National Library of Energy BETA

Sample records for manager input validation

  1. T-693: Symantec Endpoint Protection Manager Input Validation...

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

    Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site...

  2. U-001:Symantec IM Manager Input Validation Flaws

    Broader source: Energy.gov [DOE]

    Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks.

  3. V-192: Symantec Security Information Manager Input Validation...

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

    Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site...

  4. T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks

    Broader source: Energy.gov [DOE]

    Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks .

  5. U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager i (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  6. U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  7. U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.

  8. V-139: Cisco Network Admission Control Input Validation Flaw...

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

    PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A...

  9. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  10. V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated...

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

    Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated...

  11. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits...

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

    3: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting...

  12. T-602: BlackBerry Enterprise Server Input Validation Flaw in...

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

    02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

  13. U-147:Red Hat Enterprise MRG Grid Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The MRG Management Console (Cumin) does not properly filter HTML code from user-supplied input before displaying the input.

  14. T-701: Citrix Access Gateway Enterprise Edition Input Validation...

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

    1: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input...

  15. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    3: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks July 5, 2013 -...

  16. U-144:Juniper Secure Access Input Validation Flaw Permits Cross...

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

    4:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks April 10,...

  17. T-602: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The BlackBerry Web Desktop Manager not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the BlackBerry Web Desktop Manager software and will run in the security context of that site. As a result, the code will be able to access the target user's cookies (including authentication cookies), if any, associated with the site, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user.

  18. The SCALE Verified, Archived Library of Inputs and Data - VALID

    SciTech Connect (OSTI)

    Marshall, William BJ J; Rearden, Bradley T

    2013-01-01

    The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional experiments from the IHECSBE, to include experiments from areas beyond criticality safety, such as reactor physics and shielding, and to include application models. In the future, external SCALE users may also obtain qualification under the VALID procedure and be involved in expanding the library. The VALID library provides a pathway for the criticality safety community to leverage modeling and analysis expertise at ORNL.

  19. U-139: IBM Tivoli Directory Server Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The Web Admin Tool does not properly filter HTML code from user-supplied input before displaying the input.

  20. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

  1. V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

  2. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross...

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

    Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial...

  3. Method of validating measurement data of a process parameter from a plurality of individual sensor inputs

    DOE Patents [OSTI]

    Scarola, Kenneth; Jamison, David S.; Manazir, Richard M.; Rescorl, Robert L.; Harmon, Daryl L.

    1998-01-01

    A method for generating a validated measurement of a process parameter at a point in time by using a plurality of individual sensor inputs from a scan of said sensors at said point in time. The sensor inputs from said scan are stored and a first validation pass is initiated by computing an initial average of all stored sensor inputs. Each sensor input is deviation checked by comparing each input including a preset tolerance against the initial average input. If the first deviation check is unsatisfactory, the sensor which produced the unsatisfactory input is flagged as suspect. It is then determined whether at least two of the inputs have not been flagged as suspect and are therefore considered good inputs. If two or more inputs are good, a second validation pass is initiated by computing a second average of all the good sensor inputs, and deviation checking the good inputs by comparing each good input including a present tolerance against the second average. If the second deviation check is satisfactory, the second average is displayed as the validated measurement and the suspect sensor as flagged as bad. A validation fault occurs if at least two inputs are not considered good, or if the second deviation check is not satisfactory. In the latter situation the inputs from each of all the sensors are compared against the last validated measurement and the value from the sensor input that deviates the least from the last valid measurement is displayed.

  4. U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser.

  5. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site...

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

    V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August ... Addthis Related Articles V-211: IBM iNotes Multiple Vulnerabilities U-198: IBM Lotus ...

  6. T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks.

  7. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting

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

    Attacks | Department of Energy 9: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in IBM Lotus iNotes PLATFORM: IBM Lotus iNotes 8.5.x ABSTRACT: IBM Lotus iNotes 8.5.x contains four cross-site scripting vulnerabilities REFERENCE LINKS: Security Tracker Alert ID 1028954 IBM Security Bulletin 1647740

  8. Sensor Data Management, Validation, Correction, and Provenance...

    Office of Scientific and Technical Information (OSTI)

    The design and development of two integrated software products are discussed: Sensor Data Validation and Correction (SensorDVC) and the Provenance Data Management System (ProvDMS) ...

  9. U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks

    Broader source: Energy.gov [DOE]

    The 'public_html/lists/admin' pages do not properly validate user-supplied input in the 'sortby' parameter [CVE-2012-2740]. A remote authenticated administrative user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

  10. T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input before displaying the input.

  11. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Several scripts do not properly filter HTML code from user-supplied input before displaying the input via several parameters

  12. Pre-Validated Signal Database Management System

    Energy Science and Technology Software Center (OSTI)

    1996-12-18

    SPRT/DBMS is a pre-validated experimental database management system for industries where large volumes of process signals are acquired and archived. This system implements a new and powerful pattern recognition method, the spectrum transformed sequential testing (STST or ST2) procedure. A network of interacting ST2 modules deployed in parallel is integrated with a relational DBMS to fully validate process signals as they are archived. This reliable, secure DBMS then provides system modelers, code developers, and safetymore » analysts with an easily accessible source of fully validated process data.« less

  13. U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input.

  14. U-255: Apache Wicket Input Validation Flaw Permits Cross-Site...

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

    in ajax links before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed...

  15. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Symantec’s Brightmail Gateway management console is susceptible to stored cross-site scripting (XSS) issues found in some of the administrative interface pages.

  16. Sensor Data Management, Validation, Correction, and Provenance for Building

    Office of Scientific and Technical Information (OSTI)

    Technologies (Conference) | SciTech Connect Sensor Data Management, Validation, Correction, and Provenance for Building Technologies Citation Details In-Document Search Title: Sensor Data Management, Validation, Correction, and Provenance for Building Technologies Oak Ridge National Laboratory (ORNL) conducts research on technologies that use a wide range of sensors to develop and characterize building energy performance. The management of high-resolution sensor data, analysis, and tracing

  17. T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input.

  18. EO 13690 (2015): Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input

    Broader source: Energy.gov [DOE]

    Executive Order (E.O.) 13690, Establishing a Federal Flood Risk Management Standard [FFRMS] and a Process for Further Soliciting and Considering Stakeholder Input (2015) amends E.O. 11988,...

  19. Data Management Plan for The Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project

    Broader source: Energy.gov [DOE]

    The Data Management Plan describes how DOE will handle data submitted by recipients as deliverables under the Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project.

  20. Validation

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

    Validation in fusion research: Towards guidelines and best practices P. W. Terry, 1 M. Greenwald, 2 J.-N. Leboeuf, 3 G. R. McKee, 4 D. R. Mikkelsen, 5 W. M. Nevins, 6 D. E. Newman, 7 D. P. Stotler, 5 Task Group on Verification and Validation, U.S. Burning Plasma Organization, and U.S. Transport Task Force 1 Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA 2 Plasma Science and Fusion Center, Massachusetts Institute of Technology, Cambridge, Massachusetts

  1. Validating

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

    Validating extended MHD models for fusion plasmas K. J. McCollam (kmccollam@wisc.edu), D. J. Den Hartog, C. M. Jacobson, J. A. Reusch, J. S. Sarff, and the MST Team, University of Wisconsin-Madison, April 2015 Submitted to the DOE Workshop on Integrated Simulations for Magnetic Fusion Energy Sciences Primary topic: A (Disruptions); Secondary topic: C (Whole device modeling) Oral presentation requested if time available Motivation: That predictive capability is a major gap in fusion plasma

  2. Refiner Crude Oil Inputs

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

    Data Series: Refiner Crude Oil Inputs Refiner Gross Inputs Refiner Operable Capacity ... Download Series History Download Series History Definitions, Sources & Notes Definitions, ...

  3. T-648: Avaya IP Office Manager TFTP Server Lets Remote Users Traverse the Directory

    Broader source: Energy.gov [DOE]

    The software does not properly validate user-supplied input. A remote user can supply a specially crafted request to view files on target system running the IP Office Manager software.

  4. Abandoned Uranium Mines Report to Congress: LM Wants Your Input

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder input on an abandoned uranium mines report to Congress.

  5. W-026, Waste Receiving and Processing Facility data management system validation and verification report

    SciTech Connect (OSTI)

    Palmer, M.E.

    1997-12-05

    This V and V Report includes analysis of two revisions of the DMS [data management system] System Requirements Specification (SRS) and the Preliminary System Design Document (PSDD); the source code for the DMS Communication Module (DMSCOM) messages; the source code for selected DMS Screens, and the code for the BWAS Simulator. BDM Federal analysts used a series of matrices to: compare the requirements in the System Requirements Specification (SRS) to the specifications found in the System Design Document (SDD), to ensure the design supports the business functions, compare the discreet parts of the SDD with each other, to ensure that the design is consistent and cohesive, compare the source code of the DMS Communication Module with the specifications, to ensure that the resultant messages will support the design, compare the source code of selected screens to the specifications to ensure that resultant system screens will support the design, compare the source code of the BWAS simulator with the requirements to interface with DMS messages and data transfers relating to the BWAS operations.

  6. Influential input classification in probabilistic multimedia models

    SciTech Connect (OSTI)

    Maddalena, Randy L.; McKone, Thomas E.; Hsieh, Dennis P.H.; Geng, Shu

    1999-05-01

    Monte Carlo analysis is a statistical simulation method that is often used to assess and quantify the outcome variance in complex environmental fate and effects models. Total outcome variance of these models is a function of (1) the uncertainty and/or variability associated with each model input and (2) the sensitivity of the model outcome to changes in the inputs. To propagate variance through a model using Monte Carlo techniques, each variable must be assigned a probability distribution. The validity of these distributions directly influences the accuracy and reliability of the model outcome. To efficiently allocate resources for constructing distributions one should first identify the most influential set of variables in the model. Although existing sensitivity and uncertainty analysis methods can provide a relative ranking of the importance of model inputs, they fail to identify the minimum set of stochastic inputs necessary to sufficiently characterize the outcome variance. In this paper, we describe and demonstrate a novel sensitivity/uncertainty analysis method for assessing the importance of each variable in a multimedia environmental fate model. Our analyses show that for a given scenario, a relatively small number of input variables influence the central tendency of the model and an even smaller set determines the shape of the outcome distribution. For each input, the level of influence depends on the scenario under consideration. This information is useful for developing site specific models and improving our understanding of the processes that have the greatest influence on the variance in outcomes from multimedia models.

  7. US Nuclear Regulatory Commission Input to DOE Request for Information Smart

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

    Grid Implementation Input | Department of Energy US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New

  8. Prioritization Tool Measurement Input Form

    Broader source: Energy.gov [DOE]

    BTO encourages stakeholders to recommend updates and improvements to the Prioritization Tool by using the below Measure Input Form.

  9. Revised Guidelines for Implementing Executive Order 11988, "Floodplain Management," and Executive Order 13690, "Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input" (2015)

    Broader source: Energy.gov [DOE]

    The Water Resources Council approved revised implementing guidelines for E.O. 11988 (as amended) (2015) and E.O. 13690 (2015) in October 2015. The revised implementing guidelines explain the use of natural systems, ecosystem processes, and nature-based approaches for identifying alternatives, and provide other technical guidance for implementing E.0. 11988 (as amended) (2015) and the Federal Flood Risk Management Standard (FFRMS).

  10. Independent Verification and Validation Of SAPHIRE 8 Risk Management Project Number: N6423 U.S. Nuclear Regulatory Commission

    SciTech Connect (OSTI)

    Kent Norris

    2009-11-01

    This report provides an evaluation of the risk management. Risk management is intended to ensure a methodology for conducting risk management planning, identification, analysis, responses, and monitoring and control activities associated with the SAPHIRE project work, and to meet the contractual commitments prepared by the sponsor; the Nuclear Regulatory Commission.

  11. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect (OSTI)

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  12. T-546: Microsoft MHTML Input Validation Hole May Permit Cross...

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

    a client-side script in the response of a Web request run in the context of the victim's ... action that the user could take on the affected Web site on behalf of the targeted user. ...

  13. Independent Verification and Validation Of SAPHIRE 8 Software Configuration Management Plan Project Number: N6423 U.S. Nuclear Regulatory Commission

    SciTech Connect (OSTI)

    Kent Norris

    2010-02-01

    The purpose of the Independent Verification and Validation (IV&V) role in the evaluation of the SAPHIRE configuration management is to assess the activities that results in the process of identifying and defining the baselines associated with the SAPHIRE software product; controlling the changes to baselines and release of baselines throughout the life cycle; recording and reporting the status of baselines and the proposed and actual changes to the baselines; and verifying the correctness and completeness of baselines.. The IV&V team began this endeavor after the software engineering and software development of SAPHIRE had already been in production.

  14. Independent Verification and Validation Of SAPHIRE 8 Software Configuration Management Plan Project Number: N6423 U.S. Nuclear Regulatory Commission

    SciTech Connect (OSTI)

    Kent Norris

    2009-10-01

    The purpose of the Independent Verification and Validation (IV&V) role in the evaluation of the SAPHIRE configuration management is to assess the activities that results in the process of identifying and defining the baselines associated with the SAPHIRE software product; controlling the changes to baselines and release of baselines throughout the life cycle; recording and reporting the status of baselines and the proposed and actual changes to the baselines; and verifying the correctness and completeness of baselines.. The IV&V team began this endeavor after the software engineering and software development of SAPHIRE had already been in production.

  15. Reviews and Validations | Department of Energy

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

    Reviews and Validations Reviews and Validations External Independent Review (EIR) Procedures Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital ...

  16. Appendix A Scoping Input Appendix ...

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

    Species Act Correspondence with the U.S. Fish & Wildlife Service Appendix F Section 106 ... December 13, 2013. The following input was received during the Scoping period: * U.S. Fish ...

  17. Object-Oriented Database for Managing Building Modeling Components and Metadata: Preprint

    SciTech Connect (OSTI)

    Long, N.; Fleming, K.; Brackney, L.

    2011-12-01

    Building simulation enables users to explore and evaluate multiple building designs. When tools for optimization, parametrics, and uncertainty analysis are combined with analysis engines, the sheer number of discrete simulation datasets makes it difficult to keep track of the inputs. The integrity of the input data is critical to designers, engineers, and researchers for code compliance, validation, and building commissioning long after the simulations are finished. This paper discusses an application that stores inputs needed for building energy modeling in a searchable, indexable, flexible, and scalable database to help address the problem of managing simulation input data.

  18. Generation Inputs Workshop June 25, 2014

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

    Inputs Workshop 25 June 2014 BPA's Centralized Wind Power Forecasting Initiative Scott Winner June 25, 2014 Generation Inputs Workshop Predecisional. For Discussion Purposes Only....

  19. DOE Seeks Industry Input on Nickel Disposition Strategy

    Broader source: Energy.gov [DOE]

    WASHINGTON, D.C. – The Energy Department’s prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel.

  20. Verification and validation benchmarks.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy

    2007-02-01

    Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest.

  1. U.S. Weekly Inputs & Utilization

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

    Data Series Area 031116 031816 032516 040116 040816 041516 View History Refiner Inputs and Utilization Crude Oil Inputs 15,996 15,820 16,234 16,433 15,941 16,104 ...

  2. Recommendation 177: Facilitating Early Public Input

    Broader source: Energy.gov [DOE]

    DOE should initiate consultation meetings with stake holders immediately to allow early public input into the planning for IFDP

  3. management

    National Nuclear Security Administration (NNSA)

    5%2A en Management and Budget http:www.nnsa.energy.govaboutusouroperationsmanagementandbudget

  4. Project Management | Department of Energy

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

    Project Management Project Management Some of the Project Management Division’s many functions involve developing risk management plans, managing project risks, and providing input on prime contractor performance. Some of the Project Management Division's many functions involve developing risk management plans, managing project risks, and providing input on prime contractor performance. Employees in our Project Management Division address projects' planning and execution, as specified in

  5. BISON Validation | Department of Energy

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

    Validation BISON Validation January 29, 2013 - 11:54am Addthis BISON Validation Predictive Maturity Work continued on the previously developed discovery, accumulation, and assessment (DAA) process to plan, track, assess, and communicate VU activities and results. DAA was applied to the BISON sensitivity analysis described above, and the results were exported to Synopsis, the DAA management tool. [SNL, LANL, INL] Building on previous sensitivity studies of the LIFE-IV nuclear fuels code, a

  6. FIMS Data Validation | Department of Energy

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

    The Department relies on the FIMS data for real property decision-making and accounting of ... FIMS Data Validation Guidance and Site Visit Schedule Aviation Management Green Leases ...

  7. management

    National Nuclear Security Administration (NNSA)

    5%2A en Management and Budget http:nnsa.energy.govaboutusouroperationsmanagementandbudget

    P...

  8. ,"Maine Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  9. ,"Washington Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","09...

  10. Input apparatus for dynamic signature verification systems

    DOE Patents [OSTI]

    EerNisse, Errol P.; Land, Cecil E.; Snelling, Jay B.

    1978-01-01

    The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

  11. ,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  12. ,"Texas Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  13. US Nuclear Regulatory Commission Input to DOE Request for Information...

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

    US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart ...

  14. Criticality Safety Validation of SCALE 6.1 with ENDF/B-VII.0 Libraries

    SciTech Connect (OSTI)

    Marshall, William BJ J; Rearden, Bradley T

    2012-01-01

    ANSI/ANS-8.1-1998;2007, Nuclear Criticality Safety in Operations with Fissionable Material Outside Reactors, and ANSI/ANS-8.24-2007, Validation of Neutron Transport Methods for Nuclear Criticality Safety Calculations, require validation of a computer code and the associated data through benchmark evaluations based on physical experiments. The performance of the code and data are validated by comparing the calculated and the benchmark results. A SCALE procedure has been established to generate a Verified, Archived Library of Inputs and Data (VALID). This procedure provides a framework for preparing, peer reviewing, and controlling models and data sets derived from benchmark definitions so that the models and data can be used with confidence. The procedure ensures that the models and data were correctly generated using appropriate references with documented checks and reviews. Configuration management is implemented to prevent inadvertent modification of the models and data or inclusion of models that have not been subjected to the rigorous review process. VALID entries for criticality safety are based on critical experiments documented in the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). The findings of a criticality safety validation of SCALE 6.1 utilizing the benchmark models vetted in the VALID library at Oak Ridge National Laboratory are summarized here.

  15. Wireless, relative-motion computer input device

    DOE Patents [OSTI]

    Holzrichter, John F.; Rosenbury, Erwin T.

    2004-05-18

    The present invention provides a system for controlling a computer display in a workspace using an input unit/output unit. A train of EM waves are sent out to flood the workspace. EM waves are reflected from the input unit/output unit. A relative distance moved information signal is created using the EM waves that are reflected from the input unit/output unit. Algorithms are used to convert the relative distance moved information signal to a display signal. The computer display is controlled in response to the display signal.

  16. FIMS Data Validation | Department of Energy

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

    Information Systems » FIMS Data Validation FIMS Data Validation FIMS Data Validation The Facility Information Management System (FIMS) is the Department's official repository of real property data. The Department relies on the FIMS data for real property decision-making and accounting of its $86B in assets. Maintaining accurate and credible data in FIMS is critical to efficient operations and resource planning. Department of Energy Order 430.1B Real Property Asset Management requires FIMS data

  17. Summary, Attendee Input, and Day 1 Wrap Up | Department of Energy

    Energy Savers [EERE]

    Day 1 Wrap Up Summary, Attendee Input, and Day 1 Wrap Up Addthis Description Summary and wrap up of day 1 presentations and preview of day 2 by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office

  18. Summary, Attendee Input, and Final Day 2 Wrap up | Department of Energy

    Energy Savers [EERE]

    Final Day 2 Wrap up Summary, Attendee Input, and Final Day 2 Wrap up Addthis Description Summary and wrap up by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office of day 2 presentations and discussions

  19. U.S. Blender Net Input

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

    2010 2011 2012 2013 2014 2015 View History Total Input 2,166,784 2,331,109 2,399,318 2,539,812 2,824,480 2,987,634 2005-2015 Natural Gas Plant Liquids and Liquefied Refinery Gases ...

  20. Microsoft Word - SmartGrid - NRC Input to DOE Requestrvjcomments.docx

    Energy Savers [EERE]

    Nuclear Regulatory Commission Input to DOE Request for Information/RFI (Federal Register / Vol. 75, No. 180 / Friday, September 17, 2010/Pages 57006-57011 / Notices) / Smart Grid Implementation Input - NRC Contact: Kenn A. Miller, Office of Nuclear Reactor Regulation, 301-415-3152 Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," Page 57010. Nuclear

  1. Guidance for Fiscal Year 2015 Facilities Information Management...

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

    Fiscal Year 2015 Facilities Information Management System Data Validations Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations PDF icon FIMS ...

  2. Guidance for Fiscal Year 2015 Facilities Information Management...

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

    Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations PDF...

  3. EVMS Training Snippet: 5.2 PARSII Analysis: Data Validity Reports...

    Energy Savers [EERE]

    2 PARSII Analysis: Data Validity Reports EVMS Training Snippet: 5.2 PARSII Analysis: Data Validity Reports This EVMS Training Snippet, sponsored by the Office of Project Management...

  4. Midwest (PADD 2) Weekly Inputs & Utilization

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

    3,290 3,276 3,258 3,350 3,411 3,475 1992-2016 Gross Inputs 3,294 3,279 3,262 3,353 3,414 3,478 1990-2016 Operable Capacity (Calendar Day) 3,882 3,893 3,904 3,915 3,922 3,922 2010-2016 Percent Operable Utilization 84.9 84.3 83.6 85.7 87.0 88.7 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components 416 444 485 464 486 472 2010-2016 RBOB 51 57 69 56 60 67 2010-2016 CBOB 290 327 361 373 396 348 2010-2016 GTAB 0 0 0 0 0 0 2010-2016 All Other 75 60 55 35 30 56 2010-2016 Fuel

  5. XBox Input -Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2012-10-03

    Contains class for connecting to the Xbox 360 controller, displaying the user inputs {buttons, triggers, analog sticks), and controlling the rumble motors. Also contains classes for converting the raw Xbox 360 controller inputs into meaningful commands for the following objects: • Robot arms - Provides joint control and several tool control schemes • UGV's - Provides translational and rotational commands for "skid-steer" vehicles • Pan-tilt units - Provides several modes of control including velocity, position,more » and point-tracking • Head-mounted displays (HMO)- Controls the viewpoint of a HMO • Umbra frames - Controls the position andorientation of an Umbra posrot object • Umbra graphics window - Provides several modes of control for the Umbra OSG window viewpoint including free-fly, cursor-focused, and object following.« less

  6. Minnesota Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental ... Total Supplemental Supply of Natural Gas Minnesota Supplemental Supplies of Natural Gas ...

  7. Addressing Uncertainties in Design Inputs: A Case Study of Probabilist...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Addressing Uncertainties in Design Inputs: A Case...

  8. Tribal Leaders Provide White House with Input on Bolstering Climate...

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

    Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 - 10:29am ...

  9. decreasing water input and waste generation

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

    decreasing water input and waste generation - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste

  10. U-015: CiscoWorks Common Services Home Page Input Validation...

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

    commands on the target system. A remote user can submit a specially crafted URL via TCP port 443 or 1741 to execute arbitrary commands on the target system. The commands will...

  11. T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code

    Broader source: Energy.gov [DOE]

    A vulnerability was reported in Microsoft MHTML. A remote user can conduct cross-site scripting attacks.

  12. T-722: IBM WebSphere Commerce Edition Input Validation Holes...

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

    recently submitted by the target user via web form to the site, or take actions on the ... recently submitted by the target user via web form to the site, or take actions on the ...

  13. T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS).

  14. PADD 3 Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update (EIA)

    8,932 8,698 8,654 8,467 8,531 8,502 1992-2016 Gross Inputs 8,973 8,796 8,658 8,607 8,811 8,490 1990-2016 Operable Capacity (Calendar Day) 9,437 9,437 9,437 9,512 9,512 9,512 2010-2016 Percent Operable Utilization 95.1 93.2 91.7 90.5 92.6 89.3 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components -2,198 -2,086 -2,262 -2,381 -2,286 -2,129 2004-2016 RBOB -454 -429 -442 -405 -342 -355 2010-2016 CBOB -1,777 -1,684 -1,862 -1,882 -1,896 -1,869 2004-2016 GTAB 0 0 0 0 0 0 2004-2016

  15. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

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

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore » result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  16. U.S. Blender Net Input

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History Total Input 248,620 258,292 242,060 252,467 242,396 238,655 2005-2016 Natural Gas Plant Liquids and Liquefied Refinery Gases 1,681 2,789 2,599 2,073 2,044 1,531 2008-2016 Pentanes Plus 111 413 479 223 489 347 2005-2016 Liquid Petroleum Gases 1,570 2,376 2,120 1,850 1,555 1,184 2008-2016 Normal Butane 1,563 2,376 2,120 1,850 1,555 1,184 2005-2016 Isobutane 7 2005-2015 Other Liquids 246,939 255,503 239,461 250,394 240,352 237,124 2008-2016

  17. Field measurement of moisture-buffering model inputs for residential buildings

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

    Woods, Jason; Winkler, Jon

    2016-02-05

    Moisture adsorption and desorption in building materials impact indoor humidity. This effect should be included in building-energy simulations, particularly when humidity is being investigated or controlled. Several models can calculate this moisture-buffering effect, but accurate ones require model inputs that are not always known to the user of the building-energy simulation. This research developed an empirical method to extract whole-house model inputs for the effective moisture penetration depth (EMPD) model. The experimental approach was to subject the materials in the house to a square-wave relative-humidity profile, measure all of the moisture-transfer terms (e.g., infiltration, air-conditioner condensate), and calculate the onlymore » unmeasured term—the moisture sorption into the materials. We validated this method with laboratory measurements, which we used to measure the EMPD model inputs of two houses. After deriving these inputs, we measured the humidity of the same houses during tests with realistic latent and sensible loads and demonstrated the accuracy of this approach. Furthermore, these results show that the EMPD model, when given reasonable inputs, is an accurate moisture-buffering model.« less

  18. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  19. Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet...

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

    Input Supplemental Fuels (Million Cubic Feet) Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  20. Clean Energy Investment Center Seeks Input to Enhance Its Services...

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

    Clean Energy Investment Center Seeks Input to Enhance Its Services Clean Energy Investment Center Seeks Input to Enhance Its Services March 2, 2016 - 9:21am Addthis On March 1, the ...

  1. Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  2. Developing a low input and sustainable switchgrass feedstock...

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

    switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass feedstock production system utilizing ...

  3. Refinery Input by PADD - Petroleum Supply Annual (2004)

    SciTech Connect (OSTI)

    2009-01-18

    Table showing refinery input of crude oil and petroleum products by Petroleum Administration for Defense Districts (PADD).

  4. Input File Creation for the Molecular Dynamics Program LAMMPS.

    Energy Science and Technology Software Center (OSTI)

    2001-05-30

    The program creates an input data file for the molecular dynamics program LAMMPS. The input file created is a liquid mixture between two walls explicitly composed of particles. The liquid molecules are modeled as a bead-spring molecule. The input data file specifies the position and topology of the starting state. The data structure of input allows for dynamic bond creation (cross-linking) within the LAMMPS code.

  5. FACILITIES INFORMATION MANAGEMENT SYSTEM (FIMS) DATA VALIDATION...

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

    ... 20, 2014 Data Element DOE Owned Building DOE Owned Trailer DOE Owned OSF DOE ... Bridge safety inspection frequency is as follows: Train bridges - one inspection per ...

  6. Analysis of Stochastic Response of Neural Networks with Stochastic Input

    Energy Science and Technology Software Center (OSTI)

    1996-10-10

    Software permits the user to extend capability of his/her neural network to include probablistic characteristics of input parameter. User inputs topology and weights associated with neural network along with distributional characteristics of input parameters. Network response is provided via a cumulative density function of network response variable.

  7. Input visualization for the Cyclus nuclear fuel cycle simulator: CYClus Input Control

    SciTech Connect (OSTI)

    Flanagan, R.; Schneider, E.

    2013-07-01

    This paper discusses and demonstrates the methods used for the graphical user interface for the Cyclus fuel cycle simulator being developed at the University of Wisconsin-Madison. Cyclus Input Control (CYCIC) is currently being designed with nuclear engineers in mind, but future updates to the program will be made to allow even non-technical users to quickly and efficiently simulate fuel cycles to answer the questions important to them. (authors)

  8. Letter: Incorporation of Input from the Environmental Management SSAB into Office of Legacy Management Activities

    Broader source: Energy.gov [DOE]

    From: Assistant Secretary, Jessie H. Roberson (EM-1) To: Mr. James C. Bierer, Chair, Fernald Citizens Advisory Board

  9. Data Management

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

    Data Management Data Management Data Transfer STAR makes use of grid-based file transfers between PDSF and Brookhaven for two main purposes. The first is to transfer input/output files for simulation jobs submitted from Brookhaven to/from PDSF. The jobs come in through pdsfgrid.nersc.gov making use of the OSG software installation and the files are transferred through pdsfdtn1.nersc.gov to and from /project/projectdirs/osg. The second purpose is for bulk replication of microDST's from

  10. High-frequency matrix converter with square wave input

    DOE Patents [OSTI]

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  11. NIDR (New Input Deck Reader) V2.0 2

    Energy Science and Technology Software Center (OSTI)

    2010-03-31

    NIDR (New Input Deck Reader) is a facility for processing block-structured input to large programs. NIDR was written to simplify maintenance of DAKOTA (a program for uncertainty quantification and optimization), to provide better error checking of input and to allow use of aliases in the input. While written to support DAKOTA input conventions, NIDR itself is independent of DAKOTA and can be used in many kinds of programs. The initial version of NIDR was copyrightedmore » in 2008. We have since extended NIDR to support a graphical user interface called Jaguar for DAKOTA. In the Review and Approval process for an updated paper on NIDR, the Classification Approver states that a new copyright assertion should be performed.processing input to programs. NIDR is not primarily for military applications.« less

  12. Table A41. Total Inputs of Energy for Heat, Power, and Electricity

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

    A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and

  13. Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and

  14. Generates 2D Input for DYNA NIKE & TOPAZ

    Energy Science and Technology Software Center (OSTI)

    1996-07-15

    MAZE is an interactive program that serves as an input and two-dimensional mesh generator for DYNA2D, NIKE2D, TOPAZ2D, and CHEMICAL TOPAZ2D. MAZE also generates a basic template for ISLAND input. MAZE has been applied to the generation of input data to study the response of two-dimensional solids and structures undergoing finite deformations under a wide variety of large deformation transient dynamic and static problems and heat transfer analyses.

  15. ,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities...

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

    Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","22016","1151985" ,"Release Date:","4292016" ,"Next Release Date:","5312016" ,"Excel File ...

  16. ,"New Mexico Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  17. Model Verification and Validation

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

    in the decision-making process. Validation should therefore involve the code developers, computer scientists, experimentalists, statisticians, analysts, and application owners....

  18. Control Board Digital Interface Input Devices Touchscreen, Trackpad, or Mouse?

    SciTech Connect (OSTI)

    Thomas A. Ulrich; Ronald L. Boring; Roger Lew

    2015-08-01

    The authors collaborated with a power utility to evaluate input devices for use in the human system interface (HSI) for a new digital Turbine Control System (TCS) at a nuclear power plant (NPP) undergoing a TCS upgrade. A standalone dynamic software simulation of the new digital TCS and a mobile kiosk were developed to conduct an input device study to evaluate operator preference and input device effectiveness. The TCS software presented the anticipated HSI for the TCS and mimicked (i.e., simulated) the turbine systems responses to operator commands. Twenty-four licensed operators from the two nuclear power units participated in the study. Three input devices were tested: a trackpad, mouse, and touchscreen. The subjective feedback from the survey indicates the operators preferred the touchscreen interface. The operators subjectively rated the touchscreen as the fastest and most comfortable input device given the range of tasks they performed during the study, but also noted a lack of accuracy for selecting small targets. The empirical data suggest the mouse input device provides the most consistent performance for screen navigation and manipulating on screen controls. The trackpad input device was both empirically and subjectively found to be the least effective and least desired input device.

  19. Developing a low input and sustainable switchgrass feedstock production

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

    system utilizing beneficial bacterial endophytes | Department of Energy Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Dr. Chuansheng Mei gave this presentation at the Symbiosis Conference. PDF icon symbiosis_conference_mei.pdf More Documents & Publications Symbiosis Biofeedstock Conference:

  20. ADOPT: A Historically Validated Light Duty Vehicle Consumer Choice Model

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Lopp, S.; Ward, J.

    2015-05-04

    The Automotive Deployment Option Projection Tool (ADOPT) is a light-duty vehicle consumer choice and stock model supported by the U.S. Department of Energy’s Vehicle Technologies Office. It estimates technology improvement impacts on U.S. light-duty vehicles sales, petroleum use, and greenhouse gas emissions. ADOPT uses techniques from the multinomial logit method and the mixed logit method estimate sales. Specifically, it estimates sales based on the weighted value of key attributes including vehicle price, fuel cost, acceleration, range and usable volume. The average importance of several attributes changes nonlinearly across its range and changes with income. For several attributes, a distribution of importance around the average value is used to represent consumer heterogeneity. The majority of existing vehicle makes, models, and trims are included to fully represent the market. The Corporate Average Fuel Economy regulations are enforced. The sales feed into the ADOPT stock model. It captures key aspects for summing petroleum use and greenhouse gas emissions This includes capturing the change in vehicle miles traveled by vehicle age, the creation of new model options based on the success of existing vehicles, new vehicle option introduction rate limits, and survival rates by vehicle age. ADOPT has been extensively validated with historical sales data. It matches in key dimensions including sales by fuel economy, acceleration, price, vehicle size class, and powertrain across multiple years. A graphical user interface provides easy and efficient use. It manages the inputs, simulation, and results.

  1. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P.; Paris, Robert D.; Feldman, Mark

    1993-01-01

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  2. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  3. Reviews and Validations

    Broader source: Energy.gov [DOE]

    Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital Assets, the Office of Acquisition and Project Management (OAPM) must perform a Performance Baseline External...

  4. Web Feature Service Validator

    Energy Science and Technology Software Center (OSTI)

    2013-08-01

    This site allows state data contributors to validate their WFS services against a specified schema for tier 3 data. The application uses the USGIN models API at https://github.com/usgin/usginmodels.

  5. Summary of Stakeholder Input From May 2015 Request for Information...

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

    Summary of Stakeholder Input From May 2015 Request for Information The U.S. Department of Energy (DOE) sought FY15 feedback through issuance of a Request for Information from ...

  6. Method and apparatus for smart battery charging including a plurality of controllers each monitoring input variables

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.

    2013-10-15

    A method for managing the charging and discharging of batteries wherein at least one battery is connected to a battery charger, the battery charger is connected to a power supply. A plurality of controllers in communication with one and another are provided, each of the controllers monitoring a subset of input variables. A set of charging constraints may then generated for each controller as a function of the subset of input variables. A set of objectives for each controller may also be generated. A preferred charge rate for each controller is generated as a function of either the set of objectives, the charging constraints, or both, using an algorithm that accounts for each of the preferred charge rates for each of the controllers and/or that does not violate any of the charging constraints. A current flow between the battery and the battery charger is then provided at the actual charge rate.

  7. PV Performance and Reliability Validation Capabilities at Sandia National

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

    Laboratories | Department of Energy Performance and Reliability Validation Capabilities at Sandia National Laboratories PV Performance and Reliability Validation Capabilities at Sandia National Laboratories This presenation summarizes the information discussed by Sandia National Laboratories at the PV Manufacturing Workshop, March 25, 2011. PDF icon pv_manufacturing_workshop_2011_march_granata.pdf More Documents & Publications Federal Energy Management Program Report Template

  8. DOE Seeks Input On Addressing Contractor Pension and Medical Benefits

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

    Liabilities | Department of Energy Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor employee pension and medical benefits. Under the Department of Energy's unique

  9. Validation of an Integrated Hydrogen Energy Station

    SciTech Connect (OSTI)

    Edward C. Heydorn

    2012-10-26

    This report presents the results of a 10-year project conducted by Air Products and Chemicals, Inc. (Air Products) to determine the feasibility of coproducing hydrogen with electricity. The primary objective was to demonstrate the technical and economic viability of a hydrogen energy station using a high-temperature fuel cell designed to produce power and hydrogen. This four-phase project had intermediate go/no-go decisions and the following specific goals: • Complete a technical assessment and economic analysis of the use of high-temperature fuel cells, including solid oxide and molten carbonate, for the co-production of power and hydrogen (energy park concept). • Build on the experience gained at the Las Vegas H2 Energy Station and compare/contrast the two approaches for co-production. • Determine the applicability of co-production from a high-temperature fuel cell for the existing merchant hydrogen market and for the emerging hydrogen economy. • Demonstrate the concept on natural gas for six months at a suitable site with demand for both hydrogen and electricity. • Maintain safety as the top priority in the system design and operation. • Obtain adequate operational data to provide the basis for future commercial activities, including hydrogen fueling stations. Work began with the execution of the cooperative agreement with DOE on 30 September 2001. During Phase 1, Air Products identified high-temperature fuel cells as having the potential to meet the coproduction targets, and the molten carbonate fuel cell system from FuelCell Energy, Inc. (FuelCell Energy) was selected by Air Products and DOE following the feasibility assessment performed during Phase 2. Detailed design, construction and shop validation testing of a system to produce 250 kW of electricity and 100 kilograms per day of hydrogen, along with site selection to include a renewable feedstock for the fuel cell, were completed in Phase 3. The system also completed six months of demonstration operation at the wastewater treatment facility operated by Orange County Sanitation District (OCSD, Fountain Valley, CA). As part of achieving the objective of operating on a renewable feedstock, Air Products secured additional funding via an award from the California Air Resources Board. The South Coast Air Quality Management District also provided cost share which supported the objectives of this project. System operation at OCSD confirmed the results from shop validation testing performed during Phase 3. Hydrogen was produced at rates and purity that met the targets from the system design basis, and coproduction efficiency exceeded the 50% target set in conjunction with input from the DOE. Hydrogen production economics, updated from the Phase 2 analysis, showed pricing of $5 to $6 per kilogram of hydrogen using current gas purification systems. Hydrogen costs under $3 per kilogram are achievable if next-generation electrochemical separation technologies become available.

  10. Guidance for Fiscal Year 2015 Facilities Information Management System Data

    Energy Savers [EERE]

    Validations | Department of Energy Fiscal Year 2015 Facilities Information Management System Data Validations Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations PDF icon FIMS VALIDATION GUIDANCE_FY 2015 with MEMO 141120 FINAL.pdf More Documents & Publications Three-year Rolling Timeline Three Year Rolling Timeline WAPA Recovery Act Implementation Appropriation

  11. The Need for Validation from Concept to a Terrawatt | Department of Energy

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

    The Need for Validation from Concept to a Terrawatt The Need for Validation from Concept to a Terrawatt This presentation summaries the information given by CleanPath Ventures during the Photovoltaic Validation and Bankability Workshop in San Jose, California, on August 31, 2011. PDF icon cleanpathv_williams_pv_validation_2011_aug.pdf More Documents & Publications Federal Energy Management Program Report Template PV Performance and Reliability Validation Capabilities at Sandia National

  12. Aging Management Program for Stainless Steel Dry Storage System Canisters

    SciTech Connect (OSTI)

    Dunn, Darrell S.; Lin, Bruce P.; Meyer, Ryan M.; Anderson, Michael T.

    2015-06-01

    This is a conference paper presenting an aging management program for stainless steel dry storage system canisters. NRC is lead author of paper. PNNL provided input.

  13. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S.

    1981-01-01

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  14. South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  15. Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 127 443 454 375 209 414 75 141 643 428 1990's 59 240 245 538 1,195 445 716 350 148 179 2000's 493 239 124 368 145 192 39 89 89 247 2010's 159 89 48 130 301 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  16. Table 3. U.S. Inputs to biodiesel production

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

    U.S. Inputs to biodiesel production" "million pounds" ,"Feedstock inputs" ,"Vegetable oils",,,,,,,,,,,,"Animal fats" "Period","Canola oil",,"Corn oil",,"Cottonseed oil",,"Palm oil",,"Soybean oil",,"Other",,"Poultry",,"Tallow" 2014 "January",35.75,,72.72,,"W",,"W",,273,,"W",,2,,15

  17. Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 57 151 84 28 121 124 248 241 292 1990's 209 185 166 199 123 130 94 14 16 12 2000's 73 51 7 14 5 0 3 2 52 2010's 732 701 660 642 635 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  18. New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 774 720 582 328 681 509 362 464 492 592 1990's 205 128 96 154 160 90 147 102 103 111 2000's 180 86 66 58 91 84 92 9 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  19. Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 249 435 553 560 517 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Total Supplemental Supply of Natural Gas Louisiana Supplemental Supplies of

  20. Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 107 809 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  1. Validation of Innovative Exploration Technologies

    Broader source: Energy.gov [DOE]

    Below are the project presentations and respective peer review results for Validation of Innovative Exploration Technologies.

  2. Fee Determinations: Requirement to Obtain Acquisition Executive's Input

    Broader source: Energy.gov [DOE]

    On January 28, 2013, the Deputy Secretary issued the attached memorandum to the Department's senior officials requiring any Fee Determining Official whose contract falls under the cognizance of an Acquisition Executive to brief and obtain the input of that Acquisition Executive before determining earned fee under the contract.

  3. Federal Energy Management Program Report Template | Department...

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

    More Documents & Publications Testing and Validation of Vehicle to Grid Communication Standards Risk Management Tool Attributes: Taking It from Brown to Green: Renewable Energy on ...

  4. UNCLASSIFIED Nuclear Materials Management & Safeguards System

    National Nuclear Security Administration (NNSA)

    Nuclear Materials Management & Safeguards System CHANGE OF PROJECT NUMBER UPDATE PROJECT Project Number: Title: Date Valid: Date Deactivated: Classification Codes: Project Number: ...

  5. Predictive Technology Development and Crash Energy Management...

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

    Predictive Technology Development and Crash Energy Management Predictive Technology ... Merit Review 2015: Validation of Material Models for Crash Simulation of Automotive Carbon ...

  6. CIPS Validation Data Plan

    SciTech Connect (OSTI)

    Nam Dinh

    2012-03-01

    This report documents analysis, findings and recommendations resulted from a task 'CIPS Validation Data Plan (VDP)' formulated as an POR4 activity in the CASL VUQ Focus Area (FA), to develop a Validation Data Plan (VDP) for Crud-Induced Power Shift (CIPS) challenge problem, and provide guidance for the CIPS VDP implementation. The main reason and motivation for this task to be carried at this time in the VUQ FA is to bring together (i) knowledge of modern view and capability in VUQ, (ii) knowledge of physical processes that govern the CIPS, and (iii) knowledge of codes, models, and data available, used, potentially accessible, and/or being developed in CASL for CIPS prediction, to devise a practical VDP that effectively supports the CASL's mission in CIPS applications.

  7. U-067:WebSVN Input Validation Flaw in getLog() Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    A remote user can access the target user's cookies (including authentication cookies), if any, associated with the site running the WebSVN software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user.

  8. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks

    Broader source: Energy.gov [DOE]

    This security update resolves four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation.

  9. U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands

    Broader source: Energy.gov [DOE]

    Successful exploitation of this vulnerability may allow an authenticated, remote attacker to execute arbitrary commands on the affected system with the privileges of a system administrator.

  10. T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    A remote user can access the target user's cookies (including authentication cookies), if any, associated with the site running the IBM WebSphere software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user.

  11. Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  12. South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  13. Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  14. Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 1 14 2 9 19 4 4 9 1990's 1,240 1,076 1 3 1 1 0 0 0 17 2000's 0 1,505 2 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

  15. Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 0 0 0 0 0 0 1990's 0 6 3 4 9 4 5 6 0 1 2000's 7 104 2 10 12 9 2 2 1 2 2010's 1 2 3 3 5 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  16. Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15 13 15 11 11 9 10 21 79 154 1990's 181 154 180 4 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  17. Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 4 13 2 6 14 1 1 2 5 1990's 1 1 1 3 5 2 21 5 21 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  18. Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 7 8 6 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  19. Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 55 135 56 20 13 12 9 0 2 18 1990's 4,410 4,262 3,665 3,597 3,032 1 1 2 0 0 2000's 6 0 0 7 17 0 W 5 2 2 2010's 1 0 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016

  20. District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic

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

    Feet) Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 1 46 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016

  1. Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1 3 1 0 3 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  2. Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,190 2,993 2,899 2,775 2,449 2,655 2,630 2,461 2,801 2,844 1990's 2,817 2,725 2,711 2,705 2,831 2,793 2,761 2,617 2,715 2,752 2000's 2,769 2,689 2,602 2,602 2,626 2,606 2,613 2,683 2,559 2,447 2010's 2,472 2,467 2,510 2,658 2,743 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  3. Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 36,713 29,509 19,005 19,734 17,308 19,805 22,980 12,514 9,803 9,477 1990's 8,140 6,869 8,042 9,760 7,871 6,256 3,912 4,165 2,736 2,527 2000's 1,955 763 456 52 14 15 13 11 15 20 2010's 17 1 1 63 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  4. Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1,602 5,056 3,496 4,142 4,027 2,711 2,351 3,890 4,243 3,512 1990's 3,015 3,077 3,507 3,232 2,457 3,199 3,194 3,580 3,149 5,442 2000's 5,583 5,219 1,748 2,376 2,164 1,988 1,642 635 30 1 2010's 1 5 1 6 69 - = No Data Reported; -- = Not Applicable; NA = Not

  5. Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 57 64 68 23 53 45 44 40 34 82 1990's 81 46 45 84 123 96 301 137 17 12 2000's 44 39 23 143 30 31 46 40 27 3 2010's 2 1 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  6. New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,574 11,504 9,786 9,896 8,616 13,421 12,099 13,774 14,846 14,539 1990's 9,962 14,789 14,362 14,950 7,737 7,291 6,778 6,464 9,082 5,761 2000's 8,296 12,330 3,526 473 530 435 175 379 489 454 2010's 457 392 139 255 530 - = No Data Reported; -- = Not Applicable;

  7. New Mexico Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Mexico Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1 3 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  8. New York Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New York Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,226 4,722 2,350 1,646 1,792 1,797 707 416 728 1,239 1990's 385 678 1,190 1,638 1,460 1,490 1,259 881 699 459 2000's 858 970 1 18 8 14 4 13 7 6 2010's 2 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  9. North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 7 42 58 59 60 43 43 0 0 0 1990's 0 0 2 4 3 0 0 0 0 21 2000's 2 0 1 1 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  10. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 45,736 48,394 - = No

  11. Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 69,169 69,850 64,812 62,032 43,866 24,444 5,182 18 44 348 1990's 849 891 1,051 992 1,432 904 1,828 1,423 1,194 1,200 2000's 1,442 1,149 79 1,002 492 579 423 608 460 522 2010's 353 296 366 416 641 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  12. Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 3 6 6 10 10 6 3 1990's 3 4 2 3 2 2 2 2 2 3 2000's 2 2 5 5 2 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  13. Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 3 20 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  14. Kentucky Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Kentucky Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 42 2 131 259 94 4 1 0 6 44 1990's 2 2 5 16 50 6 45 24 2 3 2000's 10 2 1 98 0 15 3 124 15 18 2010's 5 8 1 29 52 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  15. Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 3 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  16. Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  17. Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 172 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  18. Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 1,838 63 2,006 2,470 2,689 2,142 2,199 1,948 2,088 1990's 2,361 2,032 1,437 791 890 15 315 134 11 4 2000's 339 6 1 13 39 16 19 33 28 18 2010's 12 9 4 2 376 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  19. Nevada Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Nevada Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 4 0 2 2 2 4 11 11 32 37 1990's 125 0 30 38 9 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  20. Agricultural and Environmental Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    K. Rasmuson; K. Rautenstrauch

    2004-09-14

    This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

  1. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06

    An architecture or layout for microchannel arrays using T or Cross (+) loading for electrophoresis or other injection and separation chemistry that are performed in microfluidic configurations. This architecture enables a very dense layout of arrays of functionally identical shaped channels and it also solves the problem of simultaneously enabling efficient parallel shapes and biasing of the input wells, waste wells, and bias wells at the input end of the separation columns. One T load architecture uses circular holes with common rows, but not columns, which allows the flow paths for each channel to be identical in shape, using multiple mirror image pieces. Another T load architecture enables the access hole array to be formed on a biaxial, collinear grid suitable for EDM micromachining (square holes), with common rows and columns.

  2. Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 50 23 91 9 54 14 3 2 17 16 1990's 320 332 171 410 69 0 18 21 2 4 2000's 0 0 0 22 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  3. Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 124 222 518 373 271 316 339 303 291 167 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  4. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON

    Office of Scientific and Technical Information (OSTI)

    INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS Wei Tang, Jian Chen, Xinghua Yu, David A. Frederick, Zhili Feng Oak Ridge National Laboratory, Oak Ridge, TN Keywords: Eurofer'97, friction stir welding, microstructure, microhardness Abstract Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed in recent years because of their improved irradiation

  5. PERSPECTIVES ON A DOE CONSEQUENCE INPUTS FOR ACCIDENT ANALYSIS APPLICATIONS

    SciTech Connect (OSTI)

    , K; Jonathan Lowrie, J; David Thoman , D; Austin Keller , A

    2008-07-30

    Department of Energy (DOE) accident analysis for establishing the required control sets for nuclear facility safety applies a series of simplifying, reasonably conservative assumptions regarding inputs and methodologies for quantifying dose consequences. Most of the analytical practices are conservative, have a technical basis, and are based on regulatory precedent. However, others are judgmental and based on older understanding of phenomenology. The latter type of practices can be found in modeling hypothetical releases into the atmosphere and the subsequent exposure. Often the judgments applied are not based on current technical understanding but on work that has been superseded. The objective of this paper is to review the technical basis for the major inputs and assumptions in the quantification of consequence estimates supporting DOE accident analysis, and to identify those that could be reassessed in light of current understanding of atmospheric dispersion and radiological exposure. Inputs and assumptions of interest include: Meteorological data basis; Breathing rate; and Inhalation dose conversion factor. A simple dose calculation is provided to show the relative difference achieved by improving the technical bases.

  6. Collecting and Characterizing Validation Data

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

    Characterizing Validation Data to Support Advanced Simulation of Nuclear Reactor Hydraulics Nam Dinh North Carolina State University Anh Bui Idaho National Laboratory Hyung Lee Bettis Laboratory ASME 2013 Verification and Validation Symposium Las Vegas, NV, May 22-24, 2013 Multi-Physics, Multi-Scale Problem Validation Hierarchy (Validation Pyramid) of Subcooled Boiling Flow Model Bayesian Framework for Data Integration Nuclear System Analysis - Subcooled Boiling Flow Example * Underlying physics

  7. Appendix I: Federal Energy Management Program (FEMP) inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  8. PV Validation and Bankability Workshop | Department of Energy

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

    presentation summarizes the information given by DOE during the Photovoltaic Validation and Bankability Workshop in San Jose, California, on August 31, 2011. PDF icon doe_lynn_pv_validation_2011_aug.pdf More Documents & Publications Overcoming the Barrier to Achieving Large-Scale Production - A Case Study Federal Energy Management Program Report Template Systems Integration (Fact Sheet), SunShot Initiative, U.S. Department of Energy (DOE)

  9. Safety Walkthrough Management

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

    Walkthrough Management

  10. Characterization of industrial process waste heat and input heat streams

    SciTech Connect (OSTI)

    Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

    1984-05-01

    The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

  11. Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Total Supplemental Supply of Natural Gas Alaska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual

  12. Contaminant transport in unconfined aquifer, input to low-level tank waste interim performance assessment

    SciTech Connect (OSTI)

    Lu, A.H., Westinghouse Hanford

    1996-08-14

    This report describes briefly the Hanford sitewide groundwater model and its application to the Low-Level Tank Waste Disposal (LLTWD) interim Performance Assessment (PA). The Well Intercept Factor (WIF) or dilution factor from a given areal flux entering the aquifer released from the LLTWD site are calculated for base case and various sensitivity cases. In conjunction with the calculation for released fluxes through vadose zone transport,the dose at the compliance point can be obtained by a simple multiplication. The relative dose contribution from the upstream sources was also calculated and presented in the appendix for an equal areal flux at the LLTWD site. The results provide input for management decisions on remediation action needed for reduction of the released fluxes from the upstream facilities to the allowed level to meet the required dose criteria.

  13. US Nuclear Regulatory Commission Input to DOE Request for Information...

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

    Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," US...

  14. Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model

    SciTech Connect (OSTI)

    Rogge, Nicky; De Jaeger, Simon

    2012-10-15

    Highlights: Black-Right-Pointing-Pointer Complexity in local waste management calls for more in depth efficiency analysis. Black-Right-Pointing-Pointer Shared-input Data Envelopment Analysis can provide solution. Black-Right-Pointing-Pointer Considerable room for the Flemish municipalities to improve their cost efficiency. - Abstract: This paper proposed an adjusted 'shared-input' version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment efforts of multiple municipal solid waste fractions. The main advantage of this version of DEA is that it not only provides an estimate of the municipalities overall cost efficiency but also estimates of the municipalities' cost efficiency in the treatment of the different fractions of municipal solid waste (MSW). To illustrate the practical usefulness of the shared input DEA-model, we apply the model to data on 293 municipalities in Flanders, Belgium, for the year 2008.

  15. Summary of Input Request for Information DE-FOA-0001346 | Department of

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

    Energy Input Request for Information DE-FOA-0001346 Summary of Input Request for Information DE-FOA-0001346 PDF icon September 2015 More Documents & Publications Summary of Stakeholder Input From May 2015 Request for Information Summary of Input Request for Information DE-FOA-0001346 DE-FOA-0001346 -- Request for Information (RFI) Summary of Input Request for Information DE-FOA-0001346

  16. Residential oil burners with low input and two stages firing

    SciTech Connect (OSTI)

    Butcher, T.; Krajewski, R.; Leigh, R.

    1997-12-31

    The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

  17. Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,868 9,133 8,877 7,927 9,137 8,934 8,095 8,612 10,322 9,190 1990's 15,379 6,778 7,158 8,456 8,168 7,170 6,787 6,314 5,292 4,526 2000's 4,772 5,625 5,771 5,409 5,308 5,285 6,149 6,869 6,258 7,527 2010's 5,148 4,268 4,412 4,077 4,120 - = No Data Reported; -- = Not

  18. RF Input Power Couplers for High Current SRF Applications

    SciTech Connect (OSTI)

    Khan, V. F.; Anders, W.; Burrill, Andrew; Knobloch, Jens; Kugeler, Oliver; Neumann, Axel; Wang, Haipeng

    2014-12-01

    High current SRF technology is being explored in present day accelerator science. The bERLinPro project is presently being built at HZB to address the challenges involved in high current SRF machines with the goal of generating and accelerating a 100 mA electron beam to 50 MeV in continuous wave (cw) mode at 1.3 GHz. One of the main challenges in this project is that of handling the high input RF power required for the photo-injector as well as booster cavities where there is no energy recovery process. A high power co-axial input power coupler is being developed to be used for the photo-injector and booster cavities at the nominal beam current. The coupler is based on the KEK–cERL design and has been modified to minimise the penetration of the coupler tip in the beam pipe without compromising on beam-power coupling (Qext ~105). Herein we report on the RF design of the high power (115 kW per coupler, dual couplers per cavity) bERLinPro (BP) coupler along with initial results on thermal calculations. We summarise the RF conditioning of the TTF-III couplers (modified for cw operation) performed in the past at BESSY/HZB. A similar conditioning is envisaged in the near future for the low current SRF photo-injector and the bERLinPro main linac cryomodule.

  19. Heat transfer analysis in Stirling engine heat input system

    SciTech Connect (OSTI)

    Chung, W.; Kim, S.

    1995-12-31

    One of the major factor in commercialization of Stirling engine is mass productivity, and the heat input system including tubular heater is one of the obstacles to mass production because of its complexity in shape and difficulty in manufacturing, which resulted from using oxidation-resistant, low-creep alloys which are not easy to machine and weld. Therefore a heater heat exchanger which is very simple in shape and easy to make has been devised, and a burner system appropriate to this heater also has been developed. In this paper specially devised heat input system which includes a heater shell shaped like U-cup and a flame tube located in the heater shell is analyzed in point of heat transfer processes to find optimum heat transfer. To enhance the heat transfer from the flame tube to the heater shell wall, it is required that the flame tube diameter be enlarged as close to the heater shell diameter as possible, and the flame tube temperature be raised as high as possible. But the enlargement of the flame tube diameter should be restricted by the state of combustion affected by hydraulic resistance of combustion gas, and the boost of the flame tube temperature should be considered carefully in the aspects of the flame tube`s service life.

  20. Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs

    SciTech Connect (OSTI)

    Woods, J.; Winkler, J.; Christensen, D.; Hancock, E.

    2014-08-01

    Building energy simulations can be used to predict a building's interior conditions, along with the energy use associated with keeping these conditions comfortable. These models simulate the loads on the building (e.g., internal gains, envelope heat transfer), determine the operation of the space conditioning equipment, and then calculate the building's temperature and humidity throughout the year. The indoor temperature and humidity are affected not only by the loads and the space conditioning equipment, but also by the capacitance of the building materials, which buffer changes in temperature and humidity. This research developed an empirical method to extract whole-house model inputs for use with a more accurate moisture capacitance model (the effective moisture penetration depth model). The experimental approach was to subject the materials in the house to a square-wave relative humidity profile, measure all of the moisture transfer terms (e.g., infiltration, air conditioner condensate) and calculate the only unmeasured term: the moisture absorption into the materials. After validating the method with laboratory measurements, we performed the tests in a field house. A least-squares fit of an analytical solution to the measured moisture absorption curves was used to determine the three independent model parameters representing the moisture buffering potential of this house and its furnishings. Follow on tests with realistic latent and sensible loads showed good agreement with the derived parameters, especially compared to the commonly-used effective capacitance approach. These results show that the EMPD model, once the inputs are known, is an accurate moisture buffering model.

  1. EERE Program Management Guide - Chapter 6 | Department of Energy

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

    6 EERE Program Management Guide - Chapter 6 Chapter 6 of this guide includes general concepts on program implementation such as identifying work to be performed, field input, funding work, and procurement, and financial assistance. PDF icon pmguide_chapter_6.pdf More Documents & Publications EERE Program Management Guide - Appendix Q EERE Program Management Guide - Chapter 2 EERE Program Management Quick Reference Guide

  2. Syngas Mixed Alcohol Cost Validation

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

    1, 2013 DOE Bioenergy Technologies Office: Project Peer Review Syngas Mixed Alcohol Cost Validation Abhijit Dutta, NREL This presentation does not contain any proprietary, ...

  3. EO 13690: Establishing a Federal Flood Risk Management Standard and a

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

    Process for Further Soliciting and Considering Stakeholder Input (2015) | Department of Energy 690: Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input (2015) EO 13690: Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input (2015) Executive Order (E.O.) 13690, Establishing a Federal Flood Risk Management Standard [FFRMS] and a Process for Further

  4. MULTIPLE INPUT BINARY ADDER EMPLOYING MAGNETIC DRUM DIGITAL COMPUTING APPARATUS

    DOE Patents [OSTI]

    Cooke-Yarborough, E.H.

    1960-12-01

    A digital computing apparatus is described for adding a plurality of multi-digit binary numbers. The apparatus comprises a rotating magnetic drum, a recording head, first and second reading heads disposed adjacent to the first and second recording tracks, and a series of timing signals recorded on the first track. A series of N groups of digit-representing signals is delivered to the recording head at time intervals corresponding to the timing signals, each group consisting of digits of the same significance in the numbers, and the signal series is recorded on the second track of the drum in synchronism with the timing signals on the first track. The multistage registers are stepped cyclically through all positions, and each of the multistage registers is coupled to the control lead of a separate gate circuit to open the corresponding gate at only one selected position in each cycle. One of the gates has its input coupled to the bistable element to receive the sum digit, and the output lead of this gate is coupled to the recording device. The inputs of the other gates receive the digits to be added from the second reading head, and the outputs of these gates are coupled to the adding register. A phase-setting pulse source is connected to each of the multistage registers individually to step the multistage registers to different initial positions in the cycle, and the phase-setting pulse source is actuated each N time interval to shift a sum digit to the bistable element, where the multistage register coupled to bistable element is operated by the phase- setting pulse source to that position in its cycle N steps before opening the first gate, so that this gate opens in synchronism with each of the shifts to pass the sum digits to the recording head.

  5. PV Validation and Bankability Workshop | Department of Energy

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

    document summarizes the information given on Aug. 29, 2011, on the survey results of the PV Validation and Bankability Workshop on Aug. 31, 2011. PDF icon pv_vb_surveyresults.pdf More Documents & Publications Federal Energy Management Program Report Template Focus Group Meeting (Activities Status) RFI: DOE Materials Strategy

  6. Software Verification and Validation Procedure

    SciTech Connect (OSTI)

    Olund, Thomas S.

    2008-09-15

    This Software Verification and Validation procedure provides the action steps for the Tank Waste Information Network System (TWINS) testing process. The primary objective of the testing process is to provide assurance that the software functions as intended, and meets the requirements specified by the client. Verification and validation establish the primary basis for TWINS software product acceptance.

  7. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends...

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

    Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines June 22, 2015 - ...

  8. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, R.E. Jr.; Johnson, S.A.

    1994-10-11

    An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

  9. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, Jr., Ronald E.; Johnson, Steve A.

    1994-01-01

    An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

  10. Geological input to reservoir simulation, Champion Field, offshore Brunei

    SciTech Connect (OSTI)

    Carter, R.; Salahudin, S.; Ho, T.C.

    1994-07-01

    Brunei Shell Petroleum's giant Champion field is in a mature stage of development with about 23 yr of production history to date. The field comprises a complex sequence of Miocene shallow marine and deltaic layered clastic reservoirs cut by numerous growth faults. This study was aimed at providing a quantified estimate of the effect of lateral and vertical discontinuities within the I and J reservoirs on the recovery for both depletion drive and in a waterflood, with a view to identifying the optimal method of completing the development of the oil reserves in this area. Geological input to the ECLIPSE simulator was aimed at quantifying two key parameters: (1) STOIIP connected to the well bore and (2) permeability contrast. Connected STOIIP is a function of the domain size of interconnected sand bodies, and this parameter was quantified by the use of detailed sedimentology resulting in sand-body facies maps for each reservoir sublayer. Permeability contrast was quantified by using a wireline-log based algorithm, calibrated against core data, which improved the existing accuracy of permeability estimates in this part of the field. Results of simulation runs illustrate the importance of quantifying geologic heterogeneity and provide valuable information for future field development planning.

  11. Guidance for FY2014 Facilities Information Management System...

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

    Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations Deputy Secretary Memo on Improving DOE-wide Recruitment and Hiring Processes FY2012 Three ...

  12. Enterprise Assessments Review of the Pantex Plant Emergency Management...

    Energy Savers [EERE]

    the exercise program's effectiveness in validating, through tests and demonstrations, response elements of the Pantex emergency management program. EA performed this review...

  13. System maintenance verification and validation plan for the TWRS controlled baseline database system

    SciTech Connect (OSTI)

    Spencer, S.G.

    1998-09-23

    TWRS Controlled Baseline Database, formally known as the Performance Measurement Control System, is used to track and monitor TWRS project management baseline information. This document contains the verification and validation approach for system documentation changes within the database system.

  14. Advanced Supply System Validation Workshop

    Broader source: Energy.gov [DOE]

    The Bioenergy Technologies Office (BETO) is hosting the Advanced Supply System Validation Workshop on February 3-4, 2015, in Golden, Colorado. The purpose of the workshop is to bring together a...

  15. VERA-CS Validation Plan

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

    4 VERA-CS Validation Plan Andrew T. Godfrey Oak Ridge National Laboratory October 21, 2014 CASL-U-2014-0185-000 VERA-CS Validation Plan Consortium for Advanced Simulation of LWRs ii CASL-U-2014-0185-000 REVISION LOG Revision Date Affected Pages Revision Description 0 10/21/2014 All Original Release Document pages that are: Export Controlled __None________________________________________________ IP/Proprietary/NDA Controlled__None______________________________________ Sensitive

  16. Technology Validation | Department of Energy

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

    Technology Validation Technology Validation In addition to the technical challenges being addressed through research, design, and development, there are obstacles to successful implementation of fuel cells and the corresponding hydrogen infrastructure that can be addressed only by integrating the components into complete systems. After a technology achieves its technical targets in the laboratory, the next step is to show that it can work as designed within complete systems (i.e., fuel cell

  17. Impact of Battery Management on Fuel Efficiency Validity | Department of

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

    Powering America Initiative | Department of Energy presents an evaluation of the impacts and processes of the former Wind Powering America (WPA) initiative sponsored by the U.S. Department of Energy (DOE). WPA has an underlying goal of dramatically increasing the use of wind energy in the U.S. DOE established WPA in 1999 to educate, engage, and enable critical stakeholders to make informed decisions about how wind energy contributes to the U.S. electricity supply. The initiative has an

  18. Oil field management system

    DOE Patents [OSTI]

    Fincke, James R.

    2003-09-23

    Oil field management systems and methods for managing operation of one or more wells producing a high void fraction multiphase flow. The system includes a differential pressure flow meter which samples pressure readings at various points of interest throughout the system and uses pressure differentials derived from the pressure readings to determine gas and liquid phase mass flow rates of the high void fraction multiphase flow. One or both of the gas and liquid phase mass flow rates are then compared with predetermined criteria. In the event such mass flow rates satisfy the predetermined criteria, a well control system implements a correlating adjustment action respecting the multiphase flow. In this way, various parameters regarding the high void fraction multiphase flow are used as control inputs to the well control system and thus facilitate management of well operations.

  19. High Flux Isotope Reactor system RELAP5 input model

    SciTech Connect (OSTI)

    Morris, D.G.; Wendel, M.W.

    1993-01-01

    A thermal-hydraulic computational model of the High Flux Isotope Reactor (HFIR) has been developed using the RELAP5 program. The purpose of the model is to provide a state-of-the art thermal-hydraulic simulation tool for analyzing selected hypothetical accident scenarios for a revised HFIR Safety Analysis Report (SAR). The model includes (1) a detailed representation of the reactor core and other vessel components, (2) three heat exchanger/pump cells, (3) pressurizing pumps and letdown valves, and (4) secondary coolant system (with less detail than the primary system). Data from HFIR operation, component tests, tests in facility mockups and the HFIR, HFIR specific experiments, and other pertinent experiments performed independent of HFIR were used to construct the model and validate it to the extent permitted by the data. The detailed version of the model has been used to simulate loss-of-coolant accidents (LOCAs), while the abbreviated version has been developed for the operational transients that allow use of a less detailed nodalization. Analysis of station blackout with core long-term decay heat removal via natural convection has been performed using the core and vessel portions of the detailed model.

  20. Quality data validation: Comprehensive approach to environmental data validation

    SciTech Connect (OSTI)

    Matejka, L.A. Jr.

    1993-10-01

    Environmental data validation consists of an assessment of three major areas: analytical method validation; field procedures and documentation review; evaluation of the level of achievement of data quality objectives based in part on PARCC parameters analysis and expected applications of data. A program utilizing matrix association of required levels of validation effort and analytical levels versus applications of this environmental data was developed in conjunction with DOE-ID guidance documents to implement actions under the Federal Facilities Agreement and Consent Order in effect at the Idaho National Engineering Laboratory. This was an effort to bring consistent quality to the INEL-wide Environmental Restoration Program and database in an efficient and cost-effective manner. This program, documenting all phases of the review process, is described here.

  1. Combined Effects of Gravity, Bending Moment, Bearing Clearance, and Input Torque on Wind Turbine Planetary Gear Load Sharing: Preprint

    SciTech Connect (OSTI)

    Guo, Y.; Keller, J.; LaCava, W.

    2012-09-01

    This computational work investigates planetary gear load sharing of three-mount suspension wind turbine gearboxes. A three dimensional multibody dynamic model is established, including gravity, bending moments, fluctuating mesh stiffness, nonlinear tooth contact, and bearing clearance. A flexible main shaft, planetary carrier, housing, and gear shafts are modeled using reduced degrees-of-freedom through modal compensation. This drivetrain model is validated against the experimental data of Gearbox Reliability Collaborative for gearbox internal loads. Planet load sharing is a combined effect of gravity, bending moment, bearing clearance, and input torque. Influences of each of these parameters and their combined effects on the resulting planet load sharing are investigated. Bending moments and gravity induce fundamental excitations in the rotating carrier frame, which can increase gearbox internal loads and disturb load sharing. Clearance in carrier bearings reduces the bearing load carrying capacity and thus the bending moment from the rotor can be transmitted into gear meshes. With bearing clearance, the bending moment can cause tooth micropitting and can induce planet bearing fatigue, leading to reduced gearbox life. Planet bearings are susceptible to skidding at low input torque.

  2. Validated SCR Concept Development | Department of Energy

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

    Validated SCR Concept Development Validated SCR Concept Development Poster presentation at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 ...

  3. New Executive Order Establishes a Federal Flood Risk Management Standard

    Broader source: Energy.gov [DOE]

    President Obama signed Executive Order (E.O.) 13690, Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input, on January 30, 2015.

  4. New Executive Order Establishes a Federal Flood Risk Management...

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

    (E.O.) 13690, Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input, on January 30, 2015. The new E.O. ...

  5. Development of Earthquake Ground Motion Input for Preclosure Seismic Design and Postclosure Performance Assessment of a Geologic Repository at Yucca Mountain, NV

    SciTech Connect (OSTI)

    I. Wong

    2004-11-05

    This report describes a site-response model and its implementation for developing earthquake ground motion input for preclosure seismic design and postclosure assessment of the proposed geologic repository at Yucca Mountain, Nevada. The model implements a random-vibration theory (RVT), one-dimensional (1D) equivalent-linear approach to calculate site response effects on ground motions. The model provides results in terms of spectral acceleration including peak ground acceleration, peak ground velocity, and dynamically-induced strains as a function of depth. In addition to documenting and validating this model for use in the Yucca Mountain Project, this report also describes the development of model inputs, implementation of the model, its results, and the development of earthquake time history inputs based on the model results. The purpose of the site-response ground motion model is to incorporate the effects on earthquake ground motions of (1) the approximately 300 m of rock above the emplacement levels beneath Yucca Mountain and (2) soil and rock beneath the site of the Surface Facilities Area. A previously performed probabilistic seismic hazard analysis (PSHA) (CRWMS M&O 1998a [DIRS 103731]) estimated ground motions at a reference rock outcrop for the Yucca Mountain site (Point A), but those results do not include these site response effects. Thus, the additional step of applying the site-response ground motion model is required to develop ground motion inputs that are used for preclosure and postclosure purposes.

  6. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small

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

    Engines | Department of Energy Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines June 22, 2015 - 4:39pm Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's Bioenergy Technologies Office has released a Request for Information (RFI) seeking stakeholder input on the following topics related to the use of advanced biofuel blends in small engines:

  7. DOE Seeking Input on Alternative Uses of Nickel Inventory | Department of

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

    Energy Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will

  8. DOE Seeks Additional Input on Next Generation Nuclear Plant | Department of

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

    Energy Additional Input on Next Generation Nuclear Plant DOE Seeks Additional Input on Next Generation Nuclear Plant April 17, 2008 - 10:49am Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today announced it is seeking public and industry input on how to best achieve the goals and meet the requirements for the Next Generation Nuclear Plant (NGNP) demonstration project work at DOE's Idaho National Laboratory. DOE today issued a Request for Information and Expressions of Interest

  9. A Requirement for Significant Reduction in the Maximum BTU Input Rate of

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

    Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers | Department of Energy A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers Comment that a requirement to reduce the BTU input rate of existing decorative

  10. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratorys Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  11. Rail-to-rail differential input amplification stage with main and surrogate differential pairs

    DOE Patents [OSTI]

    Britton, Jr., Charles Lanier; Smith, Stephen Fulton

    2007-03-06

    An operational amplifier input stage provides a symmetrical rail-to-rail input common-mode voltage without turning off either pair of complementary differential input transistors. Secondary, or surrogate, transistor pairs assume the function of the complementary differential transistors. The circuit also maintains essentially constant transconductance, constant slew rate, and constant signal-path supply current as it provides rail-to-rail operation.

  12. BETO Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks

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

    | Department of Energy Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks BETO Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks September 3, 2015 - 4:09pm Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's Bioenergy Technologies Office (BETO) has released a Request for Information (RFI) titled "High Yields through Productivity and Integration Research." BETO is seeking input from industry, academia,

  13. Initial validation of FORCE2

    SciTech Connect (OSTI)

    Burge, S.W.

    1991-06-01

    Erosion has been identified as one of the significant design issues in fluid beds. A cooperative R&D venture of industry, research, and government organizations was recently formed to meet the industry need for a better understanding of erosion in fluid beds. Research focussed on bed hydrodynamics, which are considered to be the primary erosion mechanism. As part of this work, ANL developed an analytical model (FLUFIX) for bed hydrodynamics. Partial validation was performed using data from experiments sponsored by the research consortium. Development of a three-dimensional fluid bed hydrodynamic model was part of Asea-Babcock`s in-kind contribution to the R&D venture. This model, FORCE2, was developed by Babcock & Wilcox`s Research and Development Division existing B&W program and on the gas-solids modeling and was based on an existing B&W program and on the gas-solids modeling technology developed by ANL and others. FORCE2 contains many of the features needed to model plant size beds and, therefore can be used along with the erosion technology to assess metal wastage in industrial equipment. As part of the development efforts, FORCE2 was partially validated using ANL`s two-dimensional model, FLUFIX, and experimental data. Time constraints as well as the lack of good hydrodynamic data, particularly at the plant scale, prohibited a complete validation of FORCE2. This report describes this initial validation of FORCE2.

  14. SRTC input to DOE-HQ R and D database for FY99

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    2000-01-05

    This is a database of the Savannah River Site input to the DOE Research and Development database. The report contains approximately 50 project abstracts.

  15. Summary of Input to DOE Request for Information DE-FOA-0000225

    Broader source: Energy.gov [DOE]

    Presentation on Sumary of Input to DOE Request for Information DE-FOA-0000225 - U.S. DOE Fuel Cells Technology Program

  16. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION...

    Office of Scientific and Technical Information (OSTI)

    are an important class of structural materials for fusion reactor internals developed ... among welding heat input, weld structure characterization and mechanical properties. ...

  17. [Composite analysis E-area vaults and saltstone disposal facilities]. PORFLOW and FACT input files

    SciTech Connect (OSTI)

    Cook, J.R.

    1997-09-01

    This diskette contains the PORFLOW and FACT input files described in Appendix B of the accompanying report `Composite Analysis E-Area Vaults and Saltstone Disposal Facilities`.

  18. Table A45. Total Inputs of Energy for Heat, Power, and Electricity...

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building ...

  19. Role of the nonperturbative input in QCD resummed Drell-Yan Q...

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Search Results Journal Article: Role of the nonperturbative input in QCD ... Sponsoring Org: (US) Country of Publication: United States Language: English Subject: 71 ...

  20. Table A55. Number of Establishments by Total Inputs of Energy...

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity ... Industry","Total(b)","Bed Boilers","Heat Recovery","Turbines","Heat Recovery","Processes",...

  1. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  2. Chemical Management

    Energy Savers [EERE]

    DOE-HDBK-11391-2006 May 2006 DOE HANDBOOK CHEMICAL MANAGEMENT (Volume 1 of 3) U.S. ... and contractor managers in assessing chemical hazard management and is approved for ...

  3. Project Management

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

    Project Management Project Management MaRIE is the experimental facility needed to control the time-dependent properties of materials for national security science missions. It ...

  4. Deactivation Management

    Broader source: Energy.gov [DOE]

    The purpose here is to provide information for specific aspects of project management that apply to deactivation. Overall management of deactivation projects should use a traditional project...

  5. Computer memory management system

    DOE Patents [OSTI]

    Kirk, III, Whitson John

    2002-01-01

    A computer memory management system utilizing a memory structure system of "intelligent" pointers in which information related to the use status of the memory structure is designed into the pointer. Through this pointer system, The present invention provides essentially automatic memory management (often referred to as garbage collection) by allowing relationships between objects to have definite memory management behavior by use of coding protocol which describes when relationships should be maintained and when the relationships should be broken. In one aspect, the present invention system allows automatic breaking of strong links to facilitate object garbage collection, coupled with relationship adjectives which define deletion of associated objects. In another aspect, The present invention includes simple-to-use infinite undo/redo functionality in that it has the capability, through a simple function call, to undo all of the changes made to a data model since the previous `valid state` was noted.

  6. Validating Solar Innovation to Power

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

    Solar Innovation to Power Our Future The U.S. Department of Energy (DOE) has established five Regional Test Centers (RTCs) in New Mexico, Colorado, Florida, Nevada, and Vermont to demonstrate the bankability of new technologies. Funded by DOE's SunShot Initiative, the RTCs are part of a broad national effort to make solar energy cost- competitive with other forms of electricity by 2020. The RTCs validate new solar technologies and systems configurations, demonstrating performance and

  7. Conference Management

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

    1999-11-03

    To establish requirements and responsibilities with respect to managing conferences sponsored by the Department of Energy (DOE) or by DOE management and operating contractors and other contractors who perform work at DOE-owned or -leased facilities, including management and integration contractors and environmental restoration management contractors (when using funds that will be reimbursed by DOE). Cancels DOE N 110.3.

  8. Why do verification and validation?

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

    Hu, Kenneth T.; Paez, Thomas L.

    2016-02-19

    In this discussion paper, we explore different ways to assess the value of verification and validation (V&V) of engineering models. We first present a literature review on the value of V&V and then use value chains and decision trees to show how value can be assessed from a decision maker's perspective. In this context, the value is what the decision maker is willing to pay for V&V analysis with the understanding that the V&V results are uncertain. As a result, the 2014 Sandia V&V Challenge Workshop is used to illustrate these ideas.

  9. Role of the nonperturbative input in QCD resummed Drell-Yan Q{sub T}

    Office of Scientific and Technical Information (OSTI)

    distributions (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Role of the nonperturbative input in QCD resummed Drell-Yan Q{sub T} distributions Citation Details In-Document Search Title: Role of the nonperturbative input in QCD resummed Drell-Yan Q{sub T} distributions We analyze the role of the nonperturbative input in the Collins-Soper-Sterman (CSS) b-space QCD resummation formalism for Drell-Yan transverse momentum (Q{sub T}) distributions, and

  10. SNS Sample Activation Calculator Flux Recommendations and Validation

    SciTech Connect (OSTI)

    McClanahan, Tucker C.; Gallmeier, Franz X.; Iverson, Erik B.; Lu, Wei

    2015-02-01

    The Spallation Neutron Source (SNS) at Oak Ridge National Laboratory (ORNL) uses the Sample Activation Calculator (SAC) to calculate the activation of a sample after the sample has been exposed to the neutron beam in one of the SNS beamlines. The SAC webpage takes user inputs (choice of beamline, the mass, composition and area of the sample, irradiation time, decay time, etc.) and calculates the activation for the sample. In recent years, the SAC has been incorporated into the user proposal and sample handling process, and instrument teams and users have noticed discrepancies in the predicted activation of their samples. The Neutronics Analysis Team validated SAC by performing measurements on select beamlines and confirmed the discrepancies seen by the instrument teams and users. The conclusions were that the discrepancies were a result of a combination of faulty neutron flux spectra for the instruments, improper inputs supplied by SAC (1.12), and a mishandling of cross section data in the Sample Activation Program for Easy Use (SAPEU) (1.1.2). This report focuses on the conclusion that the SAPEU (1.1.2) beamline neutron flux spectra have errors and are a significant contributor to the activation discrepancies. The results of the analysis of the SAPEU (1.1.2) flux spectra for all beamlines will be discussed in detail. The recommendations for the implementation of improved neutron flux spectra in SAPEU (1.1.3) are also discussed.

  11. Uncertainty in verification and validation: recent perspective...

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Language: English Subject: 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; VALIDATION; VERIFICATION; COMPUTER ...

  12. Technology Validation Fact Sheet | Department of Energy

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

    Technology Validation Fact Sheet Technology Validation Fact Sheet Fact sheet produced by the Fuel Cell Technologies Office describing hydrogen and fuel cell technology validation efforts (September 2013). PDF icon Technology Validation More Documents & Publications Tri-Generation Success Story: World's First Tri-Gen Energy Station-Fountain Valley Fuel Cell Technologies Program Overview: 2012 DOE Polymer and Composite Materials Meetings Fuel Cell Technologies Program Overview: 2012 IEA HIA

  13. LBE Natural Circulation Fluid Dynamics Validation Project

    SciTech Connect (OSTI)

    Voit, Regan; Prince, Robert; Cacuci, Dan G.

    2015-12-20

    Conceptual design of a scaled Natural Circulation Experimental Facility (NCEF) for providing data in support of validating reactor design codes.

  14. Validation of a Hot Water Distribution Model Using Laboratory and Field Data

    SciTech Connect (OSTI)

    Backman, C.; Hoeschele, M.

    2013-07-01

    Characterizing the performance of hot water distribution systems is a critical step in developing best practice guidelines for the design and installation of high performance hot water systems. Developing and validating simulation models is critical to this effort, as well as collecting accurate input data to drive the models. In this project, the ARBI team validated the newly developed TRNSYS Type 604 pipe model against both detailed laboratory and field distribution system performance data. Validation efforts indicate that the model performs very well in handling different pipe materials, insulation cases, and varying hot water load conditions. Limitations of the model include the complexity of setting up the input file and long simulation run times. In addition to completing validation activities, this project looked at recent field hot water studies to better understand use patterns and potential behavioral changes as homeowners convert from conventional storage water heaters to gas tankless units. Based on these datasets, we conclude that the current Energy Factor test procedure overestimates typical use and underestimates the number of hot water draws. This has implications for both equipment and distribution system performance. Gas tankless water heaters were found to impact how people use hot water, but the data does not necessarily suggest an increase in usage. Further study in hot water usage and patterns is needed to better define these characteristics in different climates and home vintages.

  15. Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input

    Broader source: Energy.gov [DOE]

    The study entitled, “Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input,” focuses on the issue of showing compliance with given...

  16. Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers’ and Worker Representatives’ Input in Work Planning and Control.

  17. Tribes Provide Input on 10-Year Plan for Renewable Energy in the Arctic Region

    Broader source: Energy.gov [DOE]

    The DOE Office of Indian Energy hosted a second round of tribal consultations and outreach meetings throughout Alaska in February and March to gather input on the National Strategy for the Arctic Region (NSAR).

  18. DOE Seeks Further Public Input on How Best To Streamline Existing...

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

    DOE Seeks Further Public Input on How Best To Streamline Existing Regulations December 7, 2011 - 12:34pm Addthis The Department of Energy (DOE) has announced a further step to ...

  19. Microsoft PowerPoint - OTT RFI Summary of Input_Public_Oct 2015

    Energy Savers [EERE]

    Input Request for Information DE-FOA-0001346 September 2015 Prepared for the Office of Technology Transitions and Technology Transfer Policy Board 1 Note: the views expressed in this document solely reflect the input received from the RFI respondents and do not necessarily represent DOE's perspective. 13 10 8 7 6 5 4 2 24% 18% 15% 13% 11% 9% 7% 4% 0 5 10 15 Industry National Labs Funding Contractors Academic Tech commercialization consultants Independent Research Organizations Other Number of

  20. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION

    Office of Scientific and Technical Information (OSTI)

    FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS (Conference) | SciTech Connect HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS Citation Details In-Document Search Title: HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed

  1. USDA, Departments of Energy and Navy Seek Input from Industry to Advance

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

    Biofuels for Military and Commercial Transportation | Department of Energy Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation August 30, 2011 - 12:23pm Addthis WASHINGTON, Aug. 30, 2011 -Secretary of Agriculture Tom Vilsack, Secretary of Energy Steven Chu, and Secretary of the Navy Ray Mabus today

  2. First QER Report Incorporates Tribal Input on U.S. Transmission System

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

    Updates | Department of Energy First QER Report Incorporates Tribal Input on U.S. Transmission System Updates First QER Report Incorporates Tribal Input on U.S. Transmission System Updates April 23, 2015 - 1:16pm Addthis Affordable, clean, and secure energy and energy services are essential for improving U.S. economic productivity, enhancing quality of life, protecting the environment, and ensuring national security. To help the federal government meet these energy goals, President Obama

  3. DOE Seeks Further Public Input on How Best To Streamline Existing

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

    Regulations | Department of Energy Further Public Input on How Best To Streamline Existing Regulations DOE Seeks Further Public Input on How Best To Streamline Existing Regulations December 7, 2011 - 12:34pm Addthis The Department of Energy (DOE) has announced a further step to implementing the President's Executive Order on Improving Regulatory Review. The Executive Order directs federal agencies to review existing regulations and determine whether they are still necessary and crafted

  4. Microsoft Word - EM_CM_3_Risk_Management_Best Practices and Gaps...

    Energy Savers [EERE]

    risk procedures; available personnel and their skill levels relative to risk management; and available data and its validation. Attachment 2 lists the Best Practices...

  5. MANAGEMENT ALERT

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

    COMMISSION FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert: Review of Allegations of Improper Disclosure of Confidential, Nonpublic...

  6. DEACTIVATION MANAGEMENT

    Office of Environmental Management (EM)

    MANAGEMENT The purpose here is to provide information for specific aspects of project management that apply to deactivation. Overall management of deactivation projects should use a traditional project management approach, and as such is not addressed. The following specific topics are based on lessons learned during deactivation of DOE facilities.  The Deactivation Mission  The Stabilization/Deactivation "Customer"  Project Approach for a Complex Facility  Establishing the

  7. PV Validation and Bankability Workshop | Department of Energy

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

    PV Validation and Bankability Workshop PV Validation and Bankability Workshop This presentation summarizes the information given by DOE during the Photovoltaic Validation and...

  8. Environmental Management Waste Management Facility (EMWMF) at...

    Office of Environmental Management (EM)

    Review of the Environmental Management Waste Management Facility (EMWMF) at Oak Ridge ... INTRODUCTION The Environmental Management Waste Management Facility (EMWMF) is a land ...

  9. Teaching Managers How to Manage

    SciTech Connect (OSTI)

    Hylko, J.M.

    2006-07-01

    Following graduation from a college or university with a technical degree, or through years of experience, an individual's training and career development activities typically focus on enhancing technical problem-solving skills. However, as these technical professionals, herein referred to as 'Techies', advance throughout their careers, they may be required to accept and adapt to the role of being a manager, and must undergo a transition to learn and rely on new problem-solving skills. However, unless a company has a specific manager-trainee class to address this subject and develop talent from within, an employee's management style is learned and developed 'on the job'. Both positive and negative styles are nurtured by those managers having similar qualities. Unfortunately, a negative style often contributes to the deterioration of employee morale and ultimate closing of a department or company. This paper provides the core elements of an effective management training program for 'Teaching Managers How to Manage' derived from the Department of Energy's Integrated Safety Management System and the Occupational Safety and Health Administration 's Voluntary Protection Program. Discussion topics and real-life examples concentrate on transitioning an employee from a 'Techie' to a manager; common characteristics of being a manager; the history and academic study of management; competition, change and the business of waste management; what to do after taking over a department by applying Hylko's Star of Success; command media; the formal and informal organizational charts; chain of command; hiring and developing high-degree, autonomous employees through effective communication and delegation; periodic status checks; and determining if the program is working successfully. These common characteristics of a strong management/leadership culture and practical career tips discussed herein provide a solid foundation for any company or department that is serious about developing an effective management training program for its employees. In turn, any employee in any work environment can begin using this information immediately if they want to become a better manager. (authors)

  10. Hydromechanical transmission with two planetary assemblies that are clutchable to both the input and output shafts

    DOE Patents [OSTI]

    Orshansky, Jr., deceased, Elias; Weseloh, William E.

    1979-01-01

    A power transmission having two planetary assemblies, each having its own carrier and its own planet, sun, and ring gears. A speed-varying module is connected in driving relation to the input shaft and in driving relationship to the two sun gears, which are connected together. The speed-varying means may comprise a pair of hydraulic units hydraulically interconnected so that one serves as a pump while the other serves as a motor and vice versa, one of the units having a variable stroke and being connected in driving relation to the input shaft, the other unit, which may have a fixed stroke, being connected in driving relation to the sun gears. A brake grounds the first carrier in the first range and in reverse and causes drive to be delivered to the output shaft through the first ring gear in a hydrostatic mode, the first ring gear being rigidly connected to the output shaft. The input shaft also is clutchable to either the carrier or the ring gear of the second planetary assembly. The output shaft is also clutchable to the carrier of the second planetary assembly when the input is clutched to the ring gear of the second planetary assembly, and is clutchable to the ring gear of the second planetary assembly when the input is clutched to the carrier thereof.

  11. ISOTHERMAL AIR INGRESS VALIDATION EXPERIMENTS

    SciTech Connect (OSTI)

    Chang H Oh; Eung S Kim

    2011-09-01

    Idaho National Laboratory carried out air ingress experiments as part of validating computational fluid dynamics (CFD) calculations. An isothermal test loop was designed and set to understand the stratified-flow phenomenon, which is important as the initial air flow into the lower plenum of the very high temperature gas cooled reactor (VHTR) when a large break loss-of-coolant accident occurs. The unique flow characteristics were focused on the VHTR air-ingress accident, in particular, the flow visualization of the stratified flow in the inlet pipe to the vessel lower plenum of the General Atomic’s Gas Turbine-Modular Helium Reactor (GT-MHR). Brine and sucrose were used as heavy fluids, and water was used to represent a light fluid, which mimics a counter current flow due to the density difference between the stimulant fluids. The density ratios were changed between 0.87 and 0.98. This experiment clearly showed that a stratified flow between simulant fluids was established even for very small density differences. The CFD calculations were compared with experimental data. A grid sensitivity study on CFD models was also performed using the Richardson extrapolation and the grid convergence index method for the numerical accuracy of CFD calculations . As a result, the calculated current speed showed very good agreement with the experimental data, indicating that the current CFD methods are suitable for predicting density gradient stratified flow phenomena in the air-ingress accident.

  12. Seismic Data Gathering and Validation

    SciTech Connect (OSTI)

    Coleman, Justin

    2015-02-01

    Three recent earthquakes in the last seven years have exceeded their design basis earthquake values (so it is implied that damage to SSCs should have occurred). These seismic events were recorded at North Anna (August 2011, detailed information provided in [Virginia Electric and Power Company Memo]), Fukushima Daichii and Daini (March 2011 [TEPCO 1]), and Kaswazaki-Kariwa (2007, [TEPCO 2]). However, seismic walk downs at some of these plants indicate that very little damage occurred to safety class systems and components due to the seismic motion. This report presents seismic data gathered for two of the three events mentioned above and recommends a path for using that data for two purposes. One purpose is to determine what margins exist in current industry standard seismic soil-structure interaction (SSI) tools. The second purpose is the use the data to validated seismic site response tools and SSI tools. The gathered data represents free field soil and in-structure acceleration time histories data. Gathered data also includes elastic and dynamic soil properties and structural drawings. Gathering data and comparing with existing models has potential to identify areas of uncertainty that should be removed from current seismic analysis and SPRA approaches. Removing uncertainty (to the extent possible) from SPRAs will allow NPP owners to make decisions on where to reduce risk. Once a realistic understanding of seismic response is established for a nuclear power plant (NPP) then decisions on needed protective measures, such as SI, can be made.

  13. Radiography Facility - Building 239 Independent Validation Review

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Technical Report: Radiography Facility - Building 239 Independent Validation Review Citation Details In-Document Search Title: Radiography Facility - Building 239 Independent Validation Review The purpose of this task was to perform an Independent Validation Review to evaluate the successful implementation and effectiveness of Safety Basis controls, including new and revised controls, to support the implementation of a new DSA/TSR for B239. This task

  14. Technology Validation: Fuel Cell Bus Evaluations | Department...

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

    Presented at the DOE Hydrogen Program 2007 Annual Merit Review held May 15-18, 2007 in Arlington, Virginia under the Technology Validation - Systems Analysis section. PDF icon ...

  15. TEG On-Vehicle Performance & Model Validation

    Broader source: Energy.gov [DOE]

    Details efforts and results of steady-state and transient models validated with bench, engine dynamometer, and on-vehicle tests to measure actual performance

  16. Fuel Cell Backup Power Technology Validation (Presentation)

    SciTech Connect (OSTI)

    Kurtz, J.; Sprik, S.; Ramsden, T.; Saur, G.

    2012-10-01

    Presentation about fuel cell backup power technology validation activities at the U.S. Department of Energy's National Renewable Energy Laboratory.

  17. Radiography Facility - Building 239 Independent Validation Review...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Radiography Facility - Building 239 Independent Validation Review Citation Details In-Document Search Title: Radiography Facility - Building 239 Independent ...

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

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

    Teams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: Reminder: Transmission Services Product Pricing Validation This...

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

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

    Teams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: Transmission Services Product Pricing Validation On October 1,...

  20. Technical Demonstration and Economic Validation of Geothermal...

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

    OilGas Wells in Texas Technical Demonstration and Economic Validation of Geothermal-Produced Electricity from Coproduced Water at Existing OilGas Wells in Texas Technical ...

  1. Verification and validation benchmarks. (Technical Report) |...

    Office of Scientific and Technical Information (OSTI)

    Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and ...

  2. Integrated Energy Analysis and Validation Environment | Department...

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

    simulation tools greatly accelerates creation of initial models and execution of sets ... will develop an integrated energy analysis and validation environment that ...

  3. Validation of Innovation Exploration Technologies for Newberry...

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

    Validation of Innovation Exploration Technologies for Newberry Volcano presentation at the April 2013 peer review meeting held in Denver, Colorado. PDF icon newberrypeer2013.pdf ...

  4. Validation Data Plan Implementation: Subcooled Flow Boiling

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

    ... Validation Data Plan," Idaho National Laboratory, Tech. rep. ... in nuclear reactor safety," in NURETH-15, 2013; Also, ... and V.K. Dhir, Eds., Handbook of phase change - Boiling ...

  5. Input-output model for MACCS nuclear accident impacts estimation¹

    SciTech Connect (OSTI)

    Outkin, Alexander V.; Bixler, Nathan E.; Vargas, Vanessa N

    2015-01-27

    Since the original economic model for MACCS was developed, better quality economic data (as well as the tools to gather and process it) and better computational capabilities have become available. The update of the economic impacts component of the MACCS legacy model will provide improved estimates of business disruptions through the use of Input-Output based economic impact estimation. This paper presents an updated MACCS model, bases on Input-Output methodology, in which economic impacts are calculated using the Regional Economic Accounting analysis tool (REAcct) created at Sandia National Laboratories. This new GDP-based model allows quick and consistent estimation of gross domestic product (GDP) losses due to nuclear power plant accidents. This paper outlines the steps taken to combine the REAcct Input-Output-based model with the MACCS code, describes the GDP loss calculation, and discusses the parameters and modeling assumptions necessary for the estimation of long-term effects of nuclear power plant accidents.

  6. Input for solar annual merit review. (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Input for solar annual merit review. Citation Details In-Document Search Title: Input for solar annual merit review. Abstract not provided. Authors: Siegel, Nathan Phillip Publication Date: 2008-05-01 OSTI Identifier: 1145749 Report Number(s): SAND2008-3333C 518639 DOE Contract Number: DE-AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: Solar annual merit review held April 21-24, 2008 in austin, TX.; Related Information: Proposed for presentation at the solar annual merit

  7. BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines |

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

    Department of Energy Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines December 17, 2015 - 9:48am Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's (EERE) Bioenergy Technologies Office (BETO) and Vehicle Technologies Office (VTO) have released a request for information (RFI) titled "Co-Optimization of Fuels and Engines" (Optima). BETO and VTO are

  8. EERE Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines |

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

    Department of Energy EERE Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines EERE Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines December 18, 2015 - 1:00pm Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's (EERE) Bioenergy Technologies Office (BETO) and Vehicle Technologies Office (VTO) have released a request for information (RFI) titled "Co-Optimization of Fuels and Engines" (Optima). BETO and VTO are

  9. Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input

    SciTech Connect (OSTI)

    Wang, Peng; Barajas-Solano, David A.; Constantinescu, Emil; Abhyankar, S.; Ghosh, Donetta L.; Smith, Barry; Huang, Zhenyu; Tartakovsky, Alexandre M.

    2015-09-22

    Wind and solar power generators are commonly described by a system of stochastic ordinary differential equations (SODEs) where random input parameters represent uncertainty in wind and solar energy. The existing methods for SODEs are mostly limited to delta-correlated random parameters (white noise). Here we use the Probability Density Function (PDF) method for deriving a closed-form deterministic partial differential equation (PDE) for the joint probability density function of the SODEs describing a power generator with time-correlated power input. The resulting PDE is solved numerically. A good agreement with Monte Carlo Simulations shows accuracy of the PDF method.

  10. ,"Catalytic Reforming Downstream Processing of Fresh Feed Input"

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

    Catalytic Reforming Downstream Processing of Fresh Feed Input" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Catalytic Reforming Downstream Processing of Fresh Feed Input",16,"Monthly","2/2016","1/15/2010" ,"Release Date:","4/29/2016" ,"Next Release

  11. Validation of a Hot Water Distribution Model Using Laboratory and Field Data

    SciTech Connect (OSTI)

    Backman, C.; Hoeschele, M.

    2013-07-01

    Characterizing the performance of hot water distribution systems is a critical step in developing best practice guidelines for the design and installation of high performance hot water systems. Developing and validating simulation models is critical to this effort, as well as collecting accurate input data to drive the models. In this project, the Building America research team ARBI validated the newly developed TRNSYS Type 604 pipe model against both detailed laboratory and field distribution system performance data. Validation efforts indicate that the model performs very well in handling different pipe materials, insulation cases, and varying hot water load conditions. Limitations of the model include the complexity of setting up the input file and long simulation run times. This project also looked at recent field hot water studies to better understand use patterns and potential behavioral changes as homeowners convert from conventional storage water heaters to gas tankless units. The team concluded that the current Energy Factor test procedure overestimates typical use and underestimates the number of hot water draws, which has implications for both equipment and distribution system performance. Gas tankless water heaters were found to impact how people use hot water, but the data does not necessarily suggest an increase in usage. Further study in hot water usage and patterns is needed to better define these characteristics in different climates and home vintages.

  12. Bibliographic Management

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

    and more from varied resources and databases to organize references, keep notes to stay ahead of the game. Questions? 505-667-5809 Email Bibliographic management tools allow...

  13. acquisition management

    National Nuclear Security Administration (NNSA)

    the science, technology, and engineering base; and,

  14. Continue NNSA management reforms.


    • Our Values:<...

    • Energy Management

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

      Energy Management Utilize energy efficiency to improve your industrial customer's business performance without the cost of major capital improvements. Energy efficiency is not...

    • project management

      National Nuclear Security Administration (NNSA)

      %2A en Project Management and Systems Support http:nnsa.energy.govaboutusouroperationsapmprojectmanagementandsystemssupport

    • Quality Management

      Broader source: Energy.gov [DOE]

      The Office of Quality Management, within the Office of Health, Safety and Security develops policies and procedures to ensure the classification and control of information is effective and...

    • Position Management

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

      1992-06-23

      The order prescribes the policies, responsibilities, and procedures for position management within (DOE). Canceled by DOE N 1321.140. Cancels DOE 3510.1

    • Management Overview

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

      Management & Administration Forms (0000-1999) Management & Administration Forms (0000-1999) DOE F 206.1 (pdf) Privacy Impact Assessment (PIA) DOE F 206.4 (fillable pdf) Information Sheet for Sponsorship of HSPD-12 Credential DOE F 241.2 (fillable pdf) Notice of Energy RD&D Project DOE F 241.4 (fillable pdf) Announcement of Computer Software DOE F 241.5 (pdf) Information Collection Clearance Manager Appointment DOE F 242.1 (fillable pdf) Forms Manager Designation DOE F 243.2 (fillable

    • project management

      National Nuclear Security Administration (NNSA)

      3%2A en Project Management and Systems Support http:www.nnsa.energy.govaboutusouroperationsapmprojectmanagementandsystemssupport

    • Criticality Safety Validation of Scale 6.1

      SciTech Connect (OSTI)

      Marshall, William BJ J; Rearden, Bradley T

      2011-11-01

      The computational bias of criticality safety computer codes must be established through the validation of the codes to critical experiments. A large collection of suitable experiments has been vetted by the International Criticality Safety Benchmark Experiment Program (ICSBEP) and made available in the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). A total of more than 350 cases from this reference have been prepared and reviewed within the Verified, Archived Library of Inputs and Data (VALID) maintained by the Reactor and Nuclear Systems Division at Oak Ridge National Laboratory. The performance of the KENO V.a and KENO-VI Monte Carlo codes within the Scale 6.1 code system with ENDF/B-VII.0 cross-section data in 238-group and continuous energy is assessed using the VALID models of benchmark experiments. The TSUNAMI tools for sensitivity and uncertainty analysis are utilized to examine some systems further in an attempt to identify potential causes of unexpected results. The critical experiments available for validation of the KENO V.a code cover eight different broad categories of systems. These systems use a range of fissile materials including a range of uranium enrichments, various plutonium isotopic vectors, and mixed uranium-plutonium oxides. The physical form of the fissile material also varies and is represented as metal, solutions, or arrays of rods or plates in a water moderator. The neutron energy spectra of the systems also vary and cover both fast and thermal spectra. Over 300 of the total cases used utilize the KENO V.a code. The critical experiments available for the validation of the KENO-VI code cover three broad categories of systems. The fissile materials in the systems vary and include high and intermediate-enrichment uranium and mixed uranium/plutonium oxides. The physical form of the fissile material is either metal or rod arrays in water. As with KENO V.a, both fast and thermal neutron energy spectra are represented in the systems considered. The results indicate generally good performance of both the KENO V.a and KENO-VI codes across the range of systems analyzed. The bias of calculated k{sub eff} from expected values is less than 0.9% {Delta}k in all cases. All eight categories of experiments show biases of less than 0.5% {Delta}k in KENO V.a with the exception of intermediate enrichment metal systems using the 238-group library. The continuous energy library generally manifests lower biases than the multi-group data. The KENO-VI results show slightly larger biases, though this may primarily be the result of modeling systems with more geometric complexity, which are more difficult to describe accurately, even with a generalized geometry code like KENO-VI. Several additional conclusions can be drawn from the results of this validation effort. These conclusions include that the TSUNAMI tools can be used successfully to explain the cause of aberrant results, that some evaluations in the IHECSBE should be updated to provide more rigorous expected k{sub eff} values and uncertainties, and that potential cross-section errors can be identified by detailed review of the results of this validation. It also appears that the overall cross-section uncertainty as quantified through the Scale covariance library is overestimated. Overall, the KENO V.a and KENO-VI codes are shown to provide consistent, low bias results for a wide range of physical systems of potential interest in criticality safety applications.

  1. Records Management

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

    Records Management (RM) refers to the systematic identification, creation, capture, organization, maintenance, retrieval, protection, storage and disposition of records, regardless of media, created or received in the transaction of Sandia's scientific investigations and long-term repository performance calculations within a regulatory context. Our disciplined approach to records management makes many things possible: assurance that regulatory requirements are met; reduced risk of expensive

  2. DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations

    Broader source: Energy.gov [DOE]

    A Request for Information (RFI) seeking public input for a draft Integrated, Interagency Pre-application (IIP) Process was published in the Federal Register on August 29, 2013. The Federal Register Notice is available now for downloading. Comments must be received on or before September 29, 2013. As comments are received, they will be posted online.

  3. Nevada Test Site Resource Management Plan

    SciTech Connect (OSTI)

    1998-12-01

    The Nevada Test Site (NTS) Resource Management Plan (RMP) describes the NTS Stewardship Mission and how its accomplishment will preserve the resources of the ecoregion while accomplishing the objectives of the mission. The NTS Stewardship Mission is to manage the land and facilities at the NTS as a unique and valuable national resource. The RMP has defined goals for twelve resource areas based on the principles of ecosystem management. These goals were established using an interdisciplinary team of DOE/NV resource specialists with input from surrounding land managers, private parties, and representatives of Native American governments. The overall goal of the RMP is to facilitate improved NTS land use management decisions within the Great Basin and Mojave Desert ecoregions.

  4. Using Economic Input/Output Tables to Predict a Countrys Nuclear Status

    SciTech Connect (OSTI)

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nations efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a countrys or regions economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industrys output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

  5. Validation experiment of a numerically processed millimeter-wave interferometer in a laboratory

    SciTech Connect (OSTI)

    Kogi, Y., E-mail: kogi@fit.ac.jp; Higashi, T.; Matsukawa, S. [Department of Information Electronics, Fukuoka Institute of Technology, Fukuoka 811-0295 (Japan); Mase, A. [Art, Science and Technology Center for Cooperative Research, Kyushu University, Kasuga, Fukuoka 816-0811 (Japan); Kohagura, J.; Yoshikawa, M. [Plasma Research Center, University of Tsukuba, Tsukuba, Ibaraki 305-8577 (Japan); Nagayama, Y.; Kawahata, K. [National Institute for Fusion Science, Toki, Gifu 509-5202 (Japan); Kuwahara, D. [Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588 (Japan)

    2014-11-15

    We propose a new interferometer system for density profile measurements. This system produces multiple measurement chords by a leaky-wave antenna driven by multiple frequency inputs. The proposed system was validated in laboratory evaluation experiments. We confirmed that the interferometer generates a clear image of a Teflon plate as well as the phase shift corresponding to the plate thickness. In another experiment, we confirmed that quasi-optical mirrors can produce multiple measurement chords; however, the finite spot size of the probe beam degrades the sharpness of the resulting image.

  6. Rapid Syndrome Validation Project (RSVP)

    Energy Science and Technology Software Center (OSTI)

    2004-03-26

    RSVP facilitates the two-way communication between physicians (who are the “sensors” for disease in a community) and public health officials (who are the true “experts” in determining whether or not disease outbreaks are taking place in community). Currently, there is no software product that enables real-time on line reporting to local public health officials, nor timely feedback to clinicians taking care of ill patients. RSVP takes into consideration the cultural differences in the practice ofmore » medicine across the US and internationally, and provides for automated alerting of public health officials in the setting of a potentially serious disease outbreak. In addition, clinicians’ parficipation is immediately rewarded by providing information that is meaningful for the management of their patients. We envision the addition to RSVP of automated statistical analysis of data (currentty being done on a case-by-case basis by hand), including SNL technology based on neural network analysis. Integration of other SNL technology into RSVP will provide added-value, and will dramatically assist public health officials in their quest to identify disease outbreaks as early as possible in an epidemic (even before the actual level of known cases exceeds historical background) based on other parameters such as rapidity of spread of symptoms in a population. In addition, we are developing a parallel system of syndrome surveillance in animals (called "RSVP-A"), in collaboration with Kansas State University. Data from animal disease outbreaks will also be made available to physicians caring for human patients as zoonotic disease may be important in human epidemics.« less

  7. A non-linear dimension reduction methodology for generating data-driven stochastic input models

    SciTech Connect (OSTI)

    Ganapathysubramanian, Baskar; Zabaras, Nicholas

    2008-06-20

    Stochastic analysis of random heterogeneous media (polycrystalline materials, porous media, functionally graded materials) provides information of significance only if realistic input models of the topology and property variations are used. This paper proposes a framework to construct such input stochastic models for the topology and thermal diffusivity variations in heterogeneous media using a data-driven strategy. Given a set of microstructure realizations (input samples) generated from given statistical information about the medium topology, the framework constructs a reduced-order stochastic representation of the thermal diffusivity. This problem of constructing a low-dimensional stochastic representation of property variations is analogous to the problem of manifold learning and parametric fitting of hyper-surfaces encountered in image processing and psychology. Denote by M the set of microstructures that satisfy the given experimental statistics. A non-linear dimension reduction strategy is utilized to map M to a low-dimensional region, A. We first show that M is a compact manifold embedded in a high-dimensional input space R{sup n}. An isometric mapping F from M to a low-dimensional, compact, connected set A is contained in R{sup d}(d<input in the solution of stochastic partial differential equations that describe the evolution of dependant variables. A sparse grid collocation strategy (Smolyak algorithm) is utilized to solve these stochastic equations efficiently. We showcase the methodology by constructing low-dimensional input stochastic models to represent thermal diffusivity in two-phase microstructures. This model is used in analyzing the effect of topological variations of two-phase microstructures on the evolution of temperature in heat conduction processes.

  8. Conference Management

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

    2007-01-25

    The Order establishes requirements and responsibilities for managing conferences sponsored or co-sponsored by the Department of Energy, including the National Nuclear Security Administration. Cancels DOE O 110.3. Canceled by DOE N 251.97.

  9. Management Reminders

    Broader source: Energy.gov [DOE]

    This document is normally shared by the HQ Program Manager a week prior to the scheduled mediation and is intented to serve as a reminder of the pertinent aspects of the mediation process.

  10. PROJECT MANAGEMENT PLANS Project Management Plans

    Office of Environmental Management (EM)

    MANAGEMENT PLANS Project Management Plans Overview Project Management Plan Suggested Outline Subjects Crosswalk between the Suggested PMP Outline Subjects and a Listing ...

  11. Summary - Environmental Management Waste Management Facility...

    Office of Environmental Management (EM)

    Waste Management Facility (EMWMF) at Oak Ridge, TN Why DOE-EM Did This Review The Environmental Management Waste Management Facility (EMWMF) is a land disposal facility for ...

  12. Advanced Supply System Validation Workshop Agenda

    Broader source: Energy.gov [DOE]

    List of Assumptions and Draft Workshop Agenda for the Advanced Supply System Validation Workshop, February 3-4, 2014, Golden, Colorado, from the U.S. Department of Energy's Bioenergy Technologies Office.

  13. Capital Equipment Validation Form | The Ames Laboratory

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

    Capital Equipment Validation Form Version Number: 2.0 Document Number: Form 48100.001 Effective Date: 02/2015 File (public): Office spreadsheet icon form_48100.001_rev2.xls

  14. ARM - Field Campaign - Aerosol Lidar Validation Experiment -...

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

    govCampaignsAerosol Lidar Validation Experiment - ALIVE Campaign Links ALIVE Website ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below...

  15. ARM - Field Campaign - AIRS validation IOP

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

    for the purpose of providing in situ validation data for development and testing of AIRS water vapor retrievals. This was a user support activity with funding provided by the user...

  16. ARM - Field Campaign - AIRS Validation Sonde Support

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

    for the purpose of providing in situ validation data for development and testing of AIRS water vapor retrievals. This is a user support activity with funding provided by the user....

  17. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has...

  18. U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 154,590 175,702 144,811 131,894 109,977 126,363 113,189 101,382 101,134 106,745 1990's 122,806 112,606 117,919 118,999 110,826 110,290 109,455 103,153 102,189 98,249 2000's 90,000 86,312 67,980 67,706 60,365 63,691 66,058 63,132 60,889 65,259 2010's 64,575 60,088 61,366 54,650 59,528 59,689 - = No Data

  19. Steering and focusing effects in TESLA cavity due to high order mode and input couplers

    SciTech Connect (OSTI)

    Piot, P.; /Fermilab; Dohlus, M.; Flottmann, K.; Marx, M.; Wipf, S.G.; /DESY

    2005-05-01

    Many state-of-art electron accelerator proposals incorporate TESLA-type superconducting radio-frequency (rf) cavities [1]. These standing wave rf cavities include rf input couplers and a pair of high order mode (HOM) couplers to absorb the energy associated to HOM field excited as the bunch passes through the cavity. In the present paper we investigate, using numerical simulations, the impact of the input and HOM couplers on the beam dynamics to zeroth and first order in initial position, and present parametric studies of the strength of these effects for various incoming beam energies. We finally study the impact of this asymmetric field on the beam dynamics, taking as an example the low energy section of the X-ray FEL injector.

  20. Method for guessing the response of a physical system to an arbitrary input

    DOE Patents [OSTI]

    Wolpert, David H.

    1996-01-01

    Stacked generalization is used to minimize the generalization errors of one or more generalizers acting on a known set of input values and output values representing a physical manifestation and a transformation of that manifestation, e.g., hand-written characters to ASCII characters, spoken speech to computer command, etc. Stacked generalization acts to deduce the biases of the generalizer(s) with respect to a known learning set and then correct for those biases. This deduction proceeds by generalizing in a second space whose inputs are the guesses of the original generalizers when taught with part of the learning set and trying to guess the rest of it, and whose output is the correct guess. Stacked generalization can be used to combine multiple generalizers or to provide a correction to a guess from a single generalizer.

  1. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  2. Verification and Validation Supporting VERA Neutronics Code

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

    Verification and Validation Supporting VERA Neutronics Code As CASL produces its VERA software each physics capability must be tested, verified, and validated (V&V). The overarching objective of code verification is to establish that a computation- al model implemented in a code accurately represents the de- veloper's conceptual representation of the physics, while vali- dation refers to the process of determining the degree to which a computational model provides an accurate representation

  3. DOE Technology Validation Projects | Department of Energy

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

    Stationary/Distributed Generation Projects » DOE Technology Validation Projects DOE Technology Validation Projects Stationary fuel cells can be used for backup power, power for remote locations, stand-alone power plants for towns and cities, distributed generation for buildings, and co-generation of heat and power. The Fuel Cell Technologies Office has a number of demonstrations underway to develop and evaluate the performance of fuel cells for stationary applications. The status of DOE's

  4. The Geant4 Physics Validation Repository

    SciTech Connect (OSTI)

    Wenzel, H.; Yarba, J.; Dotti, A.

    2015-12-23

    The Geant4 collaboration regularly performs validation and regression tests. The results are stored in a central repository and can be easily accessed via a web application. In this article we describe the Geant4 physics validation repository which consists of a relational database storing experimental data and Geant4 test results, a java API and a web application. The functionality of these components and the technology choices we made are also described

  5. Verification & Validation | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Verification & Validation Verification and Validation (V&V) provides assurance that the models in the codes produce mathematically correct answers and that the answers reflect physical reality. The V&V subprogram funds the critical skills needed to apply systematic measurement, documentation, and demonstration of the ability of the models and codes to predict physical behavior. The V&V subprogram is developing and implementing Uncertainty Quantification (UQ) methodologies as part

  6. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  7. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  8. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  9. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Validating Computer-Designed Proteins for Vaccines Print Thursday, 21 August 2014 12:05 In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent

  10. Accelerated Testing Validation | Department of Energy

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

    Testing Validation Accelerated Testing Validation Presented at the Department of Energy Fuel Cell Projects Kickoff Meeting, September 1 - October 1, 2009 PDF icon mukundan_lanl_kickoff.pdf More Documents & Publications DOE Fuel Cell Pre-Solicitation Workshop - Breakout Group 2: MEAs, Components, and Integration Development of Micro-structural Mitigation Strategies for PEM Fuel Cells: Morphological Simulation and Experimental Approaches Improved AST's Based on Real World FCV Data

  11. High-Frequency Matrix Converter with Square Wave Input - Energy Innovation

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

    Portal Solar Photovoltaic Solar Photovoltaic Geothermal Geothermal Energy Storage Energy Storage Electricity Transmission Electricity Transmission Find More Like This Return to Search High-Frequency Matrix Converter with Square Wave Input DOE Grant Recipients Contact GRANT About This Technology Publications: PDF Document Publication 8995159.pdf (1,648 KB) Technology Marketing Summary As the use of renewable energy sources increase, there is an increasing need for power converters capable of

  12. 2012 Congestion Study Webinars to Present Preliminary Findings and Receive Input from Stakeholders

    Broader source: Energy.gov [DOE]

    The Department of Energy will host three webinars in August 2012 to present the preliminary findings of the 2012 National Electric Transmission Congestion Study and to receive input and suggestions from state officials, industry representatives, and other stakeholders. Two of the webinars will be designed to discuss with state officials the initial findings of the DOE 2012 congestion analysis. The third webinar will be for industry representatives and other interested parties, although stakeholders may dial into any of the three meetings.

  13. A New Ensemble of Perturbed-Input-Parameter Simulations by the Community Atmosphere Model

    SciTech Connect (OSTI)

    Covey, C; Brandon, S; Bremer, P T; Domyancis, D; Garaizar, X; Johannesson, G; Klein, R; Klein, S A; Lucas, D D; Tannahill, J; Zhang, Y

    2011-10-27

    Uncertainty quantification (UQ) is a fundamental challenge in the numerical simulation of Earth's weather and climate, and other complex systems. It entails much more than attaching defensible error bars to predictions: in particular it includes assessing low-probability but high-consequence events. To achieve these goals with models containing a large number of uncertain input parameters, structural uncertainties, etc., raw computational power is needed. An automated, self-adapting search of the possible model configurations is also useful. Our UQ initiative at the Lawrence Livermore National Laboratory has produced the most extensive set to date of simulations from the US Community Atmosphere Model. We are examining output from about 3,000 twelve-year climate simulations generated with a specialized UQ software framework, and assessing the model's accuracy as a function of 21 to 28 uncertain input parameter values. Most of the input parameters we vary are related to the boundary layer, clouds, and other sub-grid scale processes. Our simulations prescribe surface boundary conditions (sea surface temperatures and sea ice amounts) to match recent observations. Fully searching this 21+ dimensional space is impossible, but sensitivity and ranking algorithms can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination. Bayesian statistical constraints, employing a variety of climate observations as metrics, also seem promising. Observational constraints will be important in the next step of our project, which will compute sea surface temperatures and sea ice interactively, and will study climate change due to increasing atmospheric carbon dioxide.

  14. Significance of microbial asynchronous anabolism to soil carbon dynamics driven by litter inputs

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

    Fan, Zhaosheng; Liang, Chao

    2015-04-02

    Soil organic carbon (SOC) plays an important role in the global carbon cycle. However, it remains largely unknown how plant litter inputs impact magnitude, composition and source configuration of the SOC stocks over long term through microbial catabolism and anabolism, mostly due to uncoupled research on litter decomposition and SOC formation. This limits our ability to predict soil system responses to changes in land-use and climate. Here, we examine how microbes act as a valve controlling carbon sequestrated from plant litters versus released to the atmosphere in natural ecosystems amended with plant litters varying in quantity and quality. We findmore » that litter quality – not quantity – regulates long-term SOC dynamics under different plausible scenarios. Long-term changes in bulk SOC stock occur only when the quality of carbon inputs causes asynchronous change in a microbial physiological trait, defined as ‘‘microbial biosynthesis acceleration’’ (MBA). This is the first theoretical demonstration that the response of the SOC stocks to litter inputs is critically determined by the microbial physiology. Our work suggests that total SOC at an equilibrium state may be an intrinsic property of a given ecosystem, which ultimately is controlled by the asynchronous MBA between microbial functional groups.« less

  15. Significance of microbial asynchronous anabolism to soil carbon dynamics driven by litter inputs

    SciTech Connect (OSTI)

    Fan, Zhaosheng; Liang, Chao

    2015-04-02

    Soil organic carbon (SOC) plays an important role in the global carbon cycle. However, it remains largely unknown how plant litter inputs impact magnitude, composition and source configuration of the SOC stocks over long term through microbial catabolism and anabolism, mostly due to uncoupled research on litter decomposition and SOC formation. This limits our ability to predict soil system responses to changes in land-use and climate. Here, we examine how microbes act as a valve controlling carbon sequestrated from plant litters versus released to the atmosphere in natural ecosystems amended with plant litters varying in quantity and quality. We find that litter quality – not quantity – regulates long-term SOC dynamics under different plausible scenarios. Long-term changes in bulk SOC stock occur only when the quality of carbon inputs causes asynchronous change in a microbial physiological trait, defined as ‘‘microbial biosynthesis acceleration’’ (MBA). This is the first theoretical demonstration that the response of the SOC stocks to litter inputs is critically determined by the microbial physiology. Our work suggests that total SOC at an equilibrium state may be an intrinsic property of a given ecosystem, which ultimately is controlled by the asynchronous MBA between microbial functional groups.

  16. Validation procedures used in the Background Soil Characterization Project on the Oak Ridge Reservation, Oak Ridge, Tennessee. Environmental Restoration Program

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    The purpose of this report is (1) to document the data validation process developed for the Background Soil Characterization Project (BSCP); (2) to offer members of other project teams and potential data users the benefit of the experience gained in the BSCP in the area of developing project-specific data validation criteria and procedures based on best available guidance and technical information; and (3) to provide input and guidance to the efforts under way within Martin Marietta Energy Systems, Inc., to develop standard operating procedures to streamline and optimize the analytical laboratory data validation process for general use by making it more technically rigorous, consistent, and cost effective. Lessons learned from the BSCP are also provided to meet this end (Sect. 1.3).

  17. Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

    SciTech Connect (OSTI)

    Billman, L.; Keyser, D.

    2013-08-01

    The Jobs and Economic Development Impacts (JEDI) models, developed by the National Renewable Energy Laboratory (NREL) for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), use input-output methodology to estimate gross (not net) jobs and economic impacts of building and operating selected types of renewable electricity generation and fuel plants. This analysis provides the DOE with an assessment of the value, impact, and validity of the JEDI suite of models. While the models produce estimates of jobs, earnings, and economic output, this analysis focuses only on jobs estimates. This validation report includes an introduction to JEDI models, an analysis of the value and impact of the JEDI models, and an analysis of the validity of job estimates generated by JEDI model through comparison to other modeled estimates and comparison to empirical, observed jobs data as reported or estimated for a commercial project, a state, or a region.

  18. Data Management

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

    Data Management Data Management PDSF and IHEP, in Beijing, China, are the two main computing facitilies for the Daya Bay experiment with PDSF being used primarily by North American collaborators and IHEP by Asian collaborators. All raw data from the experimental facility is first transferred to IHEP and then transferred to PDSF. Data transfer rates of 5 to 10 MB/s result in up to about 500GB transferred daily. The tool used to transfer the data is called SPADE and has also been used at PDSF by

  19. MCNP5 CRITICALITY VALIDATION AND BIAS FOR INTERMEDIATE ENRICHED URANIUM SYSTEMS

    SciTech Connect (OSTI)

    FINFROCK SH

    2009-12-10

    The purpose of this analysis is to validate the Monte Carlo N-Particle 5 (MCNP5) code Version 1.40 (LA-UR-03-1987, 2005) and its cross-section database for k-code calculations of intermediate enriched uranium systems on INTEL{reg_sign} processor based PC's running any version of the WINDOWS operating system. Configurations with intermediate enriched uranium were modeled with the moderator range of 39 {le} H/Fissile {le} 1438. See Table 2-1 for brief descriptions of selected cases and Table 3-1 for the range of applicability for this validation. A total of 167 input cases were evaluated including bare and reflected systems in a single body or arrays. The 167 cases were taken directly from the previous (Version 4C [Lan 2005]) validation database. Section 2.0 list data used to calculate k-effective (k{sub eff}) for the 167 experimental criticality benchmark cases using the MCNP5 code v1.40 and its cross section database. Appendix B lists the MCNP cross-section database entries validated for use in evaluating the intermediate enriched uranium systems for criticality safety. The dimensions and atom densities for the intermediate enriched uranium experiments were taken from NEA/NSC/DOC(95)03, September 2005, which will be referred to as the benchmark handbook throughout the report. For these input values, the experimental benchmark k{sub eff} is approximately 1.0. The MCNP validation computer runs ran to an accuracy of approximately {+-} 0.001. For the cases where the reported benchmark k{sub eff} was not equal to 1.0000 the MCNP calculational results were normalized. The difference between the MCNP validation computer runs and the experimentally measured k{sub eff} is the MCNP5 v1.40 bias. The USLSTATS code (ORNL 1998) was utilized to perform the statistical analysis and generate an acceptable maximum k{sub eff} limit for calculations of the intermediate enriched uranium type systems.

  20. Oracle Management Tool Suite

    Energy Science and Technology Software Center (OSTI)

    2007-06-01

    The Oracle Management Tool Suite is used to automatically manage Oracle based systems. This includes startup and shutdown of databases and application servers as well as backup, space management, workload management and log file management.

  1. Battery Pack Requirements and Targets Validation FY 2009 DOE...

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

    Battery Pack Requirements and Targets Validation FY 2009 DOE Vehicle Technologies Program Battery Pack Requirements and Targets Validation FY 2009 DOE Vehicle Technologies Program ...

  2. Widget:TwitterHandleValidate | Open Energy Information

    Open Energy Info (EERE)

    common copy + paste errors, and alerting the user if the format is not a valid Twitter handle. Parameters include: fieldname - the field to validate (optional, default:...

  3. Precision Gas Sampling (PGS) Validation2011-2014 Final Campaign...

    Office of Scientific and Technical Information (OSTI)

    Precision Gas Sampling (PGS) Validation2011-2014 Final Campaign Report Citation Details In-Document Search Title: Precision Gas Sampling (PGS) Validation2011-2014 Final Campaign ...

  4. Testing and Validation of Vehicle to Grid Communication Standards...

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

    and Validation of Vehicle to Grid Communication Standards Testing and Validation of Vehicle to Grid Communication Standards 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle ...

  5. A statistical perspective of validation and UQ (Conference) ...

    Office of Scientific and Technical Information (OSTI)

    A statistical perspective of validation and UQ Citation Details In-Document Search Title: A statistical perspective of validation and UQ You are accessing a document from the ...

  6. Overview and Meteorological Validation of the Wind Integration...

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

    Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit C. ... and Meteorological Validation of the Wind Integration National Dataset Toolkit C. ...

  7. Validation of Hydrogen Exchange Methodology on Molecular Sieves...

    Office of Environmental Management (EM)

    Validation of Hydrogen Exchange Methodology on Molecular Sieves for Tritium Removal from Contaminated Water Validation of Hydrogen Exchange Methodology on Molecular Sieves for...

  8. Radiography Facility - Building 239 Independent Validation Review...

    Office of Scientific and Technical Information (OSTI)

    Visit OSTI to utilize additional information resources in energy science and technology. A ... establish the ability of TSR LCO, administrative control or safety management program ...

  9. Tidal & Current Modeling Development and Validation

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

    Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management ...

  10. Validation and Uncertainty Characterization for Energy Simulation...

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

    reinforce the accuracy and confidence benefits. CONTACTS DOE Technology Manager: Amir Roth, Amir.Roth@ee.doe.gov Lead Performers: Philip Haves, LBNL (phaves@lbl.gov); Joshua...

  11. Methods to Register Models and Input/Output Parameters for Integrated Modeling

    SciTech Connect (OSTI)

    Droppo, James G.; Whelan, Gene; Tryby, Michael E.; Pelton, Mitchell A.; Taira, Randal Y.; Dorow, Kevin E.

    2010-07-10

    Significant resources can be required when constructing integrated modeling systems. In a typical application, components (e.g., models and databases) created by different developers are assimilated, requiring the framework’s functionality to bridge the gap between the user’s knowledge of the components being linked. The framework, therefore, needs the capability to assimilate a wide range of model-specific input/output requirements as well as their associated assumptions and constraints. The process of assimilating such disparate components into an integrated modeling framework varies in complexity and difficulty. Several factors influence the relative ease of assimilating components, including, but not limited to, familiarity with the components being assimilated, familiarity with the framework and its tools that support the assimilation process, level of documentation associated with the components and the framework, and design structure of the components and framework. This initial effort reviews different approaches for assimilating models and their model-specific input/output requirements: 1) modifying component models to directly communicate with the framework (i.e., through an Application Programming Interface), 2) developing model-specific external wrappers such that no component model modifications are required, 3) using parsing tools to visually map pre-existing input/output files, and 4) describing and linking models as dynamic link libraries. Most of these approaches are illustrated using the widely distributed modeling system called Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES). The review concludes that each has its strengths and weakness, the factors that determine which approaches work best in a given application.

  12. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion Btu)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"Coal Coke",,"Row" "Code(a)","End-Use

  13. Table A13. Selected Combustible Inputs of Energy for Heat, Power, and

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

    3. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type," " Census Region, Census Division, and End Use, 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,"Coal" ,,,"Distillate",,,"(excluding" ,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,"for","Residual","and","Natural

  14. Table A39. Selected Combustible Inputs of Energy for Heat, Power, and

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

    9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use

  15. Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS"

  16. Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input

    Office of Environmental Management (EM)

    :14 Report number: 2013:14 ISSN: 2000-0456 Available at www.stralsakerhetsmyndigheten.se Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries Evaluation for Regulatory Input Robert A. Meck Author: SSM perspektiv SSM har nyligen beslutat om föreskrifter om friklassning av material, loka- ler, byggnader och mark vid verksamhet med joniserande strålning (SSMFS 201 1:2). Föreskrifterna innehåller bland annat krav på att tillståndshavare, vid avveckling av

  17. Level density inputs in nuclear reaction codes and the role of the spin cutoff parameter

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

    Voinov, A. V.; Grimes, S. M.; Brune, C. R.; Burger, A.; Gorgen, A.; Guttormsen, M.; Larsen, A. C.; Massey, T. N.; Siem, S.

    2014-09-03

    Here, the proton spectrum from the 57Fe(α,p) reaction has been measured and analyzed with the Hauser-Feshbach model of nuclear reactions. Different input level density models have been tested. It was found that the best description is achieved with either Fermi-gas or constant temperature model functions obtained by fitting them to neutron resonance spacing and to discrete levels and using the spin cutoff parameter with much weaker excitation energy dependence than it is predicted by the Fermi-gas model.

  18. Multi-input and binary reproducible, high bandwidth floating point adder in a collective network

    DOE Patents [OSTI]

    Chen, Dong; Eisley, Noel A; Heidelberger, Philip; Steinmacher-Burow, Burkhard

    2015-03-10

    To add floating point numbers in a parallel computing system, a collective logic device receives the floating point numbers from computing nodes. The collective logic devices converts the floating point numbers to integer numbers. The collective logic device adds the integer numbers and generating a summation of the integer numbers. The collective logic device converts the summation to a floating point number. The collective logic device performs the receiving, the converting the floating point numbers, the adding, the generating and the converting the summation in one pass. One pass indicates that the computing nodes send inputs only once to the collective logic device and receive outputs only once from the collective logic device.

  19. Procedure for developing biological input for the design, location, or modification of water-intake structures

    SciTech Connect (OSTI)

    Neitzel, D.A.; McKenzie, D.H.

    1981-12-01

    To minimize adverse impact on aquatic ecosystems resulting from the operation of water intake structures, design engineers must have relevant information on the behavior, physiology and ecology of local fish and shellfish. Identification of stimulus/response relationships and the environmental factors that influence them is the first step in incorporating biological information in the design, location or modification of water intake structures. A procedure is presented in this document for providing biological input to engineers who are designing, locating or modifying a water intake structure. The authors discuss sources of stimuli at water intakes, historical approaches in assessing potential/actual impact and review biological information needed for intake design.

  20. RELAP5/MOD3 code manual: User`s guide and input requirements. Volume 2

    SciTech Connect (OSTI)

    1995-08-01

    The RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during postulated accidents. The code models the coupled behavior of the reactor coolant system and the core for loss-of-coolant accidents, and operational transients, such as anticipated transient without scram, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling approach is used that permits simulating a variety of thermal hydraulic systems. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater systems. Volume II contains detailed instructions for code application and input data preparation.

  1. Validation of the Hot Strip Mill Model

    SciTech Connect (OSTI)

    Richard Shulkosky; David Rosberg; Jerrud Chapman

    2005-03-30

    The Hot Strip Mill Model (HSMM) is an off-line, PC based software originally developed by the University of British Columbia (UBC) and the National Institute of Standards and Technology (NIST) under the AISI/DOE Advanced Process Control Program. The HSMM was developed to predict the temperatures, deformations, microstructure evolution and mechanical properties of steel strip or plate rolled in a hot mill. INTEG process group inc. undertook the current task of enhancing and validating the technology. With the support of 5 North American steel producers, INTEG process group tested and validated the model using actual operating data from the steel plants and enhanced the model to improve prediction results.

  2. Marketing Plan for Demonstration and Validation Assets

    SciTech Connect (OSTI)

    2008-05-30

    The National Security Preparedness Project (NSPP), is to be sustained by various programs, including technology demonstration and evaluation (DEMVAL). This project assists companies in developing technologies under the National Security Technology Incubator program (NSTI) through demonstration and validation of technologies applicable to national security created by incubators and other sources. The NSPP also will support the creation of an integrated demonstration and validation environment. This report documents the DEMVAL marketing and visibility plan, which will focus on collecting information about, and expanding the visibility of, DEMVAL assets serving businesses with national security technology applications in southern New Mexico.

  3. Managing Critical Management Improvement Initiatives

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

    2003-10-01

    Provides requirements and responsibilities for planning, executing and assessing critical management improvement initiatives within DOE. DOE N 251.59, dated 9/27/2004, extends this Notice until 10/01/2005. Archived 11-8-10. Does not cancel other directives.

  4. Input-independent, Scalable and Fast String Matching on the Cray XMT

    SciTech Connect (OSTI)

    Villa, Oreste; Chavarra-Miranda, Daniel; Maschhoff, Kristyn J.

    2009-05-25

    String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam ?lters. The growing size of on-line content and the increasing wire speeds push the need for fast, and often real- time, string searching solutions. For these conditions, many software implementations (if not all) targeting conventional cache-based microprocessors do not perform well. They either exhibit overall low performance or exhibit highly variable performance depending on the types of inputs. For this reason, real-time state of the art solutions rely on the use of either custom hardware or Field-Programmable Gate Arrays (FPGAs) at the expense of overall system ?exibility and programmability. This paper presents a software based implementation of the Aho-Corasick string searching algorithm on the Cray XMT multithreaded shared memory machine. Our so- lution relies on the particular features of the XMT architecture and on several algorith- mic strategies: it is fast, scalable and its performance is virtually content-independent. On a 128-processor Cray XMT, it reaches a scanning speed of ? 28 Gbps with a performance variability below 10 %. In the 10 Gbps performance range, variability is below 2.5%. By comparison, an Intel dual-socket, 8-core system running at 2.66 GHz achieves a peak performance which varies from 500 Mbps to 10 Gbps depending on the type of input and dictionary size.

  5. Environmental Management

    SciTech Connect (OSTI)

    2014-11-12

    Another key aspect of the NNSS mission is Environmental Management program, which addresses the environmental legacy from historic nuclear weapons related activities while also ensuring the health and safety of present day workers, the public, and the environment as current and future missions are completed. The Area 5 Radioactive Waste Management site receives low-level and mixed low-level waste from some 28 different generators from across the DOE complex in support of the legacy clean-up DOE Environmental Management project. Without this capability, the DOE would not be able to complete the clean up and proper disposition of these wastes. The program includes environmental protection, compliance, and monitoring of the air, water, plants, animals, and cultural resources at the NNSS. Investigation and implementation of appropriate corrective actions to address the contaminated ground water facilities and soils resulting from historic nuclear testing activities, the demolition of abandoned nuclear facilities, as well as installation of ground water wells to identify and monitor the extent of ground water contamination.

  6. Environmental Management

    ScienceCinema (OSTI)

    None

    2015-01-07

    Another key aspect of the NNSS mission is Environmental Management program, which addresses the environmental legacy from historic nuclear weapons related activities while also ensuring the health and safety of present day workers, the public, and the environment as current and future missions are completed. The Area 5 Radioactive Waste Management site receives low-level and mixed low-level waste from some 28 different generators from across the DOE complex in support of the legacy clean-up DOE Environmental Management project. Without this capability, the DOE would not be able to complete the clean up and proper disposition of these wastes. The program includes environmental protection, compliance, and monitoring of the air, water, plants, animals, and cultural resources at the NNSS. Investigation and implementation of appropriate corrective actions to address the contaminated ground water facilities and soils resulting from historic nuclear testing activities, the demolition of abandoned nuclear facilities, as well as installation of ground water wells to identify and monitor the extent of ground water contamination.

  7. RELAP-7 SOFTWARE VERIFICATION AND VALIDATION PLAN

    SciTech Connect (OSTI)

    Smith, Curtis L; Choi, Yong-Joon; Zou, Ling

    2014-09-01

    This INL plan comprehensively describes the software for RELAP-7 and documents the software, interface, and software design requirements for the application. The plan also describes the testing-based software verification and validation (SV&V) process—a set of specially designed software models used to test RELAP-7.

  8. REMSView Validation Application- Version 3.1

    Broader source: Energy.gov [DOE]

    The REMSView 3.1 Validation Application has been updated as of 3/9/2010. The application is a Java application and can be run on any computer system that can run Java. The interface is a standard windows format.

  9. Nuclear Energy Knowledge and Validation Center (NEKVaC) Needs Workshop Summary Report

    SciTech Connect (OSTI)

    Gougar, Hans

    2015-02-01

    The Department of Energy (DOE) has made significant progress developing simulation tools to predict the behavior of nuclear systems with greater accuracy and of increasing our capability to predict the behavior of these systems outside of the standard range of applications. These analytical tools require a more complex array of validation tests to accurately simulate the physics and multiple length and time scales. Results from modern simulations will allow experiment designers to narrow the range of conditions needed to bound system behavior and to optimize the deployment of instrumentation to limit the breadth and cost of the campaign. Modern validation, verification and uncertainty quantification (VVUQ) techniques enable analysts to extract information from experiments in a systematic manner and provide the users with a quantified uncertainty estimate. Unfortunately, the capability to perform experiments that would enable taking full advantage of the formalisms of these modern codes has progressed relatively little (with some notable exceptions in fuels and thermal-hydraulics); the majority of the experimental data available today is the "historic" data accumulated over the last decades of nuclear systems R&D. A validated code-model is a tool for users. An unvalidated code-model is useful for code developers to gain understanding, publish research results, attract funding, etc. As nuclear analysis codes have become more sophisticated, so have the measurement and validation methods and the challenges that confront them. A successful yet cost-effective validation effort requires expertise possessed only by a few, resources possessed only by the well-capitalized (or a willing collective), and a clear, well-defined objective (validating a code that is developed to satisfy the need(s) of an actual user). To that end, the Idaho National Laboratory established the Nuclear Energy Knowledge and Validation Center to address the challenges of modern code validation and to manage the knowledge from past, current, and future experimental campaigns. By pulling together the best minds involved in code development, experiment design, and validation to establish and disseminate best practices and new techniques, the Nuclear Energy Knowledge and Validation Center (NEKVaC or the ‘Center’) will be a resource for industry, DOE Programs, and academia validation efforts.

  10. Certainty in Stockpile Computing: Recommending a Verification and Validation Program for Scientific Software

    SciTech Connect (OSTI)

    Lee, J.R.

    1998-11-01

    As computing assumes a more central role in managing the nuclear stockpile, the consequences of an erroneous computer simulation could be severe. Computational failures are common in other endeavors and have caused project failures, significant economic loss, and loss of life. This report examines the causes of software failure and proposes steps to mitigate them. A formal verification and validation program for scientific software is recommended and described.

  11. Management & Administration | Department of Energy

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

    Management & Administration Management & Administration Management & Administration The Office of Management and Administration directs the development, coordination, and execution ...

  12. Environmental Management System

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

    Management System Environmental Management System An Environmental Management System (EMS) is a set of processes and practices that enable an organization to reduce its...

  13. ORISE: Emergency Management

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

    Management Emergency Management Effective emergency management relies on thorough integration of preparedness plans at all levels of government. The Oak Ridge Institute for Science...

  14. M E Environmental Management Environmental Management

    Energy Savers [EERE]

    safety  performance  cleanup  closure M E Environmental Management Environmental Management safety  performance  cleanup  closure M E Environmental Management Environmental Management M E Environmental Management Environmental Management Office of Site Restoration, EM-10 Office of D&D and Facility Engineering, EM-13 Facility Deactivation & Decommissioning (D&D) D&D Program Map Addendum: Impact of American Recovery and Reinvestment Act (ARRA) on EM's D&D

  15. Experiments for foam model development and validation.

    SciTech Connect (OSTI)

    Bourdon, Christopher Jay; Cote, Raymond O.; Moffat, Harry K.; Grillet, Anne Mary; Mahoney, James F.; Russick, Edward Mark; Adolf, Douglas Brian; Rao, Rekha Ranjana; Thompson, Kyle Richard; Kraynik, Andrew Michael; Castaneda, Jaime N.; Brotherton, Christopher M.; Mondy, Lisa Ann; Gorby, Allen D.

    2008-09-01

    A series of experiments has been performed to allow observation of the foaming process and the collection of temperature, rise rate, and microstructural data. Microfocus video is used in conjunction with particle image velocimetry (PIV) to elucidate the boundary condition at the wall. Rheology, reaction kinetics and density measurements complement the flow visualization. X-ray computed tomography (CT) is used to examine the cured foams to determine density gradients. These data provide input to a continuum level finite element model of the blowing process.

  16. DOE Integrated Technology Validation Projects | Department of Energy

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

    Technology Validation » Integrated Projects » DOE Integrated Technology Validation Projects DOE Integrated Technology Validation Projects Integrated hydrogen and fuel cell systems will maximize overall system efficiencies, reduce costs, and optimize component development. DOE's Fuel Cell Technologies Office has a number of demonstrations underway to develop, evaluate, and validate the performance of integrated systems such as Power Parks. The status of DOE's integrated technology validation

  17. Best Management Practice #1: Water Management Planning

    Broader source: Energy.gov [DOE]

    A successful water management program starts with developing a comprehensive water management plan. This plan should be included within existing facility operating plans.

  18. Computer code input for thermal hydraulic analysis of Multi-Function Waste Tank Facility Title II design

    SciTech Connect (OSTI)

    Cramer, E.R.

    1994-10-01

    The input files to the P/Thermal computer code are documented for the thermal hydraulic analysis of the Multi-Function Waste Tank Facility Title II design analysis.

  19. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS

    SciTech Connect (OSTI)

    Tang, Wei; Chen, Gaoqiang; Chen, Jian; Yu, Xinghua; Frederick, David Alan; Feng, Zhili

    2015-01-01

    Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed in recent years because of their improved irradiation resistance. However, they can suffer from welding induced property degradations. In this paper, a solid phase joining technology friction stir welding (FSW) was adopted to join a RAFM steel Eurofer 97 and different FSW parameters/heat input were chosen to produce welds. FSW response parameters, joint microstructures and microhardness were investigated to reveal relationships among welding heat input, weld structure characterization and mechanical properties. In general, FSW heat input results in high hardness inside the stir zone mostly due to a martensitic transformation. It is possible to produce friction stir welds similar to but not with exactly the same base metal hardness when using low power input because of other hardening mechanisms. Further, post weld heat treatment (PWHT) is a very effective way to reduce FSW stir zone hardness values.

  20. Visualizations, Screen Shots, and Data Input Files from VisIT

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

    VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range. The VisIT website provides a gallery of vizualizations, another set of screen shots, and allows downloads of data files for input and source codes and executables for the VisIT software suite.

  1. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, A.L.; Crist, C.E.

    1995-09-26

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages. 1 fig.

  2. User manual for IOSYM: an input-oriented simulation language for continuous systems

    SciTech Connect (OSTI)

    Polito, J.

    1981-03-01

    IOSYM is an extension of the GASP IV simulation language. It permits systems which are sequences of continuous processes to be modeled graphically. Normally the system can be described by data input only. The language permits stochastic sequencing and termination criteria for processes and allows crossing conditions for ending operations that are more general than GASP IV. Extensive capability exists for conditional branching and logical modification of the network. IOSYM has been used to model the cost of geothermal drilling where the various costly processes of drilling are represented by IOSYM operations. The language is much more general, however, since it retains most of GASP IV's discrete event capabilities and permits easy modeling of continuous processes.

  3. Time dependence in atmospheric carbon inputs from drainage of organic soils

    SciTech Connect (OSTI)

    Rojstaczer, S.; Deverel, S.J. )

    1993-07-09

    The authors report the results of a study in the San Joaquin-Sacramento Delta of CO[sub 2] emission from drained soils relative to the rate of subsidence of the land. Their interest is in quantifying the rate carbon is freed from soils which are being drained, primarily for agricultural purposes, relative to the observed subsidence rates. This information is one of the inputs in the global carbon cycle. It is argued that most subsidence is the result of carbon oxidation. The fact that subsidence rates correlate with carbon dioxide emission rates supports this argument. In this Delta, subsidence rates have been decreasing in recent years, and measurements indicate that present carbon dioxide emission rates are lower than previous estimates by a factor or 3 or 4.

  4. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, Alan L. (Lee's Summit, MO); Crist, Charles E. (Waxahachie, TX)

    1995-09-26

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages.

  5. Data Management

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

    Data Management Please remove ALL data from /house! Do you still have data in /house/homedirs? Do you know if you have data in /house/homedirs? Please check now and make a plan for moving that data to the archiver or one of the NERSC file systems (for more information on these filesystems go to File storage and I/O). Moving data from house to DnA The DnA file system is primarily for finished projects, data that is ready to be archived, or data that is shared between groups. It is mounted

  6. 2016 DOE Project Management Workshop - "Enhancing Project Management...

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

    Management Workshop - "Enhancing Project Management" 2016 DOE Project Management Workshop - "Enhancing Project Management" 20160407-doe-project-management-workshop-ADJUST-slide.png ...

  7. Reviews and Validations | Department of Energy

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

    Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital Assets, ... Cost Estimates (ICEs) be conducted at various phases of certain capital asset projects. ...

  8. Risk Management Process Overview

    Broader source: Energy.gov [DOE]

    The cybersecurity risk management process explained in the Electricity Sector Cybersecurity Risk Management Process (RMP) Guideline has two primary components: the risk management model and the the risk management cycle.

  9. Land Ice Verification and Validation Kit

    Energy Science and Technology Software Center (OSTI)

    2015-07-15

    To address a pressing need to better understand the behavior and complex interaction of ice sheets within the global Earth system, significant development of continental-scale, dynamical ice-sheet models is underway. The associated verification and validation process of these models is being coordinated through a new, robust, python-based extensible software package, the Land Ice Verification and Validation toolkit (LIVV). This release provides robust and automated verification and a performance evaluation on LCF platforms. The performance V&Vmore » involves a comprehensive comparison of model performance relative to expected behavior on a given computing platform. LIVV operates on a set of benchmark and test data, and provides comparisons for a suite of community prioritized tests, including configuration and parameter variations, bit-4-bit evaluation, and plots of tests where differences occur.« less

  10. Land Ice Verification and Validation Kit

    SciTech Connect (OSTI)

    2015-07-15

    To address a pressing need to better understand the behavior and complex interaction of ice sheets within the global Earth system, significant development of continental-scale, dynamical ice-sheet models is underway. The associated verification and validation process of these models is being coordinated through a new, robust, python-based extensible software package, the Land Ice Verification and Validation toolkit (LIVV). This release provides robust and automated verification and a performance evaluation on LCF platforms. The performance V&V involves a comprehensive comparison of model performance relative to expected behavior on a given computing platform. LIVV operates on a set of benchmark and test data, and provides comparisons for a suite of community prioritized tests, including configuration and parameter variations, bit-4-bit evaluation, and plots of tests where differences occur.

  11. NASA Remote Sensing Validation Data: Saudi Arabia

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

    Myers, Daryl R. [NREL; Al-Abbadi, Naif [King Abdulaziz City for Science and Technology, Energy Research Institite; Wilcox, Steve [NREL

    Since 1995, the King Abdulaziz City for Science and Technology (KACST) and the National Renewable Energy Laboratory (NREL) have co-operated to establish a 12 station network of high quality solar radiation monitoring installations across the Kingdom of Saudi Arabia. NREL and KACST realized the value of accurate surface solar radiation flux measurements for validation of satellite derived surface and atmospheric solar radiation flux measurements, and is making this data available to support validation of satellite data products related to the NASA Mission to Planet Earth component of the Earth Science Enterprise Earth Observing System (EOS) project to evaluate long term climate trends based on measuements from EOS Terra Platforms. A CIMEL 8 channel sunphotometer for measuring aerosol optical depth at 6 wavelengths and total column water has been deployed at the Solar Village station since February 24, 1999. [Taken from http://rredc.nrel.gov/solar/new_data/Saudi_Arabia/

  12. Task 3 - RMC method validation project report

    SciTech Connect (OSTI)

    Sarkinen, R.A.

    1996-08-01

    The EPRI Substation Reliability Centered Maintenance Project Task 3 uses utility data to validate the RCM process for maintenance in substations. At BPA, this project was used to validate the RCM method for a preventive maintenance program for substations. This project was performed by an RCM technical team and all maintenance personnel at the Chemawa Maintenance District Headquarters. The system chosen for, this project involved four transmission lines that feeds 230 kV Santiam Substation. This report explains the process for the system approach-used for the Santiam project and a summary of the results. The current preventive maintenance program is primarily based on time. The RCM approach for a preventive maintenance program realized significant savings.

  13. Your Records Management Responsibilities

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

    Your Records Management Responsibilities Table of Contents INTRODUCTION RECORDS MANAGEMENT IN THE FEDERAL GOVERNMENT RECORDS MANAGEMENT IN THE DEPARTMENT OF ENERGY IMPORTANCE OF RECORDS MANAGEMENT YOUR RECORDS MANAGEMENT RESPONSIBILITIES RECORDS MANAGEMENT LIFE CYCLE ELECTRONIC RECORDS & RECORDKEEPING LAW, REGULATION, AND POLICY ASSISTANCE RECORDS MANAGEMENT TERMS 2 INTRODUCTION If you are a government employee or contractor working for a federal agency, records management is part of your

  14. Energy Management and Financing

    Office of Energy Efficiency and Renewable Energy (EERE)

    This Tuesday Webcast for Industry covers how to become a Certified Energy Manager and Certified Practitioner in Energy Management Systems

  15. Tidal & Current Modeling Development and Validation

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

    Tidal & Current Modeling Development and Validation - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense

  16. Validating Solar Innovation to Power Our Future

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

    Solar Innovation to Power Our Future The U.S. Department of Energy (DOE) has established five Regional Test Centers (RTCs) in New Mexico, Colorado, Florida, Nevada, and Vermont to demonstrate the bankability of new technologies. Funded by DOE's SunShot Initiative, the RTCs are part of a broad national effort to make solar energy cost-competitive with other forms of electricity by 2020. The RTCs validate new solar technologies and systems configurations, demonstrating performance and reliability

  17. Empirical Validation Workshop: Need and Theory

    Energy Savers [EERE]

    gov Empirical Validation Workshop: Need and Theory, Jan 28-29, 2015 Model vs Measured Pre-normative work by Labs, IEA, ASHRAE etc. becomes... Normative ANSI/ASHRAE Standard 140 Software Testing & Diagnostic Method: Finding needles in haystacks (BESTEST) 2 IRS & RESNET Qualified Software BESTESTed with Standard 140 EnerSim 179D Commercial Building Tax Credits (13 Simulation Tools) Hourly Analysis Program (HAP) RESNET (HERS, IECC, Tax Credits)(6 Tools) EnergyInsights(tm) TRANE/TRACE

  18. Plant perspective on electronic document management systems for process safety management programs

    SciTech Connect (OSTI)

    Mannan, M.; Lee, W.S. [RMT/Jones and Neuse, Inc., Austin, TX (United States)

    1996-08-01

    As mandated by the Clean Air Act Amendments of 1990, the Occupational Safety and Health Administration (OSHA) promulgated on February 24, 1992 the Process Management (PSM) rule: 29 CFR 1910.119. Compliance with the PSM requirements is causing a significant impact on both financial resources and manpower for the covered facilities. A major portion of the efforts have been concentrated on developing and compiling a vast amount of data in various formats (i.e., autocad, word processing, and numeric databases). Because of the need to access and revise these data on a continuous basis, many facilities have started to implement computer-based document management systems to store, manage, and maintain these data. This paper provides a plant perspective of the necessary features and characteristics of a computer-based document management system. An electronic document management system can also form the basis for a plant workflow system. Once, all the information related to a plant`s PSM program are inputted into the system, it is possible to control the plant workflow using the management of change system and maintenance work requests. Other key issues that must be included in a computer-based system are redlining capabilities, execution of management of change authorization, and interfacing with existing computer programs (many plants are already using different kinds of software for a variety of objectives). This paper provides a roadmap for the development and implementation of an electronic document management system.

  19. Security Technology Demonstration and Validation Sustainability Plan

    SciTech Connect (OSTI)

    2008-08-31

    This report describes the process of creating continuity and sustainability for demonstration and validation (DEMVAL) assets at the National Security Technology Incubator (NSTI). The DEMVAL asset program is being developed as part of the National Security Preparedness Project (NSPP), funded by Department of Energy (DOE)/National Nuclear Security Administration (NNSA). The mission of the NSTI program is to identify, incubate, and accelerate technologies with national security applications at various stages of development by providing hands-on mentoring and business assistance to small businesses and emerging or growing companies. Part of this support is envisioned to be research and development of companies technology initiatives, at the same time providing robust test and evaluation of actual development activities. This program assists companies in developing technologies under the NSTI program through demonstration and validation of technologies applicable to national security created by incubators and other sources. The NSPP also will support the creation of an integrated demonstration and validation environment. Development of the commercial potential for national security technologies is a significant NSTI focus. As part of the process of commercialization, a comprehensive DEMVAL program has been recognized as an essential part of the overall incubator mission. A number of resources have been integrated into the NSTI program to support such a DEMVAL program.

  20. John Angelis named Manager, Information Resource Management

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

    Names John S. Angelis Manager of Information Resource Management CARLSBAD, N.M., March 22, 2000 - The Westinghouse Waste Isolation Division (WID) has named John S. Angelis of Carlsbad as Manager of Information Resource Management at the Waste Isolation Pilot Plant (WIPP). "John's extensive computer technology and telecommunications experience, combined with his progressive attitude, make him an ideal choice for this increasingly important position," said WID General Manager Joe

  1. UNCLASSIFIED Nuclear Materials Management & Safeguards System

    National Nuclear Security Administration (NNSA)

    Nuclear Materials Management & Safeguards System CHANGE OF PROJECT NUMBER UPDATE PROJECT Project Number: Title: Date Valid: Date Deactivated: Classification Codes: Project Number: Project Title: Associated Materials: Programmatic RIS Previous Project Number(s) Status Code Allotment Code (S=Supplier, U=User) I authorize that the information listed above is for the NMMSS Program to use as part of the project number conversion process for this facility. Signature of Authorized Official Date

  2. P AUll u.s. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER

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

    AUll ) u.s. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERlVIINATION Page I of3 RECIPIENT: Proton Energy Systems STATE: CT PROJECT TITLE: Validation of an Advanced...

  3. Performance Measures for Evaluating Public Participation Activities in the Office of Environmental Management (DOE)

    SciTech Connect (OSTI)

    Carnes, S.A.

    2001-02-15

    Public participation in Office of Environmental Management (EM) activities throughout the DOE complex is a critical component of the overall success of remediation and waste management efforts. The challenges facing EM and its stakeholders over the next decade or more are daunting (Nuclear Waste News 1996). Achieving a mission composed of such challenges will require innovation, dedication, and a significant degree of good will among all stakeholders. EM's efforts to date, including obtaining and using inputs offered by EM stakeholders, have been notable. Public participation specialists have accepted and met challenges and have consistently tried to improve their performance. They have reported their experiences both formally and informally (e.g., at professional conferences and EM Public Participation Network Workshops, other internal meetings of DOE and contractor public participation specialists, and one-on-one consultations) in order to advance the state of their practice. Our research, and our field research in particular (including our interactions with many representatives of numerous stakeholder groups at nine DOE sites with diverse EM problems), have shown that it, is possible to develop coherent results even in a problem domain as complex as that of EM. We conclude that performance-based evaluations of public participation appear possible, and we have recommended an approach, based on combined and integrated multi-stakeholder views on the attributes of successful public participation and associated performance indicators, that seems workable and should be acceptable to diverse stakeholders. Of course, as an untested recommendation, our approach needs the validation that can only be achieved by application (perhaps at a few DOE sites with ongoing EM activities). Such an application would serve to refine the proposed approach in terms of its clarity, its workability, and its potential for full-scale use by EM and, potentially, other government agencies and private sector concerns.

  4. Benchmark data for validating irradiated fuel compositions used in criticality calculations

    SciTech Connect (OSTI)

    Bierman, S.R.; Talbert, R.J.

    1994-10-01

    To establish criticality safety margins utilizing burnup credit in the storage and transport of spent reactor fuels requires a knowledge of the uncertainty in the calculated fuel composition used in making the reactivity assessment. To provide data for validating such calculated burnup fuel compositions, radiochemical assays have been obtained as part of the United States Department of Energy From-Reactor Cask Development Program. Assay results and associated operating histories on the initial three samples analyzed in this effort are presented. The three samples were taken from different axial regions of a Pressurized Water Reactor fuel rod and represent radiation exposures of about 37, 27, and 44 GWd/MTU. The data are presented in a benchmark type format to facilitate identification/referencing and computer code input.

  5. Validation of Heat Transfer Thermal Decomposition and Container Pressurization of Polyurethane Foam.

    SciTech Connect (OSTI)

    Scott, Sarah Nicole; Dodd, Amanda B.; Larsen, Marvin E.; Suo-Anttila, Jill M.; Erickson, Kenneth L

    2014-09-01

    Polymer foam encapsulants provide mechanical, electrical, and thermal isolation in engineered systems. In fire environments, gas pressure from thermal decomposition of polymers can cause mechanical failure of sealed systems. In this work, a detailed uncertainty quantification study of PMDI-based polyurethane foam is presented to assess the validity of the computational model. Both experimental measurement uncertainty and model prediction uncertainty are examined and compared. Both the mean value method and Latin hypercube sampling approach are used to propagate the uncertainty through the model. In addition to comparing computational and experimental results, the importance of each input parameter on the simulation result is also investigated. These results show that further development in the physics model of the foam and appropriate associated material testing are necessary to improve model accuracy.

  6. Model Validation and Testing: The Methodological Foundation of ASHRAE Standard 140; Preprint

    SciTech Connect (OSTI)

    Judkoff, R.; Neymark, J.

    2006-07-01

    Ideally, whole-building energy simulation programs model all aspects of a building that influence energy use and thermal and visual comfort for the occupants. An essential component of the development of such computer simulation models is a rigorous program of validation and testing. This paper describes a methodology to evaluate the accuracy of whole-building energy simulation programs. The methodology is also used to identify and diagnose differences in simulation predictions that may be caused by algorithmic differences, modeling limitations, coding errors, or input errors. The methodology has been adopted by ANSI/ASHRAE Standard 140 (ANSI/ASHRAE 2001, 2004), Method of Test for the Evaluation of Building Energy Analysis Computer Programs. A summary of the method is included in the ASHRAE Handbook of Fundamentals (ASHRAE 2005). This paper describes the ANSI/ASHRAE Standard 140 method of test and its methodological basis. Also discussed are possible future enhancements to Standard 140 and related research recommendations.

  7. Model Validation and Testing: The Methodological Foundation of ASHRAE Standard 140

    SciTech Connect (OSTI)

    Judkoff, R.; Neymark, J.

    2006-01-01

    Ideally, whole-building energy simulation programs model all aspects of a building that influence energy use and thermal and visual comfort for the occupants. An essential component of the development of such computer simulation models is a rigorous program of validation and testing. This paper describes a methodology to evaluate the accuracy of whole-building energy simulation programs. The methodology is also used to identify and diagnose differences in simulation predictions that may be caused by algorithmic differences, modeling limitations, coding errors, or input errors. The methodology has been adopted by ANSI/ASHRAE Standard 140, Method of Test for the Evaluation of Building Energy Analysis Computer Programs (ASHRAE 2001a, 2004). A summary of the method is included in the 2005 ASHRAE Handbook--Fundamentals (ASHRAE 2005). This paper describes the ASHRAE Standard 140 method of test and its methodological basis. Also discussed are possible future enhancements to ASHRAE Standard 140 and related research recommendations.

  8. DOE seeks public input on scope of environmental review for the Global

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

    National Nuclear Security Administration recognizes Nevada National Security Site contractor for safety Tuesday, September 8, 2015 - 9:09am Steve Lawrence,left, and Ray Juzaitis National Security Technologies (NSTec), the primary contractor at the Nevada National Security Site, has been recognized by the Department of Energy for excellence in occupational safety and health protection. National Nuclear Security Administration Nevada Field Office Manager Steve Lawrence, left, presented NSTec

  9. Effect of heat input on the microstructure, residual stresses and corrosion resistance of 304L austenitic stainless steel weldments

    SciTech Connect (OSTI)

    Unnikrishnan, Rahul, E-mail: rahulunnikrishnannair@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Idury, K.S.N. Satish, E-mail: satishidury@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Ismail, T.P., E-mail: tpisma@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Bhadauria, Alok, E-mail: alokbhadauria1@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Shekhawat, S.K., E-mail: satishshekhawat@gmail.com [Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay (IITB), Powai, Mumbai 400076, Maharashtra (India); Khatirkar, Rajesh K., E-mail: rajesh.khatirkar@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Sapate, Sanjay G., E-mail: sgsapate@yahoo.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India)

    2014-07-01

    Austenitic stainless steels are widely used in high performance pressure vessels, nuclear, chemical, process and medical industry due to their very good corrosion resistance and superior mechanical properties. However, austenitic stainless steels are prone to sensitization when subjected to higher temperatures (673 K to 1173 K) during the manufacturing process (e.g. welding) and/or certain applications (e.g. pressure vessels). During sensitization, chromium in the matrix precipitates out as carbides and intermetallic compounds (sigma, chi and Laves phases) decreasing the corrosion resistance and mechanical properties. In the present investigation, 304L austenitic stainless steel was subjected to different heat inputs by shielded metal arc welding process using a standard 308L electrode. The microstructural developments were characterized by using optical microscopy and electron backscattered diffraction, while the residual stresses were measured by X-ray diffraction using the sin{sup 2}? method. It was observed that even at the highest heat input, shielded metal arc welding process does not result in significant precipitation of carbides or intermetallic phases. The ferrite content and grain size increased with increase in heat input. The grain size variation in the fusion zone/heat affected zone was not effectively captured by optical microscopy. This study shows that electron backscattered diffraction is necessary to bring out changes in the grain size quantitatively in the fusion zone/heat affected zone as it can consider twin boundaries as a part of grain in the calculation of grain size. The residual stresses were compressive in nature for the lowest heat input, while they were tensile at the highest heat input near the weld bead. The significant feature of the welded region and the base metal was the presence of a very strong texture. The texture in the heat affected zone was almost random. - Highlights: Effect of heat input on microstructure, residual stresses and corrosion is studied. HAZ and width of dendrite in the welded region increase with heat input. Residual stresses are tensile near the welded region after the highest heat input. Welded region has the highest pit density after highest heat input. Dendrites and ?-ferrite were highly oriented in the welded region.

  10. Development of a Novel Bi-Directional Isolated Multiple-Input DC-DC Converter

    SciTech Connect (OSTI)

    Li, H.

    2005-10-24

    There is vital need for a compact, lightweight, and efficient energy-storage system that is both affordable and has an acceptable cycle life for the large-scale production of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Most of the current research employs a battery-storage unit (BU) combined with a fuel cell (FC) stack in order to achieve the operating voltage-current point of maximum efficiency for the FC system. A system block diagram is shown in Fig.1.1. In such a conventional arrangement, the battery is sized to deliver the difference between the energy required by the traction drive and the energy supplied by the FC system. Energy requirements can increase depending on the drive cycle over which the vehicle is expected to operate. Peak-power transients result in an increase of losses and elevated temperatures which result in a decrease in the lifetime of the battery. This research will propose a novel two-input direct current (dc) dc to dc converter to interface an additional energy-storage element, an ultracapacitor (UC), which is shown in Fig.1.2. It will assist the battery during transients to reduce the peak-power requirements of the battery.

  11. Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site

    SciTech Connect (OSTI)

    Pinckard, Margaret J.; Brown, Richard E.; Mills, Evan; Lutz, James D.; Moezzi, Mithra M.; Atkinson, Celina; Bolduc, Chris; Homan, Gregory K.; Coughlin, Katie

    2005-07-13

    The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

  12. LLNL Input to SNL L2 MS: Report on the Basis for Selection of Disposal Options

    SciTech Connect (OSTI)

    Sutton, M; Blink, J A; Halsey, W G

    2011-03-02

    This mid-year deliverable has two parts. The first part is a synopsis of J. Blink's interview of the former Nevada Attorney General, Frankie Sue Del Papa, which was done in preparation for the May 18-19, 2010 Legal and Regulatory Framework Workshop held in Albuquerque. The second part is a series of sections written as input for the SNL L2 Milestone M21UF033701, due March 31, 2011. Disposal of high-level radioactive waste is categorized in this review into several categories. Section II discusses alternatives to geologic disposal: space, ice-sheets, and an engineered mountain or mausoleum. Section III discusses alternative locations for mined geologic disposal: islands, coastlines, mid-continent, and saturated versus unsaturated zone. Section IV discusses geologic disposal alternatives other than emplacement in a mine: well injection, rock melt, sub-seabed, and deep boreholes in igneous or metamorphic basement rock. Finally, Secton V discusses alternative media for mined geologic disposal: basalt, tuff, granite and other igneous/metamorphic rock, alluvium, sandstone, carbonates and chalk, shale and clay, and salt.

  13. Sensitivity of injection costs to input petrophysical parameters in numerical geologic carbon sequestration models

    SciTech Connect (OSTI)

    Cheng, C. L.; Gragg, M. J.; Perfect, E.; White, Mark D.; Lemiszki, P. J.; McKay, L. D.

    2013-08-24

    Numerical simulations are widely used in feasibility studies for geologic carbon sequestration. Accurate estimates of petrophysical parameters are needed as inputs for these simulations. However, relatively few experimental values are available for CO2-brine systems. Hence, a sensitivity analysis was performed using the STOMP numerical code for supercritical CO2 injected into a model confined deep saline aquifer. The intrinsic permeability, porosity, pore compressibility, and capillary pressure-saturation/relative permeability parameters (residual liquid saturation, residual gas saturation, and van Genuchten alpha and m values) were varied independently. Their influence on CO2 injection rates and costs were determined and the parameters were ranked based on normalized coefficients of variation. The simulations resulted in differences of up to tens of millions of dollars over the life of the project (i.e., the time taken to inject 10.8 million metric tons of CO2). The two most influential parameters were the intrinsic permeability and the van Genuchten m value. Two other parameters, the residual gas saturation and the residual liquid saturation, ranked above the porosity. These results highlight the need for accurate estimates of capillary pressure-saturation/relative permeability parameters for geologic carbon sequestration simulations in addition to measurements of porosity and intrinsic permeability.

  14. Input of 129I into the western Pacific Ocean resulting from the Fukushima nuclear event

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

    Tumey, S. J.; Guilderson, T. P.; Brown, T. A.; Broek, T.; Buesseler, K. O.

    2013-04-02

    We present an initial characterization of the input of 129I into the Pacific Ocean resulting from the 2011 Fukushima nuclear accident. This characterization is based primarily on 129I measurements on samples collected from a research cruise conducted in waters off the eastern coast of Japan in June 2011. The resulting measurements were compared with samples intended to reflect pre-Fukushima background that were collected during a May 2011 transect of the Pacific by a commercial container vessel. In surface waters, we observed peak 129I concentrations of ~300 μBq/m3 which represents an elevation of nearly three orders of magnitude compared to pre-Fukushimamore » backgrounds. The 129I results were coupled with 137Cs measurements from the same cruise and derived an average 129I/137Cs activity ratio of 0.442 × 10-6 for the effluent from Fukushima. Finally, we present 129I depth profiles from five stations from this cruise which form the basis for future studies of ocean transport and mixing process as well as estimations of the total budget of 129I released into the Pacific.« less

  15. Transient Mixed Convection Validation for NGNP

    SciTech Connect (OSTI)

    Smith, Barton; Schultz, Richard

    2015-10-19

    The results of this project are best described by the papers and dissertations that resulted from the work. They are included in their entirety in this document. They are: (1) Jeff Harris PhD dissertation (focused mainly on forced convection); (2) Blake Lance PhD dissertation (focused mainly on mixed and transient convection). This dissertation is in multi-paper format and includes the article currently submitted and one to be submitted shortly; and, (3) JFE paper on CFD Validation Benchmark for Forced Convection.

  16. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation...

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

    Sampling (PGS) Validation Field Campaign 2002.01.01 - 2002.07.31 Lead Scientist : Marc Fischer For data sets, see below. Abstract The PGS validation will continue measuring the...

  17. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation...

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

    govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Related Campaigns PGS Validation 2011-2013 2011.03.01, Fischer, SGP PGS...

  18. ARM - Field Campaign - TX-2002 AIRS Validation Campaign

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

    govCampaignsTX-2002 AIRS Validation Campaign Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : TX-2002 AIRS Validation...

  19. Validation of SCALE for High Temperature Gas-Cooled Reactors...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Validation of SCALE for High Temperature Gas-Cooled Reactors Analysis Citation Details In-Document Search Title: Validation of SCALE for High Temperature Gas-Cool...

  20. Validation and Application of the 3D Neutron Transport MPACT...

    Office of Scientific and Technical Information (OSTI)

    Validation and Application of the 3D Neutron Transport MPACT within CASL VERA-CS Citation Details In-Document Search Title: Validation and Application of the 3D Neutron Transport ...

  1. Validation of the thermospheric vector spherical harmonic (VSH) computer model. Master's thesis

    SciTech Connect (OSTI)

    Davis, J.L.

    1991-01-01

    A semi-empirical computer model of the lower thermosphere has been developed that provides a description of the composition and dynamics of the thermosphere (Killeen et al., 1992). Input variables needed to run the VSH model include time, space and geophysical conditions. One of the output variables the model provides, neutral density, is of particular interest to the U.S. Air Force. Neutral densities vary both as a result of change in solar flux (eg. the solar cycle) and as a result of changes in the magnetosphere (eg. large changes occur in neutral density during geomagnetic storms). Satellites in earth orbit experience aerodynamic drag due to the atmospheric density of the thermosphere. Variability in the neutral density described above affects the drag a satellite experiences and as a result can change the orbital characteristics of the satellite. These changes make it difficult to track the satellite's position. Therefore, it is particularly important to insure that the accuracy of the model's neutral density is optimized for all input parameters. To accomplish this, a validation program was developed to evaluate the strengths and weaknesses of the model's density output by comparing it to SETA-2 (satellite electrostatic accelerometer) total mass density measurements.

  2. Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project

    SciTech Connect (OSTI)

    Wipke, K.; Spirk, S.; Kurtz, J.; Ramsden, T.

    2010-09-01

    Graphs of composite data products produced by DOE's Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation project through September 2010.

  3. Measures of agreement between computation and experiment:validation...

    Office of Scientific and Technical Information (OSTI)

    and safety assessment, improved methods are needed for comparing computational ... EXPERIMENTS Uncertainty-Mathematical models.; Validation-Simulation.; Experimental design. ...

  4. Advanced Supply System Validation Workshop | Department of Energy

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

    Advanced Supply System Validation Workshop Advanced Supply System Validation Workshop The Bioenergy Technologies Office (BETO) hosted the Advanced Supply System Validation Workshop on February 3-4, 2015, in Golden, Colorado. The purpose of the workshop was to bring together a diverse group of stakeholders to examine, discuss, and validate analysis assumptions used to move beyond current feedstock supply systems designed to support the agriculture and forestry industries. Participants discussed

  5. Vehicle Technologies Office: Integration, Validation and Testing Tools and

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

    Procedures | Department of Energy Modeling, Testing, Data & Results » Vehicle Technologies Office: Integration, Validation and Testing Tools and Procedures Vehicle Technologies Office: Integration, Validation and Testing Tools and Procedures The Vehicle Technologies Office supports facilities and tools such as Oak Ridge National Laboratory's Vehicle Systems Integration Laboratory to integrate, validate, and test advanced vehicle technologies. Read the text version. The Vehicle

  6. CASL Validation Data: An Initial Review

    SciTech Connect (OSTI)

    Nam Dinh

    2011-01-01

    The study aims to establish a comprehensive view of “data” needed for supporting implementation of the Consortium of Advanced Simulation of LWRs (CASL). Insights from this review (and its continual refinement), together with other elements developed in CASL, should provide the foundation for developing the CASL Validation Data Plan (VDP). VDP is instrumental to the development and assessment of CASL simulation tools as predictive capability. Most importantly, to be useful for CASL, the VDP must be devised (and agreed upon by all participating stakeholders) with appropriate account for nature of nuclear engineering applications, the availability, types and quality of CASL-related data, and novelty of CASL goals and its approach to the selected challenge problems. The initial review (summarized on the January 2011 report version) discusses a broad range of methodological issues in data review and Validation Data Plan. Such a top-down emphasis in data review is both needed to see a big picture on CASL data and appropriate when the actual data are not available for detailed scrutiny. As the data become available later in 2011, a revision of data review (and regular update) should be performed. It is expected that the basic framework for review laid out in this report will help streamline the CASL data review in a way that most pertinent to CASL VDP.

  7. SPR Hydrostatic Column Model Verification and Validation.

    SciTech Connect (OSTI)

    Bettin, Giorgia; Lord, David; Rudeen, David Keith

    2015-10-01

    A Hydrostatic Column Model (HCM) was developed to help differentiate between normal "tight" well behavior and small-leak behavior under nitrogen for testing the pressure integrity of crude oil storage wells at the U.S. Strategic Petroleum Reserve. This effort was motivated by steady, yet distinct, pressure behavior of a series of Big Hill caverns that have been placed under nitrogen for extended period of time. This report describes the HCM model, its functional requirements, the model structure and the verification and validation process. Different modes of operation are also described, which illustrate how the software can be used to model extended nitrogen monitoring and Mechanical Integrity Tests by predicting wellhead pressures along with nitrogen interface movements. Model verification has shown that the program runs correctly and it is implemented as intended. The cavern BH101 long term nitrogen test was used to validate the model which showed very good agreement with measured data. This supports the claim that the model is, in fact, capturing the relevant physical phenomena and can be used to make accurate predictions of both wellhead pressure and interface movements.

  8. Verification and validation for induction heating

    SciTech Connect (OSTI)

    Lam, Kin [Los Alamos National Laboratory; Tippetts, Trevor B [Los Alamos National Laboratory; Allen, David W [NON LANL

    2008-01-01

    Truchas is a software package being developed at LANL within the Telluride project for predicting the complex physical processes in metal alloy casting. The software was designed to be massively parallel, multi-material, multi-physics, and to run on 3D, fully unstructured meshes. This work describes a Verification and Validation assessment of Truchas for simulating the induction heating phase of a casting process. We used existing data from a simple experiment involving the induction heating of a graphite cylinder, as graphite is a common material used for mold assemblies. Because we do not have complete knowledge of all the conditions and properties in this experiment (as is the case in many other experiments), we performed a parameter sensitivity study, modeled the uncertainties of the most sensitive parameters, and quantified how these uncertainties propagate to the Truchas output response. A verification analysis produced estimates of the numerical error of the Truchas solution to our computational model. The outputs from Truchas runs with randomly sampled parameter values were used for the validation study.

  9. US-CERT Control System Center Input/Output (I/O) Conceputal Design

    SciTech Connect (OSTI)

    Not Available

    2005-02-01

    This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components). This will be accomplished through the design and implementation of a modular infrastructure of control system, communications, networking, computing and associated equipment, and measurement/control devices. The architecture upgrade will provide a flexible patching system providing a quick ''plug and play''configuration through various communication paths to gain access to live I/O running over specific protocols. This will allow for in-depth assessments of control systems in a true-to-life environment. The full I/O upgrade will be completed through a two-phased approach. Phase I, funded by DHS, expands the capabilities of the Test Bed by developing an operational control system in two functional areas, the Science & Technology Applications Research (STAR) Facility and the expansion of various portions of the Test Bed. Phase II (see Appendix A), funded by other programs, will complete the full I/O upgrade to the facility.

  10. SRTC Input to DOE-HQ R and D Database for FY98

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    1998-11-18

    IDWP is a software application that was developed to identify the groundwater monitoring wells at SRS that require containerization and treatment for purge water generated during sampling. Created by the Statistical Consulting Section of SRTC, IDWP is a SAS application that retrieves the necessary data for wells selected by the user from the Site's extensive groundwater database on a remote machine. The program then applies an algorithm, derived by the Environmental Protection Department from the SRS Investigation-Derived Waste (IDW) Management Plan, to the analytical results to determine whether containerization is required for the specified wells. IDWP produces output files that designate the containerization status of each of the selected wells, provide statistics to support the treatment facilities' permits, and assist with controlling and scheduling the handling of the managed purge water. The SRS Aqueous IDW Administrator in the Environmental Restoration Division (ERD) uses IDWP in conjunction with knowledge of new wells to produce quarterly reports that specify which groundwater monitoring wells require purge water containerization for each treatment facility. Special reports supply other groundwater information of interest to ERD, such as analytical concentration plots and groundwater data gathering. Benefits include the timely generation of containerization lists for each treatment facility; the automatic retrieval of, and complex calculations for, extremely large amounts of data, ensuring consistent, accurate, and current containerization lists; and features such as a user-friendly interface, availability through computer networks, access for simultaneous multiple users, and independence from any particular person. The scope of IDWP continually expands to accommodate changes to the IDW Management Plan and to satisfy additional needs as they are identified, including the development of an Intranet interface for FY99.

  11. Input-output relations at dispersing and absorbing planar multilayers for the quantized electromagnetic field containing evanescent components

    SciTech Connect (OSTI)

    Khanbekyan, Mikayel; Knoell, Ludwig; Welsch, Dirk-Gunnar

    2003-06-01

    By using the Green-function concept of quantization of the electromagnetic field in dispersing and absorbing media, the quantized field in the presence of a dispersing and absorbing dielectric multilayer plate is studied. Three-dimensional input-output relations are derived for both amplitude operators in the k space and the field operators in the coordinate space. The conditions are discussed, under which the input-output relations can be expressed in terms of bosonic operators. The theory applies to both (effectively) free fields and fields, created by active atomic sources inside and/or outside the plate, including also evanescent-field components.

  12. Stormwater runoff management: Part 1

    SciTech Connect (OSTI)

    Lee, G.F.; Jones-Lee, A.

    1994-11-01

    The basic question is related to practicality and cost-effectiveness--that is, are the structural stormwater control devices being installed in many areas of the country actually doing the job for which they are designed? Public works directors for many cites and counties, and stormwater management agencies are involved in developing programs designed to implement best management practices (BMPs). These structures supposedly control chemical contaminants in stormwater runoff from urban areas. Current activities in stormwater quality management have evolved from the EPA`s National Urban Runoff Program (NURP) begun in the 1970s. An extension of that program was established in 1990 to implement the stormwater-related provisions of the 1987 amendments to the Clean Water Act. This article discusses issues of assessing real pollution, i.e., designated beneficial use impairment in receiving waters, that stormwater run-off causes. Without a clear understanding of the pollution caused (or not caused) by runoff, it is obviously not possible to develop technically valid, cost-effective control programs that control pollution to the maximum extent practicable.

  13. Systematic approach to verification and validation: High explosive burn models

    SciTech Connect (OSTI)

    Menikoff, Ralph; Scovel, Christina A.

    2012-04-16

    Most material models used in numerical simulations are based on heuristics and empirically calibrated to experimental data. For a specific model, key questions are determining its domain of applicability and assessing its relative merits compared to other models. Answering these questions should be a part of model verification and validation (V and V). Here, we focus on V and V of high explosive models. Typically, model developers implemented their model in their own hydro code and use different sets of experiments to calibrate model parameters. Rarely can one find in the literature simulation results for different models of the same experiment. Consequently, it is difficult to assess objectively the relative merits of different models. This situation results in part from the fact that experimental data is scattered through the literature (articles in journals and conference proceedings) and that the printed literature does not allow the reader to obtain data from a figure in electronic form needed to make detailed comparisons among experiments and simulations. In addition, it is very time consuming to set up and run simulations to compare different models over sufficiently many experiments to cover the range of phenomena of interest. The first difficulty could be overcome if the research community were to support an online web based database. The second difficulty can be greatly reduced by automating procedures to set up and run simulations of similar types of experiments. Moreover, automated testing would be greatly facilitated if the data files obtained from a database were in a standard format that contained key experimental parameters as meta-data in a header to the data file. To illustrate our approach to V and V, we have developed a high explosive database (HED) at LANL. It now contains a large number of shock initiation experiments. Utilizing the header information in a data file from HED, we have written scripts to generate an input file for a hydro code, run a simulation, and generate a comparison plot showing simulated and experimental velocity gauge data. These scripts are then applied to several series of experiments and to several HE burn models. The same systematic approach is applicable to other types of material models; for example, equations of state models and material strength models.

  14. DOE Jobs Online (Hiring Manager), Office of Human Capitol Management...

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

    Jobs Online (Hiring Manager), Office of Human Capitol Management Innovation and Solutions DOE Jobs Online (Hiring Manager), Office of Human Capitol Management Innovation and ...

  15. Project Manager's Guide to Managing Impact and Process Evaluation...

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

    Project Manager's Guide to Managing Impact and Process Evaluation Studies Project Manager's Guide to Managing Impact and Process Evaluation Studies This report provides a...

  16. Alaska North Slope Tundra Travel Model and Validation Study

    SciTech Connect (OSTI)

    Harry R. Bader; Jacynthe Guimond

    2006-03-01

    The Alaska Department of Natural Resources (DNR), Division of Mining, Land, and Water manages cross-country travel, typically associated with hydrocarbon exploration and development, on Alaska's arctic North Slope. This project is intended to provide natural resource managers with objective, quantitative data to assist decision making regarding opening of the tundra to cross-country travel. DNR designed standardized, controlled field trials, with baseline data, to investigate the relationships present between winter exploration vehicle treatments and the independent variables of ground hardness, snow depth, and snow slab thickness, as they relate to the dependent variables of active layer depth, soil moisture, and photosynthetically active radiation (a proxy for plant disturbance). Changes in the dependent variables were used as indicators of tundra disturbance. Two main tundra community types were studied: Coastal Plain (wet graminoid/moist sedge shrub) and Foothills (tussock). DNR constructed four models to address physical soil properties: two models for each main community type, one predicting change in depth of active layer and a second predicting change in soil moisture. DNR also investigated the limited potential management utility in using soil temperature, the amount of photosynthetically active radiation (PAR) absorbed by plants, and changes in microphotography as tools for the identification of disturbance in the field. DNR operated under the assumption that changes in the abiotic factors of active layer depth and soil moisture drive alteration in tundra vegetation structure and composition. Statistically significant differences in depth of active layer, soil moisture at a 15 cm depth, soil temperature at a 15 cm depth, and the absorption of photosynthetically active radiation were found among treatment cells and among treatment types. The models were unable to thoroughly investigate the interacting role between snow depth and disturbance due to a lack of variability in snow depth cover throughout the period of field experimentation. The amount of change in disturbance indicators was greater in the tundra communities of the Foothills than in those of the Coastal Plain. However the overall level of change in both community types was less than expected. In Coastal Plain communities, ground hardness and snow slab thickness were found to play an important role in change in active layer depth and soil moisture as a result of treatment. In the Foothills communities, snow cover had the most influence on active layer depth and soil moisture as a result of treatment. Once certain minimum thresholds for ground hardness, snow slab thickness, and snow depth were attained, it appeared that little or no additive effect was realized regarding increased resistance to disturbance in the tundra communities studied. DNR used the results of this modeling project to set a standard for maximum permissible disturbance of cross-country tundra travel, with the threshold set below the widely accepted standard of Low Disturbance levels (as determined by the U.S. Fish and Wildlife Service). DNR followed the modeling project with a validation study, which seemed to support the field trial conclusions and indicated that the standard set for maximum permissible disturbance exhibits a conservative bias in favor of environmental protection. Finally DNR established a quick and efficient tool for visual estimations of disturbance to determine when investment in field measurements is warranted. This Visual Assessment System (VAS) seemed to support the plot disturbance measurements taking during the modeling and validation phases of this project.

  17. AWWA Utility Management Conference

    Broader source: Energy.gov [DOE]

    Hosted by the American Water Works Association (AWWA), the Utility Management Conference is one of the leading management conferences to share experiences and learn from others in similar situations to the most pressing management issues of the day.

  18. Managing Your User Account

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

    Managing Your Account Managing Your User Account Use the NERSC Information Management (NIM) system to customize your user account and keep your personal information up-to-date. See...

  19. Calculation Package for the Analysis of Performance of Cells 1-6, with Underdrain, of the Environmental Management Waste Management Facility Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    Gonzales D.

    2010-03-30

    This calculation package presents the results of an assessment of the performance of the 6 cell design of the Environmental Management Waste Management Facility (EMWMF). The calculations show that the new cell 6 design at the EMWMF meets the current WAC requirement. QA/QC steps were taken to verify the input/output data for the risk model and data transfer from modeling output files to tables and calculation.

  20. Linking atomistic and mesoscale simulations of nanocrystalline materials : quantitative validation for the case of grain growth.

    SciTech Connect (OSTI)

    Moldovan, D.; Wolf, D.; Phillpot, S. R.; Materials Science Division; Louisiana State Univ.

    2003-11-01

    Using grain growth in nanocrystalline palladium as a simple case study, we demonstrate how a novel mesoscale approach for simulating microstructural evolution in polycrystalline materials can be validated directly against atomic-level simulations of the same system. We first describe molecular dynamics simulations of grain growth in a columnar model microstructure. The atomic-level insights into the grain-growth mechanism gained from these simulations, particularly in the role of grain rotations, are captured theoretically for incorporation into the mesoscale approach, in which the objects evolving in space and time are the grain boundaries and grain junctions rather than the atoms. With all the input parameters to the mesoscale being physically well defined and obtained directly from the atomic-level simulations, the mesoscale simulations are fully prescribed. We find that the morphology of the mesoscale system evolves in an almost identical manner with that of the molecular dynamics simulation, demonstrating that the length- and time-scale linking has been performed correctly. When applied to systems containing large numbers of grains, the now validated mesoscale simulation approach allows the growth topology and long-time growth kinetics to be determined. As an outlook, we describe how the effects of applied stress can be incorporated.

  1. Real-World Hydrogen Technology Validation: Preprint

    SciTech Connect (OSTI)

    Sprik, S.; Kurtz, J.; Wipke, K.; Ramsden, T.; Ainscough, C.; Eudy, L.; Saur, G.

    2012-03-01

    The Department of Energy, the Department of Defense's Defense Logistics Agency, and the Department of Transportation's Federal Transit Administration have funded learning demonstrations and early market deployments to provide insight into applications of hydrogen technologies on the road, in the warehouse, and as stationary power. NREL's analyses validate the technology in real-world applications, reveal the status of the technology, and facilitate the development of hydrogen and fuel cell technologies, manufacturing, and operations. This paper presents the maintenance, safety, and operation data of fuel cells in multiple applications with the reported incidents, near misses, and frequencies. NREL has analyzed records of more than 225,000 kilograms of hydrogen that have been dispensed through more than 108,000 hydrogen fills with an excellent safety record.

  2. Boron-10 Lined Proportional Counter Model Validation

    SciTech Connect (OSTI)

    Lintereur, Azaree T.; Siciliano, Edward R.; Kouzes, Richard T.

    2012-06-30

    The Department of Energy Office of Nuclear Safeguards (NA-241) is supporting the project “Coincidence Counting With Boron-Based Alternative Neutron Detection Technology” at Pacific Northwest National Laboratory (PNNL) for the development of an alternative neutron coincidence counter. The goal of this project is to design, build and demonstrate a boron-lined proportional tube-based alternative system in the configuration of a coincidence counter. This report discusses the validation studies performed to establish the degree of accuracy of the computer modeling methods current used to simulate the response of boron-lined tubes. This is the precursor to developing models for the uranium neutron coincidence collar under Task 2 of this project.

  3. Full-Scale Cookoff Model Validation Experiments

    SciTech Connect (OSTI)

    McClelland, M A; Rattanapote, M K; Heimdahl, E R; Erikson, W E; Curran, P O; Atwood, A I

    2003-11-25

    This paper presents the experimental results of the third and final phase of a cookoff model validation effort. In this phase of the work, two generic Heavy Wall Penetrators (HWP) were tested in two heating orientations. Temperature and strain gage data were collected over the entire test period. Predictions for time and temperature of reaction were made prior to release of the live data. Predictions were comparable to the measured values and were highly dependent on the established boundary conditions. Both HWP tests failed at a weld located near the aft closure of the device. More than 90 percent of unreacted explosive was recovered in the end heated experiment and less than 30 percent recovered in the side heated test.

  4. Verification and Validation Strategy for LWRS Tools

    SciTech Connect (OSTI)

    Carl M. Stoots; Richard R. Schultz; Hans D. Gougar; Thomas K Larson; Michael Corradini; Laura Swiler; David Pointer; Jess Gehin

    2012-09-01

    One intension of the Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) program is to create advanced computational tools for safety assessment that enable more accurate representation of a nuclear power plant safety margin. These tools are to be used to study the unique issues posed by lifetime extension and relicensing of the existing operating fleet of nuclear power plants well beyond their first license extension period. The extent to which new computational models / codes such as RELAP-7 can be used for reactor licensing / relicensing activities depends mainly upon the thoroughness with which they have been verified and validated (V&V). This document outlines the LWRS program strategy by which RELAP-7 code V&V planning is to be accomplished. From the perspective of developing and applying thermal-hydraulic and reactivity-specific models to reactor systems, the US Nuclear Regulatory Commission (NRC) Regulatory Guide 1.203 gives key guidance to numeric model developers and those tasked with the validation of numeric models. By creating Regulatory Guide 1.203 the NRC defined a framework for development, assessment, and approval of transient and accident analysis methods. As a result, this methodology is very relevant and is recommended as the path forward for RELAP-7 V&V. However, the unique issues posed by lifetime extension will require considerations in addition to those addressed in Regulatory Guide 1.203. Some of these include prioritization of which plants / designs should be studied first, coupling modern supporting experiments to the stringent needs of new high fidelity models / codes, and scaling of aging effects.

  5. Management of Nuclear Materials

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

    2009-08-17

    To establish requirements for the lifecycle management of DOE owned and/or managed accountable nuclear materials. Cancels DOE O 5660.1B.

  6. Integrated Safety Management Policy

    Broader source: Energy.gov [DOE]

    This Integrated Safety Management (ISM) System Description (ISMSD) defines how the U.S. Department of Energy (DOE) Office of Environmental Management (EM) integrates environment, safety, and health...

  7. Land Management - Hanford Site

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

    Land Management About Us About Hanford Cleanup Hanford History Hanford Site Wide Programs Contact Us Land Management Email Email Page | Print Print Page |Text Increase Font Size...

  8. Contract/Project Management

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

    Third Quarter Overall Contract and Project Management Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2010 Target FY 2010 Forecast FY ...

  9. PRC Contract Management Plan

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

    ... Integrated Performance Evaluation Management System in RIMS, which includes DOE Orders 226.1B and 414.1D. The Contractor Integrated Performance Evaluation Management System ...

  10. Data Management Policy The

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

    Management Policy The guidelines below describe Data Management procedures, processes and resources that need to be understood by both user projects and in-house research. 1....

  11. End Points Management

    Broader source: Energy.gov [DOE]

    The policy of the EM is that a formal project management approach be used for the planning, managing, and conducting of its projects.

  12. Supply Management Specialist

    Broader source: Energy.gov [DOE]

    This position is located in the Logistics Management organization (NSL), Supply Chain Services (NS), Chief Administrative Office (N). NSL manages the warehousing of materials; the investment...

  13. COMPREHENSIVE LEGACY MANAGEMENT

    Office of Legacy Management (LM)

    Fernald Preserve, Fernald, Ohio Comprehensive Legacy Management and Institutional Controls ... blank LMSFERS03496-8.0 Comprehensive Legacy Management and Institutional Controls ...

  14. Contract/Project Management

    Office of Environmental Management (EM)

    Third Quarter Overall Contract and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Performance Metric FY 2012 Target FY 2012 Forecast ...

  15. Contract/Project Management

    Office of Environmental Management (EM)

    Fourth Quarter Overall Contract and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2011 Target FY 2011 ...

  16. Contract/Project Management

    Office of Environmental Management (EM)

    3 First Quarter Overall Contract and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Performance Metric FY 2013 Target FY 2013 Final FY ...

  17. Contract/Project Management

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

    Third Quarter Overall Contract and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2011 Target FY 2011 ...

  18. Contract/Project Management

    Energy Savers [EERE]

    Fourth Quarter Overall Contract and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Performance Metric FY 2012 Target FY 2012 Final FY ...

  19. Contract/Project Management

    Energy Savers [EERE]

    First Quarter Overall Contract and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Performance Metric FY 2012 Target FY 2012 Forecast ...

  20. Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF

    Broader source: Energy.gov [DOE]

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Tom Houston, Greg Mertz, Carl Costantino, Michael Costantino, Andrew Maham Carl J. Costantino & Associates DOE NPH Conference Germantown, Maryland October 25-26 2011

  1. Ross Management | Open Energy Information

    Open Energy Info (EERE)

    Management Jump to: navigation, search Name: Ross Management Place: Goldendale, Washington State Product: Ross Management is the management parent for a group of family owned...

  2. Fleet Management | Department of Energy

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

    Property Fleet Management Fleet Management Fleet management includes commercial and agency owned motor vehicles such as cars, vans, trucks, and buses. Fleet (vehicle) management ...

  3. Operational Management | Department of Energy

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

    Operational Management Operational Management Operational Management Leadership Contact Information Office of Resource Management and Planning U.S. Department of Energy, MA-1.1 ...

  4. Generation IV benchmarking of TRISO fuel performance models under accident conditions. Modeling input data

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01

    This document presents the benchmark plan for the calculation of particle fuel performance on safety testing experiments that are representative of operational accidental transients. The benchmark is dedicated to the modeling of fission product release under accident conditions by fuel performance codes from around the world, and the subsequent comparison to post-irradiation experiment (PIE) data from the modeled heating tests. The accident condition benchmark is divided into three parts: the modeling of a simplified benchmark problem to assess potential numerical calculation issues at low fission product release; the modeling of the AGR-1 and HFR-EU1bis safety testing experiments; and, the comparison of the AGR-1 and HFR-EU1bis modeling results with PIE data. The simplified benchmark case, thereafter named NCC (Numerical Calculation Case), is derived from ''Case 5'' of the International Atomic Energy Agency (IAEA) Coordinated Research Program (CRP) on coated particle fuel technology [IAEA 2012]. It is included so participants can evaluate their codes at low fission product release. ''Case 5'' of the IAEA CRP-6 showed large code-to-code discrepancies in the release of fission products, which were attributed to ''effects of the numerical calculation method rather than the physical model''[IAEA 2012]. The NCC is therefore intended to check if these numerical effects subsist. The first two steps imply the involvement of the benchmark participants with a modeling effort following the guidelines and recommendations provided by this document. The third step involves the collection of the modeling results by Idaho National Laboratory (INL) and the comparison of these results with the available PIE data. The objective of this document is to provide all necessary input data to model the benchmark cases, and to give some methodology guidelines and recommendations in order to make all results suitable for comparison with each other. The participants should read this document thoroughly to make sure all the data needed for their calculations is provided in the document. Missing data will be added to a revision of the document if necessary.

  5. Efficient Screening of Climate Model Sensitivity to a Large Number of Perturbed Input Parameters [plus supporting information

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

    Covey, Curt; Lucas, Donald D.; Tannahill, John; Garaizar, Xabier; Klein, Richard

    2013-07-01

    Modern climate models contain numerous input parameters, each with a range of possible values. Since the volume of parameter space increases exponentially with the number of parameters N, it is generally impossible to directly evaluate a model throughout this space even if just 2-3 values are chosen for each parameter. Sensitivity screening algorithms, however, can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination.This can aid both model development and the uncertainty quantification (UQ) process. Here we report results from a parameter sensitivity screening algorithm hitherto untested in climate modeling,more » the Morris one-at-a-time (MOAT) method. This algorithm drastically reduces the computational cost of estimating sensitivities in a high dimensional parameter space because the sample size grows linearly rather than exponentially with N. It nevertheless samples over much of the N-dimensional volume and allows assessment of parameter interactions, unlike traditional elementary one-at-a-time (EOAT) parameter variation. We applied both EOAT and MOAT to the Community Atmosphere Model (CAM), assessing CAM’s behavior as a function of 27 uncertain input parameters related to the boundary layer, clouds, and other subgrid scale processes. For radiation balance at the top of the atmosphere, EOAT and MOAT rank most input parameters similarly, but MOAT identifies a sensitivity that EOAT underplays for two convection parameters that operate nonlinearly in the model. MOAT’s ranking of input parameters is robust to modest algorithmic variations, and it is qualitatively consistent with model development experience. Supporting information is also provided at the end of the full text of the article.« less

  6. Development of a Low Input and sustainable Switchgrass Feedstock Production System Utilizing Beneficial Bacterial Endophytes

    SciTech Connect (OSTI)

    Mei, Chuansheng; Nowak, Jerzy; Seiler, John

    2014-10-24

    Switchgrass represents a promising feedstock crop for US energy sustainability. However, its broad utilization for bioenergy requires improvements of biomass yields and stress tolerance. In this DOE funded project, we have been working on harnessing beneficial bacterial endophytes to enhance switchgrass performance and to develop a low input feedstock production system for marginal lands that do not compete with the production of food crops. We have demonstrated that one of most promising plant growth-promoting bacterial endophytes, Burkholderia phytofirmans strain PsJN, is able to colonize roots and significantly promote growth of switchgrass cv. Alamo under in vitro, growth chamber, greenhouse, as well as field conditions. Furthermore, PsJN bacterization improved growth and development of switchgrass seedlings, significantly stimulated plant root and shoot growth, and tiller number in the field, and enhanced biomass accumulation on both poor (p<0.001) and rich (p<0.05) soils, with more effective stimulation of plant growth in low fertility soil. Plant physiology measurements showed that PsJN inoculated Alamo had consistently lower transpiration, lower stomatal conductance, and higher water use efficiency in greenhouse conditions. These physiological changes may significantly contribute to the recorded growth enhancement. PsJN inoculation rapidly results in an increase in photosynthetic rates which contributes to the advanced growth and development. Some evidence suggests that this initial growth advantage decreases with time when resources are not limited such as in greenhouse studies. Additionally, better drought resistance and drought hardening were observed in PsJN inoculated switchgrass. Using the DOE-funded switchgrass EST microarray, in a collaboration with the Genomics Core Facility at the Noble Foundation, we have determined gene expression profile changes in both responsive switchgrass cv. Alamo and non-responsive cv. Cave-in-Rock (CR) following PsJN bacterization. With the MapMan software to analyze microarray data, the number of up- and down-regulated probes was calculated. The number of up-regulated probes in Alamo was 26, 14, 14, and 12% at 0.5, 2, 4 and 8 days after inoculation (DAI) with PsJN, respectively while the corresponding number in CR was 24, 22, 21, and 19%, respectively. In both cultivars, the largest number of up-regulated probes occurred at 0.5 DAI. Noticeable differences throughout the timeframe between Alamo and CR were that the number was dramatically decreased to half (12%) in Alamo but remained high in CR (approximately 20%). The number of down regulated genes demonstrated different trends in Alamo and CR. Alamo had an increasing trend from 9% at 0.5 DAI to 11, 17, and 28% at 2, 4, and 8 DAI, respectively. However, CR had 13% at 0.5 and 2 DAI, and declined to 10% at 4 and 8 DAI. With the aid of MapMan and PageMan, we mapped the response of the ID probes to the observed major gene regulatory network and major biosynthetic pathway changes associated with the beneficial bacterial endophyte infection, colonization, and early growth promotion process. We found significant differences in gene expression patterns between responsive and non-responsive cultivars in many pathways, including redox state regulation, signaling, proteolysis, transcription factors, as well as hormone (SA and JA in particular)-associated pathways. Form microarray data, a total of 50 key genes have been verified using qPCR. Ten of these genes were chosen for further functional study via either overexpression and/or RNAi knockout technologies. These genes were calmodulin-related calcium sensor protein (CAM), glutathione S-transferase (GST), histidine-containing phosphotransfer protein (H-221), 3 different zinc finger proteins (ZF-371, ZF131 and ZF242), EF hand transcription factor (EF-622), peroxidase, cellulose synthase catalytic submit A2 (CESA2), and Aux/IAA family. A total of 8 overexpression and 5 RNAi transgenic plants have been regenerated, and their gene expression levels determined using qPCR. Consequently high, medium and low expression lines were propagated in vitro for gene function study. When adequate numbers of individual transgenic lines were obtained, they were challenged with PsJN to see if PsJN promotes or inhibits growth of transgenic plants. Our results demonstrated that EF-622 overexpression, ZF-371, GST, H-221 and CAM RNAi transgenic lines lost responses to PsJN, i.e. PsJN had no growth promotive effects on these transgenic plants. Further study needs to be done to characterize this loss of responsiveness to PsJN. During this funding period, we have done more work related to this funded project and established collaborations with other institutions and obtained some interesting results, building a foundation for further research projects. For example, we isolated a naturally-occurring bacterium from surface-sterilized switchgrass seeds, identified as a unique Panteoa agglomerans species, and named strain PaKM. PaKM has been proved to be an efficient growth promoter of switchgrass over a broad spectrum of genotypes and has potential in applications with low input and sustainable production systems on marginal lands. In collaboration with Dr. Shuijin Hu (North Carolina State University), we conducted experiments on how endophyte-inoculated switchgrass affects soil N and P availability and the number of AMF in roots. Our preliminary results showed that PsJN increased AMF infection of switchgrass roots, and enhanced soil N availability and soil N mineralization on a low nutrient field. Further study of this phenomenon on different soils, over longer time periods, is needed to assess its potential impact on the productivity and longevity of switchgrass stands.

  7. National Ignition Facility Configuration Management Plan

    SciTech Connect (OSTI)

    Cabral, S G; Moore, T L

    2002-10-01

    This Configuration Management Plan (CMP) describes the technical and administrative management process for controlling the National Ignition Facility (NIF) Project configuration. The complexity of the NIF Project (i.e., participation by multiple national laboratories and subcontractors involved in the development, fabrication, installation, and testing of NIF hardware and software, as well as construction and testing of Project facilities) requires implementation of the comprehensive configuration management program defined in this plan. A logical schematic illustrating how the plan functions is provided in Figure 1. A summary of the process is provided in Section 4.0, Configuration Change Control. Detailed procedures that make up the overall process are referenced. This CMP is consistent with guidance for managing a project's configuration provided in Department of Energy (DOE) Order 430.1, Guide PMG 10, ''Project Execution and Engineering Management Planning''. Configuration management is a formal discipline comprised of the following four elements: (1) Identification--defines the functional and physical characteristics of a Project and uniquely identifies the defining requirements. This includes selection of components of the end product(s) subject to control and selection of the documents that define the project and components. (2) Change management--provides a systematic method for managing changes to the project and its physical and functional configuration to ensure that all changes are properly identified, assessed, reviewed, approved, implemented, tested, and documented. (3) Data management--ensures that necessary information on the project and its end product(s) is systematically recorded and disseminated for decision-making and other uses. Identifies, stores and controls, tracks status, retrieves, and distributes documents. (4) Assessments and validation--ensures that the planned configuration requirements match actual physical configurations and approved changes are implemented according to the change requirements documents.

  8. Comparing urban solid waste recycling from the viewpoint of urban metabolism based on physical input-output model: A case of Suzhou in China

    SciTech Connect (OSTI)

    Liang Sai; Zhang Tianzhu

    2012-01-15

    Highlights: Black-Right-Pointing-Pointer Impacts of solid waste recycling on Suzhou's urban metabolism in 2015 are analyzed. Black-Right-Pointing-Pointer Sludge recycling for biogas is regarded as an accepted method. Black-Right-Pointing-Pointer Technical levels of reusing scrap tires and food wastes should be improved. Black-Right-Pointing-Pointer Other fly ash utilization methods should be exploited. Black-Right-Pointing-Pointer Secondary wastes from reusing food wastes and sludge should be concerned. - Abstract: Investigating impacts of urban solid waste recycling on urban metabolism contributes to sustainable urban solid waste management and urban sustainability. Using a physical input-output model and scenario analysis, urban metabolism of Suzhou in 2015 is predicted and impacts of four categories of solid waste recycling on urban metabolism are illustrated: scrap tire recycling, food waste recycling, fly ash recycling and sludge recycling. Sludge recycling has positive effects on reducing all material flows. Thus, sludge recycling for biogas is regarded as an accepted method. Moreover, technical levels of scrap tire recycling and food waste recycling should be improved to produce positive effects on reducing more material flows. Fly ash recycling for cement production has negative effects on reducing all material flows except solid wastes. Thus, other fly ash utilization methods should be exploited. In addition, the utilization and treatment of secondary wastes from food waste recycling and sludge recycling should be concerned.

  9. Software configuration management plan for the Hanford site technical database

    SciTech Connect (OSTI)

    GRAVES, N.J.

    1999-05-10

    The Hanford Site Technical Database (HSTD) is used as the repository/source for the technical requirements baseline and programmatic data input via the Hanford Site and major Hanford Project Systems Engineering (SE) activities. The Hanford Site SE effort has created an integrated technical baseline for the Hanford Site that supports SE processes at the Site and project levels which is captured in the HSTD. The HSTD has been implemented in Ascent Logic Corporation (ALC) Commercial Off-The-Shelf (COTS) package referred to as the Requirements Driven Design (RDD) software. This Software Configuration Management Plan (SCMP) provides a process and means to control and manage software upgrades to the HSTD system.

  10. Chemical Management Contacts

    Broader source: Energy.gov [DOE]

    Contacts for additional information on Chemical Management and brief description on Energy Facility Contractors Group

  11. Environmental Management System

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

    Management System Environmental Management System An Environmental Management System is a systematic method for assessing mission activities, determining the environmental impacts of those activities, prioritizing improvements, and measuring results. May 30, 2012 The continuous improvement cycle Our Environmental Management System encourages continuous improvement of our environmental performance. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM

  12. Integrated Waste Treatment Unit (IWTU) Input Coal Analyses and Off-Gass Filter (OGF) Content Analyses

    SciTech Connect (OSTI)

    Jantzen, Carol M.; Missimer, David M.; Guenther, Chris P.; Shekhawat, Dushyant; VanEssendelft, Dirk T.; Means, Nicholas C.

    2015-04-23

    A full engineering scale Fluidized Bed Steam Reformer (FBSR) system is being used at the Idaho Nuclear Technology and Engineering Center (INTEC) to stabilize acidic Low Activity Waste (LAW) known as Sodium Bearing Waste (SBW). The INTEC facility, known as the Integrated Waste Treatment Unit (IWTU), underwent an Operational Readiness Review (ORR) and a Technology Readiness Assessment (TRA) in March 2014. The IWTU began non-radioactive simulant processing in late 2014 and by January, 2015 ; the IWTU had processed 62,000 gallons of simulant. The facility is currently in a planned outage for inspection of the equipment and will resume processing simulated waste feed before commencing to process 900,000 gallons of radioactive SBW. The SBW acidic waste will be made into a granular FBSR product (carbonate based) for disposal in the Waste Isolation Pilot Plant (WIPP). In the FBSR process calcined coal is used to create a CO2 fugacity to force the waste species to convert to carbonate species. The quality of the coal, which is a feed input, is important because the reactivity, moisture, and volatiles (C,H,N,O, and S) in the coal impact the reactions and control of the mineralizing process in the primary steam reforming vessel, the Denitration and Mineralizing Reformer (DMR). Too much moisture in the coal can require that additional coal be used. However since moisture in the coal is only a small fraction of the moisture from the fluidizing steam this can be self-correcting. If the coal reactivity or heating value is too low then the coal feedrate needs to be adjusted to achieve the desired heat generation. Too little coal and autothermal heat generation in the DMR cannot be sustained and/or the carbon dioxide fugacity will be too low to create the desired carbonate mineral species. Too much coal and excess S and hydroxide species can form. Excess sulfur from coal that (1) is too rich in sulfur or (2) from overfeeding coal can promote wall scale and contribute to corrosion in process piping and materials, in excessive off-gas absorbent loading, and in undesired process emissions. The ash content of the coal is important as the ash adds to the DMR and other vessel products which affect the final waste product mass and composition. The amount and composition of the ash also affects the reaction kinetics. Thus ash content and composition contributes to the mass balance. In addition, sodium, potassium, calcium, sulfur, and maybe silica and alumina in the ash may contribute to wall-scale formation. Sodium, potassium, and alumina in the ash will be overwhelmed by the sodium, potassium, and alumina from the feed but the impact from the other ash components needs to be quantified. A maximum coal particle size is specified so the feed system does not plug and a minimum particle size is specified to prevent excess elutriation from the DMR to the Process Gas Filter (PGF). A vendor specification was used to procure the calcined coal for IWTU processing. While the vendor supplied a composite analysis for the 22 tons of coal (Appendix A), this study compares independent analyses of the coal performed at the Savannah River National Laboratory (SRNL) and at the National Energy Technology Laboratory (NETL). Three supersacks a were sampled at three different heights within the sack in order to determine within bag variability and between bag variability of the coal. These analyses were also compared to the vendor’s composite analyses and to the coal specification. These analyses were also compared to historic data on Bestac coal analyses that had been performed at Hazen Research Inc. (HRI) between 2004-2011.

  13. Report on a workshop concerning code validation

    SciTech Connect (OSTI)

    None

    1996-12-01

    The design of wind turbine components is becoming more critical as turbines become lighter and more dynamically active. Computer codes that will reliably predict turbine dynamic response are, therefore, more necessary than before. However, predicting the dynamic response of very slender rotating structures that operate in turbulent winds is not a simple matter. Even so, codes for this purpose have been developed and tested in North America and in Europe, and it is important to disseminate information on this subject. The purpose of this workshop was to allow those involved in the wind energy industry in the US to assess the progress invalidation of the codes most commonly used for structural/aero-elastic wind turbine simulation. The theme of the workshop was, ``How do we know it`s right``? This was the question that participants were encouraged to ask themselves throughout the meeting in order to avoid the temptation of presenting information in a less-than-critical atmosphere. Other questions posed at the meeting are: What is the proof that the codes used can truthfully represent the field data? At what steps were the codes tested against known solutions, or against reliable field data? How should the designer or user validate results? What computer resources are needed? How do codes being used in Europe compare with those used in the US? How does the code used affect industry certification? What can be expected in the future?

  14. Validation of Innovation Exploration Technologies for Newberry Volcano |

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

    Department of Energy Validation of Innovation Exploration Technologies for Newberry Volcano Validation of Innovation Exploration Technologies for Newberry Volcano Validation of Innovation Exploration Technologies for Newberry Volcano presentation at the April 2013 peer review meeting held in Denver, Colorado. PDF icon newberry_peer2013.pdf More Documents & Publications Newberry EGS Demonstration Newberry Volcano EGS Demonstration Novel use of 4D Monitoring Techniques to Improve Reservoir

  15. Fact Sheet: Energy Storage Testing and Validation (October 2012) |

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

    Department of Energy Testing and Validation (October 2012) Fact Sheet: Energy Storage Testing and Validation (October 2012) At Sandia National Laboratories, the Energy Storage Analysis Laboratory, in conjunction with the Energy Storage Test Pad, provides independent testing and validation of electrical energy storage systems at the individual cell level up to megawatt-scale systems. For more information about how OE performs research and development on a wide variety of storage technologies,

  16. Recovery Act. Development and Validation of an Advanced Stimulation

    Office of Scientific and Technical Information (OSTI)

    Prediction Model for Enhanced Geothermal Systems (Technical Report) | SciTech Connect Recovery Act. Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems Citation Details In-Document Search Title: Recovery Act. Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems This research project aims to develop and validate an advanced computer model that can be used in the planning and design of

  17. Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation

    Energy Savers [EERE]

    Project | Department of Energy Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon tv_03_veenstra.pdf More Documents & Publications Technology Validation Controlled Hydrogen Fleet & Infrastructure Analysis HYDROGEN TO THE

  18. ARM Intensive Operational Period Scheduled to Validate New NASA Satellite

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

    2 ARM Intensive Operational Period Scheduled to Validate New NASA Satellite Beginning in July, all three ARM sites (Southern Great Plains [SGP], North Slope of Alaska, and Tropical Western Pacific; Figure 1) will participate in the AIRS Validation IOP. This three-month intensive operational period (IOP) will validate data collected by the satellite-based Atmospheric Infrared Sounder (AIRS) recently launched into space. On May 4, the National Aeronautics and Space Administration (NASA) launched

  19. Manager`s views of public involvement

    SciTech Connect (OSTI)

    Branch, K.M.; Heerwagen, J.; Bradbury, J.

    1995-12-01

    Four issues commonly form the framework for debates about the acceptability of proposed projects or technologies--the substantive decision or technological choice; the treatment of the community by the proponent organization; the way the decision-making process has been structured and managed; and the status of institutional safeguards and protection. One of the clear messages of cultural theory is that differences in perspectives are a normal and inevitable part of society, and that attempts to resolve differences by persuasion are not likely to work. These findings are useful when considering the goals and possibilities of public involvement as a decision-making tool, and when designing or evaluating public involvement training programs for managers. The research reported here examines the viewpoints and concerns of managers and decision-makers about the four issues identified above, with particular emphasis on their perspectives and concerns about opening decision-making processes to the public and about managers` roles and responsibilities for structuring and managing open decision-making processes. Implications of these findings for public involvement training for managers is also discussed. The data presented in this paper were obtained from face-to-face interviews with managers and decision-makers with experience managing a variety of hazardous waste management decision-making processes. We conducted these interviews in the course of four separate research projects: needs assessments to support the design and development of a public involvement training program for managers; a study of community residents` and managers` perspectives on the chemical stockpile disposal program; an evaluation of the effectiveness of public involvement training for managers in the Department of Energy; and a study to develop indicators of the benefits and costs of public involvement.

  20. 2014 DOE Project Management Workshop

    Broader source: Energy.gov [DOE]

    What:  2014 DOE Project Management Workshop (Meeting the Challenge—Integrated Acquisition & Project Management)

  1. TEST PROCEDURE VALIDATION TEST OF A DISCRIMINATING TRITIUM MONITOR...

    Office of Environmental Management (EM)

    Test Results For Physical Separation Of Tritium From Noble Gases And It's Implications For ... AIR SAMPLERS NEW FAMILY OF STACK MONITORS TEST PROCEDURE VALIDATION TEST OF A ...

  2. Validation of the SASSI2010 Subtraction Method Using Full Scale...

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

    the SASSI2010 Subtraction Method Using Full Scale Independent Verification Lisa Anderson Farhang Ostadan Bechtel National, Inc. USDOE NPH Workshop October 2014 Validation of the...

  3. Recovery Act. Development and Validation of an Advanced Stimulation...

    Office of Scientific and Technical Information (OSTI)

    hydro-thermal fracturing simulator that is particularly suited for EGS ... results to test and validate the 3D simulator. 3) Perform discrete elementparticulate ...

  4. Transmission Services Product Pricing Validation October 1, 2014

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

    Teams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: Transmission Services Product Pricing Validation Posted Date:...

  5. On the validation of seismic imaging methods: Finite frequency...

    Office of Scientific and Technical Information (OSTI)

    Title: On the validation of seismic imaging methods: Finite frequency or ray theory? We ... approach for state of the art seismic models developed for western North America. ...

  6. Development and Validation of a Reduced Mechanism for Biodiesel...

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

    a Reduced Mechanism for Biodiesel Surrogates for Compression Ignition Engine Applications Development and Validation of a Reduced Mechanism for Biodiesel Surrogates for ...

  7. Measures of agreement between computation and experiment:validation...

    Office of Scientific and Technical Information (OSTI)

    ... BENCH-SCALE EXPERIMENTS Uncertainty-Mathematical models.; Validation-Simulation.; Experimental design. Word Cloud More Like This Full Text preview image File size NAView ...

  8. Validation of two ribosomal RNA removal methods for microbial...

    Office of Scientific and Technical Information (OSTI)

    Title: Validation of two ribosomal RNA removal methods for microbial metatranscriptomics ... Several approaches have been applied to deplete rRNAs from (meta)transcriptomes, but no ...

  9. LLNL Final Design for PDV Measurements of Godiva for Validation...

    Office of Scientific and Technical Information (OSTI)

    of Multi-Physics Simulation Citation Details In-Document Search Title: LLNL Final Design for PDV Measurements of Godiva for Validation of Multi-Physics Simulation ...

  10. Fact Sheet: Energy Storage Testing and Validation (October 2012...

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

    cell level to megawatt-scale electrical energy storage systems Testing and validating the ... Energy Storage Analysis Laboratory-Cell, Battery and Module Testing * 14 channels from ...

  11. Vehicle Technologies Office Merit Review 2015: Validation of...

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

    PDF icon lm084berger2015o.pdf More Documents & Publications Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon Fiber Composite ...

  12. Validating Cyber Security Requirements: A Case Study

    SciTech Connect (OSTI)

    Abercrombie, Robert K; Sheldon, Frederick T; Mili, Ali

    2011-01-01

    Vulnerabilities in a system may have widely varying impacts on system security. In practice, security should not be defined as the absence of vulnerabilities. In practice, security should not be quantified by the number of vulnerabilities. Security should be managed by pursuing a policy that leads us first to the highest impact vulnerabilities. In light of these observations, we argue in favor of shifting our focus from vulnerability avoidance/removal to measurable security attributes. To this effect, we recommend a logic be used for system security, which captures/represents security properties in quantifiable, verifiable, measurable terms so that it is possible to reason about security in terms of its observable/perceptible effects rather than its hypothesized causes. This approach is orthogonal to existing techniques for vulnerability avoidance, removal, detection, and recovery, in the sense that it provides a means to assess, quantify, and combine these techniques.

  13. Update to industrial drivers in the AEO2015 as a result of new input-output data

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

    Update to industrial drivers in the AEO2015 as a result of new input-output data Elizabeth Sendich May 4, 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES April 2015 Elizabeth Sendich | U.S. Energy

  14. The effect of output-input isolation on the scaling and energy consumption of all-spin logic devices

    SciTech Connect (OSTI)

    Hu, Jiaxi; Haratipour, Nazila; Koester, Steven J.

    2015-05-07

    All-spin logic (ASL) is a novel approach for digital logic applications wherein spin is used as the state variable instead of charge. One of the challenges in realizing a practical ASL system is the need to ensure non-reciprocity, meaning the information flows from input to output, not vice versa. One approach described previously, is to introduce an asymmetric ground contact, and while this approach was shown to be effective, it remains unclear as to the optimal approach for achieving non-reciprocity in ASL. In this study, we quantitatively analyze techniques to achieve non-reciprocity in ASL devices, and we specifically compare the effect of using asymmetric ground position and dipole-coupled output/input isolation. For this analysis, we simulate the switching dynamics of multiple-stage logic devices with FePt and FePd perpendicular magnetic anisotropy materials using a combination of a matrix-based spin circuit model coupled to the Landau–Lifshitz–Gilbert equation. The dipole field is included in this model and can act as both a desirable means of coupling magnets and a source of noise. The dynamic energy consumption has been calculated for these schemes, as a function of input/output magnet separation, and the results show that using a scheme that electrically isolates logic stages produces superior non-reciprocity, thus allowing both improved scaling and reduced energy consumption.

  15. Advanced Simulation Capability for Environmental Management (ASCEM) Phase II Demonstration

    SciTech Connect (OSTI)

    Freshley, M.; Hubbard, S.; Flach, G.; Freedman, V.; Agarwal, D.; Andre, B.; Bott, Y.; Chen, X.; Davis, J.; Faybishenko, B.; Gorton, I.; Murray, C.; Moulton, D.; Meyer, J.; Rockhold, M.; Shoshani, A.; Steefel, C.; Wainwright, H.; Waichler, S.

    2012-09-28

    In 2009, the National Academies of Science (NAS) reviewed and validated the U.S. Department of Energy Office of Environmental Management (EM) Technology Program in its publication, Advice on the Department of Energys Cleanup Technology Roadmap: Gaps and Bridges. The NAS report outlined prioritization needs for the Groundwater and Soil Remediation Roadmap, concluded that contaminant behavior in the subsurface is poorly understood, and recommended further research in this area as a high priority. To address this NAS concern, the EM Office of Site Restoration began supporting the development of the Advanced Simulation Capability for Environmental Management (ASCEM). ASCEM is a state-of-the-art scientific approach that uses an integration of toolsets for understanding and predicting contaminant fate and transport in natural and engineered systems. The ASCEM modeling toolset is modular and open source. It is divided into three thrust areas: Multi-Process High Performance Computing (HPC), Platform and Integrated Toolsets, and Site Applications. The ASCEM toolsets will facilitate integrated approaches to modeling and site characterization that enable robust and standardized assessments of performance and risk for EM cleanup and closure activities. During fiscal year 2012, the ASCEM project continued to make significant progress in capabilities development. Capability development occurred in both the Platform and Integrated Toolsets and Multi-Process HPC Simulator areas. The new Platform and Integrated Toolsets capabilities provide the user an interface and the tools necessary for end-to-end model development that includes conceptual model definition, data management for model input, model calibration and uncertainty analysis, and model output processing including visualization. The new HPC Simulator capabilities target increased functionality of process model representations, toolsets for interaction with the Platform, and model confidence testing and verification for quality assurance. The Platform and HPC capabilities are being tested and evaluated for EM applications through a suite of demonstrations being conducted by the Site Applications Thrust. In 2010, the Phase I Demonstration focused on testing initial ASCEM capabilities. The Phase II Demonstration, completed in September 2012, focused on showcasing integrated ASCEM capabilities. For Phase II, the Hanford Site Deep Vadose Zone (BC Cribs) served as an application site for an end-to-end demonstration of ASCEM capabilities on a site with relatively sparse data, with emphasis on integration and linkages between the Platform and HPC components. Other demonstrations included in this Phase II report included addressing attenuation-based remedies at the Savannah River Site F-Area, to exercise linked ASCEM components under data-dense and complex geochemical conditions, and conducting detailed simulations of a representative waste tank. This report includes descriptive examples developed by the Hanford Site Deep Vadose Zone, the SRS F-Area Attenuation-Based Remedies for the Subsurface, and the Waste Tank Performance Assessment working groups. The integrated Phase II Demonstration provides test cases to accompany distribution of the initial user release (Version 1.0) of the ASCEM software tools to a limited set of users in 2013. These test cases will be expanded with each new release, leading up to the release of a version that is qualified for regulatory applications in the 2015 time frame.

  16. Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation

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

    Project Solicitation | Department of Energy Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project Solicitation Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project Solicitation The Fuel Cell Technologies Office of the Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy is soliciting financial assistance Applications with the objective of supporting industry efforts and the President's Hydrogen Fuel Initiative in

  17. The Science Manager's Guide to Case Studies

    SciTech Connect (OSTI)

    Branch, Kristi M.; Peffers, Melissa S.; Ruegg, Rosalie T.; Vallario, Robert W.

    2001-09-24

    This guide takes the science manager through the steps of planning, implementing, validating, communicating, and using case studies. It outlines the major methods of analysis, describing their relative merits and applicability while providing relevant examples and sources of additional information. Well-designed case studies can provide a combination of rich qualitative and quantitative information, offering valuable insights into the nature, outputs, and longer-term impacts of the research. An objective, systematic, and credible approach to the evaluation of U.S. Department of Energy Office of Science programs adds value to the research process and is the subject of this guide.

  18. Risk Management Guide

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

    2011-01-12

    The purpose of this guide is to describe effective risk management processes. The continuous and iterative process includes updating project risk documents and the risk management plan and emphasizes implementation communication of the risks and actions taken.

  19. Contract/Project Management

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

    Management Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2011 Target FY 2011 Actual & Forecast FY 2011 Pre- & Post-CAP Comment 1a. ...

  20. Risk Management Guide

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

    2011-01-18

    This Guide provides non-mandatory risk management approaches for implementing the requirements of DOE O 413.3B, Program and Project Management for the Acquisition of Capital Assets. Supersedes DOE G 413.3-7.