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  9. Mississippi Dry Natural Gas Expected Future Production (Billion...

    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...

  10. Montana Natural Gas Plant Liquids, Expected Future Production...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  11. Utah Dry Natural Gas Expected Future Production (Billion Cubic...

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

    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...

  12. Texas - RRC District 10 Dry Natural Gas Expected Future Production...

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

    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...

  13. Montana Dry Natural Gas Expected Future Production (Billion Cubic...

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

    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...

  14. Texas - RRC District 8 Dry Natural Gas Expected Future Production...

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

    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...

  15. Louisiana - North Dry Natural Gas Expected Future Production...

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

    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...

  16. New York Dry Natural Gas Expected Future Production (Billion...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  17. Texas - RRC District 5 Dry Natural Gas Expected Future Production...

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

  18. Texas - RRC District 6 Dry Natural Gas Expected Future Production...

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

  1. Quality Control, Standardization of Upgrades, and Workforce Expectations |

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

    Department of Energy Quality Control, Standardization of Upgrades, and Workforce Expectations Quality Control, Standardization of Upgrades, and Workforce Expectations Better Buildings Residential Network Workforce Peer Exchange Call Series: Quality Control, Standardization of Upgrades, and Workforce Expectations, March 27, 2014. PDF icon Call Slides and Discussion Summary More Documents & Publications Home Performance with ENERGY STAR -- 10 Years of Continued Growth! Commerce RISE

  2. 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...

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

    Energy Savers [EERE]

    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. ,"Lower 48 States Natural Gas Plant Liquids, Expected Future...

    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...

  5. ,"Utah and Wyoming Natural Gas Plant Liquids, Expected Future...

    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...

  6. ,"Montana Dry Natural Gas Expected Future Production (Billion...

    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...

  7. ,"Montana Natural Gas Plant Liquids, Expected Future Production...

    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...

  8. ,"Miscellaneous States Dry Natural Gas Expected Future Production...

    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...

  9. ,"U.S. Natural Gas Plant Liquids, Expected Future Production...

    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"...

  10. ,"Utah Dry Natural Gas Expected Future Production (Billion Cubic...

    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...

  11. ,"Michigan Natural Gas Plant Liquids, Expected Future Production...

    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...

  12. ,"Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected...

    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...

  13. ,"Pennsylvania Dry Natural Gas Expected Future Production (Billion...

    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...

  14. ,"Michigan Dry Natural Gas Expected Future Production (Billion...

    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...

  15. ,"Ohio Dry Natural Gas Expected Future Production (Billion Cubic...

    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...

  16. ,"Wyoming Natural Gas Plant Liquids, Expected Future Production...

    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...

  17. ,"New York Dry Natural Gas Expected Future Production (Billion...

    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...

  18. ,"North Dakota Natural Gas Plant Liquids, Expected Future Production...

    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...

  19. ,"Lower 48 States Dry Natural Gas Expected Future Production...

    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...

  20. ,"Wyoming Dry Natural Gas Expected Future Production (Billion...

    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...

  1. ,"North Dakota Dry Natural Gas Expected Future Production (Billion...

    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...

  2. ,"Utah Natural Gas Plant Liquids, Expected Future Production...

    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...

  3. ,"Miscellaneous States Natural Gas Plant Liquids, Expected Future...

    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...

  4. ,"Mississippi Dry Natural Gas Expected Future Production (Billion...

    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...

  5. 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...

  6. 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...

  7. 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...

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

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

    years The average U.S. household is expected to pay 395 for electricity this summer. That's down 2.5% from last year and the lowest residential summer power bill in four years, ...

  9. 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...

  10. Liners and Covers: Field Performance & Life Expectancy | Department of

    Office of Environmental Management (EM)

    Energy Liners and Covers: Field Performance & Life Expectancy Liners and Covers: Field Performance & Life Expectancy Craig H. Benson, PhD, PE, NAE Wisconsin Distinguished Professor University of Wisconsin-Madison Interagency Steering Committee on Performance and Risk Assessment Community of Practice Annual Technical Exchange Meeting 11-12 December 2014 Las Vegas, Nevada, USA To view all the P&RA CoP 2014 Technical Exchange Meeting videos click here. Video Presentation PDF icon

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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.

  16. 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

  17. 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

  18. 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

  19. 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

  20. Alabama (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) 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

  1. Alaska (with Total 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) 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

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

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

    Barrels) Liquids, 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

  3. California (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) 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 =

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

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

    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

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

    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

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

    (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

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

    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

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

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

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

    Barrels) Liquids, 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

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

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

    Production (Million Barrels) Plant Liquids, 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

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

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

    Production (Million Barrels) Plant Liquids, 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

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

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

    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

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

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

    Barrels) Liquids, 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

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

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

    Barrels) Liquids, 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

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

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

    Barrels) Liquids, 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.

  16. Wind farm generating more renewable energy than expected for Pantex |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration Home / Blog Wind farm generating more renewable energy than expected for Pantex Friday, April 22, 2016 - 10:30am Each of the five wind turbines at the Pantex Plant is 400 feet tall. They have generated 3 percent more electricity than was expected. The Texas Panhandle has some of the world's best winds for creating renewable energy, and the Wind Farm at the Pantex Plant is taking advantage of those winds, generating up to 60% of the energy needs of the

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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...

  2. Expectations models of electric utilities' forecasts: a case study of econometric estimation with influential data points

    SciTech Connect (OSTI)

    Vellutini, R. de A.S.; Mount, T.D.

    1983-01-01

    This study develops an econometric model for explaining how electric utilities revise their forecasts of future electricity demand each year. The model specification is developed from the adaptive expectations hypothesis and it relates forecasted growth rates to actual lagged growth rates of electricity demand. Unlike other studies of the expectation phenomenon, expectations of future demand levels constitute an observable variable and thus can be incorporated explicitly into the model. The data used for the analysis were derived from the published forecasts of the nine National Electric Reliability Councils in the US for the years 1974 to 1980. Three alternative statistical methods are used for estimation purposes: ordinary least-squares, robust regression and a diagnostic analysis to identify influential observations. The results obtained with the first two methods are very similar, but are both inconsistent with the underlying economic logic of the model. The estimated model obtained from the diagnostics approach after deleting two aberrant observations is consistent with economic logic, and supports the hypothesis that the low growth demand experienced immediately following the oil embargo in 1973 were disregarded by the industry for forecasting purposes. The model includes transitory effects associated with the oil embargo that gradually disappear over time, the estimated coefficients for the lagged values of actual growth approach a structure with declining positive weights. The general shape of this asymptotic structure is similar to the findings in many economic applications using distributed lag models.

  3. 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 =

  4. 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 -

  5. 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; -- =

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

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

    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

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

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

    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

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

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

    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 =

  9. California Federal Offshore 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) 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

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

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

    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 =

  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) 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

  12. 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

  13. 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...

  14. 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...

  15. 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.

  16. 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.

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

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

    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; -- =

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

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

    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

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

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

    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; --

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

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

    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

  1. 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

  2. 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...

  3. 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.

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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 Alabama Program Type Rebate Program Rebate Amount Attic Insulation - 250Home (One...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. Historical river flow rates for dose calculations

    SciTech Connect (OSTI)

    Carlton, W.H.

    1991-06-10

    Annual average river flow rates are required input to the LADTAP Computer Code for calculating offsite doses from liquid releases of radioactive materials to the Savannah River. The source of information on annual river flow rates used in dose calculations varies, depending on whether calculations are for retrospective releases or prospective releases. Examples of these types of releases are: Retrospective - releases from routine operations (annual environmental reports) and short term release incidents that have occurred. Prospective - releases that might be expected in the future from routine or abnormal operation of existing or new facilities (EIS`s, EID`S, SAR`S, etc.). This memorandum provides historical flow rates at the downstream gauging station at Highway 301 for use in retrospective dose calculations and derives flow rate data for the Beaufort-Jasper and Port Wentworth water treatment plants.

  7. 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.

  8. Rail Coal Transportation Rates

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

    Previous Data Years Year: 2013 2011 2010 2008 2002 Go Background and Methodology The data ... The initial report on coal transportation rates covered the years 2001 through 2008, ...

  9. 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,...

  10. 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.

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

    Energy Savers [EERE]

    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. U.S. crude oil production expected to exceed oil imports later...

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

    crude oil production expected to exceed oil imports later this year U.S. crude oil production is expected to surpass U.S. crude oil imports by the fourth quarter of this year. That ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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...

  14. U.S. Dry Natural Gas Expected Future Production (Billion Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  15. U.S. Federal Offshore Dry Natural Gas Expected Future Production...

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

    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...

  16. Texas - RRC District 8A Dry Natural Gas Expected Future Production...

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

    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...

  17. U.S. crude oil production expected to top 8 million barrels per...

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

    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 ...

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

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

    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 ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

  8. Residential Solar Valuation Rates

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

    Solar Valuation Rates Karl R. Rbago Rbago Energy LLC 1 The Ideal Residential Solar Tariff Fair to the utility and non-solar customers Fair compensation to the solar ...

  9. Best Practices: Escalation Rates

    Office of Environmental Management (EM)

    Best Practices Escalation Rates Hosted by: FEDERAL UTILITY PARTNERSHIP WORKING GROUP SEMINAR November 3-4, 2015 Houston, TX Federal Utility Partnership Working Group November 3-4, 2015 Houston, TX Federal Utility Partnership Working Group November 3-4, 2015 Houston, TX Best Practices: Escalation Rate Value of future energy savings * Provides purchasing power for implementing a robust, comprehensive and customized ECM set * Provides an option for paying back financing in the shortest possible

  10. 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...

  11. 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...

  12. 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.

  13. ,"U.S. Dry Natural Gas Expected Future Production (Billion Cubic...

    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"...

  14. ,"U.S. Federal Offshore Dry Natural Gas Expected Future Production...

    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...

  15. 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.

  16. 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.

  17. 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.

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

    Energy Savers [EERE]

    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.

  19. 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...

  20. PULSE RATE DIVIDER

    DOE Patents [OSTI]

    McDonald, H.C. Jr.

    1962-12-18

    A compact pulse-rate divider circuit affording low impedance output and high input pulse repetition rates is described. The circuit features a single secondary emission tube having a capacitor interposed between its dynode and its control grid. An output pulse is produced at the anode of the tube each time an incoming pulse at the control grid drives the tube above cutoff and the duration of each output pulse corresponds to the charging time of the capacitor. Pulses incoming during the time the grid bias established by the discharging capacitor is sufficiently negative that the pulses are unable to drive the tube above cutoff do not produce output pulses at the anode; these pulses are lost and a dividing action is thus produced by the circuit. The time constant of the discharge path may be vanied to vary in turn the division ratio of the circuit; the time constant of the charging circuit may be varied to vary the width of the output pulses. (AEC)

  1. Energy Escalation Rate Calculator Download

    Broader source: Energy.gov [DOE]

    Energy Escalation Rate Calculator (EERC) computes an average annual escalation rate for a specified time period, which can be used as an escalation rate for contract payments in energy savings performance contracts and utility energy services contracts.

  2. U.S. net oil and petroleum product imports expected to fall to...

    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 ...

  3. U.S. gasoline prices expected to be cheaper in the second half...

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

    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 ...

  4. U.S. average gasoline and diesel fuel prices expected to be slightly...

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

    average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012 ... Diesel fuel will continue to cost more than gasoline because of strong global demand for ...

  5. 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...

  6. EVMS Training Snippet: 4.9 High-level EVM Expectations

    Broader source: Energy.gov [DOE]

    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...

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

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

    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 ...

  8. 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

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. IceCube expectations for two high-energy neutrino production models at active galactic nuclei

    SciTech Connect (OSTI)

    Argüelles, C.A.; Bustamante, M.; Gago, A.M. E-mail: mbustamante@pucp.edu.pe

    2010-12-01

    We have determined the currently allowed regions of the parameter spaces of two representative models of diffuse neutrino flux from active galactic nuclei (AGN): one by Koers and Tinyakov (KT) and another by Becker and Biermann (BB). Our observable has been the number of upgoing muon-neutrinos expected in the 86-string IceCube detector, after 5 years of exposure, in the range 10{sup 5} ≤ E{sub ν}/GeV ≤ 10{sup 8}. We have used the latest estimated discovery potential of the IceCube-86 array at the 5σ level to determine the lower boundary of the regions, while for the upper boundary we have used either the AMANDA upper bound on the neutrino flux or the more recent preliminary upper bound given by the half-completed IceCube-40 array (IC40). We have varied the spectral index of the proposed power-law fluxes, α, and two parameters of the BB model: the ratio between the boost factors of neutrinos and cosmic rays, Γ{sub ν}/Γ{sub CR}, and the maximum redshift of the sources that contribute to the cosmic-ray flux, z{sub CR}{sup max}. For the KT model, we have considered two scenarios: one in which the number density of AGN does not evolve with redshift and another in which it evolves strongly, following the star formation rate. Using the IC40 upper bound, we have found that the models are visible in IceCube-86 only inside very thin strips of parameter space and that both of them are discarded at the preferred value of α = 2.7 obtained from fits to cosmic-ray data. Lower values of α, notably the values 2.0 and 2.3 proposed in the literature, fare better. In addition, we have analysed the capacity of IceCube-86 to discriminate between the models within the small regions of parameter space where both of them give testable predictions. Within these regions, discrimination at the 5σ level or more is guaranteed.

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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.

  8. 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.

  9. 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.

  10. 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

  11. 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 =

  12. 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 =

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

    Energy Savers [EERE]

    it means to you What it means to you A fact sheet detailling what Congress's first comprehensive energy legislation means to the people. PDF icon What it means to you More Documents & Publications What It Means to You What it means to you P Nuclear Power Plants | Department of Energy

    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 Plants PDF icon What to

  14. Active hurricane season expected to shut-in higher amount of oil and natural gas production

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

    Active hurricane season expected to shut-in higher amount of oil and natural gas production An above-normal 2013 hurricane season is expected to cause a median production loss of about 19 million barrels of U.S. crude oil and 46 billion cubic feet of natural gas production in the Gulf of Mexico, according to the new forecast from the U.S. Energy Information Administration. That's about one-third more than the amount of oil and gas production knocked offline during last year's hurricane season.

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

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

    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

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

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

    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

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

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

    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

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

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

    Future Production (Million Barrels) Plant Liquids, 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;

  19. ,"Louisiana--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--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  20. ,"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"

  1. ,"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"

  2. ,"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

  3. ,"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"

  4. ,"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

  5. ,"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"

  6. ,"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

  7. ,"Texas State 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","Texas State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. ,"Texas--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--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  9. ,"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

  10. ,"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

  11. ,"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

  12. ,"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"

  13. ,"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

  14. ,"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

  15. ,"California State 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 State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"California--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--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. ,"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

  18. ,"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"

  19. ,"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

  20. ,"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"

  1. ,"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

  2. ,"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"

  3. ,"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

  4. ,"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"

  5. ,"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"

  6. ,"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

  7. ,"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

  8. ,"Louisiana State 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","Louisiana State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  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. Project Definition Rating Index Workbook

    Broader source: Energy.gov [DOE]

    The Project Definition Rating Index (PDRI) Workbook is a tool that was developed to support DOE G-413.3-12A, U. S. Department of Energy Project Definition Rating Index Guide for Traditional Nuclear...

  12. Commercial Building Asset Rating Program

    Broader source: Energy.gov [DOE]

    Slides from a Commercial Building Initiative webinar outlining the Commercial Building Asset Rating Program on August 23, 2011.

  13. 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.

  14. 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 ...

  15. 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...

  16. 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:...

  17. 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

  18. Trends in Contractor Conversion Rates

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Workforce / Business Partners Peer Exchange Call Series: Trends in Contractor Conversion Rates, Call Slides and Discussion Summary, December 5, 2013.

  19. Rate Schedules | Department of Energy

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

    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 ...

  20. DOE Guidance-Category Rating

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

    ... For most jobs and grade levels under category rating, the certificates of eligibles should be issued in the following order: (1) Career Transition Assistance Program (CTAP) and ...

  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. 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

  3. 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

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

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

    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 - =

  5. 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)

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

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

    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/

  7. Poster — Thur Eve — 54: Radiotherapy and Non-Radiotherapy Safety Practices Beyond Licensing Expectations

    SciTech Connect (OSTI)

    Kosierb, Rick

    2014-08-15

    The Canadian Nuclear Safety Commission (CNSC) regulates the use of nuclear energy and materials to protect the health, safety and security of Canadians and the environment, and to implement Canada's international obligations on the peaceful use of nuclear energy. In order to perform this regulatory activity, the CNSC issue licences and has its staff perform inspections to verify conformity to the aspects of those licences. Within the CNSC, the Accelerators and Class II Facilities Division (ACFD) is responsible for the regulatory oversight of Class II Prescribed Equipment used in medical, academic, and industrial sectors in Canada. In performing inspections, ACFD has encountered licensees with practices that are either below, meet or exceed regulatory expectations in specific areas. Unfortunately, none of these practices are ever communicated to the broader Class II community to help other licensees avoid the same problem or achieve high standards. In this poster, ACFD will highlight safety practices that go beyond expectations. These practices are taken from observations during site inspections between 2007 and 2013 and will be presented in six areas: Procedures, Participation, Awareness, Equipment, Servicing and Software. Each area briefly discusses a number of practices that the CNSC feels went beyond the expectations dictated by the licence. Where possible, names are added of the contact people at the centres who can be reached for full details of their implementations. It is hoped that this communication will assist other licensees to achieve these same high levels of compliance and possibly go beyond.

  8. 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.

  9. 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.

  10. Project Definition Rating Index (PDRI)

    Broader source: Energy.gov [DOE]

    The Office of Environmental Management (EM) Project Definition Rating Index (EM-PDRI) is a modification of a commercially developed planning tool that has been tested by an EM team specifically for...

  11. 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...

  12. 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 - =

  13. 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...

  14. Final Report- National Database of Utility Rates and Rate Structure

    Broader source: Energy.gov [DOE]

    One of the key informational barriers for consumers, installers, regulators and policymakers, is the proper comparison cost of utility-supplied electricity that will be replaced with a Photovoltaic (PV) system. Oftentimes, these comparisons are made with national or statewide averages which results in inaccurate comparisons and conclusions. Illinois State University seeks to meet the need for accurate information about electricity costs and rate structure by building a national database of utility rates and rate structures. The database will build upon the excellent framework that was developed by the OpenEI.org initiative and extend it in several important ways. First, the data will be populated and monitored by a team of trained regulatory economists. Second, the database will be more comprehensive because it will be populated with data from newer competitive retail suppliers for states that have restructured their electricity markets to allow such suppliers. Third, the University and its Institute for Regulatory Policy Studies will maintain the database and ensure that it contains the most recent rate information.

  15. 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.

  16. LINEAR COUNT-RATE METER

    DOE Patents [OSTI]

    Henry, J.J.

    1961-09-01

    A linear count-rate meter is designed to provide a highly linear output while receiving counting rates from one cycle per second to 100,000 cycles per second. Input pulses enter a linear discriminator and then are fed to a trigger circuit which produces positive pulses of uniform width and amplitude. The trigger circuit is connected to a one-shot multivibrator. The multivibrator output pulses have a selected width. Feedback means are provided for preventing transistor saturation in the multivibrator which improves the rise and decay times of the output pulses. The multivibrator is connected to a diode-switched, constant current metering circuit. A selected constant current is switched to an averaging circuit for each pulse received, and for a time determined by the received pulse width. The average output meter current is proportional to the product of the counting rate, the constant current, and the multivibrator output pulse width.

  17. 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).

  18. 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.

  19. Floating Rate Agreement | Department of Energy

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

    Floating Rate Agreement Floating Rate Agreement PDF icon Floating Rate Agreement More Documents & Publications Fixed Rate Agreement Energy Efficiency Loan Program Agreement Template Energy Efficiency Loan Program Agreement-Template

  20. 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.

  1. 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.

  2. Fast repetition rate (FRR) flasher

    DOE Patents [OSTI]

    Kolber, Zbigniew; Falkowski, Paul

    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.

  3. 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 ...

  4. 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.

  5. 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.

  6. 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.

  7. Damage rates for FFTF structural components and surveillance assemblies

    SciTech Connect (OSTI)

    Simons, R.L.

    1993-08-01

    The Fast Flux Test Facility (FFTF) surveillance program provides coupon surveillance materials that are irradiated to the expected lifetime damage dose that the represented component will experience. This methodology requires a knowledge of the damage dose rates to the surveillance assemblies and to the critical locations of the structural components. This analysis updates the predicted exposures from a total fluence to a displacement per atom (dpa) basis using Monte Carlo (computer code for) neutron photon (transport) code (MCNP). The MCNP calculation improves the relative consistency and lowers the predicted damage rates uncertainty in a number of out-of-core locations. The results were used an part of the evaluation to extend the lifetime of the invessel components to 30 years in support of multiple missions for FFTF.

  8. 1993 Wholesale Power and Transmission Rate Schedules.

    SciTech Connect (OSTI)

    US Bonneville Power Administration

    1993-10-01

    Bonneville Power Administration 1993 Wholesale Power Rate Schedules and General Rate Schedule Provisions and 1993 Transmission Rate Schedules and General Transmission Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1993. These rate schedules and provisions were approved by the Federal Energy Commission, United States Department of Energy, in September, 1993. These rate schedules and provisions supersede the Administration`s Wholesale Power Rate Schedules and General Rate Schedule Provisions and Transmission Rate Schedules and General Transmission Rate Schedule Provisions effective October 1, 1991.

  9. 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.

  10. 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.

  11. What Is the Right Rate? Loan Rates and Demand | Department of...

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

    Is the Right Rate? Loan Rates and Demand What Is the Right Rate? Loan Rates and Demand Better Buildings Neighborhood Program Financing Peer Exchange Call: "What is the Right Rate?" ...

  12. DOE-STD-3009-2014 Training Modules (Changes to DOE-STD-3009 and Expectations for Effective Implementation)

    Broader source: Energy.gov [DOE]

    These modules are training for DOE-STD-3009-2014, Preparation of Nonreactor Nuclear Facility Documented Safety Analysis. It focuses on Changes to DOE-STD-3009 and Expectations for Effective Implementation.

  13. ,"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

  14. ,"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

  15. ,"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

  16. 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.

  17. 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.

  18. Rating fenestration for energy efficiency

    SciTech Connect (OSTI)

    Markway, R.

    1993-09-01

    The grading of windows and doors by the National Fenestration Rating Council (NFRC) opens a new era regarding the energy efficiency of fenestration products. For the first time, architects, designers, and other specifiers will find themselves on a level playing field when it comes to comparing the thermal performance of fenestration products. Although only one state, California, now requires the use of fenestration products that have gone through the NFRC's simulation and testing procedures, five other states will soon be doing so, including Washington, Alaska, Oregon, Idaho, and Wisconsin. Others will follow suit; Florida, Arizona, Texas, Louisiana, New York, Massachusetts, and Colorado have shown interest. Exactly what does this mean to architects The NFRC, which was established last year, has developed a procedure to determine accurately the U-value of fenestration products. Under the NFRC program a number of independent simulation and testing laboratories have been approved. These laboratories are charged with the responsibility of determining whether products conform to the U-values represented by the manufacturers. The rating procedure and benefits from it are described.

  19. 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...

  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: electric load data Type Term Title Author Replies Last Post sort icon...

  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: DOE Type Term Title Author Replies Last Post sort icon Blog entry DOE...

  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: API Type Term Title Author Replies Last Post sort icon Blog entry API...

  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: EZFeed Type Term Title Author Replies Last Post sort icon Blog entry...

  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: Database Type Term Title Author Replies Last Post sort icon Blog entry...

  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: bug Type Term Title Author Replies Last Post sort icon Discussion bug...

  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 efficiency 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: clean energy Type Term Title Author Replies Last Post sort icon Blog...

  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: datasets Type Term Title Author Replies Last Post sort icon Blog entry...

  9. 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...

  10. 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...

  11. 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...

  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: building 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: dataset Type Term Title Author Replies Last Post sort icon Blog entry...

  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: Energy Visions Prize Type Term Title Author Replies Last Post sort icon...

  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: funding 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: EIA Type Term Title Author Replies Last Post sort icon Blog entry EIA...

  17. Plutonium Hexafluoride Thermal Decomposition Rates (Journal Article...

    Office of Scientific and Technical Information (OSTI)

    Plutonium Hexafluoride Thermal Decomposition Rates Citation Details In-Document Search Title: Plutonium Hexafluoride Thermal Decomposition Rates Uranium and plutonium may be ...

  18. 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...

  19. 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...

  20. Comparison of the sputter rates of oxide films relative to the sputter rate of SiO{sub 2}

    SciTech Connect (OSTI)

    Baer, D. R.; Engelhard, M. H.; Lea, A. S.; Nachimuthu, P.; Droubay, T. C.; Kim, J.; Lee, B.; Mathews, C.; Opila, R. L.; Saraf, L. V.; Stickle, W. F.; Wallace, R. M.; Wright, B. S.

    2010-09-15

    There is a growing interest in knowing the sputter rates for a wide variety of oxides because of their increasing technological importance in many different applications. To support the needs of users of the Environmental Molecular Sciences Laboratory, a national scientific user facility, as well as our research programs, the authors made a series of measurements of the sputter rates from oxide films that have been grown by oxygen plasma-assisted molecular beam epitaxy, pulsed laser deposition, atomic layer deposition, electrochemical oxidation, or sputter deposition. The sputter rates for these oxide films were determined in comparison with those from thermally grown SiO{sub 2}, a common reference material for sputter rate determination. The film thicknesses and densities for most of these oxide films were measured using x-ray reflectivity. These oxide films were mounted in an x-ray photoelectron or Auger electron spectrometer for sputter rate measurements using argon ion sputtering. Although the primary objective of this work was to determine relative sputter rates at a fixed angle, the measurements also examined (i) the angle dependence of the relative sputter rates, (ii) the energy dependence of the relative sputter rates, and (iii) the extent of ion beam induced reduction for some oxides. Oxide films examined include SiO{sub 2}, Al{sub 2}O{sub 3}, CeO{sub 2}, Cr{sub 2}O{sub 3}, Fe{sub 2}O{sub 3}, HfO{sub 2}, In-Sn oxide, Ta{sub 2}O{sub 5}, TiO{sub 2} (anatase, rutile, and amorphous), and ZnO. The authors found that the sputter rates for the oxides can vary up to a factor of 2 (usually lower) from that observed for SiO{sub 2}. The ratios of sputter rates relative to those of SiO{sub 2} appear to be relatively independent of ion beam energy in the range of 1-4 kV and for incident angles <50 deg. As expected, the extent of ion beam induced reduction of the oxides varies with the sputter angle.

  1. Fixed Rate Agreement | Department of Energy

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

    Fixed Rate Agreement Fixed Rate Agreement PDF icon Fixed Rate Agreement More Documents & Publications Floating Rate Agreement Notice of Proposed Rulemaking (August 6, 2009) Federal Loan Guarantees for Projects that Manufacture Commercial Technology Renewable Energy Systems and Components: August 10, 2010

  2. 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.

  3. 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.

  4. 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, 2015 KP-AP-1-C Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott October 1, 2015 KP-AP-2-C Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott October 1, 2015 KP-AP-3-C Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott October 1, 2015 CU-CC-1-J Wholesale Power Rate Schedule Area: Duke Energy Progress, Western

  5. ,"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

  6. ,"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

  7. ,"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

  8. ,"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

  9. ,"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

  10. ,"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

  11. ,"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

  12. ,"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

  13. ,"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

  14. ,"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

  15. ,"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

  16. ,"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

  17. ,"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

  18. ,"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

  19. ,"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

  20. ,"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

  1. ,"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

  2. ,"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

  3. ,"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

  4. ,"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

  5. ,"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

  6. ,"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

  7. ,"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

  8. ,"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

  9. ,"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

  10. ,"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

  11. ,"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

  12. ,"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

  13. ,"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

  14. ,"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

  15. ,"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

  16. ,"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

  17. ,"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

  18. ,"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

  19. ,"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

  20. ,"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

  1. ,"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

  2. ,"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

  3. Attachments Energy Ratings Council | Department of Energy

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

    Attachments Energy Ratings Council Attachments Energy Ratings Council Attachments Energy Ratings Council Lead Performer: Window Covering Manufacturing Association - New York, NY DOE Funding: $1,600,000 Project Term: October 1, 2014 - September 30, 2018 Funding Opportunity Announcement: Certification and Rating Attachments for Fenestration Technologies DE-FOA-001000-1504 Project Objective This project is to develop an independent rating, certification, labeling, and performance verification

  4. 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.

  5. 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.

  6. 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.

  7. In-vessel ITER tubing failure rates for selected materials and coolants

    SciTech Connect (OSTI)

    Marshall, T.D.; Cadwallader, L.C.

    1994-03-01

    Several materials have been suggested for fabrication of ITER in-vessel coolant tubing: beryllium, copper, Inconel, niobium, stainless steel, titanium, and vanadium. This report generates failure rates for the materials to identify the best performer from an operational safety and availability perspective. Coolant types considered in this report are helium gas, liquid lithium, liquid sodium, and water. Failure rates for the materials are generated by including the influence of ITER`s operating environment and anticipated tubing failure mechanisms with industrial operating experience failure rates. The analyses define tubing failure mechanisms for ITER as: intergranular attack, flow erosion, helium induced swelling, hydrogen damage, neutron irradiation embrittlement, cyclic fatigue, and thermal cycling. K-factors, multipliers, are developed to model each failure mechanism and are applied to industrial operating experience failure rates to generate tubing failure rates for ITER. The generated failure rates identify the best performer by its expected reliability. With an average leakage failure rate of 3.1e-10(m-hr){sup {minus}1}and an average rupture failure rate of 3.1e-11(m-hr){sup {minus}1}, titanium proved to be the best performer of the tubing materials. The failure rates generated in this report are intended to serve as comparison references for design safety and optimization studies. Actual material testing and analyses are required to validate the failure rates.

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. Public Utilities Specialist (Rates) | Department of Energy

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

    Area Power Administration Locations Phoenix, Arizona Announcement Number ... Southwest Region, Power Marketing, Rates and Alternative Financing, Phoenix, AZ (G6100). ...

  14. Commercial Building Energy Asset Rating Workshop

    Broader source: Energy.gov [DOE]

    DOE commercial building energy asset rating program information presented to stakeholders at the workshop held in Washington, DC, December 2011

  15. 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

  16. 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

  17. 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).

  18. 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.

  19. 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)

  20. 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).

  1. 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.

  2. 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...

  3. 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...

  4. 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...

  5. 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.

  6. Seismic Design Expectations Report

    Office of Environmental Management (EM)

    ... plan for safety-related equipment been developed, as required by ASCESEI 43-05, Section 8? C1-10 If seismic qualification will use DOEEH-0545, has DOE approval been obtained? ...

  7. What Is the Right Rate? Loan Rates and Demand | Department of Energy

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

    Is the Right Rate? Loan Rates and Demand What Is the Right Rate? Loan Rates and Demand Better Buildings Neighborhood Program Financing Peer Exchange Call: "What is the Right Rate?" call slides and discussion summary, December 1, 2011. PDF icon Call Slides and Discussion Summary More Documents & Publications Structuring Rebate and Incentive Programs for Sustainable Demand Peer Exchange Call on Financing and Revenue: Bond Funding Financing Small Business Upgrades

  8. Method of controlling fusion reaction rates

    DOE Patents [OSTI]

    Kulsrud, Russell M.; Furth, Harold P.; Valeo, Ernest J.; Goldhaber, Maurice

    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.

  9. 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.

  10. Low rate entrainment feeder for fine solids

    SciTech Connect (OSTI)

    Scott, D.S.; Piskorz, J.

    1982-08-01

    A mechanically stirred entrainment-type feeder for fine solids has been developed which will give rates constant to +/- 5% for 1 h or more. The feeder was constructed in connection with a mini-fluidized bed flash pyrolysis project for both biomass and Canadian coals. It has been used to feed coal, sawdust and ground bark in sizes below 600 micro m at rates as low as 6 g/h. Gas to solids weight ratios obtained were from about 3:1 to 1:3. The effect on feed rates of most of the operating and geometric parameters was investigated at low feed rates. A mechanism for control of the feed rate was tested and found to be satisfactory.

  11. 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.

  12. 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.

  13. 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

    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.

  14. 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.

  15. 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.

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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:...

  7. 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...

  8. 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.

  9. 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...

  10. 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.

  11. Project Definition Rating Index Workbook Instructions

    Broader source: Energy.gov [DOE]

    This document provides instructions for use of the Project Definition Rating Index (PDRI) Workbook, a tool that automates the calculation of scores in the PDRI master spreadsheet in Appendix D,...

  12. 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...

  13. 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...

  14. 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,...

  15. 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.

  16. 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.

  17. PSNC Energy (Gas)- Green Building Rate Discount

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. An assessment of interlaboratory reproducibility in fenestration energy ratings

    SciTech Connect (OSTI)

    Wise, D.J.; Shah, B.V.

    2000-07-01

    This paper presents the results from the 1998 Interlaboratory Comparison Round Robin Testing. The fenestration thermal performance ratings (U-factors) were determined in accordance with NFRC 100 (1997), Procedures for Determining Fenestration Product U-factors and NFRC Test Procedure for Measuring the Steady-State Thermal Transmittance of Fenestration Systems (April 1997). A total of nine NFRC-accredited testing laboratories participated in the 1998 test round, and this paper presents the results. The round robin involved thermal performance tests on an aluminum-clad wood fixed window with high-performance glazing. Each participating laboratory received the same window product, which was shipped via common freight carrier. Each laboratory was directed to keep all test results confidential. The testing began in May and was completed in December of 1998. The results of each thermal test were reviewed and placed in a spreadsheet for analysis and data comparison. The expected results, or the relative position of data of any participating laboratory, as not divulged until all testing and data analysis was complete. Specific data regarding various measured and calculated performance values as required by the NFRC procedures and program documents are presented in this paper.

  4. 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.

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

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

    quantities. Document Available for Download PDF icon CK-1-H Rate Schedule More Documents & Publications CBR-1-H Wholesale Power Rate Schedule CTV-1-H Wholesale Power Rate ...

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

    Office of Environmental Management (EM)

    2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale Power Rate Schedule Area: Replacement Energy System: Kerr-Philpott This rate schedule shall be available to public...

  7. Contractor Rating and Feedback Systems | Department of Energy

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

    Rating and Feedback Systems Contractor Rating and Feedback Systems Better Buildings Residential Workforce Business Partners Peer Exchange Call Series: Contractor Rating and ...

  8. 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:...

  9. 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.

  10. 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.

  11. 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.

  12. 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

  13. 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).

  14. 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.

  15. 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...

  16. 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.

  17. 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.

  18. 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...

  19. 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...

  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.