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.

    2013-05-01T23:59:59.000Z

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

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

    early success in the use of synchrophasor data to improve power system reliability. The power system is designed and operated based on mathematical models describing the expected...

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

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

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

  4. Power System Online Stability Assessment using Synchrophasor Data Mining 

    E-Print Network [OSTI]

    Zheng, Ce

    2013-04-30T23:59:59.000Z

    and ringdown analyzers by using DTs to directly map synchrophasor measurements to predefined oscillatory stability states. The proposed measurement-based approach is examined using synthetic data from simulations on IEEE test systems, and PMU measurements...

  5. Synchrophasor Engineering Education Program Project Summaries...

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

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

  6. 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.

    2012-12-31T23:59:59.000Z

    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 deployed and demonstrated at the Tennessee Valley Authority (TVA) and ISO New England system using real-time synchrophasor data from openPDC. Apart from the software product, the outcome of this project consists of a set of technical reports and papers describing the mathematical foundations and computational approaches of different tools and modules, implementation issues and considerations, lessons learned, and the results of lidation processes.

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

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

    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...

  8. 2014: A high-visibility year for BPA's synchrophasor program

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

    which it won in December of 2013 for deploying the most sophisticated synchrophasor network in North America. Synchrophasors, or phasor measurement units, are shoe-box sized...

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

    Energy Savers [EERE]

    Summary: NCSU - Development of a Multi-User Network Testbed for Wide-Area Monitoring and Control of Power Systems Via Synchrophasors - A. Chakrabortty Project Summary: IIT -...

  10. NWPPA spotlights synchrophasors, energy-saving competition

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

    synchrophasor technology to new levels and Snohomish County Public Utility District's energy challenge for small commercial businesses in recent issues of its monthly magazine....

  11. Topology Detection in Microgrids with Micro-Synchrophasors

    E-Print Network [OSTI]

    Arghandeh, Reza; von Meier, Alexandra; Cavraro, Guido; Ruh, Monika; Andersson, Göran

    2015-01-01T23:59:59.000Z

    Network topology in distribution networks is often unknown, because most switches are not equipped with measurement devices and communication links. However, knowledge about the actual topology is critical for safe and reliable grid operation. This paper proposes a voting-based topology detection method based on micro-synchrophasor measurements. The minimal difference between measured and calculated voltage angle or voltage magnitude, respectively, indicates the actual topology. Micro-synchrophasors or micro-Phasor Measurement Units ({\\mu}PMU) are high-precision devices that can measure voltage angle differences on the order of ten millidegrees. This accuracy is important for distribution networks due to the smaller angle differences as compared to transmission networks. For this paper, a microgrid test bed is implemented in MATLAB with simulated measurements from {\\mu}PMUs as well as SCADA measurement devices. The results show that topologies can be detected with high accuracy. Additionally, topology detecti...

  12. Synchrophasor Applications for Wind Power Generation

    SciTech Connect (OSTI)

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

    2014-02-01T23:59:59.000Z

    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.

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

    Energy Savers [EERE]

    the North American SynchroPhasor Initiative, a collaboration between the North American electric industry (utilities, grid operators, vendors and consultants), the North American...

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

    Open Energy Info (EERE)

    Report Describes Progress in the Deployment of Synchrophasor Technologies for Improved Grid Operations Home > Blogs > Graham7781's blog Graham7781's picture Submitted by...

  15. North American Synchrophasor Initiative (NASPI) Program Information |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment of Energy North American Synchrophasor Initiative

  16. Synchrophasor Measurement Using Substation Intelligent Electronic Devices: Algorithms and Test Methodology

    E-Print Network [OSTI]

    Ren, Jinfeng

    2012-02-14T23:59:59.000Z

    This dissertation studies the performance of synchrophasor measurement obtained using substation Intelligent Electronic Devices (IEDs) and proposes new algorithms and test methodology to improve and verify their performance when used in power system...

  17. A Data Analytics Framework for Smart Grids: Spatio-temporal Wind Power Analysis and Synchrophasor Data Mining

    E-Print Network [OSTI]

    Reisslein, Martin

    fusion of synchrophasor measurements toward secure power grids. Part I is centered around wind power technology into the security assessment and the post-disturbance fault diagnosis of power systems. First, a data-mining framework is developed for on-line dynamic security assessment by using adaptive ensemble

  18. Power System Online Stability Assessment using Synchrophasor Data Mining

    E-Print Network [OSTI]

    Zheng, Ce

    2013-04-30T23:59:59.000Z

    Traditional power system stability assessment based on full model computation shows its drawbacks in real-time applications where fast variations are present at both demand side and supply side. This work presents the use of data mining techniques...

  19. SynchroPhasor Measurements: System Architecture and Performance Evaluation in Supporting Wide-Area Applications

    SciTech Connect (OSTI)

    Huang, Zhenyu; Dagle, Jeffery E.

    2008-07-31T23:59:59.000Z

    The infrastructure of phasor measurements have evolved over the last two decades from isolated measurement units to networked measurement systems with footprints beyond individual utility companies. This is, to a great extent, a bottom-up self-evolving process except some local systems built by design. Given the number of phasor measurement units (PMUs) in the system is small (currently 70 each in western and eastern interconnections), current phasor network architecture works just fine. However, the architecture will become a bottleneck when large number of PMUs are installed (e.g. >1000~10000). The need for phasor architecture design has yet to be addressed. This paper reviews the current phasor networks and investigates future architectures, as related to the efforts undertaken by the North America SynchroPhasor Initiative (NASPI). Then it continues to present staged system tests to evaluate the performance of phasor networks, which is a common practice in the Western Electricity Coordinating Council (WECC) system. This is followed by field measurement evaluation and the implication of phasor quality issues on phasor applications.

  20. 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

    2013-08-31T23:59:59.000Z

    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.

  1. Synchrophasor Technologies Page ii

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

    grid conditions at a rate of several hundred times per second and use this sampled data to calculate phasor values for electric voltage and current, at a rate of 30 or more...

  2. Western Interconnection Synchrophasor Project

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1DOETHEWeekly ReportsWenjun DengWestWISP Sign In

  3. MACHO Mass Determination Based on Space Telescope Observation

    E-Print Network [OSTI]

    Mareki Honma

    1999-03-24T23:59:59.000Z

    We investigate the possibility of lens mass determination for a caustic crossing microlensing event based on a space telescope observation. We demonstrate that the parallax due to the orbital motion of a space telescope causes a periodic fluctuation of the light curve, from which the lens distance can be derived. Since the proper motion of the lens relative to the source is also measurable for a caustic crossing event, one can find a full solution for microlensing properties of the event, including the lens mass. To determine the lens mass with sufficient accuracy, the light curve near the caustic crossing should be observed within uncertainty of $\\sim$ 1%. We argue that the Hubble Space Telescope observation of the caustic crossing supplied with ground-based observations of the full light curve will enable us to determine the mass of MACHOs, which is crucial for understanding the nature of MACHOs.

  4. Determination of Tin in Nickel-based Alloys by Electrothermal Laser-excited

    E-Print Network [OSTI]

    Michel, Robert G.

    Determination of Tin in Nickel-based Alloys by Electrothermal Laser-excited Atomic Fluorescence. The determination of tin in nickel-based alloys by laser-excited sampling, has been the most frequently employed technique for the determination of tin in nickel-based alloys.3­5 The useatomic fluorescence in a graphite

  5. NASPI Synchrophasor Technical Report Model Validation using Synchrophasors

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC)TABLE OFDepartmentTechno-economicNARUCAeronautics andandAt

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

    SciTech Connect (OSTI)

    Simms, L M

    2011-03-07T23:59:59.000Z

    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.

  7. Determination

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign: Potential Application to ARM MeasurementsDetermination of

  8. Determination of wurtzite GaN lattice polarity based on surface reconstruction

    E-Print Network [OSTI]

    Determination of wurtzite GaN lattice polarity based on surface reconstruction A. R. Smith and R. M identify two categories of reconstructions occurring on wurtzite GaN surfaces, the first associated nitride-based devices, epi- taxial growth occurs on the c plane of wurtzite GaN. A key characteristic

  9. Determination of Wurtzite GaN Lattice Polarity Based on Surface Reconstruction

    E-Print Network [OSTI]

    Feenstra, Randall

    1 Determination of Wurtzite GaN Lattice Polarity Based on Surface Reconstruction A. R. Smith,1 R. M of reconstructions occurring on wurtzite GaN surfaces, the first associated with the N-face, (000 ), and the secondN. In the fabrication of most nitride-based devices, epitaxial growth occurs on the c-plane of wurtzite GaN. A key

  10. Fuzzy Logic-Based State-of-Health Determination of Lead Acid Batteries Pritpal Singh

    E-Print Network [OSTI]

    Singh, Pritpal

    Fuzzy Logic-Based State-of-Health Determination of Lead Acid Batteries Pritpal Singh Villanova) of uninterruptible power supply (UPS) batteries using impedance measurements has been demonstrated by several extracted equivalent circuit parameters to correlate with battery SOH. This is a computationally extensive

  11. An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for Co). In addition, an automated vehicle should also self-assess its own perception abilities, and not only perceive this idea, cybercars were designed as fully automated vehicles [3], thought since its inception as a new

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

    DOE Patents [OSTI]

    Berman, Robert M. (Pittsburgh, PA); Cohen, Isadore (Pittsburgh, PA)

    1990-01-01T23:59:59.000Z

    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.

  13. Real Time PMU-Based Stability Monitoring Final Project Report

    E-Print Network [OSTI]

    .g., North America SynchroPhasor Initiative (NASPI) and the introduction of PMU functionality in relays the increasing amount of PMU data for operation, planning, protection, and control. This research proposes new

  14. Testing and Validation of Phasor Measurement Based Devices

    E-Print Network [OSTI]

    Engineering and Computer Science Director, Smart Grid Demonstration and Research Investigation Lab (SGDRIL #12;Executive Summary For upgrading the traditional electric power system to a smart power grid the integration of Intelligent Electronic Devices (IEDs), synchrophasor devices, advanced communication

  15. Determination of delayed neutrons source in the frequency domain based on in-pile oscillation measurements

    SciTech Connect (OSTI)

    Yedvab, Y. [Nuclear Research Centre - Negev, P O Box 9001, 84190 Beer-Sheva (Israel); Physics Dept., Ben-Gurion Univ. of the Negev, P O Box 653, 84105 Beer-Sheva (Israel); Reiss, I. [Nuclear Research Centre - Negev, P O Box 9001, 84190 Beer-Sheva (Israel); Bettan, M. [Soreq Nuclear Research Centre, 81800 Yavne (Israel); Harari, R.; Grober, A.; Ettedgui, H.; Caspi, E. N. [Nuclear Research Centre - Negev, P O Box 9001, 84190 Beer-Sheva (Israel)

    2006-07-01T23:59:59.000Z

    A method for determining delayed neutrons source in the frequency domain based on measuring power oscillations in a non-critical reactor is presented. This method is unique in the sense that the delayed neutrons source is derived from the dynamic behavior of the reactor, which serves as the measurement system. An algorithm for analyzing power oscillation measurements was formulated, which avoids the need for a multi-parameter non-linear fit process used by other methods. Using this algorithm results of two sets of measurements performed in IRR-I and IRR-II (Israeli Research Reactors I and II) are presented. The agreement between measured values from both reactors and calculated values based on Keepin (and JENDL-3.3) group parameters is very good. (authors)

  16. 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

    2015-01-01T23:59:59.000Z

    A new method was developed for rapid and direct measurement of aqueous polybrominated diphenyl ethers (PBDEs) using fluorescence spectroscopy. The fluorescence spectra of aqueous tri- to deca-BDE (BDE28, 47, 99, 153, 190 and 209) that are commonly found in environment were determined 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 BDE28, BDE47, BDE190 and BDE209, and 45.55-69.95 ng/L for BDE99 and BDE153. 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 (4 ml), avoids lengthy complicated concentration and extraction steps, and has a low detection limit of a few ng/L.

  17. Toward a Systematic Framework for Deploying Synchrophasors

    E-Print Network [OSTI]

    (TVA) (now at Grid Protection Alliance) for helping the project team with the prototype implementation of Alstom Grid. i #12;Executive Summary This report is motivated by the major opportunities offered

  18. Toward a Systematic Framework for Deploying Synchrophasors

    E-Print Network [OSTI]

    (TVA) (now at Grid Protection Alliance) for helping the project team with the prototype implementation of Alstom Grid. #12;Executive Summary This report is motivated by the major opportunities offered

  19. North American Synchrophasor Initiative (NASPI) Program Information |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIREofNewsletter NewsletterGeneralofandDepartment of

  20. Synchrophasor Engineering Education Program Project Summaries Available |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis documentEnergy(SHINES) FundingDepartment of

  1. Title: Collaborative Industry - Academic Synchrophasor Engineering Program

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy SolarRadioactiveI Disposal Sites Annual ReportDepartment

  2. 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.

    2008-01-15T23:59:59.000Z

    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.

  3. Laser-Based Mass Spectrometric Determination of Aggregation Numbers for Petroleum-and Coal-Derived Asphaltenes

    E-Print Network [OSTI]

    Zare, Richard N.

    Laser-Based Mass Spectrometric Determination of Aggregation Numbers for Petroleum- and Coal: Petroleum- and coal-derived asphaltenes have been studied with three laser-based mass spectrometric-MS), in which a single laser desorbs and ionizes solid analytes from an activated surface; and laser desorption

  4. Self-determination and student involvement in standards-based reform

    E-Print Network [OSTI]

    Wehmeyer, Michael L.; Field, Sharon; Doren, Bonnie; Jones, Bonnie; Mason, Christine

    2004-01-01T23:59:59.000Z

    Promoting self-determination has become ‘best practice’ in the education of students with disabilities. We synthesize the decade's work in this area as a foundation for considering issues pertaining to promoting self-determination in light...

  5. A margin based approach to determining sample sizes via tolerance bounds.

    SciTech Connect (OSTI)

    Newcomer, Justin T.; Freeland, Katherine Elizabeth

    2013-09-01T23:59:59.000Z

    This paper proposes a tolerance bound approach for determining sample sizes. With this new methodology we begin to think of sample size in the context of uncertainty exceeding margin. As the sample size decreases the uncertainty in the estimate of margin increases. This can be problematic when the margin is small and only a few units are available for testing. In this case there may be a true underlying positive margin to requirements but the uncertainty may be too large to conclude we have sufficient margin to those requirements with a high level of statistical confidence. Therefore, we provide a methodology for choosing a sample size large enough such that an estimated QMU uncertainty based on the tolerance bound approach will be smaller than the estimated margin (assuming there is positive margin). This ensures that the estimated tolerance bound will be within performance requirements and the tolerance ratio will be greater than one, supporting a conclusion that we have sufficient margin to the performance requirements. In addition, this paper explores the relationship between margin, uncertainty, and sample size and provides an approach and recommendations for quantifying risk when sample sizes are limited.

  6. Direct determination of the local Hamaker constant of inorganic surfaces based on scanning force microscopy

    SciTech Connect (OSTI)

    Krajina, Brad A.; Kocherlakota, Lakshmi S.; Overney, René M., E-mail: roverney@u.washington.edu [Department of Chemical Engineering, University of Washington, Seattle, Washington 98195-1750 (United States)

    2014-10-28T23:59:59.000Z

    The energetics involved in the bonding fluctuations between nanometer-sized silicon dioxide (SiO{sub 2}) probes and highly oriented pyrolytic graphite (HOPG) and molybdenum disulfide (MoS{sub 2}) could be quantified directly and locally on the submicron scale via a time-temperature superposition analysis of the lateral forces between scanning force microscopy silicon dioxide probes and inorganic sample surfaces. The so-called “intrinsic friction analysis” (IFA) provided direct access to the Hamaker constants for HOPG and MoS{sub 2}, as well as the control sample, calcium fluoride (CaF{sub 2}). The use of scanning probe enables nanoscopic analysis of bonding fluctuations, thereby overcoming challenges associated with larger scale inhomogeneity and surface roughness common to conventional techniques used to determine surface free energies and dielectric properties. A complementary numerical analysis based on optical and electron energy loss spectroscopy and the Lifshitz quantum electrodynamic theory of van der Waals interactions is provided and confirms quantitatively the IFA results.

  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

    2009-11-30T23:59:59.000Z

    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. Determination of welding fume size with time using E7018 electrodes and A131B base metal 

    E-Print Network [OSTI]

    Owen, Richard James

    1976-01-01T23:59:59.000Z

    DETERMINATION OF WELDING FUME SIZE WITH TIME USING E7018 ELECTRODES AND A131B BASE METAL A Thesis by RICHARD JAMES OWEN Submitted to the Graduate College of Texas AILM University in partial fulfillment of the requirement for the degree... of MASTER OF SCIENCE December 1976 Major Subject: Industrial Hygiene DETERMINATION OF WELDING FUME SIZE WITH TIME USING E7018 ELECTRODES AND Al 318 BASE METAL A Thesis by RICHARD JAMES OWEN Approved as to style and content by: Cha&rman of Comm t ad...

  9. Determination of the deuterium-tritium branching ratio based on inertial confinement fusion implosions

    E-Print Network [OSTI]

    Rosenberg, Michael Jonathan

    The deuterium-tritium (D-T) ?-to-neutron branching ratio [[superscript 3]H(d,?)[superscript 5]He/[superscript 3]H(d,n)[superscript 4]He] was determined under inertial confinement fusion (ICF) conditions, where the ...

  10. Nickel-based superalloy operating temperature determination via analysis of gamma/gamma' microstructure and coating/base material interdiffusion

    E-Print Network [OSTI]

    Ham, Wendy D. (Wendy Decker)

    2005-01-01T23:59:59.000Z

    The average operating temperature of RENÉ N5® high pressure turbine blades was evaluated via [gamma]/[gamma]' microstructure and coating/base metal interdiffusion methods. The [gamma]' volume fraction was measured by point ...

  11. NASPI Synchrophasor Technical Report Renewables Integration with Synchrophasors NASPI Technical Workshop

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC)TABLE OFDepartmentTechno-economicNARUCAeronautics andandAt 1

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

    DOE Patents [OSTI]

    Simons, David J. (Modesto, CA); Carrigan, Charles R. (Tracy, CA); Harben, Philip E. (Livermore, CA); Kirkendall, Barry A. (Golden, CO); Schultz, Craig A. (Danville, CA)

    2008-10-21T23:59:59.000Z

    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.

  13. A Probability Theory Based Price Determination Framework for Utility Companies in an Oligopolistic Energy Market

    E-Print Network [OSTI]

    Pedram, Massoud

    non-cooperative utility companies that offer time-of-use dependent energy prices to energy consumers to determine the energy price for utility companies in an oligopolistic energy market. At the beginning of each to minimize the expected energy cost. The energy pricing competition among utility companies forms an n

  14. MEASUREMENT BASED DETERMINATION OF AEROSOL FORCINGS AT ARM SITES: PROPOSED JOINT ASP-ARM STUDY

    E-Print Network [OSTI]

    of aerosol forcings. The dimmed forcings would not be determined -- no indirect aerosol effect in cloud free Stephen E. Schwartz For presentation at the Atmospheric Radiation Measurement (ARM) Program Science Team) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site. There are numerous aerosol forcings

  15. Earnings Determination and Taxes: Evidence from a Cohort-Based Payroll Tax Reform in Greece

    E-Print Network [OSTI]

    Saez, Emmanuel; Matsaganis, Manos; Tsakloglou, Panos

    2010-01-01T23:59:59.000Z

    pension outcomes i n Greece." British Jour¬ nal ofIndustrialL T A X R E F O R M IN GREECE Emmanuel Saez Manos MatsaganisBased Payroll Tax Reform in Greece Emmanuel Saez, Manos

  16. Determination of soil properties for sandy soils and road base at Riverside Campus using laboratory testing and numerical simulation

    E-Print Network [OSTI]

    Saez Barrios, Deeyvid O.

    2010-07-14T23:59:59.000Z

    : Chair of Committee, Jean-Louis Briaud Committee Members, Charles Aubeny Julian Kang Head of Department, John Niedzwecki Major Subject: Civil Engineering iii ABSTRACT Determination of Soil Properties of Sandy... Soils and Road Base at Riverside Campus Using Laboratory Testing and Numerical Simulation. (May 2010) Deeyvid Oscar Saez Barrios, B.En., Technological University of Panama Chair of Advisory Committee: Jean-Louis Briaud This study evaluated...

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

    DOE Patents [OSTI]

    McEvilly, Thomas V. (733 Alvarado Rd., Berkeley, CA 94705)

    1985-01-01T23:59:59.000Z

    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.

  18. Determination of welding fume size with time using E7018 electrodes and A131B base metal

    E-Print Network [OSTI]

    Owen, Richard James

    1976-01-01T23:59:59.000Z

    . 81 0. 14 0. 70 0. 06 0. 64 0. 25 0. 42 0. 83 mglottie velocity 150. Thermal agglomeration is enhanced by the turbulent conditions from the heat generated by the welding process. Not only are the fumes themselves hot, but the air in which...DETERMINATION OF WELDING FUME SIZE WITH TIME USING E7018 ELECTRODES AND A131B BASE METAL A Thesis by RICHARD JAMES OWEN Submitted to the Graduate College of Texas AILM University in partial fulfillment of the requirement for the degree...

  19. 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 980–8577 (Japan)

    2014-10-28T23:59:59.000Z

    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.

  20. Estimation of the carbon monoxide emissions due to Sandia National Laboratories commuter and on-base traffic for conformity determination

    SciTech Connect (OSTI)

    McClellan, Y. [Sandia National Labs., Albuquerque, NM (United States); Royer, R. [New Mexico Univ., Albuquerque, NM (United States). Dept. of Biochemistry

    1996-09-01T23:59:59.000Z

    This report describes the analysis and conclusion of an investigation of the carbon monoxide emissions resulting from Sandia National Laboratories and Department of Energy (DOE) commuter and on-base traffic for the Clean Air Act (CAA) Conformity Determination. Albuquerque/Bernalillo County was classified as a nonattainment area by the Environmental Protection Agency. Nonattainment area is an area which is shown by monitored data or which is calculated by air quality modeling to exceed any National Ambient Air Quality Standard (NAAQS) for the pollutant. Albuquerque/Bernalillo County exceeds the NAAQS for carbon monoxide and ozone. The Conformity Determination was needed to complete the CAA Title V Permitting process for SNL and the DOE. The analysis used the EPA approved MOBILE5a Carbon Monoxide (CO) emissions modeling program. This analysis will provide a baseline for mobile sources to allow Sandia to estimate any future activity and how that activity will impact CO emissions. The General Conformity Rule (AQCR 43) requires that operations which will increase CO emissions in nonattaimnent or maintenance areas such as Bernalillo County undergo conformity analyses to determine whether or not they will impact ambient air quality in the area.

  1. CALORIMETER-BASED ADJUSTMENT OF MULTIPLICITY DETERMINED 240PU EFF KNOWN-A ANALYSIS FOR THE ASSAY OF PLUTONIUM

    SciTech Connect (OSTI)

    Dubose, F.

    2012-02-21T23:59:59.000Z

    In nuclear material processing facilities, it is often necessary to balance the competing demands of accuracy and throughput. While passive neutron multiplicity counting is the preferred method for relatively fast assays of plutonium, the presence of low-Z impurities (fluorine, beryllium, etc.) rapidly erodes the assay precision of passive neutron counting techniques, frequently resulting in unacceptably large total measurement uncertainties. Conversely, while calorimeters are immune to these impurity effects, the long count times required for high accuracy can be a hindrance to efficiency. The higher uncertainties in passive neutron measurements of impure material are driven by the resulting large (>>2) {alpha}-values, defined as the ({alpha},n):spontaneous fission neutron emission ratio. To counter impurity impacts for high-{alpha} materials, a known-{alpha} approach may be adopted. In this method, {alpha} is determined for a single item using a combination of gamma-ray and calorimetric measurements. Because calorimetry is based on heat output, rather than a statistical distribution of emitted neutrons, an {alpha}-value determined in this way is far more accurate than one determined from passive neutron counts. This fixed {alpha} value can be used in conventional multiplicity analysis for any plutonium-bearing item having the same chemical composition and isotopic distribution as the original. With the results of single calorimeter/passive neutron/gamma-ray measurement, these subsequent items can then be assayed with high precision and accuracy in a relatively short time, despite the presence of impurities. A calorimeter-based known-{alpha} multiplicity analysis technique is especially useful when requiring rapid, high accuracy, high precision measurements of multiple plutonium bearing items having a common source. The technique has therefore found numerous applications at the Savannah River Site. In each case, a plutonium (or mixed U/Pu) bearing item is divided into multiple containers. A single item from that batch is then selected for both neutron and calorimetric measurements; all remaining items undergo a neutron measurement only. Using the technique mentioned above, the 'true' {alpha} value determined from the first (calorimeter and passive neutron measured) item is used in multiplicity analysis for all other items in the batch. The justification for using this {alpha} value in subsequent calculations is the assumption that the chemical composition and isotopic distribution of all batch items are the same, giving a constant ({alpha},n):spontaneous fission ratio. This analysis method has been successfully applied to the KIS Facility, significantly improving measurement uncertainties and reducing processing times for numerous items. Comprehensive plans were later developed to extend the use of this method to other applications, including the K-Area Shuffler and the H-Area Pu-Blending Project. While only the feasibility study for the Shuffler has been completed, implementation of the method in the H-Area Pu-Blending Project is currently in progress and has been successfully applied to multiple items. This report serves to document the details of this method in order to serve as a reference for future applications. Also contained herein are specific examples of the application of known-{alpha} multiplicity analysis.

  2. Determination of the Operating Envelope for a Direct Fired Fuel Cell Turbine Hybrid Using Hardware Based Simulation

    SciTech Connect (OSTI)

    David Tucker; Eric Liese; Randall Gemmen

    2009-02-10T23:59:59.000Z

    The operating range of a direct fired solid oxide fuel cell gas turbine (SOFC/GT) hybrid with bypass control of cathode airflow was determined using a hardware-based simulation facility designed and built by the U.S. Department of Energy, National Energy Technology Laboratory (NETL). Three methods of cathode airflow management using bypass valves in a hybrid power system were evaluated over the maximum range of operation. The cathode air flow was varied independently over the full range of operation of each bypass valve. Each operating point was taken at a steady state condition and was matched to the thermal, pressure and flow output of a corresponding fuel cell operation condition. Turbine electric load was also varied so that the maximum range of fuel cell operation could be studied, and a preliminary operating map could be made. Results are presented to show operating envelopes in terms of cathode air flow, fuel cell and turbine load, and compressor surge margin to be substantial.

  3. 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

    2008-01-01T23:59:59.000Z

    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.

  4. Online Transmission Line Loadability Assessment Using Synchrophasor Measurements

    E-Print Network [OSTI]

    Liberzon, Daniel

    a stable operation. Transmission line loading limits are also essential to deter- mine locational marginal loading margins provide a useful metric to operate the power sys- tem to satisfy demands while ensuring prices in power markets. Therefore, the assessment of transmission line loadability under various

  5. Real-Time Security Assessment of Angle Stability Using Synchrophasors

    E-Print Network [OSTI]

    Kingsmore (Duke Energy) · Kip Morrison (BCTC) · Mahendra Patel (PJM) and · Suketu Shah (ITC) · Jianzhong Tong (PJM) · Bob Wilson (WAPA). #12;ii Executive Summary This project examines the use of Phasor

  6. Synchrophasor success lands BPA its first Platts Award

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

    for Grid Optimization. There were nine other finalists for the award, including BC Hydro, PacifiCorp and PJM Interconnection. BPA was also a finalist for Platt's Stewardship...

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

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

    Grid Investment Grant Program Now Available Now Available - Customer Participation in the Smart Grid: Lessons Learned Demand Response: Lessons Learned with an Eye to the Future...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department ofOral TestimonyEnergyFinding U. MEMORANDUM FOR

  9. North American SynchroPhasor Initiative (NASPI) Technical Report -

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForumEnginesVacantmagneticDepartmentNorth

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForumEnginesVacantmagneticDepartmentNorthValidation Using

  11. North American SynchroPhasor Initiative (NASPI) Technical Report - Phasor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForumEnginesVacantmagneticDepartmentNorthValidation

  12. North American SynchroPhasor Initiative (NASPI) Technical Reports |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARAManager(December 1982)Supply System

  14. North American SynchroPhasor Initiative (NASPI) Technical Report -

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIREofNewsletter NewsletterGeneralofand Energy

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIREofNewsletter NewsletterGeneralofand EnergyValidation Using

  16. North American SynchroPhasor Initiative (NASPI) Technical Report - Phasor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIREofNewsletter NewsletterGeneralofand EnergyValidation

  17. North American SynchroPhasor Initiative (NASPI) Technical Reports |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIREofNewsletter NewsletterGeneralofand

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis documentEnergy(SHINES) FundingDepartment

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISO 50001 Energy Management Standard

  20. and Control of Power Systems Using Distributed Synchrophasors

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian Nuclear Warheads|ofEventsWorkshopY-12a Multi-User Network Testbed for

  1. DOE Report Describes Progress in the Deployment of Synchrophasor

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE Facility Database Data and Resources DOE Facility DatabaseCSV

  2. NASPI Synchrophasor Technical Report Phasor Tools Visualization Workshop Technical Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC)TABLE OFDepartmentTechno-economicNARUCAeronautics andandAt 1

  3. The Accuracy of Determining Three-Dimensional Radiative Transfer Effects in Cumulus Clouds Using Ground-Based Profiling Instruments

    E-Print Network [OSTI]

    Robert, Pincus

    The Accuracy of Determining Three-Dimensional Radiative Transfer Effects in Cumulus Clouds Using. Three-dimensional radiative transfer effects and why one might estimate them in two-dimensional clouds expensive independent column approximation is called the 3D radiative transfer effect. Assessing

  4. Determining Adaptability Performance of Artificial Neural Network-Based Thermal Control Logics for Envelope Conditions in Residential Buildings

    E-Print Network [OSTI]

    Moon, Jin Woo; Chang, Jae D.; Kim, Sooyoung

    2013-07-18T23:59:59.000Z

    This study examines the performance and adaptability of Artificial Neural Network (ANN)-based thermal control strategies for diverse thermal properties of building envelope conditions applied to residential buildings. The thermal performance using...

  5. Essays on Dynamic Value Change Perspective in Resource Based View, Determinants of Alliance Formation and Risk Preference in Alliance Formation

    E-Print Network [OSTI]

    Jun, Ik Su

    2011-02-22T23:59:59.000Z

    This dissertation focuses on addressing some critical shortcomings in recent developments of the field of strategic management with three essays; shortcomings in the ubiquitous Resource Based View (RBV) on matters regarding the origins and processes of value.... Such asymmetry inherently occurs due to bounded rationality and resource constraint of the stakeholders. However, this asymmetry evolves through competitive interactions among stakeholders. Thus, this chapter develops a dynamic approach to firm value creation...

  6. Indirect Determination of the 230Th(n,f) and 231Th(n,f) Cross Sections for Thorium-Based Nuclear Energy Systems

    E-Print Network [OSTI]

    Stroberg, S.R.

    2012-01-01T23:59:59.000Z

    n,f) Cross Sections for Thorium-Based Nuclear Energy Systemsf ) Cross Sections for Thorium-Based Nuclear Energy Systemsbenchmark- ing of advanced thorium-based nuclear reactor

  7. Motivating Learners in Secondary Science Classrooms: Analysis of a Computer-Supported, Inquiry-Based Learning Environment Using Self-Determination Theory

    E-Print Network [OSTI]

    Scogin, Stephen C.

    2014-07-29T23:59:59.000Z

    Nature of Science NRC National Research Council NSF National Science Foundation PS PlantingScience SDT Self-Determination Theory SPORE Science Prize for Online Resources in Education SSP Student-Scientist Partnership SWOT Strengths... ...................................... 57 3.3 Open and Axial Coding Categories With Corresponding Properties and Dimensions .......................................................................................... 92 3.4 Results of SWOT Analysis...

  8. 25th European Photovoltaic Solar Energy Conference, Valencia, Spain, 6-10 September 2010, 2DV.1.30 DETERMINATION OF THE BASE DOPANT CONCENTRATION OF LARGE AREA

    E-Print Network [OSTI]

    probe measurements. For alkaline textured monocrystalline silicon solar cells calculations are carried Cell, Capacitance, Base Dopant Concentration aPresent address: pv-tools GmbH, Hefehof 31, 31785 Hameln

  9. alloyed hypereutectic gray: Topics by E-print Network

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

    on Synchrophasor Data Computer Technologies and Information Sciences Websites Summary: in smart grids 1. Phasor measurement unit (PMU) or synchrophasor data serves to facilitate...

  10. A geographic information system (GIS) based determination of estuarine and marine wetland and shoreline changes in the Galveston Bay estuary from 1995 to 2002

    E-Print Network [OSTI]

    Taylor, Christina Claudette

    2008-10-10T23:59:59.000Z

    shapefiles. These files were available for all the United States Geological Survey (USGS) quadrangles in Table 1 and were analyzed in the Universal Transverse Mercator (UTM) projection, North American Datum (NAD) 1983 for Zone 15. Aerial photography... implemented to determine which method was most accurate and time efficient. The NWI quad maps from 1993 and aerial photos for 1995 were imported into an ArcGIS Desktop project file. For the first method, a new shapefile was created and 13 labeled...

  11. 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.

    2012-03-01T23:59:59.000Z

    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.

  12. Determining the Dust Extinction of Gamma-ray Burst Host Galaxies: A Direct Method Based on Optical and X-ray Photometry

    E-Print Network [OSTI]

    Yuan Li; Aigen Li; Daming Wei

    2007-12-17T23:59:59.000Z

    The dust extinction of gamma-ray bursts (GRBs) host galaxies, containing important clues to the nature of GRB progenitors and crucial for dereddening, is still poorly known. Here we propose a straightforward method to determine the extinction of GRB host galaxies by comparing the observed optical spectra to the intrinsic ones extrapolated from the X-ray spectra. The rationale for this method is from the standard fireball model: if the optical flux decay index equals to that of the X-ray flux, then there is no break frequency between the optical and X-ray bands, therefore we can derive the intrinsic optical flux from the X-ray spectra. We apply this method to three GRBs of which the optical and X-ray fluxes have the same decay indices and another one with inferred cooling break frequency, and obtain the rest-frame extinction curves of their host galaxies. The derived extinction curves are gray and do not resemble any extinction curves of local galaxies (e.g. the Milk Way, the Small/Large Magellanic Clouds, or nearby starburst galaxies). The amount of extinction is rather large (with visual extinction $A_V$ $\\sim$ 1.6--3.4$\\magni$). We model the derived extinction curves in terms of the silicate-graphite interstellar grain model. As expected from the ``gray'' nature of the derived extinction curve, the dust size distribution is skewed to large grains. We determine, for the first time, the local dust-to-gas ratios of GRB host galaxies using the model-derived dust parameters and the hydrogen column densities determined from X-ray absorptions.

  13. Indirect determination of the {sup 230}Th(n,f) and {sup 231}Th(n,f) cross sections for thorium-based nuclear energy systems

    SciTech Connect (OSTI)

    Goldblum, B. L.; Stroberg, S. R.; Angell, C.; Swanberg, E. [Department of Nuclear Engineering, University of California, Berkeley, California 94720 (United States); Allmond, J. M. [Department of Physics, University of Richmond, Virginia 23173 (United States); Bernstein, L. A.; Bleuel, D. L.; Burke, J. T.; Scielzo, N. D.; Wiedeking, M. [Lawrence Livermore National Laboratory, Livermore, California 94551 (United States); Gibelin, J. [GANIL (DSM-CEA/IN2P3-CNRS), B. P. 55027, F-14076 Caen Cedex 5 (France); Phair, L. [Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States); Norman, E. B. [Department of Nuclear Engineering, University of California, Berkeley, California 94720 (United States); Lawrence Livermore National Laboratory, Livermore, California 94551 (United States); Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)

    2009-10-15T23:59:59.000Z

    The surrogate ratio method (SRM) was employed in the first experimental determination of the {sup 231}Th(n,f) cross section, relative to the {sup 235}U(n,f) cross section, over an equivalent neutron energy range of 360 keV to 10 MeV. The {sup 230}Th(n,f) cross section was also deduced using the SRM, relative to the {sup 234}U(n,f) cross section, over an equivalent neutron energy range of 220 keV to 25 MeV. The desired compound nuclei were populated using ({sup 3}He,{sup 3}He') and ({sup 3}He,{alpha}) reactions on targets of {sup 232}Th and {sup 236}U and relative fission decay probabilities were measured. The surrogate {sup 230,231}Th(n,f) cross sections were compared to cross section evaluations and directly-measured experimental data, where available.

  14. Development of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model to Determine Dosimetry and Cholinesterase Inhibition for a Binary Mixture of Chlorpyrifos and Diazinon in the Rat

    SciTech Connect (OSTI)

    Timchalk, Chuck; Poet, Torka S.

    2008-05-01T23:59:59.000Z

    Physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) models have been developed and validated for the organophosphorus (OP) insecticides chlorpyrifos (CPF) and diazinon (DZN). Based on similar pharmacokinetic and mode of action properties it is anticipated that these OPs could interact at a number of important metabolic steps including: CYP450 mediated activation/detoxification, and blood/tissue cholinesterase (ChE) binding/inhibition. We developed a binary PBPK/PD model for CPF, DZN and their metabolites based on previously published models for the individual insecticides. The metabolic interactions (CYP450) between CPF and DZN were evaluated in vitro and suggests that CPF is more substantially metabolized to its oxon metabolite than is DZN. These data are consistent with their observed in vivo relative potency (CPF>DZN). Each insecticide inhibited the other’s in vitro metabolism in a concentration-dependent manner. The PBPK model code used to described the metabolism of CPF and DZN was modified to reflect the type of inhibition kinetics (i.e. competitive vs. non-competitive). The binary model was then evaluated against previously published rodent dosimetry and ChE inhibition data for the mixture. The PBPK/PD model simulations of the acute oral exposure to single- (15 mg/kg) vs. binary-mixtures (15+15 mg/kg) of CFP and DZN at this lower dose resulted in no differences in the predicted pharmacokinetics of either the parent OPs or their respective metabolites; whereas, a binary oral dose of CPF+DZN at 60+60 mg/kg did result in observable changes in the DZN pharmacokinetics. Cmax was more reasonably fit by modifying the absorption parameters. It is anticipated that at low environmentally relevant binary doses, most likely to be encountered in occupational or environmental related exposures, that the pharmacokinetics are expected to be linear, and ChE inhibition dose-additive.

  15. Determining the Dust Extinction of Gamma-ray Burst Host Galaxies: A Direct Method Based on Optical and X-ray Photometry

    E-Print Network [OSTI]

    Li, Yuan; Wei, Daming

    2007-01-01T23:59:59.000Z

    The dust extinction of gamma-ray bursts (GRBs) host galaxies, containing important clues to the nature of GRB progenitors and crucial for dereddening, is still poorly known. Here we propose a straightforward method to determine the extinction of GRB host galaxies by comparing the observed optical spectra to the intrinsic ones extrapolated from the X-ray spectra. The rationale for this method is from the standard fireball model: if the optical flux decay index equals to that of the X-ray flux, then there is no break frequency between the optical and X-ray bands, therefore we can derive the intrinsic optical flux from the X-ray spectra. We apply this method to three GRBs of which the optical and X-ray fluxes have the same decay indices and another one with inferred cooling break frequency, and obtain the rest-frame extinction curves of their host galaxies. The derived extinction curves are gray and do not resemble any extinction curves of local galaxies (e.g. the Milk Way, the Small/Large Magellanic Clouds, or ...

  16. Author manuscript, published in "International Conference on Information Fusion (2013)" An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for Co-Driving

    E-Print Network [OSTI]

    Evangeline Pollard; Fawzi Nashashibi

    2013-01-01T23:59:59.000Z

    Abstract—Full autonomy of ground vehicles is a major goal of the ITS (Intelligent Transportation Systems) community. However, reaching such highest autonomy level in all situations (weather, traffic,...) may seem difficult in practice, despite recent results regarding driverless cars (e.g., Google Cars). In addition, an automated vehicle should also self-assess its own perception abilities, and not only perceive its environment. In this paper, we propose an intermediate approach towards full automation, by defining a spectrum of automation layers, from fully manual (the car is driven by a driver) to fully automated (the car is driven by a computer), based on an ontological model for representing knowledge. We also propose a second ontology for situation assessment (what does the automated car perceive?), including the sensors/actuators state, environmental conditions and driver’s state. Finally, we also define inference rules to link the situation assessment ontology to the automation level one. Both ontological models have been built and first results are presented. I.

  17. CX-006772: Categorical Exclusion Determination | Department of...

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

    Determination CX-006772: Categorical Exclusion Determination Coal-Based Integrated Gasification Fuel Cell Project: Phase II CX(s) Applied: B3.6 Date: 09162011 Location(s):...

  18. CX-006773: Categorical Exclusion Determination | Department of...

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

    Determination CX-006773: Categorical Exclusion Determination Coal-Based Integrated Gasification Fuel Cell Project: Phase II CX(s) Applied: B3.6 Date: 09162011 Location(s):...

  19. CX-006770: Categorical Exclusion Determination | Department of...

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

    Determination CX-006770: Categorical Exclusion Determination Coal-Based Integrated Gasification Fuel Cell Project: Phase II CX(s) Applied: B3.6 Date: 09162011 Location(s): South...

  20. CX-006771: Categorical Exclusion Determination | Department of...

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

    Determination CX-006771: Categorical Exclusion Determination Coal-Based Integrated Gasification Fuel Cell Project: Phase II CX(s) Applied: B3.6 Date: 09162011 Location(s):...

  1. Method of determining glass durability

    DOE Patents [OSTI]

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

    1998-12-08T23:59:59.000Z

    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.

  2. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, Carol Maryanne (Aiken, SC); Pickett, John Butler (Aiken, SC); Brown, Kevin George (Augusta, GA); Edwards, Thomas Barry (Aiken, SC)

    1998-01-01T23:59:59.000Z

    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.

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

    Energy Savers [EERE]

    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,...

  4. Synchrophasor Measurement Using Substation Intelligent Electronic Devices: Algorithms and Test Methodology 

    E-Print Network [OSTI]

    Ren, Jinfeng

    2012-02-14T23:59:59.000Z

    chnages. Some This dissertation follows the style of IEEE Transactions on Power Delivery. 2 disturbances, for example faults and switching operations, produce discontinuous points such as steps... respectively have been developed in this laboratory [34]-[36]. The NIST steady-state calibration service tests PMUs for compliance with the parameter requirements in IEEE C37.118-2005. In the dynamic test, modulated signals with varying magnitude...

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

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you want toworldPowerHome| DepartmentPumpHome OfficeConsume? HowMuchof

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

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy Solar Decathlon2001Competitiveness

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking of Blythe Solar PowerCommercialEnergy Star| DepartmentHowHow Much DoMuchof

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), October 20122 DOEDepartmentJune 29,

  9. Perlick: Noncompliance Determination (2013-SE-14002) | Department...

    Energy Savers [EERE]

    finding that refrigerator basic model HP48RR does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing....

  10. Whirlpool: Noncompliance Determination (2013-SE-1420) | Department...

    Office of Environmental Management (EM)

    finding that refrigerator-freezer basic model 8TAR81 does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing....

  11. Bigwall: Noncompliance Determination (2014-SE-15006) | Department...

    Office of Environmental Management (EM)

    ("Bigwall model PACH8000") of room air conditioners do not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing....

  12. CX-010528: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Durability Investigation for Quarternary Phosphonium-based Polymer Hydroxide Exchange Membranes CX(s) Applied: B3.6 Date: 09182012 Location(s):...

  13. Siderite, oxidation, and neutralization potential determination

    E-Print Network [OSTI]

    Porter, Elizabeth Brooke

    2001-01-01T23:59:59.000Z

    Due to the nature of native soils overlying lignite seams in Texas, mixed overburden is allowed as a topsoil substitute. Determination of suitable topsoil replacements is based on chemical analysis, including neutralization potential (NP), a...

  14. 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

    2013-11-30T23:59:59.000Z

    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.

  15. EMPOWERING DIGITAL SELF DETERMINATION

    E-Print Network [OSTI]

    Das, Rhiju

    : Communication and Digital Media 2. Data Context and Digital Personas 3. Personal Data: Use, ReuseEMPOWERING DIGITAL SELF DETERMINATION Symposium Summary Stanford University, Summer 2012 #12;#12;EMPOWERING DIGITAL SELF DETERMINATION Symposium, Stanford University, CA Summer, 2012 210 Panama Street

  16. How to determine threat probabilities using ontologies and Bayesian networks

    E-Print Network [OSTI]

    How to determine threat probabilities using ontologies and Bayesian networks [Extended Abstract Business Austria Vienna, Austria neubauer@securityresearch.ac.at ABSTRACT The subjective threat probability- and Bayesian-based approach for determining asset-specific and comprehensible threat probabilities

  17. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G. (Albuquerque, NM); Gurary, Alexander I. (Bridgewater, NJ); Boguslavskiy, Vadim (Princeton, NJ)

    2002-01-01T23:59:59.000Z

    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.

  18. Crystal face temperature determination means

    DOE Patents [OSTI]

    Nason, D.O.; Burger, A.

    1994-11-22T23:59:59.000Z

    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.

  19. Liquid chromatographic determination of water

    DOE Patents [OSTI]

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

    1990-11-13T23:59:59.000Z

    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.

  20. Robust Growth Determinants

    E-Print Network [OSTI]

    Doppelhofer, Gernot; Weeks, Melvyn

    2011-01-31T23:59:59.000Z

    This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious...

  1. Determination of Surface Exciton Energies by Velocity Resolved...

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

    Exciton Energies by Velocity Resolved Atomic Desorption. Abstract: We have developed a new method for determining surface exciton band energies in alkali halides based on...

  2. Determination of a mutational spectrum

    DOE Patents [OSTI]

    Thilly, William G. (Winchester, MA); Keohavong, Phouthone (Cambridge, MA)

    1991-01-01T23:59:59.000Z

    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.

  3. Categorical Exclusion Determination Form

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

    applications. RTI International (RTI) and Lawrence Berkeley National Laboratory (LBNL) will perform computer-based analytical work at RTI's office complex in Research...

  4. Why Do Inner City Residents Pay Higher Premiums? The Determinants of Automobile Insurance Premiums

    E-Print Network [OSTI]

    Ong, Paul M.; Stoll, Michael A.

    2008-01-01T23:59:59.000Z

    The Determinants of Automobile Insurance Premiums Paul M.The Determinants of Automobile Insurance Premiums Abstractplace-based component of automobile insurance premiums. We

  5. Determining Reactor Neutrino Flux

    E-Print Network [OSTI]

    Jun Cao

    2012-03-08T23:59:59.000Z

    Flux is an important source of uncertainties for a reactor neutrino experiment. It is determined from thermal power measurements, reactor core simulation, and knowledge of neutrino spectra of fuel isotopes. Past reactor neutrino experiments have determined the flux to (2-3)% precision. Precision measurements of mixing angle $\\theta_{13}$ by reactor neutrino experiments in the coming years will use near-far detector configurations. Most uncertainties from reactor will be canceled out. Understanding of the correlation of uncertainties is required for $\\theta_{13}$ experiments. Precise determination of reactor neutrino flux will also improve the sensitivity of the non-proliferation monitoring and future reactor experiments. We will discuss the flux calculation and recent progresses.

  6. What determines cell size?

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    mechanism for nuclear positioning in fission yeast based onboth budding and fission yeast that nuclear volume increasesFR, Nurse P: Nuclear size control in fission yeast. J Cell

  7. Determining Pregnancy in Cattle.

    E-Print Network [OSTI]

    Sorensen, A. M. Jr.; Beverly, J. R.

    1968-01-01T23:59:59.000Z

    . This should not upset the pal- pator. An indication of rectum damage is a sand- paper or gritty feeling. In this case, the mucosa lining the rectum has been rubbed off in the palpation pro- cess. It is best to stop further palpation when this occurs. A... good land- mark, figure 2. After locating the cervix, the pal- pator can move forward to the uterus to determine pregnancy. The paunch, located directly forward and to the left, may feel like the end of a football and be rather soft and mushy...

  8. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08T23:59:59.000Z

    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 obtained through conventional procurements. While claims of excessive prices are largely unsubstantiated and based on anecdotal evidence, the perception that there is a problem is shared by many in the ESPC community and has been noted by auditors and oversight organizations. The Price Reasonableness Working Group determined that a more formal emphasis on FAR 15.404-1 in the ESPC process could remove much of the doubt about price reasonableness determinations. The working group's recommended consensus policy on price reasonableness stresses the price analysis techniques described in the FAR that are applicable to ESPCs and includes guidance for agencies use of these techniques in determining price reasonableness for their ESPC delivery orders. The recommended policy and guidance, if communicated to federal ESPC stakeholders, can ensure that agencies will comply with the FAR in awarding ESPCs, obtain fair and reasonable prices and best value for the government, and follow procedures that provide auditable documentation of due diligence in price reasonableness determinations.

  9. Significant Radionuclides Determination

    SciTech Connect (OSTI)

    Jo A. Ziegler

    2001-07-31T23:59:59.000Z

    The purpose of this calculation is to identify radionuclides that are significant to offsite doses from potential preclosure events for spent nuclear fuel (SNF) and high-level radioactive waste expected to be received at the potential Monitored Geologic Repository (MGR). In this calculation, high-level radioactive waste is included in references to DOE SNF. A previous document, ''DOE SNF DBE Offsite Dose Calculations'' (CRWMS M&O 1999b), calculated the source terms and offsite doses for Department of Energy (DOE) and Naval SNF for use in design basis event analyses. This calculation reproduces only DOE SNF work (i.e., no naval SNF work is included in this calculation) created in ''DOE SNF DBE Offsite Dose Calculations'' and expands the calculation to include DOE SNF expected to produce a high dose consequence (even though the quantity of the SNF is expected to be small) and SNF owned by commercial nuclear power producers. The calculation does not address any specific off-normal/DBE event scenarios for receiving, handling, or packaging of SNF. The results of this calculation are developed for comparative analysis to establish the important radionuclides and do not represent the final source terms to be used for license application. This calculation will be used as input to preclosure safety analyses and is performed in accordance with procedure AP-3.12Q, ''Calculations'', and is subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (DOE 2000) as determined by the activity evaluation contained in ''Technical Work Plan for: Preclosure Safety Analysis, TWP-MGR-SE-000010'' (CRWMS M&O 2000b) in accordance with procedure AP-2.21Q, ''Quality Determinations and Planning for Scientific, Engineering, and Regulatory Compliance Activities''.

  10. Determinants of Meme Popularity

    E-Print Network [OSTI]

    Gleeson, James P; Baños, Raquel A; Moreno, Yamir

    2015-01-01T23:59:59.000Z

    Online social media have greatly affected the way in which we communicate with each other. However, little is known about what are the fundamental mechanisms driving dynamical information flow in online social systems. Here, we introduce a generative model for online sharing behavior and analytically show, using techniques from mathematical population genetics, that competition between memes for the limited resource of user attention leads to a type of self-organized criticality, with heavy-tailed distributions of meme popularity: a few memes "go viral" but the majority become only moderately popular. The time-dependent solutions of the model are shown to fit empirical micro-blogging data on hashtag usage, and to predict novel scaling features of the data. The presented framework, in contrast to purely empirical studies or simulation-based models, clearly distinguishes the roles of two distinct factors affecting meme popularity: the memory time of users and the connectivity structure of the social network.

  11. Determining the neutrino mass hierarchy

    SciTech Connect (OSTI)

    Parke, Stephen J.; /Fermilab

    2006-07-01T23:59:59.000Z

    In this proceedings I review the physics that future experiments will use to determine the neutrino mass hierarchy.

  12. System and method to determine electric motor efficiency nonintrusively

    DOE Patents [OSTI]

    Lu, Bin (Kenosha, WI); Habetler, Thomas G. (Snellville, GA); Harley, Ronald G. (Lawrenceville, GA)

    2011-08-30T23:59:59.000Z

    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.

  13. Quantitative determinations of tryptophane in cottonseed meats

    E-Print Network [OSTI]

    Holland, Bryant Richard

    1937-01-01T23:59:59.000Z

    their determinations on the blue color developed by tryptophane and the phosphomolybdio-phosphotungstic acid phenol reagent of Folin and . )enis . Their results are low in comparison with the results of other workers. Looney contends that it was the unfamiliarity... method. Another frequently used colorimetric method is based on the reaction of tryptophane and p-dimethylaminobensaldehyde in 20 per cent hydrochloric acid solution, in which a blue color results. This was first o'bserved by Rhode19, but Hersfeld20...

  14. automated nmr determination: Topics by E-print Network

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

    pre-existing XPLOR program Clore, G. Marius 29 An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for Physics Websites Summary: towards full...

  15. Determinants of Role Structure in Family Financial Management

    E-Print Network [OSTI]

    Rosen, Dennis L.; Granbois, Donald H.

    1983-01-01T23:59:59.000Z

    Variables determining the role of husband and wife in family financial management are explored based on in-home, personal interviews. Financial tasks reflecting implementation activities and two groupings of decision ...

  16. Distributed Approaches for Determination of Reconfiguration Algorithm Termination

    E-Print Network [OSTI]

    Lai, Hong-jian

    Distributed Approaches for Determination of Reconfiguration Algorithm Termination Pinak Tulpule architecture was used as globally shared memory structure for detection of algorithm termination. This paper of algorithm termination. Keywords--autonomous agent-based reconfiguration, dis- tributed algorithms, shipboard

  17. Sandia National Laboratories: coupling trajectory-based determination...

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  18. Rock Physics Based Determination of Reservoir Microstructure for Reservoir Characterization

    E-Print Network [OSTI]

    Adesokan, Hamid 1976-

    2013-01-09T23:59:59.000Z

    One of the most important, but often ignored, factors affecting the transport and the seismic properties of hydrocarbon reservoir is pore shape. Transport properties depend on the dimensions, geometry, and distribution of pores and cracks. Knowledge...

  19. 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

    2014-12-30T23:59:59.000Z

    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.

  20. 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

  1. 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

  2. Determination

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

    consisting of AZ road dust and soot in acetonitrile carrier solvent was sprayed onto glass coupons at very brief intervals with a high volume, low pressure pneumatic sprayer....

  3. Method and apparatus for determining tensile strength

    DOE Patents [OSTI]

    Ratigan, Joe L. (Rapid City, SD)

    1984-01-01T23:59:59.000Z

    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.

  4. Method and apparatus for determining tensile strength

    DOE Patents [OSTI]

    Ratigan, J.L.

    1982-05-28T23:59:59.000Z

    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.

  5. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  6. Determining Cropland Share Rental Arrangements

    E-Print Network [OSTI]

    Dhuyvetter, Kevin C.; Kastens, Terry L.; Outlaw, Joe

    1999-06-23T23:59:59.000Z

    Determining Cropland Share Rental Arrangements Kevin C. Dhuyvetter, Terry L. Kastens and Joe L. Outlaw * Many crop producers rely heavily on rented land in their farming operations. The rental arrangements between landowners and producers can...

  7. 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

  8. CX-008905: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  9. Cotton Gin Dust Explosibility Determinations 

    E-Print Network [OSTI]

    Vanderlick, Francis Jerome

    2014-01-06T23:59:59.000Z

    COTTON GIN DUST EXPLOSIBILITY DETERMINATIONS A Thesis by FRANCIS JEROME VANDERLICK Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree... Francis Jerome Vanderlick ii ABSTRACT Following the recent Imperial sugar dust explosion in 2008, a comprehensive survey of past dust explosions was conducted by the Occupational Safety and Health Administration (OSHA) to determine potential...

  10. Gender determination of avian embryo

    DOE Patents [OSTI]

    Daum, Keith A. (Idaho Falls, ID); Atkinson, David A. (Idaho Falls, ID)

    2002-01-01T23:59:59.000Z

    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.

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

    DOE Patents [OSTI]

    Lu, Bin (Kenosha, WI); Habetler, Thomas G. (Snellville, GA)

    2011-06-07T23:59:59.000Z

    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.

  12. 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)

    2010-10-01T23:59:59.000Z

    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.

  13. CX-000616: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000616: Categorical Exclusion Determination Enhanced Wind Resource Assessment at Naval Station Newport; National Renewable Energy Laboratory...

  14. CX-008582: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008582: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic (PV) Manufacturing Initiative - Core Subawards CX(s)...

  15. CX-011845: Categorical Exclusion Determination | Department of...

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

    45: Categorical Exclusion Determination CX-011845: Categorical Exclusion Determination Materials Characterization Laboratory & RadiologicalEnvironment, Safety and Health Training...

  16. CX-005367: Categorical Exclusion Determination | Department of...

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

    67: Categorical Exclusion Determination CX-005367: Categorical Exclusion Determination Project T-222 Hazardous Materials Management Emergency Response (HAMMER) Training Facility...

  17. CX-002612: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002612: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  18. CX-002609: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002609: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  19. CX-000462: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000462: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  20. CX-002611: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002611: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  1. DOE Publishes Supplemental Proposed Determination for Miscellaneous...

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

    Proposed Determination for Miscellaneous Residential Refrigeration Products DOE Publishes Supplemental Proposed Determination for Miscellaneous Residential Refrigeration Products...

  2. CX-006275: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006275: Categorical Exclusion Determination Energy Audit; Efficiency Improvements; and Renewable Energy Installations; Township of...

  3. Unreviewed Safety Question Determination - Processing Waste in...

    Office of Environmental Management (EM)

    Unreviewed Safety Question Determination - Processing Waste in the Waste Characterization Glovebox Unreviewed Safety Question Determination - Processing Waste in the Waste...

  4. Categorical Exclusion Determinations: Science | Department of...

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

    Science Categorical Exclusion Determinations: Science Categorical Exclusion Determinations issued by Science. DOCUMENTS AVAILABLE FOR DOWNLOAD February 9, 2012 CX-008000:...

  5. CX-001459: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-001459: Categorical Exclusion Determination Air Quality VIII: An International Conference on Carbon Management, Mercury, Trace Elements,...

  6. CX-000771: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000771: Categorical Exclusion Determination New York Revised Narrative Information Worksheet for Energy Efficiency Program for...

  7. CX-001276: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001276: Categorical Exclusion Determination Install Photovoltaic Roof System, Energy Efficiency Retrofits, Building Audits, and Hire a Committee...

  8. CX-000477: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000477: Categorical Exclusion Determination Install a Photovoltaic Power Generation Array and Electric Car Charging Stations, Environmental Molecular...

  9. CX-003975: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003975: Categorical Exclusion Determination State Energy Program - American Recovery and Reinvestment Act Green Jobs Training Program -...

  10. CX-001915: Categorical Exclusion Determination | Department of...

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

    15: Categorical Exclusion Determination CX-001915: Categorical Exclusion Determination Green Vision Community Energy Program and Evergreen Municipal Energy Efficiency Program-...

  11. CX-005022: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005022: Categorical Exclusion Determination Small Wind Turbine Regional Test Center, Canyon Texas; National Renewable Energy Laboratory Tracking...

  12. CX-009310: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009310: Categorical Exclusion Determination Optimization of Reservoir Storage Capacity in Different Depositional Environments (Rock...

  13. CX-009311: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009311: Categorical Exclusion Determination Optimization of Reservoir Storage Capacity in Different Depositional Environments (Champaign)...

  14. CX-005490: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005490: Categorical Exclusion Determination Thermal Analysis of Radioactive Materials by Thermagravimetric Analysis, Differential Scanning...

  15. CX-005708: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005708: Categorical Exclusion Determination Phase 3 - Seismic Fracture Characterization Methodologies for Enhanced Geothermal Systems CX(s)...

  16. CX-002132: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002132: Categorical Exclusion Determination Seismic Technology Adapted to Analyzing and Developing Geothermal Systems Below...

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

    DOE Patents [OSTI]

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

    2014-12-30T23:59:59.000Z

    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.

  18. Analysis of Free Will and Determinism in Physics

    E-Print Network [OSTI]

    Edgar Jose Candales Dugarte

    2014-06-27T23:59:59.000Z

    It is considered the study of determinism in the theories of physics. Based on fundamental postulates of physics, it is proved that the evolution of the universe is univocally determined, proving ultimately that free will does not exist. In addition, it is presented some contradictions and weaknesses of quantum mechanics, suggesting paradoxes in the theory. It is also analyzed some consequences of the postulates in justice and ethics.

  19. Determining solar abundances using helioseismology

    E-Print Network [OSTI]

    H. M. Antia; Sarbani Basu

    2006-02-28T23:59:59.000Z

    The recent downward revision of solar photospheric abundances of Oxygen and other heavy elements has resulted in serious discrepancies between solar models and solar structure as determined through helioseismology. In this work we investigate the possibility of determining the solar heavy-element abundance without reference to spectroscopy by using helioseismic data. Using the dimensionless sound-speed derivative in the solar convection zone, we find that the heavy element abundance, Z, of 0.0172 +/- 0.002, which is closer to the older, higher value of the abundances.

  20. 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

  1. 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

  2. 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

  3. Determining Cropland Cash Rental Arrangements

    E-Print Network [OSTI]

    Dhuyvetter, Kevin C.; Kastens, Terry L.; Outlaw, Joe

    1999-06-23T23:59:59.000Z

    Determining Cropland Cash Rental Arrangements Kevin C. Dhuyvetter, Terry L. Kastens and Joe L. Outlaw* Many crop producers rely heavily on rented land in their farming operations. Crop land is typically rented in one of three ways: (1) cash rent; (2...

  4. CX-011104: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coupled Thermo-Mechanical and Photo-Chemical Degradation Mechanisms that Determine the Reliability and Operational Lifetimes for Concentrated Photovoltaic Technologies CX(s) Applied: A9, B3.6 Date: 08/29/2013 Location(s): California Offices(s): Golden Field Office

  5. 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

  6. 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

  7. CX-008738: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. CX-006469: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  14. CX-011286: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heat Integration with Solid Sorbent Based Carbon Dioxide Capture CX(s) Applied: A9 Date: 10/25/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  15. CX-011284: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heat Integration with Solid Sorbent Based Carbon Dioxide Capture CX(s) Applied: B3.6 Date: 10/28/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  16. CX-011308: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heat Integration with Solid Sorbent Based Carbon Dioxide Capture CX(s) Applied: A9 Date: 10/08/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  17. Investigation of protein structure determination

    E-Print Network [OSTI]

    in the manuscript are based on my individual analysis of data acquired by the collaboration at LCLS and on my individual work before experiments at LCLS in preparation laborator

  18. CX-011033: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  19. CX-011032: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. CX-011452: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pilot-Scale Evaluation of an Advanced Carbon Sorbent-Based Process for Post-Combustion Carbon Capture CX(s) Applied: A9 Date: 11/12/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  14. CX-007720: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chromatin Inc. - Plant Based Sesquiterpene Biofuels CX(s) Applied: B3.6 Date: 12/05/2011 Location(s): Kansas, Kentucky, Illinois, Ohio Offices(s): Advanced Research Projects Agency-Energy

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. CX-000240: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Real-Time Capable Methods to Determine the Magnet Temperature of Permanent Magnet

    E-Print Network [OSTI]

    Paderborn, Universität

    }@lea.upb.de Abstract--The permanent magnet synchronous motor (PMSM) is widely used in highly utilised automotive-based magnet temperature determination methods in PMSM. In this context, the existing publications can field. Keywords--PMSM, permanent magnet temperature, model- based real-time determination, motor control

  9. Determining the Appropriate Asset Allocation

    E-Print Network [OSTI]

    Johnson, Jason; Polk, Wade

    2002-08-12T23:59:59.000Z

    more aggres- sive investments, assuming you aren?t averse to risk. As time goes by, your portfolio has less time to recover from market dips, so you might choose to shift gradually to a more conservative asset alloca- tion. E-160 8-02 DETERMINING... assets. Different asset classes have different levels of liquidity. Liquidity is less of a consideration for money invested to meet longer term goals. Diversification Diversification is a key compo- nent of asset allocation. A diversi- fied portfolio...

  10. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costas D. (Port Matilda, PA); Burgard, Anthony R. (State College, PA); Pharkya, Priti (State College, PA)

    2011-09-27T23:59:59.000Z

    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.

  11. Method for determining gene knockouts

    DOE Patents [OSTI]

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

    2013-06-04T23:59:59.000Z

    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.

  12. Determining boiler-water makeup

    SciTech Connect (OSTI)

    Beecher, J.; Herman, K. [Ashland Chemical Co., Boonton, NJ (United States). Drew Industrial Div.

    1995-10-01T23:59:59.000Z

    In boiler operations, it is desirable to determine blowdown--and, thus, the feedwater`s concentration cycles--because it enables operators to calculate the theoretical concentrations of iron, copper or dispersant in the system. These calculations are important for maintaining boiler cleanliness. In practice, however, it isn`t always feasible to determine blowdown. For example, if the steam, feedwater and blowdown flows are not measured in a system, or if the measurements are not accurate, the blowdown and feedwater concentration cycles cannot be accurately determined. Also, if demineralized makeup water with very-low silica concentrations is mixed with essentially silica-free condensate, the ratio of silica in the boiler water to the silica in the feedwater may not yield accurate values for the concentration cycle. This method for calculating concentration cycles is accurate to within 5%, when the accuracy of the parameters measured are within the following limits: steam flow (2%); phosphate, residual (5%); micro calcium (50%); micro iron (25%); and phosphate, feed (10%).

  13. Determining the Overpotential for a Molecular Electrocatalyst

    SciTech Connect (OSTI)

    Appel, Aaron M.; Helm, Monte L.

    2014-02-07T23:59:59.000Z

    “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.

  14. Determination of leakage areas in nuclear piping

    SciTech Connect (OSTI)

    Keim, E. [Siemens/KWU, Erlangen (Germany)

    1997-04-01T23:59:59.000Z

    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.

  15. Helium fine structure theory for determination of Krzysztof Pachucki

    E-Print Network [OSTI]

    Pachucki, Krzysztof

    Helium fine structure theory for determination of Krzysztof Pachucki Institute of Theoretical in the calculation of helium fine-structure splitting of the 23 PJ states, based on the quantum electrodynamic theory by comparison with all experimental results for light helium-like ions and with the known large nuclear charge

  16. GPS position determination using a nonlinear predictive filter 

    E-Print Network [OSTI]

    Webb, Curtis Brandon

    2002-01-01T23:59:59.000Z

    This thesis develops an algorithm for GPS position determination. The algorithm is based on a nonlinear predictive filter and is a non-iterative method which converges over time. This algorithm is shown to provide an optimal correction at each time...

  17. 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.

  18. Determination of linear optics functions from TBT data

    SciTech Connect (OSTI)

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

    2006-05-01T23:59:59.000Z

    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.

  19. December 2002 Issue #10 2002 Determining Biosolid Application Rates

    E-Print Network [OSTI]

    Balser, Teri C.

    December 2002 Issue #10 ­ 2002 Determining Biosolid Application Rates Richard Wolkowski, Extension Chapter NR 204 regulates biosolid (sewage sludge) management in Wisconsin. It requires that University of a crop production pro-gram. Most biosolid application rates are based on the nitrogen (N) need

  20. CX-004196: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-004196: Categorical Exclusion Determination Infrared and Raman Spectroscopy of Biological Safety Level-1 Biological Samples CX(s) Applied:...

  1. CX-000331: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000331: Categorical Exclusion Determination Kentucky Revision 2 - Commercial Office Building Retrofit Showcase CX(s) Applied: B1.4, B1.5,...

  2. CX-000301: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000301: Categorical Exclusion Determination Maryland Revision 1 - Grants to Promote Mid-size Renewables at Private & Government Buildings CX(s)...

  3. CX-003518: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

  4. CX-000815: Categorical Exclusion Determination | Department of...

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

    0815: Categorical Exclusion Determination CX-000815: Categorical Exclusion Determination Hydrogen Technology Laboratory 140 - Chromatography, Wet Laboratory CX(s) Applied: B3.6...

  5. CX-005151: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

  6. CX-005156: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005156: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Lawrence Livermore National Laboratory CX(s)...

  7. CX-005154: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

  8. CX-005159: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

  9. CX-000903: Categorical Exclusion Determination | Department of...

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

    903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

  10. CX-012015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012015: Categorical Exclusion Determination Enhanced Wind Resource Assessment with Sonic Ranging and Detection at Tooele Army Depot CX(s) Applied:...

  11. CX-000658: Categorical Exclusion Determination | Department of...

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

    Determination CX-000658: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment; National Renewable Energy Laboratory Tracking Number 10-009 CX(s)...

  12. CX-002753: Categorical Exclusion Determination | Department of...

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

    Determination CX-002753: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment CX(s) Applied: B3.1 Date: 06212010 Location(s): Deadwood, South...

  13. CX-003226: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003226: Categorical Exclusion Determination Parris Island Wind Resource Assessment; National Renewable Energy Laboratory Tracking Number 10-032 CX(s)...

  14. CX-000940: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000940: Categorical Exclusion Determination Distributed Generation Wind Power at Navy Sites - Second Meteorological tower at Naval Station Newport,...

  15. CX-006074: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  16. CX-002964: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

  17. CX-005201: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern Nevada CX(s) Applied: A9,...

  18. CX-011085: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011085: Categorical Exclusion Determination Alaska Wind Energy Research Project (formally "St. Paul Wind Technology Development Project, Phase 2")...

  19. CX-011295: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011295: Categorical Exclusion Determination Material Dynamics and Kinetics Lab CX(s) Applied: B3.6 Date: 10172013 Location(s): Pennsylvania...

  20. CX-009330: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009330: Categorical Exclusion Determination Gas Hydrate Dynamics on the Alaskan Beaufort Continental Slope: Modeling and Field Characterization CX(s)...

  1. CX-009328: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009328: Categorical Exclusion Determination Gas Hydrate Dynamics on the Alaskan Beaufort Continental Slope: Modeling and Field Characterization CX(s)...

  2. CX-011252: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011252: Categorical Exclusion Determination Concentrating Solar Power Heat Integration for Baseload Renewable Energy Deployment CX(s) Applied: A9...

  3. CX-004374: Categorical Exclusion Determination | Department of...

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

    74: Categorical Exclusion Determination CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date:...

  4. CX-011391: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011391: Categorical Exclusion Determination Municipal Complex Solar Power Project CX(s) Applied: B3.14 Date: 12102013 Location(s): New Jersey...

  5. CX-012261: Categorical Exclusion Determination | Department of...

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

    Determination CX-012261: Categorical Exclusion Determination An Evaluation of the Carbon Sequestration Potential of the Cambro-Ordovician Strata of the Illinois CX(s)...

  6. CX-001159: Categorical Exclusion Determination | Department of...

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

    Determination CX-001159: Categorical Exclusion Determination An Evaluation of the Carbon Sequestration Potential of the Cambro-Ordovician Strata of the Illinois and...

  7. CX-001161: Categorical Exclusion Determination | Department of...

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

    Determination CX-001161: Categorical Exclusion Determination An Evaluation of the Carbon Sequestration Potential of the Cambro-Ordovician Strata of the Illinois and...

  8. CX-008507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008507: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3 Date: 07162012...

  9. CX-007111: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007111: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project (Iatan Generating Station) CX(s) Applied: B3.1...

  10. CX-001163: Categorical Exclusion Determination | Department of...

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

    Determination CX-001163: Categorical Exclusion Determination An Evaluation of the Carbon Sequestration Potential of the Cambro-Ordovician Strata of the Illinois and...

  11. CX-007118: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007118: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project CX(s) Applied: B3.1 Date: 10042011...

  12. CX-009326: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009326: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1 Date: 09282012...

  13. CX-011434: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011434: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase III (Categorical Exclusion (CX)-A Tasks) CX(s)...

  14. CX-003037: Categorical Exclusion Determination | Department of...

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

    Determination CX-003037: Categorical Exclusion Determination Mercury Removal from Clean Coal Processing Air Stream CX(s) Applied: B3.6 Date: 07132010 Location(s): Butte,...

  15. CX-011393: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011393: Categorical Exclusion Determination Build and Test of a Novel, Commercial-Scale Wave Energy Direct Drive Rotary Power Take-Off Under...

  16. CX-007388: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007388: Categorical Exclusion Determination Regional Test Center Project: Solar Technology Acceleration Center (SolarTAC) CX(s) Applied: B1.15,...

  17. CX-012114: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-012114: Categorical Exclusion Determination Test Procedures for Measuring Energy Efficiency of Consumer Products and Industrial Equipment...

  18. CX-008235: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008235: Categorical Exclusion Determination Harnessing the Hydro-Electric Potential of Engineered Drops in the Columbia Basin Project: Phase 1 CX(s)...

  19. CX-012245: Categorical Exclusion Determination | Department of...

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

    5: Categorical Exclusion Determination CX-012245: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Carnegie Mellon CX(s) Applied: A9 Date:...

  20. CX-012253: Categorical Exclusion Determination | Department of...

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

    3: Categorical Exclusion Determination CX-012253: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05272014...

  1. CX-012252: Categorical Exclusion Determination | Department of...

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

    2: Categorical Exclusion Determination CX-012252: Categorical Exclusion Determination Hydro Research Foundation University Research Awards- Cornell CX(s) Applied: A9, B3.16 Date:...

  2. CX-012254: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-012254: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05...

  3. CX-003904: Categorical Exclusion Determination | Department of...

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

    904: Categorical Exclusion Determination CX-003904: Categorical Exclusion Determination Hydro Electric Project - Snohomish Public Utility District CX(s) Applied: A9, A11, B5.1...

  4. CX-012246: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-012246: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - University of Tennessee CX(s) Applied:...

  5. CX-012241: Categorical Exclusion Determination | Department of...

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

    1: Categorical Exclusion Determination CX-012241: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - MIT CX(s) Applied: A9, B3.6 Date: 06...

  6. CX-006681: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006681: Categorical Exclusion Determination New Drilling Location in Section 29 CX(s) Applied: B3.1 Date: 12232009 Location(s): Casper,...

  7. CX-006682: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006682: Categorical Exclusion Determination New Drilling Location in Section 29 (Revision 1) CX(s) Applied: B3.7 Date: 06022010 Location(s):...

  8. CX-003888: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003888: Categorical Exclusion Determination Improved Drilling and Fracturing Fluids for Shale Gas Reservoirs CX(s) Applied: B3.6 Date: 09102010...

  9. CX-000855: Categorical Exclusion Determination | Department of...

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

    Determination CX-000855: Categorical Exclusion Determination 25A5208 - Low-contact Drilling Technology to Enable Economical Engineered Geothermal System Wells CX(s) Applied:...

  10. CX-004015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004015: Categorical Exclusion Determination Arizona Balance of State- Energy Efficiency and Conservation Block Grant Wickenburg CX(s) Applied:...

  11. CX-009555: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009555: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9 Date: 12102012...

  12. CX-000835: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000835: Categorical Exclusion Determination Wachs Cutter Tooling Station (4495) CX(s) Applied: B1.31 Date: 02112010 Location(s): Oak Ridge,...

  13. CX-003208: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003208: Categorical Exclusion Determination Michigan 85% Ethanol Fuel (E85) Infrastructure Project CX(s) Applied: B5.1 Date: 08032010 Location(s):...

  14. CX-003471: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003471: Categorical Exclusion Determination Pennsylvania Ethanol Fuel (E85) Corridor Project - Lew's Service Center CX(s) Applied: B5.1 Date: 0823...

  15. CX-007925: Categorical Exclusion Determination | Department of...

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

    Determination CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02222012 Location(s):...

  16. CX-006048: Categorical Exclusion Determination | Department of...

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

    Determination CX-006048: Categorical Exclusion Determination Severe Environmental Corrosion & Erosion Research Facility (SECERF) CX(s) Applied: B3.6 Date: 06082011...

  17. CX-006395: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006395: Categorical Exclusion Determination Corrosion Tests on Carbon Steel Exposed to Oxalic Acid and a Sludge Simulant CX(s) Applied:...

  18. CX-005801: Categorical Exclusion Determination | Department of...

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

    Determination CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03312011...

  19. CX-006043: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006043: Categorical Exclusion Determination CorrosionElectrochemistry Laboratory CX(s) Applied: B3.6 Date: 06082011 Location(s):...

  20. CX-005861: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005861: Categorical Exclusion Determination Pretreatment Engineering Platform (PEP) Sludge Simulant Preparation CX(s) Applied: B3.6 Date: 03172011...

  1. CX-002138: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002138: Categorical Exclusion Determination Waste Digester Biogas Recovery System CX(s) Applied: B5.1 Date: 04292010 Location(s): Plover, Wisconsin...

  2. CX-001416: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001416: Categorical Exclusion Determination Integration of Solar Energy in the City of Boston's Emergency Preparedness Infrastructure CX(s) Applied:...

  3. CX-009634: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Exclusion Determination CX-009634: Categorical Exclusion Determination Advanced Test Reactor (ATR) Transition to Commercial Power CX(s) Applied: B2.5 Date: 12052012...

  4. Categorical Exclusion Determinations: Office of Energy Efficiency...

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

    Energy Efficiency and Renewable Energy Categorical Exclusion Determinations: Office of Energy Efficiency and Renewable Energy Categorical Exclusion Determinations issued by Energy...

  5. CX-001260: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-001260: Categorical Exclusion Determination Energy Audit, Revolving Loan Program, Mortgage Buy-Down Program, Energy Efficiency Retrofits,...

  6. CX-004629: Categorical Exclusion Determination | Department of...

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

    Determination CX-004629: Categorical Exclusion Determination Seneca Nation of New York Energy Efficiency and Conservation Strategies CX(s) Applied: A1, A9, A11 Date: 1026...

  7. CX-001088: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001088: Categorical Exclusion Determination City of New York American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant...

  8. CX-002168: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002168: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  9. CX-001403: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001403: Categorical Exclusion Determination West New York Energy Efficiency Projects CX(s) Applied: B5.1 Date: 04092010 Location(s): West New...

  10. CX-009133: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009133: Categorical Exclusion Determination New York Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date:...

  11. CX-001636: Categorical Exclusion Determination | Department of...

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

    Determination CX-001636: Categorical Exclusion Determination Alexandria Bay, New York, Met Tower: General Services Administration Border Station CX(s) Applied: B3.1, A9...

  12. CX-002167: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002167: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  13. CX-000935: Categorical Exclusion Determination | Department of...

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

    Determination CX-000935: Categorical Exclusion Determination Onondaga County, New York Energy Efficiency and Conservation Block Grant - American Recovery and Reinvestment Act...

  14. CX-006748: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006748: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  15. CX-007020: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-007020: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  16. CX-005747: Categorical Exclusion Determination | Department of...

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

    Determination CX-005747: Categorical Exclusion Determination Biobased Materials Automotive Value Chain Market Development Analysis CX(s) Applied: A9 Date: 05042011...

  17. CX-012117: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012117: Categorical Exclusion Determination Fuel Cell Hybrid Walk-In Van Deployment Project CX(s) Applied: A9 Date: 05212014 Location(s):...

  18. CX-005892: Categorical Exclusion Determination | Department of...

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

    Determination CX-005892: Categorical Exclusion Determination Columbia River Inter-Tidal Fish Commission Use of White Bluffs Boat Launch and Hanford Town Boat Ramp for Salmon...

  19. CX-002773: Categorical Exclusion Determination | Department of...

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

    Determination CX-002773: Categorical Exclusion Determination Idaho Department of Fish and Game Purchase of Crystal Springs Trout Farm - Snake River Sockeye Captive...

  20. CX-000586: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination CX-000586: Categorical Exclusion Determination 25A1455 - Carbon Dioxide Capture with Enzyme Synthetic Analogue Date: 12152009 Location(s):...

  1. CX-012247: Categorical Exclusion Determination | Department of...

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

    Determination CX-012247: Categorical Exclusion Determination Installation of Solar Photovoltaic Systems CX(s) Applied: A9, B5.16 Date: 06182014 Location(s): Wisconsin, Wisconsin...

  2. CX-006539: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006539: Categorical Exclusion Determination Boulder Wind Power Advanced Gearless Drivetrain CX(s) Applied: A9, B3.6 Date: 08252011 Location(s):...

  3. CX-009898: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009898: Categorical Exclusion Determination 25A1455 - CO2 Capture with Enzyme Synthetic Analogue CX(s) Applied: B3.6 Date: 12152009...

  4. CX-009710: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009710: Categorical Exclusion Determination Spring Creek - Wine County No. 1 Transmission Tower Relocation CX(s) Applied: B4.6 Date: 11292012...

  5. CX-000571: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000571: Categorical Exclusion Determination Photovoltaic Panel Installation (Building 833, TA-I) CX(s) Applied: B5.1 Date: 12102009...

  6. CX-008563: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06132012...

  7. CX-007872: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007872: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  8. CX-007873: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  9. CX-009914: Categorical Exclusion Determination | Department of...

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

    Determination CX-009914: Categorical Exclusion Determination Plug & Play Solar Photovoltaic for American Homes CX(s) Applied: A9, B3.6 Date: 01282013 Location(s):...

  10. CX-000653: Categorical Exclusion Determination | Department of...

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

    Determination CX-000653: Categorical Exclusion Determination Helios - Project: Photovoltaic Crystalline Module Assembly Plant CX(s) Applied: B5.1 Date: 01272010 Location(s):...

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

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

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

  12. CX-005993: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005993: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.1 Date: 05262011...

  13. CX-001393: Categorical Exclusion Determination | Department of...

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

    Determination CX-001393: Categorical Exclusion Determination High Penetration of Photovoltaic Generation - Award Number DE-EE0002060 Date: 03212010 Location(s): Arizona...

  14. CX-001654: Categorical Exclusion Determination | Department of...

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

    Determination CX-001654: Categorical Exclusion Determination Burlington County Photovoltaic (PV) System CX(s) Applied: B5.1 Date: 04092010 Location(s): County of Burlington,...

  15. CX-003378: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003378: Categorical Exclusion Determination Photovoltaic Solar Cell Fabrication Alkaline Texturing Process Improvement CX(s) Applied: B3.6...

  16. CX-011621: Categorical Exclusion Determination | Department of...

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

    Determination CX-011621: Categorical Exclusion Determination Windy Gap-Granby Pumping Plant and Granby Pumping Plant-Mary's Lake (West Portal) 69-kilovolt Transmission...

  17. CX-002511: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002511: Categorical Exclusion Determination Rhode Island Green Public Buildings Initiative CX(s) Applied: A9, B5.1 Date: 05282010 Location(s):...

  18. CX-000988: Categorical Exclusion Determination | Department of...

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

    988: Categorical Exclusion Determination CX-000988: Categorical Exclusion Determination Green Energy Works - Combined Heat and Power - Geisinger Medical Center CX(s) Applied: A9,...

  19. CX-002945: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002945: Categorical Exclusion Determination Pennsylvania Green Energy Works Targeted Grant - Native Energy Biogas Project CX(s) Applied: B1.15,...

  20. CX-007365: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007365: Categorical Exclusion Determination Integration of the Green Lane Energy Biogas Generator CX(s) Applied: B1.7 Date: 11172011 Location(s):...

  1. CX-008228: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-008228: Categorical Exclusion Determination Hydropower Energy Resource (HyPER) Harvester CX(s) Applied: A9 Date: 04112012 Location(s):...

  2. CX-003856: Categorical Exclusion Determination | Department of...

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

    Determination CX-003856: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation and Air Conditioning (HVAC) Upgrade CX(s) Applied: B5.1...

  3. CX-007003: Categorical Exclusion Determination | Department of...

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

    Determination CX-007003: Categorical Exclusion Determination Missile System Low-Earth Orbit Nanosatellite Integrated Defense Autonomous System Component Development CX(s)...

  4. CX-002034: Categorical Exclusion Determination | Department of...

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

    Determination CX-002034: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation, and Air Conditioning Upgrade CX(s) Applied: B3.1, A9...

  5. CX-006083: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006083: Categorical Exclusion Determination Ground Source Heat Pump Installation - Lac Qui Parle County Courthouse, Minnesota CX(s) Applied: B5.1 Date:...

  6. CX-001197: Categorical Exclusion Determination | Department of...

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

    Determination CX-001197: Categorical Exclusion Determination Geothermal Heat Pump System for New Student Housing at University at Albany
    CX(s) Applied:...

  7. CX-009579: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009579: Categorical Exclusion Determination Wind Turbine Installation for Town of Drummond CX(s) Applied: B5.18 Date: 12192012 Location(s):...

  8. CX-002856: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002856: Categorical Exclusion Determination Wind Turbine Development CX(s) Applied: B3.6, A9 Date: 07022010 Location(s): Bozeman, Montana...

  9. CX-001642: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001642: Categorical Exclusion Determination Wind Turbine Castings Manufacturer CX(s) Applied: B5.1 Date: 04072010 Location(s): Wisconsin...

  10. CX-003230: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003230: Categorical Exclusion Determination Wind Turbine Gearbox Remanufacturing CX(s) Applied: B2.2, B5.1 Date: 08042010 Location(s):...

  11. CX-003198: Categorical Exclusion Determination | Department of...

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

    Determination CX-003198: Categorical Exclusion Determination High Efficiency Low Cost Solar Cells (HELSOLAR) CX(s) Applied: B3.6 Date: 08042010 Location(s): California...

  12. CX-009299: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009299: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: B3.6...

  13. CX-009298: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009298: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: B3.6...

  14. CX-012201: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-012201: Categorical Exclusion Determination Optimization of Microwave Telecommunication System ON Line Nevada Transmission Project, f.k.a....

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

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

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

  16. CX-003632: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003632: Categorical Exclusion Determination Analysis of Evaporator Scale Sample CX(s) Applied: B3.6 Date: 08102010 Location(s): Aiken,...

  17. CX-003163: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003163: Categorical Exclusion Determination Technical Analysis for Geothermal System CX(s) Applied: A9, B3.1 Date: 07082010 Location(s): South...

  18. CX-001616: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-001616: Categorical Exclusion Determination Analysis of Multiple Pathways for Converting Coal to Liquid Transportation Fuels CX(s)...

  19. CX-002549: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002549: Categorical Exclusion Determination Technical Analysis for Geothermal System CX(s) Applied: B3.1, A9 Date: 05192010 Location(s): South...

  20. CX-008011: Categorical Exclusion Determination | Department of...

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

    Determination CX-008011: Categorical Exclusion Determination Install EMSL Super-Computer Power Infrastructure CX(s) Applied: B1.7 Date: 06302011 Location(s): Washington...

  1. CX-001247: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-001247: Categorical Exclusion Determination Biodiesel Tank Installation, Solar Installations, and Home Upgrades CX(s) Applied: A1, A9,...

  2. CX-006825: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006825: Categorical Exclusion Determination Wisconsin Biodiesel Blending Program CX(s) Applied: A9, B5.1 Date: 09292011 Location(s): Milwaukee,...

  3. CX-006474: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006474: Categorical Exclusion Determination Biodiesel Crusher and Dryer Facility Upgrades CX(s) Applied: B5.1 Date: 08092011...

  4. CX-000998: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000998: Categorical Exclusion Determination Biodiesel Infrastructure Project (Coulee) CX(s) Applied: A1, A9, B5.1 Date: 01272010...

  5. CX-000712: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000712: Categorical Exclusion Determination Biodiesel Infrastructure Project (Coulee) CX(s) Applied: A1, A9, B5.1 Date: 01272010...

  6. CX-006500: Categorical Exclusion Determination | Department of...

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

    Determination CX-006500: Categorical Exclusion Determination Magellan Des Moines Biodiesel Terminal Project CX(s) Applied: B5.1 Date: 09062011 Location(s): Des Moines, Iowa...

  7. CX-009028: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009028: Categorical Exclusion Determination "Wisconsin Biodiesel Blending Program CX(s) Applied: B5.22 Date: 08222012 Location(s): Wisconsin...

  8. CX-008615: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008615: Categorical Exclusion Determination Cleaning of Depleted Uranium Metal CX(s) Applied: B3.6 Date: 06262012 Location(s): South Carolina...

  9. CX-002698: Categorical Exclusion Determination | Department of...

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

    98: Categorical Exclusion Determination CX-002698: Categorical Exclusion Determination Seismic Testing (Under Task 5 of Statement of Project Objectives) CX(s) Applied: B3.1 Date:...

  10. CX-003495: Categorical Exclusion Determination | Department of...

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

    5: Categorical Exclusion Determination CX-003495: Categorical Exclusion Determination Seismic Fracture Characterization Methodologies for Enhanced Geothermal Systems CX(s) Applied:...

  11. CX-005052: Categorical Exclusion Determination | Department of...

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

    Determination CX-005052: Categorical Exclusion Determination Shoot 2-Dimensional Seismic at Characterization Site CX(s) Applied: B3.1 Date: 01192011 Location(s): Craig,...

  12. CX-001422: Categorical Exclusion Determination | Department of...

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

    Determination CX-001422: Categorical Exclusion Determination A 3D-3C Reflection Seismic Survey and Data Integration to Identify the Seismic Response of Fractures and...

  13. CX-011510: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Categorical Exclusion Determination CX-011510: Categorical Exclusion Determination Thermal-Chemical Decomposition of Graphite CX(s) Applied: B3.6 Date: 10172013 Location(s):...

  14. CX-004173: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-004173: Categorical Exclusion Determination Steam Reforming Treatability Study with Savannah River Site Low Activity Waste (LAW) (Module...

  15. CX-003040: Categorical Exclusion Determination | Department of...

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

    40: Categorical Exclusion Determination CX-003040: Categorical Exclusion Determination Propane Corridor Development Program CX(s) Applied: A1, A7, B5.1 Date: 07132010...

  16. CX-003757: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003757: Categorical Exclusion Determination Propane Vehicle Conversion CX(s) Applied: A1, A9, B5.1 Date: 09082010 Location(s):...

  17. CX-002974: Categorical Exclusion Determination | Department of...

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

    74: Categorical Exclusion Determination CX-002974: Categorical Exclusion Determination Propane Corridor Development Program - Greenville, South Carolina CX(s) Applied: A1, A7, B5.1...

  18. CX-001297: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001297: Categorical Exclusion Determination Clean Start Propane Refueling, Vehicle Incentive and Outreach CX(s) Applied: A7 Date: 03222010...

  19. CX-003024: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003024: Categorical Exclusion Determination Clean Start Propane Refueling, Vehicle Incentive and Outreach CX(s) Applied: B5.1 Date: 07132010...

  20. CX-002972: Categorical Exclusion Determination | Department of...

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

    2: Categorical Exclusion Determination CX-002972: Categorical Exclusion Determination Propane Corridor Development Program - Traveler's Rest, South Carolina CX(s) Applied: A1, A7,...

  1. CX-010839: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-010839: Categorical Exclusion Determination Raman and Absorption Spectroscopy CX(s) Applied: B3.6 Date: 07312013 Location(s): South Carolina...

  2. CX-003877: Categorical Exclusion Determination | Department of...

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

    Determination CX-003877: Categorical Exclusion Determination Hybrid MembraneAbsorption Process for Post-Combustion Carbon Dioxide Capture CX(s) Applied: B3.6 Date: 0910...

  3. CX-010838: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-010838: Categorical Exclusion Determination Raman and Absorption Spectroscopy CX(s) Applied: B3.6 Date: 07312013 Location(s): South Carolina...

  4. CX-010910: Categorical Exclusion Determination | Department of...

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

    Determination CX-010910: Categorical Exclusion Determination Hybrid Membrane-Absorption Carbon Dioxide (CO2) Capture Process CX(s) Applied: B3.6 Date: 09252013...

  5. CX-003876: Categorical Exclusion Determination | Department of...

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

    Determination CX-003876: Categorical Exclusion Determination Hybrid MembraneAbsorption Process for Post-Combustion Carbon Dioxide Capture CX(s) Applied: B3.6 Date: 0910...

  6. CX-004394: Categorical Exclusion Determination | Department of...

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

    Determination CX-004394: Categorical Exclusion Determination Hybrid MembraneAbsorption Process for Post-Combustion Carbon Dioxide Capture CX(s) Applied: B3.6 Date: 1105...

  7. CX-010911: Categorical Exclusion Determination | Department of...

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

    Determination CX-010911: Categorical Exclusion Determination Hybrid Membrane-Absorption Carbon Dioxide (CO2) Capture Process CX(s) Applied: B3.6 Date: 09252013...

  8. CX-007663: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-007663: Categorical Exclusion Determination Construction of a Connector Road Between the Construction Administration Complex (CAC) and the...

  9. CX-005684: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-005684: Categorical Exclusion Determination Construction and Operation of a Cask Processing Enclosure (CPE) at the Transuranic (TRU) Waste...

  10. CX-001992: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001992: Categorical Exclusion Determination Northern New Mexico (NM) College CX(s) Applied: B5.1 Date: 02222010 Location(s): Espanola, New Mexico...

  11. CX-010132: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-010132: Categorical Exclusion Determination 235-F Risk Reduction and Deactivation CX(s) Applied: B1.28 Date: 03122013 Location(s): South...

  12. Structure determination of enterovirus 71

    SciTech Connect (OSTI)

    Plevka, Pavel; Perera, Rushika; Cardosa, Jane; Kuhn, Richard J.; Rossmann, Michael G. (Purdue); (Sentinext)

    2013-02-20T23:59:59.000Z

    Enterovirus 71 is a picornavirus that causes hand, foot and mouth disease but may induce fatal neurological illness in infants and young children. Enterovirus 71 crystallized in a body-centered orthorhombic space group with two particles in general orientations in the crystallographic asymmetric unit. Determination of the particle orientations required that the locked rotation function excluded the twofold symmetry axes from the set of icosahedral symmetry operators. This avoided the occurrence of misleading high rotation-function values produced by the alignment of icosahedral and crystallographic twofold axes. Once the orientations and positions of the particles had been established, the structure was solved by molecular replacement and phase extension.

  13. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

    of Oammittee) Ra A. ietrzch C. J ~) Daru. I (Heai of August l987 Price Detezlainatian for Breeding Bulls. (August 1987) Jerry Carl Namkan, B. S. , Texas A&M University; Chair of Advisory Committee: Dr. Donald E. Ferris A study using two different data... sets was conducted to determine the factors affecting the price of zmg~ Hereford hulls. In the first data set, both ~ and lagged national ~ feeder steer, utility cow, and crude oil prices, and net farm income were analyzed in a regzmsion procedure...

  14. CX-003311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Metal Oxide Nanostructure-Based Optical Sensors for Fossil Energy Derived Gas MeasurementCX(s) Applied: B3.6Date: 08/05/2010Location(s): Pittsburgh, PennsylvaniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  15. CX-009855: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. CX-005276: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  3. 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

  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-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

  6. 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

  7. CX-000649: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Altus Air Force Base Meteorological Tower; National Renewable Energy Laboratory Tracking Number 10-005CX(s) Applied: B3.1Date: 01/26/2010Location(s): OklahomaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  8. 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

  9. CX-012686: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  10. 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

  11. 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

  12. CX-011107: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  13. CX-005956: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  14. 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

  15. 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

  16. 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

  17. CX-000268: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Efficiency, Low-Cost, Multijunction Solar Cells Based on Epitaxial Liftoff and Wafer Bonding; National Renewable Energy Laboratory Tracking Number 09-041CX(s) Applied: B3.6Date: 12/28/2009Location(s): IllinoisOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  18. 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

  19. 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

  20. Determination of Thermoelectric Module Efficiency A Survey

    SciTech Connect (OSTI)

    Wang, Hsin [ORNL; McCarty, Robin [Marlow Industries, Inc; Salvador, James R. [GM R& D and Planning, Warren, Michigan; Yamamoto, Atsushi [AIST, Japan; Konig, Jan [Fraunhofer-Institute, Freiburg, Germany

    2014-01-01T23:59:59.000Z

    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.

  1. 1

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

    how DOE is working with recipients to advance synchrophasor technologies, visit www.smartgrid.gov. There you will find a case study on the Western Interconnection Phasor Project....

  2. Table of Contents

    Energy Savers [EERE]

    communications network technologies for networking synchrophasors. They include: fiber optics, microwave, and even broadband over powerline (BPL). 118 The NASPInet architecture...

  3. EPICS BASE

    Energy Science and Technology Software Center (OSTI)

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

  4. Fuzzy logic approach in determining the range of electric vehicle

    SciTech Connect (OSTI)

    Singh, H.; Bawa, H.S.; Barada, S.; Bryant, B.; Anneberg, L. [Wayne State Univ., Detroit, MI (United States). Dept. of Electrical and Computer Engineering

    1994-12-31T23:59:59.000Z

    Some efforts are underway in the automobile industry to determine the distance which an electric car will be able to traverse based on some typical battery conditions. A software package DIANE for modelling battery performance in electric vehicles has recently been developed by Marr, Walsh and Symons (1990). The objective of this paper is to introduce fuzzy logic approach in applying correction factor to the range determined by DIANE. The overall algorithm has been implemented for 8 different cars and 5 different batteries. 5 refs.

  5. Sorption preconcentration of vanadium for its determination in sea water

    SciTech Connect (OSTI)

    Andreeva, I.Yu.; Lebedeva, L.I.; Izotova, Yu.A.; Danilova, E.Ya.

    1987-08-10T23:59:59.000Z

    This work is devoted to a study of the conditions of vanadium sorption by a fibrous sorbent with a view to evolving a procedure for its determination in sea water. The sorbent was the same as used by them earlier for molybdenum preconcentration. It is a fiber based on polyethylenepolyamine-modified polyacrylonitrile. The sorbent contained 80% tertiary and approx. = 20% primary and secondary amino groups. Static exchange capacity of the sorbent relative to HCl 2 mmole/g, swelling 34%, fiber diameter 0.016 mm. The vanadium content was determined photometrically using acidic chromium blue K.

  6. Non-destructive method for determining neutron exposure

    DOE Patents [OSTI]

    Gold, R.; McElroy, W.N.

    1983-11-01T23:59:59.000Z

    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.

  7. CX-008152: Categorical Exclusion Determination | Department of...

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

    Determination CX-008152: Categorical Exclusion Determination Whitefish In-line Hydroelectric Project CX(s) Applied: B4.1 Date: 05012012 Location(s): Montana Offices(s):...

  8. CX-000308: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000308: Categorical Exclusion Determination Connecticut Revision 2 - Retrofit 9 State Buildings CX(s) Applied: A9, A11, B1.3, B1.4, B1.5, B1.15,...

  9. CX-000298: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000298: Categorical Exclusion Determination Maryland Revision 1 - EmPOWERing Financing Initiative CX(s) Applied: A1, A7, A9, A11, B1.3, B1.4,...

  10. CX-000302: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000302: Categorical Exclusion Determination Maryland Revision 1 - State Agency Loans Programs CX(s) Applied: A1, A7, A9, A11, B1.3, B1.4, B1.5,...

  11. CX-000316: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000316: Categorical Exclusion Determination Massachusetts Revision 1 - High Performance Buildings Program CX(s) Applied: B1.15, B1.22, B1.23, B1.31,...

  12. CX-006273: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006273: Categorical Exclusion Determination Center for Biomass Utilization Renewal of Grant DE-FG36-08GO88054 CX(s) Applied: A9, B3.6, B5.1 Date:...

  13. CX-004507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004507: Categorical Exclusion Determination Center for Biomass Utilization 2010 CX(s) Applied: A9, B3.6, B5.1 Date: 11192010 Location(s): Grand...

  14. CX-011803: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011803: Categorical Exclusion Determination South Louisiana EORSequestration Research and Development Project CX(s) Applied: A1, A9, A11, B3.6 Date:...

  15. CX-008442: Categorical Exclusion Determination | Department of...

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

    Determination CX-008442: Categorical Exclusion Determination Arizona Power Partners - Smart Grid Data Access from an Advanced Meter Reading Network CX(s) Applied: A9, B5.1...

  16. CX-003516: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003516: Categorical Exclusion Determination BioEnergy Initiative for Connecticut CX(s) Applied: A9, B3.6, B5.1 Date: 08242010...

  17. CX-010707: Categorical Exclusion Determination | Department of...

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

    7: Categorical Exclusion Determination CX-010707: Categorical Exclusion Determination Outdoor, Small-and Pilot-Scale Research and Development CX(s) Applied: A9, B1.24, B3.4, B3.6,...

  18. CX-003872: Categorical Exclusion Determination | Department of...

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

    72: Categorical Exclusion Determination CX-003872: Categorical Exclusion Determination Sustainable Energy Options for Rural Nebraska CX(s) Applied: A9, B3.6, B5.1 Date: 09082010...

  19. CX-000683: Categorical Exclusion Determination | Department of...

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

    3: Categorical Exclusion Determination CX-000683: Categorical Exclusion Determination Materials and Fuel Complex Dial Room Replacement Project CX(s) Applied: B1.7, B1.15 Date: 02...

  20. CX-010690: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-010690: Categorical Exclusion Determination Alaska Wind Energy Research Project CX(s) Applied: A9, B2.2, B3.1 Date: 07032013 Location(s): Alaska...

  1. CX-011810: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011810: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership Phase III - Subtask 1.7 CX(s) Applied: B3.1, B3.7 Date:...

  2. CX-008508: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008508: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3, B5.13 Date: 07...

  3. CX-008505: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008505: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3, B1.3 Date: 07...

  4. CX-011464: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011464: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1, B3.7 Date: 10312013...

  5. CX-003734: Categorical Exclusion Determination | Department of...

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

    Determination CX-003734: Categorical Exclusion Determination Hydrogen Separation for Clean Coal CX(s) Applied: A9, A11, B3.6 Date: 09172010 Location(s): Laramie, Wyoming...

  6. CX-010572: Categorical Exclusion Determination | Department of...

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

    Determination CX-010572: Categorical Exclusion Determination Brown University - Marine Hydro-Kinetic Energy Harvesting Using Cyber-Physical Systems CX(s) Applied: B3.6 Date: 02...

  7. CX-002855: Categorical Exclusion Determination | Department of...

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

    Determination CX-002855: Categorical Exclusion Determination Whitefish In-Line Hydro-Electric Project CX(s) Applied: B5.1 Date: 07012010 Location(s): Whitefish, Montana...

  8. CX-004296: Categorical Exclusion Determination | Department of...

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

    Determination CX-004296: Categorical Exclusion Determination Oaks Springs Hatchery Hydro CX(s) Applied: B5.1 Date: 10202010 Location(s): Oregon Office(s): Energy Efficiency...

  9. CX-006729: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006729: Categorical Exclusion Determination Liner Drilling CX(s) Applied: B1.3, B3.7, B5.12 Date: 04272010 Location(s): Casper, Wyoming...

  10. CX-006719: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006719: Categorical Exclusion Determination Casing Drilling Test CX(s) Applied: B1.3, B3.7, B5.12 Date: 05172011 Location(s): Casper, Wyoming...

  11. CX-011383: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011383: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9, B5.1 Date: 12...

  12. CX-002393: Categorical Exclusion Determination | Department of...

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

    Determination CX-002393: Categorical Exclusion Determination Dewatering of Fine Coal Pellets CX(s) Applied: B3.6 Date: 05242010 Location(s): Lexington, Kentucky Office(s):...

  13. CX-003416: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003416: Categorical Exclusion Determination Biomass Fuel Pellets CX(s) Applied: B2.5, B5.1 Date: 08162010 Location(s): Green Bay, Wisconsin...

  14. CX-010239: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-010239: Categorical Exclusion Determination Low-Cost Gas Heat Pump for Building Space Heating CX(s) Applied: A9, B3.6 Date: 02142013 Location(s):...

  15. CX-008514: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-008514: Categorical Exclusion Determination Corrosion and Scale at Extreme Temperature and Pressure CX(s) Applied: A9, A11, B3.6 Date: 07...

  16. CX-003756: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003756: Categorical Exclusion Determination Design and Engineering of Maricopa City Hall CX(s) Applied: A1, A9, B2.1, B2.4, B5.1 Date: 09082010...

  17. CX-005122: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005122: Categorical Exclusion Determination Missouri Biogas 5 - Saint Joseph LandfillKansas City Power and Light CX(s) Applied: B5.1 Date: 0125...

  18. CX-100035: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100035: Categorical Exclusion Determination Fabricate-on-Demand Vacuum Insulating Glazings CX(s) Applied: A9, B3.6 Date: 08132014 Location(s):...

  19. CX-012109: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-012109: Categorical Exclusion Determination Solar Energy Parking Canopy Demonstration Project CX(s) Applied: A9, B1.15, B5.16 Date: 0505...

  20. CX-009394: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009394: Categorical Exclusion Determination New York-City-North Hempstead, Town of CX(s) Applied: A9, B5.1 Date: 10012012 Location(s): New...

  1. CX-000193: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000193: Categorical Exclusion Determination New York City Buffalo CX(s) Applied: A9, B5.1 Date: 11182009 Location(s): Buffalo, New York...

  2. CX-002070: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002070: Categorical Exclusion Determination New York-City-Albany CX(s) Applied: A1, A9, A11, B1.32, B5.1 Date: 04132010 Location(s):...

  3. CX-004293: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-004293: Categorical Exclusion Determination New York Canyon Stimulation CX(s) Applied: A9, B3.1, B5.1 Date: 10202010 Location(s):...

  4. CX-008147: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008147: Categorical Exclusion Determination Down Hole Hammer CX(s) Applied: B3.7 Date: 09082011 Location(s): Wyoming Offices(s): RMOTC The...

  5. CX-010509: Categorical Exclusion Determination | Department of...

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

    Determination CX-010509: Categorical Exclusion Determination Plug & Play Solar Photovoltaic for American Homes CX(s) Applied: A9, B3.6, B5.16 Date: 06102013 Location(s):...

  6. CX-009558: Categorical Exclusion Determination | Department of...

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

    Determination CX-009558: Categorical Exclusion Determination PMVI Bay Area Photovoltaic Consortium CX(s) Applied: A9, B3.15, B3.6 Date: 12042012 Location(s): California...

  7. CX-003753: Categorical Exclusion Determination | Department of...

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

    3: Categorical Exclusion Determination CX-003753: Categorical Exclusion Determination Green Business Incentive Program CX(s) Applied: A1, A9, B1.2, B5.1, B6.8 Date: 09082010...

  8. CX-005014: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005014: Categorical Exclusion Determination Creating Green Talent in the Southwest CX(s) Applied: A9, B5.1 Date: 01122011 Location(s): New...

  9. CX-003698: Categorical Exclusion Determination | Department of...

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

    698: Categorical Exclusion Determination CX-003698: Categorical Exclusion Determination Green Education CX(s) Applied: A1, A9, B1.2, B5.1 Date: 09082010 Location(s): Maricopa,...

  10. CX-001468: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001468: Categorical Exclusion Determination North Carolina Green Business Fund CX(s) Applied: B2.2, B2.5, A9, A11, B5.1 Date: 04022010 Location(s):...

  11. CX-003658: Categorical Exclusion Determination | Department of...

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

    Determination CX-003658: Categorical Exclusion Determination City of Hendersonville Green Building Incentive Program CX(s) Applied: A1, B1.2, B5.1 Date: 08302010...

  12. CX-005989: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005989: Categorical Exclusion Determination Ground Source Heat Pump Retrofit CX(s) Applied: B5.1 Date: 05312011 Location(s): Idaho Office(s): Energy...

  13. CX-001083: Categorical Exclusion Determination | Department of...

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

    Determination CX-001083: Categorical Exclusion Determination Optimal Ground-Source Heat Pump System Design CX(s) Applied: A9 Date: 03092010 Location(s): New Jersey Office(s):...

  14. CX-001733: Categorical Exclusion Determination | Department of...

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

    Determination CX-001733: Categorical Exclusion Determination Virginia Beach Wind Turbine Demonstration Project CX(s) Applied: B3.6, A9, A11, B5.1 Date: 04222010...

  15. CX-005731: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination CX-005731: Categorical Exclusion Determination Seadrift Wind Turbine CX(s) Applied: B5.1 Date: 04212011 Location(s): Calhoun County, Texas Office(s):...

  16. CX-006831: Categorical Exclusion Determination | Department of...

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

    Determination CX-006831: Categorical Exclusion Determination Cost Effective Polymer Solar Cells Research and Education CX(s) Applied: A9, B3.6 Date: 09212011 Location(s):...

  17. CX-010688: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-010688: Categorical Exclusion Determination Optimization Project 3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07262013 Location(s):...

  18. CX-010687: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-010687: Categorical Exclusion Determination Optimization Project Area 1 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07262013 Location(s):...

  19. CX-010541: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-010541: Categorical Exclusion Determination Optimization Project Area 2 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 06282013 Location(s):...

  20. CX-007921: Categorical Exclusion Determination | Department of...

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

    Determination CX-007921: Categorical Exclusion Determination Darlington County Biodiesel Buses CX(s) Applied: A1, B1.15, B2.2, B5.22 Date: 02242012 Location(s): South...

  1. CX-000711: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000711: Categorical Exclusion Determination Biodiesel In-line Blending Project (Innovation) CX(s) Applied: A1, A9, B5.1 Date: 01272010...

  2. CX-000999: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000999: Categorical Exclusion Determination Biodiesel In-line Blending Project (Innovation) CX(s) Applied: A1, A9, B5.1 Date: 01272010...

  3. CX-006952: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006952: Categorical Exclusion Determination Install Two New Steam Line Poles to Replace Poles K164 and K165 in 105-K Area CX(s) Applied: B1.3 Date:...

  4. CX-000521: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000521: Categorical Exclusion Determination Cut and Cap 325 Steam Supply Header, 261-H Consolidated Incineration Facility CX(s) Applied: B1.27 Date: 09...

  5. CX-009055: Categorical Exclusion Determination | Department of...

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

    Determination CX-009055: Categorical Exclusion Determination Removal of Out-of-Service Steam Line Segment CX(s) Applied: B1.23 Date: 07262012 Location(s): South Carolina...

  6. CX-009629: Categorical Exclusion Determination | Department of...

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

    Determination CX-009629: Categorical Exclusion Determination Removal of Out-of-Service Steam Line Segment; D-Area to Ameresco Biomass Cogeneration Facility CX(s) Applied: B1.23...

  7. CX-003479: Categorical Exclusion Determination | Department of...

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

    Determination CX-003479: Categorical Exclusion Determination National Open-Ocean Energy Laboratory CX(s) Applied: A9, A11, B3.1, B3.3, B3.6 Date: 08182010 Location(s):...

  8. CX-002976: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-002976: Categorical Exclusion Determination Propane Corridor Development Program CX(s) Applied: A1, A7, B5.1 Date: 07092010 Location(s):...

  9. CX-004358: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-004358: Categorical Exclusion Determination New Mexico-Tribe-Pueblo of Laguna Utility Authority CX(s) Applied: A9, B2.5, B5.1 Date: 1103...

  10. CX-002929: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002929: Categorical Exclusion Determination New Mexico-Tribe-Pueblo of Nambe CX(s) Applied: B2.5, B5.1 Date: 06282010 Location(s): Nambe,...

  11. CX-003012: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003012: Categorical Exclusion Determination New Mexico-Tribe-Pueblo of Santa Clara CX(s) Applied: B5.1 Date: 07082010 Location(s): Santa...

  12. CX-004359: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-004359: Categorical Exclusion Determination New Mexico-Tribe-Santa Ana Pueblo CX(s) Applied: B5.1 Date: 11032010 Location(s): Santa Ana...

  13. CX-001991: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001991: Categorical Exclusion Determination Northern New Mexico College - El Rito Campus CX(s) Applied: B5.1 Date: 02222010 Location(s): New Mexico...

  14. CX-009539: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009539: Categorical Exclusion Determination New Mexico-Tribe-Santa Ana Pueblo CX(s) Applied: A9, B5.1 Date: 11212012 Location(s): New...

  15. Determination of the CKM Element V(Ub)

    SciTech Connect (OSTI)

    Fortin, Dominique; /Victoria U.

    2007-04-06T23:59:59.000Z

    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.

  16. Structural determination of intact proteins using mass spectrometry

    DOE Patents [OSTI]

    Kruppa, Gary (San Francisco, CA); Schoeniger, Joseph S. (Oakland, CA); Young, Malin M. (Livermore, CA)

    2008-05-06T23:59:59.000Z

    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.

  17. CX-006751: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination University of Alabama at Birmingham Graduate Automotive Technology Education Center for Lightweight Materials and Manufacturing for...

  18. CX-002474: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Full Scale Testing Characterization, System Optimization, Demonstration of Grid Connected Wind Turbines and Wind Powered Water Desalination...

  19. Determination and Characterization of Ice Propagation Mechanisms on Surfaces Undergoing Dropwise Condensation

    E-Print Network [OSTI]

    Dooley, Jeffrey B.

    2011-08-08T23:59:59.000Z

    The mechanisms responsible for ice propagation on surfaces undergoing dropwise condensation have been determined and characterized. Based on experimental data acquired non-invasively with high speed quantitative microscopy, the freezing process...

  20. Mass Resolving Power Requirement for Molecular Formula Determination of Fossil Oils

    E-Print Network [OSTI]

    Weston, Ken

    Mass Resolving Power Requirement for Molecular Formula Determination of Fossil Oils Chang Samuel numbers based on the molecular formulas determined from accurate mass measurement.1 We have reported of molecular formulas of the components is reviewed. The resolving power required for overlapping compound