National Library of Energy BETA

Sample records for determination synchrophasor based

  1. Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint

    SciTech Connect (OSTI)

    Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.

    2013-05-01

    The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.

  2. Western Interconnection Synchrophasor Project

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

    Demonstration Project Western Interconnection Synchrophasor Project Resources & Links Demand Response Energy Efficiency Emerging Technologies Synchrophasor measurements are a...

  3. S Synchrophasor

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

    ieee power & energy magazine september/october 2015 U.S. Government work not protected by U.S Copyright. S Synchrophasor Technology and the DOE Digital Object Identifier 10.1109/MPE.2015.2431211 Date of publication: 18 August 2015 By Phil Overholt, David Ortiz, and Alison Silverstein synchrophasor technology has grown from a handful of phasor measurement units (pMUs) in the U.s. pacific northwest to a continental network of almost 2,000 pMUs in the past decade, which has helped to improve

  4. North American Synchrophasor Initiative (NASPI) Program Information...

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

    Synchrophasor Initiative (NASPI) Program Information North American Synchrophasor Initiative (NASPI) Program Information Summary of the Transmission Reliability program's North ...

  5. Synchrophasor Engineering Education Program Project Summaries...

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

    Synchrophasor Engineering Education Program Project Summaries Available Synchrophasor Engineering Education Program Project Summaries Available July 9, 2014 - 10:48am Addthis On...

  6. NASPI Synchrophasor Technical Report Model Validation using Synchrophasors

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

    North American SynchroPhasor Initiative Technical Report Model Validation Technical Workshop October 22, 2013 Technical Summary Context This technical material was developed in October, 2013 by members of the North American SynchroPhasor Initiative, a collaboration between the North American electric industry (utilities, grid operators, vendors and consultants), the North American Electric Reliability Corporation, academics, and the U.S. Department of Energy, to advance and accelerate the

  7. Demonstration of a Novel Synchrophasor-based Situational Awareness System: Wide Area Power System Visualization, On-line Event Replay and Early Warning of Grid Problems

    SciTech Connect (OSTI)

    Rosso, A.

    2012-12-31

    Since the large North Eastern power system blackout on August 14, 2003, U.S. electric utilities have spent lot of effort on preventing power system cascading outages. Two of the main causes of the August 14, 2003 blackout were inadequate situational awareness and inadequate operator training In addition to the enhancements of the infrastructure of the interconnected power systems, more research and development of advanced power system applications are required for improving the wide-area security monitoring, operation and planning in order to prevent large- scale cascading outages of interconnected power systems. It is critically important for improving the wide-area situation awareness of the operators or operational engineers and regional reliability coordinators of large interconnected systems. With the installation of large number of phasor measurement units (PMU) and the related communication infrastructure, it will be possible to improve the operators’ situation awareness and to quickly identify the sequence of events during a large system disturbance for the post-event analysis using the real-time or historical synchrophasor data. The purpose of this project was to develop and demonstrate a novel synchrophasor-based comprehensive situational awareness system for control centers of power transmission systems. The developed system named WASA (Wide Area Situation Awareness) is intended to improve situational awareness at control centers of the power system operators and regional reliability coordinators. It consists of following main software modules: • Wide-area visualizations of real-time frequency, voltage, and phase angle measurements and their contour displays for security monitoring. • Online detection and location of a major event (location, time, size, and type, such as generator or line outage). • Near-real-time event replay (in seconds) after a major event occurs. • Early warning of potential wide-area stability problems. The system has been

  8. North American SynchroPhasor Initiative (NASPI) Technical Report...

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

    North American SynchroPhasor Initiative (NASPI) Technical Report - Synchrophasor Technology and Renewables Integration This technical report was developed in June 2012 by the North ...

  9. Academic-Industry Collaboration (AIC) - Synchrophasor Engineering...

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

    through Academic-Industry Collaborations - D. Duan (30.19 KB) Project Summary: VT - Data Mining and Playback of Hybrid Synchrophasor Data for Research and Education - V. Centeno ...

  10. North American SynchroPhasor Initiative (NASPI) Technical Report - Model

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

    Validation Using Synchrophasors | Department of Energy Model Validation Using Synchrophasors North American SynchroPhasor Initiative (NASPI) Technical Report - Model Validation Using Synchrophasors This technical report was developed in October, 2013 by members of the North American SynchroPhasor Initiative, a collaboration between the North American electric industry (utilities, grid operators, vendors and consultants), the North American Electric Reliability Corporation, academics, and the

  11. Academic-Industry Collaboration (AIC) - Synchrophasor Engineering Education

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

    Program: Information Exchange Webinar (March 6, 2014) | Department of Energy Academic-Industry Collaboration (AIC) - Synchrophasor Engineering Education Program: Information Exchange Webinar (March 6, 2014) Academic-Industry Collaboration (AIC) - Synchrophasor Engineering Education Program: Information Exchange Webinar (March 6, 2014) On March 6, 2014, the Academic-Industry Collaboration (AIC) - Synchrophasor Engineering Education Program hosted an information exchange webinar that included

  12. North American SynchroPhasor Initiative (NASPI) Technical Report- Synchrophasor Technology and Renewables Integration

    Broader source: Energy.gov [DOE]

    This technical report was developed in June 2012 by the North American SynchroPhasor Initiative, a collaboration between the North American electric industry (utilities, grid operators, vendors and consultants), the North American Electric Reliability Corporation, academics, and the U.S. Department of Energy, to advance and accelerate the development and use of synchrophasor technology for grid reliability and efficiency. The material was produced for a renewables integration workshop, one of a series of NASPI technical workshops intended to educate and document the stakeholder community on the state of the art for key synchrophasor technology issues.

  13. Synchrophasor Applications for Wind Power Generation

    SciTech Connect (OSTI)

    Muljadi, E.; Zhang, Y. C.; Allen, A.; Singh, M.; Gevorgian, V.; Wan, Y. H.

    2014-02-01

    The U.S. power industry is undertaking several initiatives that will improve the operations of the electric power grid. One of those is the implementation of wide-area measurements using phasor measurement units to dynamically monitor the operations and status of the network and provide advanced situational awareness and stability assessment. The overviews of synchrophasors and stability analyses in this report are intended to present the potential future applications of synchrophasors for power system operations under high penetrations of wind and other renewable energy sources.

  14. Synchrophasor Engineering Education Program Project Summaries Available

    Broader source: Energy.gov [DOE]

    On March 6, 2014, the Academic-Industry Collaboration (AIC) - Synchrophasor Engineering Education Program hosted an information exchange webinar that included presentation from each of seven projects that received awards totalling approximately $1.4 million to help colleges and universities better prepare the electricity industry workforce of the future. The agenda and project summaries from the information exchange are available to download.

  15. Title: Collaborative Industry - Academic Synchrophasor Engineering Program

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

    Title: Collaborative Industry - Academic Synchrophasor Engineering Program Principal Investigator: Stephen B. Bayne University: Texas Tech University Contact Information: Phone number 806 742 0526, Email Stephen.bayne@ttu.edu Project description Texas Tech University (TTU) in collaboration with the Center for the Commercialization of Electric Technologies (CCET), Group NIRE (National Institute for Renewable Energy), South Plains Electric Cooperative (SPEC), and National Instruments (NI) has

  16. Report on Synchrophasor Technologies and Their Deployment in Recovery Act

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

    Projects Now Available | Department of Energy Report on Synchrophasor Technologies and Their Deployment in Recovery Act Projects Now Available Report on Synchrophasor Technologies and Their Deployment in Recovery Act Projects Now Available August 15, 2013 - 10:48am Addthis The Office of Electricity Delivery and Energy Reliability has released a new report that explains synchrophasor technologies and how they can be used to improve the efficiency, reliability, and resiliency of grid

  17. Synchrophasor Technologies and their Deployment in the Recovery...

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

    Synchrophasor Technologies and their Deployment in the Recovery Act Smart Grid Programs (August 2013) The American Recovery and Reinvestment Act of 2009 provided 4.5 billion for ...

  18. Report on Synchrophasor Technologies and Their Deployment in...

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

    Reliability has released a new report that explains synchrophasor technologies and how they can be used to improve the efficiency, reliability, and resiliency of grid operations. ...

  19. and Control of Power Systems Using Distributed Synchrophasors

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

    ... be offered through the Electrical & Computer Engineering ... program focused on distribution systems, substation ... of Synchrophasors in transmission-level power systems, and ...

  20. North American SynchroPhasor Initiative (NASPI) Technical Report...

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

    Phasor Tools Visualization North American SynchroPhasor Initiative (NASPI) Technical Report - Phasor Tools Visualization This technical report was developed by the North American ...

  1. Impact of Measurement Error on Synchrophasor Applications

    SciTech Connect (OSTI)

    Liu, Yilu; Gracia, Jose R.; Ewing, Paul D.; Zhao, Jiecheng; Tan, Jin; Wu, Ling; Zhan, Lingwei

    2015-07-01

    Phasor measurement units (PMUs), a type of synchrophasor, are powerful diagnostic tools that can help avert catastrophic failures in the power grid. Because of this, PMU measurement errors are particularly worrisome. This report examines the internal and external factors contributing to PMU phase angle and frequency measurement errors and gives a reasonable explanation for them. It also analyzes the impact of those measurement errors on several synchrophasor applications: event location detection, oscillation detection, islanding detection, and dynamic line rating. The primary finding is that dynamic line rating is more likely to be influenced by measurement error. Other findings include the possibility of reporting nonoscillatory activity as an oscillation as the result of error, failing to detect oscillations submerged by error, and the unlikely impact of error on event location and islanding detection.

  2. Using Synchrophasors for Frequency Response Analysis in the Western Interconnection

    SciTech Connect (OSTI)

    Kosterev, Dmitry; Davies, Donald; Etingov, Pavel V.; Silverstein, Alison; Eto, Joseph H.

    2014-10-19

    Frequency response has received a lot of attention in recent years at the national level, which culminated in the development and approval of NERC BAL-003-1 Frequency Response and Frequency Bias Setting Reliability Standard. WECC JSIS, NASPI, BPA, CERTS and PNNL collaborate on the common goals to deliver to the industry applications for frequency response analysis at interconnection, Balancing Authority and individual power plant levels. This paper describes a Frequency Response Analysis Tool that has been used for establishing a frequency response baseline for the Western Interconnection. This paper describes how synchrophasor data is used in for determination of generator characteristics frequency responsive, under load control or baseloaded. This paper also discusses and provides an example of how the frequency response distribution can impact power pick-up on major transmission paths.

  3. North American SynchroPhasor Initiative (NASPI) Technical Reports

    Broader source: Energy.gov [DOE]

    These technical reports were developed by members of the North American SynchroPhasor Initiative, a collaboration between the North American electric industry (utilities, grid operators, vendors and consultants), the North American Electric Reliability Corporation, academics, and the U.S. Department of Energy, to advance and accelerate the development and use of synchrophasor technology for grid reliability and efficiency. The material was produced for a series of NASPI technical workshops intended to educate and document the stakeholder community on the state of the art for key synchrophasor technology issues.

  4. Synchrophasor Technologies and their Deployment in the Recovery Act Smart

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

    Grid Programs (August 2013) | Department of Energy Synchrophasor Technologies and their Deployment in the Recovery Act Smart Grid Programs (August 2013) Synchrophasor Technologies and their Deployment in the Recovery Act Smart Grid Programs (August 2013) The American Recovery and Reinvestment Act of 2009 provided $4.5 billion for the Smart Grid Investment Grant (SGIG), Smart Grid Demonstration Program (SGDP), and other DOE smart grid programs. These programs provided grants to the electric

  5. IIT-Industry Collaboration - Synchrophasor Engineering Research and Training

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

    IIT-Industry Collaboration - Synchrophasor Engineering Research and Training Applicant: Illinois Institute of Technology (IIT) Principal Investigator: Alexander J. Flueck, flueck@iit.edu, 312-567-3625 Project Description Illinois Institute of Technology (IIT) has installed 12 Phasor Measurement Units (PMUs) on its main campus, home to the DOE-funded Perfect Power Microgrid. With the assistance of IIT Facilities, the PMU project has been gathering synchrophasor data from the 4 kV campus

  6. The North American SynchroPhasor Initiative (NASPI) is a collaboration

    Energy Savers [EERE]

    Synchrophasor technology is expected to offer automated controls for transmission and demand response as well as great benefits for integrating renewable and intermittent ...

  7. DOE Issues Funding Opportunity for Academic-Industry Collaboration- Synchrophasor Engineering Education Program

    Broader source: Energy.gov [DOE]

    Use of synchrophasor data from Phasor Measurement Units (PMUs) is considered to be a promising tool to monitor modern electric power systems. However, only a limited number of professionals, researchers, and students have the knowledge and expertise to understand and analyze the high-speed, time-synchronized data that will be generated by the deployment of synchrophasors.

  8. North American SynchroPhasor Initiative (NASPI) Technical Report- Phasor Tools Visualization

    Broader source: Energy.gov [DOE]

    This technical report was developed by the North American SynchroPhasor Initiative, a collaboration between the North American electric industry (utilities, grid operators, vendors and consultants), the North American Electric Reliability Corporation, academics, and the U.S. Department of Energy, to advance and accelerate the development and use of synchrophasor technology for grid reliability and efficiency. The material was produced for a visualization workshop, one of a series of NASPI technical workshops intended to educate and document the stakeholder community on the state of the art for key synchrophasor technology issues.

  9. How Synchrophasors are Bringing the Grid into the 21st Century | Department

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

    of Energy Synchrophasors are Bringing the Grid into the 21st Century How Synchrophasors are Bringing the Grid into the 21st Century April 16, 2014 - 12:10pm Addthis Power lines carry electricity across Washington State. | Photo courtesy of the Energy Department. Power lines carry electricity across Washington State. | Photo courtesy of the Energy Department. Patricia A. Hoffman Patricia A. Hoffman Assistant Secretary, Office of Electricity Delivery & Energy Reliability What is a

  10. "Advancement of Synchrophasor Technology in Projects Funded by the American

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

    Recovery and Reinvestment Act of 2009" Report | Department of Energy "Advancement of Synchrophasor Technology in Projects Funded by the American Recovery and Reinvestment Act of 2009" Report "Advancement of Synchrophasor Technology in Projects Funded by the American Recovery and Reinvestment Act of 2009" Report The American Recovery and Reinvestment Act of 2009 provided $4.5 billion to the Office of Electricity Delivery and Energy Reliability to modernize the U.S.

  11. The North American SynchroPhasor Initiative (NASPI) is a collaboration

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

    North American SynchroPhasor Initiative (NASPI) is a collaboration between the electric industry, the North American Electric Reliability Corporation (NERC), and the U.S. Department of Energy (DOE) to advance the use of synchrophasor technology to enhance grid reliability and economics through high-speed, wide-area measurement, monitoring, and control. The NASPI community is contributing to the development of secure, high- speed, time-synchronized data about bulk power system conditions. This

  12. CX-005615: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6Date: 04/13/2011Location(s): Fredricksburg, VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  13. CX-005620: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6Date: 04/13/2011Location(s): Blacksburg, VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  14. May 2014 PSERC Webinar: Testing and Validation of Synchrophasor Devices and Applications

    Broader source: Energy.gov [DOE]

    The DOE-funded Power Systems Engineering Research Center (PSERC) is offering a free public webinar presenting research on testing synchrophasor devices using a real-time wide area montioring and control test bed. The webinar will be held Tuesday, May 6, 2014 from 2-3 p.m. ET.

  15. Synchrophasor Technology Advancement in ARRA Projects: Final Report from the American Recovery and Reinvestment Act Projects

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

    Advancement of Synchrophasor Technology in ARRA Projects │ ii ACKNOWLEDGMENTS This report was sponsored by the U.S. Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (OE) and prepared by the Oak Ridge National Laboratory (ORNL). The effort was directed and supported by DOE Senior Advisor Joseph Paladino and DOE Program Managers Philip N. Overholt and Deborah Haught. The authors of this report were Jose R. Gracia (ORNL), Marcus A. Young, II, Ph.D. (ORNL), D. Tom

  16. Using Micro-Synchrophasor Data for Advanced Distribution Grid Planning and Operations Analysis

    SciTech Connect (OSTI)

    Stewart, Emma; Kiliccote, Sila; McParland, Charles; Roberts, Ciaran

    2014-07-01

    This report reviews the potential for distribution-grid phase-angle data that will be available from new micro-synchrophasors (µPMUs) to be utilized in existing distribution-grid planning and operations analysis. This data could augment the current diagnostic capabilities of grid analysis software, used in both planning and operations for applications such as fault location, and provide data for more accurate modeling of the distribution system. µPMUs are new distribution-grid sensors that will advance measurement and diagnostic capabilities and provide improved visibility of the distribution grid, enabling analysis of the grid’s increasingly complex loads that include features such as large volumes of distributed generation. Large volumes of DG leads to concerns on continued reliable operation of the grid, due to changing power flow characteristics and active generation, with its own protection and control capabilities. Using µPMU data on change in voltage phase angle between two points in conjunction with new and existing distribution-grid planning and operational tools is expected to enable model validation, state estimation, fault location, and renewable resource/load characterization. Our findings include: data measurement is outstripping the processing capabilities of planning and operational tools; not every tool can visualize a voltage phase-angle measurement to the degree of accuracy measured by advanced sensors, and the degree of accuracy in measurement required for the distribution grid is not defined; solving methods cannot handle the high volumes of data generated by modern sensors, so new models and solving methods (such as graph trace analysis) are needed; standardization of sensor-data communications platforms in planning and applications tools would allow integration of different vendors’ sensors and advanced measurement devices. In addition, data from advanced sources such as µPMUs could be used to validate models to improve

  17. Energy Department Announces Progress, Next Steps on Improving the Reliability of the Nation’s Electric Grid with Synchrophasor Technology

    Broader source: Energy.gov [DOE]

    On March 22, 2016, as the first-ever International Synchrophasor Symposium continues in Atlanta, GA, the Department of Energy’s (DOE) Office of Electricity Delivery and Energy Reliability (OE) released a new report chronicling American efforts to deploy this technology as well as two new funding opportunities to further advance the technology.

  18. CX-003056: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and Its Applications (Summary Categorical Exclusion)CX(s) Applied: B1.31, B4.6Date: 07/19/2010Location(s): VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  19. CX-005616: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6, B4.6Date: 04/13/2011Location(s): Prince William, VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  20. CX-005618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6, B4.6Date: 04/13/2011Location(s): Isle of Wight, VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  1. CX-005619: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6, B4.6Date: 04/13/2011Location(s): Chesterfield, VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  2. CX-005617: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6, B4.6Date: 04/13/2011Location(s): Raleigh, North CarolinaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  3. CX-001317: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Demonstration of a Novel Synchrophasor-Based Situational Awareness System: Wide Area System Visualization (Palo Alto)CX(s) Applied: A9Date: 03/18/2010Location(s): Palo Alto, CaliforniaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  4. Synchrophasor Based Tracking Three-Phase State Estimator and It's Applications

    SciTech Connect (OSTI)

    Phadke, A. G.; Thorp, James; Centeno, Virgilio; Gardner, Matthew; Novosel, Damir; Hu, Yi; Elizondo, David

    2013-08-31

    Electric power infrastructure is one of the critical resources of the nation. Its reliability in the face of natural or man-made catastrophes is of paramount importance for the economic and public health wellbeing of a modern society. Maintaining high levels of security for the high voltage transmission back bone of the electric supply network is a task requiring access to modern monitoring tools. These tools have been made particularly effective with the advent of synchronized phasor measurement units (PMUs) which became available in late 1990s, and have now become an indispensable for optimal monitoring, protection and control of the power grid. The present project was launched with an objective of demonstrating the value of the Wide Area Measurement System (WAMS) using PMUs and its applications on the Dominion Virginia Power High Voltage transmission grid. Virginia Tech is the birth place of PMUs, and was chosen to be the Principal Investigator of this project. In addition to Dominion Virginia Power, Quanta Technology of Raleigh, NC was selected to be co-Principal Investigators of this project.

  5. CX-010279: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Clemson University's Synchrophasor Education Engineering Program CX(s) Applied: A9 Date: 05/17/2013 Location(s): South Carolina Offices(s): National Energy Technology Laboratory

  6. CX-010448: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Educational Program on Synchrophasor Applications for the Smart Electric Grid CX(s) Applied: A9, B3.6 Date: 06/17/2013 Location(s): Washington Offices(s): National Energy Technology Laboratory

  7. CX-010278: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Collaborative Industry-Academic Synchrophasor Engineering Program CX(s) Applied: A9 Date: 05/17/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  8. CX-010280: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Illinois Institute of Technology-Industry Collaborations: Synchrophasor Engineering Research and Training CX(s) Applied: A9, B3.6 Date: 05/17/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  9. CX-010445: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancing Synchrophasor Applications and Training through Academic-Industry Collaborations CX(s) Applied: A9, B3.6 Date: 06/17/2013 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  10. CX-010446: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancing Synchrophasor Applications and Training through Academic-Industry Collaborations CX(s) Applied: A9, B3.6 Date: 06/17/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  11. CX-010447: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancing Synchrophasor Applications and Training through Academic-Industry Collaborations CX(s) Applied: A9, B3.6 Date: 06/17/2013 Location(s): Montana Offices(s): National Energy Technology Laboratory

  12. CX-010897: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Data Mining and Playback of Hybrid Synchrophasor Data for Research and Education CX(s) Applied: A9 Date: 06/27/2013 Location(s): Virginia Offices(s): National Energy Technology Laboratory

  13. CX-010642: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Data Mining and Playback of Hybrid Synchrophasor Data for Research and Education CX(s) Applied: A9 Date: 06/27/2013 Location(s): Virginia Offices(s): National Energy Technology Laboratory

  14. Determination

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

    Determinants of Household Use of Selected Energy Star Appliances May 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Determinants of Household Use of Selected Energy Star Appliances i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

  15. Autonomous Sub-Pixel Satellite Track Endpoint Determination for Space Based Images

    SciTech Connect (OSTI)

    Simms, L M

    2011-03-07

    An algorithm for determining satellite track endpoints with sub-pixel resolution in spaced-based images is presented. The algorithm allows for significant curvature in the imaged track due to rotation of the spacecraft capturing the image. The motivation behind the subpixel endpoint determination is first presented, followed by a description of the methodology used. Results from running the algorithm on real ground-based and simulated spaced-based images are shown to highlight its effectiveness.

  16. Synchrophasor Technology Advancement in ARRA Projects: Final...

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

    ... Connecting PMUs that are strategically located across the power grid with high-speed ... improve the grid's efficiency, and prevent or more quickly recover from outages. ...

  17. NASPI Synchrophasor Technical Report Renewables Integration with...

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

    ... 29-March 1, 2012 Orlando, Florida Research initiatives and ... energy plants (plants not turbine) * Operations prediction - ... BES Novel generation technologies for wind and solar pose ...

  18. NASPI Synchrophasor Technical Report Phasor Tools Visualization...

    Energy Savers [EERE]

    ... APPENDIX E - O pening C omments 26 * Jim McIntosh with the CAISO, Vickie VanZandt with ... Did like drill downs, better analysis. too many points on charts - would like to be able ...

  19. Apparatus and method for determining microscale interactions based on compressive sensors such as crystal structures

    DOE Patents [OSTI]

    McAdams, Harley; AlQuraishi, Mohammed

    2015-04-21

    Techniques for determining values for a metric of microscale interactions include determining a mesoscale metric for a plurality of mesoscale interaction types, wherein a value of the mesoscale metric for each mesoscale interaction type is based on a corresponding function of values of the microscale metric for the plurality of the microscale interaction types. A plurality of observations that indicate the values of the mesoscale metric are determined for the plurality of mesoscale interaction types. Values of the microscale metric are determined for the plurality of microscale interaction types based on the plurality of observations and the corresponding functions and compressed sensing.

  20. Method for improve x-ray diffraction determinations of residual stress in nickel-base alloys

    DOE Patents [OSTI]

    Berman, Robert M.; Cohen, Isadore

    1990-01-01

    A process for improving the technique of measuring residual stress by x-ray diffraction in pieces of nickel-base alloys which comprises covering part of a predetermined area of the surface of a nickel-base alloy with a dispersion, exposing the covered and uncovered portions of the surface of the alloy to x-rays by way of an x-ray diffractometry apparatus, making x-ray diffraction determinations of the exposed surface, and measuring the residual stress in the alloy based on these determinations. The dispersion is opaque to x-rays and serves a dual purpose since it masks off unsatisfactory signals such that only a small portion of the surface is measured, and it supplies an internal standard by providing diffractogram peaks comparable to the peaks of the nickel alloy so that the alloy peaks can be very accurately located regardless of any sources of error external to the sample.

  1. Method for improving x-ray diffraction determinations of residual stress in nickel-base alloys

    DOE Patents [OSTI]

    Berman, R.M.; Cohen, I.

    1988-04-26

    A process for improving the technique of measuring residual stress by x-ray diffraction in pieces of nickel-base alloys is discussed. Part of a predetermined area of the surface of a nickel-base alloy is covered with a dispersion. This exposes the covered and uncovered portions of the surface of the alloy to x-rays by way of an x-ray diffractometry apparatus, making x-ray diffraction determinations of the exposed surface, and measuring the residual stress in the alloy based on these determinations. The dispersion is opaque to x-rays and serves a dual purpose, since it masks off unsatisfactory signals such that only a small portion of the surface is measured, and it supplies an internal standard by providing diffractogram peaks comparable to the peaks of the nickel alloy so that the alloy peaks can be very accurately located regardless of any sources of error external to the sample. 2 figs.

  2. Enzyme-based electrochemical biosensors for determination of organophosphorus and carbamate pesticides

    SciTech Connect (OSTI)

    Everett, W.R.; Rechnitz, G.A.

    1999-01-01

    A mini review of enzyme-based electrochemical biosensors for inhibition analysis of organophosphorus and carbamate pesticides is presented. Discussion includes the most recent literature to present advances in detection limits, selectivity and real sample analysis. Recent reviews on the monitoring of pesticides and their residues suggest that the classical analytical techniques of gas and liquid chromatography are the most widely used methods of detection. These techniques, although very accurate in their determinations, can be quite time consuming and expensive and usually require extensive sample clean up and pro-concentration. For these and many other reasons, the classical techniques are very difficult to adapt for field use. Numerous researchers, in the past decade, have developed and made improvements on biosensors for use in pesticide analysis. This mini review will focus on recent advances made in enzyme-based electrochemical biosensors for the determinations of organophosphorus and carbamate pesticides.

  3. Microarray-based whole-genome hybridization as a tool for determining procaryotic species relatedness

    SciTech Connect (OSTI)

    Wu, L.; Liu, X.; Fields, M.W.; Thompson, D.K.; Bagwell, C.E.; Tiedje, J. M.; Hazen, T.C.; Zhou, J.

    2008-01-15

    The definition and delineation of microbial species are of great importance and challenge due to the extent of evolution and diversity. Whole-genome DNA-DNA hybridization is the cornerstone for defining procaryotic species relatedness, but obtaining pairwise DNA-DNA reassociation values for a comprehensive phylogenetic analysis of procaryotes is tedious and time consuming. A previously described microarray format containing whole-genomic DNA (the community genome array or CGA) was rigorously evaluated as a high-throughput alternative to the traditional DNA-DNA reassociation approach for delineating procaryotic species relationships. DNA similarities for multiple bacterial strains obtained with the CGA-based hybridization were comparable to those obtained with various traditional whole-genome hybridization methods (r=0.87, P<0.01). Significant linear relationships were also observed between the CGA-based genome similarities and those derived from small subunit (SSU) rRNA gene sequences (r=0.79, P<0.0001), gyrB sequences (r=0.95, P<0.0001) or REP- and BOX-PCR fingerprinting profiles (r=0.82, P<0.0001). The CGA hybridization-revealed species relationships in several representative genera, including Pseudomonas, Azoarcus and Shewanella, were largely congruent with previous classifications based on various conventional whole-genome DNA-DNA reassociation, SSU rRNA and/or gyrB analyses. These results suggest that CGA-based DNA-DNA hybridization could serve as a powerful, high-throughput format for determining species relatedness among microorganisms.

  4. A fluorescence-based method for rapid and direct determination of polybrominated diphenyl ethers in water

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

    Shan, Huimei; Liu, Chongxuan; Wang, Zheming; Ma, Teng; Shang, Jianying; Pan, Duoqiang

    2015-01-01

    A new method was developed for rapid and direct measurement of polybrominated diphenyl ethers (PBDEs) in aqueous samples using fluorescence spectroscopy. The fluorescence spectra of tri- to deca-BDE (BDE 28, 47, 99, 153, 190, and 209) commonly found in environment were measured at variable emission and excitation wavelengths. The results revealed that the PBDEs have distinct fluorescence spectral profiles and peak positions that can be exploited to identify these species and determine their concentrations in aqueous solutions. The detection limits as determined in deionized water spiked with PBDEs are 1.71-5.82 ng/L for BDE 28, BDE 47, BDE 190, and BDEmore » 209 and 45.55–69.95 ng/L for BDE 99 and BDE 153. The effects of environmental variables including pH, humic substance, and groundwater chemical composition on PBDEs measurements were also investigated. These environmental variables affected fluorescence intensity, but their effect can be corrected through linear additivity and separation of spectral signal contribution. Compared with conventional GC-based analytical methods, the fluorescence spectroscopy method is more efficient as it only uses a small amount of samples (2-4 mL), avoids lengthy complicated concentration and extraction steps, and has a low detection limit of a few ng/L.« less

  5. A fluorescence-based method for rapid and direct determination of polybrominated diphenyl ethers in water

    SciTech Connect (OSTI)

    Shan, Huimei; Liu, Chongxuan; Wang, Zheming; Ma, Teng; Shang, Jianying; Pan, Duoqiang

    2015-01-01

    A new method was developed for rapid and direct measurement of polybrominated diphenyl ethers (PBDEs) in aqueous samples using fluorescence spectroscopy. The fluorescence spectra of tri- to deca-BDE (BDE 28, 47, 99, 153, 190, and 209) commonly found in environment were measured at variable emission and excitation wavelengths. The results revealed that the PBDEs have distinct fluorescence spectral profiles and peak positions that can be exploited to identify these species and determine their concentrations in aqueous solutions. The detection limits as determined in deionized water spiked with PBDEs are 1.71-5.82 ng/L for BDE 28, BDE 47, BDE 190, and BDE 209 and 45.5569.95 ng/L for BDE 99 and BDE 153. The effects of environmental variables including pH, humic substance, and groundwater chemical composition on PBDEs measurements were also investigated. These environmental variables affected fluorescence intensity, but their effect can be corrected through linear additivity and separation of spectral signal contribution. Compared with conventional GC-based analytical methods, the fluorescence spectroscopy method is more efficient as it only uses a small amount of samples (2-4 mL), avoids lengthy complicated concentration and extraction steps, and has a low detection limit of a few ng/L.

  6. Determination of microgram amounts of selenium and tellurium in copper-base alloys by atomic absorption spectrometry

    SciTech Connect (OSTI)

    Bedrossian, M.

    1984-02-01

    Trace amounts of selenium and tellurium in copper-base alloys are determined by atomic absorption spectroscopy. The alloys are dissolved in nitric acid to yield selenious and tellurous acids which are readily reduced to elemental form. Iodide complexes of both selenium and tellurium are extracted simultaneously using a solution of trioctylphosphine oxide and methyl isobutyl ketone. Selenium and tellurium are determined by flame atomic absorption with a sensitivity of 0.0002%. 6 references, 2 tables.

  7. Determination of High-Frequency Current Distribution Using EMTP-Based Transmission Line Models with Resulting Radiated Electromagnetic Fields

    SciTech Connect (OSTI)

    Mork, B; Nelson, R; Kirkendall, B; Stenvig, N

    2009-11-30

    Application of BPL technologies to existing overhead high-voltage power lines would benefit greatly from improved simulation tools capable of predicting performance - such as the electromagnetic fields radiated from such lines. Existing EMTP-based frequency-dependent line models are attractive since their parameters are derived from physical design dimensions which are easily obtained. However, to calculate the radiated electromagnetic fields, detailed current distributions need to be determined. This paper presents a method of using EMTP line models to determine the current distribution on the lines, as well as a technique for using these current distributions to determine the radiated electromagnetic fields.

  8. Poynting-vector based method for determining the bearing and location of electromagnetic sources

    DOE Patents [OSTI]

    Simons, David J.; Carrigan, Charles R.; Harben, Philip E.; Kirkendall, Barry A.; Schultz, Craig A.

    2008-10-21

    A method and apparatus is utilized to determine the bearing and/or location of sources, such as, alternating current (A.C.) generators and loads, power lines, transformers and/or radio-frequency (RF) transmitters, emitting electromagnetic-wave energy for which a Poynting-Vector can be defined. When both a source and field sensors (electric and magnetic) are static, a bearing to the electromagnetic source can be obtained. If a single set of electric (E) and magnetic (B) sensors are in motion, multiple measurements permit location of the source. The method can be extended to networks of sensors allowing determination of the location of both stationary and moving sources.

  9. Analyzing task-based user study data to determine colormap efficiency

    SciTech Connect (OSTI)

    Ashton, Zoe Charon Maria; Wendelberger, Joanne Roth; Ticknor, Lawrence O.; Turton, Terece; Samsel, Francesca

    2015-07-23

    Domain scientists need colormaps to visualize their data and are especially useful for identifying areas of interest, like in ocean data to identify eddies or characterize currents. However, traditional Rainbow colormap performs poorly for understanding details, because of the small perceptual range. In order to assist domain scientists in recognizing and identifying important details in their data, different colormaps need to be applied to allow higher perceptual definition. Visual artist Francesca Samsel used her understanding of color theory to create new colormaps to improve perception. While domain scientists find the new colormaps to be useful, we implemented a rigorous and quantitative study to determine whether or not the new colormaps have perceptually more colors. Color count data from one of these studies will be analyzed in depth in order to determine whether or not the new colormaps have more perceivable colors and what affects the number of perceivable colors.

  10. DOE Report Describes Progress in the Deployment of Synchrophasor...

    Open Energy Info (EERE)

    Grid The U.S. Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (OE) is pleased to announce the publication of a new report from the Smart Grid...

  11. "Advancement of Synchrophasor Technology in Projects Funded by...

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

    to the Office of Electricity Delivery and Energy ... the behavior of the transmission system and improve reliability. As a result of this investment, operators now have near ...

  12. North American SynchroPhasor Initiative (NASPI) Technical Report...

    Office of Environmental Management (EM)

    Inaccurate models have contributed to a number of recent North American power outages. Phasor measurement units (PMUs) collect high-speed, time-synchronized data about grid ...

  13. May 2014 PSERC Webinar: Testing and Validation of Synchrophasor...

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

    data: the Phasor Measurement Unit Performance Analyzer (PPA) and Real Time Voltage Stability Monitoring (RT-VSM). The webinar will be held Tuesday, May 6, 2014 from 2-3 p.m. ...

  14. Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration

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

    Yue, Meng; Wang, Xiaoyu

    2015-07-01

    It is well-known that responsive battery energy storage systems (BESSs) are an effective means to improve the grid inertial response to various disturbances including the variability of the renewable generation. One of the major issues associated with its implementation is the difficulty in determining the required BESS capacity mainly due to the large amount of inherent uncertainties that cannot be accounted for deterministically. In this study, a probabilistic approach is proposed to properly size the BESS from the perspective of the system inertial response, as an application of probabilistic risk assessment (PRA). The proposed approach enables a risk-informed decision-making processmore » regarding (1) the acceptable level of solar penetration in a given system and (2) the desired BESS capacity (and minimum cost) to achieve an acceptable grid inertial response with a certain confidence level.« less

  15. Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration

    SciTech Connect (OSTI)

    Yue, Meng; Wang, Xiaoyu

    2015-07-01

    It is well-known that responsive battery energy storage systems (BESSs) are an effective means to improve the grid inertial response to various disturbances including the variability of the renewable generation. One of the major issues associated with its implementation is the difficulty in determining the required BESS capacity mainly due to the large amount of inherent uncertainties that cannot be accounted for deterministically. In this study, a probabilistic approach is proposed to properly size the BESS from the perspective of the system inertial response, as an application of probabilistic risk assessment (PRA). The proposed approach enables a risk-informed decision-making process regarding (1) the acceptable level of solar penetration in a given system and (2) the desired BESS capacity (and minimum cost) to achieve an acceptable grid inertial response with a certain confidence level.

  16. Determining perception-based impacts of noxious facilities on wage rates and property values

    SciTech Connect (OSTI)

    Nieves, L.A.; Clark, D.E.

    1992-02-01

    This document, written for the US Department of Energy, discusses current information and the need for future research on estimating the impacts on wages and property values that could result from people's perceptions of the risks associated with noxious facilities. Psychometric studies indicate that the US population is averse to living near noxious facilities, nuclear-related facilities in particular. Contingent valuation and hedonic studies find that the net economic impacts of proximity to noxious facilities are generally negative and often substantial. Most of these studies are limited in scope, and none estimate the impacts derived from public perceptions of such facilities. This study examines the mechanisms by which negative public perceptions result in economic impacts reflected in wages and property values. On the basis of these mechanisms, it develops a predictive model of perception-based impacts and identifies the data and methods needed to implement it. The key to predicting perception-based impacts lies in combining psychometric and hedonic methods. The reliability of psychometric measures as indicators of aversive stimuli that precipitate economic impacts can be empirically tested. To test the robustness of the findings, alternative estimation methods an be employed in the hedonic analysis. Contingent valuation methods can confirm the results.

  17. Determining perception-based impacts of noxious facilities on wage rates and property values

    SciTech Connect (OSTI)

    Nieves, L.A.; Clark, D.E.

    1992-02-01

    This document, written for the US Department of Energy, discusses current information and the need for future research on estimating the impacts on wages and property values that could result from people`s perceptions of the risks associated with noxious facilities. Psychometric studies indicate that the US population is averse to living near noxious facilities, nuclear-related facilities in particular. Contingent valuation and hedonic studies find that the net economic impacts of proximity to noxious facilities are generally negative and often substantial. Most of these studies are limited in scope, and none estimate the impacts derived from public perceptions of such facilities. This study examines the mechanisms by which negative public perceptions result in economic impacts reflected in wages and property values. On the basis of these mechanisms, it develops a predictive model of perception-based impacts and identifies the data and methods needed to implement it. The key to predicting perception-based impacts lies in combining psychometric and hedonic methods. The reliability of psychometric measures as indicators of aversive stimuli that precipitate economic impacts can be empirically tested. To test the robustness of the findings, alternative estimation methods an be employed in the hedonic analysis. Contingent valuation methods can confirm the results.

  18. Post-processing of seismic parameter data based on valid seismic event determination

    DOE Patents [OSTI]

    McEvilly, Thomas V.

    1985-01-01

    An automated seismic processing system and method are disclosed, including an array of CMOS microprocessors for unattended battery-powered processing of a multi-station network. According to a characterizing feature of the invention, each channel of the network is independently operable to automatically detect, measure times and amplitudes, and compute and fit Fast Fourier transforms (FFT's) for both P- and S- waves on analog seismic data after it has been sampled at a given rate. The measured parameter data from each channel are then reviewed for event validity by a central controlling microprocessor and if determined by preset criteria to constitute a valid event, the parameter data are passed to an analysis computer for calculation of hypocenter location, running b-values, source parameters, event count, P- wave polarities, moment-tensor inversion, and Vp/Vs ratios. The in-field real-time analysis of data maximizes the efficiency of microearthquake surveys allowing flexibility in experimental procedures, with a minimum of traditional labor-intensive postprocessing. A unique consequence of the system is that none of the original data (i.e., the sensor analog output signals) are necessarily saved after computation, but rather, the numerical parameters generated by the automatic analysis are the sole output of the automated seismic processor.

  19. Base line for determining local, small-scale vertical movements in Louisiana

    SciTech Connect (OSTI)

    Trahan, D.B.

    1983-01-01

    Subsidence in Louisiana is a result of many factors ranging from local, man-induced to regional, large-scale processes. The measurement of local, man-induced subsidence is especially critical in areas with high rates of land loss. In order to measure local vertical movement, absolute historical geodetic movements have been estimated by adjusting all movements along the first-order vertical control network from northeast to southwest Louisiana as related to the Monroe Uplift. The adjustment will serve as a base line by which local subsidence or uplift can be measured. A generalized trend of increasing subsidence to the south in Louisiana is probably a reflection of increasing sediment thickness and weight toward the AXIS of the Gulf Coast Basin. Anomalous values as low as -17.6 mm/y occur superjacent to the position of Pleistocene and Holocene fluvial elements. Positive movement, up to +4.1 mm/y, has been found associated with the Iberian structural axis in south-central Louisiana. Land subsidence due to natural causes may far outweigh subsidence resulting from fluid withdrawal or depressurization of geopressured aquifers. The effects of regional and local natural processes should not be underestimated in any systematic approach to measuring subsidence. 13 references, 7 figures.

  20. Experimental determination of band offsets of NiO-based thin film heterojunctions

    SciTech Connect (OSTI)

    Kawade, Daisuke; Sugiyama, Mutsumi, E-mail: mutsumi@rs.noda.tus.ac.jp [Faculty of Science and Technology/Research Institute for Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510 (Japan); Chichibu, Shigefusa F. [Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, 2-1-1 Katahira, Aoba, Sendai 9808577 (Japan)

    2014-10-28

    The energy band diagrams of NiO-based solar cell structures that use various n-type oxide semiconductors such as ZnO, Mg{sub 0.3}Zn{sub 0.7}O, Zn{sub 0.5}Sn{sub 0.5}O, In{sub 2}O{sub 3}:Sn (ITO), SnO{sub 2}, and TiO{sub 2} were evaluated by photoelectron yield spectroscopy. The valence band discontinuities were estimated to be 1.6?eV for ZnO/NiO and Mg{sub 0.3}Zn{sub 0.7}O/NiO, 1.7?eV for Zn{sub 0.5}Sn{sub 0.5}O/NiO and ITO/NiO, and 1.8?eV for SnO{sub 2}/NiO and TiO{sub 2}/NiO heterojunctions. By using the valence band discontinuity values and corresponding energy bandgaps of the layers, energy band diagrams were developed. Judging from the band diagram, an appropriate solar cell consisting of p-type NiO and n-type ZnO layers was deposited on ITO, and a slight but noticeable photovoltaic effect was obtained with an open circuit voltage (V{sub oc}) of 0.96?V, short circuit current density (J{sub sc}) of 2.2??A/cm{sup 2}, and fill factor of 0.44.

  1. Determination of solute site occupancies within γ' precipitates in nickel-base superalloys via orientation-specific atom probe tomography

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

    Meher, Subhashish; Rojhirunsakool, Tanaporn; Nandwana, Peeyush; Tiley, Jamie; Banerjee, Rajarshi

    2015-04-28

    In this study, the analytical limitations in atom probe tomography such as resolving a desired set of atomic planes, for solving complex materials science problems, have been overcome by employing a well-developed unique and reproducible crystallographic technique, involving synergetic coupling of orientation microscopy with atom probe tomography. The crystallographic information in atom probe reconstructions has been utilized to determine the solute site occupancies in Ni-Al-Cr based superalloys accurately. The structural information in atom probe reveals that both Al and Cr occupy the same sub-lattice within the L12-ordered g precipitates to form Ni3(Al,Cr) precipitates in a Ni-14Al-7Cr(at.%) alloy. Interestingly, the additionmore » of Co, which is a solid solution strengthener, to a Ni-14Al-7Cr alloy results in the partial reversal of Al site occupancy within g precipitates to form (Ni,Al)3(Al,Cr,Co) precipitates. This unique evidence of reversal of Al site occupancy, resulting from the introduction of other solutes within the ordered structures, gives insights into the relative energetics of different sub-lattice sites when occupied by different solutes.« less

  2. Detecting bacteria and Determining Their Susceptibility to Antibiotics by Stochastic Confinement in Nanoliter Droplets using Plug-Based Microfluidics

    SciTech Connect (OSTI)

    Boedicker, J.; Li, L; Kline, T; Ismagilov, R

    2008-01-01

    This article describes plug-based microfluidic technology that enables rapid detection and drug susceptibility screening of bacteria in samples, including complex biological matrices, without pre-incubation. Unlike conventional bacterial culture and detection methods, which rely on incubation of a sample to increase the concentration of bacteria to detectable levels, this method confines individual bacteria into droplets nanoliters in volume. When single cells are confined into plugs of small volume such that the loading is less than one bacterium per plug, the detection time is proportional to plug volume. Confinement increases cell density and allows released molecules to accumulate around the cell, eliminating the pre-incubation step and reducing the time required to detect the bacteria. We refer to this approach as stochastic confinement. Using the microfluidic hybrid method, this technology was used to determine the antibiogram - or chart of antibiotic sensitivity - of methicillin-resistant Staphylococcus aureus (MRSA) to many antibiotics in a single experiment and to measure the minimal inhibitory concentration (MIC) of the drug cefoxitin (CFX) against this strain. In addition, this technology was used to distinguish between sensitive and resistant strains of S. aureus in samples of human blood plasma. High-throughput microfluidic techniques combined with single-cell measurements also enable multiple tests to be performed simultaneously on a single sample containing bacteria. This technology may provide a method of rapid and effective patient-specific treatment of bacterial infections and could be extended to a variety of applications that require multiple functional tests of bacterial samples on reduced timescales.

  3. Pre-Commercial Demonstration of Direct Non-Iterative State Estimator (DNSE+)

    SciTech Connect (OSTI)

    Lelic, Dino

    2015-04-24

    The objective of this DOE co-funded project is to demonstrate functionality and performance of a production-grade Direct Non-iterative State Estimator (DNSE) through its integration with NYPA’s Energy Management System (EMS) and an enhanced Real Time Dynamics Monitoring System (RTDMS) synchrophasor platform from Electric Power Group (EPG). A production-grade DNSE aims to overcome a major obstacle to the operational use of synchrophasor data in Synchro-Phasor Management Systems (SPMS) by providing SPMS applications with a consistent and a complete synchrophasor data foundation in the same way that a traditional EMS State Estimator (SE) provides to EMS applications. Specifically, the DNSE uses synchrophasor measurements and Supervisory Control and Data Acquisition (SCADA) measurements, together with the complete power system model, to simultaneously obtain the complete state of the entire utility’s operating model at rates that are close to the synchrophasor data rates. The full system coverage property is what distinguishes the DNSE from the linear synchrophasor SEs (which cover only parts of the operating model that are visible through synchrophasor measurements), and DNSE differs from traditional EMS SE in that the solution is obtained without iterations, without initial values (hence the “direct” in the name), and at a much higher execution rate. This presentation provides an overview of the project objectives, a brief description of the main tasks including the development work to productize and optimize DNSE from its current MATLAB code base, RTDMS enhancement for interfacing with the DNSE, factory acceptance testing, field installation, testing and demonstration, as well as the current status of the project execution.

  4. Determination of morphological characteristics of metallic nanoparticles based on modified Maxwell-Garnett fitting of optical responses

    SciTech Connect (OSTI)

    Battie, Y. Resano-Garcia, A.; En Naciri, A.; Akil, S.; Chaoui, N.

    2015-10-05

    A modified effective medium theory (MEMT) is introduced to determine morphological characteristics and the volume fraction of colloidal metallic nanoparticles. By analyzing the optical absorption spectra of gold nanoparticles (NPs), this model is used to determine the distribution of prolate and oblate NPs and to demonstrate the presence of spherical NPs. In addition to interband transition, the model takes into account the longitudinal and transversal surface plasmon resonances. The results predicted by the MEMT theory were found to be in very good agreement with the shape distributions obtained by transmission electron microscopy. We found that fitting optical absorption spectra using MEMT provides a robust tool for measuring the shape and concentration of metallic NPs.

  5. Determination of permissible underground power cable installation -- A calculation method on cable ampacity based on heat generation

    SciTech Connect (OSTI)

    Kuo, C.K.

    1995-09-01

    In a power plant, it is often necessary to install a medium voltage underground cable system to transport the high capacity of auxiliary transformer power output to switchgear lineups. Installation of high current carrying power cable is often limited by the resistive heat generated by the passage of high current. Because heat dissipation in cable routed underground is affected by the soil temperature, soil resistivity, and cable depth, a systematic analysis is necessary to determine the permissible cable ampacity in each cable among the group of cables in any combination of underground cable and duct arrangements. The calculation will determine the medium allowable ampacity in such a system. Depending on the underground cable and duct arrangements, the current carrying capacity of similar cable systems may be different. The impedance of each phase of a cable will be different in a multi-conductor per phase cable system if the cable and duct arrangements are not symmetrical. The calculation will also determine any unbalanced phase impedances and calculate the unbalanced phase currents.

  6. DOE Issues Funding Opportunity for Academic-Industry Collaboration...

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

    Academic-Industry Collaboration - Synchrophasor Engineering Education Program DOE Issues Funding Opportunity for Academic-Industry Collaboration - Synchrophasor Engineering ...

  7. Practical in-situ determination of ortho-para hydrogen ratios via fiber-optic based Raman spectroscopy

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

    Sutherland, Liese -Marie; Knudson, James N.; Mocko, Michal; Renneke, Richard M.

    2015-12-17

    An experiment was designed and developed to prototype a fiber-optic-based laser system, which measures the ratio of ortho-hydrogen to para-hydrogen in an operating neutron moderator system at the Los Alamos Neutron Science Center (LANSCE) spallation neutron source. Preliminary measurements resulted in an ortho to para ratio of 3.06:1, which is within acceptable agreement with the previously published ratio. As a result, the successful demonstration of Raman Spectroscopy for this measurement is expected to lead to a practical method that can be applied for similar in-situ measurements at operating neutron spallation sources.

  8. Machine vision based particle size and size distribution determination of airborne dust particles of wood and bark pellets

    SciTech Connect (OSTI)

    Igathinathane, C; Pordesimo, L.O.

    2009-08-01

    Dust management strategies in industrial environment, especially of airborne dust, require quantification and measurement of size and size distribution of the particles. Advanced specialized instruments that measure airborne particle size and size distribution apply indirect methods that involve light scattering, acoustic spectroscopy, and laser diffraction. In this research, we propose a simple and direct method of airborne dust particle dimensional measurement and size distribution analysis using machine vision. The method involves development of a user-coded ImageJ plugin that measures particle length and width and analyzes size distribution of particles based on particle length from high-resolution scan images. Test materials were airborne dust from soft pine wood sawdust pellets and ground pine tree bark pellets. Subsamples prepared by dividing the actual dust using 230 mesh (63 m) sieve were analyzed as well. A flatbed document scanner acquired the digital images of the dust particles. Proper sampling, layout of dust particles in singulated arrangement, good contrast smooth background, high resolution images, and accurate algorithm are essential for reliable analysis. A halo effect around grey-scale images ensured correct threshold limits. The measurement algorithm used Feret s diameter for particle length and pixel-march technique for particle width. Particle size distribution was analyzed in a sieveless manner after grouping particles according to their distinct lengths, and several significant dimensions and parameters of particle size distribution were evaluated. Results of the measurement and analysis were presented in textual and graphical formats. The developed plugin was evaluated to have a dimension measurement accuracy in excess of 98.9% and a computer speed of analysis of <8 s/image. Arithmetic mean length of actual wood and bark pellets airborne dust particles were 0.1138 0.0123 and 0.1181 0.0149 mm, respectively. The airborne dust particles of

  9. TU-F-18A-04: Use of An Image-Based Material-Decomposition Algorithm for Multi-Energy CT to Determine Basis Material Densities

    SciTech Connect (OSTI)

    Li, Z; Leng, S; Yu, L; McCollough, C

    2014-06-15

    Purpose: Published methods for image-based material decomposition with multi-energy CT images have required the assumption of volume conservation or accurate knowledge of the x-ray spectra and detector response. The purpose of this work was to develop an image-based material-decomposition algorithm that can overcome these limitations. Methods: An image-based material decomposition algorithm was developed that requires only mass conservation (rather than volume conservation). With this method, using multi-energy CT measurements made with n=4 energy bins, the mass density of each basis material and of the mixture can be determined without knowledge of the tube spectra and detector response. A digital phantom containing 12 samples of mixtures from water, calcium, iron, and iodine was used in the simulation (Siemens DRASIM). The calibration was performed by using pure materials at each energy bin. The accuracy of the technique was evaluated in noise-free and noisy data under the assumption of an ideal photon-counting detector. Results: Basis material densities can be estimated accurately by either theoretic calculation or calibration with known pure materials. The calibration approach requires no prior information about the spectra and detector response. Regression analysis of theoretical values versus estimated values results in excellent agreement for both noise-free and noisy data. For the calibration approach, the R-square values are 0.9960+/−0.0025 and 0.9476+/−0.0363 for noise-free and noisy data, respectively. Conclusion: From multi-energy CT images with n=4 energy bins, the developed image-based material decomposition method accurately estimated 4 basis material density (3 without k-edge and 1 with in the range of the simulated energy bins) even without any prior information about spectra and detector response. This method is applicable to mixtures of solutions and dissolvable materials, where volume conservation assumptions do not apply. CHM receives

  10. DOE Announces Award Selections for Academic-Industry Collaboration – Synchrophasor Engineering Education Program

    Broader source: Energy.gov [DOE]

    The Department of Energy (DOE) has selected seven projects for awards totaling approximately $1.4 million to help colleges and universities better prepare the electricity industry workforce of the...

  11. Northeast High-Level Radioactive Waste Transportation Task Force Agenda |

    Office of Environmental Management (EM)

    Synchrophasor Technology and Renewables Integration | Department of Energy Report - Synchrophasor Technology and Renewables Integration North American SynchroPhasor Initiative (NASPI) Technical Report - Synchrophasor Technology and Renewables Integration This technical report was developed in June 2012 by the North American SynchroPhasor Initiative, a collaboration between the North American electric industry (utilities, grid operators, vendors and consultants), the North American Electric

  12. Award Fee Determination Summary

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

    2 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, Attachment J.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: FY 2012 Base Period Fee Available Fee allocated to FY 2012* Performance Measures $10,399,033.60 Incremental Fee $4,490,000.00 Provisional Fee

  13. Award Fee Determination Summary

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

    1 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded and American Recovery and Reinvestment Act (Recovery) funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, AttachmentJ.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: Fiscal Year 2011 (Oct 1, 2010 - Sept 30, 2011) Base Funded Fee Recovery Funded Fee Available

  14. Summary of Time Period-Based and Other Approximation Methods for Determining the Capacity Value of Wind and Solar in the United States: September 2010 - February 2012

    SciTech Connect (OSTI)

    Rogers, J.; Porter, K.

    2012-03-01

    This paper updates previous work that describes time period-based and other approximation methods for estimating the capacity value of wind power and extends it to include solar power. The paper summarizes various methods presented in utility integrated resource plans, regional transmission organization methodologies, regional stakeholder initiatives, regulatory proceedings, and academic and industry studies. Time period-based approximation methods typically measure the contribution of a wind or solar plant at the time of system peak - sometimes over a period of months or the average of multiple years.

  15. Determination of CT number and density profile of binderless, pre-treated and tannin-based Rhizophora spp. particleboards using computed tomography imaging and electron density phantom

    SciTech Connect (OSTI)

    Yusof, Mohd Fahmi Mohd Hamid, Puteri Nor Khatijah Abdul; Tajuddin, Abdul Aziz; Bauk, Sabar; Hashim, Rokiah

    2015-04-29

    Plug density phantoms were constructed in accordance to CT density phantom model 062M CIRS using binderless, pre-treated and tannin-based Rhizophora Spp. particleboards. The Rhizophora Spp. plug phantoms were scanned along with the CT density phantom using Siemens Somatom Definition AS CT scanner at three CT energies of 80, 120 and 140 kVp. 15 slices of images with 1.0 mm thickness each were taken from the central axis of CT density phantom for CT number and CT density profile analysis. The values were compared to water substitute plug phantom from the CT density phantom. The tannin-based Rhizophora Spp. gave the nearest value of CT number to water substitute at 80 and 120 kVp CT energies with χ{sup 2} value of 0.011 and 0.014 respectively while the binderless Rhizphora Spp. gave the nearest CT number to water substitute at 140 kVp CT energy with χ{sup 2} value of 0.023. The tannin-based Rhizophora Spp. gave the nearest CT density profile to water substitute at all CT energies. This study indicated the suitability of Rhizophora Spp. particleboard as phantom material for the use in CT imaging studies.

  16. CAB Investment Review Summary

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

    Synchrophasors This project is a five-year effort to acquire, install, test and implement synchronized Wide Area Measurement (WAM) and control technology at BPA. Synchrophasors are...

  17. Education Virgilio Centeno, PI University: Virginia Polytechnic...

    Office of Environmental Management (EM)

    Data mining and playback of Hybrid Synchrophasor for Research and Education Virgilio ... is to advance development in Synchrophasor data research and education in two fronts: 1) ...

  18. The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation

    SciTech Connect (OSTI)

    Baba, Justin S; Koju, Vijay; John, Dwayne O

    2016-01-01

    The modulation of the state of polarization of photons due to scatter generates associated geometric phase that is being investigated as a means for decreasing the degree of uncertainty in back-projecting the paths traversed by photons detected in backscattered geometry. In our previous work, we established that polarimetrically detected Berry phase correlates with the mean photon penetration depth of the backscattered photons collected for image formation. In this work, we report on the impact of state-of-linear-polarization (SOLP) filtering on both the magnitude and population distributions of image forming detected photons as a function of the absorption coefficient of the scattering sample. The results, based on Berry phase tracking implemented Polarized Monte Carlo Code, indicate that sample absorption plays a significant role in the mean depth attained by the image forming backscattered detected photons.

  19. A quantitative method for determination of carrier escape efficiency in GaN-based light-emitting diodes: A comparison of open- and short-circuit photoluminescence

    SciTech Connect (OSTI)

    Lim, Seung-Hyuk; Ko, Young-Ho; Cho, Yong-Hoon

    2014-03-03

    We propose a method to quantitatively analyze the internal quantum efficiency (IQE) as well as the efficiencies of non-radiative recombination in the active region (NRA) and carrier escape out of the active region (ESC) by comparing open-circuit (OC) to short-circuit (SC) conditions of InGaN-based light-emitting diodes (LEDs). First, the IQE was extracted from excitation-power dependent photoluminescence at low temperature, and the electron-hole wavefunction overlaps were calculated under OC and SC conditions. Then, the NRA and ESC efficiencies were quantitatively deduced and also compared with photocurrent data. The proposed method would be useful for assessing and designing quantum barriers and analyzing leakage current in LEDs.

  20. Waste Determination Equivalency - 12172

    SciTech Connect (OSTI)

    Freeman, Rebecca D.

    2012-07-01

    The Savannah River Site (SRS) is a Department of Energy (DOE) facility encompassing approximately 800 square kilometers near Aiken, South Carolina which began operations in the 1950's with the mission to produce nuclear materials. The SRS contains fifty-one tanks (2 stabilized, 49 yet to be closed) distributed between two liquid radioactive waste storage facilities at SRS containing carbon steel underground tanks with storage capacities ranging from 2,800,000 to 4,900,000 liters. Treatment of the liquid waste from these tanks is essential both to closing older tanks and to maintaining space needed to treat the waste that is eventually vitrified or disposed of onsite. Section 3116 of the Ronald W. Reagan National Defense Authorization Act of Fiscal Year 2005 (NDAA) provides the Secretary of Energy, in consultation with the Nuclear Regulatory Commission (NRC), a methodology to determine that certain waste resulting from prior reprocessing of spent nuclear fuel are not high-level radioactive waste if it can be demonstrated that the waste meets the criteria set forth in Section 3116(a) of the NDAA. The Secretary of Energy, in consultation with the NRC, signed a determination in January 2006, pursuant to Section 3116(a) of the NDAA, for salt waste disposal at the SRS Saltstone Disposal Facility. This determination is based, in part, on the Basis for Section 3116 Determination for Salt Waste Disposal at the Savannah River Site and supporting references, a document that describes the planned methods of liquid waste treatment and the resulting waste streams. The document provides descriptions of the proposed methods for processing salt waste, dividing them into 'Interim Salt Processing' and later processing through the Salt Waste Processing Facility (SWPF). Interim Salt Processing is separated into Deliquification, Dissolution, and Adjustment (DDA) and Actinide Removal Process/Caustic Side Solvent Extraction Unit (ARP/MCU). The Waste Determination was signed by the

  1. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, Carol Maryanne; Pickett, John Butler; Brown, Kevin George; Edwards, Thomas Barry

    1998-01-01

    A process for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, .DELTA.G.sub.p, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, .DELTA.G.sub.a, based upon the free energy associated with weak acid dissociation, .DELTA.G.sub.a.sup.WA, and accelerated matrix dissolution at high pH, .DELTA.G.sub.a.sup.SB associated with solution strong base formation, and determining a final hydration free energy, .DELTA.G.sub.f. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log.sub.10 (N C.sub.i (g/L))=a.sub.i +b.sub.i .DELTA.G.sub.f. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained.

  2. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, C.M.; Pickett, J.B.; Brown, K.G.; Edwards, T.B.

    1998-12-08

    A process is described for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, {Delta}G{sub p}, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, {Delta}G{sub a}, based upon the free energy associated with weak acid dissociation, {Delta}G{sub a}{sup WA}, and accelerated matrix dissolution at high pH, {Delta}G{sub a}{sup SB} associated with solution strong base formation, and determining a final hydration free energy, {Delta}G{sub f}. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log{sub 10}(N C{sub i}(g/L))=a{sub i} + b{sub i}{Delta}G{sub f}. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained. 4 figs.

  3. Quantitative Experimental Determination of the Solid Solution...

    Office of Scientific and Technical Information (OSTI)

    Quantitative Experimental Determination of the Solid Solution Hardening Potential of Rhenium, Tungsten and Molybdenum in Single Crystal Nickel-based Superalloys Citation Details ...

  4. Computational Procedures for Determining Parameters in Ramberg...

    Office of Scientific and Technical Information (OSTI)

    2 RAMBO: A Computer Code for Determining Parameters in Ramberg-Osgood Elastoplastic Model Based on Modulus and Damping Versus Strain ABSTRACT A computer code, RAMBO, is ...

  5. CX-100343 Categorical Exclusion Determination | Department of...

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

    CX-100343 Categorical Exclusion Determination RPM Solar Asset Management Software Award ... Management to develop a cloud based software platform that manages the financial and ...

  6. Paper Title (use style: paper title)

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

    Practical Considerations in Application of Correlation- Based Islanding Detection with Synchrophasors M. Ropp, S. Perlenfein, D. Schutz, C. Mouw Northern Plains Power Technologies Brookings, SD USA michael.ropp@northernplainspower.com S. Gonzalez, J. Neely Sandia National Laboratories Albuquerque, NM USA M. Mills-Price Advanced Energy Industries Bend, OR USA Abstract-The correlation coefficient-based (CCB) method of islanding detection has been shown to be highly effective in detecting islands

  7. CX-100627 Categorical Exclusion Determination | Department of...

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

    Determination Green, stable and earth abundant ionic PV absorbers based on chalcogenide perovskite Award Number: DE-EE0007364 CX(s) Applied: A9, B3.6 Solar Energy Technologies ...

  8. CX-007065: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Slipstream Pilot-Scale Demonstration of a Novel Amine-Based Post-Combustion Technology for Carbon Dioxide Capture CX(s) Applied: B3.6...

  9. Categorical Exclusion Determinations: Massachusetts | Department of Energy

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

    Massachusetts Categorical Exclusion Determinations: Massachusetts Location Categorical Exclusion Determinations issued for actions in Massachusetts. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100664 Categorical Exclusion Determination Physics-Based Interval Data Models to Automate and Scale Home Energy Performance Evaluations Award Number: DE-EE0007571 CX(s) Applied: A9, A11, B5.1 Building Technologies Office Date: 7/14/2016 Location(s): MA Office(s): Golden Field Office May 26, 2016

  10. Categorical Exclusion Determinations: Georgia | Department of Energy

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

    Georgia Categorical Exclusion Determinations: Georgia Location Categorical Exclusion Determinations issued for actions in Georgia. DOCUMENTS AVAILABLE FOR DOWNLOAD May 2, 2016 CX-100596 Categorical Exclusion Determination Energy Savings Performance Contract (ESPC) at Marine Corps Logistics Base Albany (MCLBA), GA - Biomass Steam Turbine Generator Award Number: DE-EE0007461 CX(s) Applied: A9 Federal Energy Management Program Date: 04/13/2016 Location(s): GA Office(s): Golden Field Office March 4,

  11. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G.; Gurary, Alexander I.; Boguslavskiy, Vadim

    2002-01-01

    A method for determining the temperature of a surface upon which a coating is grown using optical pyrometry by correcting Kirchhoff's law for errors in the emissivity or reflectance measurements associated with the growth of the coating and subsequent changes in the surface thermal emission and heat transfer characteristics. By a calibration process that can be carried out in situ in the chamber where the coating process occurs, an error calibration parameter can be determined that allows more precise determination of the temperature of the surface using optical pyrometry systems. The calibration process needs only to be carried out when the physical characteristics of the coating chamber change.

  12. Towards Effective Clustering Techniques for the Analysis of Electric Power Grids

    SciTech Connect (OSTI)

    Hogan, Emilie A.; Cotilla Sanchez, Jose E.; Halappanavar, Mahantesh; Wang, Shaobu; Mackey, Patrick S.; Hines, Paul; Huang, Zhenyu

    2013-11-30

    Clustering is an important data analysis technique with numerous applications in the analysis of electric power grids. Standard clustering techniques are oblivious to the rich structural and dynamic information available for power grids. Therefore, by exploiting the inherent topological and electrical structure in the power grid data, we propose new methods for clustering with applications to model reduction, locational marginal pricing, phasor measurement unit (PMU or synchrophasor) placement, and power system protection. We focus our attention on model reduction for analysis based on time-series information from synchrophasor measurement devices, and spectral techniques for clustering. By comparing different clustering techniques on two instances of realistic power grids we show that the solutions are related and therefore one could leverage that relationship for a computational advantage. Thus, by contrasting different clustering techniques we make a case for exploiting structure inherent in the data with implications for several domains including power systems.

  13. NEPA Determination Complete

    Broader source: Energy.gov [DOE]

    DOE has determined that this proposed project is a major Federal action that may significantly affect the quality of the human environment. To comply with the National Environmental Policy Act ...

  14. Solids mass flow determination

    DOE Patents [OSTI]

    Macko, Joseph E.

    1981-01-01

    Method and apparatus for determining the mass flow rate of solids mixed with a transport fluid to form a flowing mixture. A temperature differential is established between the solids and fluid. The temperature of the transport fluid prior to mixing, the temperature of the solids prior to mixing, and the equilibrium temperature of the mixture are monitored and correlated in a heat balance with the heat capacities of the solids and fluid to determine the solids mass flow rate.

  15. Liquid chromatographic determination of water

    DOE Patents [OSTI]

    Fortier, Nancy E.; Fritz, James S.

    1990-11-13

    A sensitive method for the determination of water in the presence of common interferences is presented. The detection system is based on the effect of water on the equilibrium which results from the reaction aryl aldehydes, such as cinnamaldehyde and methanol in the eluent to form cinnamaldehyde dimethylacetal, plus water. This equilibrium is shifted in a catalytic atmosphere of a hydrogen ion form past column reactor. The extent of the shift and the resulting change in absorbance are proportional to the amount of water present.

  16. Liquid chromatographic determination of water

    DOE Patents [OSTI]

    Fortier, N.E.; Fritz, J.S.

    1990-11-13

    A sensitive method for the determination of water in the presence of common interferences is presented. The detection system is based on the effect of water on the equilibrium which results from the reaction aryl aldehydes, such as cinnamaldehyde and methanol in the eluent to form cinnamaldehyde dimethylacetal, plus water. This equilibrium is shifted in a catalytic atmosphere of a hydrogen ion form past column reactor. The extent of the shift and the resulting change in absorbance are proportional to the amount of water present. 1 fig.

  17. Crystal face temperature determination means

    DOE Patents [OSTI]

    Nason, D.O.; Burger, A.

    1994-11-22

    An optically transparent furnace having a detection apparatus with a pedestal enclosed in an evacuated ampule for growing a crystal thereon is disclosed. Temperature differential is provided by a source heater, a base heater and a cold finger such that material migrates from a polycrystalline source material to grow the crystal. A quartz halogen lamp projects a collimated beam onto the crystal and a reflected beam is analyzed by a double monochromator and photomultiplier detection spectrometer and the detected peak position in the reflected energy spectrum of the reflected beam is interpreted to determine surface temperature of the crystal. 3 figs.

  18. Categorical Exclusion Determinations: Environmental Management...

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

    Consolidated Business Service Center Categorical Exclusion Determinations: Environmental Management Consolidated Business Service Center Categorical Exclusion Determinations issued ...

  19. Determination of a mutational spectrum

    DOE Patents [OSTI]

    Thilly, William G.; Keohavong, Phouthone

    1991-01-01

    A method of resolving (physically separating) mutant DNA from nonmutant DNA and a method of defining or establishing a mutational spectrum or profile of alterations present in nucleic acid sequences from a sample to be analyzed, such as a tissue or body fluid. The present method is based on the fact that it is possible, through the use of DGGE, to separate nucleic acid sequences which differ by only a single base change and on the ability to detect the separate mutant molecules. The present invention, in another aspect, relates to a method for determining a mutational spectrum in a DNA sequence of interest present in a population of cells. The method of the present invention is useful as a diagnostic or analytical tool in forensic science in assessing environmental and/or occupational exposures to potentially genetically toxic materials (also referred to as potential mutagens); in biotechnology, particularly in the study of the relationship between the amino acid sequence of enzymes and other biologically-active proteins or protein-containing substances and their respective functions; and in determining the effects of drugs, cosmetics and other chemicals for which toxicity data must be obtained.

  20. NEPA Determination Form

    National Nuclear Security Administration (NNSA)

    LA NEPA COMPLIANCE DETERMINATION FORM PRID - 09P-0059 V2 Page 1 of 8 Project/Activity Title: TA-3 Substation Replacement Project PRID: 09P-0059 V2 Date: February 16, 2016 Purpose: The proposed demolition and replacement of the Los Alamos National Laboratory's (LANL) Technical Area (TA)-3 electrical power substation is needed to provide reliable and efficient electrical distribution systems with sufficient electrical capacity to support the national security missions. The electrical distribution

  1. Interim Action Determination

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

    Interim Action Determination Processing of Plutonium Materials from the DOE Standard 3013 Surveillance Program in H-Canyon at the Savannah River Site The Department of Energy (DOE) is preparing the Surplus Plutonium Disposition Supplemental Environmental Impact Statement (SPD SEIS, DOE/EIS-0283-S2). DOE is evaluating alternatives for disposition of non-pit plutonium that is surplus to the national security needs of the United States. Although the Deputy Secretary of Energy approved Critical

  2. Crystal face temperature determination means

    DOE Patents [OSTI]

    Nason, Donald O.; Burger, Arnold

    1994-01-01

    An optically transparent furnace (10) having a detection apparatus (29) with a pedestal (12) enclosed in an evacuated ampule (16) for growing a crystal (14) thereon. Temperature differential is provided by a source heater (20), a base heater (24) and a cold finger (26) such that material migrates from a polycrystalline source material (18) to grow the crystal (14). A quartz halogen lamp (32) projects a collimated beam (30) onto the crystal (14) and a reflected beam (34) is analyzed by a double monochromator and photomultiplier detection spectrometer (40) and the detected peak position (48) in the reflected energy spectrum (44) of the reflected beam (34) is interpreted to determine surface temperature of the crystal (14).

  3. Determination of radar MTF

    SciTech Connect (OSTI)

    Chambers, D.

    1994-11-15

    The ultimate goal of the Current Meter Array (CMA) is to be able to compare the current patterns detected with the array with radar images of the water surface. The internal wave current patterns modulate the waves on the water surface giving a detectable modulation of the radar cross-section (RCS). The function relating the RCS modulations to the current patterns is the Modulation Transfer Function (MTF). By comparing radar images directly with co-located CMA measurements the MTF can be determined. In this talk radar images and CMA measurements from a recent experiment at Loch Linnhe, Scotland, will be used to make the first direct determination of MTF for an X and S band radar at low grazing angles. The technical problems associated with comparing radar images to CMA data will be explained and the solution method discussed. The results suggest the both current and strain rate contribute equally to the radar modulation for X band. For S band, the strain rate contributes more than the current. The magnitude of the MTF and the RCS modulations are consistent with previous estimates when the wind is blowing perpendicular to the radar look direction.

  4. Pacific Northwest Smart Grid Demonstration Project

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

    Demonstration Project Western Interconnection Synchrophasor Project Resources & Links Demand Response Energy Efficiency Emerging Technologies BPA has joined 11 utilities, a...

  5. Technology & Innovation

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

    Demonstration Project Western Interconnection Synchrophasor Project Resources & Links Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand...

  6. default

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

    Demonstration Project Western Interconnection Synchrophasor Project Resources & Links Demand Response Energy Efficiency Emerging Technologies What is smart grid and what...

  7. Categorical Exclusion Determinations: Mississippi | Department...

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

    March 30, 2015 CX-013741: Categorical Exclusion Determination Statistical Analysis of ... March 30, 2015 CX-013758: Categorical Exclusion Determination Statistical Analysis of ...

  8. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services

  9. Utility: Noncompliance Determination (2016-SE-42003) | Department of Energy

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

    Noncompliance Determination (2016-SE-42003) Utility: Noncompliance Determination (2016-SE-42003) December 30, 2015 DOE issued a Notice of Noncompliance Determination to Utility Refrigerator finding that commercial refrigeration equipment basic model number PT-R-75-SS-3S-3S-N does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Utility must immediately notify each person (or company) to whom Utility distributed the noncompliant

  10. Victory: Noncompliance Determination (2015-SE-42033) | Department of Energy

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

    Noncompliance Determination (2015-SE-42033) Victory: Noncompliance Determination (2015-SE-42033) August 18, 2015 DOE issued a Notice of Noncompliance Determination to Victory Refrigeration finding that commercial refrigeration equipment basic model number RFS-1D-S1-EW-PT-HD (including each individual model within the basic model) does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Victory must immediately notify each person

  11. Categorical Exclusion Determinations: B1.34 | Department of Energy

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

    4 Categorical Exclusion Determinations: B1.34 Existing Regulations B1.34: Lead-based paint containment, removal, and disposal Containment, removal, and disposal of lead-based paint in accordance with applicable requirements (such as provisions relating to the certification of removal contractors and technicians at 40 CFR part 745, "Lead-Based Paint Poisoning Prevention In Certain Residential Structures"). Previous Regulations Categorical Exclusion Determinations dated before November

  12. Determination of prospective displacement-based gate threshold...

    Office of Scientific and Technical Information (OSTI)

    R.; Beddar, S. Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030 (United States) 62 RADIOLOGY AND NUCLEAR MEDICINE;...

  13. Determination of prospective displacement-based gate threshold...

    Office of Scientific and Technical Information (OSTI)

    Author Affiliations Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030 (United States) Publication Date: 2007-11-15 OSTI...

  14. Categorical Exclusion Determinations: Pennsylvania | Department...

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

    ... August 3, 2015 CX-014051: Categorical Exclusion Determination A Scaling Study of Microbially-Enhanced Coalbed Methane (MECBM): Optimizing Nutrient Delivery for Maximized Methane ...

  15. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  16. Categorical Exclusion Determinations: Nationwide | Department...

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

    ... February 18, 2016 CX-014630: Categorical Exclusion Determination Inspection and Repair of West Hackberry-Sun 42-Inch Crude Oil Pipeline CX(s) Applied: 0 Date: 02182016 ...

  17. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  18. System and method to determine electric motor efficiency nonintrusively

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G.; Harley, Ronald G.

    2011-08-30

    A system and method for nonintrusively determining electric motor efficiency includes a processor programed to, while the motor is in operation, determine a plurality of stator input currents, electrical input data, a rotor speed, a value of stator resistance, and an efficiency of the motor based on the determined rotor speed, the value of stator resistance, the plurality of stator input currents, and the electrical input data. The determination of the rotor speed is based on one of the input power and the plurality of stator input currents. The determination of the value of the stator resistance is based on at least one of a horsepower rating and a combination of the plurality of stator input currents and the electrical input data. The electrical input data includes at least one of an input power and a plurality of stator input voltages.

  19. Categorical Exclusion Determinations: New York | Department of Energy

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

    York Categorical Exclusion Determinations: New York Location Categorical Exclusion Determinations issued for actions in New York. DOCUMENTS AVAILABLE FOR DOWNLOAD June 11, 2016 CX-100627 Categorical Exclusion Determination Green, stable and earth abundant ionic PV absorbers based on chalcogenide perovskite Award Number: DE-EE0007364 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 03/31/2016 Location(s): NY Office(s): Golden Field Office April 6, 2016 CX-100591 Categorical

  20. Islandaire: Noncompliance Determination (2015-SE-43007) | Department of

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

    Energy 7) Islandaire: Noncompliance Determination (2015-SE-43007) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-09ANR1-B, which includes models EZ4209B and EZDR09B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it

  1. Islandaire: Noncompliance Determination (2015-SE-43008) | Department of

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

    Energy 8) Islandaire: Noncompliance Determination (2015-SE-43008) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-129ANR1-B, which includes model EZDR12B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it distributed the

  2. Islandaire: Noncompliance Determination (2015-SE-43009) | Department of

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

    Energy 9) Islandaire: Noncompliance Determination (2015-SE-43009) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-07ANR1-B, which includes model EZDR07B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it distributed the

  3. CX-004010: Categorical Exclusion Determination | Department of Energy

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

    010: Categorical Exclusion Determination CX-004010: Categorical Exclusion Determination Advanced Laser-Based Sensors for Industrial Process Control CX(s) Applied: B3.6, B5.1 Date: 09/14/2010 Location(s): Mountain View, California Office(s): Energy Efficiency and Renewable Energy In Phase III, Los Gatos Research (LGR) will fabricate, deploy, and commercialize two advanced laser based gas sensors for industrial process control monitoring in electric arc furnaces. The first sensor will utilize both

  4. CX-009863: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Production of Coal/Biomass-to-Liquid-Based Jet Fuels from Biomass-Based Feedstocks CX(s) Applied: B3.6 Date: 01/08/2013 Location(s): North Dakota Offices(s): National Energy Technology Laboratory

  5. CX-012694: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Periodic Material–Based Seismic Base Isolators for Small Modular Reactors-University of Houston CX(s) Applied: B3.6Date: 41864 Location(s): TexasOffices(s): Nuclear Energy

  6. CX-010776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Primary Coolant Leak Rate Determination System Equipment Replacement CX(s) Applied: B2.2 Date: 07/24/2013 Location(s): Idaho Offices(s): Nuclear Energy

  7. CX-008905: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Optimizing Accuracy of Determinations of Carbon Dioxide Storage Capacity and Permanence CX(s) Applied: A1, A9, B3.6 Date: 08/29/2012 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  8. CX-012121: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Notice of Preliminary Determination of Energy Savings for ANSI/ASHRAE/IES Standard 90.1-2013 CX(s) Applied: A6 Date: 04/25/2014 Location(s): CX: none Offices(s): Golden Field Office

  9. CX-004264: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Phase II, Determination of Uranium in GroundwaterCX(s) Applied: B3.8Date: 09/27/2010Location(s): Richland, WashingtonOffice(s): Environmental Management, Office of River Protection-Richland Office

  10. CX-010493: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining Distribution Coefficients by Surface-Enhanced Raman Spectroscopy (SERS) CX(s) Applied: B3.6 Date: 05/14/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  11. CX-014390: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    National Environmental Policy Act Determination at Fermi National Accelerator Laboratory CX(s) Applied: B1.15Date: 12/03/2015 Location(s): IllinoisOffices(s): Fermi Site Office

  12. Categorical Exclusion Determinations: Louisiana | Department...

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

    ... April 24, 2014 CX-011646: Categorical Exclusion Determination Rework West Hackberry 36" Crude Oil Pipeline Mainline Valves CX(s) Applied: B1.3 Date: 12102013 Location(s): ...

  13. CX-000768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining the Variability of Continuous Mercury Monitors at Low Mercury LevelsCX(s) Applied: B3.6Date: 02/07/2010Location(s): Grand Forks, North DakotaOffice(s): Fossil Energy, National Energy Technology Laboratory

  14. CX-014511: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Density Determination by Gas Displacement Picnometry CX(s) Applied: B3.6Date: 10/05/2015 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  15. CX-100604 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Miscellaneous Refrigeration Products RIN 1904-AC66 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 05/04/2016 Location(s): Nationwide Office(s): Golden Field Office

  16. CX-100474 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Miscellaneous Refrigeration Products RIN 1904-AC66 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 02/18/2016 Location(s): Nationwide Office(s): Golden Field Office

  17. System and method for determining an ammonia generation rate in a three-way catalyst

    DOE Patents [OSTI]

    Sun, Min; Perry, Kevin L; Kim, Chang H

    2014-12-30

    A system according to the principles of the present disclosure includes a rate determination module, a storage level determination module, and an air/fuel ratio control module. The rate determination module determines an ammonia generation rate in a three-way catalyst based on a reaction efficiency and a reactant level. The storage level determination module determines an ammonia storage level in a selective catalytic reduction (SCR) catalyst positioned downstream from the three-way catalyst based on the ammonia generation rate. The air/fuel ratio control module controls an air/fuel ratio of an engine based on the ammonia storage level.

  18. Gender determination of avian embryo

    DOE Patents [OSTI]

    Daum, Keith A.; Atkinson, David A.

    2002-01-01

    Disclosed is a method for gender determination of avian embryos. During the embryo incubation process, the outer hard shells of eggs are drilled and samples of allantoic fluid are removed. The allantoic fluids are directly introduced into an ion mobility spectrometer (IMS) for analysis. The resulting spectra contain the relevant marker peaks in the positive or negative mode which correlate with unique mobilities which are sex-specific. This way, the gender of the embryo can be determined.

  19. Method and apparatus for determining tensile strength

    DOE Patents [OSTI]

    Ratigan, J.L.

    1982-05-28

    A method and apparatus is described for determining the statistical distribution of apparent tensile strength of rock, the size effect with respect to tensile strength, as well as apparent deformation modulus of both intact and fractured or jointed rock. The method is carried out by inserting a plug of deformable material, such as rubber, in an opening of a specimen to be tested. The deformable material is loaded by an upper and lower platen until the specimen ruptures, whereafter the tensile strength is calculated based on the parameters of the test specimen and apparatus.

  20. Method and apparatus for determining tensile strength

    DOE Patents [OSTI]

    Ratigan, Joe L.

    1984-01-01

    A method and apparatus for determining the statistical distribution of apparent tensile strength of rock, the size effect with respect to tensile strength, as well as apparent deformation modulus of both intact and fractured or jointed rock. The method is carried out by inserting a plug of deformable material, such as rubber, in an opening of a specimen to be tested. The deformable material is loaded by an upper and lower platen until the specimen ruptures, whereafter the tensile strength is calculated based on the parameters of the test specimen and apparatus.

  1. Barron: Noncompliance Determination (2013-SE-5402) | Department...

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

    Noncompliance Determination (2013-SE-5402) Barron: Noncompliance Determination (2013-SE-5402) December 17, 2015 DOE issued a Notice of Noncompliance Determination to Barron ...

  2. Shandong Hongtai: Noncompliance Determination (2016-SE-42010...

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

    Noncompliance Determination (2016-SE-42010) Shandong Hongtai: Noncompliance Determination (2016-SE-42010) January 6, 2016 DOE issued a Notice of Noncompliance Determination to ...

  3. MEANS FOR DETERMINING CENTRIFUGE ALIGNMENT

    DOE Patents [OSTI]

    Smith, W.Q.

    1958-08-26

    An apparatus is presented for remotely determining the alignment of a centrifuge. The centrifage shaft is provided with a shoulder, upon which two followers ride, one for detecting radial movements, and one upon the shoulder face for determining the axial motion. The followers are attached to separate liquid filled bellows, and a tube connects each bellows to its respective indicating gage at a remote location. Vibrations produced by misalignment of the centrifuge shaft are transmitted to the bellows, and tbence through the tubing to the indicator gage. This apparatus is particularly useful for operation in a hot cell where the materials handled are dangerous to the operating personnel.

  4. CX-003510: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sulfur Based Thermochemical Heat Storage for Based Load Concentrated Solar Power GenerationCX(s) Applied: A9, B3.6Date: 08/24/2010Location(s): CaliforniaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  5. CX-012299: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analysis of Best Practices for Deepwater Cementing in Oil-Based Mud and Synthetic-Based Mud CX(s) Applied: A9, A11, B3.6 Date: 05/30/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  6. CX-012300: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analysis of Best Practices for Deepwater Cementing in Oil-Based Mud and Synthetic-Based Mud CX(s) Applied: A9, A11, B3.6 Date: 05/30/2014 Location(s): New Jersey Offices(s): National Energy Technology Laboratory

  7. CX-014425: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Best Practices and Risk Mitigation Measures for Deepwater Cementing in Oil-Based Mud and Synthetic-Based Mud CX(s) Applied: B3.1, B3.16Date: 12/04/2015 Location(s): TexasOffices(s): National Energy Technology Laboratory

  8. CX-100267 Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100267 Categorical Exclusion Determination Next Generation Logistics Systems for Delivering Optimal Biomass Feedstocks to Biorefining Industries in...

  9. CX-100144 Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100144 Categorical Exclusion Determination Solar and Distributed Generation as Key Elements in Meeting Vermont's Comprehensive Energy Plan...

  10. CX-007711: Categorical Exclusion Determination | Department of...

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

    711: Categorical Exclusion Determination CX-007711: Categorical Exclusion Determination Solar Thermochemical Fuel Production via a Novel Low Pressure, Magnetically Stabilized, ...

  11. EA-1835: Environmental Assessment Determination | Department...

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

    35: Environmental Assessment Determination EA-1835: Environmental Assessment Determination Midwest Regional Carbon Sequestration Partnership (MRCSP) Phase II Michigan Basin Project ...

  12. CX-005728: Categorical Exclusion Determination | Department of...

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

    28: Categorical Exclusion Determination CX-005728: Categorical Exclusion Determination Recovery Act: Rural Electric Cooperative Geothermal Development Electric and Agriculture ...

  13. CX-100363 Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100363 Categorical Exclusion Determination Marine Algae Industrialization Consortium (MAGIC): Combining biofuel and high-value bioproducts to...

  14. Categorical Exclusion Determinations: Civilian Radioactive Waste...

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

    Civilian Radioactive Waste Management Categorical Exclusion Determinations: Civilian Radioactive Waste Management Categorical Exclusion Determinations issued by Civilian ...

  15. Categorical Exclusion Determinations: Carlsbad Field Office ...

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

    Carlsbad Field Office Categorical Exclusion Determinations: Carlsbad Field Office Categorical Exclusion Determinations issued by Carlsbad Field Office. DOCUMENTS AVAILABLE FOR ...

  16. Categorical Exclusion Determinations: West Valley Demonstration...

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

    Valley Demonstration Project Categorical Exclusion Determinations: West Valley Demonstration Project Categorical Exclusion Determinations issued by West Valley Demonstration ...

  17. Categorical Exclusion Determinations: North Carolina | Department...

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

    Carolina Categorical Exclusion Determinations: North Carolina Location Categorical Exclusion Determinations issued for actions in North Carolina. DOCUMENTS AVAILABLE FOR DOWNLOAD ...

  18. CX-008738: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Microstructure and Chemical State Changes in Ion-Irradiated Fuels and Structural Components with a High Kinetic Energy Electron Detector – Illinois Institute of Technology CX(s) Applied: B3.6 Date: 05/22/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  19. CX-100558 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Portable Air Conditioners (1904-AD02) RIN 1904-AD02 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 03/03/2016 Location(s): Nationwide Office(s): Golden Field Office

  20. CX-100312 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Withdrawal of Proposed Determination Regarding Energy Conservation Program: Natural Draft Commercial Boilers RIN: 1904-AD01 CX(s) Applied: A5 EERE- Buildings Technology Program Date: 07/20/2015 Location(s): Nationwide Office(s): Golden Field Office

  1. CX-013440: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion Determination to Replace Piping Header at Bryan Mound RWIS and RWIP (BM-MM-1027) CX(s) Applied: B1.3Date: 02/18/2015 Location(s): TexasOffices(s): Strategic Petroleum Reserve Field Office

  2. CX-012693: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Experimental Determination and Mechanistic Modeling of Used Fuel Drying by Vacuum and Gas Circulation for Dry Cask Storage University of South Carolina CX(s) Applied: B3.6Date: 41869 Location(s): South CarolinaOffices(s): Nuclear Energy

  3. CX-000373: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Measurements of 222 Radon, 220 Radon, and Carbon Dioxide Emissions in Natural Carbon Dioxide Fields in Wyoming: Monitoring, Verification, and Analysis Techniques for Determining Gas Transport and Caprock IntegrityCX(s) Applied: A1, A9, B3.6, B3.8Date: 11/20/2009Location(s): Laramie, WyomingOffice(s): Fossil Energy, National Energy Technology Laboratory

  4. CX-002602: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: A9, A11Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  5. CX-002600: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  6. CX-002599: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Berkeley, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  7. CX-002598: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Morris, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  8. CX-002601: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Fridley, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  9. CX-011193: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Categorical Exclusion Determination for Indoor, Small- and Pilot-Scale Research and Development CX(s) Applied: A9, B1.7, B3.6, B3.10, B3.12, B3.15, B5.1, B5.15 Date: 08/05/2013 Location(s): California Offices(s): Berkeley Site Office

  10. CX-100019: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Rare Earths in Geothermal Brines and Evaluation of Potential Extraction Techniques CX(s) Applied: A9, B3.1, B3.6 Date: 08/18/2014 Location(s): California Offices(s): Golden Field Office Technology Office: Geothermal Technologies Award Number: DE-EE0006750

  11. Plasma digital density determining device

    DOE Patents [OSTI]

    Sprott, Julien C.; Lovell, Thomas W.; Holly, Donald J.

    1976-01-01

    The density of a decaying plasma in an electrically conducting enclosure is determined by applying an excitation to the cavity formed by the enclosure and counting digitally the number of resonant frequencies traversed by the combination of the cavity and the decaying plasma.

  12. Time-Localization of Forced Oscillations in Power Systems

    SciTech Connect (OSTI)

    Follum, James D.; Pierre, John W.

    2015-07-26

    In power systems forced oscillations occur, and identification of these oscillations is important for the proper operation of the system. Two of the parameters of interest in analyzing and addressing forced oscillations are the starting and ending points. To obtain estimates of these parameters, this paper proposes a time-localization algorithm based on the geometric analysis of the sample cross-correlation between the measured data and a complex sinusoid at the frequency of the forced oscillation. Results from simulated and measured synchrophasor data demonstrate the algorithm's ability to accurately estimate the starting and ending points of forced oscillations.

  13. Method and system for determining induction motor speed

    DOE Patents [OSTI]

    Parlos, Alexander G.; Bharadwaj, Raj M.

    2004-03-30

    A non-linear, semi-parametric neural network-based adaptive filter is utilized to determine the dynamic speed of a rotating rotor within an induction motor, without the explicit use of a speed sensor, such as a tachometer, is disclosed. The neural network-based filter is developed using actual motor current measurements, voltage measurements, and nameplate information. The neural network-based adaptive filter is trained using an estimated speed calculator derived from the actual current and voltage measurements. The neural network-based adaptive filter uses voltage and current measurements to determine the instantaneous speed of a rotating rotor. The neural network-based adaptive filter also includes an on-line adaptation scheme that permits the filter to be readily adapted for new operating conditions during operations.

  14. CX-012483: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Long-Term Degradation of LSM-Based SOFC Cathodes: Use of a Proven Accelerated Test Regimen CX(s) Applied: B3.6Date: 41862 Location(s): OhioOffices(s): National Energy Technology Laboratory

  15. CX-012478: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Long-Term Degradation of LSM-Based SOFC Cathodes: Use of a Proven Accelerated Test Regimen CX(s) Applied: B3.6Date: 41862 Location(s): OhioOffices(s): National Energy Technology Laboratory

  16. CX-014060: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wireless 3D Nanorod Composite Arrays based High Temp Surface-Acoustic-Wave Sensors CX(s) Applied: A9, B3.6Date: 07/29/2015 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  17. CX-010210: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pt-based Bi-metallic Monolith Catalysts for Partial Upgrading of Microalgae Oil CX(s) Applied: A9, B3.6 Date: 01/08/2013 Location(s): New Jersey Offices(s): Golden Field Office

  18. CX-100247 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Membrane Based Air Conditioning Award Number: DE-EE0007041 CX(s) Applied: A9, B3.6 Building Technologies Office Date: 05/20/2015 Location(s): FL Office(s): Golden Field Office

  19. CX-000493: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    H-Area Hazardous Waste Management Facility Base and Silver Chloride InjectionCX(s) Applied: B6.1Date: 05/28/2009Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  20. CX-002730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Experimental Validation on Novel Chromium-Based High Temperature AlloysCX(s) Applied: A9Date: 06/18/2010Location(s): Baton Rouge, LouisianaOffice(s): Fossil Energy, National Energy Technology Laboratory

  1. CX-005865: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Laboratory Tests in Support of Disodium Silicate Base AmendmentCX(s) Applied: B3.6Date: 03/09/2011Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  2. CX-013828: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Automatic Imagery Data Analysis for Proactive Computer- Based Workflow Management during Nuclear Power Plant Outages - Arizona State University CX(s) Applied: B3.6Date: 06/17/2015 Location(s): IdahoOffices(s): Nuclear Energy

  3. CX-000240: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Condition Based Monitoring for Wind FarmsCX(s) Applied: A9, A11, B3.6Date: 12/17/2009Location(s): Woodstock, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. CX-011259: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Algal-Based Renewable Energy for Nevada CX(s) Applied: A9, B5.15 Date: 09/11/2013 Location(s): Nevada Offices(s): Golden Field Office

  5. CX-013705: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Stable and Efficient White OLEDs Based on a Single Emissive Material CX(s) Applied: B3.6Date: 06/02/2015 Location(s): ArizonaOffices(s): National Energy Technology Laboratory

  6. CX-011083: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal Based Systems- LG Fuel Cell Systems CX(s) Applied: B3.6 Date: 08/27/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  7. CX-011084: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal Based Systems- LG Fuel Cell Systems CX(s) Applied: B3.6 Date: 08/27/2013 Location(s): CX: none Offices(s): National Energy Technology Laboratory

  8. CX-011082: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal Based Systems- LG Fuel Cell Systems CX(s) Applied: B3.6 Date: 08/27/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  9. CX-010781: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.6 Date: 08/21/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  10. CX-011106: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Model-Based Integrated High Penetration Renewables Planning and Control Analysis CX(s) Applied: A9, A11, B3.6 Date: 08/26/2013 Location(s): CX: none Offices(s): Golden Field Office

  11. CX-006469: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    A Geomechanical Model for Gas Shales Based on the Integration of StressCX(s) Applied: A9, A11Date: 08/12/2011Location(s): University Park, PennsylvaniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  12. CX-010598: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Abradable Sealing Materials for Emerging IGCC-Based Turbine Systems CX(s) Applied: B3.6 Date: 07/26/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  13. CX-006772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coal-Based Integrated Gasification Fuel Cell Project: Phase IICX(s) Applied: B3.6Date: 09/16/2011Location(s): Fenton Township, MichiganOffice(s): Fossil Energy, National Energy Technology Laboratory

  14. CX-011549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optical Fiber Based Laser System for Thermophysical Properties at Very High Temperatures CX(s) Applied: B3.6 Date: 11/26/2013 Location(s): Utah Offices(s): Idaho Operations Office

  15. CX-011711: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Commercialization of an Atmospheric Iron-Based Coal Direct CX(s) Applied: A9, B3.6 Date: 01/09/2014 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  16. CX-007947: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Simulated Based Engineering User Center CX(s) Applied: B1.7, B1.15 Date: 02/08/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  17. CX-008222: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Water Based, Critical Flow, Non-Vapor-Compression Cooling Cycle CX(s) Applied: B3.6 Date: 04/30/2012 Location(s): Kansas Offices(s): Golden Field Office

  18. CX-010981: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    High-Throughput Study of Diffusion and Phase Transformation Kinetics of Magnesium-Based Systems... CX(s) Applied: A9 Date: 09/13/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  19. CX-002666: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Plasma Based Nanotechnology Research and Development LaboratoryCX(s) Applied: B3.6Date: 06/03/2010Location(s): New JerseyOffice(s): Princeton Site Office, Science

  20. CX-014611: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Plasma Arc Gasification Based Rare Earth Element Recovery from Coal Fly Ash CX(s) Applied: A9, B3.6Date: 01/21/2016 Location(s): Multiple LocationsOffices(s): National Energy Technology Laboratory

  1. CX-011797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9 Date: 02/03/2014 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  2. CX-012507: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress (Project Extension) CX(s) Applied: A9, A11Date: 41851 Location(s): PennsylvaniaOffices(s): National Energy Technology Laboratory

  3. CX-010782: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9 Date: 08/21/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  4. CX-007422: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Module-Integrated Power Converters Based on Universal Dock CX(s) Applied: A9, B3.6 Date: 12/14/2011 Location(s): Texas Offices(s): Golden Field Office

  5. CX-011442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11/13/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  6. CX-011441: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11/13/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  7. CX-011443: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11/13/2013 Location(s): Alabama Offices(s): National Energy Technology Laboratory

  8. CX-014029: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Model-Based Extracted Water Desalination System for Carbon Sequestration CX(s) Applied: A9, B3.6Date: 08/14/2015 Location(s): New YorkOffices(s): National Energy Technology Laboratory

  9. CX-012678: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimizing Polymer–Grafted Amidoxime-based Adsorbents for Uranium Uptake from Seawater - Georgia Institute of Technology CX(s) Applied: B3.6Date: 41863 Location(s): GeorgiaOffices(s): Nuclear Energy

  10. CX-011544: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Innovative Elution Processes for Recovering Uranium and Transition Metals from Amidoxime-based Sorbents CX(s) Applied: B3.6 Date: 12/03/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  11. CX-011119: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Physics-Based Reliability Models for Supercritical-Carbon Dioxide Turbomachinery Components CX(s) Applied: A9, B3.6 Date: 08/30/2013 Location(s): New York Offices(s): Golden Field Office

  12. CX-014260: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Microalgae-based Platform for the Beneficial Reuse of Carbon Dioxide Emissions from... CX(s) Applied: B3.6Date: 09/03/2015 Location(s): KentuckyOffices(s): National Energy Technology Laboratory

  13. CX-009390: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal-Based Systems - FuelCell Energy (Revised Summary CX) CX(s) Applied: A9, B3.6 Date: 09/13/2012 Location(s): Multiple, Canada Offices(s): National Energy Technology Laboratory

  14. CX-011033: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Novel Non-Carbonate Based Electrolytes for Silicon Anodes CX(s) Applied: B3.6 Date: 09/10/2013 Location(s): Minnesota Offices(s): National Energy Technology Laboratory

  15. CX-011032: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Novel Non-Carbonate Based Electrolytes for Silicon Anodes CX(s) Applied: B3.6 Date: 09/10/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  16. CX-013860: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Identification and Mitigation of Droop Mechanism in GaN-Based LEDs CX(s) Applied: B3.6Date: 06/16/2015 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  17. CX-010612: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microstructure-Sensitive Crystal Viscoplasticity for Ni-Based Superalloys CX(s) Applied: B3.6, B4.4 Date: 07/24/2013 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  18. CX-009385: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Faster Than Real-Time Dynamic Simulation Tool, Facilitating Measurement-Based Control CX(s) Applied: A9 Date: 09/13/2012 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  19. CX-011784: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pressure-Based Inversion and Data Assimilation System (PIDAS) for Carbon Dioxide Leakage Detection CX(s) Applied: B3.1 Date: 02/19/2014 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  20. CX-001692: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    MacDonald Miller Financing Packages for Utility Based Energy Efficient ProjectsCX(s) Applied: B5.1Date: 04/13/2010Location(s): WashingtonOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  1. CX-002308: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Model-Based Flotation SimulatorCX(s) Applied: A9Date: 05/17/2010Location(s): Blacksburg, VirginiaOffice(s): Fossil Energy, National Energy Technology Laboratory

  2. CX-003559: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Model-Based Flotation SimulatorCX(s) Applied: A9Date: 08/25/2010Location(s): Blacksburg, VirginiaOffice(s): Fossil Energy, National Energy Technology Laboratory

  3. CX-010528: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Durability Investigation for Quarternary Phosphonium-based Polymer Hydroxide Exchange Membranes CX(s) Applied: B3.6 Date: 09/18/2012 Location(s): Delaware Offices(s): Advanced Research Projects Agency-Energy

  4. CX-004216: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kirtland Air Force Base Cougar Research SupportCX(s) Applied: B3.3Date: 06/08/2010Location(s): New MexicoOffice(s): Sandia Site Office

  5. CX-013666: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ground-Based Laser Field Experiments CX(s) Applied: B3.11Date: 04/16/2015 Location(s): CaliforniaOffices(s): Lawrence Livermore Site Office

  6. CX-001093: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Finite Volume Based Computer Program for Ground Source Heat Pump SystemCX(s) Applied: A9Date: 03/09/2010Location(s): OhioOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  7. CX-012505: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.6Date: 41851 Location(s): TexasOffices(s): National Energy Technology Laboratory

  8. CX-009261: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Fast Dynamic Simulation-Based Small Signal Stability Assessment and Control CX(s) Applied: A9 Date: 09/12/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory

  9. CX-011397: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Module-Integrated Power Converters Based on Universal Dock CX(s) Applied: A9, B3.6, B5.16 Date: 12/16/2013 Location(s): Texas Offices(s): Golden Field Office

  10. CX-010992: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Polyalkylene Glycol Based Lubricant for Light and Medium Duty Vehicle Axles CX(s) Applied: B3.6, Date: 09/13/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  11. CX-010943: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Polyalkylene Glycol Based Lubricant for Light and Medium Duty Vehicle Axles CX(s) Applied: B3.6 Date: 09/17/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  12. CX-010991: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Polyalkylene Glycol-Based Lubricant for Light and Medium Duty Vehicle Axles CX(s) Applied: B3.6, B5.1 Date: 09/13/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  13. CX-000598: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    25A5311 - Quaternary Phosphonium Based Hydroxide Exchange MembranesCX(s) Applied: B3.6Date: 12/15/2009Location(s): CaliforniaOffice(s): Advanced Research Projects Agency - Energy

  14. CX-100006: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Community-Based PPA Investment Platform & Partnership Program Award Number: DE-EE0006699 CX(s) Applied: A9, A11 Solar Energy Technologies Date: 08/27/2014 Location(s): Pennsylvania Office(s): Golden Field Office

  15. CX-006869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    National Agriculture Based Lubricants CenterCX(s) Applied: A9, B3.6Date: 09/29/2011Location(s): Waterloo, IowaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  16. CX-009375: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Lyapunov Function Based Remedial Action Screening Tool Using Real-Time Data CX(s) Applied: A9 Date: 09/17/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory

  17. CX-001108: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Data Compilation for the National Geothermal Data BaseCX(s) Applied: A9Date: 03/10/2010Location(s): TexasOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  18. CX-001495: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Altus Air Force Base- Second Meteorological TowerCX(s) Applied: B3.1, A9Date: 04/05/2010Location(s): Jackson County, OklahomaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  19. CX-012341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Humboldt Mountain Communication Facility - Asbestos and Lead-based Paint Testing CX(s) Applied: B3.1 Date: 06/19/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  20. CX-012403: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computational Design and Discovery of Ni-Based Alloys and Coatings: Thermodynamic Approaches Validated CX(s) Applied: A9Date: 41884 Location(s): PennsylvaniaOffices(s): National Energy Technology Laboratory

  1. CX-005046: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Evaluating and Commercializing a Solvent Based EOR TechnologyCX(s) Applied: B3.6Date: 01/19/2011Location(s): Santa Barbara County, CaliforniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  2. CX-008012: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wave Glider-Based Passive Acoustic Detection System CX(s) Applied: B3.6, B3.16, Date: 01/04/2012 Location(s): Washington Offices(s): Science, Pacific Northwest Site Office

  3. CX-010894: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Graphene-Based Composite Sensor for Energy Applications CX(s) Applied: B3.6 Date: 06/27/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  4. CX-010639: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Graphene-Based Composite Sensor for Energy Applications CX(s) Applied: B3.6 Date: 06/27/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  5. CX-005624: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Evaluating and Commercializing a Solvent Based Enhanced Oil Recovery TechnologyCX(s) Applied: B5.12Date: 04/13/2011Location(s): Huntington Beach, CaliforniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  6. CX-004915: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    United Technologies Research Center - Water-Based Heating, Ventilation, and Air Conditioning SystemCX(s) Applied: B3.6Date: 08/16/2010Location(s): East Hartford, ConnecticutOffice(s): Advanced Research Projects Agency - Energy

  7. CX-003519: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southern Pine Based Biorefinery CenterCX(s) Applied: A9, B3.6Date: 08/26/2010Location(s): Atlanta, GeorgiaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  8. CX-008528: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Demonstration of Pyrolysis Based Biorefinery Concept for Biopower, Biomaterials and Biochar CX(s) Applied: A9, B3.6, B5.15 Date: 05/21/2012 Location(s): Iowa Offices(s): Golden Field Office

  9. CX-011744: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    University of California, Los Angeles - Safe Aqueous-Based High Performance Electrochemical Energy Storage CX(s) Applied: B3.6 Date: 10/31/2013 Location(s): California Offices(s): Advanced Research Projects Agency-Energy

  10. CX-007062: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Removing Lead Base Paint and Primer from Crane Trolley PlateCX(s) Applied: B3.6Date: 09/01/2011Location(s): Aiken, South CarolinaOffice(s): Environmental Management, National Energy Technology Laboratory

  11. CX-011991: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SoloPower, Inc. Electrodeposition-based Solar Panel Manufacturing Facilities CX(s) Applied: B1.31 Date: 08/15/2011 Location(s): Oregon, California Offices(s): Loan Guarantee Program Office

  12. CX-002265: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Payload 2 Integration and Environmental Testing at Kirtland Air Force BaseCX(s) Applied: B3.6Date: 03/01/2010Location(s): New MexicoOffice(s): NNSA-Headquarters, Sandia Site Office

  13. Determination and optimization of spatial samples for distributed measurements.

    SciTech Connect (OSTI)

    Huo, Xiaoming (Georgia Institute of Technology, Atlanta, GA); Tran, Hy D.; Shilling, Katherine Meghan; Kim, Heeyong (Georgia Institute of Technology, Atlanta, GA)

    2010-10-01

    There are no accepted standards for determining how many measurements to take during part inspection or where to take them, or for assessing confidence in the evaluation of acceptance based on these measurements. The goal of this work was to develop a standard method for determining the number of measurements, together with the spatial distribution of measurements and the associated risks for false acceptance and false rejection. Two paths have been taken to create a standard method for selecting sampling points. A wavelet-based model has been developed to select measurement points and to determine confidence in the measurement after the points are taken. An adaptive sampling strategy has been studied to determine implementation feasibility on commercial measurement equipment. Results using both real and simulated data are presented for each of the paths.

  14. Means of determining extrusion temperatures

    DOE Patents [OSTI]

    McDonald, Robert E.; Canonico, Domenic A.

    1977-01-01

    In an extrusion process comprising the steps of fabricating a metal billet, heating said billet for a predetermined time and at a selected temperature to increase its plasticity and then forcing said heated billet through a small orifice to produce a desired extruded object, the improvement comprising the steps of randomly inserting a plurality of small metallic thermal tabs at different cross sectional depths in said billet as a part of said fabricating step, and examining said extruded object at each thermal tab location for determining the crystal structure at each extruded thermal tab thus revealing the maximum temperature reached during extrusion in each respective tab location section of the extruded object, whereby the thermal profile of said extruded object during extrusion may be determined.

  15. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costas D.; Burgard, Anthony R.; Pharkya, Priti

    2011-09-27

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  16. Range determination for scannerless imaging

    DOE Patents [OSTI]

    Muguira, Maritza Rosa; Sackos, John Theodore; Bradley, Bart Davis; Nellums, Robert

    2000-01-01

    A new method of operating a scannerless range imaging system (e.g., a scannerless laser radar) has been developed. This method is designed to compensate for nonlinear effects which appear in many real-world components. The system operates by determining the phase shift of the laser modulation, which is a physical quantity related physically to the path length between the laser source and the detector, for each pixel of an image.

  17. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costa D; Burgard, Anthony R; Pharkya, Priti

    2013-06-04

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  18. "Non-spectroscopic Method of Determining Gas Constituents through

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

    Rotation; 13-2808-1, Optimization of Efficiency of Internal Combustion Engines via Using Spinning Gas ..--.. Inventors Nathaniel Fisch, Vasily Geyko | Princeton Plasma Physics Lab Non-spectroscopic Method of Determining Gas Constituents through Rotation; 13-2808-1, Optimization of Efficiency of Internal Combustion Engines via Using Spinning Gas ..--.. Inventors Nathaniel Fisch, Vasily Geyko Method of determining gas constituents through rotation is based on different response of different

  19. Record of Categorical Exclusion (CS) Determination, Office of Electricity

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

    Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Program Direction | Department of Energy Program Direction Record of Categorical Exclusion (CS) Determination, Office of Electricity Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Program Direction Based on OE's review of the information concerning the proposal action, the NEPA compliance Officer has determined that the proposed action fits

  20. Record of Categorical Exclusion (CS) Determination, Office of Electricity

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

    Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Workforce Development | Department of Energy Workforce Development Record of Categorical Exclusion (CS) Determination, Office of Electricity Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Workforce Development Based on OE's review of the information concerning the proposal action, the NEPA compliance Officer has determined that the proposed

  1. CX-000293: Categorical Exclusion Determination | Department of Energy

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

    3: Categorical Exclusion Determination CX-000293: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent Technology for Molten Carbonate Fuel Cell - Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/11/2009 Location(s): Oxnard, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially

  2. CX-000294: Categorical Exclusion Determination | Department of Energy

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

    4: Categorical Exclusion Determination CX-000294: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent Technology for Molten Carbonate Fuel Cell- Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/11/2009 Location(s): Golden, Colorado Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially sulfur-free

  3. CX-004195: Categorical Exclusion Determination | Department of Energy

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

    95: Categorical Exclusion Determination CX-004195: Categorical Exclusion Determination Terrestrial Tagging, Tracking and Locating CX(s) Applied: B3.11 Date: 06/14/2010 Location(s): Albuquerque, New Mexico Office(s): Sandia Site Office Sandia National Laboratories (SNL/NM) proposes to develop and test a terrestrial-based Tagging, Tracking, and Locating (TTL) system for Work-for-Others (WFO) customers. The activities would involve development of a TTL system using three or more passive or active

  4. CX-004912: Categorical Exclusion Determination | Department of Energy

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

    912: Categorical Exclusion Determination CX-004912: Categorical Exclusion Determination Architectural Applications -Innovative Building-Integrated Ventilation Enthalpy Recovery CX(s) Applied: B3.6 Date: 08/03/2010 Location(s): Berkeley, California Office(s): Advanced Research Projects Agency - Energy Funding will support laboratory research and bench and pilot-scale testing of a building-integrated, membrane-based enthalpy recovery ventilation system designed to increase the efficiency of vapor

  5. CX-012699: Categorical Exclusion Determination | Department of Energy

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

    699: Categorical Exclusion Determination CX-012699: Categorical Exclusion Determination Extraction of Uranium from Seawater: Design and Testing of a Symbiotic System - Massachusetts Institute of Technology CX(s) Applied: B3.6, B3.16 Date: 41862 Location(s): Massachusetts Offices(s): Nuclear Energy The Massachusetts Institute of Technology proposes to investigate the design details of a symbiotic system in which a uranium harvesting system for mining uranium from seawater is attached to the base

  6. CX-100596 Categorical Exclusion Determination | Department of Energy

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

    6 Categorical Exclusion Determination CX-100596 Categorical Exclusion Determination Energy Savings Performance Contract (ESPC) at Marine Corps Logistics Base Albany (MCLBA), GA - Biomass Steam Turbine Generator Award Number: DE-EE0007461 CX(s) Applied: A9 Federal Energy Management Program Date: 04/13/2016 Location(s): GA Office(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide funding to the Marine Corps Installation Command (MCICOM) in support of the proposed

  7. Categorical Exclusion Determinations: A11 | Department of Energy

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

    1 Categorical Exclusion Determinations: A11 Existing Regulations A11: Technical advice and assistance to organizations Technical advice and planning assistance to international, national, state, and local organizations. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100664 Categorical Exclusion Determination Physics-Based Interval Data Models to Automate and Scale Home Energy Performance Evaluations Award Number: DE-EE0007571 CX(s) Applied: A9, A11, B5.1 Building Technologies Office Date:

  8. Categorical Exclusion Determinations: B4.3 | Department of Energy

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

    3 Categorical Exclusion Determinations: B4.3 Existing Regulations B4.3: Electric power marketing rate changes Rate changes for electric power, power transmission, and other products or services provided by a Power Marketing Administration that are based on a change in revenue requirements if the operations of generation projects would remain within normal operating limits. DOCUMENTS AVAILABLE FOR DOWNLOAD November 20, 2015 CX-014539: Categorical Exclusion Determination Robert Douglas Willis

  9. CX-000292: Categorical Exclusion Determination | Department of Energy

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

    292: Categorical Exclusion Determination CX-000292: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent Technology for Molten Carbonate Fuel Cell - Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/10/2009 Location(s): Wheat Ridge, Colorado Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially

  10. CX-002588: Categorical Exclusion Determination | Department of Energy

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

    588: Categorical Exclusion Determination CX-002588: Categorical Exclusion Determination A Novel Biogas Desulfurization Sorbent Technology for Molten Carbonate Fuel Cell-Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/11/2009 Location(s): Danbury, Connecticut Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially

  11. Perturbing engine performance measurements to determine optimal engine control settings

    DOE Patents [OSTI]

    Jiang, Li; Lee, Donghoon; Yilmaz, Hakan; Stefanopoulou, Anna

    2014-12-30

    Methods and systems for optimizing a performance of a vehicle engine are provided. The method includes determining an initial value for a first engine control parameter based on one or more detected operating conditions of the vehicle engine, determining a value of an engine performance variable, and artificially perturbing the determined value of the engine performance variable. The initial value for the first engine control parameter is then adjusted based on the perturbed engine performance variable causing the engine performance variable to approach a target engine performance variable. Operation of the vehicle engine is controlled based on the adjusted initial value for the first engine control parameter. These acts are repeated until the engine performance variable approaches the target engine performance variable.

  12. System and method to determine electric motor efficiency using an equivalent circuit

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G.

    2015-10-27

    A system and method for determining electric motor efficiency includes a monitoring system having a processor programmed to determine efficiency of an electric motor under load while the electric motor is online. The determination of motor efficiency is independent of a rotor speed measurement. Further, the efficiency is based on a determination of stator winding resistance, an input voltage, and an input current. The determination of the stator winding resistance occurs while the electric motor under load is online.

  13. System and method to determine electric motor efficiency using an equivalent circuit

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G.

    2011-06-07

    A system and method for determining electric motor efficiency includes a monitoring system having a processor programmed to determine efficiency of an electric motor under load while the electric motor is online. The determination of motor efficiency is independent of a rotor speed measurement. Further, the efficiency is based on a determination of stator winding resistance, an input voltage, and an input current. The determination of the stator winding resistance occurs while the electric motor under load is online.

  14. System and method to determine electric motor efficiency using an equivalent circuit

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G

    2015-11-06

    A system and method for determining electric motor efficiency includes a monitoring system having a processor programmed to determine efficiency of an electric motor under load while the electric motor is online. The determination of motor efficiency is independent of a rotor speed measurement. Further, the efficiency is based on a determination of stator winding resistance, an input voltage, and an input current. The determination of the stator winding resistance occurs while the electric motor under load is online.

  15. CX-014694: Categorical Exclusion Determination | Department of Energy

    Office of Environmental Management (EM)

    694: Categorical Exclusion Determination CX-014694: Categorical Exclusion Determination Attenuation-based Sampling for I129 and Tc99 Along Fourmile Branch at the F-Area Seepage Basins CX(s) Applied: B3.1 Date: 12/21/2015 Location(s): South Carolina Offices(s): Savannah River Operations Office Savannah River National Laboratory is conducting an attenuation-based sampling for I129 and Tc99 along Fourmile Branch down-gradient from the F-Area Seepage Basins as part of the Department of Energy EM-12

  16. SPECIAL REREVIEW FINAL DETERMINATION UNCLASSIFIED

    Office of Legacy Management (LM)

    SPECIAL REREVIEW FINAL DETERMINATION UNCLASSIFIED , ?4~0180N SctuAnr P. 0. 00x *a STATION F New YORK, N. Y. IN RLPLY RCFSRTO EID?f A- 43 MS ~-7405 eng-8 ". Subject: Contract No.H-7405 eng-8 with Metal Hydrides Incorporated. MEMORAhDUM to the Files. 1. Reference is made to basi.c communication dated 27 September 1945, Symbol No. EIDM 1%-30-b, requesting certain information with respect to the subject contract. 2. Reference pars,?-raph a. The Government committed to restore Contractor's plant

  17. Shape Determination for Deformed Cavities

    SciTech Connect (OSTI)

    Lee, Lie-Quan; Akcelik, Volkan; Chen, Sheng; Ge, Lixin; Li, Zenghai; Ng, Cho; Xiao, Liling; Ko, Kwok; Ghattas, Omar; /Texas U.

    2006-10-04

    A realistic superconducting RF cavity has its shape deformed comparing to its designed shape due to the loose tolerance in the fabrication process and the frequency tuning for its accelerating mode. A PDE-constrained optimization problem is proposed to determine the deformation of the cavity. A reduce space method is used to solve the PDE-constrained optimization problem where design sensitivities were computed using a continuous adjoint approach. A proof-of-concept example is given in which the deformation parameters of a single cavity-cell with two different types of deformation were computed.

  18. CX-014636: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Micro-encapsulation of PuO2 Surrogates in a Low-water Cement-based Waste Form CX(s) Applied: B3.6Date: 02/29/2016 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  19. CX-100241 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solid Oxide Based Electrolysis and Stack Technology with Ultra-High Electrolysis Current Density and Efficiency Award Number: DE-EE0006961 CX(s) Applied: A9, B3.6 Fuel Cell Technologies Office Date: 05/18/2015 Location(s): CO Office(s): Golden Field Office

  20. CX-011363: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Correlating Thermal, Mechanical, and Electrical Coupling Based Multi-Physics Behavior of Nuclear Materials Through In-situ Measurement CX(s) Applied: B3.6 Date: 10/30/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  1. CX-008923: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Slipstream Pilot-Scale Demonstration of a Novel Amine-Based Post-Combustion Technology for Carbon Dioxide Capture CX(s) Applied: B3.6 Date: 08/24/2012 Location(s): Alabama Offices(s): National Energy Technology Laboratory

  2. CX-004672: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Role-Based Access Control-Driven Least Privilege Architecture for Control SystemsCX(s) Applied: A1, A9, A11Date: 12/08/2010Location(s): Urbana-Champaign, IllinoisOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  3. CX-004671: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Role-Based Access Control-Driven Least Privilege Architecture for Control SystemsCX(s) Applied: A1, A9, A11, B1.2Date: 12/08/2010Location(s): Golden Valley, MinnesotaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  4. CX-007099: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Slipstream Pilot-Scale Demonstration of a Novel Amine-Based Post-Combustion Technology for Carbon Dioxide CaptureCX(s) Applied: A9, A11Date: 10/13/2011Location(s): Germany, Other Location, California, New Jersey, PennsylvaniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  5. CX-004144: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Large Scale Testing, Demonstration and Commercialization of Nanoparticle-based Fuel Cell CoolantCX(s) Applied: B3.6, B5.1Date: 09/14/2010Location(s): Whitehall, PennsylvaniaOffice(s): Energy Efficiency and Renewable Energy

  6. CX-012702: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    An Investigation To Establish Multiphysical Property Dataset of Nuclear Materials Based on In-Situ Observations and Measurements, NEAMS: Nuclear Energy Advanced Modeling and Simulation – Purdue University CX(s) Applied: B3.6Date: 41862 Location(s): IndianaOffices(s): Nuclear Energy

  7. CX-012686: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    An Investigation To Establish Multiphysical Property Dataset of Nuclear Materials Based on In- Situ Observations and Measurements, NEAMS: Nuclear Energy Advanced Modeling and Simulation – Purdue University CX(s) Applied: B3.6Date: 41862 Location(s): IndianaOffices(s): Nuclear Energy

  8. CX-005956: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Development of a Practical Hydrogen Storage System Based on Liquid Organic Hydrogen Carriers and a Homogenous CatalystCX(s) Applied: A9, B3.6Date: 06/06/2011Location(s): HawaiiOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  9. CX-100354 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Module Level Exposure and Evaluation Test for Real-world and Lab-based PV Modules: Common Data and Analytics for Quantitative Cross-correlation and Validation Award Number: DE-EE0007140 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 09/02/2015 Location(s): OH Office(s): Golden Field Office

  10. CX-008207: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Field Evaluation and Validation of Remote Wind Sensing Technologies - Shore-Based and Buoy Mounted Light LIDAR Systems CX(s) Applied: A9, A11, B3.1, B3.16 Date: 03/26/2012 Location(s): New Jersey Offices(s): Golden Field Office

  11. CX-010914: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pilot Testing of a Highly Efficient Pre-Combustion Sorbent-Based Carbon Capture System (SUMMARY Categorical Exclusion (CX)) CX(s) Applied: A9, A11, B3.6 Date: 09/24/2013 Location(s): Multiple States, China, Canada Offices(s): National Energy Technology Laboratory

  12. CX-010947: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Robust and Energy Efficient Dual-Stage Membrane-Based Process for Enhanced Carbon Dioxide (CO2) Recovery CX(s) Applied: B3.6 Date: 09/17/2013 Location(s): Alabama Offices(s): National Energy Technology Laboratory

  13. CX-010948: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Robust and Energy Efficient Dual-Stage Membrane-Based Process for Enhanced Carbon Dioxide (CO2) Recovery CX(s) Applied: A1, A9 Date: 09/17/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  14. CX-010945: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Robust and Energy Efficient Dual-Stage Membrane-Based Process for Enhanced Carbon Dioxide (CO2) Recovery CX(s) Applied: A1, A9, B3.6 Date: 09/17/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  15. CX-010946: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Robust and Energy Efficient Dual-Stage Membrane-Based Process for Enhanced Carbon Dioxide (CO2) Recovery CX(s) Applied: A9, B3.6 Date: 09/17/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  16. CX-012473: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Commercialization of Iron-Based Coal Direct Chemical Looping for Power Prod-Lab & Pilot-Scale Testing CX(s) Applied: A9, B3.6Date: 41870 Location(s): OhioOffices(s): National Energy Technology Laboratory

  17. CX-011806: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Commercialization of an Atmospheric Iron-Based Coal Direct Chemical Looping (CDCL) Process for Power… CX(s) Applied: A9, B3.6 Date: 01/27/2014 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  18. CX-100392 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    PowerScoutTM, a Cloud-Based Customer Acquisition Platform for Distributed Generation Award Number: DE- EE-0007182 CX(s) Applied: A9, A11 Solar Energy Technologies Office Date: 10/22/2015 Location(s): CA Office(s): Golden Field Office

  19. CX-009855: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Development of Geographical Information System-Based Tool for Optimized Fluid Management in Shale Gas Operations CX(s) Applied: A9, A11, B3.6 Date: 01/18/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  20. CX-011403: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Evaluating the Potential for Marine and Hydrokinetic Devices to Become Artificial Reefs of Fish Aggregating Devices Based on Analysis of Surrogates in Tropical, Subtropical and Temperate United States West Coast and Hawaiian Coastal Waters CX(s) Applied: A9 Date: 11/15/2013 Location(s): California, Hawaii Offices(s): Golden Field Office

  1. CX-003319: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Recovery Act - National Aeronautics and Space Administration Solar Electric Propulsion Technology Application Readiness (NSTAR) Automated Meter Reading (AMR) -Based Dynamic PricingCX(s) Applied: A1, A9, A11, B2.2, B5.1Date: 07/30/2010Location(s): Newton, MassachusettsOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  2. CX-000901: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Wind Resource Study at United States Navy Base, Yokosuka, Japan; National Renewable Energy Laboratory Tracking Number 08-015dCX(s) Applied: B3.1Date: 02/23/2010Location(s): ColoradoOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  3. CX-009186: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    (0675-1570) Washington University in St. Louis - Optimal Operation and Management of Energy Storage Systems Based on Real-Time Predictive Modeling and Adaptive Battery Management Techniques CX(s) Applied: B3.6 Date: 09/07/2012 Location(s): Missouri, Colorado Offices(s): Advanced Research Projects Agency-Energy

  4. CX-011575: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Using Ionic Liquids for the Development of Renewable Biopolymer-Based Adsorbents for the Extraction of Uranium from Seawater and Testing Under Marine Conditions CX(s) Applied: B3.6 Date: 11/14/2013 Location(s): Alabama Offices(s): Idaho Operations Office

  5. CX-004973: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Treatment and Beneficial Use of Produced Waters Using a Novel Pervaporation-Based Irrigation TechnologyCX(s) Applied: B3.6Date: 01/11/2011Location(s): Laramie, WyomingOffice(s): Fossil Energy, National Energy Technology Laboratory

  6. CX-007055: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Silicon-Nanowire-Based Lithium-ion Batteries with Doubling Energy DensityCX(s) Applied: B3.6Date: 09/19/2011Location(s): Pawcatuck, ConnecticutOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  7. CX-004444: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metallographic Preparation (Section, Mount, Grind, Polish and Optical Metallography) of a U308 Glass Coated Nickel-BaseCX(s) Applied: B3.6Date: 10/29/2010Location(s): Aiken, South CarolinaOffice(s): Savannah River Operations Office

  8. CX-004790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metallographic Preparation (Section, Mount, Grind, Polish and Optical Metallography) of a U308 (Depleted Uranium) Glass Coated Nickel-BaseCX(s) Applied: B3.6Date: 10/29/2010Location(s): Aiken, South CarolinaOffice(s): Savannah River Operations Office

  9. CX-100154 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low-Cost Bio-Based Carbon Fiber for High-Temperature Processing Award Number: DE-EE0005779 CX(s) Applied: B3.6 Date: 12/17/2014 Location(s): OH Office(s): Golden Field Office

  10. CX-005341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solid State Energy Conversion Alliance Coal-Based Systems - FuelCell EnergyCX(s) Applied: A9, B3.6Date: 03/01/2011Location(s): Alberta, CanadaOffice(s): Fossil Energy, National Energy Technology Laboratory

  11. CX-003805: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Co-Production of Electricity and Hydrogen Using a Novel Iron-Based CatalystCX(s) Applied: A9Date: 09/08/2010Location(s): Decatur, Macon County, IllinoisOffice(s): Fossil Energy, National Energy Technology Laboratory

  12. CX-000265: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Experiment-Based Model for the Chemical Interactions between Geothermal Rocks, Supercritical Carbon Dioxide and WaterCX(s) Applied: A9, B3.6Date: 12/23/2009Location(s): Santa Clara, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  13. CX-008998: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    "Sustainable Manufacturing via Multi-scale Physics-based Process Modeling and Manufacturing-informed Design CX(s) Applied: A9, B3.6 Date: 08/27/2012 Location(s): Minnesota Offices(s): Golden Field Office"

  14. CX-012506: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.1, B3.11Date: 41851 Location(s): West VirginiaOffices(s): National Energy Technology Laboratory

  15. CX-100324 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regenerative Carbonate – and Silicate-Based Thermochemical Energy Storage System for Concentrating Solar Power Award Number: DE-EE0006535 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 08/03/2015 Location(s): NC Office(s): Golden Field Office

  16. CX-001089: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Economizer Based Data Center Liquid Cooling with Advanced Metal InterfacesCX(s) Applied: A9, B3.6Date: 03/04/2010Location(s): Poughkeepsie, New YorkOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  17. CX-011064: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pressure-Based Inversion and Data Assimilation System (PIDAS) for Carbon Dioxide Leakage Detection CX(s) Applied: A1, A9, B3.6 Date: 08/29/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  18. CX-014609: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Novel Membrane and Electrodeposition-Based Separation and Recovery of Rare Earth Elements from Coal Combustion Residues CX(s) Applied: A9, B3.6Date: 01/21/2016 Location(s): Multiple LocationsOffices(s): National Energy Technology Laboratory

  19. CX-002296: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computational Fluid Dynamics (CFD) Analysis Density Separator of an Air-Based Density SeparatorCX(s) Applied: B3.6Date: 05/18/2010Location(s): Lexington, KentuckyOffice(s): Fossil Energy, National Energy Technology Laboratory

  20. CX-006130: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Recovery Act: Development of Low-Cost Bio-Based Phase Change MaterialCX(s) Applied: A11, B2.2, B3.6, B5.1Date: 06/21/2011Location(s): Charlotte, North CarolinaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  1. CX-100088 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Bio-Based, Inexpensive, Noncorrosive, Nonflammable Phenolic Foam for Building Insulation Award Number: DE-EE0006715 CX(s) Applied: A9, B3.6 Date: 8/7/2014 Location(s): Massachusetts Office(s): Golden Field Office

  2. CX-100698 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Novel Infiltration Diagnostics based on Laser-line Scanning and Infrared Temperature Field Imaging Award Number: DE-EE0007686 CX(s) Applied: A9, B3.6 Buildings Technology Office Date: 8/15/2016 Location(s): IA Office(s): Golden Field Office

  3. CX-004909: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    University of Notre Dame - Compact, Efficient Air Conditioning with Ionic Liquid Based RefrigerantCX(s) Applied: B3.6Date: 08/03/2010Location(s): LaGrange, IndianaOffice(s): Advanced Research Projects Agency - Energy

  4. CX-002743: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ab-Initio Modeling of Thermomechanical Properties of Molybdenum-Based Composite AlloysCX(s) Applied: B3.6, A9Date: 06/17/2010Location(s): Kansas City, MissouriOffice(s): Fossil Energy, National Energy Technology Laboratory

  5. CX-007689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Georgia Tech Research Corporation- Prosumer-Based Distributed Autonomous Cyber-Physical Architecture for Ultra-Reliable Green Electricity Internetworks CX(s) Applied: A9 Date: 11/18/2011 Location(s): Georgia Offices(s): Advanced Research Projects Agency-Energy

  6. CX-010554: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Yale University- Power Generation from Waste Heat with Closed Loop Membrane-Based System CX(s) Applied: B3.6 Date: 04/18/2013 Location(s): Connecticut, Colorado Offices(s): Advanced Research Projects Agency-Energy

  7. CX-003343: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Recovery Act: Experiment-Based Model for the Chemical Interactions between Geothermal Rocks, Supercritical Carbon Dioxide and WaterCX(s) Applied: A9, B3.6Date: 08/05/2010Location(s): Palo Alto, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  8. CX-010932: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Energy Density Lithium (Li)-ion Cells for Electric Vehicles (EV) Based on Novel, High Voltage Cathode Material Systems CX(s) Applied: B3.6 Date: 09/18/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  9. CX-010933: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Energy Density Lithium (Li)-ion Cells for Electric Vehicles (EV) Based on Novel, High Voltage Cathode Material Systems CX(s) Applied: B3.6 Date: 09/18/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  10. CX-000763: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solid State Energy Conversion Alliance Coal-Based Systems - Siemens EnergyCX(s) Applied: A1, A9, B3.6Date: 02/08/2010Location(s): Pittsburgh, PennsylvaniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  11. CX-100332 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Demonstration of High-Temperature Calcium-Based Thermochemical Storage System for use with Concentrating Solar Power Facilities Award Number: DE-EE0007116 CX(s) Applied: A9, B3.6, B5.17 Solar Energy Technologies Office Date: 08/13/2015 Location(s): NC Office(s): Golden Field Office

  12. CX-100502 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regenerative Carbonate- and Silicate-Based Thermochemical Energy Storage System for Concentrating Solar Power Award Number: DE-EE0006535 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 03/20/2014 Location(s): NC Office(s): Golden Field Office

  13. CX-001615: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Columbus City American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant (S) Act 8-Home Energy Efficiency Base load Reduction ProgramCX(s) Applied: A9, A11, B5.1Date: 04/07/2010Location(s): Columbus, OhioOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  14. CX-004340: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Center of Excellence in Watershed Applications and Technology-Based Economic Revitalization (WATER)CX(s) Applied: B1.6, B1.15, B5.1Date: 10/05/2010Location(s): IllinoisOffice(s): Science, Chicago Office

  15. CX-100411 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    AGENT-BASED COORDINATION SCHEME FOR PV INTEGRATION (ABC4PV) Award Number: DE-EE-0007165 CX(s) Applied: A9, A11 Solar Energy Technologies Office Date: 11/18/2015 Location(s): Pennsylvania Office(s): Golden Field Office

  16. CX-010576: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pacific Northwest National Laboratory- Genset Heat Recovery Adsorption Chiller for Navy Forward Operations Bases CX(s) Applied: B3.6 Date: 04/11/2013 Location(s): Washington, Oregon, Georgia Offices(s): Advanced Research Projects Agency-Energy

  17. CX-005323: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Subtask 2.2 Marine Corps Base Hawaii Site: National Marine Renewable Energy Center in HawaiiCX(s) Applied: A9, B3.1Date: 02/24/2011Location(s): Oahu, HawaiiOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  18. CX-010189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Treatment and Beneficial Reuse of Produced Waters Using a Novel Pervaporation-Based Irrigation Technique CX(s) Applied: A9, A11, B3.6 Date: 04/16/2013 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  19. CX-004437: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Single-Well Low Temperature Carbon Dioxide-Based Engineered Geothermal SystemCX(s) Applied: A9, B3.1Date: 11/16/2010Location(s): ArizonaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  20. CX-003809: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Renewable Energy-Roadmap to a Bio-Based Economy for MississippiCX(s) Applied: A9, A11, B5.1Date: 09/15/2010Location(s): MississippiOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  1. CX-005276: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Small-Scale Solid Oxide Fuel Cell Demonstration using Bio-based and Fossil FuelsCX(s) Applied: B3.6Date: 02/18/2011Location(s): Highland Heights, OhioOffice(s): Fossil Energy, National Energy Technology Laboratory

  2. CX-009263: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Design for High Performance Sustainable Building Modifications Based on E4 Report - PGH CX(s) Applied: B1.15, B1.23, B2.2 Date: 09/12/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  3. CX-009262: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Design for High Performance Sustainable Building Modifications Based on E4 Report - MGN CX(s) Applied: B1.15, B1.23, B2.2 Date: 09/12/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  4. CX-007700: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    University of Utah - A New Generation High Density Thermal Battery Based on Advanced Metal Hydrides CX(s) Applied: A9, B3.6 Date: 11/18/2011 Location(s): Utah, California, Michigan Offices(s): Advanced Research Projects Agency-Energy

  5. CX-000982: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Pennsylvania Green Energy Works! Target Grant - Biogas - Native Energy Bio-Digestion-based Combined Heat and PowerCX(s) Applied: B1.15, B5.1Date: 02/19/2010Location(s): Westmoreland County, PennsylvaniaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  6. CX-001635: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar American Institute Incubator - Semprius - Massively Parallel Microcell-Based Module ArrayCX(s) Applied: B3.6Date: 04/08/2010Location(s): Durham, North CarolinaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  7. CX-013811: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling and Validation of Irradiation Damage in Ni-based Alloys for Long-Term LWR Applications -Oregon State University - Oregon State University CX(s) Applied: B3.6Date: 06/25/2015 Location(s): IdahoOffices(s): Nuclear Energy

  8. CX-100523 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Boron-based hydrogen storage: ternary borides and beyond Award Number: DE-EE0006630 CX(s) Applied: A9, B3.6 Fuel Cells Technology Office Date: 07/30/2014 Location(s): CA Office(s): Golden Field Office

  9. Determining the Overpotential for a Molecular Electrocatalyst

    SciTech Connect (OSTI)

    Appel, Aaron M.; Helm, Monte L.

    2014-02-07

    “The additional potential (beyond the thermodynamic requirement) needed to drive a reaction at a certain rate is called the overpotential.”1 Over the last decade there has been considerable interest in the design and testing of molecular electrocatalysis for the interconversion of renewable energy and chemical fuels.2-5 One of the primary motivations for such research is the replacement of expensive and rare precious metal catalysts, such as platinum, with cheaper, more abundant metals.2,6-8 To become competitive with current electrocatalytic energy conversion technologies, new catalysts must be robust, fast, and energy-efficient. This last feature, the energy-efficiency, is dependent upon the overpotential. For molecular catalysts, the determination and reporting of overpotentials can be complicated by the frequent dependence on assumptions, especially when working in nonaqueous solvents. As overpotentials become lower, the meaningful comparison of molecular catalysts will require improved accuracy and precision. The intended purpose of this viewpoint is to provide a clear and concise description of overpotential and recommendation for its determination in molecular electrocatalysis. This material is based upon work supported as part of the Center for Molecular Electrocatalysis, an Energy Frontier Research Center funded by the US Department of Energy, Office of Science, Office of Basic Energy Sciences.

  10. MASS DETERMINATION STUDIES OF 104 LARGE ASTEROIDS

    SciTech Connect (OSTI)

    Zielenbach, William

    2011-10-15

    The techniques described in an earlier paper were used to determine masses of 104 asteroids by the method of asteroid-asteroid gravitational interaction. For each of the 104 perturbers, 4 large sets of test particles selected by different criteria were used to calculate 4 mass values from a weighted mean of individual results within each set. The sheer number of test particles and observations ameliorates the effects of random observational errors and the type of systematic errors known to have affected specific observatories at specific times. It also reduces the effect of mismodeled attractions by perturbers other than the one being estimated, because the various test particles are affected to different degrees and in different directions. For most of the perturbers that have been analyzed by others, the results of this study agree reasonably well with values published in the past decade, giving credence to the approach. Thirty-eight of the results appear to be the first published masses for the respective asteroids, and 12 are the first determinations based on asteroid-asteroid interactions. Unrealistic and/or negative masses were obtained for some perturbers. Causes for this phenomenon are discussed and various means to obtain reasonable numbers are evaluated.

  11. Determination of leakage areas in nuclear piping

    SciTech Connect (OSTI)

    Keim, E.

    1997-04-01

    For the design and operation of nuclear power plants the Leak-Before-Break (LBB) behavior of a piping component has to be shown. This means that the length of a crack resulting in a leak is smaller than the critical crack length and that the leak is safely detectable by a suitable monitoring system. The LBB-concept of Siemens/KWU is based on computer codes for the evaluation of critical crack lengths, crack openings, leakage areas and leakage rates, developed by Siemens/KWU. In the experience with the leak rate program is described while this paper deals with the computation of crack openings and leakage areas of longitudinal and circumferential cracks by means of fracture mechanics. The leakage areas are determined by the integration of the crack openings along the crack front, considering plasticity and geometrical effects. They are evaluated with respect to minimum values for the design of leak detection systems, and maximum values for controlling jet and reaction forces. By means of fracture mechanics LBB for subcritical cracks has to be shown and the calculation of leakage areas is the basis for quantitatively determining the discharge rate of leaking subcritical through-wall cracks. The analytical approach and its validation will be presented for two examples of complex structures. The first one is a pipe branch containing a circumferential crack and the second one is a pipe bend with a longitudinal crack.

  12. CX-003164: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  13. CX-001319: Categorical Exclusion Determination | Department of...

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

    319: Categorical Exclusion Determination CX-001319: Categorical Exclusion Determination Grants for State-Sponsored Renewable Energy and Energy Efficiency Projects - New Jersey ...

  14. CX-003520: Categorical Exclusion Determination | Department of...

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

    20: Categorical Exclusion Determination CX-003520: Categorical Exclusion Determination Pontiac High School Geothermal CX(s) Applied: B5.1 Date: 08262010 Location(s): Pontiac, ...

  15. CX-100635 Categorical Exclusion Determination | Department of...

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

    5 Categorical Exclusion Determination CX-100635 Categorical Exclusion Determination Enabling Automation for <0.10W High-Efficiency Kerfless Wafers Manufactured in the U.S. Award ...

  16. CX-001198: Categorical Exclusion Determination | Department of...

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

    98: Categorical Exclusion Determination CX-001198: Categorical Exclusion Determination Recovery Act: 1010 Avenue of the Arts - New School and Performing Arts Theater CX(s) Applied: ...

  17. CX-013565: Categorical Exclusion Determination | Department of...

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

    65: Categorical Exclusion Determination CX-013565: Categorical Exclusion Determination Analytical Methods for Radiochemical Measurements CX(s) Applied: B3.6 Date: 04162015 ...

  18. CX-008670: Categorical Exclusion Determination | Department of...

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

    670: Categorical Exclusion Determination CX-008670: Categorical Exclusion Determination ITN Energy Systems - Low-cost Electrochromic Film on Plastic for Net-zero Energy Building ...

  19. CX-003936: Categorical Exclusion Determination | Department of...

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

    36: Categorical Exclusion Determination CX-003936: Categorical Exclusion Determination Hawaii Energy Sustainability Program (Subtask 2.3.1: Hydrogen Research and Development) CX(s) ...

  20. CX-012557: Categorical Exclusion Determination | Department of...

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

    557: Categorical Exclusion Determination CX-012557: Categorical Exclusion Determination Electrodepositon of Molybdenum, NickelMolybdenum alloy, Cesium, and Strontium CX(s) Applied: ...

  1. Secretarial Determination Pursuant to USEC Privatization Act...

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

    Secretarial Determination Pursuant to USEC Privatization Act for the Sale or Transfer of Low-Enriched Uranium Secretarial determination regarding the potential impacts of the ...

  2. CX-001199: Categorical Exclusion Determination | Department of...

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

    9: Categorical Exclusion Determination CX-001199: Categorical Exclusion Determination Tennessee Energy Efficient Schools Initiative Ground Source Heat Pump Program CX(s) Applied: ...

  3. CX-000703: Categorical Exclusion Determination | Department of...

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

    03: Categorical Exclusion Determination CX-000703: Categorical Exclusion Determination Maryland - Clean Energy Economic Development Initiative (CEEDI) CX(s) Applied: A1, A9, A11, ...

  4. CX-010117: Categorical Exclusion Determination | Department of...

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

    10117: Categorical Exclusion Determination CX-010117: Categorical Exclusion Determination Analytical Methods for Radiochemical Measurements CX(s) Applied: B3.6 Date: 03282013 ...

  5. CX-010510: Categorical Exclusion Determination | Department of...

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

    510: Categorical Exclusion Determination CX-010510: Categorical Exclusion Determination Rapid Freeform Sheet Metal Forming: Technology Development and System Verification CX(s) ...

  6. CX-004024: Categorical Exclusion Determination | Department of...

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

    24: Categorical Exclusion Determination CX-004024: Categorical Exclusion Determination Backside Contact Multijunction Solar Cells for High Concentration Applications CX(s) Applied: ...

  7. CX-100275 Categorical Exclusion Determination | Department of...

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

    75 Categorical Exclusion Determination CX-100275 Categorical Exclusion Determination High Performance Building Envelope Assemblies Award Number: DE- EE0007054, 7059, 7060 CX(s) ...

  8. CX-004247: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004247: Categorical Exclusion Determination Carolina Blue Skies Initiative CX(s) Applied: A1, B5.1 Date: 10142010 Location(s): Indian Trail,...

  9. CX-005689: Categorical Exclusion Determination | Department of...

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

    CX-005689: Categorical Exclusion Determination Joint Inversion of Electrical and Seismic ... Determination Time-lapse Joint Inversion of Geophysical Data and its Applications ...

  10. Categorical Exclusion Determinations: Golden Field Office | Department...

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

    ... June 11, 2016 CX-100630 Categorical Exclusion Determination Interfacial Work Function ... May 26, 2016 CX-100621 Categorical Exclusion Determination Linear Fresnel Reflector Award ...

  11. Categorical Exclusion Determinations: New Jersey | Department...

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

    Jersey Categorical Exclusion Determinations: New Jersey Location Categorical Exclusion Determinations issued for actions in New Jersey. DOCUMENTS AVAILABLE FOR DOWNLOAD March 7, ...

  12. Categorical Exclusion Determinations: Pantex Site Office | Department...

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

    March 18, 2015 CX-013480: Categorical Exclusion Determination Lightning Mapping Array ... December 27, 2013 CX-011714: Categorical Exclusion Determination Lightning Mapping Array ...

  13. CX-100421 Categorical Exclusion Determination | Department of...

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

    21 Categorical Exclusion Determination CX-100421 Categorical Exclusion Determination Wastewater Treatment Plant Grant - Marion Utilities FOA Number: DE-FOA-0001479 CX(s) Applied: ...

  14. Categorical Exclusion Determinations: Indiana | Department of...

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

    January 8, 2016 CX-100447 Categorical Exclusion Determination Wastewater Treatment Grant - ... January 8, 2016 CX-100446 Categorical Exclusion Determination Wastewater Treatment Grant - ...

  15. CX-006491: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006491: Categorical Exclusion Determination Photovoltaic Manufacturing Consortium CX(s) Applied: B3.6 Date: 09012011 Location(s): Florida...

  16. CX-007867: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  17. CX-100676 Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    6 Categorical Exclusion Determination CX-100676 Categorical Exclusion Determination Human-in-the-loop Sensing and Control for Commercial Building Energy Efficiency and Occupant ...

  18. Scalettar_UCDavis_Determination.pdf

    National Nuclear Security Administration (NNSA)

    California, Davis for scientific research related to the Spectroscopic and Nuclear Magnetic Resonance Studies of Screening in Compressed Novel Magnets: Rare Earth and Fe-based Compounds. The PI is Richard Scalettar. The objectives of this project are an investigation of several classes of magnetic materials, rare earths and their compounds, heavy fermions, and iron-pnictide superconductors, which exhibit many unusual and potentially important properties. Their tools will combine experimental

  19. DETERMINATION OF SPECIFIC NEUTRONIC REACTIVITY

    DOE Patents [OSTI]

    Dessauer, G.

    1960-05-10

    A method is given for production-line determination of the specific neutronic reactivity of such objects as individual nuclear fuel or neutron absorber elements and is notable for rapidity and apparatus simplicity. The object is incorporated in a slightly sub-critical chain fission reactive assembly having a discrete neutron source, thereby establishing a K/sub eff/ within the crucial range of 0.95 to 0.995. The range was found to afford, uniquely, flux- transient damped response in a niatter of seconds simultaneously with acceptable analytical sensitivity. The resulting neutron flux measured at a situs spaced from both object and source within the assembly serves as a calibrable indication of said reactivity.

  20. Crystal structure determination of Efavirenz

    SciTech Connect (OSTI)

    Popeneciu, Horea Dumitru, Ristoiu; Tripon, Carmen Borodi, Gheorghe Pop, Mihaela Maria

    2015-12-23

    Needle-shaped single crystals of the title compound, C{sub 14}H{sub 9}ClF{sub 3}NO{sub 2}, were obtained from a co-crystallization experiment of Efavirenz with maleic acid in a (1:1) ratio, using methanol as solvent. Crystal structure determination at room temperature revealed a significant anisotropy of the lattice expansion compared to the previously reported low-temperature structure. In both low- and room temperature structures the cyclopropylethynyl fragment in one of the asymmetric unit molecules is disordered. While at low-temperature only one C atom exhibits positional disorder, at room temperature the disorder is present for two C atoms of the cyclopropane ring.

  1. Determination of Thermoelectric Module Efficiency A Survey

    SciTech Connect (OSTI)

    Wang, Hsin; McCarty, Robin; Salvador, James R.; Yamamoto, Atsushi; Konig, Jan

    2014-01-01

    The development of thermoelectrics (TE) for energy conversion is in the transition phase from laboratory research to device development. There is an increasing demand to accurately determine the module efficiency, especially for the power generation mode. For many thermoelectrics, the figure of merit, ZT, of the material sometimes cannot be fully realized at the device level. Reliable efficiency testing of thermoelectric modules is important to assess the device ZT and provide the end-users with realistic values on how much power can be generated under specific conditions. We conducted a general survey of efficiency testing devices and their performance. The results indicated the lack of industry standards and test procedures. This study included a commercial test system and several laboratory systems. Most systems are based on the heat flow meter method and some are based on the Harman method. They are usually reproducible in evaluating thermoelectric modules. However, cross-checking among different systems often showed large errors that are likely caused by unaccounted heat loss and thermal resistance. Efficiency testing is an important area for the thermoelectric community to focus on. A follow-up international standardization effort is planned.

  2. Procedure for plutonium determination using Pu(VI) spectra

    SciTech Connect (OSTI)

    Walker, L.F.; Temer, D.J.; Jackson, D.D.

    1996-09-01

    This document describes a simple spectrophotometric method for determining total plutonium in nitric acid solutions based on the spectrum of Pu(VI). Plutonium samples in nitric acid are oxidized to Pu(VI) with Ce(IV) and the net absorbance at the 830 nm peak is measured.

  3. Determination of linear optics functions from TBT data

    SciTech Connect (OSTI)

    Alexahin, Y.; Gianfelice-Wendt, E.; /Fermilab

    2006-05-01

    A method for evaluation of coupled optics functions, detection of strong perturbing elements, determination of BPM calibration errors and tilts using turn-by-turn (TBT) data is presented as well as the new version of the Hamiltonian perturbation theory of betatron oscillations the method is based upon. An example of application of the considered method to the Tevatron is given.

  4. Westinghouse Lighting: Noncompliance Determination (2010-CE-09/1001)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Westinghouse Lighting Corporation finding that model F40T12/CWE (Westinghouse product code 07521000), a general service fluorescent lamp, and model 15GLOBE/65/2 (Westinghouse product code 3800400), a medium base compact fluorescent lamp, do not comport with the energy conservation standards.

  5. NEPA Determination FY16 | Department of Energy

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

    NEPA Determination FY16 NEPA Determination FY16 The document below is the State Energy Program''s NEPA Determination for Fiscal Year 2016. NEPA Determination FY16 (233.8 KB) More Documents & Publications EECBG Guidance SEP Guidance EA-1972: Final Environmental Assessment

  6. 2015 Secretarial Determination | Department of Energy

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

    5 Secretarial Determination 2015 Secretarial Determination On May 1, 2015, the Secretary of Energy determined that continued uranium transfers for cleanup services at the Portsmouth Gaseous Diffusion Plant and for down-blending of highly-enriched uranium to low-enriched uranium will not have an adverse material impact on the domestic uranium mining, conversion, or enrichment industry ("2015 Secretarial Determination"). This Determination covers continued transfers at the rates

  7. Ballistic projectile trajectory determining system

    DOE Patents [OSTI]

    Karr, Thomas J.

    1997-01-01

    A computer controlled system determines the three-dimensional trajectory of a ballistic projectile. To initialize the system, predictions of state parameters for a ballistic projectile are received at an estimator. The estimator uses the predictions of the state parameters to estimate first trajectory characteristics of the ballistic projectile. A single stationary monocular sensor then observes the actual first trajectory characteristics of the ballistic projectile. A comparator generates an error value related to the predicted state parameters by comparing the estimated first trajectory characteristics of the ballistic projectile with the observed first trajectory characteristics of the ballistic projectile. If the error value is equal to or greater than a selected limit, the predictions of the state parameters are adjusted. New estimates for the trajectory characteristics of the ballistic projectile are made and are then compared with actual observed trajectory characteristics. This process is repeated until the error value is less than the selected limit. Once the error value is less than the selected limit, a calculator calculates trajectory characteristics such a the origin and destination of the ballistic projectile.

  8. Ballistic projectile trajectory determining system

    DOE Patents [OSTI]

    Karr, T.J.

    1997-05-20

    A computer controlled system determines the three-dimensional trajectory of a ballistic projectile. To initialize the system, predictions of state parameters for a ballistic projectile are received at an estimator. The estimator uses the predictions of the state parameters to estimate first trajectory characteristics of the ballistic projectile. A single stationary monocular sensor then observes the actual first trajectory characteristics of the ballistic projectile. A comparator generates an error value related to the predicted state parameters by comparing the estimated first trajectory characteristics of the ballistic projectile with the observed first trajectory characteristics of the ballistic projectile. If the error value is equal to or greater than a selected limit, the predictions of the state parameters are adjusted. New estimates for the trajectory characteristics of the ballistic projectile are made and are then compared with actual observed trajectory characteristics. This process is repeated until the error value is less than the selected limit. Once the error value is less than the selected limit, a calculator calculates trajectory characteristics such a the origin and destination of the ballistic projectile. 8 figs.

  9. Reporting Requirements for In-Transit Gas | Department of Energy

    Energy Savers [EERE]

    Projects Now Available | Department of Energy Report on Synchrophasor Technologies and Their Deployment in Recovery Act Projects Now Available Report on Synchrophasor Technologies and Their Deployment in Recovery Act Projects Now Available August 15, 2013 - 10:48am Addthis The Office of Electricity Delivery and Energy Reliability has released a new report that explains synchrophasor technologies and how they can be used to improve the efficiency, reliability, and resiliency of grid

  10. EPICS BASE

    Energy Science and Technology Software Center (OSTI)

    002230MLTPL00 Experimental Physics and Industrial Control System BASE http://www.aps.anl.gov/epics

  11. Recovery Act | Department of Energy

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

    the Grid into the 21st Century Learn about synchrophasors and how they are helping grid operators keep power flowing reliably to American homes and businesses. April 15,...

  12. Testimony of Patricia A. Hoffman Assistant Secretary for Office...

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

    ... For example, DOE-OE has made key investments in the area of synchrophasor technology, which reduces grid vulnerabilities by providing timely and accurate power outage information ...

  13. Assistant Secretary for Office of Electricity Delivery and Energy...

    Energy Savers [EERE]

    ... For example, DOE-OE has made key investments in the area of synchrophasor technology, which reduces grid vulnerabilities by providing timely and accurate power outage information ...

  14. Testimony of Assistant Secretary Patricia Hoffman Office of Electricit...

    Office of Environmental Management (EM)

    ... For example, DOE-OE has made key investments in the area of synchrophasor technology, which reduces grid vulnerabilities by providing timely and accurate power outage information ...

  15. [DOCUMENT TITLE

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

    synchronized to give a more precise and comprehensive view of a broad transmission geography as compared with conventional technology. Synchrophasors enable a better indication...

  16. Duke Energy Carolinas, LLC Smart Grid Project | Open Energy Informatio...

    Open Energy Info (EERE)

    grid operators' ability to visualize and manage the transmission system, improving reliability and grid operations. Equipment Synchrophasor...

  17. News & Blog | Department of Energy

    Office of Environmental Management (EM)

    Transmission Synchrophasor Technology and the DOE The U.S. Department of Energy's Microgrid Initiative Bridging the Gaps on Prepaid Utility Service News & Blog Blog Archive News ...

  18. DOE Announces Award Selections for Academic-Industry Collaboration...

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

    ... DOE share 199,978; recipient share 142,160. Virginia Polytechnic Institute and State University (Blacksburg, VA): Data Mining and Playback of Hybrid Synchrophasor Data for ...

  19. Non-destructive method for determining neutron exposure

    DOE Patents [OSTI]

    Gold, R.; McElroy, W.N.

    1983-11-01

    A non-destructive method for determination of neutron exposure in an object, such as a reactor pressure vessel, is based on the observation of characteristic gamma-rays emitted by activation products in the object by using a unique continuous gamma-ray spectrometer. The spectrometer views the object through appropriate collimators to determine the absolute emission rate of these characteristic gamma-rays, thereby ascertaining the absolute activity of given activation products in the object. These data can then be used to deduce the spatial and angular dependence of neutron exposure at regions of interest within the object.

  20. CX-100664 Categorical Exclusion Determination | Department of Energy

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

    4 Categorical Exclusion Determination CX-100664 Categorical Exclusion Determination Physics-Based Interval Data Models to Automate and Scale Home Energy Performance Evaluations Award Number: DE-EE0007571 CX(s) Applied: A9, A11, B5.1 Building Technologies Office Date: 7/14/2016 Location(s): MA Office(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide federal funding to Fraunhofer USA, Inc. to develop, demonstrate, and validate a remote energy performance

  1. CX-100745 Categorical Exclusion Determination | Department of Energy

    Office of Environmental Management (EM)

    5 Categorical Exclusion Determination CX-100745 Categorical Exclusion Determination GaAsP/Si Tandem Solar Cells: Pathway to Low-Cost, High-Efficiency Photovoltaics Award Number: DE-EE0007539 CX(s) Applied: A9, B3.6, B3.15 Solar Energy Technologies Office Date: 8/11/2016 Location(s): OH Office(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide federal funding to The Ohio State University (OSU) to increase the efficiency of crystalline Si-based tandem solar cells

  2. CX-011107: Categorical Exclusion Determination | Department of Energy

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

    07: Categorical Exclusion Determination CX-011107: Categorical Exclusion Determination High Efficiency Thin Film Fe2SiS4 and Fe2GeS4-based Cells Prepared from Low-Cost Solution CX(s) Applied: B3.6 Date: 08/12/2013 Location(s): Delaware Offices(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide federal funding to Delaware State University to conduct laboratory scale research and development in existing facilities. CX-011107.pdf (445.45 KB) More Documents &

  3. CX-011118: Categorical Exclusion Determination | Department of Energy

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

    18: Categorical Exclusion Determination CX-011118: Categorical Exclusion Determination Faith-Based Institutional Demonstration and Crowdsource Funding CX(s) Applied: A9, A11, B5.1 Date: 08/21/2013 Location(s): New York Offices(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide federal funding to BlocPower to develop an online platform and marketplace that will provide for crowd sourced, risk tolerant microfinance of energy efficiency retrofits in undeserved

  4. CX-014220: Categorical Exclusion Determination | Department of Energy

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

    220: Categorical Exclusion Determination CX-014220: Categorical Exclusion Determination Zeolite Membrane Reactor for Pre-Combustion Carbon Dioxide Capture CX(s) Applied: A1, A9, B3.6 Date: 09/23/2015 Location(s): Arizona Offices(s): National Energy Technology Laboratory Bench-scale research and testing of a membrane reactor concept for combined water-gas-shift and hydrogen separation for simulated and real coal-based syngas at 10 kilowatt scale. Document(s) Available for Download CX-014220.pdf

  5. CX-100249 Categorical Exclusion Determination | Department of Energy

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

    9 Categorical Exclusion Determination CX-100249 Categorical Exclusion Determination Low Cost Electrochemical Compressors Utilizing Green Refrigerants for HVAC Applications Award Number: DE-EE0007040 CX(s) Applied: A9, B3.6 Building Technologies Office Date: 05/19/2015 Location(s): DE Office(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide federal funding to Xergy Inc to develop and build a scalable 5000 BTU/hr electrochemical compressor (ECC) based HVAC system

  6. CX-100292 Categorical Exclusion Determination | Department of Energy

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

    2 Categorical Exclusion Determination CX-100292 Categorical Exclusion Determination Integrated Design: A High Performance Solution for Affordable Housing Award Number: DE-EE0007055 CX(s) Applied: A9, A11, B3.1, B5.1 Building Technologies Office Date: 06/22/2015 Location(s): NY Office(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide federal funding to The Levy Partnership, Inc. to provide a fundamentally new method of residential building design based on a

  7. Categorical Exclusion Determinations: Intelligence and Counterintelligence

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

    | Department of Energy Intelligence and Counterintelligence Categorical Exclusion Determinations: Intelligence and Counterintelligence Categorical Exclusion Determinations issued by Intelligence and Counterintelligence. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  8. Categorical Exclusion Determinations: Western Area Power Administration |

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

    Department of Energy Administration Categorical Exclusion Determinations: Western Area Power Administration Categorical Exclusion Determinations issued by Western Area Power Administration. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  9. CX-006929: Categorical Exclusion Determination | Department of...

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

    929: Categorical Exclusion Determination CX-006929: Categorical Exclusion Determination Florida-City-Gainesville CX(s) Applied: A9, B1.32, B2.5, B5.1 Date: 09272011 Location(s): ...

  10. CX-003374: Categorical Exclusion Determination | Department of...

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

    374: Categorical Exclusion Determination CX-003374: Categorical Exclusion Determination Installation of Energy Management Equipment CX(s) Applied: B1.4, B2.2, B5.1 Date: 08122010 ...

  11. CX-001187: Categorical Exclusion Determination | Department of...

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

    87: Categorical Exclusion Determination CX-001187: Categorical Exclusion Determination Recovery Act: Blaine School District Geothermal Project CX(s) Applied: A9, A11, B3.1 Date: ...

  12. CX-100193 Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100193 Categorical Exclusion Determination Installation of Solar Panels at Municipal Owned Facilities Award Number: DE-EE0003195 CX(s) Applied: B5.1...

  13. CX-100587 Categorical Exclusion Determination | Department of...

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

    7 Categorical Exclusion Determination CX-100587 Categorical Exclusion Determination H2 Refuel H-Prize Selection of Finalist Award Number: NA CX(s) Applied: A9 Fuel Cells Technology ...

  14. CX-100317 Categorical Exclusion Determination | Department of...

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

    7 Categorical Exclusion Determination CX-100317 Categorical Exclusion Determination Solar Hot Water Project in Greenburgh, NY Award Number: DE-EE0003193 CX(s) Applied: B5.16...

  15. Categorical Exclusion Determinations: Energy Technology Engineering Center

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

    | Department of Energy Energy Technology Engineering Center Categorical Exclusion Determinations: Energy Technology Engineering Center Categorical Exclusion Determinations issued by Energy Technology Engineering Center. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  16. Categorical Exclusion Determinations: Health, Safety, and Security |

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

    Department of Energy Health, Safety, and Security Categorical Exclusion Determinations: Health, Safety, and Security Categorical Exclusion Determinations issued by Health, Safety, and Security. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  17. NREL Programmatic NEPA Determinations | Department of Energy

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

    Programmatic NEPA Determinations NREL Programmatic NEPA Determinations The U.S. Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy has developed five Programmatic NEPA Determinations (PND) to address routine activities and ongoing research conducted at National Renewable Energy Laboratory (NREL) facilities. These determinations were conducted as part of a joint DOE and NREL NEPA Enhancement Project that was developed to help streamline the NEPA process for activities

  18. Categorical Exclusion Determinations: Kansas | Department of Energy

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

    Kansas Categorical Exclusion Determinations: Kansas Location Categorical Exclusion Determinations issued for actions in Kansas. DOCUMENTS AVAILABLE FOR DOWNLOAD February 26, 2015 CX-013396: Categorical Exclusion Determination Field Demonstration of Chemical Flooding of the Trembley Oilfield, Reno County, Kansas CX(s) Applied: A9, B3.6 Date: 02/26/2015 Location(s): Kansas Offices(s): National Energy Technology Laboratory January 26, 2015 CX-100179 Categorical Exclusion Determination Wind Energy

  19. Categorical Exclusion Determinations: Kentucky | Department of Energy

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

    Kentucky Categorical Exclusion Determinations: Kentucky Location Categorical Exclusion Determinations issued for actions in Kentucky. DOCUMENTS AVAILABLE FOR DOWNLOAD March 4, 2016 CX-100532 Categorical Exclusion Determination 5m/W Solar/Photovoltaic Array on Abandoned Landfill #5 Award Number: DE-EE0006623 CX(s) Applied: B5.16 Solar Energy Technologies Office Date: 07/11/2014 Location(s): KY Office(s): Golden Field Office March 4, 2016 CX-100532 Categorical Exclusion Determination 5m/W

  20. Categorical Exclusion Determinations: Maine | Department of Energy

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

    Maine Categorical Exclusion Determinations: Maine Location Categorical Exclusion Determinations issued for actions in Maine. DOCUMENTS AVAILABLE FOR DOWNLOAD July 24, 2015 CX-014069: Categorical Exclusion Determination Integrated Harsh Environment Wireless Microwave Acoustic Sensors for FE Applications CX(s) Applied: A9, B3.6 Date: 07/24/2015 Location(s): Maine Offices(s): National Energy Technology Laboratory April 29, 2015 CX-100230 Categorical Exclusion Determination Advanced Energy

  1. Categorical Exclusion Determinations: Maryland | Department of Energy

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

    Maryland Categorical Exclusion Determinations: Maryland Location Categorical Exclusion Determinations issued for actions in Maryland. DOCUMENTS AVAILABLE FOR DOWNLOAD June 12, 2016 CX-100642 Categorical Exclusion Determination Structural Support of Windows in Walls with Continuous Insulation Award Number: DE-EE0007574 CX(s) Applied: A9, B3.6 Building Technologies Office Date: 6/2/2016 Location(s): MD Office(s): Golden Field Office June 12, 2016 CX-100641 Categorical Exclusion Determination

  2. Categorical Exclusion Determinations: Montana | Department of Energy

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

    Montana Categorical Exclusion Determinations: Montana Location Categorical Exclusion Determinations issued for actions in Montana. DOCUMENTS AVAILABLE FOR DOWNLOAD April 29, 2016 CX-100602 Categorical Exclusion Determination Chippewa Cree Tribe Deployment of Clean Energy Solar PV Project Award Number: DE-IE0000047 CX(s) Applied: A9, A11, B5.16 Office of Indian Energy Date: 04/29/2016 Location(s): MT Office(s): Golden Field Office October 15, 2015 CX-014384: Categorical Exclusion Determination

  3. Categorical Exclusion Determinations: Natural Gas Regulation | Department

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

    of Energy Natural Gas Regulation Categorical Exclusion Determinations: Natural Gas Regulation Categorical Exclusion Determinations issued by Natural Gas Regulation. DOCUMENTS AVAILABLE FOR DOWNLOAD May 25, 2016 CX-200007 Categorical Exclusion Determination Cheniere Marketing, LLC CX(s) Applied: B5.7 Date: 05/25/2016 Location(s): Texas Office(s): Fossil Energy, Natural Gas Regulation May 18, 2016 CX-200008 Categorical Exclusion Determination Flint Hills Resources, LP CX(s) Applied: B5.7 Date:

  4. Categorical Exclusion Determinations: Tennessee | Department of Energy

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

    Tennessee Categorical Exclusion Determinations: Tennessee Location Categorical Exclusion Determinations issued for actions in Tennessee. DOCUMENTS AVAILABLE FOR DOWNLOAD April 28, 2016 CX-014746: Categorical Exclusion Determination NEPA 4752, Depleted Uranium Technology Testing for the Uranium Processing Facility CX(s) Applied: B3.6 Date: 04/28/2016 Location(s): Tennessee Offices(s): Y-12 Site Office April 4, 2016 CX-014731: Categorical Exclusion Determination Agent Operations Eastern Command

  5. Categorical Exclusion Determinations: Virginia | Department of Energy

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

    Virginia Categorical Exclusion Determinations: Virginia Location Categorical Exclusion Determinations issued for actions in Virginia. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100658 Categorical Exclusion Determination Hydrogen Storage System Cost Assessment Award Number: DE-EE0007601 CX(s) Applied: A9 Fuel Cell Technologies Office Date: 7/12/2016 Location(s): VA Office(s): Golden Field Office July 20, 2016 CX-100657 Categorical Exclusion Determination Hydrogen Production and Delivery

  6. Categorical Exclusion Determinations: Wisconsin | Department of Energy

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

    Wisconsin Categorical Exclusion Determinations: Wisconsin Location Categorical Exclusion Determinations issued for actions in Wisconsin. DOCUMENTS AVAILABLE FOR DOWNLOAD March 8, 2016 CX-014588: Categorical Exclusion Determination Affordable Rankine Cycle Waste Heat Recovery for Heavy Duty Trucks CX(s) Applied: B3.6 Date: 03/08/2016 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory March 7, 2016 CX-100549 Categorical Exclusion Determination The Grow Solar Partnership Award

  7. Categorical Exclusion Determinations: Wyoming | Department of Energy

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

    Wyoming Categorical Exclusion Determinations: Wyoming Location Categorical Exclusion Determinations issued for actions in Wyoming. DOCUMENTS AVAILABLE FOR DOWNLOAD June 12, 2016 CX-100640 Categorical Exclusion Determination U.S. Forest Service Pacific Northwest Region Photovoltaic Systems Award Number: DE-EE0007459 CX(s) Applied: A9, B5.16 Federal Energy Management Program Date: 6/2/2016 Location(s): WY Office(s): Golden Field Office August 6, 2015 CX-014042: Categorical Exclusion Determination

  8. CX-012586: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-012586: Categorical Exclusion Determination FabricationMaintenance Shop and Environmental Test Activities in the SRNL Nonproliferation Technologies Section Engineering ...

  9. Record of Categorical Exclusion (CX) Determination: National...

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

    National Electric Transmission Congestion Study Record of Categorical Exclusion (CX) ... More Documents & Publications Record of Categorical Exclusion (CS) Determination, Office ...

  10. CX-010511: Categorical Exclusion Determination | Department of...

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

    CX-010511: Categorical Exclusion Determination Mississippi State University Sustainable ... to the Mississippi State University Sustainable Energy Research Center to perform ...

  11. Categorical Exclusion Determinations | National Nuclear Security...

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

    Categorical Exclusion Determinations 8252016, Tribal Colleges and Universities Advanced Manufacturing Initiative 6212016, Outdoor Unmanned Aerial Systems (UAS) Flights and ...

  12. Categorical Exclusion Determinations: Alaska | Department of Energy

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

    Alaska Categorical Exclusion Determinations: Alaska Location Categorical Exclusion Determinations issued for actions in Alaska. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100663 Categorical Exclusion Determination Pitka's Point/Saint Mary's Wind Energy Construction Project Award Number: DE-EE0000035 CX(s) Applied: A9 Office of Indian Energy Date: 7/14/2016 Location(s): AK Office(s): Golden Field Office May 19, 2016 CX-100617 Categorical Exclusion Determination The Vacuum Sanitation Energy

  13. Categorical Exclusion Determinations: Arizona | Department of Energy

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

    Arizona Categorical Exclusion Determinations: Arizona Location Categorical Exclusion Determinations issued for actions in Arizona. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100662 Categorical Exclusion Determination Thermally Conductive Backsheets (TCB) for Reduced Operating Temperatures Award Number: DE-EE0007138 CX(s) Applied: A9, B3.6 Building Technologies Office Date: 7/12/2016 Location(s): AZ Office(s): Golden Field Office July 20, 2016 CX-100660 Categorical Exclusion Determination

  14. Categorical Exclusion Determinations: Arkansas | Department of Energy

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

    Arkansas Categorical Exclusion Determinations: Arkansas Location Categorical Exclusion Determinations issued for actions in Arkansas. DOCUMENTS AVAILABLE FOR DOWNLOAD May 19, 2016 CX-100612 Categorical Exclusion Determination One-Step Super Emitters for High Efficiency Solar Cells Award Number: DE-EE0007191 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 05/2/2016 Location(s): AR Office(s): Golden Field Office August 28, 2015 CX-014269: Categorical Exclusion Determination

  15. Categorical Exclusion Determinations: Colorado | Department of Energy

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

    Colorado Categorical Exclusion Determinations: Colorado Location Categorical Exclusion Determinations issued for actions in Colorado. DOCUMENTS AVAILABLE FOR DOWNLOAD July 5, 2016 CX-100650 Categorical Exclusion Determination Device Architecture for Next-Generation CdTe PV Award Number: DE-EE0007543 CX(s) Applied: A9, B3.6 Solar Energy Technology Office Date: 6/21/2016 Location(s): CO Office(s): Golden Field Office June 13, 2016 CX-100643 Categorical Exclusion Determination NWTC Diesel Storage

  16. Categorical Exclusion Determinations: Environmental Management | Department

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

    of Energy Categorical Exclusion Determinations: Environmental Management Categorical Exclusion Determinations issued by Environmental Management. DOCUMENTS AVAILABLE FOR DOWNLOAD October 13, 2011 CX-006923: Categorical Exclusion Determination Design and Install a Modification to the HB-Line Exhaust Fan Dampers CX(s) Applied: B2.5 Date: 10/13/2011 Location(s): Aiken, South Carolina Office(s): Environmental Management October 13, 2011 CX-006920: Categorical Exclusion Determination Install

  17. Categorical Exclusion Determinations: Florida | Department of Energy

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

    Florida Categorical Exclusion Determinations: Florida Location Categorical Exclusion Determinations issued for actions in Florida. DOCUMENTS AVAILABLE FOR DOWNLOAD June 11, 2016 CX-100633 Categorical Exclusion Determination Single-junction Organic Solar Cells with >15% Efficiency Award Number: DE-EE0007362 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 4/6/2016 Location(s): FL Office(s): Golden Field Office June 11, 2016 CX-100647 Categorical Exclusion Determination Enabling

  18. Categorical Exclusion Determinations: Hawaii | Department of Energy

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

    Hawaii Categorical Exclusion Determinations: Hawaii Location Categorical Exclusion Determinations issued for actions in Hawaii. DOCUMENTS AVAILABLE FOR DOWNLOAD June 12, 2016 CX-100638 Categorical Exclusion Determination Comprehensive analysis of Hawaii's geothermal potential through Play Fairway Award Number: DE-EE0006729 CX(s) Applied: A9, B3.1 Geothermal Technologies Office Date: 6/2/2016 Location(s): HI Office(s): Golden Field Office May 2, 2016 CX-100598 Categorical Exclusion Determination

  19. Categorical Exclusion Determinations: Idaho Operations Office | Department

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

    of Energy Idaho Operations Office Categorical Exclusion Determinations: Idaho Operations Office Categorical Exclusion Determinations issued by Idaho Operations Office. DOCUMENTS AVAILABLE FOR DOWNLOAD May 26, 2015 CX-013669: Categorical Exclusion Determination Advanced Test Reactor 2A Loop Chemistry Control CX(s) Applied: B3.6 Date: 05/26/2015 Location(s): Idaho Offices(s): Idaho Operations Office May 20, 2015 CX-013673: Categorical Exclusion Determination Advanced Test Reactor Complex

  20. Categorical Exclusion Determinations: Idaho | Department of Energy

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

    Idaho Categorical Exclusion Determinations: Idaho Location Categorical Exclusion Determinations issued for actions in Idaho. DOCUMENTS AVAILABLE FOR DOWNLOAD March 2, 2016 CX-014557: Categorical Exclusion Determination Critical Infrastructure Test Range Complex (CITRC) High Frequency Test Bed Expansion CX(s) Applied: B1.15 Date: 03/02/2016 Location(s): Idaho Offices(s): Nuclear Energy March 2, 2016 CX-014558: Categorical Exclusion Determination B27-601 and B8-601 Emergency Generator Replacement

  1. Alternative methods to determine headwater benefits

    SciTech Connect (OSTI)

    Bao, Y.S.; Perlack, R.D.; Sale, M.J.

    1997-11-10

    In 1992, the Federal Energy Regulatory Commission (FERC) began using a Flow Duration Analysis (FDA) methodology to assess headwater benefits in river basins where use of the Headwater Benefits Energy Gains (HWBEG) model may not result in significant improvements in modeling accuracy. The purpose of this study is to validate the accuracy and appropriateness of the FDA method for determining energy gains in less complex basins. This report presents the results of Oak Ridge National Laboratory`s (ORNL`s) validation of the FDA method. The validation is based on a comparison of energy gains using the FDA method with energy gains calculated using the MWBEG model. Comparisons of energy gains are made on a daily and monthly basis for a complex river basin (the Alabama River Basin) and a basin that is considered relatively simple hydrologically (the Stanislaus River Basin). In addition to validating the FDA method, ORNL was asked to suggest refinements and improvements to the FDA method. Refinements and improvements to the FDA method were carried out using the James River Basin as a test case.

  2. Categorical Exclusion Determinations: NNSA-Proliferation Detection |

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

    Department of Energy Proliferation Detection Categorical Exclusion Determinations: NNSA-Proliferation Detection Categorical Exclusion Determinations issued by NNSA-Proliferation Detection. DOCUMENTS AVAILABLE FOR DOWNLOAD September 17, 2010 CX-004080: Categorical Exclusion Determination Fisk University Nonproliferation Grant CX(s) Applied: B3.6 Date: 09/17/2010 Location(s): Tennessee Office(s): NNSA-Proliferation Detection

  3. Categorical Exclusion Determinations: Advanced Technology Vehicles

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

    Manufacturing Loan Program | Department of Energy Technology Vehicles Manufacturing Loan Program Categorical Exclusion Determinations: Advanced Technology Vehicles Manufacturing Loan Program Categorical Exclusion Determinations issued by Advanced Technology Vehicles Manufacturing Loan Program. DOCUMENTS AVAILABLE FOR DOWNLOAD September 6, 2011 CX-006488: Categorical Exclusion Determination Chrysler Group LLC, Revised Specific Project Application 2, Retooling, Reequipping and Engineering

  4. Structural determination of intact proteins using mass spectrometry

    DOE Patents [OSTI]

    Kruppa, Gary; Schoeniger, Joseph S.; Young, Malin M.

    2008-05-06

    The present invention relates to novel methods of determining the sequence and structure of proteins. Specifically, the present invention allows for the analysis of intact proteins within a mass spectrometer. Therefore, preparatory separations need not be performed prior to introducing a protein sample into the mass spectrometer. Also disclosed herein are new instrumental developments for enhancing the signal from the desired modified proteins, methods for producing controlled protein fragments in the mass spectrometer, eliminating complex microseparations, and protein preparatory chemical steps necessary for cross-linking based protein structure determination.Additionally, the preferred method of the present invention involves the determination of protein structures utilizing a top-down analysis of protein structures to search for covalent modifications. In the preferred method, intact proteins are ionized and fragmented within the mass spectrometer.

  5. Determination of the CKM Element V(Ub)

    SciTech Connect (OSTI)

    Fortin, Dominique; /Victoria U.

    2007-04-06

    The precise determination of the CKM matrix element |V{sub ub}| is crucial in testing the Standard Model mechanism for CP violation. From a sample of 88 million B{bar B} pairs collected with the BABAR detector, charmless semileptonic B decays are selected using simultaneous requirements on the electron energy, E{sub e}, and the invariant mass squared of the electron-neutrino pair, q{sup 2}. The partial branching fraction, unfolded for detector effects, is determined in a region of the q{sup 2}-E{sub e} plane where the dominating semileptonic decays to charm mesons are highly suppressed. Theoretical calculations based on the Heavy Quark Expanion allows for a determination of |V{sub ub}| = (3.95 {+-} 0.27{sub -0.42}{sup +0.58} {+-} 0.25) x 10{sup -3}, where the errors represent experimental, heavy quark parameters and theoretical uncertainties, respectively.

  6. Record of Categorical Exclusion (CS) Determination, Office of Electricity

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

    Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Interoperability Standards and Framework (EISA 1305) | Department of Energy Interoperability Standards and Framework (EISA 1305) Record of Categorical Exclusion (CS) Determination, Office of Electricity Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Interoperability Standards and Framework (EISA 1305) Based on OE's review of the information

  7. Record of Categorical Exclusion (CS) Determination, Office of Electricity

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

    Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Smart Grid Investment Grant Program (EISA 1306) | Department of Energy Smart Grid Investment Grant Program (EISA 1306) Record of Categorical Exclusion (CS) Determination, Office of Electricity Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Smart Grid Investment Grant Program (EISA 1306) Based on OE's review of the information concerning the

  8. Record of Categorical Exclusion (CS) Determination, Office of Electricity

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

    Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Smart Grid Investment Grant Program (EISA 1306) | Department of Energy Smart Grid Investment Grant Program (EISA 1306) Record of Categorical Exclusion (CS) Determination, Office of Electricity Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Smart Grid Investment Grant Program (EISA 1306) Based on OE's review of the information concerning the

  9. Microsoft Word - OST-15-002-Old-AOWC-Determination

    National Nuclear Security Administration (NNSA)

    HEDP 12-001-015 National Nuclear Security Administration Categorical Exclusion Determination Form Proposed Action Title: Old AOWC Rebuild Project Program or Field Office: NNSA/OST Location(s) (City/County/State): Kirtland Air Force Base, Albuquerque, NM Proposed Action Description: The National Nuclear Security Administration (NNSA) Office of Secure Transportation (OST) proposes to demolish eight temporary, modular structures at the Old Agent Operations Western Command (AOWC) and build a new

  10. Categorical Exclusion Determinations: Illinois | Department of Energy

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

    Illinois Categorical Exclusion Determinations: Illinois Location Categorical Exclusion Determinations issued for actions in Illinois. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100656 Categorical Exclusion Determination Improving reliability and reducing cost in CdTe photovoltaics via grain boundary engineering Award Number: DE-EE0007545 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 7/12/2016 Location(s): IL Office(s): Golden Field Office April 6, 2016 CX-100589

  11. Categorical Exclusion Determinations: Lawrence Livermore Site Office |

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

    Department of Energy Lawrence Livermore Site Office Categorical Exclusion Determinations: Lawrence Livermore Site Office Categorical Exclusion Determinations issued by Lawrence Livermore Site Office. DOCUMENTS AVAILABLE FOR DOWNLOAD February 29, 2016 CX-014555: Categorical Exclusion Determination Livermore Site Heating, Ventilation and Air Conditioning Modernization CX(s) Applied: B1.3, B1.4, B1.11 Date: 02/29/2016 Location(s): California Offices(s): Lawrence Livermore Site Office December

  12. Categorical Exclusion Determinations: Loan Guarantee Program Office |

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

    Department of Energy Loan Guarantee Program Office Categorical Exclusion Determinations: Loan Guarantee Program Office Categorical Exclusion Determinations issued by Loan Guarantee Program Office. DOCUMENTS AVAILABLE FOR DOWNLOAD February 22, 2013 CX-011970: Categorical Exclusion Determination Tuscarora Phase II Geothermal Observation Wells CX(s) Applied: B3.7 Date: 02/22/2013 Location(s): Nevada Offices(s): Loan Guarantee Program Office May 29, 2012 CX-012201: Categorical Exclusion

  13. Categorical Exclusion Determinations: Michigan | Department of Energy

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

    Michigan Categorical Exclusion Determinations: Michigan Location Categorical Exclusion Determinations issued for actions in Michigan. DOCUMENTS AVAILABLE FOR DOWNLOAD March 3, 2016 CX-100561 Categorical Exclusion Determination Current Energy Harnessing using Synergistic Kinematics of Schools of Fish-Shaped Bodies Award Number: DE-EE0006780 CX(s) Applied: A9, B5.25 Water Power Program Date: 03/03/2016 Location(s): MI Office(s): Golden Field Office February 29, 2016 CX-100551 Categorical Exclusion

  14. Categorical Exclusion Determinations: Missouri | Department of Energy

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

    Missouri Categorical Exclusion Determinations: Missouri Location Categorical Exclusion Determinations issued for actions in Missouri. DOCUMENTS AVAILABLE FOR DOWNLOAD March 7, 2016 CX-100535 Categorical Exclusion Determination Large Scale GSHP as Alternative Energy for American Farmers: Technical Demonstration & Business Approach Award Number: DE-EE0002824 CX(s) Applied: A9, B5.15 Buildings Technology Office Date: 07/24/2014 Location(s): MO Office(s): Golden Field Office February 26, 2016

  15. Categorical Exclusion Determinations: Naval Nuclear Propulsion Program |

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

    Department of Energy Naval Nuclear Propulsion Program Categorical Exclusion Determinations: Naval Nuclear Propulsion Program Categorical Exclusion Determinations issued by Naval Nuclear Propulsion Program. DOCUMENTS AVAILABLE FOR DOWNLOAD September 25, 2015 CX-014279: Categorical Exclusion Determination Lower Level Guard Post Replacement Project CX(s) Applied: B1.11, B1.15, B2.2 Date: 09/25/2015 Location(s): New York Offices(s): Naval Nuclear Propulsion Program July 6, 2015 CX-013878:

  16. Categorical Exclusion Determinations: Nebraska | Department of Energy

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

    Nebraska Categorical Exclusion Determinations: Nebraska Location Categorical Exclusion Determinations issued for actions in Nebraska. DOCUMENTS AVAILABLE FOR DOWNLOAD June 2, 2015 CX-013920: Categorical Exclusion Determination Box Butte-Chadron 115 Kilovolt Transmission Line Structure Replacement Project, Dawes County, CO CX(s) Applied: B1.3 Date: 06/02/2015 Location(s): Nebraska Offices(s): Western Area Power Administration-Rocky Mountain Region January 29, 2015 CX-013921: Categorical Exclusion

  17. Categorical Exclusion Determinations: Nevada | Department of Energy

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

    Nevada Categorical Exclusion Determinations: Nevada Location Categorical Exclusion Determinations issued for actions in Nevada. DOCUMENTS AVAILABLE FOR DOWNLOAD April 4, 2016 CX-100588 Categorical Exclusion Determination Fleet Services EV Charging Station, Grant Sawyer State Office Bldg Award Number: DE-EE0006992 CX(s) Applied: B5.23 Weatherization and Intergovernmental Programs Office Date: 04/04/2016 Location(s): NV Office(s): Golden Field Office March 31, 2016 CX-100599 Categorical Exclusion

  18. Categorical Exclusion Determinations: Ohio | Department of Energy

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

    Ohio Categorical Exclusion Determinations: Ohio Location Categorical Exclusion Determinations issued for actions in Ohio. DOCUMENTS AVAILABLE FOR DOWNLOAD June 11, 2016 CX-100630 Categorical Exclusion Determination Interfacial Work Function Modifiers in PV: a potentially disruptive science for extreme lifetime performance Award Number: DE-EE0007360 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 4/6/2016 Location(s): OH Office(s): Golden Field Office June 8, 2016 CX-014603:

  19. Categorical Exclusion Determinations: Oregon | Department of Energy

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

    Oregon Categorical Exclusion Determinations: Oregon Location Categorical Exclusion Determinations issued for actions in Oregon. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100665 Categorical Exclusion Determination Model Validation and Site Characterization for Early Deployment Marine Hydrokinetic (MHK) Sites and Establishment of Wave Classification Scheme - Wave Instrumentation Deployment; NEPA Tracking No. 16-017 Award Number: DE-AC36-08GO28308 CX(s) Applied: B3.16 National Renewable

  20. Categorical Exclusion Determinations: Portsmouth Paducah Project Office |

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

    Department of Energy Portsmouth Paducah Project Office Categorical Exclusion Determinations: Portsmouth Paducah Project Office Categorical Exclusion Determinations issued by Portsmouth Paducah Project Office. DOCUMENTS AVAILABLE FOR DOWNLOAD August 9, 2012 CX-009253: Categorical Exclusion Determination Optimization of Electrical Power at the Portsmouth Gaseous Diffusion Facility CX(s) Applied: B4.6, B4.11 Date: 08/09/2012 Location(s): Ohio Offices(s): Portsmouth Paducah Project Office May 9,

  1. Categorical Exclusion Determinations: Southeastern Power Administration |

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

    Department of Energy Southeastern Power Administration Categorical Exclusion Determinations: Southeastern Power Administration Categorical Exclusion Determinations issued by Southeastern Power Administration. DOCUMENTS AVAILABLE FOR DOWNLOAD August 3, 2009 CX-000478: Categorical Exclusion Determination Proposed rate adjustment for the Jim Woodruff System CX(s) Applied: B4.3 Date: 08/03/2009 Location(s): Panhandle, Florida Office(s): Southeastern Power Administration

  2. Categorical Exclusion Determinations: Southwestern Power Administration |

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

    Department of Energy Southwestern Power Administration Categorical Exclusion Determinations: Southwestern Power Administration Categorical Exclusion Determinations issued by Southwestern Power Administration. DOCUMENTS AVAILABLE FOR DOWNLOAD March 3, 2016 CX-014714: Categorical Exclusion Determination Chimney Hill Solar Project Interconnection with PEC and Interface with the SWPA Tupelo Switchyard CX(s) Applied: A9 Date: 03/03/2016 Location(s): Oklahoma Offices(s): Southwestern Power

  3. Categorical Exclusion Determinations: Utah | Department of Energy

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

    Utah Categorical Exclusion Determinations: Utah Location Categorical Exclusion Determinations issued for actions in Utah. DOCUMENTS AVAILABLE FOR DOWNLOAD March 18, 2016 CX-100576 Categorical Exclusion Determination Structurally Controlled Geothermal Systems in the Eastern Great Basin Extensional Regime, Utah Award Number: DE-EE0006732 CX(s) Applied: A9, B3.1, B3.6 Geothermal Technologies Office Date: 03/18/2016 Location(s): UT Office(s): Golden Field Office October 23, 2015 CX-014392:

  4. Categorical Exclusion Determinations: Washington | Department of Energy

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

    Washington Categorical Exclusion Determinations: Washington Location Categorical Exclusion Determinations issued for actions in Washington. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100659 Categorical Exclusion Determination An Intelligent Adaptable Monitoring Package for Marine Renewable Energy Projects Award Number: DE-EE0006788 CX(s) Applied: A9, B3.6 Water Power Program Date: 7/12/2016 Location(s): WA Office(s): Golden Field Office June 8, 2016 CX-014608: Categorical Exclusion

  5. Determining Memory Use | Argonne Leadership Computing Facility

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

    Allinea DDT Core File Settings Determining Memory Use Using VNC with a Debugger bgq_stack gdb Coreprocessor Runjob termination TotalView Performance Tools & APIs Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Determining Memory Use Determining the amount of memory available during the execution of the program requires the use of

  6. Categorical Exclusion Determinations | Department of Energy

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

    NEPA Documents » Categorical Exclusion Determinations Categorical Exclusion Determinations To further transparency and openness in its implementation of the NEPA process, DOE established a policy and, subsequently, requirements under the Department's NEPA regulations (10 CFR Part 1021) and NEPA Order (DOE Order 451.1B) to document and post online its categorical exclusion (CX) determinations involving classes of actions listed in Appendix B to Subpart D of 10 CFR Part 1021. Additional

  7. Categorical Exclusion Determinations: Advanced Research Projects

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

    Agency-Energy | Department of Energy Advanced Research Projects Agency-Energy Categorical Exclusion Determinations: Advanced Research Projects Agency-Energy Categorical Exclusion Determinations issued by Advanced Research Projects Agency-Energy. DOCUMENTS AVAILABLE FOR DOWNLOAD December 19, 2013 CX-011762: Categorical Exclusion Determination Arzeda Corp. - Design of Metalloenzymes for Methane Activation CX(s) Applied: B3.6 Date: 12/19/2013 Location(s): Washington Offices(s): Advanced

  8. Categorical Exclusion Determinations: Bonneville Power Administration |

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

    Department of Energy Bonneville Power Administration Categorical Exclusion Determinations: Bonneville Power Administration Categorical Exclusion Determinations issued by Bonneville Power Administration. DOCUMENTS AVAILABLE FOR DOWNLOAD December 11, 2015 CX-014364: Categorical Exclusion Determination Radio Upgrades at Franklin, Nine Mile, and Walla Walla Substations CX(s) Applied: B1.19 Date: 12/11/2015 Location(s): Washington Offices(s): Bonneville Power Administration December 10, 2015

  9. Categorical Exclusion Determinations: California | Department of Energy

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

    California Categorical Exclusion Determinations: California Location Categorical Exclusion Determinations issued for actions in California. DOCUMENTS AVAILABLE FOR DOWNLOAD July 28, 2016 CX-100668 Categorical Exclusion Determination A New Remote Communications Link to Reduce Residential PV Solar Costs Award Number: DE-EE0007592 CX(s) Applied: A9, B5.15 Solar Energy Technology Office Date: 7/26/2016 Location(s): CA Office(s): Golden Field Office July 20, 2016 CX-100655 Categorical Exclusion

  10. Categorical Exclusion Determinations: Connecticut | Department of Energy

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

    Connecticut Categorical Exclusion Determinations: Connecticut Location Categorical Exclusion Determinations issued for actions in Connecticut. DOCUMENTS AVAILABLE FOR DOWNLOAD January 27, 2016 CX-100460 Categorical Exclusion Determination Additive Manufacturing and the Environment: A Special Issue of the Journal of Industrial Ecology Award Number: DE-EE0007317 CX(s) Applied: A9 Advanced Manufacturing Office Date: 01/27/2016 Location(s): CT Office(s): Golden Field Office September 17, 2015

  11. CX-010269: Categorical Exclusion Determination | Department of...

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

    CX-010269: Categorical Exclusion Determination Renewable Energy Initiatives for Clark ... The U.S. Department of Energy (DOE) is proposing to provide federal funding to the Clark ...

  12. Morris: Noncompliance Determination (2013-SE-5403)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Morris Products, Inc. finding that various models of metal halide lamp fixtures do not comport with the energy conservation standards.

  13. Electrolux: Compliance Determination (2010-SE-0108)

    Broader source: Energy.gov [DOE]

    After conducting testing of Electrolux's Frigidaire chest freezer model FFN09M5HWC, DOE determined that the model met the applicable energy conservation standard.

  14. CX-005512: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-005512: Categorical Exclusion Determination Radiation Mapping Dosimeter Exposure in ... A radiation mapping dosimeter will be placed in a shielded cell in 773-A E-wing Shielded ...

  15. Categorical Exclusion Determinations: RMOTC | Department of Energy

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

    RMOTC Categorical Exclusion Determinations: RMOTC Categorical Exclusion Determinations issued by RMOTC. DOCUMENTS AVAILABLE FOR DOWNLOAD December 30, 2013 CX-011724: Categorical Exclusion Determination Repair Corroded Flow Line Near 33-SX-11 CX(s) Applied: B5.4, B5.6 Date: 12/30/2013 Location(s): Wyoming Offices(s): RMOTC July 26, 2013 CX-010688: Categorical Exclusion Determination Optimization Project #3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s):

  16. Categorical Exclusion Determinations: West Virginia | Department...

    Energy Savers [EERE]

    ... June 10, 2015 CX-013868: Categorical Exclusion Determination B-33 HVAC Upgrades CX(s) ... Ceramic High Temperature Thermoelectric Heat Exchanger and Heat Recuperators for Power ...

  17. Watermark: Noncompliance Determination (2011-SW-2908)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Watermark Designs, Ltd. finding that model SH-FAL-90, a showerhead, does not comport with the water conservation standards.

  18. CX-003703: Categorical Exclusion Determination | Department of...

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

    Determination Florida Hydrogen Initiative - Florida Institute of Technology (Interdisciplinary Hydrogen and Fuel Cell Technology Academic Program) CX(s) Applied: A9 Date: 09...

  19. Arelik A.?: Compliance Determination (2010-SE-0105)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Compliance Determination after test results revealed that Arelik's Blomberg BRFB1450 refrigerator-freezer complies with the applicable energy conservation standards.

  20. CX-100526 Categorical Exclusion Determination | Department of...

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

    This NEPA determination applies to the remaining Tasks 2.0-6.0, including outdoor test support, strain improvement, control optimization, preprocessing unit operations and ...