National Library of Energy BETA

Sample records for information low-end estimate

  1. Interruption Cost Estimate Calculator | Open Energy Information

    Open Energy Info (EERE)

    Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are...

  2. Direct-Current Resistivity Survey | Open Energy Information

    Open Energy Info (EERE)

    fluid type and phase state of the pore water. Thermal: Resistivity influenced by temperature.1 Cost Information Low-End Estimate (USD): 4,827.00482,700 centUSD 4.827...

  3. U.S. Uranium Reserves Estimates - Energy Information Administration

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

    all Nuclear Reports U.S. Uranium Reserves Estimates Data for: 2008 | Release Date: July 2010 | Next Release Date: Discontinued The U.S. Energy Information Administration (EIA) has...

  4. Phase estimation with nonunitary interferometers: Information as a metric

    SciTech Connect (OSTI)

    Bahder, Thomas B.

    2011-05-15

    Determining the phase in one arm of a quantum interferometer is discussed taking into account the three nonideal aspects in real experiments: nondeterministic state preparation, nonunitary state evolution due to losses during state propagation, and imperfect state detection. A general expression is written for the probability of a measurement outcome taking into account these three nonideal aspects. As an example of applying the formalism, the classical Fisher information and fidelity (Shannon mutual information between phase and measurements) are computed for few-photon Fock and N00N states input into a lossy Mach-Zehnder interferometer. These three nonideal aspects lead to qualitative differences in phase estimation, such as a decrease in fidelity and Fisher information that depends on the true value of the phase.

  5. Property:Estimated End Date | Open Energy Information

    Open Energy Info (EERE)

    Estimated End Date Jump to: navigation, search Property Name Estimated End Date Property Type String Pages using the property "Estimated End Date" Showing 4 pages using this...

  6. Estimating Missing Features to Improve Multimedia Information Retrieval

    SciTech Connect (OSTI)

    Bagherjeiran, A; Love, N S; Kamath, C

    2006-09-28

    Retrieval in a multimedia database usually involves combining information from different modalities of data, such as text and images. However, all modalities of the data may not be available to form the query. The retrieval results from such a partial query are often less than satisfactory. In this paper, we present an approach to complete a partial query by estimating the missing features in the query. Our experiments with a database of images and their associated captions show that, with an initial text-only query, our completion method has similar performance to a full query with both image and text features. In addition, when we use relevance feedback, our approach outperforms the results obtained using a full query.

  7. Property:EstimatedCostLowUSD | Open Energy Information

    Open Energy Info (EERE)

    Name EstimatedCostLowUSD Property Type Quantity Description the low estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  8. Property:EstimatedCostHighUSD | Open Energy Information

    Open Energy Info (EERE)

    Name EstimatedCostHighUSD Property Type Quantity Description the high estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  9. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Info (EERE)

    Name EstimatedCostMedianUSD Property Type Quantity Description the median estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  10. Retrofit Energy Savings Estimation Model | Open Energy Information

    Open Energy Info (EERE)

    Desktop Application Website: btech.lbl.govtoolsresemresem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model1 Logo: Retrofit...

  11. Property:EstimatedTimeMedian | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeMedian" Showing 25 pages...

  12. Property:EstimatedTimeLow | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeLow" Showing 25 pages...

  13. Property:EstimatedTimeHigh | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeHigh" Showing 25 pages...

  14. U.S. Uranium Reserves Estimates - Energy Information Administration

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

    Nuclear & Uranium Glossary › FAQS › Overview Data Status of U.S. nuclear outages (interactive) Nuclear power plants Uranium & nuclear fuel Spent nuclear fuel All nuclear data reports Analysis & Projections Major Topics Most popular Nuclear plants and reactors Projections Recurring Uranium All reports Browse by Tag Alphabetical Frequency Tag Cloud ‹ See all Nuclear Reports U.S. Uranium Reserves Estimates Data for: 2008 | Release Date: July 2010 | Next Release Date: Discontinued

  15. Template:ExplorationTechnique | Open Energy Information

    Open Energy Info (EERE)

    could provide EstimatedCostLowUSD - the estimated value only of the low end of the cost range (units described in CostUnit) EstimatedCostMedianUSD - the estimated value only...

  16. Template:ExplorationGroup | Open Energy Information

    Open Energy Info (EERE)

    could provide EstimatedCostLowUSD - the estimated value only of the low end of the cost range (units described in CostUnit) EstimatedCostMedianUSD - the estimated value only...

  17. Resources for global risk assessment: The International Toxicity Estimates for Risk (ITER) and Risk Information Exchange (RiskIE) databases

    SciTech Connect (OSTI)

    Wullenweber, Andrea Kroner, Oliver; Kohrman, Melissa; Maier, Andrew; Dourson, Michael; Rak, Andrew; Wexler, Philip; Tomljanovic, Chuck

    2008-11-15

    The rate of chemical synthesis and use has outpaced the development of risk values and the resolution of risk assessment methodology questions. In addition, available risk values derived by different organizations may vary due to scientific judgments, mission of the organization, or use of more recently published data. Further, each organization derives values for a unique chemical list so it can be challenging to locate data on a given chemical. Two Internet resources are available to address these issues. First, the International Toxicity Estimates for Risk (ITER) database ( (www.tera.org/iter)) provides chronic human health risk assessment data from a variety of organizations worldwide in a side-by-side format, explains differences in risk values derived by different organizations, and links directly to each organization's website for more detailed information. It is also the only database that includes risk information from independent parties whose risk values have undergone independent peer review. Second, the Risk Information Exchange (RiskIE) is a database of in progress chemical risk assessment work, and includes non-chemical information related to human health risk assessment, such as training modules, white papers and risk documents. RiskIE is available at (http://www.allianceforrisk.org/RiskIE.htm), and will join ITER on National Library of Medicine's TOXNET ( (http://toxnet.nlm.nih.gov/)). Together, ITER and RiskIE provide risk assessors essential tools for easily identifying and comparing available risk data, for sharing in progress assessments, and for enhancing interaction among risk assessment groups to decrease duplication of effort and to harmonize risk assessment procedures across organizations.

  18. Technical information

    Gasoline and Diesel Fuel Update (EIA)

    Home> Commercial Buildings Home> Technical Information > Estimation of Standard Errors Estimation of Standard Errors Sampling error is the difference between the survey estimate...

  19. Recommendations to the Technical Steering Panel regarding approach for estimating individual radiation doses resulting from releases of radionuclides to the Columbia River. Volume 2, VOI supporting information

    SciTech Connect (OSTI)

    Brothers, A.J.; Napier, B.A.

    1992-08-01

    At the direction of the Technical Steering Panel (TSP) of the Hanford Environmental Dose Reconstruction (HEDR) Project, Battelle staff have reviewed and analyzed available data regarding possible historical radiation doses to individuals resulting from radionuclide releases to the Columbia River. The objective of this review was to recommend to the TSP the spatial and temporal scope and level of effort on Columbia River work to most effectively extend work performed in Phase I of the project to meet the project objectives. Four stretches of the Columbia River and adjacent Pacific coastal waters were defined and investigated for four time periods. Radiation doses arising from ten potentially major exposure pathways were evaluated for each of the time/location combinations, and several alternative methods were defined for estimating the doses from each pathway. Preliminary cost estimates were also developed for implementing dose estimation activities for each of the possible combinations. The number of combinations of the alternatives is obviously very large. A ``value of information`` (VOI) decision analysis tool was developed and applied to the problem of selecting a few ``optimal`` sets of alternatives to consider. This VOI analysis relies on both available data and the judgement of technical experts. Input data and the algorithms used are described.

  20. Estimating Methods

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  1. Background Information on CBECS

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

    Information on CBECS The following topics provide detailed information on survey methodology, the kinds of errors associated with sample surveys, estimation of standard errors,...

  2. CHP Emissions Reduction Estimator | Open Energy Information

    Open Energy Info (EERE)

    Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Softwaremodeling tools User Interface:...

  3. Parameter Estimation with Partial Information. (Conference) ...

    Office of Scientific and Technical Information (OSTI)

    Resource Relation: Conference: Workshop on Numerical Methods for Uncertainty ... the Workshop on Numerical Methods for Uncertainty Quantification Hausdorff Research ...

  4. Property:EstimatedTime | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Retrieved from "http:en.openei.orgwindex.php?titleProperty:...

  5. Adjusted Estimates of Texas Natural Gas Production

    Reports and Publications (EIA)

    2005-01-01

    The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO2) production.

  6. Automated Estimating System

    Energy Science and Technology Software Center (OSTI)

    1996-04-15

    AES6.1 is a PC software package developed to aid in the preparation and reporting of cost estimates. AES6.1 provides an easy means for entering and updating the detailed cost, schedule information, project work breakdown structure, and escalation information contained in a typical project cost estimate through the use of menus and formatted input screens. AES6.1 combines this information to calculate both unescalated and escalated cost for a project which can be reported at varying levelsmore » of detail. Following are the major modifications to AES6.0f: Contingency update was modified to provide greater flexibility for user updates, Schedule Update was modified to provide user ability to schedule Bills of Material at the WBS/Participant/Cost Code level, Schedule Plot was modified to graphically show schedule by WBS/Participant/Cost Code, All Fiscal Year reporting has been modified to use the new schedule format, The Schedule 1-B-7, Cost Schedule, and the WBS/Participant reprorts were modified to determine Phase of Work from the B/M Cost Code, Utility program was modified to allow selection by cost code and update cost code in the Global Schedule update, Generic summary and line item download were added to the utility program, and an option was added to all reports which allows the user to indicate where overhead is to be reported (bottom line or in body of report)« less

  7. State Energy Production Estimates

    Gasoline and Diesel Fuel Update (EIA)

    Production Estimates 1960 Through 2014 2014 Summary Tables U.S. Energy Information Administration | State Energy Data 2014: Production 1 Table P1. Energy Production Estimates in Physical Units, 2014 Alabama 16,377 181,054 9,828 0 Alaska 1,502 345,331 181,175 0 Arizona 8,051 106 56 1,044 Arkansas 94 1,123,678 6,845 0 California 0 252,718 204,269 4,462 Colorado 24,007 1,631,391 95,192 3,133 Connecticut 0 0 0 0 Delaware 0 0 0 0 District of Columbia 0 0 0 0 Florida 0 369 2,227 0 Georgia 0 0 0 2,517

  8. Issues and Methods for Estimating the Percentage Share of Ethanol...

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

    Energy Information Administration 1 Issues and Methods for Estimating the Share of Ethanol in the Motor Gasoline Supply U.S. Energy Information Administration October 6, 2011...

  9. How EIA Estimates Natural Gas Production

    Reports and Publications (EIA)

    2004-01-01

    The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing states and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The states and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

  10. Methodology for Monthly Crude Oil Production Estimates

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

    015 U.S. Energy Information Administration | Methodology for Monthly Crude Oil Production Estimates 1 Methodology for Monthly Crude Oil Production Estimates Executive summary The U.S. Energy Information Administration (EIA) relies on data from state and other federal agencies and does not currently collect survey data directly from crude oil producers. Summarizing the estimation process in terms of percent of U.S. production: * 20% is based on state agency data, including North Dakota and

  11. Concurrent signal combining and channel estimation in digital communications

    DOE Patents [OSTI]

    Ormesher, Richard C.; Mason, John J.

    2011-08-30

    In the reception of digital information transmitted on a communication channel, a characteristic exhibited by the communication channel during transmission of the digital information is estimated based on a communication signal that represents the digital information and has been received via the communication channel. Concurrently with the estimating, the communication signal is used to decide what digital information was transmitted.

  12. Robust Bearing Estimation for 3-Component Stations

    SciTech Connect (OSTI)

    Claassen, John P.

    1999-06-03

    A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the in- herent information in the arrival at every step of the process to achieve near-optimal results. In particular, the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, andjinally to apply bias corrections when calibration information is available to yield a single final estimate. The method was applied to a small but challenging set of events in a seismically active region. The method demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted fiom these findings.

  13. Robust bearing estimation for 3-component stations

    SciTech Connect (OSTI)

    CLAASSEN,JOHN P.

    2000-02-01

    A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the inherent information in the arrival at every step of the process to achieve near-optimal results. In particular the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, and finally to apply bias corrections when calibration information is available to yield a single final estimate. The algorithm was applied to a small but challenging set of events in a seismically active region. It demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted from these findings.

  14. General Information

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

    information General Information JLF Contacts Request a Tour

  15. Estimating Temperature Distributions In Geothermal Areas Using...

    Open Energy Info (EERE)

    "education level" (which depends on the amount and structure of information used for teaching) and (b) the distance of the point at which the estimate is made from the area for...

  16. Cost Estimation Package

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  17. Check Estimates and Independent Costs

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

  18. Systematic Approach for Decommissioning Planning and Estimating

    SciTech Connect (OSTI)

    Dam, A. S.

    2002-02-26

    Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.

  19. State Energy Production Estimates

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

    Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052 351,259...

  20. Types of Cost Estimates

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

  1. Reservoir Temperature Estimator

    Energy Science and Technology Software Center (OSTI)

    2014-12-08

    The Reservoir Temperature Estimator (RTEst) is a program that can be used to estimate deep geothermal reservoir temperature and chemical parameters such as CO2 fugacity based on the water chemistry of shallower, cooler reservoir fluids. This code uses the plugin features provided in The Geochemist’s Workbench (Bethke and Yeakel, 2011) and interfaces with the model-independent parameter estimation code Pest (Doherty, 2005) to provide for optimization of the estimated parameters based on the minimization of themore » weighted sum of squares of a set of saturation indexes from a user-provided mineral assemblage.« less

  2. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  3. Guidelines for Estimating Unmetered Industrial Water Use

    SciTech Connect (OSTI)

    Boyd, Brian K.

    2010-08-01

    The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

  4. Estimating Specialty Costs

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

  5. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  6. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  7. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  8. Dynamic estimator for determining operating conditions in an internal combustion engine

    DOE Patents [OSTI]

    Hellstrom, Erik; Stefanopoulou, Anna; Jiang, Li; Larimore, Jacob

    2016-01-05

    Methods and systems are provided for estimating engine performance information for a combustion cycle of an internal combustion engine. Estimated performance information for a previous combustion cycle is retrieved from memory. The estimated performance information includes an estimated value of at least one engine performance variable. Actuator settings applied to engine actuators are also received. The performance information for the current combustion cycle is then estimated based, at least in part, on the estimated performance information for the previous combustion cycle and the actuator settings applied during the previous combustion cycle. The estimated performance information for the current combustion cycle is then stored to the memory to be used in estimating performance information for a subsequent combustion cycle.

  9. Residential Energy Consumption Survey (RECS) - U.S. Energy Information...

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

    This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses - information ...

  10. Information Systems | Department of Energy

    Energy Savers [EERE]

    Assessment Information System (CAIS) is a web-based cost estimating application that ... (RevCom) RevCom is an online, real-time web application to manage and support the ...

  11. Cost Estimating Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates.

  12. Cost Estimating Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    The objective of this Guide is to improve the quality of cost estimates and further strengthen the DOE program/project management system. The original 25 separate chapters and three appendices have been combined to create a single document.

  13. Cost Estimating Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

  14. Derived Annual Estimates

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

    74-1988 For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity...

  15. Independent Cost Estimate (ICE)

    Broader source: Energy.gov [DOE]

    Independent Cost Estimate (ICE). On August 8-12, the Office of Project Management Oversight and Assessments (PM) will conduct an ICE on the NNSA Albuquerque Complex Project (NACP) at Albuquerque, NM. This estimate will support the Critical Decision (CD) for establishing the performance baseline and approval to start construction (CD-2/3). This project is at CD-1, with a total project cost range of $183M to $251M.

  16. Contact Information | The Ames Laboratory

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

    Contact Information Contact Information

  17. Hotel Information

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

    Rockville Pike, Rockville, Maryland, 20852. The hotel is about 27 miles from Dulles Airport. Hotel Information Home Page Maps and Transportation Area Information Sleeping Room...

  18. 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...

  19. Applicant Information

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

    Applicant Information General Information for Applicants Bringing together top, space science students with internationally recognized researchers at Los Alamos in an educational...

  20. Ordering Information

    Gasoline and Diesel Fuel Update (EIA)

    coal industry Natural gas trade (Table 4.3) Ordering Information This publication and other Energy Information Administration (EIA) publications may be purchased from the...

  1. Fire Information

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

    Resources Emergency Communication Fire Information Fire Information Focusing on fire prevention and protection. Contact Fire Management Officer Manuel J. L'Esperance...

  2. Buildings GHG Mitigation Estimator Worksheet, Version 1

    Broader source: Energy.gov [DOE]

    Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.

  3. Information Repository

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

    Information Repository Index Permit Renewal Application (Parts A and B) Submissions, September 2009, Department of Energy CBFO/Washington TRU Solutions Administrative Completeness Determination of the Amended Permit Renewal Application WIPP Hazardous Waste Facility Permit, JP Bearzi, NMED dated, November 25, 2009 Hazardous Waste Facility Permit effective August 2016 New Mexico Environment Department 2016 Information Repository Documents 2015 Information Repository Documents 2014 Information

  4. Parametric Hazard Function Estimation.

    Energy Science and Technology Software Center (OSTI)

    1999-09-13

    Version 00 Phaze performs statistical inference calculations on a hazard function (also called a failure rate or intensity function) based on reported failure times of components that are repaired and restored to service. Three parametric models are allowed: the exponential, linear, and Weibull hazard models. The inference includes estimation (maximum likelihood estimators and confidence regions) of the parameters and of the hazard function itself, testing of hypotheses such as increasing failure rate, and checking ofmore » the model assumptions.« less

  5. REQUESTS FOR RETIREMENT ESTIMATE

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

    REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________

  6. Weekly Coal Production Estimation Methodology

    Gasoline and Diesel Fuel Update (EIA)

    Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio ...

  7. Estimating Demand Response Market Potential | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentestimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible...

  8. Coalbed Methane Estimated Production

    Gasoline and Diesel Fuel Update (EIA)

    Coal Market Module of the National Energy Modeling System Model Documentation 2013 June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Model Documentation: Coal Market Module 2013 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

  9. General Information

    National Nuclear Security Administration (NNSA)

    Site Waste Profile Sheet - Revision 0 - February 27, 2012 (Log No. 2012-048) A. Generator Information 1. Company name: ...

  10. Magnetic nanoparticle temperature estimation

    SciTech Connect (OSTI)

    Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.

    2009-05-15

    The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.

  11. Estimates of U.S. Biomass Energy Consumption 1992

    Reports and Publications (EIA)

    1994-01-01

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass derived primary energy used by the U.S. economy. It presents estimates of 1991 and 1992 consumption.

  12. Use of Cost Estimating Relationships

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

  13. Ordering Information

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

    is included, but an estimated 3.4 quadrillion Btu of renewable Note 8; and Table A8. Geothermal Energy and Other: Section 2, energy used by other sectors is not included....

  14. Ordering Information

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

    is included, but an estimated 3.4 quadrillion Btu of renewable Note 8; and Table A8. * Geothermal Energy and Other: Section 2, energy used by other sectors is not included....

  15. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  16. Local Information

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

    Local Information Local Information Bringing together top space science students with internationally recognized researchers at Los Alamos in an educational and collaborative atmosphere. Contacts Director Misa Cowee Email Administrative Assistant Lynea Koshar Email Request more information Email Housing, transportation Every year several hundred students come to Los Alamos to work and live here. Housing can get quite scarce, and options will be more expensive and less attractive than you expect

  17. Visitor Information

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

    Information Visitor Information The Museum is open to the public every day except Thanksgiving, Christmas, and New Year's. Contact Us thumbnail of 1350 Central Avenue Bradbury Science Museum 1350 Central Avenue 505 667-4444 Email Museum Hours Open every day except Thanksgiving, Christmas, and New Year's. Tuesday-Saturday: 10 am-5 pm Sunday & Monday: 1-5 pm FREE ADMISSION Download our brochure for more information (pdf) Weather conditions Call ahead during snow storms: (505) 667-6622 or (877)

  18. Hotel Information

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

    Logistics Hotel Information Location The workshop was held at the Hilton Washington DC/Rockville Executive Meeting Center. Address is 1750 Rockville Pike, Rockville, Maryland, 20852. The hotel is about 27 miles from Dulles Airport. Hotel Information Home Page Maps and Transportation Area Information Sleeping Room Block A block of rooms at the federal per diem rate of $226++ per night (single or double) has been reserved for the nights of September 10 & 11, 2012. As a courtesy, this rate will

  19. Hotel Information

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

    Logistics Hotel Information Location The review was held at the Hilton Washington DC/Rockville Executive Meeting Center. Address is 1750 Rockville Pike, Rockville, Maryland, 20852. Hotel Information Home Page Maps and Transportation Area Information Sleeping Room Block A block of rooms at $183 + 15% tax per night (single or double) has been reserved for the nights of November 26 & 27, 2012. Making Your Reservation To reserve your room, please call 1-800-HILTONS (445-8667) and refer to the

  20. Information Science

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

    Information Science and Technology (ASIS&T) American Society for Indexing (ASI) Digital Library Federation (DLF) National Archives and Records Administration (NARA) Special...

  1. Hotel Information

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

    the Hilton Washington DCRockville Executive Meeting Center. Address is 1750 Rockville Pike, Rockville, Maryland, 20852. Hotel Information Home Page Maps and Transportation Area...

  2. Contact Information | The Ames Laboratory

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

    Contact Information

  3. Data Processing (and Reprocessing) Information

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

    Data Processing Information for the SWATS Instrument D. Kenneth Fisher Introduction In Summer 2000, a new calibration equation was developed for the Campbell Scientific, Inc. Model 229L moisture sensor installed as part of the SWATS instrument. Other steps in the data- processing routine used to obtain water-potential and water-content estimates from the sensors were also re-examined. Modifications were made which were intended to improve the estimates, and to provide a data-processing routine

  4. Monitored Geologic Repository Life Cycle Cost Estimate Assumptions Document

    SciTech Connect (OSTI)

    R. Sweeney

    2000-03-08

    The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost estimate and schedule update incorporating information from the Viability Assessment (VA), License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

  5. MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT

    SciTech Connect (OSTI)

    R.E. Sweeney

    2001-02-08

    The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

  6. User Information

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

    User Information User Information Print ALSHub User Portal User Guide A step-by-step guide for users about how to apply and prepare for beam time at the ALS. Experiment Safety Upon receiving beam time, complete an Experiment Safety Sheet Prospective Users Users from Industry Contacts for Users User Policy Data Management Users' Executive Committee (UEC) User Meeting

  7. EIA Corrects Errors in Its Drilling Activity Estimates Series

    Reports and Publications (EIA)

    1998-01-01

    The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status.

  8. EIA Completes Corrections to Drilling Activity Estimates Series

    Reports and Publications (EIA)

    1999-01-01

    The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status.

  9. Document Information

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

    SECTION 5 of 5 Document Information Document # FOIA2011-01376 Revision Title FREEDOM OF INFORMATION ACT REQUEST (FOI 2011-01 376) [SEC. 5 OF 5] Date 07/26/2011 Originator RIEHLE DC Originator Co. DOE-RL Recipient O'BRIEN L Recipient Co. HOA References 4, WRPI -SV-1 706, 0031161, WRPI -SV-1 603, 2404-WB, 2404-WC, 5, SW-040-043, W-040-0439 6, EM-RL- PHMC-SOLIDWASTE-2008-0007, EM-RL-PHMC- SOLI DWASTE-2010-0003, WRAP-RP-1 1-03 Keywords OCE, FOIA, SENSITIVE Projects Other Information Attachment V

  10. New developments in capital cost estimating

    SciTech Connect (OSTI)

    Stutz, R.A.; Zocher, M.A.

    1988-01-01

    The new developments in cost engineering revolve around the ability to capture information that in the past could not be automated. The purpose of automation is not to eliminate the expert cost engineer. The goal is to use available technology to have more information available to the professionals in the cost engineering field. In that sense, the demand for expertise increases in order to produce the highest quality estimate and project possible from all levels of cost engineers. We cannot overemphasize the importance of using a good source of expert information in building these types of programs. ''Garbage in, garbage out'' still applies in this form of programming. Expert systems technology will become commonplace in many vertical markets; it is important to undersand what can and cannot be accomplished in our field, and where this technology will lead us in the future.

  11. Historical Information

    Office of Legacy Management (LM)

    ... motion hazard to the occupants. 2. Medical and Veterinarian Support Arrangements ... This e s t i m a t e i s based on f i s s i o n yield and isotope decay information c u r ...

  12. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-20

    The protection and control of classified information is critical to our nations security. This Order establishes requirements and responsibilities for Department of Energy (DOE) Departmental Elements, including the National Nuclear Security Administration (NNSA), to protect and control classified information as required by statutes, regulation, Executive Orders, government-wide policy directives and guidelines, and DOE policy and directives. Cancels DOE M 470.4-4A Chg except for Section D.

  13. Information Request

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

    November 25, 2008 TO: Sue Tierney, Phil Niedzielski-Eichner, Skila Harris FROM: Chris Kouts SUBJECT: Information Request As requested, enclosed is the additional information you requested yesterday. 1. Testimony: * September 24, 2008 before the Senate Committee on Commerce, Science and Transportation, * July 15, 2008 before the House Committee on Energy and Commerce * October 4, 2007 before the House Committee on the Budget and Chairman Spratt 2. Proposed Legislation "Nuclear Fuel

  14. Visitor Information

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

    Visitor Info Visitor Information NERSC is located in Shyh Wang Hall-also known as the computational research and theory (CRT) building (Bldg. 59)-on the campus of Lawrence Berkeley National Laboratory in Berkeley, California. You can find information about visiting the lab, including an interactive campus map, transportation and lodging suggestions at http://www.lbl.gov/visit/. Your host must arrange site access prior to your visit. Last edited: 2016-01-06 16:48:46

  15. Visitor Information

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

    Visitor Info Visitor Information NERSC is located in Shyh Wang Hall-also known as the computational research and theory (CRT) building (Bldg. 59)-on the campus of Lawrence Berkeley National Laboratory in Berkeley, California. You can find information about visiting the lab, including an interactive campus map, transportation and lodging suggestions at http://www.lbl.gov/visit/. Your host must arrange site access prior to your visit. Last edited: 2016-01-06 16:48:46

  16. Information Sciences

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

    3 Information Sciences Uncovering actionable knowledge and generating insight into exascale datasets from heterogeneous sources in real time Leadership Group Leader Amy Larson (Acting) Email Deputy Group Leader Gowri Srinivasan (Acting) Email Contact Us Administrator Yvonne McKelvey Email Conceptual illustration of futuristic data stream processing. Developing methods and tools for understanding complex interactions and extracting actionable information from massive data streams. Basic and

  17. Project Information

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

    Project Information Slider award map The REE Program funds projects focused on developing economically feasible and environmentally benign technologies for recovering REEs from coal and/or coal by-products. Project Information The listed projects represent the current REE program portfolio. Agreement Number Project Title Performer Name FWP-RIC REE FY2016-2020 Rare Earth Elements (REE) from Coal and Coal By-Products National Energy Technology Laboratory FE0027167 High Yield and Economical

  18. Regional Information

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

    Regional Information There is plenty to do and see in the cities of Golden and Denver, Colorado. Here you'll find links to general information about these areas, plus hospitals, local universities and colleges, entertainment, sports, amusement parks, and more. Golden City of Golden Golden's 2-Hour Vacation Denver www.denver.com www.denver.org Denver Public Library Colorado State of Colorado Colorado tourism Transportation (Bus and Light Rail) RTD Hospitals Largest Hospitals in Metro Denver

  19. Computing Information

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

    Information From here you can find information relating to: Obtaining the right computer accounts. Using NIC terminals. Using BooNE's Computing Resources, including: Choosing your desktop. Kerberos. AFS. Printing. Recommended applications for various common tasks. Running CPU- or IO-intensive programs (batch jobs) Commonly encountered problems Computing support within BooNE Bringing a computer to FNAL, or purchasing a new one. Laptops. The Computer Security Program Plan for MiniBooNE The

  20. Cost Estimating, Analysis, and Standardization

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1984-11-02

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  1. IDC RP2 & 3 US Industry Standard Cost Estimate Summary.

    SciTech Connect (OSTI)

    Harris, James M.; Huelskamp, Robert M.

    2015-01-01

    Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

  2. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-20

    The protection and control of classified information is critical to our nations security. This Order establishes requirements and responsibilities for Department of Energy (DOE) Departmental Elements, including the National Nuclear Security Administration (NNSA), to protect and control classified information as required by statutes, regulation, Executive Orders, government-wide policy directives and guidelines, and DOE policy and directives. Cancels DOE M 470.4-4A Chg except for Section D. Admin Chg 1, dated 11-23-2012, cancels DOE O 471.6. Canceled by Admin Chg 2 dated 5-15-15.

  3. Document Information

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

    5 Document Information Document # FOIA-2009-0054 7 Revision Title FREEDOM OF INFORMATION ACT REQUEST (FOI 2009-0054) Date 09/02/2009 Originator RIEHLE DC Originator Co. [LOE-RL Recipient JARVIS R Recipient Co. HEART OF __________AMERICA NW References Keywords OCE, FOIA, SENSITIVE, PRIVATE CITIZEN Projects Other Inf ormation___________________________ WHC-SD-W025-AP-001, Rev. 2 1 1.0 INTRODUCTION 2 3 4 This response action plan (RAP) has been prepared for the Low-Level 5 Burial Grounds, Trenches

  4. Hotel Information

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

    Hotel Information Hotel Information Los Alamos National Laboratory is situated on a mesatop on the eastern side of the Jemez Mountains, an impressive series of ancient volcanoes with extensive views of the Sangre de Cristo Mountains in the east, where sunsets turn the western slopes a vibrant red. We hope you enjoy your stay in the Land of Enchantment. Contacts Mike Rogers (505) 665-2513 Email Chandra Savage Marsden (505) 664-0183 Email Lodging A block of rooms has been reserved under the name

  5. WIPP - Freedom of Information Act (FOIA) Requests Received and...

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

    Requests Received and Estimated Completion Dates Requesters who have submitted Freedom of Information (FOIA) requests to the Carlsbad Field Office on or after December 31, 2008,...

  6. Making Fast Start Finance Work | Open Energy Information

    Open Energy Info (EERE)

    major contributor countries. This information is clearly subject to change, but our hope is that these initial estimates can serve as the basis for discussion between different...

  7. Time and Resource Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2004-06-08

    RESTORE is a computer software tool that allows one to model a complex set of steps required to accomplish a goal (e.g., repair a ruptured natural gas pipeline and restore service to customers). However, the time necessary to complete step may be uncertain and may be affected by conditions, such as the weather, the time of day, the day of the week. Therefore, "nature" can influence which steps are taken and the time needed tomore » complete each step. In addition, the tool allows one to model the costs for each step, which also may be uncertain. RESTORE allows the user to estimate the time and cost, both of which may be uncertain, to achieve an intermediate stage of completion, as well as overall completion. The software also makes it possible to model parallel, competing groups of activities (i.e., parallel paths) so that progreSs at a ‘merge point’ can proceed before other competing activities are completed. For example, RESTORE permits one to model a workaround and a simultaneous complete repair to determine a probability distribution for the earliest time service can be restored to a critical customer. The tool identifies the ‘most active path’ through the network of tasks, which is extremely important information for assessing the most effective way to speed-up or slow-down progress. Unlike other project planning and risk analysis tools, RESTORE provides an intuitive, graphical, and object-oriented environment for structuring a model and setting its parameters.« less

  8. Supercooled liquid water Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2012-05-04

    The Cloud Supercooled liquid water Estimation Tool (SEET) is a user driven Graphical User Interface (GUI) that estimates cloud supercooled liquid water (SLW) content in terms of vertical column and total mass from Moderate resolution Imaging Supercooled liquid water Estimation Tool Spectroradiometer (MODIS) spatially derived cloud products and realistic vertical cloud parameterizations that are user defined. It also contains functions for post-processing of the resulting data in tabular and graphical form.

  9. Robust and intelligent bearing estimation

    DOE Patents [OSTI]

    Claassen, John P.

    2000-01-01

    A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.

  10. Energy Information Administration (EIA)- CBECS Survey Background and

    Gasoline and Diesel Fuel Update (EIA)

    Technical Information Estimation of Standard Errors Sampling error is the difference between the survey estimate and the true population value due to the use of a random sample to estimate the population. This difference arises because a random subset, rather than the whole population, is observed. The typical magnitude of the sampling error is measured by the standard error of the estimate. The standard error is the root-mean-square difference between the estimate based on a particular

  11. WIPP Stakeholder Information Page

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

    WIPP Stakeholder Information Index 2016 WIPP Stakeholder Information Documents 2015 WIPP Stakeholder Information Documents 2014 WIPP Stakeholder Information Documents 2013 WIPP Stakeholder Information Documents 2012 WIPP Stakeholder Information Documents 2011 WIPP Stakeholder Information Documents 2010 WIPP Stakeholder Information Documents 2009 WIPP Stakeholder Information Documents 2008 WIPP Stakeholder Information Documents 2007 WIPP Stakeholder Information Documents 2006 WIPP Stakeholder

  12. UWB channel estimation using new generating TR transceivers

    DOE Patents [OSTI]

    Nekoogar, Faranak; Dowla, Farid U.; Spiridon, Alex; Haugen, Peter C.; Benzel, Dave M.

    2011-06-28

    The present invention presents a simple and novel channel estimation scheme for UWB communication systems. As disclosed herein, the present invention maximizes the extraction of information by incorporating a new generation of transmitted-reference (Tr) transceivers that utilize a single reference pulse(s) or a preamble of reference pulses to provide improved channel estimation while offering higher Bit Error Rate (BER) performance and data rates without diluting the transmitter power.

  13. RADIATION DOSE ESTIMATES TO ADULTS AND CHILDREN FROM VARIOUS

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

    RADIATION DOSE ESTIMATES TO ADULTS AND CHILDREN FROM VARIOUS RADIOPHARMACEUTICALS Latest Revision Date: 4/30/96 Radiation Internal Dose Information Center Oak Ridge Institute for Science and Education P.O. Box 117 Mail Stop 51 Oak Ridge, TN 37831 The radiopharmaceuticals and nuclear medicine studies considered in this report are listed in the Table of Contents on page 2. The radiation dose estimates given in the dose tables are based on the assumptions and models given in Chapter 17, Radiation

  14. Derived Annual Estimates of Manufacturing Energy Consumption...

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

    > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This...

  15. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-06-29

    This Order establishes requirements and responsibilities for Department of Energy (DOE) Departmental Elements, including the National Nuclear Security Administration (NNSA), to protect and control classified information as required by statutes, regulation, Executive Orders, government-wide policy directives and guidelines, and DOE policy and directives. (The original DOE O 471.6 canceled DOE M 470.4-4A, except for Section D). Admin Chg 2, dated 5-15-15, supersedes Admin Chg 1. Certified 5-21-2015.

  16. Information Repository

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

    2 Information Repository Documents WIPP Annual Waste Minimization Report Transmittal of the Waste Isolation Pilot Plant Annual Waste Minimization Report, dated November 19, 2012 Class 1 Permit Modifications and NMED Responses Administrative Completeness and Final Determination, Class 1 Permit Modification Request, Contingency Plan Update, JE Kieling NMED dated December 17, 2012 Class 1 Permit Modification Request, Contingency Plan Update, Jose R. Franco, CBFO and M. F. Sharif, NWP, dated

  17. Information Repository

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

    3 Information Repository Documents WIPP Annual Waste Minimization Report Transmittal of the Waste Isolation Pilot Plant Annual Waste Minimization Report, dated November 14, 2013 Class 1 Permit Modifications and NMED Responses Class 1 Modification, August 29, 2013 WIPP Hazardous Waste Facility Permit EPA I.D. Number NM4890139088. (1. revise a course outline; 2. revise table and panel figures to include Panel 7; 3. update description related to Type B Packages; and 4. update TRUPACT-II and

  18. Information Repository

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

    4 Information Repository Documents WIPP Annual Waste Minimization Report Transmittal of the Waste Isolation Pilot Plant Project 2014 Waste Minimization Report, Permit Number NM4890139088-TSDF Jose R. Franco/CBFO and Robert L. McQuinn/NWP dated November 17, 2014 Class 1 Permit Modifications and NMED Responses Notification of Class 1 Permit Modification to the Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Jose R. Franco/CBFO and Robert L. McQuinn/NWP dated

  19. Visitor Information

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

    Visitor Information Visiting the Transportation Research and Analysis Computing Center For guests who wish to visit and meet with the technical staff, please contact the TRACC service desk or the Technical Point of Contact assigned to you for registration, scheduling, and confirmation, including Foreign Visits and Assignments. Registration with your host is required for entry into the TRACC facilities. A photo I.D., such as a driver's license or passport, is also required for facility access. If

  20. Examples of Cost Estimation Packages

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

  1. Header Information

    National Nuclear Security Administration (NNSA)

    NRC 741 Crosswalk to SAMS 741 Field Number 741 Field Name SAMS 8.0 Field Header Information 1 Shipper's RIS ShipperRIS 2 Receiver's RIS ReceiverRIS 3 Transaction No. TransferNumber 4 Correction No. CorrectionNumber 5a Processing Code - Shipper * not entered 5b Processing Code - Receiver * not entered 6a Action Code - Shipper ActionCode 6b Action Code - Receiver ActionCode 8a Name and Address of Shipper * not entered 9a Name and Address of Receiver * not entered 10 No. of Data Lines NumberofLines

  2. Historical. Information.

    Office of Legacy Management (LM)

    Historical. Information. ~ H.. 1 . General Project Rulison Manager' s Report, April. 1973 DISCLAIMER Portions of this document may be illegible in electronic image products. Images are produced from the best available original document. PROJECT RULISON MANAGER'S R E P O R T APRIL 197.3 UNITED STATES ATOMIC ENERGY COMMISSION NEVADA OPERATIONS OFFICE Las Vegas, Nevada PREFACE , The R u l i s o n ' p r o j e c t , d e t o n a t e d September 1 0 , 1969, 'was t h e second n u c l e a r . d e t o n a

  3. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2007-06-29

    Establishes security requirements for the protection and control of information and matter required to be classified or controlled by statutes, regulations, or Department of Energy directives. Section E, Technical Surveillance Countermeasures Program, is Official Use Only. Please contact the DOE Office of Health, Safety and Security at 301-903-0292 if your official duties require you to have access to this part of the directive. Cancels: DOE M 471.2-1B, DOE M 471.2-1C, DOE M 471.2-4, and DOE O 471.2A

  4. Information Security

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2005-08-26

    This Manual establishes security requirements for the protection and control of information and matter required to be classified or controlled by statutes, regulations, or Department of Energy directives. Attachment E, Technical Surveillance Countermeasures Program, is for Official Use Only. Contact the Office of Security and Safety Performance Assurance at 301-903-3653 if your official duties require you to have access to this part of the directive. Cancels: DOE M 471.2-1B, DOE M 471.2-1C, DOE M 471.2-4, and DOE O 471.2A.

  5. Geneial Information

    Office of Legacy Management (LM)

    --- _____ ii3 ' 6 f Geneial Information su-u+./ I The Commission maintains a residue storage area known as the Airport Site at Robertson, l Missouri. This site is located immediately north of the St. Louis Municipal Airport and east of the McIknnell Aircraft Corporation Plant on Rr~wn Road in St. Louis County. Consent to use and occupy the 21.7 acre tract was obtalned by the Manhattan Dlstrlot on Marsh 2, 19&6. T!ltle uas auqubed to the property on Janwry 3, 1947 by condemnation proceeding8

  6. Cost estimate of initial SSC experimental equipment

    SciTech Connect (OSTI)

    1986-06-01

    The cost of the initial detector complement at recently constructed colliding beam facilities (or at those under construction) has been a significant fraction of the cost of the accelerator complex. Because of the complexity of large modern-day detectors, the time-scale for their design and construction is comparable to the time-scale needed for accelerator design and construction. For these reasons it is appropriate to estimate the cost of the anticipated detector complement in parallel with the cost estimates of the collider itself. The fundamental difficulty with this procedure is that, whereas a firm conceptual design of the collider does exist, comparable information is unavailable for the detectors. Traditionally, these have been built by the high energy physics user community according to their perception of the key scientific problems that need to be addressed. The role of the accelerator laboratory in that process has involved technical and managerial coordination and the allocation of running time and local facilities among the proposed experiments. It seems proper that the basic spirit of experimentation reflecting the scientific judgment of the community should be preserved at the SSC. Furthermore, the formal process of initiation of detector proposals can only start once the SSC has been approved as a construction project and a formal laboratory administration put in place. Thus an ad hoc mechanism had to be created to estimate the range of potential detector needs, potential detector costs, and associated computing equipment.

  7. Risk Estimation Methodology for Launch Accidents.

    SciTech Connect (OSTI)

    Clayton, Daniel James; Lipinski, Ronald J.; Bechtel, Ryan D.

    2014-02-01

    As compact and light weight power sources with reliable, long lives, Radioisotope Power Systems (RPSs) have made space missions to explore the solar system possible. Due to the hazardous material that can be released during a launch accident, the potential health risk of an accident must be quantified, so that appropriate launch approval decisions can be made. One part of the risk estimation involves modeling the response of the RPS to potential accident environments. Due to the complexity of modeling the full RPS response deterministically on dynamic variables, the evaluation is performed in a stochastic manner with a Monte Carlo simulation. The potential consequences can be determined by modeling the transport of the hazardous material in the environment and in human biological pathways. The consequence analysis results are summed and weighted by appropriate likelihood values to give a collection of probabilistic results for the estimation of the potential health risk. This information is used to guide RPS designs, spacecraft designs, mission architecture, or launch procedures to potentially reduce the risk, as well as to inform decision makers of the potential health risks resulting from the use of RPSs for space missions.

  8. Module: Estimating Historical Emissions from Deforestation |...

    Open Energy Info (EERE)

    Website: www.leafasia.orgtoolstechnical-guidance-series-estimating-historical Cost: Free Language: English Module: Estimating Historical Emissions from Deforestation Screenshot...

  9. Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report

    Weekly Natural Gas Storage Report (EIA)

    U.S. Energy Information Administration | Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report 1 February 2016 Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report The U.S. Energy Information Administration (EIA) collects and publishes natural gas storage information on a monthly and weekly basis. The Form EIA-191, Monthly Underground Natural Gas Storage Report, is a census survey that collects field-level

  10. Estimate Radiological Dose for Animals

    Energy Science and Technology Software Center (OSTI)

    1997-12-18

    Estimate Radiological dose for animals in ecological environment using open literature values for parameters such as body weight, plant and soil ingestion rate, rad. halflife, absorbed energy, biological halflife, gamma energy per decay, soil-to-plant transfer factor, ...etc

  11. Estimates of Green potentials. Applications

    SciTech Connect (OSTI)

    Danchenko, V I

    2003-02-28

    Optimal Cartan-type covers by hyperbolic discs of carriers of Green {alpha}-potentials are obtained in a simply connected domain in the complex plane and estimates of the potentials outside the carriers are presented. These results are applied to problems on the separation of singularities of analytic and harmonic functions. For instance, uniform and integral estimates in terms of Green capacities of components of meromorphic functions are obtained.

  12. SECPOP90: Sector population, land fraction, and economic estimation program

    SciTech Connect (OSTI)

    Humphreys, S.L.; Rollstin, J.A.; Ridgely, J.N.

    1997-09-01

    In 1973 Mr. W. Athey of the Environmental Protection Agency wrote a computer program called SECPOP which calculated population estimates. Since that time, two things have changed which suggested the need for updating the original program - more recent population censuses and the widespread use of personal computers (PCs). The revised computer program uses the 1990 and 1992 Population Census information and runs on current PCs as {open_quotes}SECPOP90.{close_quotes} SECPOP90 consists of two parts: site and regional. The site provides population and economic data estimates for any location within the continental United States. Siting analysis is relatively fast running. The regional portion assesses site availability for different siting policy decisions; i.e., the impact of available sites given specific population density criteria within the continental United States. Regional analysis is slow. This report compares the SECPOP90 population estimates and the nuclear power reactor licensee-provided information. Although the source, and therefore the accuracy, of the licensee information is unknown, this comparison suggests SECPOP90 makes reasonable estimates. Given the total uncertainty in any current calculation of severe accidents, including the potential offsite consequences, the uncertainty within SECPOP90 population estimates is expected to be insignificant. 12 refs., 55 figs., 7 tabs.

  13. Quantity | Open Energy Information

    Open Energy Info (EERE)

    Property:EstimatedTimeHigh Property:EstimatedTimeLow Property:EstimatedTimeMedian F Property:FirstWellDepth Property:FirstWellFlowRate G Property:GeneratingCapacity...

  14. Weldon Spring historical dose estimate

    SciTech Connect (OSTI)

    Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.

    1986-07-01

    This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.

  15. Comparison of Natural Gas Storage Estimates from the EIA and AGA

    Reports and Publications (EIA)

    1997-01-01

    The Energy Information Administration (EIA) has been publishing monthly storage information for years. In order to address the need for more timely information, in 1994 the American Gas Association (AGA) began publishing weekly storage levels. Both the EIA and the AGA series provide estimates of the total working gas in storage, but use significantly different methodologies.

  16. Information geometry of Gaussian channels

    SciTech Connect (OSTI)

    Monras, Alex; Illuminati, Fabrizio

    2010-06-15

    We define a local Riemannian metric tensor in the manifold of Gaussian channels and the distance that it induces. We adopt an information-geometric approach and define a metric derived from the Bures-Fisher metric for quantum states. The resulting metric inherits several desirable properties from the Bures-Fisher metric and is operationally motivated by distinguishability considerations: It serves as an upper bound to the attainable quantum Fisher information for the channel parameters using Gaussian states, under generic constraints on the physically available resources. Our approach naturally includes the use of entangled Gaussian probe states. We prove that the metric enjoys some desirable properties like stability and covariance. As a by-product, we also obtain some general results in Gaussian channel estimation that are the continuous-variable analogs of previously known results in finite dimensions. We prove that optimal probe states are always pure and bounded in the number of ancillary modes, even in the presence of constraints on the reduced state input in the channel. This has experimental and computational implications. It limits the complexity of optimal experimental setups for channel estimation and reduces the computational requirements for the evaluation of the metric: Indeed, we construct a converging algorithm for its computation. We provide explicit formulas for computing the multiparametric quantum Fisher information for dissipative channels probed with arbitrary Gaussian states and provide the optimal observables for the estimation of the channel parameters (e.g., bath couplings, squeezing, and temperature).

  17. Quick estimating for thermal conductivity

    SciTech Connect (OSTI)

    Sastri, S.R.S.; Rao, K.K. )

    1993-08-01

    Accurate values for thermal conductivity--an important engineering property used in heat transfer calculations of liquids--are not as readily available as those for other physical properties. Therefore, it often becomes necessary to use estimated data. A new estimating method combines ease of use with an accuracy that is generally better than existing procedures. The paper discusses how to select terms and testing correlations, then gives two examples of the use of the method for calculation of the thermal conductivity of propionic acid and chlorobenzene.

  18. Improving Estimation Accuracy of Aggregate Queries on Data Cubes

    SciTech Connect (OSTI)

    Pourabbas, Elaheh; Shoshani, Arie

    2008-08-15

    In this paper, we investigate the problem of estimation of a target database from summary databases derived from a base data cube. We show that such estimates can be derived by choosing a primary database which uses a proxy database to estimate the results. This technique is common in statistics, but an important issue we are addressing is the accuracy of these estimates. Specifically, given multiple primary and multiple proxy databases, that share the same summary measure, the problem is how to select the primary and proxy databases that will generate the most accurate target database estimation possible. We propose an algorithmic approach for determining the steps to select or compute the source databases from multiple summary databases, which makes use of the principles of information entropy. We show that the source databases with the largest number of cells in common provide the more accurate estimates. We prove that this is consistent with maximizing the entropy. We provide some experimental results on the accuracy of the target database estimation in order to verify our results.

  19. Photovoltaic Geographical Information System | Open Energy Information

    Open Energy Info (EERE)

    Information System Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Photovoltaic Geographical Information System Focus Area: Renewable Energy Topics: Opportunity...

  20. FUZZY SUPERNOVA TEMPLATES. II. PARAMETER ESTIMATION

    SciTech Connect (OSTI)

    Rodney, Steven A.; Tonry, John L. E-mail: jt@ifa.hawaii.ed

    2010-05-20

    Wide-field surveys will soon be discovering Type Ia supernovae (SNe) at rates of several thousand per year. Spectroscopic follow-up can only scratch the surface for such enormous samples, so these extensive data sets will only be useful to the extent that they can be characterized by the survey photometry alone. In a companion paper we introduced the Supernova Ontology with Fuzzy Templates (SOFT) method for analyzing SNe using direct comparison to template light curves, and demonstrated its application for photometric SN classification. In this work we extend the SOFT method to derive estimates of redshift and luminosity distance for Type Ia SNe, using light curves from the Sloan Digital Sky Survey (SDSS) and Supernova Legacy Survey (SNLS) as a validation set. Redshifts determined by SOFT using light curves alone are consistent with spectroscopic redshifts, showing an rms scatter in the residuals of rms{sub z} = 0.051. SOFT can also derive simultaneous redshift and distance estimates, yielding results that are consistent with the currently favored {Lambda}CDM cosmological model. When SOFT is given spectroscopic information for SN classification and redshift priors, the rms scatter in Hubble diagram residuals is 0.18 mag for the SDSS data and 0.28 mag for the SNLS objects. Without access to any spectroscopic information, and even without any redshift priors from host galaxy photometry, SOFT can still measure reliable redshifts and distances, with an increase in the Hubble residuals to 0.37 mag for the combined SDSS and SNLS data set. Using Monte Carlo simulations, we predict that SOFT will be able to improve constraints on time-variable dark energy models by a factor of 2-3 with each new generation of large-scale SN surveys.

  1. Mandatory Photovoltaic System Cost Estimate

    Broader source: Energy.gov [DOE]

    If the customer has a ratio of estimated monthly kilowatt-hour (kWh) usage to line extension mileage that is less than or equal to 1,000, the utility must provide the comparison at no cost. If the...

  2. BLE: Battery Life Estimator | Argonne National Laboratory

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

    BLE: Battery Life Estimator BLE: Battery Life Estimator Argonne's Battery Life Estimator (BLE) software is a state-of-the-art tool kit for fitting battery aging data and for ...

  3. Information Technology - DOE Directives, Delegations, and Requirements

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

    Information Technology

  4. U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    Fifteen accomplishments worth celebrating in 2015 Fifteen accomplishments worth celebrating in 2015 For the U.S. Energy Information Administration (EIA), 2015 was a year of notable accomplishments. Here, in no particular order, are 15 EIA highlights from 2015. State-level estimates of small scale solar PV capacity and generation With the release of December's Electric Power Monthly, EIA began reporting monthly estimates of small-scale distributed solar photovoltaic (PV) electricity generation

  5. New Methodology for Estimating Fuel Economy by Vehicle Class

    SciTech Connect (OSTI)

    Chin, Shih-Miao; Dabbs, Kathryn; Hwang, Ho-Ling

    2011-01-01

    Office of Highway Policy Information to develop a new methodology to generate annual estimates of average fuel efficiency and number of motor vehicles registered by vehicle class for Table VM-1 of the Highway Statistics annual publication. This paper describes the new methodology developed under this effort and compares the results of the existing manual method and the new systematic approach. The methodology developed under this study takes a two-step approach. First, the preliminary fuel efficiency rates are estimated based on vehicle stock models for different classes of vehicles. Then, a reconciliation model is used to adjust the initial fuel consumption rates from the vehicle stock models and match the VMT information for each vehicle class and the reported total fuel consumption. This reconciliation model utilizes a systematic approach that produces documentable and reproducible results. The basic framework utilizes a mathematical programming formulation to minimize the deviations between the fuel economy estimates published in the previous year s Highway Statistics and the results from the vehicle stock models, subject to the constraint that fuel consumptions for different vehicle classes must sum to the total fuel consumption estimate published in Table MF-21 of the current year Highway Statistics. The results generated from this new approach provide a smoother time series for the fuel economies by vehicle class. It also utilizes the most up-to-date and best available data with sound econometric models to generate MPG estimates by vehicle class.

  6. Estimates and Recommendations for Coincidence Geometry (Technical...

    Office of Scientific and Technical Information (OSTI)

    Estimates and Recommendations for Coincidence Geometry Citation Details In-Document Search Title: Estimates and Recommendations for Coincidence Geometry You are accessing a...

  7. Estimating Waste Inventory and Waste Tank Characterization |...

    Office of Environmental Management (EM)

    Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue ...

  8. ARM - People Contact Information

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

    ARM People Database Reports Email List Owner Information (password required) Email List Membership Information (password required) CategoryProgram List Membership Information ...

  9. Notices SUPPLEMENTARY INFORMATION: Section

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

    The Director, Information Collection Clearance Division, Privacy, Information and Records ... Dated: September 14, 2012. Darrin A. King, Director, Information Collection Clearance ...

  10. Background estimation in experimental spectra

    SciTech Connect (OSTI)

    Fischer, R.; Hanson, K. M.; Los Alamos National Laboratory, MS P940, Los Alamos, New Mexico 87545 ; Dose, V.; Linden, W. von der

    2000-02-01

    A general probabilistic technique for estimating background contributions to measured spectra is presented. A Bayesian model is used to capture the defining characteristics of the problem, namely, that the background is smoother than the signal. The signal is allowed to have positive and/or negative components. The background is represented in terms of a cubic spline basis. A variable degree of smoothness of the background is attained by allowing the number of knots and the knot positions to be adaptively chosen on the basis of the data. The fully Bayesian approach taken provides a natural way to handle knot adaptivity and allows uncertainties in the background to be estimated. Our technique is demonstrated on a particle induced x-ray emission spectrum from a geological sample and an Auger spectrum from iron, which contains signals with both positive and negative components. (c) 2000 The American Physical Society.

  11. Verification of unfold error estimates in the unfold operator code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1997-01-01

    Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

  12. WIPP Recovery Information

    Broader source: Energy.gov [DOE]

    At the March 26, 2014 Board meeting J. R. Stroble CBFO, Provided Information on Locations to Access WIPP Recovery Information.

  13. Special Undergraduate Informations

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

    Special Undergraduate Information Special Undergraduate Information for SAGE A National Science Foundation Research Experiences for Undergraduates program Contacts Institute...

  14. ARM - Public Information Materials

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

    govPublicationsPublic Information Materials Publications Journal Articles Conference Documents Program Documents Technical Reports Publications Database Public Information...

  15. Contractor Past Performance Information

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

    management controls and the compliance assessments of contractor performance information. Section IV has best practices to address contractor performance information....

  16. Estimation of Nuclear Reaction Effects in Proton-Tissue-Dose Calculations.

    Energy Science and Technology Software Center (OSTI)

    1983-01-14

    Version 00 REPC reviews calculational methods for the estimation of dose from external proton exposure of arbitrary convex bodies and presents the necessary information for the estimation of dose in soft tissue. The effects of nuclear reactions, especially in relation to the dose equivalent, are retained. REPC subroutines can be used to convert existing computer programs which neglect nuclear reaction effects to include them.

  17. Guidelines for Estimating Unmetered Landscapting Water Use

    SciTech Connect (OSTI)

    None

    2010-07-30

    Guidance to help Federal agencies estimate unmetered landscaping water use as required by Executive Order 13514

  18. A Testbed for Deploying Distributed State Estimation in Power Grid

    SciTech Connect (OSTI)

    Jin, Shuangshuang; Chen, Yousu; Rice, Mark J.; Liu, Yan; Gorton, Ian

    2012-07-22

    Abstract—With the increasing demand, scale and data information of power systems, fast distributed applications are becoming more important in power system operation and control. This paper proposes a testbed for evaluating power system distributed applications, considering data exchange among distributed areas. A high-performance computing (HPC) version of distributed state estimation is implemented and used as a distributed application example. The IEEE 118-bus system is used to deploy the parallel distributed state estimation, and the MeDICi middleware is used for data communication. The performance of the testbed demonstrates its capability to evaluate parallel distributed state estimation by leveraging the HPC paradigm. This testbed can also be applied to evaluate other distributed applications.

  19. Estimating Externalities of Coal Fuel Cycles, Report 3

    SciTech Connect (OSTI)

    Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

    1994-09-01

    The agreement between the US DOE and the EC established the specific objectives of the study: (a) to develop a methodological framework that uses existing data and models to quantify the external costs and benefits of energy; (b) to demonstrate the application of the framework to estimate the externalities of the coal, biomass, oil, natural gas, hydro, nuclear, photovoltaic, and wind fuel cycles (by agreement with the EC, the US addressed the first six of these); and (c) to identify major gaps in the availability of information to quantify impacts, damages, benefits, and externalities of fuel cycles; and to suggest priorities for future research. The main consideration in defining these objectives was a desire to have more information about externalities, and a better method for estimating them.

  20. Montana Geographic Information Library | Open Energy Information

    Open Energy Info (EERE)

    Montana Geographic Information Library Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: Montana Geographic Information LibraryInfo GraphicMapChart Abstract...

  1. Estimating Terrorist Risk with Possibility Theory

    SciTech Connect (OSTI)

    J.L. Darby

    2004-11-30

    This report summarizes techniques that use possibility theory to estimate the risk of terrorist acts. These techniques were developed under the sponsorship of the Department of Homeland Security (DHS) as part of the National Infrastructure Simulation Analysis Center (NISAC) project. The techniques have been used to estimate the risk of various terrorist scenarios to support NISAC analyses during 2004. The techniques are based on the Logic Evolved Decision (LED) methodology developed over the past few years by Terry Bott and Steve Eisenhawer at LANL. [LED] The LED methodology involves the use of fuzzy sets, possibility theory, and approximate reasoning. LED captures the uncertainty due to vagueness and imprecision that is inherent in the fidelity of the information available for terrorist acts; probability theory cannot capture these uncertainties. This report does not address the philosophy supporting the development of nonprobabilistic approaches, and it does not discuss possibility theory in detail. The references provide a detailed discussion of these subjects. [Shafer] [Klir and Yuan] [Dubois and Prade] Suffice to say that these approaches were developed to address types of uncertainty that cannot be addressed by a probability measure. An earlier report discussed in detail the problems with using a probability measure to evaluate terrorist risk. [Darby Methodology]. Two related techniques are discussed in this report: (1) a numerical technique, and (2) a linguistic technique. The numerical technique uses traditional possibility theory applied to crisp sets, while the linguistic technique applies possibility theory to fuzzy sets. Both of these techniques as applied to terrorist risk for NISAC applications are implemented in software called PossibleRisk. The techniques implemented in PossibleRisk were developed specifically for use in estimating terrorist risk for the NISAC program. The LEDTools code can be used to perform the same linguistic evaluation as

  2. Press Room - Press Releases - U.S. Energy Information Administration...

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

    EIA now provides monthly state-level estimates of small-scale solar PV capacity and generation With the release of today's Electric Power Monthly (EPM), the U.S. Energy Information ...

  3. Appendix E Supporting Information for Ground Water Modeling

    Office of Legacy Management (LM)

    Supporting Information for Ground Water Modeling This page intentionally left blank Contents Section Geologic Map of Site Area ........................................................................................................ E1.O Stream Flow Measurements ...................................................................................................... E2.0 Estimates of Ground Water Flow .............................................................................................. E3.0

  4. U.S. Energy Information Administration | Green Pricing and Net...

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

    U.S. Energy Information Administration | Green Pricing and Net Metering Programs 2009 Green Pricing and Net Metering Programs 2009 Table 5.1 Estimated U.S. Green Pricing Customers ...

  5. Supporting document for the SW Quadrant Historical Tank Content Estimate for U-Tank Farm

    SciTech Connect (OSTI)

    Brevick, C.H.; Gaddis, L.A.; Johnson, E.D.

    1994-06-01

    This Supporting Document provides historical characterization information gathered on U-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature data, sampling data, and drywell and liquid observation well data for Historical Tank Content Estimate of the SW Quadrant at the Hanford 200 West Area.

  6. Supporting document for the historical tank content estimate for AN-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.; Stroup, J.L.; Funk, J.W., Fluor Daniel Hanford

    1997-03-06

    This Supporting Document provides historical in-depth characterization information on AN-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the Southeast Quadrant of the Hanford 200 Areas.

  7. Supporting document for the historical tank content estimate for C-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.

    1996-06-28

    This Supporting Document provides historical in-depth characterization information on C-Tank Farm, such as historical waste transfer and level data, tank physical information,temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the northeast quadrant of the Hanford 200 East Area.

  8. Supporting document for the historical tank content estimate for BY-Tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.

    1996-06-28

    This Supporting Document provides historical in-depth characterization information on BY-Tank Farm, such as historical waste transfer and level data, tank physical information,temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the northeast quadrant of the Hanford 200 East Area.

  9. Supporting document for the historical tank content estimate for AP-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.; Stroup, J.L.; Funk, J.W., Fluor Daniel Hanford

    1997-03-06

    This Supporting Document provides historical in-depth characterization information on AP-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the Southeast Quadrant of the Hanford 200 Areas.

  10. Supporting document for the historical tank content estimate for AW-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H., Stroup, J.L.; Funk, J.W., Fluor Daniel Hanford

    1997-03-06

    This Supporting Document provides historical in-depth characterization information on AW-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the Southeast Quadrant of the Hanford 200 Areas.

  11. Supporting document for the historical tank content estimate for A-Tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.

    1996-06-28

    This Supporting Document provides historical in-depth characterization information on A-Tank Farm, such as historical waste transfer and level data, tank physical information,temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the northeast quadrant of the Hanford 200 East Area.

  12. Supporting document for the historical tank content estimate for BX-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.

    1996-06-28

    This Supporting Document provides historical in-depth characterization information on BX-Tank Farm, such as historical waste transfer and level data, tank physical information,temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the northeast quadrant of the Hanford 200 East Area.

  13. Supporting document for the historical tank content estimate for AY-tank farm

    SciTech Connect (OSTI)

    Brevick, C H; Stroup, J L; Funk, J. W.

    1997-03-12

    This Supporting Document provides historical in-depth characterization information on AY-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the Southeast Quadrant of the Hanford 200 Areas.

  14. Supporting document for the historical tank content estimate for the S-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H., Fluor Daniel Hanford

    1997-02-25

    This Supporting Document provides historical in-depth characterization information on S-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the Southwest Quadrant of the Hanford 200 West Area.

  15. Supporting document for the historical tank content estimate for B-Tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.

    1996-06-28

    This Supporting Document provides historical in-depth characterization information on B-Tank Farm, such as historical waste transfer and level data, tank physical information,temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the northeast quadrant of the Hanford 200 East Area.

  16. Supporting document for the historical tank content estimate for AX-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H., Westinghouse Hanford

    1996-06-28

    This Supporting Document provides historical in-depth characterization information on AX-Tank Farm, such as historical waste transfer and level data, tank physical information,temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the northeast quadrant of the Hanford 200 East Area.

  17. Supporting document for the historical tank content estimate for the SX-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H., Fluor Daniel Hanford

    1997-02-25

    This Supporting Document provides historical in-depth characterization information on SX-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature plots, liquid observation well plots, chemical analyte and radionuclide inventories for the Historical Tank Content Estimate Report for the Southwest Quadrant of the Hanford 200 West Area.

  18. 2007 Estimated International Energy Flows

    SciTech Connect (OSTI)

    Smith, C A; Belles, R D; Simon, A J

    2011-03-10

    An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

  19. Bayesian estimation methods in metrology

    SciTech Connect (OSTI)

    Cox, M.G.; Forbes, A.B.; Harris, P.M.

    2004-11-16

    In metrology -- the science of measurement -- a measurement result must be accompanied by a statement of its associated uncertainty. The degree of validity of a measurement result is determined by the validity of the uncertainty statement. In recognition of the importance of uncertainty evaluation, the International Standardization Organization in 1995 published the Guide to the Expression of Uncertainty in Measurement and the Guide has been widely adopted. The validity of uncertainty statements is tested in interlaboratory comparisons in which an artefact is measured by a number of laboratories and their measurement results compared. Since the introduction of the Mutual Recognition Arrangement, key comparisons are being undertaken to determine the degree of equivalence of laboratories for particular measurement tasks. In this paper, we discuss the possible development of the Guide to reflect Bayesian approaches and the evaluation of key comparison data using Bayesian estimation methods.

  20. Information Technology | Jefferson Lab

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

    Information Technology The Information Technology Division uses cutting-edge technology to provide high-quality services and capabilities that enable the lab to pursue its research mission in support of the nation's scientific agenda. Leading the division is the chief information officer. The CIO is responsible for providing information from the labs information technology systems to Jefferson Lab management, the overall IT vision, the information architecture for computing and IT, and oversight

  1. Energy information sheets

    SciTech Connect (OSTI)

    1995-07-01

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the public. The Energy Information Sheets was developed to provide general information on various aspects of fuel production, prices, consumption, and capability. Additional information on related subject matter can be found in other Energy Information Administration (EIA) publications as referenced at the end of each sheet.

  2. Best-Estimate Analysis PWR LOCA.

    Energy Science and Technology Software Center (OSTI)

    2005-11-11

    Version: 00 TRAC‑PF1 performs best estimate analyses of loss of coolant accidents and other transients in pressurized light water reactors. The program can also be used to model a wide range of thermal hydraulic experiments in reduced scale facilities. Models employed include reflood, multi‑dimensional two‑phase flow, nonequilibrium thermodynamics, generalized heat transfer, and reactor kinetics. Automatic steady‑state and dump/restart capabilities are provided. The changes reported in TRACNEWS issues through Number 7 are incorporated in this release.more » TRAC-PF1 was developed on a CDC computer at Los Alamos National Laboratory. The PC version of TRAC‑PF1 was converted at CNEN in 1989 and has not been updated since that time. The NRC no longer supports the TRAC codes. They currently develop and maintain the TRACE code system, which is the TRAC/RELAP Advanced Computational Engine. TRACE is a modernized thermal-hydraulics code designed to consolidate the capabilities of NRC's 3 legacy safety codes - TRAC-P, TRAC-B and RELAP. This is NRC's flagship thermal-hydraulics analysis tool. See the website for more information http://www.nrccodes.com/.« less

  3. State Energy Price and Expenditure Estimates

    Reports and Publications (EIA)

    2016-01-01

    Energy price and expenditure estimates in dollars per million Btu and in million dollars, by state, 1970-2014.

  4. Cost Model and Cost Estimating Software

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

  5. Information Technology Specialist (Security)

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as an Information Technology Specialist (Security) responsible for providing technical support in the information security environment which...

  6. Biofuels Information Center

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

    Biofuels Information Center BETO 2015 Peer Review Kristi Moriarty March 24, 2015 2 Goal Statement * The purpose of the Biofuels Information Center (BIC) task is to increase ...

  7. Utilities | Open Energy Information

    Open Energy Info (EERE)

    historic, in human and machine readable formats. See also the NREL System Advisor Model (SAM) and NREL's BEOpt. Utility Outage Information dataset - Information and resources...

  8. Information Technology Specialist

    Broader source: Energy.gov [DOE]

    (See Frequently Asked Questions for more information). Where would I be working? Western Area Power Administration, Corporate Services Office, Office of the Chief Information Officer, Operations...

  9. Takigami | Open Energy Information

    Open Energy Info (EERE)

    ENERGYGeothermal Home Takigami General Information Name Takigami Sector Geothermal energy Location Information Address 2862-12 Kokonoe, Kusu District, Oita Prefecture 879-4802...

  10. New Methodology for Natural Gas Production Estimates

    Reports and Publications (EIA)

    2010-01-01

    A new methodology is implemented with the monthly natural gas production estimates from the EIA-914 survey this month. The estimates, to be released April 29, 2010, include revisions for all of 2009. The fundamental changes in the new process include the timeliness of the historical data used for estimation and the frequency of sample updates, both of which are improved.

  11. Estimating externalities of biomass fuel cycles, Report 7

    SciTech Connect (OSTI)

    Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

    1998-01-01

    This report documents the analysis of the biomass fuel cycle, in which biomass is combusted to produce electricity. The major objectives of this study were: (1) to implement the methodological concepts which were developed in the Background Document (ORNL/RFF 1992) as a means of estimating the external costs and benefits of fuel cycles, and by so doing, to demonstrate their application to the biomass fuel cycle; (2) to develop, given the time and resources, a range of estimates of marginal (i.e., the additional or incremental) damages and benefits associated with selected impact-pathways from a new wood-fired power plant, using a representative benchmark technology, at two reference sites in the US; and (3) to assess the state of the information available to support energy decision making and the estimation of externalities, and by so doing, to assist in identifying gaps in knowledge and in setting future research agendas. The demonstration of methods, modeling procedures, and use of scientific information was the most important objective of this study. It provides an illustrative example for those who will, in the future, undertake studies of actual energy options and sites. As in most studies, a more comprehensive analysis could have been completed had budget constraints not been as severe. Particularly affected were the air and water transport modeling, estimation of ecological impacts, and economic valuation. However, the most important objective of the study was to demonstrate methods, as a detailed example for future studies. Thus, having severe budget constraints was appropriate from the standpoint that these studies could also face similar constraints. Consequently, an important result of this study is an indication of what can be done in such studies, rather than the specific numerical estimates themselves.

  12. Types of Possible Survey Errors in Estimates Published in the Weekly

    Weekly Natural Gas Storage Report (EIA)

    Natural Gas Storage Report Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report Release date: March 1, 2016 The U.S. Energy Information Administration (EIA) collects and publishes natural gas storage information on a monthly and weekly basis. The Form EIA-191, Monthly Underground Natural Gas Storage Report, is a census survey that collects field-level information from all underground natural gas storage operators in the United States known to EIA.

  13. Nevada Transmission Siting Information | Open Energy Information

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: Nevada Transmission Siting InformationPermittingRegulatory GuidanceGuide...

  14. Alaska - CPCN General Information | Open Energy Information

    Open Energy Info (EERE)

    CPCN General Information Jump to: navigation, search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - Instructions: Alaska - CPCN General...

  15. Geographic Information System | Open Energy Information

    Open Energy Info (EERE)

    Exploration, Tracers Data Analysis, And Enhanced Data Distribution, Visualization, And Management Geographic Information System At Brady Hot Springs Area (Laney, 2005) Brady Hot...

  16. AUDIT REPORT The Energy Information Administration's Information...

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

    range of data collection, analysis, forecasting, and dissemination of energy information. ... of EIA's IT costs had not been reported to the Office of Management and Budget (OMB). ...

  17. Uncertainty Estimation Improves Energy Measurement and Verification Procedures

    SciTech Connect (OSTI)

    Walter, Travis; Price, Phillip N.; Sohn, Michael D.

    2014-05-14

    Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

  18. The Federal Highway Administration Gasohol Consumption Estimation Model

    SciTech Connect (OSTI)

    Hwang, HL

    2003-08-28

    The Federal Highway Administration (FHWA) is responsible for estimating the portion of Federal highway funds attributable to each State. The process involves use of State-reported data (gallons) and a set of estimation models when accurate State data is unavailable. To ensure that the distribution of funds is equitable, FHWA periodically reviews the estimation models. Estimation of the use of gasohol is difficult because of State differences in the definition of gasohol, inability of many States to separate and report gasohol usage from other fuel types, changes in fuel composition in nonattainment areas to address concerns over the use of certain fuel additives, and the lack of a valid State-level surrogate data set for gasohol use. Under the sponsorship of FHWA, Oak Ridge National Laboratory (ORNL) reviewed the regression-based gasohol estimation model that has been in use for several years. Based on an analytical assessment of that model and an extensive review of potential data sets, ORNL developed an improved rule-based model. The new model uses data from Internal Revenue Service, Energy Information Administration, Environmental Protection Agency, Department of Energy, ORNL, and FHWA sources. The model basically consists of three parts: (1) development of a controlled total of national gasohol usage, (2) determination of reliable State gasohol consumption data, and (3) estimation of gasohol usage for all other States. The new model will be employed for the 2004 attribution process. FHWA is currently soliciting comments and inputs from interested parties. Relevant data, as identified, will be pursued and refinements will be made by the research team if warranted.

  19. Urbemis | Open Energy Information

    Open Energy Info (EERE)

    emissions model (EMFAC) for transportation calculations. Area source outputs include natural gas use, landscaping equipment, and fireplaces. It also estimates construction...

  20. Aquaculture information package

    SciTech Connect (OSTI)

    Boyd, T.; Rafferty, K.

    1998-08-01

    This package of information is intended to provide background information to developers of geothermal aquaculture projects. The material is divided into eight sections and includes information on market and price information for typical species, aquaculture water quality issues, typical species culture information, pond heat loss calculations, an aquaculture glossary, regional and university aquaculture offices and state aquaculture permit requirements. A bibliography containing 68 references is also included.

  1. WIPP - Joint Information Center

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

    The Joint Information Center is located at 4021 National Parks Highway in Carlsbad, N.M. Joint Information Center In the unlikely event of an emergency, the WIPP Joint Information Center (JIC) serves as a central control point to coordinate multi-agency efforts to issue timely and accurate information to the public, news media and project employees. Emergency contact information: The public If the JIC is activated, members of the general public, including family members, may call (575) 234-7380

  2. Budget estimates. Fiscal year 1998

    SciTech Connect (OSTI)

    1997-02-01

    The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.

  3. Reliability Estimates for Power Supplies

    SciTech Connect (OSTI)

    Lee C. Cadwallader; Peter I. Petersen

    2005-09-01

    Failure rates for large power supplies at a fusion facility are critical knowledge needed to estimate availability of the facility or to set priorties for repairs and spare components. A study of the "failure to operate on demand" and "failure to continue to operate" failure rates has been performed for the large power supplies at DIII-D, which provide power to the magnet coils, the neutral beam injectors, the electron cyclotron heating systems, and the fast wave systems. When one of the power supplies fails to operate, the research program has to be either temporarily changed or halted. If one of the power supplies for the toroidal or ohmic heating coils fails, the operations have to be suspended or the research is continued at de-rated parameters until a repair is completed. If one of the power supplies used in the auxiliary plasma heating systems fails the research is often temporarily changed until a repair is completed. The power supplies are operated remotely and repairs are only performed when the power supplies are off line, so that failure of a power supply does not cause any risk to personnel. The DIII-D Trouble Report database was used to determine the number of power supply faults (over 1,700 reports), and tokamak annual operations data supplied the number of shots, operating times, and power supply usage for the DIII-D operating campaigns between mid-1987 and 2004. Where possible, these power supply failure rates from DIII-D will be compared to similar work that has been performed for the Joint European Torus equipment. These independent data sets support validation of the fusion-specific failure rate values.

  4. Anisotropic parameter estimation using velocity variation with offset analysis

    SciTech Connect (OSTI)

    Herawati, I.; Saladin, M.; Pranowo, W.; Winardhie, S.; Priyono, A.

    2013-09-09

    Seismic anisotropy is defined as velocity dependent upon angle or offset. Knowledge about anisotropy effect on seismic data is important in amplitude analysis, stacking process and time to depth conversion. Due to this anisotropic effect, reflector can not be flattened using single velocity based on hyperbolic moveout equation. Therefore, after normal moveout correction, there will still be residual moveout that relates to velocity information. This research aims to obtain anisotropic parameters, ? and ?, using two proposed methods. The first method is called velocity variation with offset (VVO) which is based on simplification of weak anisotropy equation. In VVO method, velocity at each offset is calculated and plotted to obtain vertical velocity and parameter ?. The second method is inversion method using linear approach where vertical velocity, ?, and ? is estimated simultaneously. Both methods are tested on synthetic models using ray-tracing forward modelling. Results show that ? value can be estimated appropriately using both methods. Meanwhile, inversion based method give better estimation for obtaining ? value. This study shows that estimation on anisotropic parameters rely on the accuracy of normal moveout velocity, residual moveout and offset to angle transformation.

  5. Category:Geographic Information System | Open Energy Information

    Open Energy Info (EERE)

    Geographic Information System Jump to: navigation, search Geothermalpower.jpg Looking for the Geographic Information System page? For detailed information on Geographic Information...

  6. Energy information sheets

    SciTech Connect (OSTI)

    Not Available

    1993-12-02

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. Written for the general public, the EIA publication Energy Information Sheets was developed to provide information on various aspects of fuel production, prices, consumption and capability. The information contained herein pertains to energy data as of December 1991. Additional information on related subject matter can be found in other EIA publications as referenced at the end of each sheet.

  7. Notes on a New Coherence Estimator

    SciTech Connect (OSTI)

    Bickel, Douglas L.

    2016-01-01

    This document discusses some interesting features of the new coherence estimator in [1] . The estimator is d erived from a slightly different viewpoint. We discuss a few properties of the estimator, including presenting the probability density function of the denominator of the new estimator , which is a new feature of this estimator . Finally, we present an appr oximate equation for analysis of the sensitivity of the estimator to the knowledge of the noise value. ACKNOWLEDGEMENTS The preparation of this report is the result of an unfunded research and development activity. Sandia National Laboratories is a multi - program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE - AC04 - 94AL85000.

  8. Supervisory Information Technology Specialist (Information Security)

    Broader source: Energy.gov [DOE]

    The Office of the Chief Information Officer is seeking a motivated and highly-qualified candidate to serve as the Director of the Cybersecurity Operations Office and oversee development and...

  9. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  10. U.S. Uranium Reserves Estimates

    Gasoline and Diesel Fuel Update (EIA)

    Methodology The U.S. uranium ore reserves reported by EIA for specific MFC categories represent the sums of quantities estimated to occur in known deposits on properties where data about the ore grade, configuration, and depth indicate that the quantities estimated could be recovered at or less than the stated costs given current mining and milling technology and regulations. The reserves estimates for year-end (delete: December 31, 2008), are based on historical data for uranium properties

  11. ORISE: Radiation Dose Estimates and Other Compendia

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

    rapidly estimate internal and external radiation dose magnitudes that can be used to help ... (PDF) Health Concerns Related to Radiation Exposure of the Female Nuclear Medicine ...

  12. Structure Learning and Statistical Estimation in Distribution...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Structure Learning and Statistical Estimation ... Part I of this paper discusses the problem of learning the operational structure of the ...

  13. Guidelines for Estimating Unmetered Industrial Water Use

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

    Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of ... PNNL would like to thank the Federal Water Working Group of the Interagency Energy ...

  14. An Estimator of Propagation of Cascading Failure

    SciTech Connect (OSTI)

    Dobson, Ian; Wierzbicki, Kevin; Carreras, Benjamin A; Lynch, Vickie E; Newman, David E

    2006-01-01

    The authors suggest a statistical estimator to measure the extent to which failures propagate in cascading failures such as large blackouts.

  15. SOURCE SELECTION INFORMATION -

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

    SOURCE SELECTION INFORMATION - SEE FEDERAL ACQUISITION REGULATION (FAR) 2.101 AND 3.104 ... SOURCE SELECTION INFORMATION - SEE FEDERAL ACQUISITION REGULATION (FAR) 2.101 AND 3.104 ...

  16. Office of Information Resources

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

    Freedom of Information and Privacy Act Database Bureau: DOE-ID Project Unique ID: Date: May 8,2008 A. CONTACT INFORMATION 1. Who is the person completing this document? Nicole ...

  17. SOURCE SELECTION INFORMATION -

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

    an action described in Section 311 of P.L. 112-74 in excess of 1,000,000. This information is source selection information related to the conduct of a Federal agency...

  18. Office of Information Management

    Broader source: Energy.gov [DOE]

    The Office of Information Management provides a broad range of information technology services in support of the Associate Under Secretary for the Office of Environment, Health, Safety and Security (AU).

  19. Physics Informed Machine Learning

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

    Physics Informed Machine Learning Physics Informed Machine Learning WHEN: Jan 19, 2016 8:00 AM - Jan 22, 2016 4:00 PM WHERE: Inn at Loretto, Santa Fe CATEGORY: Science TYPE:...

  20. Information Technology Management

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2008-12-23

    The Order identifies the objectives, components, and responsibilities for implementing processes to ensure the effective management of information and information systems within the Department. Supersedes DOE O 200.1.

  1. Confidential Business Information

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

    Confidential Business Information Pursuant to 10 CFR 1004.11, any person submitting information that he or she believes to be confidential and exempt by law from public disclosure ...

  2. Method for estimating power outages and restoration during natural and man-made events

    DOE Patents [OSTI]

    Omitaomu, Olufemi A.; Fernandez, Steven J.

    2016-01-05

    A method of modeling electric supply and demand with a data processor in combination with a recordable medium, and for estimating spatial distribution of electric power outages and affected populations. A geographic area is divided into cells to form a matrix. Within the matrix, supply cells are identified as containing electric substations and demand cells are identified as including electricity customers. Demand cells of the matrix are associated with the supply cells as a function of the capacity of each of the supply cells and the proximity and/or electricity demand of each of the demand cells. The method includes estimating a power outage by applying disaster event prediction information to the matrix, and estimating power restoration using the supply and demand cell information of the matrix and standardized and historical restoration information.

  3. Confidential Business Information

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

    Confidential Business Information Pursuant to 10 CFR 1004.11, any person submitting information that he or she believes to be confidential and exempt by law from public disclosure should submit via email, postal mail, or hand delivery/courier two well-marked copies: One copy of the document marked ''confidential'' including all the information believed to be confidential, and one copy of the document marked ''non-confidential'' with the information believed to be confidential deleted. Submit

  4. Contractor Past Performance Information

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

    2013) 3 the use of contractor performance information, outlines associated management responsibilities that agency Chief Acquisition Officers (CAOs) and Senior...

  5. Departmental information architecture

    SciTech Connect (OSTI)

    Tiemann, M.

    1997-11-01

    This report contains viewgraphs on the models, principles, publications, future directions, and DOE IA guidance highlights of information architecture software.

  6. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-02-01

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)] or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination. Cancels DOE O 475.2 and DOE M 475.1-1B.

  7. Information Security Program

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1992-10-19

    To establish the Department of Energy (DOE) Information Security Program and set forth policies, procedures and responsibilities for the protection and control of classified and sensitive information. The Information Security Program is a system of elements which serve to deter collection activities, This directive does not cancel another directive. Canceled by DOE O 471.2 of 9-28-1995.

  8. Information Security Program

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-27

    Establishes an Information Security Program for the protection and control of classified and sensitive information. Extended until 5-11-06 by DOE N 251.63, dated 5-11-05. DOE O 471.2A, Information Security Program, dated 3/27/1997, extended by DOE N 251.57, dated 4/28/2004. Cancels: DOE O 471.2

  9. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-06-03

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)]or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination.

  10. Energy information directory 1995

    SciTech Connect (OSTI)

    1995-10-01

    The National Energy Information Center provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. This Energy Information Directory is used to assist the Center staff as well as other DOE staff in directing inquires to the proper offices.

  11. Security classification of information

    SciTech Connect (OSTI)

    Quist, A.S.

    1993-04-01

    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  12. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-10-03

    To establish the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)] or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination. Supersedes DOE O 475.2A.

  13. Cost Estimating Handbook for Environmental Restoration

    SciTech Connect (OSTI)

    1990-09-01

    Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

  14. Information flow in the DAMA Project beyond database managers: Information flow managers

    SciTech Connect (OSTI)

    Russell, L.; Wolfson, O.; Yu, C.

    1996-03-01

    To meet the demands of commercial data traffic on the information highway, a new look at managing data is necessary. One projected activity, sharing of point-of-sale information, is being considered in the Demand Activated Manufacturing Project of the American Textile Partnership project. A scenario is examined in which 100,000 retail outlets communicate over a period of days. They provide the latest estimate of demand for sewn products across a chain of 26,000 suppliers through the use of bill-of-materials explosions at four levels of detail. A new paradign the information flow manager, is developed to handle this situation, including the case where members of the supply chain fail to communicate and go out of business. Techniques for approximation are introduced to keep estimates of demand as current as possible.

  15. Appendix D: Statistical Methodology of Estimating Petroleum Exports Using Data from U.S. Customs and Border Protection

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

    Statistical Methodology of Estimating Petroleum Exports Using Data from U.S. Customs and Border Protection August 31, 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Statistical Methodology of Estimating Petroleum Exports Using Data from U.S. Customs and Border Protection This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S.

  16. Guidance on Utility Rate Estimations and Weather Normalization...

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

    Utility Rate Estimations and Weather Normalization in an ESPC Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Document explains how to use estimated ...

  17. Cost and Schedule Estimate and Analysis (FPM 207), Amarillo ...

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

    Course topics include: identifying cost and schedule estimates; Basic estimating methods; Group analysis techniques; Applying life-cycle costing technique; Validating estimates; ...

  18. New York Dry Natural Gas Reserves Estimated Production (Billion...

    Gasoline and Diesel Fuel Update (EIA)

    Estimated Production (Billion Cubic Feet) New York Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production New York Dry Natural Gas Proved Reserves Dry ...

  19. New Mexico Dry Natural Gas Reserves Estimated Production (Billion...

    Gasoline and Diesel Fuel Update (EIA)

    Estimated Production (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production New Mexico Dry Natural Gas Proved Reserves ...

  20. Request for Retirement Annuity Estimates | Department of Energy

    Office of Environmental Management (EM)

    Request for Retirement Annuity Estimates Request for Retirement Annuity Estimates Upon request, Office of the Chief Human Capital Officer provides retirement estimates for ...

  1. West Virginia Dry Natural Gas Reserves Estimated Production ...

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

    Estimated Production (Billion Cubic Feet) West Virginia Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production West Virginia Dry Natural Gas Proved ...

  2. Virginia Dry Natural Gas Reserves Estimated Production (Billion...

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

    Estimated Production (Billion Cubic Feet) Virginia Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production Virginia Dry Natural Gas Proved Reserves Dry ...

  3. North Dakota Dry Natural Gas Reserves Estimated Production (Billion...

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

    Estimated Production (Billion Cubic Feet) North Dakota Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production North Dakota Dry Natural Gas Proved Reserves ...

  4. Power, Optimization, Waste Estimating, Resourcing Tool

    Energy Science and Technology Software Center (OSTI)

    2009-08-13

    Planning, Optimization, Waste Estimating, Resourcing tool (POWERtool) is a comprehensive relational database software tool that can be used to develop and organize a detailed project scope, plan work tasks, develop bottoms-up field cost and waste estimates for facility Deactivation and Decommissioning (D&D), equipment, and environmental restoration (ER) projects and produces resource-loaded schedules.

  5. Mode Initialization for On-line Estimation of Power System Electromechanical Modes

    SciTech Connect (OSTI)

    Zhou, Ning; Trudnowski, Daniel; Pierre, John W.

    2009-03-18

    Measurement-based mode estimation methods are utilized to estimate electromechanical modes of a power system using phasor measurement units (PMU) data. These methods need to extract a certain amount of information before they can give useable mode estimation. Traditionally, the information is gathered solely from measurement data. Priori mode information from other resources (e.g. model eigenvalue analysis, engineering knowledge) are not fully utilized. For real time application, this means that mode estimation takes time to converge. By adding a mode regularization term in the objective function, this paper proposes a mode initialization method to include priori mode information in a regularized robust recursive least squares (R3LS) algorithm for on-line mode estimation. The proposed method is tested using a simple model, a 17 machine model and is shown to be able to shorten the convergence period of the R3LS algorithm. The proposed method is also applied on the measurement data recorded right before a major power outage in the western North American Grid on August 10th 1996 to show its potential applica-tion in detecting an approaching small signal stability problem.

  6. Automatic Estimation of the Radiological Inventory for the Dismantling of Nuclear Facilities

    SciTech Connect (OSTI)

    Garcia-Bermejo, R.; Felipe, A.; Gutierrez, S.; Salas, E.; Martin, N.

    2008-01-15

    The estimation of the radiological inventory of Nuclear Facilities to be dismantled is a process that included information related with the physical inventory of all the plant and radiological survey. Estimation of the radiological inventory for all the components and civil structure of the plant could be obtained with mathematical models with statistical approach. A computer application has been developed in order to obtain the radiological inventory in an automatic way. Results: A computer application that is able to estimate the radiological inventory from the radiological measurements or the characterization program has been developed. In this computer applications has been included the statistical functions needed for the estimation of the central tendency and variability, e.g. mean, median, variance, confidence intervals, variance coefficients, etc. This computer application is a necessary tool in order to be able to estimate the radiological inventory of a nuclear facility and it is a powerful tool for decision taken in future sampling surveys.

  7. Energy Information Administration

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

    prior to the start of the winter heating season.) Storage: Net storage injections were strong for the second week in a row according to American Gas Association (AGA) estimates....

  8. EIA Energy Information Administration

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

    for the second week in a row, as the American Gas Association (AGA) estimated a total draw of 103 Bcf for the week ended Friday, January 12. This is the lowest withdrawal...

  9. Analysis of In-Use Fuel Economy Shortfall Based on Voluntarily Reported MPG Estimates

    SciTech Connect (OSTI)

    Greene, David L; Goeltz, Rick; Hopson, Dr Janet L; Tworek, Elzbieta

    2007-01-01

    The usefulness of the Environmental Protection Agency's (EPA) passenger car and light truck fuel economy estimates has been the subject of debate for the past three decades. For the labels on new vehicles and the fuel economy information given to the public, the EPA adjusts dynamometer test results downward by 10% for the city cycle and 22% for the highway cycle to better reflect real world driving conditions. These adjustment factors were developed in 1984 and their continued validity has repeatedly been questioned. In March of 2005 the U.S. Department of Energy (DOE) and EPA's fuel economy information website, www.fueleconomy.gov, began allowing users to voluntarily share fuel economy estimates. This paper presents an initial statistical analysis of more than 3,000 estimates submitted by website users. The analysis suggests two potentially important results: (1) adjusted, combined EPA fuel economy estimates appear to be approximately unbiased estimators of the average fuel economy consumers will experience in actual driving, and (2) the EPA estimates are highly imprecise predictors of any given individual's in-use fuel economy, an approximate 95% confidence interval being +/-7 MPG. These results imply that what is needed is not less biased adjustment factors for the EPA estimates but rather more precise methods of predicting the fuel economy individual consumers will achieve in their own driving.

  10. Laboratory Enrichment of Radioactive Assemblages and Estimation...

    Office of Scientific and Technical Information (OSTI)

    Volume: 24; Journal Issue: 2; Other Information: Copyright (c) 2015 International Association for Mathematical ... Subject: 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; ...

  11. Hydrogen Station Cost Estimates: Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates

    SciTech Connect (OSTI)

    Melaina, M.; Penev, M.

    2013-09-01

    This report compares hydrogen station cost estimates conveyed by expert stakeholders through the Hydrogen Station Cost Calculation (HSCC) to a select number of other cost estimates. These other cost estimates include projections based upon cost models and costs associated with recently funded stations.

  12. Verification of unfold error estimates in the UFO code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1996-07-01

    Spectral unfolding is an inverse mathematical operation which attempts to obtain spectral source information from a set of tabulated response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the UFO (UnFold Operator) code. In addition to an unfolded spectrum, UFO also estimates the unfold uncertainty (error) induced by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5% (standard deviation). 100 random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95% confidence level). A possible 10% bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetemined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-Pinch and ion-beam driven hohlraums.

  13. Fuel Cycle Services Needs Estimator v.2.0

    Energy Science and Technology Software Center (OSTI)

    2008-03-18

    The "Fuel Cycle Services Needs Estimator", Version 2.0 allows users to estimate the amount of uranium enrichment services needed and amount of spent nuclear fuel produced by a given fleet of nuclear power reactors through 2050 based on user-determined information about the size of a reactor fleet and average characteristics of reactors in that fleet. The program helps users evaluate the current and future supply of nuclear fuel cycle services. The program also allows usersmore » to compare the enrichment needs and spent fuel production of more up to seven defined nuclear power reactor fleets and to aggregate estimated needs. Version 2.0 of the program has an additions of new graphs to show results of calculations (calculation capabilities and other graphing tools included in version 1.o), maps showing flows of material based on calculation results, and additional calculation capabilities that allow the user to compare supply to demand (demand calculations included in version 1.0). Default values for seven selected nuclear energy programs in East Asia are included for reference and comparison. The program was designed using the dynamic simulation software, Powersim.« less

  14. Parallel State Estimation Assessment with Practical Data

    SciTech Connect (OSTI)

    Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

    2014-10-31

    This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.

  15. Issues and Methods for Estimating the Percentage Share of Ethanol in Motor Gasoline

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

    ___________________________________________________________________________________ Direct all questions to: Tony Radich, anthony.radich@eia.gov, (202) 586-0504 or Sean Hill, sean.hill@eia.gov (202) 586-4247 Disclaimer: Views not necessarily those of the U.S. Energy Information Administration 1 Issues and Methods for Estimating the Share of Ethanol in the Motor Gasoline Supply U.S. Energy Information Administration October 6, 2011 This paper is released to encourage discussion and critical

  16. Biofuels Information Center

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

    Biofuels Information Center BETO 2015 Peer Review Kristi Moriarty March 24, 2015 2 Goal Statement * The purpose of the Biofuels Information Center (BIC) task is to increase deployment of biofuels production facilities and infrastructure by providing essential biofuels data, tools, and information to all stakeholders * The Bioenergy Atlas tools provide interactive maps and analysis of all relevant biomass data with the purpose of growing the domestic bioenergy market for biofuels and biopower

  17. Contractor Past Performance Information

    Energy Savers [EERE]

    5 (February 2015) 1 Contractor Performance Information This chapter is updated to incorporate OFPP Memorandum dated July 10, 2014, "Making Better Use of Contractor Performance Information" which provides instruction to Contracting Officers and other members of the acquisition workforce in the pre-award phase of acquisition actions by making better use of contractor performance information. This chapter also incorporates the Office of Federal Procurement Policy (OFPP) policy that became

  18. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2001-02-26

    This Manual provides requirements for managing the Department of Energy (DOE) classification and declassification program, including details for classifying and declassifying information, documents, and material. This Manual also supplements DOE O 200.1, INFORMATION MANAGEMENT PROGRAM, which combines broad information management topics under a single Order. Specific requirements for each topic are issued in separate Manuals. Cancels DOE M 475.1-1. Canceled by DOE M 475.1-1B

  19. Tropical Africa: Land use, biomass, and carbon estimates for 1980

    SciTech Connect (OSTI)

    Brown, S.; Gaston, G.; Daniels, R.C.

    1996-06-01

    This document describes the contents of a digital database containing maximum potential aboveground biomass, land use, and estimated biomass and carbon data for 1980 and describes a methodology that may be used to extend this data set to 1990 and beyond based on population and land cover data. The biomass data and carbon estimates are for woody vegetation in Tropical Africa. These data were collected to reduce the uncertainty associated with the possible magnitude of historical releases of carbon from land use change. Tropical Africa is defined here as encompassing 22.7 x 10{sup 6} km{sup 2} of the earth`s land surface and includes those countries that for the most part are located in Tropical Africa. Countries bordering the Mediterranean Sea and in southern Africa (i.e., Egypt, Libya, Tunisia, Algeria, Morocco, South Africa, Lesotho, Swaziland, and Western Sahara) have maximum potential biomass and land cover information but do not have biomass or carbon estimate. The database was developed using the GRID module in the ARC/INFO{sup TM} geographic information system. Source data were obtained from the Food and Agriculture Organization (FAO), the U.S. National Geophysical Data Center, and a limited number of biomass-carbon density case studies. These data were used to derive the maximum potential and actual (ca. 1980) aboveground biomass-carbon values at regional and country levels. The land-use data provided were derived from a vegetation map originally produced for the FAO by the International Institute of Vegetation Mapping, Toulouse, France.

  20. Information Sciences and Technology

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

    file systems Bioinformatics Infectious disease surveillance Climate change and energy security Smart grids Learn more about our Information Science and Technology capabilities

  1. Office of Information Resources

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

    Stephanie Battles Director, Energy Consumption Division, Office of Energy Markets and End Use Energy Information ... Energy suppliers (natural gas, LPG, electricity, fuel ...

  2. Supervisory Information Technology Specialist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will be responsible for providing Information Technology (IT) infrastructure, capabilities and technical support to the Department of Energy (DOE),...

  3. Personally Identifiable Information

    Broader source: Energy.gov [DOE]

    Websites and applications that collect data on individuals are gathering personally identifiable information (PII). PII is also often collected for customer surveys or user experience (UX) research.

  4. Secure Information Sharing

    Energy Science and Technology Software Center (OSTI)

    2005-09-09

    We are develoing a peer-to-peer system to support secure, location independent information sharing in the scientific community. Once complete, this system will allow seamless and secure sharing of information between multiple collaborators. The owners of information will be able to control how the information is stored, managed. ano shared. In addition, users will have faster access to information updates within a collaboration. Groups collaborating on scientific experiments have a need to share information and data.more » This information and data is often represented in the form of files and database entries. In a typical scientific collaboration, there are many different locations where data would naturally be stored. This makes It difficult for collaborators to find and access the information they need. Our goal is to create a lightweight file-sharing system that makes it’easy for collaborators to find and use the data they need. This system must be easy-to-use, easy-to-administer, and secure. Our information-sharing tool uses group communication, in particular the InterGroup protocols, to reliably deliver each query to all of the current participants in a scalable manner, without having to discover all of their identities. We will use the Secure Group Layer (SGL) and Akenti to provide security to the participants of our environment, SGL will provide confldentiality, integrity, authenticity, and authorization enforcement for the InterGroup protocols and Akenti will provide access control to other resources.« less

  5. Service | Open Energy Information

    Open Energy Info (EERE)

    Building Types 1 References EIA CBECS Building Types U.S. Energy Information Administration (Oct 2008) Retrieved from "http:en.openei.orgwindex.php?titleService&oldid27...

  6. Unclassified Controlled Nuclear Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1995-09-25

    To prevent unauthorized dissemination of Unclassified Controlled Nuclear Information (UCNI). Cancels DOE 5635.4 and DOE 5650.3A

  7. Information Science & Technology Institute

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

    ISTI Information Science & Technology Institute Providing connection to program management for capability needs, as well as IS&T integration and support for mission-critical...

  8. WVCP | Open Energy Information

    Open Energy Info (EERE)

    Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  9. Coolerado | Open Energy Information

    Open Energy Info (EERE)

    Coolerado Jump to: navigation, search Name: Coolerado Place: Denver, CO Website: www.coolerado.com References: Coolerado1 Information About Partnership with NREL Partnership with...

  10. Information Exchange development forums

    Energy Science and Technology Software Center (OSTI)

    2012-08-01

    GitHub repositories for creating and managing information exchanges (content models) for use in the NGDS and larger USGIN systems.

  11. Emergency Public Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21

    This volume defines elements of providing information to the public during and following emergencies. Canceled by DOE G 151.1-4.

  12. SOURCE SELECTION INFORMATION -

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

    SOURCE SELECTION INFORMATION - SEE FEDERAL ACQUISITION REGULATION (FAR) 2.101 AND 3.104 Department of Energy Washington, DC 20585 (enter date here, centered revised template...

  13. PBS-30 Supplemental Information

    Broader source: Energy.gov [DOE]

    At the April 8, 2015 Committee meeting David Rhodes DOE, Provided Supplemental Information on Project Categories for LANL Clean-up Budget Year 2017.

  14. Technical Information Specialist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a Technical Information Specialist coordinating and executing data curation and quality activities, including software quality assurance, for...

  15. For Further Information

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

    For Further Information 1. Media Inquiries Bartlett W. Jackson Assistant Press Secretary, Office of Public Affairs, Department of Energy Email: bartlett.jackson@hq.doe.gov 2. ...

  16. Information Technology Specialist

    Broader source: Energy.gov [DOE]

    The Information Technology Services Office (ITSO) is an office within the Office of Business Operations (BO) that provides administrative support to the Office of Energy Efficiency and Renewable...

  17. Ford | Open Energy Information

    Open Energy Info (EERE)

    search Name: Ford Place: Dearborn, MI Website: www.ford.com References: FORD-NREL CRADA1 Information About Partnership with NREL Partnership with NREL Yes Partnership...

  18. Information Exchange management site

    Energy Science and Technology Software Center (OSTI)

    2012-08-01

    Django site used to manage the approved information exchanges (content models) after creation and public comment at https://github.com/usgin-models.

  19. Trane | Open Energy Information

    Open Energy Info (EERE)

    NJ Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  20. NIST | Open Energy Information

    Open Energy Info (EERE)

    CO Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  1. SUPERVALU | Open Energy Information

    Open Energy Info (EERE)

    MN Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  2. Transformations | Open Energy Information

    Open Energy Info (EERE)

    Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  3. Synergy | Open Energy Information

    Open Energy Info (EERE)

    MA Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  4. Roxul | Open Energy Information

    Open Energy Info (EERE)

    ON Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  5. NYSERDA | Open Energy Information

    Open Energy Info (EERE)

    NY Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  6. Enterprise | Open Energy Information

    Open Energy Info (EERE)

    Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  7. Pulte | Open Energy Information

    Open Energy Info (EERE)

    MI Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  8. Samsung | Open Energy Information

    Open Energy Info (EERE)

    Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL National Wind Technology Center...

  9. SEMCO | Open Energy Information

    Open Energy Info (EERE)

    OH Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  10. Panasonic | Open Energy Information

    Open Energy Info (EERE)

    Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  11. UNCLASSIFIED Information Science and ...

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

    ... data analysis, including machine learning, statistical learning theory and information theory. Application areas of his research include image analysis, medical imaging, acoustic ...

  12. Caterpillar | Open Energy Information

    Open Energy Info (EERE)

    Caterpillar Jump to: navigation, search Name: Caterpillar Place: Peoria, IL Website: www.cat.com References: NREL News Release: Reduce Truck Idling1 Information About Partnership...

  13. Icynene | Open Energy Information

    Open Energy Info (EERE)

    Name: Icynene Place: Mississauga, Canada Website: www.icynene.com References: New American Home 20061 Information About Partnership with NREL Partnership with NREL Yes...

  14. Transmission - Contact Information

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

    Contact-Information-Transmission Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects &...

  15. Transmission Contact Information

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

    Contact-Information Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance &...

  16. Wattstopper | Open Energy Information

    Open Energy Info (EERE)

    Wattstopper Jump to: navigation, search Name: Wattstopper Place: Santa Clara, CA Website: www.wattstopper.com References: Wattstopper1 Information About Partnership with NREL...

  17. Envinity | Open Energy Information

    Open Energy Info (EERE)

    Envinity Jump to: navigation, search Name: Envinity Place: State College, PA Website: www.envinity.com References: Envinity Website1 Information About Partnership with NREL...

  18. IBACOS | Open Energy Information

    Open Energy Info (EERE)

    IBACOS Jump to: navigation, search Name: IBACOS Place: Pittsburgh, PA Website: www.ibacos.com References: IBACOS1 Information About Partnership with NREL Partnership with NREL...

  19. Masco | Open Energy Information

    Open Energy Info (EERE)

    Masco Jump to: navigation, search Name: Masco Place: Taylor, MI Website: www.masco.com References: Masco1 Information About Partnership with NREL Partnership with NREL Yes...

  20. CAES Contact Information

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

    View all events >> x CAES Home Home About Us Contact Information Our CAES Building FAQs Affiliated Centers Research Core Capabilities Laboratories and Equipment Technology Transfer...

  1. Value of Information spreadsheet

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

    Trainor-Guitton, Whitney

    2014-05-12

    This spreadsheet represents the information posteriors derived from synthetic data of magnetotellurics (MT). These were used to calculate value of information of MT for geothermal exploration. Information posteriors describe how well MT was able to locate the "throat" of clay caps, which are indicative of hidden geothermal resources. This data is full explained in the peer-reviewed publication: Trainor-Guitton, W., Hoversten, G. M., Ramirez, A., Roberts, J., Jlusson, E., Key, K., Mellors, R. (Sept-Oct. 2014) The value of spatial information for determining well placement: a geothermal example, Geophysics.

  2. SOURCE SELECTION INFORMATION -

    Energy Savers [EERE]

    disseminating this predecisional information, we respectfully request that you consult with the Department prior to making such a decision. The action, in support of the...

  3. SOURCE SELECTION INFORMATION -

    Office of Environmental Management (EM)

    disseminating this predecisional information, we respectfully request that you consult with the Department prior to making such a decision. This (if it is a multi-year...

  4. Security classification of information

    SciTech Connect (OSTI)

    Quist, A.S.

    1989-09-01

    Certain governmental information must be classified for national security reasons. However, the national security benefits from classifying information are usually accompanied by significant costs -- those due to a citizenry not fully informed on governmental activities, the extra costs of operating classified programs and procuring classified materials (e.g., weapons), the losses to our nation when advances made in classified programs cannot be utilized in unclassified programs. The goal of a classification system should be to clearly identify that information which must be protected for national security reasons and to ensure that information not needing such protection is not classified. This document was prepared to help attain that goal. This document is the first of a planned four-volume work that comprehensively discusses the security classification of information. Volume 1 broadly describes the need for classification, the basis for classification, and the history of classification in the United States from colonial times until World War 2. Classification of information since World War 2, under Executive Orders and the Atomic Energy Acts of 1946 and 1954, is discussed in more detail, with particular emphasis on the classification of atomic energy information. Adverse impacts of classification are also described. Subsequent volumes will discuss classification principles, classification management, and the control of certain unclassified scientific and technical information. 340 refs., 6 tabs.

  5. Value of Information spreadsheet

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

    Trainor-Guitton, Whitney

    2014-05-12

    This spreadsheet represents the information posteriors derived from synthetic data of magnetotellurics (MT). These were used to calculate value of information of MT for geothermal exploration. Information posteriors describe how well MT was able to locate the "throat" of clay caps, which are indicative of hidden geothermal resources. This data is full explained in the peer-reviewed publication: Trainor-Guitton, W., Hoversten, G. M., Ramirez, A., Roberts, J., Júlíusson, E., Key, K., Mellors, R. (Sept-Oct. 2014) The value of spatial information for determining well placement: a geothermal example, Geophysics.

  6. Nxegen | Open Energy Information

    Open Energy Info (EERE)

    Zip: 6457 Sector: Services Product: Intelligent energy management company. Provides real-time energy information and load management services to municipal, commercial, and...

  7. Budget estimates, fiscal year 1997. Volume 12

    SciTech Connect (OSTI)

    1996-03-01

    This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.

  8. Forward estimation for game-tree search

    SciTech Connect (OSTI)

    Zhang, Weixiong

    1996-12-31

    It is known that bounds on the minimax values of nodes in a game tree can be used to reduce the computational complexity of minimax search for two-player games. We describe a very simple method to estimate bounds on the minimax values of interior nodes of a game tree, and use the bounds to improve minimax search. The new algorithm, called forward estimation, does not require additional domain knowledge other than a static node evaluation function, and has small constant overhead per node expansion. We also propose a variation of forward estimation, which provides a tradeoff between computational complexity and decision quality. Our experimental results show that forward estimation outperforms alpha-beta pruning on random game trees and the game of Othello.

  9. Lensed CMB simulation and parameter estimation

    SciTech Connect (OSTI)

    Lewis, Antony

    2005-04-15

    Modelling of the weak lensing of the CMB will be crucial to obtain correct cosmological parameter constraints from forthcoming precision CMB anisotropy observations. The lensing affects the power spectrum as well as inducing non-Gaussianities. We discuss the simulation of full-sky CMB maps in the weak lensing approximation and describe a fast numerical code. The series expansion in the deflection angle cannot be used to simulate accurate CMB maps, so a pixel remapping must be used. For parameter estimation accounting for the change in the power spectrum but assuming Gaussianity is sufficient to obtain accurate results up to Planck sensitivity using current tools. A fuller analysis may be required to obtain accurate error estimates and for more sensitive observations. We demonstrate a simple full-sky simulation and subsequent parameter estimation at Planck-like sensitivity. The lensed CMB simulation and parameter estimation codes are publicly available.

  10. Hydrogen Production Cost Estimate Using Biomass Gasification...

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

    potential of Hydrogen Production Cost Estimate Using Biomass Gasification The Panel reviewed the current H2A case (Version 2.12, Case 01D) for hydrogen production via ...

  11. Preliminary CBECS End-Use Estimates

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

    For the past three CBECS (1989, 1992, and 1995), we used a statistically-adjusted engineering (SAE) methodology to estimate end-use consumption. The core of the SAE methodology...

  12. A simple method to estimate interwell autocorrelation

    SciTech Connect (OSTI)

    Pizarro, J.O.S.; Lake, L.W.

    1997-08-01

    The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.

  13. WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES

    Office of Legacy Management (LM)

    RADIATION ESTIMATES for the RULISON EVENT Final Report Albert H . S t o u t , Ray E . ... f i c e U . ' S . Atomic Energy Commission January 1970 LEGAL NOTSCCE ; L *U . . . . . - . ...

  14. Estimating electron drift velocities in magnetron discharges...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Estimating ... OSTI Identifier: 1172974 Report Number(s): LBNL-5865E DOE Contract Number: DE-AC02-05CH11231 Resource Type: Journal ...

  15. gtp_flow_power_estimator.xlsx

    Broader source: Energy.gov [DOE]

    This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.

  16. Waste management facilities cost information for hazardous waste. Revision 1

    SciTech Connect (OSTI)

    Shropshire, D.; Sherick, M.; Biagi, C.

    1995-06-01

    This report contains preconceptual designs and planning level life-cycle cost estimates for managing hazardous waste. The report`s information on treatment, storage, and disposal modules can be integrated to develop total life-cycle costs for various waste management options. A procedure to guide the US Department of Energy and its contractor personnel in the use of cost estimation data is also summarized in this report.

  17. IDC Reengineering Phase 2 & 3 Rough Order of Magnitude (ROM) Cost Estimate Summary (Leveraged NDC Case).

    SciTech Connect (OSTI)

    Harris, James M.; Prescott, Ryan; Dawson, Jericah M.; Huelskamp, Robert M.

    2014-11-01

    Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, based on leveraging a fully funded, Sandia executed NDC Modernization project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

  18. Chapter 3: FY 2005 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed—NEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.

  19. Chapter 3: FY 2006 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed–NEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.

  20. Supporting document for the north east quadrant historical tank content estimate report for AX-tank farm

    SciTech Connect (OSTI)

    Brevick, C.H.; Gaddis, L.A.; Walsh, A.C.

    1994-06-01

    This Supporting Document provides historical in-depth characterization information gathered in AX-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature data, sampling data, and drywell and liquid observation well data for Historical Tank Content Estimate Report of the NE Quadrant and the Hanford 200 East Areas.

  1. Supporting document for the North East Quandrant Historical Tank Content Estimate Report for BX-Tank Farm

    SciTech Connect (OSTI)

    Brevick, C.H.

    1994-06-01

    This supporting document provides historical in-depth characterization information gathered on BX-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature data, sampling data, and drywell and liquid observation well data for Historical Tank Content Estimate Report of the NE Quandrant and the Hanford 200 East Areas.

  2. Supporting document for the north east quadrant historical tank content estimate report for C-Tank Farm

    SciTech Connect (OSTI)

    Brevick, C.H.; Gaddis, L.A.; Walsh, A.C.

    1994-06-01

    This Supporting Document provides historical in-depth characterization information gathered on C-Tank Farm, such as historical waste transfer and level data, tank physical information, temperature data, sampling data, and drywell and liquid observation well data for Historical Tank Content Estimate Report of the NE Quadrant and the Hanford 200 East Areas.

  3. Measures of microstructure to improve estimates and bounds on elastic constants and transport coefficients in heterogeneous media

    SciTech Connect (OSTI)

    Berryman, J G

    2004-10-07

    The most commonly discussed measures of microstructure in composite materials are the spatial correlation functions, which in a porous medium measure either the grain-to-grain correlations, or the pore-to-pore correlations in space. Improved bounds based on this information such as the Beran-Molyneux bounds for bulk modulus and the Beran bounds for conductivity are well-known. It is first shown here how to make direct use of this information to provide estimates that always lie between these upper and lower bounds for any microstructure whenever the microgeometry parameters are known. Then comparisons are made between these estimates, the bounds, and two new types of estimates. One new estimate for elastic constants makes use of the Peselnick-Meister bounds (based on Hashin-Shtrikman methods) for random polycrystals of laminates to generate self-consistent values that always lie between the bounds. A second new type of estimate for conductivity assumes that measurements of formation factors (of which there are at least two distinct types in porous media, associated respectively with pores and grains) are available, and computes new bounds based on this information. The paper compares and contrasts these various methods in order to clarify just what microstructural information and how precisely that information needs to be known in order to be useful for estimating material constants in random and heterogeneous media.

  4. Environmental geographic information system.

    SciTech Connect (OSTI)

    Peek, Dennis; Helfrich, Donald Alan; Gorman, Susan

    2010-08-01

    This document describes how the Environmental Geographic Information System (EGIS) was used, along with externally received data, to create maps for the Site-Wide Environmental Impact Statement (SWEIS) Source Document project. Data quality among the various classes of geographic information system (GIS) data is addressed. A complete listing of map layers used is provided.

  5. Information extraction system

    SciTech Connect (OSTI)

    Lemmond, Tracy D; Hanley, William G; Guensche, Joseph Wendell; Perry, Nathan C; Nitao, John J; Kidwell, Paul Brandon; Boakye, Kofi Agyeman; Glaser, Ron E; Prenger, Ryan James

    2014-05-13

    An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.

  6. Information Security Program

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1995-09-28

    Establishes an Information Security Program for the protection and control of classified and sensitive information. Cancels DOE 5630.8A, DOE 5639.1, DOE 5639.5, DOE 5639.6A, DOE 5639.7, DOE M 5632.1C-1, Chapter III, Para. 1, 2, and 4-9

  7. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2007-08-28

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD) and Formerly Restricted Data (FRD)] or Executive Order 12958, as amended [National Security Information (NSI)], so that it can be protected against unauthorized dissemination. Canceled by DOE O 475.2

  8. Classified Session Information

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

    Classification Policy, Guidance & Reports Classification Policy, Guidance & Reports Statutes, Regulations, Executive Orders, DOE Directives and Bulletins Atomic Energy Act of 1954 - Establishes Government-wide policies for classifying, safeguarding, and declassifying Restricted Data information. 10 CFR Part 1045 - establishes responsiblities and requirements for classifying and declassifying RD and FRD. Executive Order 13526, Classified National Security Information - Prescribes the

  9. Information Pods Inform Public on Savannah River Site Missions...

    Energy Savers [EERE]

    Information Pods Inform Public on Savannah River Site Missions Information Pods Inform Public on Savannah River Site Missions December 29, 2015 - 12:20pm Addthis SRNS Solid Waste ...

  10. Energy information directory 1994

    SciTech Connect (OSTI)

    Not Available

    1994-03-28

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. The two principal functions related to this task are (1) operating a general access telephone line, and (2) responding to energy-related correspondence addressed to the Energy Information Administration (EIA). The Energy Information Directory was developed to assist the NEIC staff, as well as other Department of Energy (DOE) staff, in directing inquiries to the proper offices within DOE, other Federal agencies, or energy-related trade associations. The Directory is a list of most Government offices and trade associations that are involved in energy matters. It does not include those DOE offices which do not deal with the public or public information.

  11. Estimated recharge rates at the Hanford Site

    SciTech Connect (OSTI)

    Fayer, M.J.; Walters, T.B.

    1995-02-01

    The Ground-Water Surveillance Project monitors the distribution of contaminants in ground water at the Hanford Site for the U.S. Department of Energy. A subtask called {open_quotes}Water Budget at Hanford{close_quotes} was initiated in FY 1994. The objective of this subtask was to produce a defensible map of estimated recharge rates across the Hanford Site. Methods that have been used to estimate recharge rates at the Hanford Site include measurements (of drainage, water contents, and tracers) and computer modeling. For the simulations of 12 soil-vegetation combinations, the annual rates varied from 0.05 mm/yr for the Ephrata sandy loam with bunchgrass to 85.2 mm/yr for the same soil without vegetation. Water content data from the Grass Site in the 300 Area indicated that annual rates varied from 3.0 to 143.5 mm/yr during an 8-year period. The annual volume of estimated recharge was calculated to be 8.47 {times} 10{sup 9} L for the potential future Hanford Site (i.e., the portion of the current Site bounded by Highway 240 and the Columbia River). This total volume is similar to earlier estimates of natural recharge and is 2 to 10x higher than estimates of runoff and ground-water flow from higher elevations. Not only is the volume of natural recharge significant in comparison to other ground-water inputs, the distribution of estimated recharge is highly skewed to the disturbed sandy soils (i.e., the 200 Areas, where most contaminants originate). The lack of good estimates of the means and variances of the supporting data (i.e., the soil map, the vegetation/land use map, the model parameters) translates into large uncertainties in the recharge estimates. When combined, the significant quantity of estimated recharge, its high sensitivity to disturbance, and the unquantified uncertainty of the data and model parameters suggest that the defensibility of the recharge estimates should be improved.

  12. Cost estimates for the Uranium-in-Soils Integrated Demonstration field screening technologies

    SciTech Connect (OSTI)

    Douthat, D.M.; Armstrong, A.Q.; Ladd, B.

    1993-09-01

    The objective of this document is to describe the work conducted by the ORNL Performance Assessment Group members responsible for developing the cost analysis reports for the uranium-in-soils Integrated Demonstration (ID). The following information is provided in this report: (1) an explanation of the cost input questionnaires, which were sent to the developers of the field screening technologies and used by the cost estimator to acquire information and develop the cost estimates, (2) a description of the computer software package chosen to create the cost estimates, as well as why it was chosen, (3) a description of how the Uranium-in-Soils ID project is broken down structurally in terms of a work breakdown structure (WBS) for the cost estimates, (4) an explanation of the assumptions made by the cost estimator in developing the cost estimates, (5) a summary of the expected costs for each field screening technology, and (6) an explanation of how the cost analysis reports for a scenario evaluation (provided in the cost input questionnaires) were derived, as well as a summary of the scenario evaluation costs for each technology.

  13. Comparative Evaluation of Two Methods to Estimate Natural Gas Production in Texas

    Reports and Publications (EIA)

    2003-01-01

    This report describes an evaluation conducted by the Energy Information Administration (EIA) in August 2003 of two methods that estimate natural gas production in Texas. The first method (parametric method) was used by EIA from February through August 2003 and the second method (multinomial method) replaced it starting in September 2003, based on the results of this evaluation.

  14. Estimation and validation of mode distances for the 1993 Commodity Flow Survey

    SciTech Connect (OSTI)

    Middendorf, D.P.; Bronzini, M. S.; Peterson, B.; Liu, Cheng; Chin, Shih-Miao

    1995-09-01

    The 1993 Commodity Flow Survey (CFS) collected shipment data from a sample of approximately 200,000 domestic business establishments. Each selected establishment provided information on origin, destination, commodity, shipment weight and value, and modes of transport for a sample of its outbound shipments. One data item not reported by CFS participants was shipment distance. This important piece of information was estimated by simulating probable routes using computer models of the highway, rail, air, waterway, and pipeline networks and their interconnections. This paper describes the nature of the shipment distance estimation problem, the procedures used to estimate mode-specific distances between origin and destination ZIP codes, and the techniques used to validate the results.

  15. Robust Optical Richness Estimation with Reduced Scatter

    SciTech Connect (OSTI)

    Rykoff, E.S.; Koester, B.P.; Rozo, E.; Annis, J.; Evrard, A.E.; Hansen, S.M.; Hao, J.; Johnston, D.E.; McKay, T.A.; Wechsler, R.H.; /KIPAC, Menlo Park /SLAC

    2012-06-07

    Reducing the scatter between cluster mass and optical richness is a key goal for cluster cosmology from photometric catalogs. We consider various modifications to the red-sequence matched filter richness estimator of Rozo et al. (2009b), and evaluate their impact on the scatter in X-ray luminosity at fixed richness. Most significantly, we find that deeper luminosity cuts can reduce the recovered scatter, finding that {sigma}{sub ln L{sub X}|{lambda}} = 0.63 {+-} 0.02 for clusters with M{sub 500c} {approx}> 1.6 x 10{sup 14} h{sub 70}{sup -1} M{sub {circle_dot}}. The corresponding scatter in mass at fixed richness is {sigma}{sub ln M|{lambda}} {approx} 0.2-0.3 depending on the richness, comparable to that for total X-ray luminosity. We find that including blue galaxies in the richness estimate increases the scatter, as does weighting galaxies by their optical luminosity. We further demonstrate that our richness estimator is very robust. Specifically, the filter employed when estimating richness can be calibrated directly from the data, without requiring a-priori calibrations of the red-sequence. We also demonstrate that the recovered richness is robust to up to 50% uncertainties in the galaxy background, as well as to the choice of photometric filter employed, so long as the filters span the 4000 {angstrom} break of red-sequence galaxies. Consequently, our richness estimator can be used to compare richness estimates of different clusters, even if they do not share the same photometric data. Appendix A includes 'easy-bake' instructions for implementing our optimal richness estimator, and we are releasing an implementation of the code that works with SDSS data, as well as an augmented maxBCG catalog with the {lambda} richness measured for each cluster.

  16. Employee Information | The Ames Laboratory

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

    Employee Information Employee Information Access Plus Benefits ISU Policy Library Leave Information Logging into Deltek Time & Expense (video) Entering Hours and Absence Requests (video Professional & Scientific Information Drug Free Workplace Training

  17. GAO Cost Estimating and Assessment Guide | Department of Energy

    Energy Savers [EERE]

    Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide: Twelve Steps of a High-Quality Cost Estimating Process, from the first step of defining the estimate's purpose to the last step of updating the estimate to reflect actual costs and changes. Twelve Steps of a High-Quality Cost Estimating Process (75.75 KB) Key Resources PMCDP EVMS PARS IIe FPD Resource Center PM Newsletter Forms and Templates More Documents & Publications

  18. Sub-Second Parallel State Estimation

    SciTech Connect (OSTI)

    Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu

    2014-10-31

    This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days’ worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than today’s commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimator’s single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators’ actions and automated controls to mitigate effects

  19. ENERGY INFORMATION CLEARINGHOUSE

    SciTech Connect (OSTI)

    Ron Johnson

    2003-10-01

    Alaska has spent billions of dollars on various energy-related activities over the past several decades, with projects ranging from smaller utilities used to produce heat and power in rural Alaska to huge endeavors relating to exported resources. To help provide information for end users, utilities, decision makers, and the general public, the Institute of Northern Engineering at UAF established an Energy Information Clearinghouse accessible through the worldwide web in 2002. This clearinghouse contains information on energy resources, end use technologies, policies, related environmental issues, emerging technologies, efficiency, storage, demand side management, and developments in Alaska.

  20. Information Management Program

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1996-09-30

    Provides a framework for managing information, information resources, and information technology investment, which supports the operating elements of the Department in the accomplishment of its missions and functions in both an efficient and effective manner and in accordance with Departmental policy. Cancels: DOE 1324.5B, DOE 5900.1A, DOE 1130.8A, DOE 1330.1D, DOE 1410.2, DOE 1450.3A, DOE 1700.1, DOE 1800.1A, DOE 5300.1C

  1. Golden - Local Information | NREL

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

    Golden-Local Information This page provides travel information for visitors to the Golden offices and laboratories of the National Renewable Energy Laboratory. Transportation NREL is accessible via bus on the RTD route 20 from Aurora and Denver. Route 20 travels along 20th Avenue and ends at the NREL Education Center. Visit the RTD Web site or call 303-299-6000 to plan your trip or for more information. Visit the Denver International Airport site to find: Car rental agencies Shuttle services,

  2. WIPP Information Center

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

    WIPP milestones are noted on banners at the WIPP Experience Exhibit at the Skeen-Whitlock Building in Carlsbad. The WIPP Experience Exhibit at 4021 National Parks Highway in Carlsbad, N.M. WIPP Information Center Address: 4021 National Parks Highway Carlsbad, NM 88220 Toll-free telephone number: 1-800-336-WIPP (9477) E-mail inquiries are welcomed For emergency contact information, please refer to the Joint Information Center page. Media Contacts Tim Runyon U.S. Department of Energy WIPP Recovery

  3. Sauerlach GEPP | Open Energy Information

    Open Energy Info (EERE)

    Home Sauerlach GEPP General Information Name Sauerlach GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 47.972400325481,...

  4. Unterhaching GEPP | Open Energy Information

    Open Energy Info (EERE)

    Home Unterhaching GEPP General Information Name Unterhaching GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 48.055885240766,...

  5. Caliper Log | Open Energy Information

    Open Energy Info (EERE)

    Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Well Log Techniques Information Provided by...

  6. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

    SciTech Connect (OSTI)

    Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze

    2015-01-15

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrongs estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.

  7. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze

    2015-01-15

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmore » of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors Δg/g for shears up to |g| = 0.2.« less

  8. Building unbiased estimators from non-Gaussian likelihoods with application to shear estimation

    SciTech Connect (OSTI)

    Madhavacheril, Mathew S.; Sehgal, Neelima; McDonald, Patrick; Slosar, Ane E-mail: pvmcdonald@lbl.gov E-mail: anze@bnl.gov

    2015-01-01

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong's estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g|=0.2.

  9. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

    SciTech Connect (OSTI)

    Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima

    2015-01-01

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrongs estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.

  10. Energy Information Administration

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

    Annual Report of the Origin of Natural Gas Liquids Production 1 U.S. DEPARTMENT OF ENERGY Energy Information Administration Washington, DC 20585 Form Approved OMB Number: 1905-0057 ...

  11. Energy Information Administration

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

    X EIA-64A Annual Report of the Origin of Natural Gas Liquids Production 1 U.S. DEPARTMENT OF ENERGY Energy Information Administration Washington, DC 20585 Form Approved OMB Number: ...

  12. Conectiv | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name: Conectiv Place: Delaware References: Energy Information Administration.1 EIA Form 861 Data Utility Id 5027 This article is a stub. You can help OpenEI...

  13. PEMP General Information

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

    OF CONTENTS Num ber PEMP General Information A Introduction 2 B Roles and Responsibilities 3 C Process and Schedule 5 D Contractor Self-Assessment 5 E PEMP Numbering System and ...

  14. STEM Career Information Seminar

    Broader source: Energy.gov [DOE]

    This event will expose high school students to STEM professionals and STEM careers at the Department of Energy. We'll also cover the federal hiring process, internships, and information on getting involved in Department of Energy STEM programs.

  15. Building the Information Superhighway

    Office of Scientific and Technical Information (OSTI)

    impromptu video conference--a harbinger of the ease with which we will be able to talk, visit together, and share information in the near future--was broadcast in 11...

  16. Newbie | Open Energy Information

    Open Energy Info (EERE)

    about OpenEI? FaceBook 32x32.png Twitter 32x32.png Youtube 32x32.png The OpenEI energy blogs Ready for more? Check out the Content Developer section for more detailed information...

  17. Value of Information References

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

    Morency, Christina

    This file contains a list of relevant references on value of information (VOI) in RIS format. VOI provides a quantitative analysis to evaluate the outcome of the combined technologies (seismology, hydrology, geodesy) used to monitor Brady's Geothermal Field.

  18. Identification of Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1991-12-31

    To specify responsibilities, authorities, policy, and procedures for the management of the Department of Energy (DOE) program to identify classified information, documents, or material. Cancels DOE O 5650.2A, dated 5-8-85.

  19. Freedom of Information Act

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

    S (BPA) - NN-1 Cc: Shay, Don Subject: Request for Corona and Field Effects Program Hi Kim, Pursuant to the Freedom of Information Act, I would like to request a copy of...

  20. Office of Information Security

    Broader source: Energy.gov [DOE]

    The Office of Information Security is responsible for implementation of the Classified Matter Protection and Control Program (CMPC), the Operations Security Program (OPSEC) and the Facility Clearance Program and the Survey Program for Headquarters

  1. The Power of Information

    Office of Energy Efficiency and Renewable Energy (EERE)

    Our electric transmission system is not reliable as it should be and far too costly -- and doesn't provide the information it can and should to consumers. Find out how you can join the conversation.

  2. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1998-05-08

    This Manual provides requirements for managing the Departments classification and declassification program, including details for classifying and declassifying information, documents, and material. Cancels DOE O 5650.2B.

  3. NETL Contact Information

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

    NETL Contact Information Contact U.S. Department of Energy National Energy Technology Laboratory PITTSBURGH, PA 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236-0940...

  4. Energy Information Directory 1996

    SciTech Connect (OSTI)

    1997-01-01

    This directory lists most government offices and trade associations that are involved in energy matters. It does not include DOE offices which do not deal with the public or public information.

  5. Energy information directory 1998

    SciTech Connect (OSTI)

    1998-11-01

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. The two principal functions related to this task are: (1) operating a general access telephone line, and (2) responding to energy-related correspondence addressed to the Energy Information Administration (EIA). The Energy Information Directory was developed to assist the NEIC staff, as well as other Department of Energy (DOE) staff, in directing inquiries to the proper offices within DOE, other Federal agencies, or energy-related trade associations. The Directory lists most Government offices and trade associations that are involved in energy matters.

  6. Freedom of Information Act

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

    02, 2014 1:45 PM Submitted by Anonymous User This message was created by a Microsoft InfoPath form. The form data may be included as an attachment. Freedom of Information Act...

  7. Information Meeting- Education

    ScienceCinema (OSTI)

    None

    2011-04-25

    Suite à un circulaire, Messieurs Goldschmidt et Ullmann donnent plus d'information et attendent des questions/réponses concernant les problèmes d'éducation d'enfants

  8. Value of Information References

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

    Morency, Christina

    2014-12-12

    This file contains a list of relevant references on value of information (VOI) in RIS format. VOI provides a quantitative analysis to evaluate the outcome of the combined technologies (seismology, hydrology, geodesy) used to monitor Brady's Geothermal Field.

  9. Robust estimation procedure in panel data model

    SciTech Connect (OSTI)

    Shariff, Nurul Sima Mohamad; Hamzah, Nor Aishah

    2014-06-19

    The panel data modeling has received a great attention in econometric research recently. This is due to the availability of data sources and the interest to study cross sections of individuals observed over time. However, the problems may arise in modeling the panel in the presence of cross sectional dependence and outliers. Even though there are few methods that take into consideration the presence of cross sectional dependence in the panel, the methods may provide inconsistent parameter estimates and inferences when outliers occur in the panel. As such, an alternative method that is robust to outliers and cross sectional dependence is introduced in this paper. The properties and construction of the confidence interval for the parameter estimates are also considered in this paper. The robustness of the procedure is investigated and comparisons are made to the existing method via simulation studies. Our results have shown that robust approach is able to produce an accurate and reliable parameter estimates under the condition considered.

  10. Estimating exposure of terrestrial wildlife to contaminants

    SciTech Connect (OSTI)

    Sample, B.E.; Suter, G.W. II

    1994-09-01

    This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.

  11. Reionization history and CMB parameter estimation

    SciTech Connect (OSTI)

    Dizgah, Azadeh Moradinezhad; Kinney, William H.; Gnedin, Nickolay Y. E-mail: gnedin@fnal.edu

    2013-05-01

    We study how uncertainty in the reionization history of the universe affects estimates of other cosmological parameters from the Cosmic Microwave Background. We analyze WMAP7 data and synthetic Planck-quality data generated using a realistic scenario for the reionization history of the universe obtained from high-resolution numerical simulation. We perform parameter estimation using a simple sudden reionization approximation, and using the Principal Component Analysis (PCA) technique proposed by Mortonson and Hu. We reach two main conclusions: (1) Adopting a simple sudden reionization model does not introduce measurable bias into values for other parameters, indicating that detailed modeling of reionization is not necessary for the purpose of parameter estimation from future CMB data sets such as Planck. (2) PCA analysis does not allow accurate reconstruction of the actual reionization history of the universe in a realistic case.

  12. Information applications: Rapporteur summary

    SciTech Connect (OSTI)

    Siegel, S.

    1990-12-31

    An increased level of mathematical sophistication will be needed in the future to be able to handle the spectrum of information as it comes from a broad array of biological systems and other sources. Classification will be an increasingly complex and difficult issue. Several projects that are discussed are being developed by the US Department of Health and Human Services (DHHS), including a directory of risk assessment projects and a directory of exposure information resources.

  13. ARM - Methane Background Information

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

    WarmingMethane Background Information Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Methane Background Information What is Methane? Why Do We Use Methane? How is Methane Made? Where Do We Find Methane? Can Methane Be Dangerous? Does Methane Contribute to Climate Change? What is Methane?

  14. Physics Informed Machine Learning

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

    Physics Informed Machine Learning Physics Informed Machine Learning WHEN: Jan 19, 2016 8:00 AM - Jan 22, 2016 4:00 PM WHERE: Inn at Loretto, Santa Fe CATEGORY: Science TYPE: Conference INTERNAL: Calendar Login Event Description A revolution in statistics and machine learning (ML) is underway. Modern algorithms can now learn high level abstractions via hierarchical models, leading to breakthrough accuracies in benchmarks for computer vision, language, etc. Underlying these advances is a strong

  15. Information Sciences and Technology

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

    Information Sciences and Technology Information Sciences and Technology National security depends on science and technology. The United States relies on Los Alamos National Laboratory for the best of both. No place on Earth pursues a broader array of world-class scientific endeavors. Contact thumbnail of Business Development Executive Steve Stringer Business Development Executive Richard P. Feynman Center for Innovation (505) 660-2177 Email Los Alamos leverages advances in theory, algorithms,

  16. Open Energy Information Systems

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

    OpenEIS (energy information systems) Jessica Granderson Lawrence Berkeley National Laboratory JGranderson@lbl.gov, 510.486.6792 April 3, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: Advanced algorithms and analyses can enable 5-40% savings, yet are rarely adopted; 3 relevant barriers include: 1. Lack of awareness that simple analytics can be used to generate valuable insights and actionable information, without further training 2. Risk

  17. Sandia Proprietary Information PII

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

    BRU (09-2014) Sandia Proprietary Information PII 1 Sandia Proprietary Information NEW MEXICO BACKGROUND REVIEW UPDATE You are receiving this notice on behalf of the Personnel Security Background Review Office. If you have any questions regarding the Background Review process, or the attached form. Contact the Personnel Security Background Review Office at 1-800-417-2634, ext. 844-8902 or (505) 844-8902. In compliance with 48 CFR 904.401 prior to selecting any individual for any position

  18. Contractor Past Performance Information

    Energy Savers [EERE]

    Contractor Human Resources Management Contractor Human Resources Management Value Study Desk Manual & Cost Study Manual Memo from Robert Myers regarding DOE Benefit Value Desk Manual (56.76 KB) Value Study Desk Manual (1005.83 KB) Cost study manual 06 29 2012.pdf (334.92 KB) More Documents & Publications Value Study Desk Manual VALUE STUDY VALUE STUDY

    6 (August 2013) 1 Reporting Other Contractor Information into Federal Awardee Performance and Integrity Information System (FAPIIS)

  19. Protecting your personal information

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

    Protecting your personal information Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue: September 1, 2016 all issues All Issues » submit Protecting your personal information Quantum cryptography keeps data secure from cyber thieves October 1, 2014 Mass-producible quantum smart card and fiber optics cable. Mass-producible quantum smart card and fiber optics cable. Contact Community Programs Director Kurt Steinhaus Email Editor Ute Haker

  20. Information systems definition architecture

    SciTech Connect (OSTI)

    Calapristi, A.J.

    1996-06-20

    The Tank Waste Remediation System (TWRS) Information Systems Definition architecture evaluated information Management (IM) processes in several key organizations. The intent of the study is to identify improvements in TWRS IM processes that will enable better support to the TWRS mission, and accommodate changes in TWRS business environment. The ultimate goals of the study are to reduce IM costs, Manage the configuration of TWRS IM elements, and improve IM-related process performance.

  1. Special Undergraduate Informations

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

    Special Undergraduate Information Special Undergraduate Information for SAGE A National Science Foundation Research Experiences for Undergraduates program Contacts Institute Director Reinhard Friedel-Los Alamos SAGE Co-Director W. Scott Baldridge-Los Alamos SAGE Co-Director Larry Braile-Purdue University Professional Staff Assistant Georgia Sanchez (505) 665-0855 Support to SAGE provides waiver of fees and a small stipend for attendance at SAGE for U.S. undergraduate students who are citizens or

  2. Estimating Fuel Cycle Externalities: Analytical Methods and Issues, Report 2

    SciTech Connect (OSTI)

    Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

    1994-07-01

    that also have not been fully addressed. This document contains two types of papers that seek to fill part of this void. Some of the papers describe analytical methods that can be applied to one of the five steps of the damage function approach. The other papers discuss some of the complex issues that arise in trying to estimate externalities. This report, the second in a series of eight reports, is part of a joint study by the U.S. Department of Energy (DOE) and the Commission of the European Communities (EC)* on the externalities of fuel cycles. Most of the papers in this report were originally written as working papers during the initial phases of this study. The papers provide descriptions of the (non-radiological) atmospheric dispersion modeling that the study uses; reviews much of the relevant literature on ecological and health effects, and on the economic valuation of those impacts; contains several papers on some of the more complex and contentious issues in estimating externalities; and describes a method for depicting the quality of scientific information that a study uses. The analytical methods and issues that this report discusses generally pertain to more than one of the fuel cycles, though not necessarily to all of them. The report is divided into six parts, each one focusing on a different subject area.

  3. Information technology resources assessment

    SciTech Connect (OSTI)

    Loken, S.C.

    1993-01-01

    The emphasis in Information Technology (IT) development has shifted from technology management to information management, and the tools of information management are increasingly at the disposal of end-users, people who deal with information. Moreover, the interactive capabilities of technologies such as hypertext, scientific visualization, virtual reality, video conferencing, and even database management systems have placed in the hands of users a significant amount of discretion over how these resources will be used. The emergence of high-performance networks, as well as network operating systems, improved interoperability, and platform independence of applications will eliminate technical barriers to the use of data, increase the power and range of resources that can be used cooperatively, and open up a wealth of possibilities for new applications. The very scope of these prospects for the immediate future is a problem for the IT planner or administrator. Technology procurement and implementation, integration of new technologies into the existing infrastructure, cost recovery and usage of networks and networked resources, training issues, and security concerns such as data protection and access to experiments are just some of the issues that need to be considered in the emerging IT environment. As managers we must use technology to improve competitiveness. When procuring new systems, we must take advantage of scalable resources. New resources such as distributed file systems can improve access to and efficiency of existing operating systems. In addition, we must assess opportunities to improve information worker productivity and information management through tedmologies such as distributed computational visualization and teleseminar applications.

  4. Process Equipment Cost Estimation, Final Report

    SciTech Connect (OSTI)

    H.P. Loh; Jennifer Lyons; Charles W. White, III

    2002-01-01

    This report presents generic cost curves for several equipment types generated using ICARUS Process Evaluator. The curves give Purchased Equipment Cost as a function of a capacity variable. This work was performed to assist NETL engineers and scientists in performing rapid, order of magnitude level cost estimates or as an aid in evaluating the reasonableness of cost estimates submitted with proposed systems studies or proposals for new processes. The specific equipment types contained in this report were selected to represent a relatively comprehensive set of conventional chemical process equipment types.

  5. CONTAMINATED SOIL VOLUME ESTIMATE TRACKING METHODOLOGY

    SciTech Connect (OSTI)

    Durham, L.A.; Johnson, R.L.; Rieman, C.; Kenna, T.; Pilon, R.

    2003-02-27

    The U.S. Army Corps of Engineers (USACE) is conducting a cleanup of radiologically contaminated properties under the Formerly Utilized Sites Remedial Action Program (FUSRAP). The largest cost element for most of the FUSRAP sites is the transportation and disposal of contaminated soil. Project managers and engineers need an estimate of the volume of contaminated soil to determine project costs and schedule. Once excavation activities begin and additional remedial action data are collected, the actual quantity of contaminated soil often deviates from the original estimate, resulting in cost and schedule impacts to the project. The project costs and schedule need to be frequently updated by tracking the actual quantities of excavated soil and contaminated soil remaining during the life of a remedial action project. A soil volume estimate tracking methodology was developed to provide a mechanism for project managers and engineers to create better project controls of costs and schedule. For the FUSRAP Linde site, an estimate of the initial volume of in situ soil above the specified cleanup guidelines was calculated on the basis of discrete soil sample data and other relevant data using indicator geostatistical techniques combined with Bayesian analysis. During the remedial action, updated volume estimates of remaining in situ soils requiring excavation were calculated on a periodic basis. In addition to taking into account the volume of soil that had been excavated, the updated volume estimates incorporated both new gamma walkover surveys and discrete sample data collected as part of the remedial action. A civil survey company provided periodic estimates of actual in situ excavated soil volumes. By using the results from the civil survey of actual in situ volumes excavated and the updated estimate of the remaining volume of contaminated soil requiring excavation, the USACE Buffalo District was able to forecast and update project costs and schedule. The soil volume

  6. Estimating vehicle height using homographic projections

    DOE Patents [OSTI]

    Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter

    2013-07-16

    Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.

  7. Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region

    SciTech Connect (OSTI)

    Poyer, D.A.; Teotia, A.P.S.

    1994-08-01

    The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

  8. Population Estimates for Chum Salmon Spawning in the Mainstem Columbia River, 2002 Technical Report.

    SciTech Connect (OSTI)

    Rawding, Dan; Hillson, Todd D.

    2003-11-15

    Accurate and precise population estimates of chum salmon (Oncorhynchus keta) spawning in the mainstem Columbia River are needed to provide a basis for informed water allocation decisions, to determine the status of chum salmon listed under the Endangered Species Act, and to evaluate the contribution of the Duncan Creek re-introduction program to mainstem spawners. Currently, mark-recapture experiments using the Jolly-Seber model provide the only framework for this type of estimation. In 2002, a study was initiated to estimate mainstem Columbia River chum salmon populations using seining data collected while capturing broodstock as part of the Duncan Creek re-introduction. The five assumptions of the Jolly-Seber model were examined using hypothesis testing within a statistical framework, including goodness of fit tests and secondary experiments. We used POPAN 6, an integrated computer system for the analysis of capture-recapture data, to obtain maximum likelihood estimates of standard model parameters, derived estimates, and their precision. A more parsimonious final model was selected using Akaike Information Criteria. Final chum salmon escapement estimates and (standard error) from seining data for the Ives Island, Multnomah, and I-205 sites are 3,179 (150), 1,269 (216), and 3,468 (180), respectively. The Ives Island estimate is likely lower than the total escapement because only the largest two of four spawning sites were sampled. The accuracy and precision of these estimates would improve if seining was conducted twice per week instead of weekly, and by incorporating carcass recoveries into the analysis. Population estimates derived from seining mark-recapture data were compared to those obtained using the current mainstem Columbia River salmon escapement methodologies. The Jolly-Seber population estimate from carcass tagging in the Ives Island area was 4,232 adults with a standard error of 79. This population estimate appears reasonable and precise but batch

  9. Multi-model Estimates of Intercontinental Source-Receptor Relationships for Ozone Pollution

    SciTech Connect (OSTI)

    Fiore, A M; Dentener, F J; Wild, O; Cuvelier, C; Schultz, M G; Hess, P; Textor, C; Schulz, M; Doherty, R; Horowitz, L W; MacKenzie, I A; Sanderson, M G; Shindell, D T; Stevenson, D S; Szopa, S; Van Dingenen, R; Zeng, G; Atherton, C; Bergmann, D; Bey, I; Carmichael, G; Collins, W J; Duncan, B N; Faluvegi, G; Folberth, G; Gauss, M; Gong, S; Hauglustaine, D; Holloway, T; Isaksen, I A; Jacob, D J; Jonson, J E; Kaminski, J W; Keating, T J; Lupu, A; Marmer, E; Montanaro, V; Park, R; Pitari, G; Pringle, K J; Pyle, J A; Schroeder, S; Vivanco, M G; Wind, P; Wojcik, G; Wu, S; Zuber, A

    2008-10-16

    , and by the weaker relative response of annual incidences of daily maximum 8-hour average O{sub 3} above 60 ppb to emission reductions in a foreign region (<10-20% of that to domestic) as compared to the annual mean response (up to 50% of that to domestic). Applying the ensemble annual mean results to changes in anthropogenic emissions from 1996 to 2002, we estimate a Northern Hemispheric increase in background surface O{sub 3} of about 0.1 ppb yr{sup -1}, at the low end of the 0.1-0.5 ppb yr{sup -1} derived from observations. From an additional simulation in which global atmospheric methane was reduced, we infer that 20% reductions in anthropogenic methane emissions from a foreign source region would yield an O{sub 3} response in a receptor region that roughly equals that produced by combined 20% reductions of anthropogenic NO{sub x}, NMVOC and CO emissions from the foreign source region.

  10. Estimated Carbon Dioxide Emissions in 2008: United States

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-04-01

    Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary

  11. Calculating fairness. [Estimating fair return on equity for public utilities

    SciTech Connect (OSTI)

    Makholm, J.D.; Sander, D.O. )

    1993-11-15

    Despite the recent restructuring, unbundling, competition, and incentive regulation that has complicated the utility business, estimating the fair rate of return on equity (ROE) remains an important part of public utility base rate cases. For the past two decades, the two most popular methods that regulatory commissions have used for estimating the cost of equity capital for regulated utilities have been the dividend discount method (known as the Discounted Cash Flow model of DCF) and the Capital Asset Pricing Model (or CAPM). Both models use common stock price behavior to draw inferences about the cost of equity. The DCF combines a stock's dividend yield and its predicted dividend growth rate. The CAPM relates changes in a stock's price to changes in the overall market for security prices. These methods have come into question, however, as utilities have increasingly diversified into unregulated activities. When a utility's regulated activities account for 95 to 99 percent of its revenues, there is little practical need to question that its company-specific cost-of-equity capital is overwhelmingly dominated by its regulated activities. But as this percentage continues to decrease, a company's specific cost of equity, as calculated by the DCF or CAPM, is influenced to a larger degree by its unregulated subsidiaries. Two general remedies are available to resolve the problem of setting the fair ROE when the company has substantial holdings in unregulated subsidiaries. One is to abandon (either partially or fully) the practice of using company-specific market information and use a proxy group of comparable utilities instead. The other is to continue using company-specific data, but to adjust the resulting estimates to account for the utility's diversification activity.

  12. Adaptive error covariances estimation methods for ensemble Kalman filters

    SciTech Connect (OSTI)

    Zhen, Yicun; Harlim, John

    2015-08-01

    This paper presents a computationally fast algorithm for estimating, both, the system and observation noise covariances of nonlinear dynamics, that can be used in an ensemble Kalman filtering framework. The new method is a modification of Belanger's recursive method, to avoid an expensive computational cost in inverting error covariance matrices of product of innovation processes of different lags when the number of observations becomes large. When we use only product of innovation processes up to one-lag, the computational cost is indeed comparable to a recently proposed method by Berry–Sauer's. However, our method is more flexible since it allows for using information from product of innovation processes of more than one-lag. Extensive numerical comparisons between the proposed method and both the original Belanger's and Berry–Sauer's schemes are shown in various examples, ranging from low-dimensional linear and nonlinear systems of SDEs and 40-dimensional stochastically forced Lorenz-96 model. Our numerical results suggest that the proposed scheme is as accurate as the original Belanger's scheme on low-dimensional problems and has a wider range of more accurate estimates compared to Berry–Sauer's method on L-96 example.

  13. Estimating the uncertainty in underresolved nonlinear dynamics

    SciTech Connect (OSTI)

    Chorin, Alelxandre; Hald, Ole

    2013-06-12

    The Mori-Zwanzig formalism of statistical mechanics is used to estimate the uncertainty caused by underresolution in the solution of a nonlinear dynamical system. A general approach is outlined and applied to a simple example. The noise term that describes the uncertainty turns out to be neither Markovian nor Gaussian. It is argued that this is the general situation.

  14. Guidelines for Estimating Unmetered Landscaping Water Use

    SciTech Connect (OSTI)

    McMordie Stoughton, Kate

    2010-07-28

    The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy one-stop-shop for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.

  15. DOE Zero Energy Ready Home Savings and Cost Estimate Summary...

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

    Savings and Cost Estimate Summary DOE Zero Energy Ready Home Savings and Cost Estimate Summary The U.S. Department of Energy Zero Energy Ready Home Savings and Cost Estimate ...

  16. Energy information directory 1997

    SciTech Connect (OSTI)

    1997-09-01

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, state, and local governments, the academic community, business and industrial organizations, and the general public. The two principal functions related to this task are: (1) operating a general access telephone line, and (2) responding to energy-related correspondence addressed to the Energy Information Administration (EIA). The Energy Information Directory was developed to assist the NEIC staff, as well as other Department of Energy (DOE) staff, in directing inquiries to the proper offices within DOE, other Federal agencies, or energy-related trade associations. The Directory lists some of the Government offices and trade associations that are involved in energy matters. It includes those DOE offices which deal with the public or public information. For the purposes of this publication, each entry has been given a numeric identification symbol. The index found in the back of this publication uses these identification numbers to refer the reader to relevant entries.

  17. Total Estimated Contract Cost: Performance Period

    Office of Environmental Management (EM)

    FY2012 Fee Information Minimum Fee Maximum Fee September 2015 Contract Number: Cost Plus Incentive Fee Contractor: 3,264,909,094 Contract Period: EM Contractor Fee s Idaho...

  18. Time Adaptive Conditional Kernel Density Estimation for Wind...

    Office of Scientific and Technical Information (OSTI)

    Time Adaptive Conditional Kernel Density Estimation for Wind Power Forecasting Citation Details In-Document Search Title: Time Adaptive Conditional Kernel Density Estimation for ...

  19. Estimating Carbon Supply Curves for Global Forests and Other...

    Open Energy Info (EERE)

    Estimating Carbon Supply Curves for Global Forests and Other Land Uses Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating Carbon Supply Curves for Global Forests...

  20. A Review of Cost Estimation in New Technologies - Implications...

    Energy Savers [EERE]

    A Review of Cost Estimation in New Technologies - Implications for Energy Process Plants A Review of Cost Estimation in New Technologies - Implications for Energy Process Plants ...

  1. Error Estimation for Fault Tolerance in Numerical Integration...

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

    Error Estimation for Fault Tolerance in Numerical Integration Solvers Event Sponsor: ... In numerical integration solvers, approximation error can be estimated at a low cost. We ...

  2. Process Equipment Cost Estimation, Final Report (Technical Report...

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

    Process Equipment Cost Estimation, Final Report Citation Details In-Document Search Title: Process Equipment Cost Estimation, Final Report You are accessing a document from the ...

  3. Estimating the Impact (Energy, Emissions and Economics) of the...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry Citation Details In-Document Search Title: Estimating the Impact (Energy, ...

  4. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop -...

  5. Contribution to the development of DOE ARM Climate Best Estimate...

    Office of Scientific and Technical Information (OSTI)

    Contribution to the development of DOE ARM Climate Best Estimate Data (ARMBE) products: ... Title: Contribution to the development of DOE ARM Climate Best Estimate Data (ARMBE) ...

  6. Estimating the system price of redox flow batteries for grid...

    Office of Scientific and Technical Information (OSTI)

    Estimating the system price of redox flow batteries for grid storage Citation Details ... Title: Estimating the system price of redox flow batteries for grid storage Authors: Ha, ...

  7. Property:Number of Plants included in Capacity Estimate | Open...

    Open Energy Info (EERE)

    Plants included in Capacity Estimate Jump to: navigation, search Property Name Number of Plants included in Capacity Estimate Property Type Number Retrieved from "http:...

  8. Property:Number of Plants Included in Planned Estimate | Open...

    Open Energy Info (EERE)

    Number of Plants Included in Planned Estimate Jump to: navigation, search Property Name Number of Plants Included in Planned Estimate Property Type String Description Number of...

  9. Estimating Costs and Efficiency of Storage, Demand, and Heat...

    Energy Savers [EERE]

    Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's ...

  10. ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary...

    Office of Scientific and Technical Information (OSTI)

    Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1) Title: ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1) ...

  11. Estimation of Anisotoropy from Total Cross Section and Optical...

    Office of Scientific and Technical Information (OSTI)

    Conference: Estimation of Anisotoropy from Total Cross Section and Optical Model Citation Details In-Document Search Title: Estimation of Anisotoropy from Total Cross Section and ...

  12. The ARM Best Estimate 2-dimensional Gridded Surface (Dataset...

    Office of Scientific and Technical Information (OSTI)

    2-dimensional Gridded Surface Title: The ARM Best Estimate 2-dimensional Gridded Surface The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together ...

  13. Report Now Available: DC Microgrids Scoping Study--Estimate of...

    Office of Environmental Management (EM)

    Report Now Available: DC Microgrids Scoping Study--Estimate of Technical and Economic Benefits (March 2015) Report Now Available: DC Microgrids Scoping Study--Estimate of Technical ...

  14. A Review of Geothermal Resource Estimation Methodology | Open...

    Open Energy Info (EERE)

    Geothermal Resource Estimation Methodology Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: A Review of Geothermal Resource Estimation...

  15. Error estimates for fission neutron outputs (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Error estimates for fission neutron outputs Citation Details In-Document Search Title: Error estimates for fission neutron outputs You are accessing a document from the...

  16. Sandia Proprietary Information PII

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

    CBR (09/2014) Supersedes (07-2013) Issue Sandia Proprietary Information PII 1 Sandia Proprietary Information CALIFORNIA CONSULTANT PRE-PROCESSING BACKGROUND REVIEW You are receiving this notice on behalf of the Personnel Security Background Review Office. If you have any questions regarding the Background Review process, or the attached form. Contact the Personnel Security Background Review Office at 1-800-417-2634, ext. 844-8902 or (505) 844-8902 or email: pebr@sandia.gov. In compliance with 48

  17. Sandia Proprietary Information PII

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

    PRO (09-2014) Supersedes (09-2013) Issue Sandia Proprietary Information PII 1 Sandia Proprietary Information NM CONSULTANT PRE-PROCESSING BACKGROUND REVIEW You are receiving this notice on behalf of the Personnel Security Background Review Office. If you have any questions regarding the Background Review process, or the attached form. Contact the Personnel Security Background Review Office at 1-800-417-2634, ext. 844-8902 or (505) 844-8902. In compliance with 48 CFR 904.401 prior to selecting

  18. Information Resources | Department of Energy

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

    Information Resources Information Resources Information Resources Photo of NREL employee Michael Deru using a desktop computer. The Geothermal Technologies Office is a source of current, relevant information about enhanced geothermal systems (EGS) technologies and other geothermal technologies and applications. On these pages you'll find helpful publications, software, and websites for the geothermal community and stakeholders. Geothermal information resources Publications Technical Roadmaps for

  19. Honokowai Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    -156.60912475586 Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  20. Teels Marsh Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  1. Molokai Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    -156.86867675781 Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  2. Flint Geothermal Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  3. Jemez Mountain Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  4. Rhodes Marsh Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  5. Glass Buttes Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  6. Truckhaven Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  7. Blackfoot Reservoir Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  8. Kilauea Summit Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  9. Fort Bliss Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  10. Sauerlach Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    11.667261505127 Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  11. Haleakala Volcano Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  12. White Mountains Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  13. Kawaihae Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  14. Mt Rainier Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    -121.75128794312 Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  15. Mokapu Penninsula Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  16. Kauai Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    -159.52462158203 Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  17. Obsidian Cliff Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  18. Marysville Mt Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  19. Redfield Campus Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  20. Lester Meadow Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  1. Kilauea Summit Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  2. Jemez Pueblo Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  3. Rangely Oilfield Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  4. Mokapu Penninsula Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  5. Florida Mountains Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  6. Flint Geothermal Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  7. Twilight Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean Capacity: Click "Edit With...

  8. Blackfoot Reservoir Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    GEA Development Phase: Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: USGS Mean Reservoir Temp: USGS Estimated Reservoir Volume: USGS Mean...

  9. Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use

    SciTech Connect (OSTI)

    Zhou, Yuyu; Weng, Qihao; Gurney, Kevin R.; Shuai, Yanmin; Hu, Xuefei

    2012-01-01

    This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from residential and commercial buildings across multiple scales in the city of Indianapolis, Indiana, USA. Anthropogenic heat discharge was estimated based on a remote sensing-based surface energy balance model, which was parameterized using land cover, land surface temperature, albedo, and meteorological data. Building energy use was estimated using a GIS-based building energy simulation model in conjunction with Department of Energy/ Energy Information Administration survey data, Assessor's parcel data, GIS floor areas data, and remote sensing-derived building height data.

  10. The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set

    SciTech Connect (OSTI)

    Qi,Tang; Xie,Shaocheng

    2015-08-06

    The ARM Best Estimate Station-based Surface (ARMBESTNS) data set merges together key surface measurements from the Southern Great Plains (SGP) sites. It is a twin data product of the ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set. Unlike the 2DGRID data set, the STNS data are reported at the original site locations and show the original information, except for the interpolation over time. Therefore, users have the flexibility to process the data with the approach more suitable for their applications.

  11. US Energy Information Administration EIA | Open Energy Information

    Open Energy Info (EERE)

    Administration EIA Jump to: navigation, search Name: US Energy Information Administration (EIA) Place: Washington DC, Washington, DC Zip: 20585 Product: The Energy Information...

  12. Utah Water Right Information Webpage | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Utah Water Right Information Webpage Abstract Provides information about obtaining a water rights...

  13. NMSLO Information Packet for Business Lease | Open Energy Information

    Open Energy Info (EERE)

    Information Packet for Business Lease Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: NMSLO Information Packet for Business...

  14. Smart Grid Information Clearinghouse (SGIC) | Open Energy Information

    Open Energy Info (EERE)

    TOOL Name: Smart Grid Information Clearinghouse (SGIC) AgencyCompany Organization: Smart Grid Information Clearinghouse Sector: Energy Focus Area: People and Policy Phase:...

  15. Security of Foreign Intelligence Information and Sensitive Compartmented Information Facilities

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1993-07-23

    The order establishes responsibilities and authorities for protecting Foreign Intelligence Information (FII) and Sensitive Compartmented Information Facilities (SCIFs) within DOE. Supersedes DOE 5639.8.

  16. Combined Estimation of Hydrogeologic Conceptual Model and Parameter Uncertainty

    SciTech Connect (OSTI)

    Meyer, Philip D.; Ye, Ming; Neuman, Shlomo P.; Cantrell, Kirk J.

    2004-03-01

    The objective of the research described in this report is the development and application of a methodology for comprehensively assessing the hydrogeologic uncertainties involved in dose assessment, including uncertainties associated with conceptual models, parameters, and scenarios. This report describes and applies a statistical method to quantitatively estimate the combined uncertainty in model predictions arising from conceptual model and parameter uncertainties. The method relies on model averaging to combine the predictions of a set of alternative models. Implementation is driven by the available data. When there is minimal site-specific data the method can be carried out with prior parameter estimates based on generic data and subjective prior model probabilities. For sites with observations of system behavior (and optionally data characterizing model parameters), the method uses model calibration to update the prior parameter estimates and model probabilities based on the correspondence between model predictions and site observations. The set of model alternatives can contain both simplified and complex models, with the requirement that all models be based on the same set of data. The method was applied to the geostatistical modeling of air permeability at a fractured rock site. Seven alternative variogram models of log air permeability were considered to represent data from single-hole pneumatic injection tests in six boreholes at the site. Unbiased maximum likelihood estimates of variogram and drift parameters were obtained for each model. Standard information criteria provided an ambiguous ranking of the models, which would not justify selecting one of them and discarding all others as is commonly done in practice. Instead, some of the models were eliminated based on their negligibly small updated probabilities and the rest were used to project the measured log permeabilities by kriging onto a rock volume containing the six boreholes. These four

  17. Condition Assessment Information System

    Energy Science and Technology Software Center (OSTI)

    2002-09-16

    CAIS2000 records, tracks and cost maintenance deficiencies associated with condition assessments of real property assets. Cost information is available for 39,000 items in the currenht RS Means, Facilities Construction Manual. These costs can, in turn, be rolled by by asset to produce the summary condition of an asset or site.

  18. Information Technology Project Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2008-09-12

    This Guide provides Department of Energy recommended guidelines to ensure that the acquisition of information technology capital assets is performed in compliance with DOE O 413.3A, Program and Project Management for the Acquisition of Capital Assets, dated 7-28-06. Canceled by DOE N 251.105.

  19. Accident management information needs

    SciTech Connect (OSTI)

    Hanson, D.J.; Ward, L.W.; Nelson, W.R.; Meyer, O.R. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

    1990-04-01

    In support of the US Nuclear Regulatory Commission (NRC) Accident Management Research Program, a methodology has been developed for identifying the plant information needs necessary for personnel involved in the management of an accident to diagnose that an accident is in progress, select and implement strategies to prevent or mitigate the accident, and monitor the effectiveness of these strategies. This report describes the methodology and presents an application of this methodology to a Pressurized Water Reactor (PWR) with a large dry containment. A risk-important severe accident sequence for a PWR is used to examine the capability of the existing measurements to supply the necessary information. The method includes an assessment of the effects of the sequence on the measurement availability including the effects of environmental conditions. The information needs and capabilities identified using this approach are also intended to form the basis for more comprehensive information needs assessment performed during the analyses and development of specific strategies for use in accident management prevention and mitigation. 3 refs., 16 figs., 7 tabs.

  20. Small Wind Information (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01

    The U.S. Department of Energy's Wind Powering America initiative maintains a website section devoted to information about small wind turbines for homeowners, ranchers, and small businesses. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to this online resource.

  1. Information Services Directory

    SciTech Connect (OSTI)

    1991-03-01

    Congress passed the Nuclear Waste Policy Act of 1982 (NWPA) and its amendments establishing the national policy for safely storing, transporting and disposing of spent nuclear fuel and high-level radioactive waste in a geologic repository. This legislation created the Office of Civilian Radioactive Waste Management (OCRWM) within the US Department of Energy (DOE) to develop an integrated system for the safe and efficient disposal of high-level radioactive waste. The NWPA, as amended, directs DOE to study in detail the Yucca Mountain site in Nevada as the only candidate site for the Nation`s geologic repository. This Information Services Directory is intended to facilitate dissemination of information. The Directory is produced by the Education and Information Division of OCRWM`s Office of External Relations and will be updated periodically. This is the third such update since its issuance in August 1986. It is a reference document that lists the sources of program information available to states, Indian tribes, and the public.

  2. Information Collection Management Program

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2006-10-11

    This Order sets forth DOE requirements and responsibilities for implementing the information collection management provisions of the Paperwork Reduction Act of 1995 and the Office of Management and Budgets implementing regulation Controlling Paperwork Burdens on the Public, as contained in 5 CFR 1320. No cancellation.

  3. A BIM-based system for demolition and renovation waste estimation and planning

    SciTech Connect (OSTI)

    Cheng, Jack C.P., E-mail: cejcheng@ust.hk [Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology (Hong Kong); Ma, Lauren Y.H., E-mail: yingzi@ust.hk [Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology (Hong Kong)

    2013-06-15

    Highlights: ? We developed a waste estimation system leveraging the BIM technology. ? The system can calculate waste disposal charging fee and pick-up truck demand. ? We presented an example scenario demonstrating this system. ? Automatic, time-saving and wide applicability are the features of the system. - Abstract: Due to the rising worldwide awareness of green environment, both government and contractors have to consider effective construction and demolition (C and D) waste management practices. The last two decades have witnessed the growing importance of demolition and renovation (D and R) works and the growing amount of D and R waste disposed to landfills every day, especially in developed cities like Hong Kong. Quantitative waste prediction is crucial for waste management. It can enable contractors to pinpoint critical waste generation processes and to plan waste control strategies. In addition, waste estimation could also facilitate some government waste management policies, such as the waste disposal charging scheme in Hong Kong. Currently, tools that can accurately and conveniently estimate the amount of waste from construction, renovation, and demolition projects are lacking. In the light of this research gap, this paper presents a building information modeling (BIM) based system that we have developed for estimation and planning of D and R waste. BIM allows multi-disciplinary information to be superimposed within one digital building model. Our system can extract material and volume information through the BIM model and integrate the information for detailed waste estimation and planning. Waste recycling and reuse are also considered in our system. Extracted material information can be provided to recyclers before demolition or renovation to make recycling stage more cooperative and more efficient. Pick-up truck requirements and waste disposal charging fee for different waste facilities will also be predicted through our system. The results could

  4. CosmoSIS: Modular cosmological parameter estimation

    SciTech Connect (OSTI)

    Zuntz, J.; Paterno, M.; Jennings, E.; Rudd, D.; Manzotti, A.; Dodelson, S.; Bridle, S.; Sehrish, S.; Kowalkowski, J.

    2015-06-09

    Cosmological parameter estimation is entering a new era. Large collaborations need to coordinate high-stakes analyses using multiple methods; furthermore such analyses have grown in complexity due to sophisticated models of cosmology and systematic uncertainties. In this paper we argue that modularity is the key to addressing these challenges: calculations should be broken up into interchangeable modular units with inputs and outputs clearly defined. Here we present a new framework for cosmological parameter estimation, CosmoSIS, designed to connect together, share, and advance development of inference tools across the community. We describe the modules already available in CosmoSIS, including CAMB, Planck, cosmic shear calculations, and a suite of samplers. Lastly, we illustrate it using demonstration code that you can run out-of-the-box with the installer available at http://bitbucket.org/joezuntz/cosmosis

  5. CosmoSIS: Modular cosmological parameter estimation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zuntz, J.; Paterno, M.; Jennings, E.; Rudd, D.; Manzotti, A.; Dodelson, S.; Bridle, S.; Sehrish, S.; Kowalkowski, J.

    2015-06-09

    Cosmological parameter estimation is entering a new era. Large collaborations need to coordinate high-stakes analyses using multiple methods; furthermore such analyses have grown in complexity due to sophisticated models of cosmology and systematic uncertainties. In this paper we argue that modularity is the key to addressing these challenges: calculations should be broken up into interchangeable modular units with inputs and outputs clearly defined. Here we present a new framework for cosmological parameter estimation, CosmoSIS, designed to connect together, share, and advance development of inference tools across the community. We describe the modules already available in CosmoSIS, including CAMB, Planck, cosmicmore » shear calculations, and a suite of samplers. Lastly, we illustrate it using demonstration code that you can run out-of-the-box with the installer available at http://bitbucket.org/joezuntz/cosmosis« less

  6. Numerical Estimation of the Spent Fuel Ratio

    SciTech Connect (OSTI)

    Lindgren, Eric R.; Durbin, Samuel; Wilke, Jason; Margraf, J.; Dunn, T. A.

    2016-01-01

    Sabotage of spent nuclear fuel casks remains a concern nearly forty years after attacks against shipment casks were first analyzed and has a renewed relevance in the post-9/11 environment. A limited number of full-scale tests and supporting efforts using surrogate materials, typically depleted uranium dioxide (DUO 2 ), have been conducted in the interim to more definitively determine the source term from these postulated events. However, the validity of these large- scale results remain in question due to the lack of a defensible spent fuel ratio (SFR), defined as the amount of respirable aerosol generated by an attack on a mass of spent fuel compared to that of an otherwise identical surrogate. Previous attempts to define the SFR in the 1980's have resulted in estimates ranging from 0.42 to 12 and include suboptimal experimental techniques and data comparisons. Because of the large uncertainty surrounding the SFR, estimates of releases from security-related events may be unnecessarily conservative. Credible arguments exist that the SFR does not exceed a value of unity. A defensible determination of the SFR in this lower range would greatly reduce the calculated risk associated with the transport and storage of spent nuclear fuel in dry cask systems. In the present work, the shock physics codes CTH and ALE3D were used to simulate spent nuclear fuel (SNF) and DUO 2 targets impacted by a high-velocity jet at an ambient temperature condition. These preliminary results are used to illustrate an approach to estimate the respirable release fraction for each type of material and ultimately, an estimate of the SFR. This page intentionally blank

  7. Low-Temperature Hydrothermal Resource Potential Estimate

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

    Katherine Young

    2016-06-30

    Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessible resource base, mean extractable resource and beneficial heat. Data compiled from USGS and other sources. The paper (submitted to GRC 2016) describing the methodology and analysis is also included.

  8. Knowledge Based Estimation of Material Release Transients

    Energy Science and Technology Software Center (OSTI)

    1998-07-29

    KBERT is an easy to use desktop decision support tool for estimating public and in-facility worker doses and consequences of radioactive material releases in non-reactort nuclear facilities. It automatically calculates release and respirable fractions based on published handbook data, and calculates material transport concurrently with personnel evacuation simulations. Any facility layout can be modeled easily using the intuitive graphical user interface.

  9. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  10. Generalized REGression Package for Nonlinear Parameter Estimation

    Energy Science and Technology Software Center (OSTI)

    1995-05-15

    GREG computes modal (maximum-posterior-density) and interval estimates of the parameters in a user-provided Fortran subroutine MODEL, using a user-provided vector OBS of single-response observations or matrix OBS of multiresponse observations. GREG can also select the optimal next experiment from a menu of simulated candidates, so as to minimize the volume of the parametric inference region based on the resulting augmented data set.

  11. Budget estimates fiscal year 1995: Volume 10

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    This report contains the Nuclear Regulatory Commission (NRC) fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1995. The NRC 1995 budget request is $546,497,000. This is an increase of $11,497,000 above the proposed level for FY 1994. The NRC FY 1995 budget request is 3,218 FTEs. This is a decrease of 75 FTEs below the 1994 proposed level.

  12. Communications circuit including a linear quadratic estimator

    DOE Patents [OSTI]

    Ferguson, Dennis D.

    2015-07-07

    A circuit includes a linear quadratic estimator (LQE) configured to receive a plurality of measurements a signal. The LQE is configured to weight the measurements based on their respective uncertainties to produce weighted averages. The circuit further includes a controller coupled to the LQE and configured to selectively adjust at least one data link parameter associated with a communication channel in response to receiving the weighted averages.

  13. Incorporating a Time Horizon in Rate-of-Return Estimations: Discounted Cash Flow Model in Electric Transmission Rate Cases

    SciTech Connect (OSTI)

    Chatterjee, Bishu; Sharp, Peter A.

    2006-07-15

    Electric transmission and other rate cases use a form of the discounted cash flow model with a single long-term growth rate to estimate rates of return on equity. It cannot incorporate information about the appropriate time horizon for which analysts' estimates of earnings growth have predictive powers. Only a non-constant growth model can explicitly recognize the importance of the time horizon in an ROE calculation. (author)

  14. Energy information sheets, July 1998

    SciTech Connect (OSTI)

    1998-07-01

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the public. The Energy Information Sheets was developed to provide general information on various aspects of fuel production, prices, consumption, and capability. Additional information on related subject matter can be found in other Energy Information Administration (EIA) publications as referenced at the end of each sheet.

  15. Energy information sheets, September 1996

    SciTech Connect (OSTI)

    1996-09-01

    The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the public. The Energy Information Sheets was developed to provide general information on various aspects of fuel production, prices, consumption, and capability. Additional information on related subject matter can be found in other Energy Information Administration (EIA) publications as referenced at the end of each sheet.

  16. TRENDS IN ESTIMATED MIXING DEPTH DAILY MAXIMUMS

    SciTech Connect (OSTI)

    Buckley, R; Amy DuPont, A; Robert Kurzeja, R; Matt Parker, M

    2007-11-12

    Mixing depth is an important quantity in the determination of air pollution concentrations. Fireweather forecasts depend strongly on estimates of the mixing depth as a means of determining the altitude and dilution (ventilation rates) of smoke plumes. The Savannah River United States Forest Service (USFS) routinely conducts prescribed fires at the Savannah River Site (SRS), a heavily wooded Department of Energy (DOE) facility located in southwest South Carolina. For many years, the Savannah River National Laboratory (SRNL) has provided forecasts of weather conditions in support of the fire program, including an estimated mixing depth using potential temperature and turbulence change with height at a given location. This paper examines trends in the average estimated mixing depth daily maximum at the SRS over an extended period of time (4.75 years) derived from numerical atmospheric simulations using two versions of the Regional Atmospheric Modeling System (RAMS). This allows for differences to be seen between the model versions, as well as trends on a multi-year time frame. In addition, comparisons of predicted mixing depth for individual days in which special balloon soundings were released are also discussed.

  17. Estimating Small-area Populations by Age and Sex Using Spatial Interpolation and Statistical Inference Methods

    SciTech Connect (OSTI)

    Qai, Qiang; Rushton, Gerald; Bhaduri, Budhendra L; Bright, Eddie A; Coleman, Phil R

    2006-01-01

    The objective of this research is to compute population estimates by age and sex for small areas whose boundaries are different from those for which the population counts were made. In our approach, population surfaces and age-sex proportion surfaces are separately estimated. Age-sex population estimates for small areas and their confidence intervals are then computed using a binomial model with the two surfaces as inputs. The approach was implemented for Iowa using a 90 m resolution population grid (LandScan USA) and U.S. Census 2000 population. Three spatial interpolation methods, the areal weighting (AW) method, the ordinary kriging (OK) method, and a modification of the pycnophylactic method, were used on Census Tract populations to estimate the age-sex proportion surfaces. To verify the model, age-sex population estimates were computed for paired Block Groups that straddled Census Tracts and therefore were spatially misaligned with them. The pycnophylactic method and the OK method were more accurate than the AW method. The approach is general and can be used to estimate subgroup-count types of variables from information in existing administrative areas for custom-defined areas used as the spatial basis of support in other applications.

  18. Freedom of Information Act Response

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

    for information that you made to the Bonneville Power Administration (BPA) under the Freedom of Information Act (FOIA), 5 USC 552. You requested the following: Copies of all...

  19. Vehicle Technologies Office: Information Resources

    Broader source: Energy.gov [DOE]

    From here you can access additional information on advanced transportation technologies; view programmatic publications and technical information; learn the basics of hybrid vehicle technology;...

  20. Information Science, Computing, Applied Math

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

    Information Science, Computing, Applied Math Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los ...

  1. Information Technology Specialist (Info Security)

    Broader source: Energy.gov [DOE]

    (See Frequently Asked Questions for more information). Where would I be working? Western Area Power Administration, Corporate Services Office, Office of the Chief Information Officer, Cyber...

  2. Las Pailas | Open Energy Information

    Open Energy Info (EERE)

    General Information Name Las Pailas Facility Geothermal Power Plant Sector Geothermal energy Location Information Location Guanacaste, Costa Rice Coordinates 10.7869295,...

  3. Malitbog GEPP | Open Energy Information

    Open Energy Info (EERE)

    GEPP General Information Name Malitbog GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 11.151315086646, 124.64890480042 Loading map......

  4. Bruchsal GEPP | Open Energy Information

    Open Energy Info (EERE)

    GEPP General Information Name Bruchsal GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 49.125177630171, 8.5671043395996 Loading map......

  5. Lahendong GEPP | Open Energy Information

    Open Energy Info (EERE)

    GEPP General Information Name Lahendong GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 1.3235343193864, 124.83073711395 Loading map......

  6. Landau GEPP | Open Energy Information

    Open Energy Info (EERE)

    GEPP General Information Name Landau GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 49.186587726033, 8.1233596801758 Loading map......

  7. Miravalles IV | Open Energy Information

    Open Energy Info (EERE)

    Information Name Miravalles IV Facility Geothermal Power Plant Sector Geothermal energy Location Information Coordinates 10.5251574, -85.254136 Loading map......

  8. Mindanao GEPP | Open Energy Information

    Open Energy Info (EERE)

    GEPP General Information Name Mindanao GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 7.0161091018815, 125.22165298462 Loading map......

  9. Blumau GEPP | Open Energy Information

    Open Energy Info (EERE)

    GEPP General Information Name Blumau GEPP Facility Power Plant Sector Geothermal energy Location Information Address Blumau, Austria Coordinates 47.124360162625,...

  10. Mambucal GEPP | Open Energy Information

    Open Energy Info (EERE)

    GEPP General Information Name Mambucal GEPP Facility Power Plant Sector Geothermal energy Location Information Coordinates 10.483002547448, 123.10599088669 Loading map......

  11. Green Machine | Open Energy Information

    Open Energy Info (EERE)

    Information Name Green Machine Facility Geothermal Power Plant Sector Geothermal energy Location Information Coordinates 45.943161, 24.96676 Loading map......

  12. TR1 | Open Energy Information

    Open Energy Info (EERE)

    TR1 General Information Name TR1 Facility Geothermal Power Plant Sector Geothermal energy Location Information Coordinates 38.342452711329, 28.556900024414 Loading map......

  13. Hydrogen Station Cost Estimates: Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates

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

    Hydrogen Station Cost Estimates Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates M. Melaina and M. Penev National Renewable Energy Laboratory Technical Report NREL/TP-5400-56412 September 2013 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at

  14. Mercury Information Clearinghouse

    SciTech Connect (OSTI)

    Chad A. Wocken; Michael J. Holmes; Dennis L. Laudal; Debra F. Pflughoeft-Hassett; Greg F. Weber; Nicholas V. C. Ralston; Stanley J. Miller; Grant E. Dunham; Edwin S. Olson; Laura J. Raymond; John H. Pavlish; Everett A. Sondreal; Steven A. Benson

    2006-03-31

    The Canadian Electricity Association (CEA) identified a need and contracted the Energy & Environmental Research Center (EERC) to create and maintain an information clearinghouse on global research and development activities related to mercury emissions from coal-fired electric utilities. With the support of CEA, the Center for Air Toxic Metals{reg_sign} (CATM{reg_sign}) Affiliates, and the U.S. Department of Energy (DOE), the EERC developed comprehensive quarterly information updates that provide a detailed assessment of developments in the various areas of mercury monitoring, control, policy, and research. A total of eight topical reports were completed and are summarized and updated in this final CEA quarterly report. The original quarterly reports can be viewed at the CEA Web site (www.ceamercuryprogram.ca). In addition to a comprehensive update of previous mercury-related topics, a review of results from the CEA Mercury Program is provided. Members of Canada's coal-fired electricity generation sector (ATCO Power, EPCOR, Manitoba Hydro, New Brunswick Power, Nova Scotia Power Inc., Ontario Power Generation, SaskPower, and TransAlta) and CEA, have compiled an extensive database of information from stack-, coal-, and ash-sampling activities. Data from this effort are also available at the CEA Web site and have provided critical information for establishing and reviewing a mercury standard for Canada that is protective of environment and public health and is cost-effective. Specific goals outlined for the CEA mercury program included the following: (1) Improve emission inventories and develop management options through an intensive 2-year coal-, ash-, and stack-sampling program; (2) Promote effective stack testing through the development of guidance material and the support of on-site training on the Ontario Hydro method for employees, government representatives, and contractors on an as-needed basis; (3) Strengthen laboratory analytical capabilities through

  15. The Soviet applied information sciences in a time of change

    SciTech Connect (OSTI)

    Bengston, J.; Cronin, R.R.; Davidson, R.B.

    1991-07-01

    The Foreign Applied Sciences Assessment Center (FASAC) conducts reviews of selected areas of foreign basic and applied science by US scientists who are technically expert and active in the fields reviewed. Several of the FASAC assessments of Soviet science have involved various aspects of the information sciences, including enabling technologies and applications, as well as the core information sciences. This report draws upon those FASAC assessment reports, the expert judgment of some of the authors of those reports, and other public sources to characterize the current state of the information sciences in the Soviet Union and the effects of information science capabilities upon other areas of Soviet science and technology. This report also provides estimates of the likely effect of the political and social reforms underway in the Soviet Union on future Soviet progress in the information sciences and, at a more general level, in science and technology. 41 refs., 7 tabs.

  16. WINDExchange: Information Resources

    Wind Powering America (EERE)

    Information Resources A range of WINDExchange resources are available, including links to relevant publications, podcasts, and webinars about wind energy topics. Annual Reports Screenshot of the 2015 Wind Technologies Market Report 2015 Wind Technologies Market Report The report provides a comprehensive overview of 2015 trends in the U.S. wind industry and wind power market. Lawrence Berkeley National Laboratory draws from a variety of data sources and covers a broad range of topics. Screenshot

  17. SOURCE SELECTION INFORMATION -

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

    SOURCE SELECTION INFORMATION - SEE FEDERAL ACQUISITION REGULATION (FAR) 2.101 AND 3.104 Department of Energy Washington, DC 20585 (enter date here, centered revised template April 26, 2013) The Honorable Harold Rogers The Honorable Barbara A. Mikulski Chairman, Committee on Appropriations Chairwoman, Committee on Appropriations U.S. House of Representatives U.S. Senate Washington, DC 20515 Washington, DC 20510 The Honorable Rodney P. Frelinghuysen The Honorable Dianne Feinstein Chairman,

  18. 2016 Information Repository Documents

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

    6 Information Repository Documents WIPP Annual Waste Minimization Report Class 1* Permit Modifications and NMED Responses Class 1 and Class 1* Modifications WIPP Hazardous Waste Facility Permit EPA I.D. Number NM4890139088-TSDF John E. Kieling/Hazardous Waste Bureau dated January 27, 2016 Class 1* Modification, requiring prior agency approval, seeking to Revise Closure Schedule Dates in Attachment G Class 1 Permit Modifications and NMED Responses Class 1 Modifications WIPP Hazardous Waste

  19. WIPP Stakeholder Information Page

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

    6 WIPP Stakeholder Information Documents Closure of Underground Hazardous Waste Disposal Unit Submittal of Final Audit Reports Audit Report A-07-16 for INL/CCP RH Waste Characterization Activities dated November 22, 2006 Transmittal of the Certification Audit Report for SRS A-07-01 dated November 21, 2006 Annual Proposed Acceptable Knowledge Sufficiency Determination List Annual Report Submittals Submittal of Acceptable Knowledge Sufficiency Determination Notice of Submittal of a Dispute

  20. WIPP Stakeholder Information Page

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

    8 WIPP Stakeholder Information Documents Closure of Underground Hazardous Waste Disposal Unit Submittal of Final Audit Reports Transmittal of the Certification Audit Report for the Advanced Mixed Waste Treatment Program, A-08-19 dated November 25, 2008 Transmittal of the Certification Audit Report for the Hanford TRU Program dated October 15, 2008 Transmittal of the Certification Audit Report for the Argonne National Laboratory-Central Characterization Project, Audit A-08-24 dated September 17,