Sample records for degradation factors table

  1. SCIAMACHY MONITORING FACTORS: OBSERVATION AND END-TO-END CORRECTION OF INSTRUMENT PERFORMANCE DEGRADATION

    E-Print Network [OSTI]

    Tilstra, Gijsbert

    DEGRADATION Klaus Bramstedt1 , Stefan No¨el1 , Heinrich Bovensmann1 , John P. Burrows1 , Christophe Lerot2-factors. Key words: SCIAMACHY; m-factors; degradation; mon- itoring. 1. INTRODUCTION SCIAMACHY [1] is now seven's precursor Global Ozone Monitoring Experiment (GOME), the performance of the instrument is degrading

  2. ORIGINAL ARTICLE Spatial analysis of the driving factors of grassland degradation

    E-Print Network [OSTI]

    Wu, Jianguo "Jingle"

    ORIGINAL ARTICLE Spatial analysis of the driving factors of grassland degradation under conditions November 2011 Ó Springer-Verlag 2011 Abstract In recent years, steppe degradation in North China has become a serious environmental problem. Most research on steppe degradation is conducted at the level

  3. Impact of HFIR LEU Conversion on Beryllium Reflector Degradation Factors

    SciTech Connect (OSTI)

    Ilas, Dan [ORNL

    2013-10-01T23:59:59.000Z

    An assessment of the impact of low enriched uranium (LEU) conversion on the factors that may cause the degradation of the beryllium reflector is performed for the High Flux Isotope Reactor (HFIR). The computational methods, models, and tools, comparisons with previous work, along with the results obtained are documented and discussed in this report. The report documents the results for the gas and neutronic poison production, and the heating in the beryllium reflector for both the highly enriched uranium (HEU) and LEU HFIR configurations, and discusses the impact that the conversion to LEU may have on these quantities. A time-averaging procedure was developed to calculate the isotopic (gas and poisons) production in reflector. The sensitivity of this approach to different approximations is gauged and documented. The results show that the gas is produced in the beryllium reflector at a total rate of 0.304 g/cycle for the HEU configuration; this rate increases by ~12% for the LEU case. The total tritium production rate in reflector is 0.098 g/cycle for the HEU core and approximately 11% higher for the LEU core. A significant increase (up to ~25%) in the neutronic poisons production in the reflector during the operation cycles is observed for the LEU core, compared to the HEU case, for regions close to the core s horizontal midplane. The poisoning level of the reflector may increase by more than two orders of magnitude during long periods of downtime. The heating rate in the reflector is estimated to be approximately 20% lower for the LEU core than for the HEU core. The decrease is due to a significantly lower contribution of the heating produced by the gamma radiation for the LEU core. Both the isotopic (gas and neutronic poisons) production and the heating rates are spatially non-uniform throughout the beryllium reflector volume. The maximum values typically occur in the removable reflector and close to the midplane.

  4. Mechanism Based Anticancer Drugs that Degrade Sp Transcription Factors

    E-Print Network [OSTI]

    Chadalapaka, Gayathri

    2013-03-14T23:59:59.000Z

    4 transcription factors. Similar results were observed for a structurally-related triterpenoid, methyl 2-cyano-3,12-dioxooleana-1,9-dien-28-oate (CDDO-Me), which is currently in clinical trials for treatment of leukemia. Celastrol, a naturally...

  5. Degradation Scheme graceful degradation

    E-Print Network [OSTI]

    Chiba, Shigeru

    Degradation Scheme graceful degradation degradation scheme OS OS degradation scheme OS degradation scheme 1 Java graceful degradation [8] graceful degradation degradation scheme degradation scheme degradation scheme OS degradation scheme OS Solaris Linux FreeBSD Windows Server Linux 3 OS Tomcat Solaris OS

  6. Table Search (or Ranking Tables)

    E-Print Network [OSTI]

    Halevy, Alon

    ;Table Search #3 #12;Outline · Goals of table search · Table search #1: Deep Web · Table search #3 search Table search #1: Deep Web · Table search #3: (setup): Fusion Tables · Table search #2: WebTables ­Version 1: modify document search ­Version 2: recover table semantics #12;Searching the Deep Web store

  7. SENSITIVITY ANALYSIS OF A TPB DEGRADATION RATE MODEL

    SciTech Connect (OSTI)

    Crawford, C; Tommy Edwards, T; Bill Wilmarth, B

    2006-08-01T23:59:59.000Z

    A tetraphenylborate (TPB) degradation model for use in aggregating Tank 48 material in Tank 50 is developed in this report. The influential factors for this model are listed as the headings in the table below. A sensitivity study of the predictions of the model over intervals of values for the influential factors affecting the model was conducted. These intervals bound the levels of these factors expected during Tank 50 aggregations. The results from the sensitivity analysis were used to identify settings for the influential factors that yielded the largest predicted TPB degradation rate. Thus, these factor settings are considered as those that yield the ''worst-case'' scenario for TPB degradation rate for Tank 50 aggregation, and, as such they would define the test conditions that should be studied in a waste qualification program whose dual purpose would be the investigation of the introduction of Tank 48 material for aggregation in Tank 50 and the bounding of TPB degradation rates for such aggregations.

  8. Factors affecting degradation of polyethylene terephthalate (PET) during pre-flotation conditioning

    SciTech Connect (OSTI)

    Caparanga, Alvin R. [School of Chemical Engineering and Chemistry, Mapua Institute of Technology, Intramuros, Manila 1002 (Philippines); School of Graduate Studies, Mapua Institute of Technology, Intramuros, Manila 1002 (Philippines)], E-mail: arcaparanga@mapua.edu.ph; Basilia, Blessie A. [School of Chemical Engineering and Chemistry, Mapua Institute of Technology, Intramuros, Manila 1002 (Philippines); School of Graduate Studies, Mapua Institute of Technology, Intramuros, Manila 1002 (Philippines); Dagbay, Kevin B. [School of Chemical Engineering and Chemistry, Mapua Institute of Technology, Intramuros, Manila 1002 (Philippines); Salvacion, Jonathan W.L. [School of Graduate Studies, Mapua Institute of Technology, Intramuros, Manila 1002 (Philippines)

    2009-09-15T23:59:59.000Z

    In general, plastics are exposed to different degrading agents in every procedure involved in their recovery from waste mixture and from subsequent recycling. In this study, two methods of pre-flotation conditioning were used to determine how these methods affect the general properties of the pre-conditioned PET particles to be recovered from the PET-PVC mixture. The first method comprised the conditioning of PET samples using an alkaline solution of nonionic surfactant (Triton X-100) based on the patent by the Goodyear Tire and Rubber Company. The second method, developed in this study, was a conditioning process which used an alkali-less solution of the same nonionic surfactant (Triton X-100) used in the first method. The following analytical methods were used to characterize properties of the pre-conditioned PET samples that were correlated to relative degradation of the samples: differential scanning calorimetry (DSC), for thermal behavior of the samples; FT-IR spectroscopy, for functional groups present in the samples; and, Pohl's method, for carboxyl end-group concentration count. Results show that in addition to water the presence of NaOH in the conditioning solution contributes to the further degradation of the polymer.

  9. 2003 CBECS RSE Tables

    Gasoline and Diesel Fuel Update (EIA)

    of the Excel tables (access from main detailed tables page) or in PDF format here: Building Characteristics for All Buildings (Tables A1-A8) RSE Tables: PDF, 16 pages, 312KB...

  10. Table 7

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1 Table 7 Created on:

  11. General Tables

    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. DOE Office of Science (SC) Environmental AssessmentsGeoffrey Campbelllong version)ConfinementGeneral Tables The

  12. Drift Degradation Analysis

    SciTech Connect (OSTI)

    D. Kicker

    2004-09-16T23:59:59.000Z

    Degradation of underground openings as a function of time is a natural and expected occurrence for any subsurface excavation. Over time, changes occur to both the stress condition and the strength of the rock mass due to several interacting factors. Once the factors contributing to degradation are characterized, the effects of drift degradation can typically be mitigated through appropriate design and maintenance of the ground support system. However, for the emplacement drifts of the geologic repository at Yucca Mountain, it is necessary to characterize drift degradation over a 10,000-year period, which is well beyond the functional period of the ground support system. This document provides an analysis of the amount of drift degradation anticipated in repository emplacement drifts for discrete events and time increments extending throughout the 10,000-year regulatory period for postclosure performance. This revision of the drift degradation analysis was developed to support the license application and fulfill specific agreement items between the U.S. Nuclear Regulatory Commission (NRC) and the U.S. Department of Energy (DOE). The earlier versions of ''Drift Degradation Analysis'' (BSC 2001 [DIRS 156304]) relied primarily on the DRKBA numerical code, which provides for a probabilistic key-block assessment based on realistic fracture patterns determined from field mapping in the Exploratory Studies Facility (ESF) at Yucca Mountain. A key block is defined as a critical block in the surrounding rock mass of an excavation, which is removable and oriented in an unsafe manner such that it is likely to move into an opening unless support is provided. However, the use of the DRKBA code to determine potential rockfall data at the repository horizon during the postclosure period has several limitations: (1) The DRKBA code cannot explicitly apply dynamic loads due to seismic ground motion. (2) The DRKBA code cannot explicitly apply loads due to thermal stress. (3) The DRKBA code, which determines structurally controlled key-block failure, is not applicable for stress-controlled failure in the lithophysal units. To address these limitations, additional numerical codes have been included that can explicitly apply seismic and thermal loads, providing significant improvements to the analysis of drift degradation and extending the validity of drift degradation models.

  13. DEGRADATION OF TRANSPARENT CONDUCTIVE OXIDES: MECHANISTIC INSIGHTS AND INTERFACIAL ENGINEERING

    E-Print Network [OSTI]

    Rollins, Andrew M.

    DEGRADATION OF TRANSPARENT CONDUCTIVE OXIDES: MECHANISTIC INSIGHTS AND INTERFACIAL ENGINEERING;Degradation of Transparent Conductive Oxides: Mechanistic insights and Interfacial engineering Case Western;Dedicated to the science and engineering of photovoltaics, in an effort to make a better world. #12;Table

  14. EIA - Annual Energy Outlook (AEO) 2012 Data Tables

    Gasoline and Diesel Fuel Update (EIA)

    75. Imported Liquids by Source XLS Table 76. Conversion Factors XLS About the Annual Energy Outlook Contact information and staff Press release AEO2012 Early Release AEO2012...

  15. EIA - Annual Energy Outlook (AEO) 2011 Data Tables

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    75. Imported Liquids by Source XLS Table 76. Conversion Factors XLS About the Annual Energy Outlook Contact Information and Staff About the National Energy Modeling System (NEMS)...

  16. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

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

    and Income and Employment by Region Table 74. Conversion Factors About the Annual Energy Outlook Contact information and staff Press release Press conference presentation...

  17. Reductive dechlorination of chlorinated aliphatic hydrocarbons by Fe(ii) in degradative solidification/stabilization

    E-Print Network [OSTI]

    Jung, Bahng Mi

    2007-04-25T23:59:59.000Z

    ............................................................................................7 2.1 Degradative Solidification/Stabilization...................................................7 2.2 Cement Chemistry.....................................................................................8 2.2.1 Portland Cement... of typical cements . .........................9 Table 2.2 Portland cement compound transformation................................................15 Table 2.3 The oxides, hydroxides, and oxyhydroxides of Fe.....................................16 Table 2...

  18. Tabled Execution in Scheme

    SciTech Connect (OSTI)

    Willcock, J J; Lumsdaine, A; Quinlan, D J

    2008-08-19T23:59:59.000Z

    Tabled execution is a generalization of memorization developed by the logic programming community. It not only saves results from tabled predicates, but also stores the set of currently active calls to them; tabled execution can thus provide meaningful semantics for programs that seemingly contain infinite recursions with the same arguments. In logic programming, tabled execution is used for many purposes, both for improving the efficiency of programs, and making tasks simpler and more direct to express than with normal logic programs. However, tabled execution is only infrequently applied in mainstream functional languages such as Scheme. We demonstrate an elegant implementation of tabled execution in Scheme, using a mix of continuation-passing style and mutable data. We also show the use of tabled execution in Scheme for a problem in formal language and automata theory, demonstrating that tabled execution can be a valuable tool for Scheme users.

  19. Appendix B Tables

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

    B Right-of-Way Tower Configuration Tables and Figures Page B-1 Table B-1 West Alternative Tower Configurations Segment Segment Length (miles) Section (Tower to Tower) Additional...

  20. TALSPEAK Solvent Degradation

    SciTech Connect (OSTI)

    Leigh R. Martin; Bruce J. Mincher

    2009-09-01T23:59:59.000Z

    Understanding the radiolytic degradation behavior of organic molecules involved in new or existing schemes for the recycle of used nuclear fuels is of significant interest for sustaining a closed nuclear fuel cycle. Here we have conducted several lines of investigation to begin understanding the effects of radiolysis on the aqueous phase of the TALSPEAK process for the separation of the trivalent lanthanides from the trivalent actinides. Using the 60-Co irradiator at the INL, we have begun to quantify the effects of radiation on the aqueous phase complexants used in this separation technique, and how this will affect the actinide lanthanide separation factor. In addition we have started to develop methodologies for stable product identification, a key element in determining the degradation pathways. We have also introduced a methodology to investigate the effects of alpha radiolysis that has previously received limited attention.

  1. Environmental Justice Tables

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

    ... H-1 Table H-1. Poverty Thresholds in 1999 by Size of Family and Number of Related Children Under 18 Years...

  2. 2003 CBECS Detailed Tables: Summary

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

    c12-pdf c12.xls c12.html Electricity (Tables C13-C22) set10.pdf Table C13. Total Electricity Consumption and Expenditures c13.pdf c13.xls c13.html Table C14. Electricity...

  3. Deciphering Active Estrogen-Degrading Microorganisms in Bioreactors

    E-Print Network [OSTI]

    Roh, Hyung Keun

    2010-10-12T23:59:59.000Z

    in biological wastewater treatment processes. This dissertation investigated factors affecting estrogen biodegradation in bioreactors. Specifically, research efforts were placed on characterization of several bacterial estrogen degraders (model strains...

  4. PEM fuel cell degradation

    SciTech Connect (OSTI)

    Borup, Rodney L [Los Alamos National Laboratory; Mukundan, Rangachary [Los Alamos National Laboratory

    2010-01-01T23:59:59.000Z

    The durability of PEM fuel cells is a major barrier to the commercialization of these systems for stationary and transportation power applications. While significant progress has been made in understanding degradation mechanisms and improving materials, further improvements in durability are required to meet commercialization targets. Catalyst and electrode durability remains a primary degradation mode, with much work reported on understanding how the catalyst and electrode structure degrades. Accelerated Stress Tests (ASTs) are used to rapidly evaluate component degradation, however the results are sometimes easy, and other times difficult to correlate. Tests that were developed to accelerate degradation of single components are shown to also affect other component's degradation modes. Non-ideal examples of this include ASTs examining catalyst degradation performances losses due to catalyst degradation do not always well correlate with catalyst surface area and also lead to losses in mass transport.

  5. Targeted polypeptide degradation

    DOE Patents [OSTI]

    Church, George M. (Brookline, MA); Janse, Daniel M. (Brookline, MA)

    2008-05-13T23:59:59.000Z

    This invention pertains to compositions, methods, cells and organisms useful for selectively localizing polypeptides to the proteasome for degradation. Therapeutic methods and pharmaceutical compositions for treating disorders associated with the expression and/or activity of a polypeptide by targeting these polypeptides for degradation, as well as methods for targeting therapeutic polypeptides for degradation and/or activating therapeutic polypeptides by degradation are provided. The invention provides methods for identifying compounds that mediate proteasome localization and/or polypeptide degradation. The invention also provides research tools for the study of protein function.

  6. Table of Contents

    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,ZaleskiThis Decision considersTable 1: Points of Entry/Exit andTable

  7. Table_of_Contents

    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,ZaleskiThis Decision considersTable 1: Points of Entry/ExitTable of

  8. Cost Recovery Charge (CRC) Calculation Tables

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

    Cost Recovery Charge (CRC) Calculation Table Updated: March 20, 2015 FY 2016 February 2015 CRC Calculation Table (pdf) Final FY 2015 CRC Letter & Table (pdf) Note: The Cost...

  9. Advanced Vehicle Technologies Awards Table

    Broader source: Energy.gov [DOE]

    The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project.

  10. Mentoring Guide TABLE OF CONTENTS

    E-Print Network [OSTI]

    Dasgupta, Dipankar

    Mentoring Guide 1 #12;TABLE OF CONTENTS Introduction...........................................................................................................3 CCFA Mentoring Guide.........................................................................................3 Why Do I Need A Mentor

  11. Anaerobic Hydrocarbon Degradation in

    E-Print Network [OSTI]

    California at Berkeley, University of

    Anaerobic Hydrocarbon Degradation in Petroleum-Contaminated Harbor Sediments under Sulfate of iron(III) oxide to stimulate in- situ hydrocarbon degradation in anaerobic petroleum- contaminated did not stimulate anaerobic hydrocarbon oxidation. Exposure of the sediment to air [to reoxidize Fe

  12. Uncertainty Analysis for Photovoltaic Degradation Rates (Poster)

    SciTech Connect (OSTI)

    Jordan, D.; Kurtz, S.; Hansen, C.

    2014-04-01T23:59:59.000Z

    Dependable and predictable energy production is the key to the long-term success of the PV industry. PV systems show over the lifetime of their exposure a gradual decline that depends on many different factors such as module technology, module type, mounting configuration, climate etc. When degradation rates are determined from continuous data the statistical uncertainty is easily calculated from the regression coefficients. However, total uncertainty that includes measurement uncertainty and instrumentation drift is far more difficult to determine. A Monte Carlo simulation approach was chosen to investigate a comprehensive uncertainty analysis. The most important effect for degradation rates is to avoid instrumentation that changes over time in the field. For instance, a drifting irradiance sensor, which can be achieved through regular calibration, can lead to a substantially erroneous degradation rates. However, the accuracy of the irradiance sensor has negligible impact on degradation rate uncertainty emphasizing that precision (relative accuracy) is more important than absolute accuracy.

  13. 1999 CBECS Detailed Tables

    U.S. Energy Information Administration (EIA) 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility Plants 1998 Tables

  14. Photovoltaic Lifetime & Degradation Science Statistical Pathway Development: Acrylic Degradation

    E-Print Network [OSTI]

    Rollins, Andrew M.

    Photovoltaic Lifetime & Degradation Science Statistical Pathway Development: Acrylic Degradation, USA ABSTRACT In order to optimize and extend the life of photovoltaics (PV) modules, scientific photovoltaics. The statisti- cally significant relationships were investigated using lifetime and degradation

  15. Fast mix table construction for material discretization

    SciTech Connect (OSTI)

    Johnson, S. R. [Oak Ridge National Laboratory, Oak Ridge, TN 37831 (United States)

    2013-07-01T23:59:59.000Z

    An effective hybrid Monte Carlo-deterministic implementation typically requires the approximation of a continuous geometry description with a discretized piecewise-constant material field. The inherent geometry discretization error can be reduced somewhat by using material mixing, where multiple materials inside a discrete mesh voxel are homogenized. Material mixing requires the construction of a 'mix table,' which stores the volume fractions in every mixture so that multiple voxels with similar compositions can reference the same mixture. Mix table construction is a potentially expensive serial operation for large problems with many materials and voxels. We formulate an efficient algorithm to construct a sparse mix table in O(number of voxels x log number of mixtures) time. The new algorithm is implemented in ADVANTG and used to discretize continuous geometries onto a structured Cartesian grid. When applied to an end-of-life MCNP model of the High Flux Isotope Reactor with 270 distinct materials, the new method improves the material mixing time by a factor of 100 compared to a naive mix table implementation. (authors)

  16. FY 2008 Laboratory Table

    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 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment ofAppropriationBudgetLaboratory Table

  17. FY 2009 State Table

    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 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State Tables

  18. FY 2009 Statistical Table

    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 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State TablesStatistical

  19. Microsoft Word - table_08

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG 0 20 40 60 807 Created on:3 Table

  20. A=19 Tables

    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. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less2012KE01)93TI07) (Not observed)95TI07)95TI07)72AJ02) (SeeTables

  1. TABLE OF CONTENTS

    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 Our InstagramStructureProposed Action(InsertAbout theSystems3, Revision 0 i TABLE OF

  2. TABLE OF CONTENTS

    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 Our InstagramStructureProposed Action(InsertAbout theSystems3, Revision 0 i TABLE

  3. TABLE OF CONTENTS

    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 Our InstagramStructureProposed Action(InsertAbout theSystems3, Revision 0 i TABLE5,

  4. 1992 CBECS Detailed Tables

    Gasoline and Diesel Fuel Update (EIA)

    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 33 111 1,613 122 40 Building Floorspace (Square Feet) 1,001 to7. Electricity4.Rocky6 AprilTables

  5. 8He General Tables

    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. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2 Q3 U . SHe General Tables

  6. 9Be General Tables

    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. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2 Q3 U . SHeBBe General Table

  7. Table of Contents

    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. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D Alloys &8-5070P3. U.S.7. U.S.8.5TABLE

  8. Table of Contents

    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. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D Alloys &8-5070P3. U.S.7. U.S.8.5TABLE2

  9. Seismic fragility evaluation of a piping system in a nuclear power plant by shaking table test and numerical analysis

    SciTech Connect (OSTI)

    Kim, M. K.; Kim, J. H.; Choi, I. K. [Korea Atomic Energy Research Inst., Daedeok-daero 989-111, Yuseong-gu, Daejeon, 305-353 (Korea, Republic of)

    2012-07-01T23:59:59.000Z

    In this study, a seismic fragility evaluation of the piping system in a nuclear power plant was performed. For the evaluation of seismic fragility of the piping system, this research was progressed as three steps. At first, several piping element capacity tests were performed. The monotonic and cyclic loading tests were conducted under the same internal pressure level of actual nuclear power plants to evaluate the performance. The cracks and wall thinning were considered as degradation factors of the piping system. Second, a shaking tale test was performed for an evaluation of seismic capacity of a selected piping system. The multi-support seismic excitation was performed for the considering a difference of an elevation of support. Finally, a numerical analysis was performed for the assessment of seismic fragility of piping system. As a result, a seismic fragility for piping system of NPP in Korea by using a shaking table test and numerical analysis. (authors)

  10. Photovoltaic Degradation Risk: Preprint

    SciTech Connect (OSTI)

    Jordan, D. C.; Kurtz, S. R.

    2012-04-01T23:59:59.000Z

    The ability to accurately predict power delivery over the course of time is of vital importance to the growth of the photovoltaic (PV) industry. Important cost drivers include the efficiency with which sunlight is converted into power, how this relationship changes over time, and the uncertainty in this prediction. An accurate quantification of power decline over time, also known as degradation rate, is essential to all stakeholders - utility companies, integrators, investors, and researchers alike. In this paper we use a statistical approach based on historical data to quantify degradation rates, discern trends and quantify risks related to measurement uncertainties, number of measurements and methodologies.

  11. Out with the old, in with the new? Comparing methods for measuring protein degradation

    E-Print Network [OSTI]

    Nicchitta, Chris

    Out with the old, in with the new? Comparing methods for measuring protein degradation Jonathan W, University of Utah, Salt Lake City, Utah, 84112, U.S.A. Abstract Protein degradation is a critical factor in controlling cellular protein abundance. Here, we compare classical methods for determining protein degradation

  12. Monitoring the Performance of a Residential Central Air Conditioner under Degraded Conditions on a Test Bench

    E-Print Network [OSTI]

    Palani, M.; O'Neal, D. L.; Haberl, J. S.

    1992-01-01T23:59:59.000Z

    enthalpies at six locations were calculated using the refrigerant property calculation program developed by Kartsounes[26]. Air-side enthalpy, humidity and specific volume were calculated by a psychrometric program developed at the Energy Systems Laboratory... procedure based on measurement of refrigerant and air side temperatures. n TABLE OF CONTENTS CHAPTER Page I INTRODUCTION 1 E LITERATURE REVIEW 3 Service and failure patterns 3 Degradation studies 4 HI MODEL DEVELOPMENT 6 Theory of operation 6 Degraded...

  13. Detection of pump degradation

    SciTech Connect (OSTI)

    Greene, R.H.; Casada, D.A.; Ayers, C.W. [and others

    1995-08-01T23:59:59.000Z

    This Phase II Nuclear Plant Aging Research study examines the methods of detecting pump degradation that are currently employed in domestic and overseas nuclear facilities. This report evaluates the criteria mandated by required pump testing at U.S. nuclear power plants and compares them to those features characteristic of state-of-the-art diagnostic programs and practices currently implemented by other major industries. Since the working condition of the pump driver is crucial to pump operability, a brief review of new applications of motor diagnostics is provided that highlights recent developments in this technology. The routine collection and analysis of spectral data is superior to all other technologies in its ability to accurately detect numerous types and causes of pump degradation. Existing ASME Code testing criteria do not require the evaluation of pump vibration spectra but instead overall vibration amplitude. The mechanical information discernible from vibration amplitude analysis is limited, and several cases of pump failure were not detected in their early stages by vibration monitoring. Since spectral analysis can provide a wealth of pertinent information concerning the mechanical condition of rotating machinery, its incorporation into ASME testing criteria could merit a relaxation in the monthly-to-quarterly testing schedules that seek to verify and assure pump operability. Pump drivers are not included in the current battery of testing. Operational problems thought to be caused by pump degradation were found to be the result of motor degradation. Recent advances in nonintrusive monitoring techniques have made motor diagnostics a viable technology for assessing motor operability. Motor current/power analysis can detect rotor bar degradation and ascertain ranges of hydraulically unstable operation for a particular pump and motor set. The concept of using motor current or power fluctuations as an indicator of pump hydraulic load stability is presented.

  14. FNANO12 Table of Contents Table of Contents

    E-Print Network [OSTI]

    Reif, John H.

    Bardram Software tools for automated design of dynamic nucleic acid systems Table of Contents In Silico Design, In Vitro Characterization and Ex-Vivo Studies of Functional RNA-based Nanoparticles

  15. FY 2015 Summary Control Table by Appropriation

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

    Summary Control Table by Appropriation (dollars in thousands - OMB Scoring) Summary Control Table by Appropriation Page 1 FY 2015 Congressional Request FY 2013 FY 2014 FY 2014 FY...

  16. Degradation and recovery of Caribbean coral reefs

    E-Print Network [OSTI]

    Paredes, Gustavo Adolfo

    2009-01-01T23:59:59.000Z

    Causes of coral reef degradation: Response. Science, 302,E. (2008) Baselines and Degradation of Coral Reefs in theCauses of coral reef degradation - Response. Science, 302,

  17. TRANSPORT NUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION

    E-Print Network [OSTI]

    De Jonghe, Lutgard C.

    2012-01-01T23:59:59.000Z

    AND SOLID ELECTROLYTE DEGRADATION Lutgard C. De Jonghe TWO-AND SOLID ELECTROLYTE DEGRADATION Lutgard C. De JongheAND SOLID ELECTROLYTE DEGRADATION Lutgard C. De Jonghe

  18. Method of microbially degrading trinitrotoluene

    DOE Patents [OSTI]

    Tyndall, Richard L. (Clinton, TN); Vass, Arpad (Oak Ridge, TN)

    1996-01-01T23:59:59.000Z

    A method of degrading trinitrotoluene (TNT) includes contacting the TNT with intra-amoebic isolate CR-1, ATCC 75528.

  19. Supplemental Information Table Lists

    E-Print Network [OSTI]

    Meskhidze, Nicholas

    .059 rabbit 0.012 industrial coal combustion 0.200 N fertilizer application 0.220 industrial heavy oil.025 domestic gas combustion -0.018 rural human excretion 0.030 domestic oil combustion -0.013 #12; straw open burning. EFcrop residues: emission factor of domestic crop residues combustion. EFwood

  20. Automation of BESSY scanning tables

    E-Print Network [OSTI]

    Hanton, J

    1981-01-01T23:59:59.000Z

    A microprocessor M6800 is used for the automation of scanning and premeasuring BESSY tables. The tasks achieved by the microprocessor are: control of spooling of the four asynchronous film winding devices and switching on and off the 4 projection lamps; preprocessing of the data coming from a bipolar coordinates measuring device; bidirectional interchange of information between the operator, the BESSY table and the DEC PDP 11/34 mini computer controlling the scanning operations; control of the magnification on the table by swapping the projection lenses of appropriate focal lengths and the associated light boxes (under development). In connection with the last of these, study is being made for the use of BESSY tables for accurate measurements (+/- 5 microns), by encoding the displacements of the projection lenses. (0 refs).

  1. TABLE OF CONTENTS ABSTRACT . . .. . . .. . . . . . . . . . . . . . . . . . . . . . v

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    ............................................... 12 Water-Source Heat Pump Performance ............................ 18 Air-Source Heat Pump QUARTZ CONTENT OF SEDIMENTARY ROCK LAYERS ........ 17 TABLE 10. PROPERTIES OF SEDIMENTARY ROCK LAYERS OF PERFORMANCE OF WATER-SOURCE HEAT PUMP .............................. ................. 23 FIGURE 2. NODAL

  2. Speeding up Entanglement Degradation

    E-Print Network [OSTI]

    R. B. Mann; V. M Villalba

    2009-08-01T23:59:59.000Z

    Entanglement between two free bosonic modes can be determined via detection of each mode by different observers and then observing the correlations between their measurements. We show that such entanglement is degraded as a function of time if one observer begins in a state of inertial motion but ends in a state of uniform acceleration while the other remains inertial. At late times we recover previously established results for observers in relative uniform acceleration.

  3. Synchrotron Investigations of SOFC Cathode Degradation

    SciTech Connect (OSTI)

    Idzerda, Yves

    2013-09-30T23:59:59.000Z

    The atomic variations occurring in cathode/electrolyte interface regions of La{sub 1-x}Sr{sub x}Co{sub y}Fe{sub 1-y}O{sub 3-?} (LSCF) cathodes and other SOFC related materials have been investigated and characterized using soft X-ray Absorption Spectroscopy (XAS) and diffuse soft X-ray Resonant Scattering (XRS). X-ray Absorption Spectroscopy in the soft X-ray region (soft XAS) is shown to be a sensitive technique to quantify the disruption that occurs and can be used to suggest a concrete mechanism for the degradation. For LSC, LSF, and LSCF films, a significant degradation mechanism is shown to be Sr out-diffusion. By using the XAS spectra of hexavalent Cr in SrCrO4 and trivalent Cr in Cr2O3, the driving factor for Sr segregation was identified to be the oxygen vacancy concentration at the anode and cathode side of of symmetric LSCF/GDC/LSCF heterostructures. This is direct evidence of vacancy induced cation diffusion and is shown to be a significant indicator of cathode/electrolyte interfacial degradation. X-ray absorption spectroscopy is used to identify the occupation of the A-sites and B-sites for LSC, LSF, and LSCF cathodes doped with other transition metals, including doping induced migration of Sr to the anti-site for Sr, a significant cathode degradation indicator. By using spatially resolved valence mapping of Co, a complete picture of the surface electrochemistry can be determined. This is especially important in identifying degradation phenomena where the degradation is spatially localized to the extremities of the electrochemistry and not the average. For samples that have electrochemical parameters that are measured to be spatially uniform, the Co valence modifications were correlated to the effects of current density, overpotential, and humidity.

  4. CSNF WASTE FORM DEGRADATION: SUMMARY ABSTRACTION

    SciTech Connect (OSTI)

    J.C. CUNNANE

    2004-08-31T23:59:59.000Z

    The purpose of this model report is to describe the development and validation of models that can be used to calculate the release of radionuclides from commercial spent nuclear fuel (CSNF) following a hypothetical breach of the waste package and fuel cladding in the repository. The purpose also includes describing the uncertainties associated with modeling the radionuclide release for the range of CSNF types, exposure conditions, and durations for which the radionuclide release models are to be applied. This document was developed in accordance with Technical Work Plan for: Regulatory Integration Modeling and Analysis of the Waste Form and Waste Package (BSC 2004 [DIRS 169944]). This document considers radionuclides to be released from CSNF when they are available for mobilization by gas-phase mass transport, or by dissolution or colloid formation in water that may contact the fuel. Because other reports address limitations on the dissolved and colloidal radionuclide concentrations (BSC 2004 [DIRS 169944], Table 2-1), this report does not address processes that control the extent to which the radionuclides released from CSNF are mobilized and transported away from the fuel either in the gas phase or in the aqueous phase as dissolved and colloidal species. The scope is limited to consideration of degradation of the CSNF rods following an initial breach of the cladding. It considers features of CSNF that limit the availability of individual radionuclides for release into the gaseous or aqueous phases that may contact the fuel and the processes and events expected to degrade these CSNF features. In short, the purpose is to describe the characteristics of breached fuel rods and the degradation processes expected to influence radionuclide release.

  5. Outdoor PV Degradation Comparison

    SciTech Connect (OSTI)

    Jordan, D. C.; Smith, R. M.; Osterwald, C. R.; Gelak, E.; Kurtz, S. R.

    2011-02-01T23:59:59.000Z

    As photovoltaic (PV) penetration of the power grid increases, it becomes vital to know how decreased power output; may affect cost over time. In order to predict power delivery, the decline or degradation rates must be determined; accurately. At the Performance and Energy Rating Testbed (PERT) at the Outdoor Test Facility (OTF) at the; National Renewable Energy Laboratory (NREL) more than 40 modules from more than 10 different manufacturers; were compared for their long-term outdoor stability. Because it can accommodate a large variety of modules in a; limited footprint the PERT system is ideally suited to compare modules side-by-side under the same conditions.

  6. Material Aging and Degradation Detection and Remaining Life Assessment for Plant Life Management

    SciTech Connect (OSTI)

    Ramuhalli, Pradeep; Henager, Charles H.; Griffin, Jeffrey W.; Meyer, Ryan M.; Coble, Jamie B.; Pitman, Stan G.; Bond, Leonard J.

    2012-12-31T23:59:59.000Z

    One of the major factors that may impact long term operations is structural material degradation, Detecting materials degradation, estimating the remaining useful life (RUL) of the component, and determining approaches to mitigating the degradation are important from the perspective of long term operations. In this study, multiple nondestructive measurement and monitoring methods were evaluated for their ability to assess the material degradation state. Metrics quantifying the level of damage from these measurements were defined, and evaluated for their ability to provide estimates of remaining life of the component. An example of estimating the RUL from nondestructive measurements of material degradation condition is provided.

  7. Table of Contents INTRODUCTION 2

    E-Print Network [OSTI]

    O'Mahony, Donal E.

    #12;1 Table of Contents INTRODUCTION 2 SECTION ONE: PRINCIPLES OF GOOD PRACTICE 4 SECTION TWO, it offers a practical guide to staff and volunteers who work with children by outlining a number of fundamental principles of good practice, highlighting the key elements of each one and discussing the issues

  8. Technology and Climate Trends in PV Module Degradation (Presentation)

    SciTech Connect (OSTI)

    Jordan, D.; Wohlgemuth, J.; Kurtz, S.

    2012-10-01T23:59:59.000Z

    To sustain the commercial success of photovoltaic (PV) technology it is vital to know how power output decreases with time. Unfortunately, it can take years to accurately measure the long-term degradation of new products, but past experience on older products can provide a basis for prediction of degradation rates of new products. An extensive search resulted in more than 2000 reported degradation rates with more than 1100 reported rates that include some or all IV parameters. In this presentation we discuss how the details of the degradation data give clues about the degradation mechanisms and how they depend on technology and climate zones as well as how they affect current and voltage differently. The largest contributor to maximum power decline for crystalline Si technologies is short circuit current (or maximum current) degradation and to a lesser degree loss in fill factor. Thin-film technologies are characterized by a much higher contribution from fill factor particularly for humid climates. Crystalline Si technologies in hot & humid climates also display a higher probability to show a mixture of losses (not just short circuit current losses) compared to other climates. The distribution for the module I-V parameters (electrical mismatch) was found to change with field exposure. The distributions not only widened but also developed a tail at the lower end, skewing the distribution.

  9. Technology and Climate Trends in PV Module Degradation: Preprint

    SciTech Connect (OSTI)

    Jordan, D. C.; Wohlgemuth, J. H.; Kurtz, S. R.

    2012-10-01T23:59:59.000Z

    To sustain the commercial success of photovoltaic (PV) technology it is vital to know how power output decreases with time. Unfortunately, it can take years to accurately measure the long-term degradation of new products, but past experience on older products can provide a basis for prediction of degradation rates of new products. An extensive search resulted in more than 2000 reported degradation rates with more than 1100 reported rates that include some or all IV parameters. In this paper we discuss how the details of the degradation data give clues about the degradation mechanisms and how they depend on technology and climate zones as well as how they affect current and voltage differently. The largest contributor to maximum power decline for crystalline Si technologies is short circuit current (or maximum current) degradation and to a lesser degree loss in fill factor. Thin-film technologies are characterized by a much higher contribution from fill factor particularly for humid climates. Crystalline Si technologies in hot & humid climates also display a higher probability to show a mixture of losses (not just short circuit current losses) compared to other climates. The distribution for the module I-V parameters (electrical mismatch) was found to change with field exposure. The distributions not only widened but also developed a tail at the lower end, skewing the distribution.

  10. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

    Gasoline and Diesel Fuel Update (EIA)

    Floorspace, and Equipment Efficiency XLS Table 24. Industrial Sector Macroeconomic Indicators XLS Table 25. Refining Industry Energy Consumption XLS Table 26. Food Industry...

  11. SOFA 2 Documentation Table of contents

    E-Print Network [OSTI]

    SOFA 2 Documentation Table of contents 1 Overview...................................................................................................................... 2 2 Documentation............................................................................................................. 2 3 Other documentation and howtos

  12. The Interactive Dining Table Florian Echtler

    E-Print Network [OSTI]

    Deussen, Oliver

    into the table lamp for sensing interaction and a small LED-based projector mounted on the ceiling for displaying

  13. Chemistry Department Assessment Table of Contents

    E-Print Network [OSTI]

    Bogaerts, Steven

    0 Chemistry Department Assessment May, 2006 Table of Contents Page Executive Summary 1 Prelude 1 Mission Statement and Learning Goals 1 Facilities 2 Staffing 3 Students: Chemistry Majors and Student Taking Service Courses Table: 1997-2005 graduates profile Table: GRE Score for Chemistry Majors, 1993

  14. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) 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 onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History Download Series History Definitions, SourcesType"A50. Table

  15. Graceful Degradation Via Versions: Specifications and Implementations

    E-Print Network [OSTI]

    Thekkath, Chandramohan A.

    Graceful Degradation Via Versions: Specifications and Implementations Lidong Zhou, Vijayan to degraded system behavior that deviates from the system's specification and even causing complete unavailability of the system. This paper advocates the notion of graceful degradation as a complementary

  16. CARNEGIE MELLON UNIVERSITY SCALABLE GRACEFUL DEGRADATION FOR

    E-Print Network [OSTI]

    Koopman, Philip

    CARNEGIE MELLON UNIVERSITY SCALABLE GRACEFUL DEGRADATION FOR DISTRIBUTED EMBEDDED SYSTEMS become a major impediment to system dependability. Graceful degradation mechanisms can potentially degrading system tolerates partial system failures by providing reduced functionality with the remaining

  17. Degradation of Isotopic Lactate and Acetate

    E-Print Network [OSTI]

    Aronoff, S.

    2010-01-01T23:59:59.000Z

    prescribed, BaC03 from the degradation of Ba acetnte co~~above procedure by the degradation of sjnthetic radio-lacticNo. W-7405-Eng o -48 DEGRADATION OF ISOTOPIC LACTATE AND

  18. Performance Degradation of LSCF Cathodes

    SciTech Connect (OSTI)

    Alinger, Matthew

    2013-09-30T23:59:59.000Z

    This final report summarizes the progress made during the October 1, 2008 - September 30, 2013 period under Cooperative Agreement DE-NT0004109 for the U. S. Department of Energy/National Energy Technology Laboratory (USDOE/NETL) entitled “Performance Degradation of LSCF Cathodes”. The primary objective of this program is to develop a performance degradation mitigation path for high performing, cost-effective solid oxide fuel cells (SOFCs). Strategies to mitigate performance degradation are developed and implemented. In addition, thermal spray manufacturing of SOFCs is explored. Combined, this work establishes a basis for cost-effective SOFC cells.

  19. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations from

  20. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations

  1. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations8

  2. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations838

  3. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations8385

  4. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May

  5. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6 from (1991AJ01):

  6. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6 from

  7. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6 from7AJ02):

  8. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6

  9. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May60AJ01): Some

  10. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May60AJ01):

  11. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May60AJ01):3TI07):

  12. Table

    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 Our InstagramStructureProposedPAGE Creating a

  13. Table

    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 Our InstagramStructureProposedPAGE Creating a5TI07): Electromagnetic transitions in

  14. Table

    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 Our InstagramStructureProposedPAGE Creating a5TI07): Electromagnetic transitions

  15. Table

    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 Our InstagramStructureProposedPAGE Creating a5TI07): Electromagnetic

  16. Perchlorate Degradation in Acetate-fed Bioreactors

    E-Print Network [OSTI]

    Perchlorate Degradation in Acetate-fed Bioreactors Yanguang Song Kijung Kim, Bruce Logan Department;· Dechlorosoma sp. KJ: isolated from a perchlorate- degrading packed bed bioreactor; · Dechlorosoma sp. PDX

  17. Durability Improvements Through Degradation Mechanism Studies...

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

    Improvements Through Degradation Mechanism Studies Durability Improvements Through Degradation Mechanism Studies Presented at the Department of Energy Fuel Cell Projects Kickoff...

  18. 1997 Housing Characteristics Tables Home Office Equipment Tables

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    1997 Home Office Equipment RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  19. Self-degradable Temporary Cementitious

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

    and to degrade itself at 200C, 3) to evaluate the compatibility of sealers with drilling fluid, and 4) to transfer developed technology to cost-sharing industrial partners....

  20. Control of DAPK-1 degradation 

    E-Print Network [OSTI]

    Lin, Yao

    2009-01-01T23:59:59.000Z

    DAPK-1 is calcium-calmodulin regulated protein kinase involved in multiple cellular pathways including apoptosis, autophagy, cell survival and motility. The cytokine TNF-? has been reported to induce the degradation of DAPK-1. Here I identified...

  1. Seawater degradation of polymeric composites

    E-Print Network [OSTI]

    Grant, Timothy Sean

    1991-01-01T23:59:59.000Z

    SEAWATER DEGRADATION OF POLYMERIC COMPOSITES A Thesis by TIMOTHY SEAN GRANT Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1991 Major... Subject: Mechanical Engineering SEAWATER DEGRADATION OF POLYMERIC COMPOSITES A Thesis by TIMOTHY SEAN GRANT Approved as to style and content by: Walter L. Bradley (Chair of mmittee) lan Letton (Member) arry ogan (Member) r John Whitcomb...

  2. Performance-degradation model for Li4Ti5O12-based battery cells used in wind power applications

    E-Print Network [OSTI]

    Teodorescu, Remus

    Terms--Lithium-ion battery, Performance model, Elec- trochemical Impedance Spectroscopy, Degradation. I on measurements performed during an accelerated cycling ageing process. Since ageing tests under real operation) measurements. TABLE I VARIOUS CHEMISTRIES OF LI-ION BATTERIES AND THEIR CHARACTERISTICS (BASED ON [5

  3. Seismic Fragility Analysis of a Degraded Condensate Storage Tank

    SciTech Connect (OSTI)

    Nie, J.; Braverman, J.; Hofmayer, C.; Choun, Y-S.; Kim, M.K.; Choi, I-K.

    2011-05-16T23:59:59.000Z

    The Korea Atomic Energy Research Institute (KAERI) and Brookhaven National Laboratory are conducting a collaborative research project to develop seismic capability evaluation technology for degraded structures and components in nuclear power plants (NPPs). One of the goals of this collaboration endeavor is to develop seismic fragility analysis methods that consider the potential effects of age-related degradation of structures, systems, and components (SSCs). The essential part of this collaboration is aimed at achieving a better understanding of the effects of aging on the performance of SSCs and ultimately on the safety of NPPs. A recent search of the degradation occurrences of structures and passive components (SPCs) showed that the rate of aging related degradation in NPPs was not significantly large but increasing, as the plants get older. The slow but increasing rate of degradation of SPCs can potentially affect the safety of the older plants and become an important factor in decision making in the current trend of extending the operating license period of the plants (e.g., in the U.S. from 40 years to 60 years, and even potentially to 80 years). The condition and performance of major aged NPP structures such as the containment contributes to the life span of a plant. A frequent misconception of such low degradation rate of SPCs is that such degradation may not pose significant risk to plant safety. However, under low probability high consequence initiating events, such as large earthquakes, SPCs that have slowly degraded over many years could potentially affect plant safety and these effects need to be better understood. As part of the KAERI-BNL collaboration, a condensate storage tank (CST) was analyzed to estimate its seismic fragility capacities under various postulated degradation scenarios. CSTs were shown to have a significant impact on the seismic core damage frequency of a nuclear power plant. The seismic fragility capacity of the CST was developed for five cases: (1) a baseline analysis where the design condition (undegraded) is assumed, (2) a scenario with degraded stainless steel tank shell, (3) a scenario with degraded anchor bolts, (4) a scenario with anchorage concrete cracking, and (5) a perfect correlation of the above three degradation scenarios. This paper will present the methodology for the time-dependent fragility calculation and discuss the insights drawn from this study. To achieve a better understanding of the effects of aging on the performance of structures and passive components (SPCs) in nuclear power plants (NPPs), the Korea Atomic Energy Research Institute (KAERI) and Brookhaven National Laboratory (BNL) are collaborating to develop seismic fragility analysis methods that consider age-related degradation of SPCs. The rate of age-related degradation of SPCs was not found to be significantly large, but increasing as the plants get older. The slow but increasing rate of degradation of SPCs can potentially affect the safety of the older plants and become an important factor in decision making in the current trend of extending the operating license period of the plants (e.g., in the U.S. from 40 years to 60 years, and even potentially to 80 years). In this paper, a condensate storage tank (CST) was analyzed to estimate its seismic fragility capacities under various postulated degradation scenarios. This paper will present the methodology for the time-dependent fragility calculation and discuss the insights drawn from this study.

  4. EJC-independent degradation of nonsense immunoglobulin-m

    E-Print Network [OSTI]

    Mühlemann, Oliver

    NMD factors Upf1, Upf2 and Upf3 (also called SMG2, SMG3 and SMG4, respectively) are conserved from with the stalled ribosome via the Upf trans-acting factors, which ultimately leads to degradation of the mRNA (ref 40 20 0 120 Rel.µmRNA(%) 100 80 60 40 20 0 WT ter310 ter440 ter452 WT Upf1 k.d.: ­ + ­ + ­ + eIF4AIII

  5. CBECS Buildings Characteristics --Revised Tables

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0Proved ReservesBuildings Use Tables (24

  6. CBECS Buildings Characteristics --Revised Tables

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0Proved ReservesBuildings Use Tables

  7. 2003 CBECS Detailed Tables: Summary

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E2003 Detailed Tables 2003

  8. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome to the3421,097

  9. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome to

  10. ARM - Instrument - s-table

    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 for4,645 3,625 1,006Datastreamstwrcam40mgovInstrumentsmwr3c DocumentationgovInstrumentsrain DocumentationgovInstrumentss-table

  11. Microsoft Word - table_13.doc

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third23 Table

  12. Microsoft Word - table_14.doc

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third23 Table4

  13. Microsoft Word - table_15.doc

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third23 Table40

  14. Microsoft Word - table_18.doc

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third235 Table

  15. Microsoft Word - table_19.doc

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third235 Table7

  16. Microsoft Word - table_21.doc

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third2359 Table

  17. Environmental Regulatory Update Table, August 1991

    SciTech Connect (OSTI)

    Houlberg, L.M., Hawkins, G.T.; Salk, M.S.

    1991-09-01T23:59:59.000Z

    This Environmental Regulatory Update Table (August 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, September 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-10-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental regulatory update table, March 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-04-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental regulatory update table, July 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-08-01T23:59:59.000Z

    This Environmental Regulatory Update Table (July 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental Regulatory Update Table, December 1989

    SciTech Connect (OSTI)

    Houlbert, L.M.; Langston, M.E. (Tennessee Univ., Knoxville, TN (USA)); Nikbakht, A.; Salk, M.S. (Oak Ridge National Lab., TN (USA))

    1990-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, April 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-05-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Bond Strength Degradation for CFRP and Steel reinforcing Bars in Concrete at Elevated Temperature 

    E-Print Network [OSTI]

    Maluk, Cristian; Bisby, Luke; Terrasi, Giovanni; Green, Mark

    2011-03-01T23:59:59.000Z

    temperature is a complex phenomenon which is influenced by a number of interrelated factors, including the type of prestressing, degradation of the concrete, CFRP, and steel, differential thermal expansion, thermal gradients and stresses, release of moisture...

  4. Testing Modules for Potential-Induced Degradation - A Status Update of IEC 62804 (Presentation)

    SciTech Connect (OSTI)

    Hacke, P.

    2014-03-01T23:59:59.000Z

    Stresses and degradation rates for the 25 degrees C with foil and the 60 degrees C/85% RH damp heat tests are compared, the Illumination factor on PID rate is evaluated, and measurement techniques and stress levels are discussed.

  5. TABLE20.CHP:Corel VENTURA

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    due to independent rounding. Sources: Energy Information Administration (EIA) Form EIA-814, "Monthly Imports Report." 266 Table 20. Imports of Crude Oil and Petroleum...

  6. TABLE27.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    due to independent rounding. Sources: Energy Information Administration (EIA) Form EIA-810, "Monthly Refinery Report" and the U.S. Bureau of the Census. 410 Table 27....

  7. TABLE53.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Table 53. Movements of Crude Oil and Petroleum Products by Pipeline, Tanker, and Barge Between July 2004 Crude Oil ... 0 383 0...

  8. Peer Mentor Handbook Table of Contents

    E-Print Network [OSTI]

    Lin, Zhiqun

    Peer Mentor Handbook #12;Table of Contents Learning Communities Characteristics ..............................................................................................4 Skills for Effective Mentors ...............................................................................................................7 Ethical Considerations for the Peer Mentor

  9. TABLE54.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) Forms EIA-812, "Monthly Product Pipeline Report," and EIA-813, Monthly Crude Oil Report." Table 54. Movements of Crude Oil and Petroleum Products by Pipeline...

  10. TABLE11.CHP:Corel VENTURA

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    (Thousand Barrels) Table 11. PAD District II-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum January-July 2004 Products, Crude Oil...

  11. TABLE15.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Table 15. PAD District III-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...

  12. TABLE19.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Table 19. PAD District IV-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...

  13. TABLE OF CONTENTS NIST Map ...................................................................................................................................................3

    E-Print Network [OSTI]

    TABLE OF CONTENTS NIST Map the Power Grid PML TIME SPEAKER UNIVERSITY TITLE LAB 3:00P Brian Weinstein American University Temperature

  14. Degradation Modeling and Monitoring of Truncated Degradation Signals Rensheng Zhou, Nagi Gebraeel, and Nicoleta Serban

    E-Print Network [OSTI]

    Serban, Nicoleta

    Degradation Modeling and Monitoring of Truncated Degradation Signals Rensheng Zhou, Nagi Gebraeel a sensor-based degradation signal reaches a pre-specified failure threshold. Parametric degradation models, in most applications, degradation signals can only be observed up to the failure threshold resulting

  15. Clad Degradation - FEPs Screening Arguments

    SciTech Connect (OSTI)

    E. Siegmann

    2004-03-17T23:59:59.000Z

    The purpose of this report is to document the screening of the cladding degradation features, events, and processes (FEPs) for commercial spent nuclear fuel (CSNF). This report also addresses the effect of some FEPs on both the cladding and the CSNF, DSNF, and HLW waste forms where it was considered appropriate to address the effects on both materials together. This report summarizes the work of others to screen clad degradation FEPs in a manner consistent with, and used in, the Total System Performance Assessment-License Application (TSPA-LA). This document was prepared according to ''Technical Work Plan for Waste Form Degradation Modeling, Testing, and Analyses in Support of LA'' (BSC 2004a [DIRS 167796]).

  16. PROPERTY TABLES AND CHARTS (SI UNITS) Table A1 Molar mass, gas constant, and

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    Table A­20 Ideal-gas properties of carbon dioxide, CO2 Table A­21 Ideal-gas properties of carbon.1355 n-Butane C4H10 58.124 0.1430 425.2 3.80 0.2547 Carbon dioxide CO2 44.01 0.1889 304.2 7.39 0Appendix 1 PROPERTY TABLES AND CHARTS (SI UNITS) Table A­1 Molar mass, gas constant, and critical

  17. Statistical Modeling of Photovoltaic Reliability Using Accelerated Degradation Techniques (Poster)

    SciTech Connect (OSTI)

    Lee, J.; Elmore, R.; Jones, W.

    2011-02-01T23:59:59.000Z

    We introduce a cutting-edge life-testing technique, accelerated degradation testing (ADT), for PV reliability testing. The ADT technique is a cost-effective and flexible reliability testing method with multiple (MADT) and Step-Stress (SSADT) variants. In an environment with limited resources, including equipment (chambers), test units, and testing time, these techniques can provide statistically rigorous prediction of lifetime and other interesting parameters, such as failure rate, warranty time, mean time to failure, degradation rate, activation energy, acceleration factor, and upper limit level of stress. J-V characterization can be used for degradation data and the generalized Eyring model can be used for the thermal-humidity stress condition. The SSADT model can be constructed based on the cumulative damage model (CEM), which assumes that the remaining test united are failed according to cumulative density function of current stress level regardless of the history on previous stress levels.

  18. Supplemental Tables to the Annual Energy Outlook

    Reports and Publications (EIA)

    2014-01-01T23:59:59.000Z

    The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

  19. Methods of degrading napalm B

    DOE Patents [OSTI]

    Tyndall, Richard L. (Clinton, TN); Vass, Arpad (Oak Ridge, TN)

    1995-01-01T23:59:59.000Z

    Methods of degrading napalm and/or trinitrotoluene involve contacting the waste with specific intra-amoebic isolates of ATCC 40908 and/or dispersants derived therefrom. Useful isolates include is deposited as ATCC 77529, NAP-1 deposited as ATCC 77526 and 13 deposited as ATCC 77527.

  20. Computer Modeling Illuminates Degradation Pathways of

    E-Print Network [OSTI]

    Computer Modeling Illuminates Degradation Pathways of Cations in Alkaline Membrane Fuel Cells Cation degradation insights obtained by computational modeling could result in better performance are effective in increasing cation stability. With the help of computational modeling, more cations are being

  1. Cindy Zer and Guillaume Chanfreau Degradation

    E-Print Network [OSTI]

    Chanfreau, Guillaume

    Cindy Zer and Guillaume Chanfreau Degradation RNase III Cleavage and Exonucleolytic Aci-reductone Dioxygenase mRNA by RNase III Cleavage and Exonucleolytic Degradation* Received for publication, May 31, 2005

  2. Cellulose degradation system of Cytophaga hutchinsonii 

    E-Print Network [OSTI]

    Liu, Chao-Kuo

    2012-11-30T23:59:59.000Z

    In this project, Cytophaga hutchinsonii, an aerobic gliding bacterium with cellulose-degrading ability, was studied, since its cellulase system was unknown and might be very different from those of other cellulose-degrading ...

  3. PEM Degradation Investigation Final Technical Report

    SciTech Connect (OSTI)

    Dan Stevenson; Lee H Spangler

    2010-10-18T23:59:59.000Z

    This project conducted fundamental studies of PEM MEA degradation. Insights gained from these studies were disseminated to assist MEA manufacturers in understanding degradation mechanisms and work towards DOE 2010 fuel cell durability targets.

  4. FCV Learning Demonstration: Factors Affecting Fuel Cell Degradation (Presentation)

    SciTech Connect (OSTI)

    Kurtz, J.; Wipke, K.; Sprik, S.

    2008-06-18T23:59:59.000Z

    Presentation on the NREL Fuel Cell Vehicle learning demonstration prepared for the 2008 ASME Fuel Cell Conference.

  5. Mechanism Based Anticancer Drugs that Degrade Sp Transcription Factors 

    E-Print Network [OSTI]

    Chadalapaka, Gayathri

    2013-03-14T23:59:59.000Z

    ,11-dioxo-18?-olean-1,12- dien-30-oate (CDODA-Me) is a synthetic triterpenoid derived from glycyrrhetinic acid which inhibits proliferation of KU7 and 253JB-V bladder cancer cells. CDODA-Me also decreased expression of specificity protein-1 (Sp1), Sp3 and Sp...

  6. Degradation of Ionic Pathway in PEM Fuel Cell Cathode. | EMSL

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

    Degradation of Ionic Pathway in PEM Fuel Cell Cathode. Degradation of Ionic Pathway in PEM Fuel Cell Cathode. Abstract: The degradation of the ionic pathway throughout the catalyst...

  7. Enzymatic Degradation of Cellulose by the Filamentous Fungus Neurospora crassa

    E-Print Network [OSTI]

    Phillips, Christopher Michael

    2011-01-01T23:59:59.000Z

    of plant cell wall degradation by the model filamentousessential for chitin degradation, J. Biol. Chem. 280, 28492-Trichoderma-Reesei in the Degradation of Cellulose, Bio-

  8. SLOW DEGRADATION AND ELECTRON INJECTION IN SODIUM-B ALUMINAS

    E-Print Network [OSTI]

    De Jonghe, Lutgard C.

    2013-01-01T23:59:59.000Z

    transfer of 703 XBB 804 4126 Degradation of sulfur side ofsilver staining. The degradation layer becomes more uniformMaterials Science SLOW DEGRADATION AND ELECTRON INJECTION IN

  9. INITIATION OF DEGRADATION IN POLYCRYSTALLINE SODIUM-BETA ALUMINA ELECTROLYTES

    E-Print Network [OSTI]

    De Jonghe, L.C.

    2010-01-01T23:59:59.000Z

    boundaries. XBB 804 4130 2B Degradation initiation at 300 C,the Proceedings INITIATION OF DEGRADATION IN POLYCRYSTALLINEs w a m INITIATION OF DEGRADATION IN POLYCRYSTALLINE SODIUM-

  10. In vitro analysis of ER-associated protein degradation

    E-Print Network [OSTI]

    Garza, Renee Marie

    2008-01-01T23:59:59.000Z

    required for ER-associated degradation. Nat Cell Biol, 3,Cue1p in ubiquitination and degradation at the ER surface.1999) Measuring protein degradation with green fluorescent

  11. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  12. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

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

    table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  13. Service Degradation in Context Management Ahmed Shawky

    E-Print Network [OSTI]

    Hansen, René Rydhof

    Service Degradation in Context Management Frameworks Ahmed Shawky Networks and Security Dept aware application. This paper will review the service degradation in Context Management Frameworks (CMF in sever degradation? 2) What is the impact of the delay estimation on the mmPr? 3) How can this knowledge

  14. Permeation & Degradation Data Introduction to the

    E-Print Network [OSTI]

    Oyet, Alwell

    Permeation & Degradation Data 8thEDITION #12;Introduction to the 8th Edition When reviewing. Ansell's ASTM standard permeation and degradation tests are presented on the following pages as an aid ratings are comparisons of permeation rates to each other. Degradation is a reduction in one or more

  15. Structural Degradation in Mediterranean Sea Food Webs

    E-Print Network [OSTI]

    Myers, Ransom A.

    Structural Degradation in Mediterranean Sea Food Webs: Testing Ecological Hypotheses Using in species composition and abun- dance in marine ecosystems which translate into degradation of food of ecosystem degradation. We assembled species lists and ecological information for both re- gions and time

  16. ACCELERATED DESTRUCTIVE DEGRADATION TESTS: DATA, MODELS,

    E-Print Network [OSTI]

    ACCELERATED DESTRUCTIVE DEGRADATION TESTS: DATA, MODELS, AND ANALYSIS Luis A. Escobar Dept Group Hewlett-Packard Corvallis, OR 97330, USA Abstract Degradation data analysis is a powerful tool for reliability assessment. Useful reliability information is available from degradation data when there are few

  17. Seawater degradation of polymeric composites 

    E-Print Network [OSTI]

    Grant, Timothy Sean

    1991-01-01T23:59:59.000Z

    level, without a noticeable effect on material property degradation, in graphite epoxy systems. The effect of pressure is small; the trends indicate that pressure increases slightly the equilibrium saturation level. DEDICATION This work.../Graphite SEM Results 13 Vinylester 510/Graphite SEM Results 14 Comparison of Equilibrium Saturation Levels 15 Comparison of Ultimate Tensile Strengths 16 Summary of Equilibrium Saturation Levels Page 26 32 40 42 47 52 54 63 65 67 69 71 73...

  18. Methods for degrading lignocellulosic materials

    SciTech Connect (OSTI)

    Vlasenko, Elena (Davis, CA); Cherry, Joel (Davis, CA); Xu, Feng (Davis, CA)

    2011-05-17T23:59:59.000Z

    The present invention relates to methods for degrading a lignocellulosic material, comprising: treating the lignocellulosic material with an effective amount of one or more cellulolytic enzymes in the presence of at least one surfactant selected from the group consisting of a secondary alcohol ethoxylate, fatty alcohol ethoxylate, nonylphenol ethoxylate, tridecyl ethoxylate, and polyoxyethylene ether, wherein the presence of the surfactant increases the degradation of lignocellulosic material compared to the absence of the surfactant. The present invention also relates to methods for producing an organic substance, comprising: (a) saccharifying a lignocellulosic material with an effective amount of one or more cellulolytic enzymes in the presence of at least one surfactant selected from the group consisting of a secondary alcohol ethoxylate, fatty alcohol ethoxylate, nonylphenol ethoxylate, tridecyl ethoxylate, and polyoxyethylene ether, wherein the presence of the surfactant increases the degradation of lignocellulosic material compared to the absence of the surfactant; (b) fermenting the saccharified lignocellulosic material of step (a) with one or more fermenting microorganisms; and (c) recovering the organic substance from the fermentation.

  19. Methods for degrading lignocellulosic materials

    DOE Patents [OSTI]

    Vlasenko, Elena (Davis, CA); Cherry, Joel (Davis, CA); Xu, Feng (Davis, CA)

    2008-04-08T23:59:59.000Z

    The present invention relates to methods for degrading a lignocellulosic material, comprising: treating the lignocellulosic material with an effective amount of one or more cellulolytic enzymes in the presence of at least one surfactant selected from the group consisting of a secondary alcohol ethoxylate, fatty alcohol ethoxylate, nonylphenol ethoxylate, tridecyl ethoxylate, and polyoxyethylene ether, wherein the presence of the surfactant increases the degradation of lignocellulosic material compared to the absence of the surfactant. The present invention also relates to methods for producing an organic substance, comprising: (a) saccharifying a lignocellulosic material with an effective amount of one or more cellulolytic enzymes in the presence of at least one surfactant selected from the group consisting of a secondary alcohol ethoxylate, fatty alcohol ethoxylate, nonylphenol ethoxylate, tridecyl ethoxylate, and polyoxyethylene ether, wherein the presence of the surfactant increases the degradation of lignocellulosic material compared to the absence of the surfactant; (b) fermenting the saccharified lignocellulosic material of step (a) with one or more fermentating microoganisms; and (c) recovering the organic substance from the fermentation.

  20. Stimulus Degradation and Sleep Deprivation THE EFFECTS OF STIMULUS DEGRADATION AFTER 48

    E-Print Network [OSTI]

    Stimulus Degradation and Sleep Deprivation 1 THE EFFECTS OF STIMULUS DEGRADATION AFTER 48 HOURS OF SLEEP DEPRIVATION Running Head: Stimulus Degradation and Sleep Deprivation Brian C. Rakitin, Ph.D.1, 4-342-1838 (fax) br130@columbia.edu #12;Stimulus Degradation and Sleep Deprivation 2 Abstract Study Objectives

  1. Degradation

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavid Turner David3 |A Sign In About | Careers

  2. FY 2015 Summary Control Table by Organization

    Energy Savers [EERE]

    5 Summary Control Table by Organization (dollars in thousands - OMB Scoring) Summary Control by Organization Page 1 FY 2015 Congressional Request FY 2013 FY 2014 FY 2014 FY 2014 FY...

  3. TABLES3.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    S3. Crude Oil and Petroleum Product Imports, 1988 - Present (Thousand Barrels per Day) See footnotes at end of table. 1988 Average ... 300 58 345 343 92 80 0 0 1989...

  4. Optical transmittance degradation in tapered fibers

    E-Print Network [OSTI]

    Masazumi Fujiwara; Kiyota Toubaru; Shigeki Takeuchi

    2012-07-27T23:59:59.000Z

    We investigated the cause of optical transmittance degradation in tapered fibers. Degradation commences immediately after fabrication and it eventually reduces the transmittance to almost zero. It is a major problem that limits applications of tapered fibers. We systematically investigated the effect of the dust-particle density and the humidity on the degradation dynamics. The results clearly show that the degradation is mostly due to dust particles and that it is not related to the humidity. In a dust free environment it is possible to preserve the transmittance with a degradation of less than the noise (+/- ?0.02) over 1 week.

  5. Measuring Degradation Rates Without Irradiance Data

    SciTech Connect (OSTI)

    Pulver, S.; Cormode, D.; Cronin, A.; Jordan, D.; Kurtz, S.; Smith, R.

    2011-02-01T23:59:59.000Z

    A method to report PV system degradation rates without using irradiance data is demonstrated. First, a set of relative degradation rates are determined by comparing daily AC final yields from a group of PV systems relative to the average final yield of all the PV systems. Then, the difference between relative and absolute degradation rates is found from a statistical analysis. This approach is verified by comparing to methods that utilize irradiance data. This approach is significant because PV systems are often deployed without irradiance sensors, so the analysis method described here may enable measurements of degradation using data that were previously thought to be unsuitable for degradation studies.

  6. STRUCTURAL PERFORMANCE OF DEGRADED REINFORCED CONCRETE MEMBERS.

    SciTech Connect (OSTI)

    Braverman, J.I.; Miller, C.A.; Ellingwood, B.R.; Naus, D.J.; Hofmayer, C.H.; Bezler, P.; Chang, T.Y.

    2001-03-22T23:59:59.000Z

    This paper describes the results of a study to evaluate, in probabilistic terms, the effects of age-related degradation on the structural performance of reinforced concrete members at nuclear power plants. The paper focuses on degradation of reinforced concrete flexural members and shear walls due to the loss of steel reinforcing area and loss of concrete area (cracking/spalling). Loss of steel area is typically caused by corrosion while cracking and spalling can be caused by corrosion of reinforcing steel, freeze-thaw, or aggressive chemical attack. Structural performance in the presence of uncertainties is depicted by a fragility (or conditional probability of failure). The effects of degradation on the fragility of reinforced concrete members are calculated to assess the potential significance of various levels of degradation. The fragility modeling procedures applied to degraded concrete members can be used to assess the effects of degradation on plant risk and can lead to the development of probability-based degradation acceptance limits.

  7. Syntrophic Degradation of Lactate in Methanogenic Co-cultures

    E-Print Network [OSTI]

    Meyer, Birte

    2010-01-01T23:59:59.000Z

    dynamics during lactate degradation 2 Lactate + 4 H 2 O ? 2N-2222 Syntrophic Degradation of Lactate in Methanogenic

  8. Waste Form Degradation Model Integration for Engineered Materials...

    Office of Environmental Management (EM)

    Waste Form Degradation Model Integration for Engineered Materials Performance Waste Form Degradation Model Integration for Engineered Materials Performance The collaborative...

  9. Materials Degradation in Light Water Reactors: Life After 60,???

    SciTech Connect (OSTI)

    Busby, Jeremy T [ORNL; Nanstad, Randy K [ORNL; Stoller, Roger E [ORNL; Feng, Zhili [ORNL; Naus, Dan J [ORNL

    2008-04-01T23:59:59.000Z

    Nuclear reactors present a very harsh environment for components service. Components within a reactor core must tolerate high temperature water, stress, vibration, and an intense neutron field. Degradation of materials in this environment can lead to reduced performance, and in some cases, sudden failure. A recent EPRI-led study interviewed 47 US nuclear utility executives to gauge perspectives on long-term operation of nuclear reactors. Nearly 90% indicated that extensions of reactor lifetimes to beyond 60 years were likely. When polled on the most challenging issues facing further life extension, two-thirds cited plant reliability as the key issue with materials aging and cable/piping as the top concerns for plant reliability. Materials degradation within a nuclear power plant is very complex. There are many different types of materials within the reactor itself: over 25 different metal alloys can be found with can be found within the primary and secondary systems, not to mention the concrete containment vessel, instrumentation and control, and other support facilities. When this diverse set of materials is placed in the complex and harsh environment coupled with load, degradation over an extended life is indeed quite complicated. To address this issue, the USNRC has developed a Progressive Materials Degradation Approach (NUREG/CR-6923). This approach is intended to develop a foundation for appropriate actions to keep materials degradation from adversely impacting component integrity and safety and identify materials and locations where degradation can reasonably be expected in the future. Clearly, materials degradation will impact reactor reliability, availability, and potentially, safe operation. Routine surveillance and component replacement can mitigate these factors, although failures still occur. With reactor life extensions to 60 years or beyond or power uprates, many components must tolerate the reactor environment for even longer times. This may increase susceptibility for most components and may introduce new degradation modes. While all components (except perhaps the reactor vessel) can be replaced, it may not be economically favorable. Therefore, understanding, controlling, and mitigating materials degradation processes are key priorities for reactor operation, power uprate considerations, and life extensions. This document is written to give an overview of some of the materials degradation issues that may be key for extend reactor service life. A detailed description of all the possible forms of degradation is beyond the scope of this short paper and has already been described in other documents (for example, the NUREG/CR-6923). The intent of this document is to present an overview of current materials issues in the existing reactor fleet and a brief analysis of the potential impact of extending life beyond 60 years. Discussion is presented in six distinct areas: (1) Reactor pressure vessel; (2) Reactor core and primary systems; (3) Reactor secondary systems; (4) Weldments; (5) Concrete; and (6) Modeling and simulations. Following each of these areas, some research thrust directions to help identify and mitigate lifetime extension issues are proposed. Note that while piping and cabling are important for extended service, these components are discussed in more depth in a separate paper. Further, the materials degradation issues associated with fuel cladding and fuel assemblies are not discussed in this section as these components are replaced periodically and will not influence the overall lifetime of the reactor.

  10. Qualified Energy Conservation Bond State-by-State Summary Tables

    Broader source: Energy.gov [DOE]

    Provides a list of qualified energy conservation bond state summary tables. Author: Energy Programs Consortium

  11. Considerations for a Standardized Test for Potential-Induced Degradation of Crystalline Silicon PV Modules (Presentation)

    SciTech Connect (OSTI)

    Hacke, P.

    2012-03-01T23:59:59.000Z

    Over the past decade, there have been observations of module degradation and power loss because of the stress that system voltage bias exerts. This results in part from qualification tests and standards note adequately evaluating for the durability of modules to the long-term effects of high voltage bias that they experience in fielded arrays. This talk deals with factors for consideration, progress, and information still needed for a standardized test for degradation due to system voltage stress.

  12. Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics for the alluvium (Stephens et al.).

    E-Print Network [OSTI]

    A-1 Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics Deviation .1708 4.274 28.95 Harmonic Mean Number of Observations 9 8 8 2 2 2 2 2 Table A2. Hydraulic.3×10-5 Number of Observations 10 10 10 34 34 4 4 4 #12;A-2 Table A3. Hydraulic properties statistics

  13. Photovoltaic Degradation Rates -- An Analytical Review

    SciTech Connect (OSTI)

    Jordan, D. C.; Kurtz, S. R.

    2012-06-01T23:59:59.000Z

    As photovoltaic penetration of the power grid increases, accurate predictions of return on investment require accurate prediction of decreased power output over time. Degradation rates must be known in order to predict power delivery. This article reviews degradation rates of flat-plate terrestrial modules and systems reported in published literature from field testing throughout the last 40 years. Nearly 2000 degradation rates, measured on individual modules or entire systems, have been assembled from the literature, showing a median value of 0.5%/year. The review consists of three parts: a brief historical outline, an analytical summary of degradation rates, and a detailed bibliography partitioned by technology.

  14. Sandia National Laboratories: hydrogen degradation of materials

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

    degradation of materials ECIS-I2CNER: Hydrogen Infrastructure Research Aids Energy Independence Goal On February 14, 2013, in CRF, Energy, Livermore Valley Open Campus (LVOC),...

  15. Degradation mechanisms and accelerated testing in PEM fuel cells

    SciTech Connect (OSTI)

    Borup, Rodney L [Los Alamos National Laboratory; Mukundan, Rangachary [Los Alamos National Laboratory

    2010-01-01T23:59:59.000Z

    The durability of PEM fuel cells is a major barrier to the commercialization of these systems for stationary and transportation power applications. Although there has been recent progress in improving durability, further improvements are needed to meet the commercialization targets. Past improvements have largely been made possible because of the fundamental understanding of the underlying degradation mechanisms. By investigating component and cell degradation modes; defining the fundamental degradation mechanisms of components and component interactions new materials can be designed to improve durability. Various factors have been shown to affect the useful life of PEM fuel cells. Other issues arise from component optimization. Operational conditions (such as impurities in either the fuel and oxidant stream), cell environment, temperature (including subfreezing exposure), pressure, current, voltage, etc.; or transient versus continuous operation, including start-up and shutdown procedures, represent other factors that can affect cell performance and durability. The need for Accelerated Stress Tests (ASTs) can be quickly understood given the target lives for fuel cell systems: 5000 hours ({approx} 7 months) for automotive, and 40,000 hrs ({approx} 4.6 years) for stationary systems. Thus testing methods that enable more rapid screening of individual components to determine their durability characteristics, such as off-line environmental testing, are needed for evaluating new component durability in a reasonable turn-around time. This allows proposed improvements in a component to be evaluated rapidly and independently, subsequently allowing rapid advancement in PEM fuel cell durability. These tests are also crucial to developers in order to make sure that they do not sacrifice durability while making improvements in costs (e.g. lower platinum group metal [PGM] loading) and performance (e.g. thinner membrane or a GDL with better water management properties). To achieve a deeper understanding and improve PEM fuel cell durability LANL is conducting research to better define fuel cell component degradation mechanisms and correlate AST measurements to component in 'real-world' situations.

  16. Table Definitions, Sources, and Explanatory Notes

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Table

  17. In vitro model of injury/cytokine-induced cartilage catabolism modulated by dynamic compression, growth factors, and glucocorticoids

    E-Print Network [OSTI]

    Li, Yang, Ph. D. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    The degradation of articular cartilage is the hallmark in the pathogenesis of osteoarthritis (OA). It still remains largely unknown which precise mechanisms initiate cartilage degradation. However, risks factors include ...

  18. ENVIRONENTAL DEGRADATION OF ADVANCED AND TRADITIONAL ENGINERING Chapter 14. Forms of Polymer Degradation: Overview

    E-Print Network [OSTI]

    Roylance, David

    ENVIRONENTAL DEGRADATION OF ADVANCED AND TRADITIONAL ENGINERING MATERIALS Chapter 14. Forms of Polymer Degradation: Overview Margaret Roylance and David Roylance 1. Introduction 1.1. Usage of polymeric of Environmental Degradation in Polymers 2.1. Thermal depolymerization 2.2. Photolytic oxidation 2.3. Moisture

  19. Lysozyme Degradation by the Bovine Multicatalytic Proteinase Complex (Proteasome): Evidence for a Nonprocessive Mode of Degradation

    E-Print Network [OSTI]

    Chait, Brian T.

    Lysozyme Degradation by the Bovine Multicatalytic Proteinase Complex (Proteasome): Evidence for a Nonprocessive Mode of Degradation Rong Wang, Brian T. Chait, Imrey Wolf,§ Ronald A. Kohanski,§ and Christopher suggest that degradation of proteins by the complex is processive and have led to the proposal

  20. Cell Degradation of a Na-NiCl2 (ZEBRA) Battery

    SciTech Connect (OSTI)

    Li, Guosheng; Lu, Xiaochuan; Kim, Jin Yong; Lemmon, John P.; Sprenkle, Vincent L.

    2013-11-01T23:59:59.000Z

    In this work, the parameters influencing the degradation of a Na-NiCl2 (ZEBRA) battery were investigated. Planar Na-NiCl2 cells using ?”-alumina solid electrolyte (BASE) were tested with different C-rates, Ni/NaCl ratios, and capacity windows, in order to identify the key parameters for the degradation of Na-NiCl2 battery. The morphology of NaCl and Ni particles were extensively investigated after 60 cycles under various test conditions using a scanning electron microscope. A strong correlation between the particle size (NaCl and Ni) and battery degradation was observed in this work. Even though the growth of both Ni and NaCl can influence the cell degradation, our results indicate that the growth of NaCl is a dominant factor in cell degradation. The use of excess Ni seems to play a role in tolerating the negative effects of particle growth on degradation since the available active surface area of Ni particles can be still sufficient even after particle growth. For NaCl, a large cycling window was the most significant factor, of which effects were amplified with decrease in Ni/NaCl ratio.

  1. Durability Improvements Through Degradation Mechanism Studies

    E-Print Network [OSTI]

    ) and carbon corrosion measurements #12;Budget DOE Cost Share Recipient Cost Share TOTAL $8,225,000 $501,263 $8 of an integrated comprehensive model of cell degradation · Methods to mitigate degradation of components #12 and mechanical stabilized ionomers. M4: LANL: Completion of drive cycle (load) life testing with start

  2. Table of Contents ODS Scholars 1

    E-Print Network [OSTI]

    Chapman, Michael S.

    Table of Contents ODS Scholars 1 Endowed Lecture 1 Senju 3 Research Awards 4 Dr. Stewart 5 OHSU (see page two) 2011 ODS Scholars Announced May 2 The $300,000 gift from the ODS Companies provides five students recently were selected as ODS Scholars for 2011-2012. The awardees were announced at the third

  3. Section 4. Inventory Table of Contents

    E-Print Network [OSTI]

    Section 4. Inventory Table of Contents 4.1 Existing Legal Protections........................................................................................................... 14 #12;Draft Umatilla/Willow Subbasin Plan May 28, 2004 4. Inventory of Existing Activities The following section contains information derived from an inventory questionnaire that was sent

  4. Philosophy 57 Greensheet (Syllabus) Table of Contents

    E-Print Network [OSTI]

    Fitelson, Branden

    Philosophy 57 Greensheet (Syllabus) Table of Contents: Instructor Information Course Home Page Greensheet Page Page 1 of 3http://philosophy.wisc.edu/fitelson/57/syllabus.htm #12;I highly recommend using/syllabus.htm #12;Your 2 lowest quiz grades will be dropped ( , your 5 best quiz scores will be averaged). i

  5. CONTROL OF HAZARDOUS ENERGY Table Of Contents

    E-Print Network [OSTI]

    US Army Corps of Engineers

    EM 385-1-1 XX Sep 13 i Section 12 CONTROL OF HAZARDOUS ENERGY Table Of Contents Section: Page 12.A General.................. .............................................. ... .12-1 12.B Hazardous Energy.......................................................12-6 #12;EM 385-1-1 XX Sep 13 12-1 SECTION 12 CONTROL OF HAZARDOUS ENERGY 12.A GENERAL 12.A.01 When

  6. A reconstruction of the tables of Thompson's

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A reconstruction of the tables of Thompson's Logarithmetica Britannica (1952) Denis Roegel 20-21Dec2011 #12;hal-00654453,version1-21Dec2011 #12;1 Alexander John Thompson (1885­19??) Alexander John Thompson was born in 1885 in Plaistow, Essex, England. In 1920, he joined the statistical staff

  7. TABLE OF CONTENTS Organizational Profile i

    E-Print Network [OSTI]

    Magee, Joseph W.

    1 #12;2 TABLE OF CONTENTS Organizational Profile i Leadership 1 1.1a. Vision, Values and Mission 1 1.1b. Communication and Organizational Performance 3 1.2a. Organizational Governance 3 1.2b. Legal employees with ORGANIZATIONAL PROFILE $26 million in revenue. Most of that revenue was generated by its

  8. Table of hyperfine anomaly in atomic systems

    SciTech Connect (OSTI)

    Persson, J.R., E-mail: jonas.persson@ntnu.no

    2013-01-15T23:59:59.000Z

    This table is a compilation of experimental values of magnetic hyperfine anomaly in atomic and ionic systems. The last extensive compilation was published in 1984 by Büttgenbach [S. Büttgenbach, Hyperfine Int. 20 (1984) 1] and the aim here is to make an up to date compilation. The literature search covers the period up to January 2011.

  9. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Orgnztnl Bhvr &Hum Resrce OLS OLS Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12;Schedule Worksheet - Table of Contents

  10. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    ;Schedule Worksheet - Table of Contents Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Music History & Theory NRES NRES-Natural Res & Environ Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12

  11. VEHICLE SERVICES POLICY Table of Contents

    E-Print Network [OSTI]

    Shihadeh, Alan

    VEHICLE SERVICES POLICY Table of Contents 1. Policy 2. Procedures a. Vehicle Services Oversight b. Vehicle Maintenance and Inspection c. Authorized Drivers d. Responsibilities Back to Top (To download requirements for AUB's vehicles, the University has adopted a policy of centralizing these activities under one

  12. Streiffer's Job Market Sampler Table of Contents

    E-Print Network [OSTI]

    Streiffer, Robert

    Streiffer's Job Market Sampler Table of Contents · Cover letters addressing a variety of jobs Dean Sigman, I am writing to apply for position number 8, advertised in Jobs for Philosophers, volume. Respectfully yours, Robert Streiffer (rstreiff@mit.edu) #12;Cover letter for a job listing which

  13. VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents

    E-Print Network [OSTI]

    US Army Corps of Engineers

    of a license/permit for each piece of equipment, an Operator Equipment Qualification Record (DA Form 348EM 385-1-1 XX Sep 13 i Section 18 VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents Section: Page...................................................................18-16 18.G Machinery And Mechanized Equipment.........................18-16 18.H Drilling Equipment

  14. WORK PLATFORMS and SCAFFOLDING Table Of Contents

    E-Print Network [OSTI]

    US Army Corps of Engineers

    EM 385-1-1 XX Sep 13 i Section 22 WORK PLATFORMS and SCAFFOLDING Table Of Contents Section: Page 22 (Personnel) Platforms...................22-33 22.L Elevating Work Platforms..............................................22-33 22.M Vehicle-Mounted Elevating And Rotating Work Platforms (Aerial Devices

  15. Energy Price Indices and Discount Factors for Life-Cycle Cost...

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

    2 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Report provides tables of present-value factors for use in the life-cycle cost analysis of capital...

  16. Factors influencing food selection by students in a university foodservice

    E-Print Network [OSTI]

    Clement, Camille Therese

    1989-01-01T23:59:59.000Z

    In food seleotlon considered most Important by males and females. 17 60 40 20 CV CO CO ~ MAlES Q FEMAlE SENSORy OCNVENENCE NUTRIENT KCALORIE FOOD SELECTION FACTORS RG. 3. Comparison of factors In food selection considered least Important... that I could achieve it, and the opportunity to do so. I loveyou. TABLE OF CONTENTS vl Page ABSTRACT s . o o ~ o o ~ ~ ~ o o o ~ s o e o ~ ACKNOWLEDGMENTS ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ v TABLE OF CONTENTS . . . . . . . . . . . ~ ~ ~ ~ . . vi...

  17. THE AUDIO DEGRADATION TOOLBOX AND ITS APPLICATION TO ROBUSTNESS EVALUATION

    E-Print Network [OSTI]

    Mauch, Matthias

    THE AUDIO DEGRADATION TOOLBOX AND ITS APPLICATION TO ROBUSTNESS EVALUATION Matthias Mauch Sebastian.ewert}@eecs.qmul.ac.uk ABSTRACT We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio signals degradation. For example, audio is degraded by low-quality microphones, noisy recording environments, MP3

  18. Fusion Tables : new ways to collaborate on structured data

    E-Print Network [OSTI]

    Kidon, Jonathan Goldberg

    2010-01-01T23:59:59.000Z

    Fusion Tables allows data collaborators to create, merge, navigate and set access control permissions on structured data. This thesis focuses on the collaboration tools that were added to Googles Fusion Tables. The ...

  19. MemTable : contextual memory in group workspaces

    E-Print Network [OSTI]

    Hunter, Seth E

    2009-01-01T23:59:59.000Z

    This thesis presents the design and implementation of MemTable, an interactive touch table that supports co-located group meetings by capturing both digital and physical interactions in its memory. The goal of the project ...

  20. Gate dielectric degradation: Pre-existing vs. generated defects

    SciTech Connect (OSTI)

    Veksler, Dmitry, E-mail: Dmitry.Veksler@sematech.org, E-mail: gennadi.bersuker@sematech.org; Bersuker, Gennadi, E-mail: Dmitry.Veksler@sematech.org, E-mail: gennadi.bersuker@sematech.org [SEMATECH Inc., 257 Fuller Rd., Albany, New York 12203 (United States)

    2014-01-21T23:59:59.000Z

    We consider the possibility that degradation of the electrical characteristics of high-k gate stacks under low voltage stresses of practical interest is caused primarily by activation of pre-existing defects rather than generation of new ones. In nFETs in inversion, in particular, defect activation is suggested to be associated with the capture of an injected electron: in this charged state, defects can participate in a fast exchange of charge carriers with the carrier reservoir (substrate or gate electrode) that constitutes the physical process underlying a variety of electrical measurements. The degradation caused by the activation of pre-existing defects, as opposed to that of new defect generation, is both reversible and exhibits a tendency to saturate through the duration of stress. By using the multi-phonon assisted charge transport description, it is demonstrated that the trap activation concept allows reproducing a variety of experimental results including stress time dependency of the threshold voltage, leakage current, charge pumping current, and low frequency noise. Continuous, long-term degradation described by the power law time dependency is shown to be determined by the activation of defects located in the interfacial SiO{sub 2} layer of the high-k gate stacks. The findings of this study can direct process optimization efforts towards reduction of as-grown precursors of the charge trapping defects as the major factor affecting reliability.

  1. Calculation of extremity neutron fluence-to-dose equivalent conversion factors

    E-Print Network [OSTI]

    Wood-Zika, Annmarie Ruth

    1997-01-01T23:59:59.000Z

    surface fluence spectra 45 LIST OF TABLES TABLE Page Properties of commercially available TLDs . . PNNL dose equivalent averaged quality factors . 16 3 MCNP input deck geometries Phantoms modeled in MCNP input decks . . Comparison of calculated..., PNNL and DOELAP fluence-to-dose equivalent conversion factors for bare '"Cf . . . . 37 Comparison of calculated, PNNL and DOELAP fluence-to-dose equivalent conversion factors for D, O moderated '"Cf. 37 Fluence-to-dose equivalent conversion factors...

  2. The ER-associated degradation (ERAD) pathway directs ubiquitin-mediated degradation of a variety of ER-associated

    E-Print Network [OSTI]

    Hampton, Randy

    476 The ER-associated degradation (ERAD) pathway directs ubiquitin-mediated degradation carboxypeptidase Y DER degradation in the ER ERAD ER-associated degradation FPP farnesyl pyrophosphate HMGR 3-hydroxy 3-methylglutaryl-CoA reductase HRD HMG-CoA reductase degradation SCAP SREBP cleavage

  3. On the multiscale origins of fracture resistance in human bone and its biological degradation

    E-Print Network [OSTI]

    Zimmermann, Elizabeth A.

    2012-01-01T23:59:59.000Z

    and   its  biological  degradation   DISCLAIMER   This  and   its  biological  degradation   E.  A.  Zimmermanntissue  fails  due  to  degradation  of  the  collagen  

  4. Thermal degradation of the performance of elastomeric bearings for seismic isolation

    E-Print Network [OSTI]

    Shirazi, Ali

    2010-01-01T23:59:59.000Z

    CALIFORNIA, SAN DIEGO Thermal Degradation of the Performance90 Degradation of93 5 DEGRADATION PHENOMENON IN ELASTOMERIC BEARINGS AND THE

  5. Environmental Regulatory Update Table, January/February 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This table is for January/February 1992.

  6. Asymmetric mitosis: Unequal segregation of proteins destined for degradation

    E-Print Network [OSTI]

    De Robertis, Eddy M.

    Asymmetric mitosis: Unequal segregation of proteins destined for degradation Luis C. Fuentealba by polyubiquiti- nylation and proteasomal degradation after essential phosphory- lations by MAPK and glycogen- somal degradation are inherited preferentially by one mitotic daughter during somatic cell division

  7. Performance degradation of OFDM systems due to Doppler spreading

    E-Print Network [OSTI]

    Wang, T J; Proakis, J G; Masry, E; Zeidler, James R

    2006-01-01T23:59:59.000Z

    6, JUNE 2006 Performance Degradation of OFDM Systems Due toWANG et al. : PERFORMANCE DEGRADATION OF OFDM SYSTEM DUE TOWANG et al. : PERFORMANCE DEGRADATION OF OFDM SYSTEM DUE TO

  8. Regulation of cellular signaling pathways by endocytosis and protein degradation

    E-Print Network [OSTI]

    Windler, Sarah

    2010-01-01T23:59:59.000Z

    but dispensable for degradation. Dev. Cell. 2, 209-219. 40.Role for Slimb in the degradation of Drosophila Periodby targeting RhoA for degradation. Science 5651, 1775-1779.

  9. A genetic bistable switch utilizing nonlinear protein degradation

    E-Print Network [OSTI]

    Huang, Daniel; Holtz, William J; Maharbiz, Michel M

    2012-01-01T23:59:59.000Z

    T: Nonlinear protein degradation and the function of geneticRT: Evolution of the ssrA degradation tag in Mycoplasma:AD: Inducible protein degradation in Bacillus subtilis using

  10. Effective July 1, 2013 Table of Organization: College of Law

    E-Print Network [OSTI]

    Stanier, Charlie

    Effective July 1, 2013 Table of Organization: College of Law Dean Gail Agrawal Assistant to the Dean Legal Clinic Julie Kramer {See Clinic Table for organization} Special Assistant to the Dean Gerhild Krapf Centers {See separate tables for organization} Assoc. Dean for Research Assoc. Dean Assoc

  11. Table Contents Page i 2013 Nonresidential Compliance Manual January 2014

    E-Print Network [OSTI]

    Table B-1 Room Air Conditioner, Room Air-Conditioning Heat Pump, Packaged Terminal Air Conditioner ....................................................................................11 Table B-2 Standards for Room Air Conditioners and Room Air-Conditioning Heat Pumps...........12 Table B-3 Standards for Packaged Terminal Air Conditioners and Packaged Terminal Heat Pumps

  12. Degradation of Materials in Combustion Environments

    E-Print Network [OSTI]

    Robbins, J. M.; Federer, J. I.; Parks, W. P. Jr.; Reid, J. S.

    Report No.2, Analysis of Basic Refractories Degraded by Residual Oil Combustion Products," ORNL/TM-6088, February 1978. [4] G. C. Wei and V. J. Tennery, "Effects of Alternate Fuels Report No.3, Analysis of High-Duty Fireclay Refractories Degraded..., April 1978. [6] G. C. Wei and V. J. Tennery, "Effects of Alternate Fuels Report No.5, Analysis of Fused Cast AZS Refractory, Silica Refractory, and High-MgO Refractory Degraded by Residual Oil Combustion Products," ORNL/TM-6278, April 1978. [7] G...

  13. Integral CFLs performance in table lamps

    SciTech Connect (OSTI)

    Page, E.; Driscoll, D.; Siminovitch, M.

    1997-03-01T23:59:59.000Z

    This paper focuses on performance variations associated with lamp geometry and distribution in portable table luminaires. If correctly retrofit with compact fluorescent lamps (CFLs), these high use fixtures produce significant energy savings, but if misused, these products could instead generate consumer dissatisfaction with CFLs. It is the authors assertion that the lumen distribution of the light source within the luminaires plays a critical role in total light output, fixture efficiency and efficacy, and, perhaps most importantly, perceived brightness. The authors studied nearly 30 different integral (screw-based) CFLs available on the market today in search of a lamp, or group of lamps, which work best in portable table luminaires. The findings conclusively indicate that horizontally oriented CFLs outperform all other types of CFLs in nearly every aspect.

  14. Tables of thermodynamic properties of sodium

    SciTech Connect (OSTI)

    Fink, J.K.

    1982-06-01T23:59:59.000Z

    The thermodynamic properties of saturated sodium, superheated sodium, and subcooled sodium are tabulated as a function of temperature. The temperature ranges are 380 to 2508 K for saturated sodium, 500 to 2500 K for subcooled sodium, and 400 to 1600 K for superheated sodium. Tabulated thermodynamic properties are enthalpy, heat capacity, pressure, entropy, density, instantaneous thermal expansion coefficient, compressibility, and thermal pressure coefficient. Tables are given in SI units and cgs units.

  15. Project Profile: Degradation Mechanisms for Thermal Energy Storage...

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

    Degradation Mechanisms for Thermal Energy Storage and Heat Transfer Fluid Containment Materials Project Profile: Degradation Mechanisms for Thermal Energy Storage and Heat Transfer...

  16. Probing the Degradation Mechanisms in Electrolyte Solutions for...

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

    Degradation Mechanisms in Electrolyte Solutions for Li-ion Batteries by In-Situ Transmission Electron Microscopy. Probing the Degradation Mechanisms in Electrolyte Solutions for...

  17. Key Parameters Affecting DPF Performance Degradation and Impact...

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

    Parameters Affecting DPF Performance Degradation and Impact on Lifetime Fuel Economy Key Parameters Affecting DPF Performance Degradation and Impact on Lifetime Fuel Economy...

  18. Modeling-Thermo-electrochemistry, Capacity Degradation and Mechanics...

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

    Modeling-Thermo-electrochemistry, Capacity Degradation and Mechanics with SEI Layer Modeling-Thermo-electrochemistry, Capacity Degradation and Mechanics with SEI Layer 2011 DOE...

  19. Targeted Protein Degradation by Salmonella under Phagosome-Mimicking...

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

    Protein Degradation by Salmonella under Phagosome-Mimicking Culture Conditions Investigated Using Comparative Targeted Protein Degradation by Salmonella under Phagosome-Mimicking...

  20. Unraveling DPF Degradation using Chemical Tracers and Opportunities...

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

    Unraveling DPF Degradation using Chemical Tracers and Opportunities for Extending Filter Life Unraveling DPF Degradation using Chemical Tracers and Opportunities for Extending...

  1. Degradation of Structural Alloys Under Thermal Insulation

    E-Print Network [OSTI]

    McIntyre, D. R.

    1984-01-01T23:59:59.000Z

    Wet thermal insulation may actively degrade steel and stainless steel structures by general corrosion or stress-corrosion cracking. Two different mechanisms of water ingress into insulation are discussed; flooding from external sources...

  2. Synthetic biology approach to cellulose degradation 

    E-Print Network [OSTI]

    Lakhundi, Sahreena Saleem

    2012-06-22T23:59:59.000Z

    Cellulose, the most abundant biopolymer on earth, is composed of ? – 1,4 – linked glucose units, which in turn form a highly ordered crystalline structure that is insoluble and recalcitrant to degradation. It is the ...

  3. Method of degrading pollutants in soil

    DOE Patents [OSTI]

    Hazen, T.C.; Lopez-De-Victoria, G.

    1994-07-05T23:59:59.000Z

    Disclosed are a method and system for enhancing the motility of microorganisms. This is accomplished by placing an effective amount of chlorinated hydrocarbons, preferably chlorinated alkenes, and most preferably trichloroethylene in spaced relation to the microbes so that the surprisingly strong, monomodal, chemotactic response of the chlorinated hydrocarbon on subsurface microbes can draw the microbes away from or towards and into a substance, as desired. In remediation of groundwater pollution, for example, TCE can be injected into the plume to increase the population of microbes at the plume whereby the plume can be more quickly degraded. A TCE-degrading microbe, such as Welchia alkenophilia, can be used to degrade the TCE following the degradation of the original pollutant. 5 figures.

  4. Method of degrading pollutants in soil

    DOE Patents [OSTI]

    Hazen, Terry C. (Augusta, GA); Lopez-De-Victoria, Geralyne (Irmo, SC)

    1994-01-01T23:59:59.000Z

    A method and system for enhancing the motility of microorganisms by placing an effective amount of chlorinated hydrocarbons, preferably chlorinated alkenes, and most preferably trichloroethylene in spaced relation to the microbes so that the surprisingly strong, monomodal, chemotactic response of the chlorinated hydrocarbon on subsurface microbes can draw the microbes away from or towards and into a substance, as desired. In remediation of groundwater pollution, for example, TCE can be injected into the plume to increase the population of microbes at the plume whereby the plume can be more quickly degraded. A TCE-degrading microbe, such as Welchia alkenophilia, can be used to degrade the TCE following the degradation of the original pollutant.

  5. Chemotactic selection of pollutant degrading soil bacteria

    DOE Patents [OSTI]

    Hazen, T.C.

    1991-03-04T23:59:59.000Z

    A method is described for identifying soil microbial strains which may be bacterial degraders of pollutants. This method includes: Placing a concentration of a pollutant in a substantially closed container; placing the container in a sample of soil for a period of time ranging from one minute to several hours; retrieving the container and collecting its contents; microscopically determining the identity of the bacteria present. Different concentrations of the pollutant can be used to determine which bacteria respond to each concentration. The method can be used for characterizing a polluted site or for looking for naturally occurring biological degraders of the pollutant. Then bacteria identified as degraders of the pollutant and as chemotactically attracted to the pollutant are used to innoculate contaminated soil. To enhance the effect of the bacteria on the pollutant, nutrients are cyclicly provided to the bacteria then withheld to alternately build up the size of the bacterial colony or community and then allow it to degrade the pollutant.

  6. Degradation of Trichloroethylene Using Advanced Reduction Processes

    E-Print Network [OSTI]

    Farzaneh, Hajar

    2014-10-27T23:59:59.000Z

    , photolysis, and photocatalysis. According to their results, the 10 degradation rate decreased by increasing TCE initial concentration whereas, it was increased by increasing the amount of NZLc to a certain value and the rate did not increase further...

  7. Degradation of Structural Alloys Under Thermal Insulation 

    E-Print Network [OSTI]

    McIntyre, D. R.

    1984-01-01T23:59:59.000Z

    Wet thermal insulation may actively degrade steel and stainless steel structures by general corrosion or stress-corrosion cracking. Two different mechanisms of water ingress into insulation are discussed; flooding from external sources...

  8. Cyanide-degrading enzymes for bioremediation

    E-Print Network [OSTI]

    Basile, Lacy Jamel

    2008-10-10T23:59:59.000Z

    CYANIDE-DEGRADING ENZYMES FOR BIOREMEDIATION A Thesis by LACY JAMEL BASILE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... August 2008 Major Subject: Microbiology CYANIDE-DEGRADING ENZYMES FOR BIOREMEDIATION A Thesis by LACY JAMEL BASILE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements...

  9. Soil degradation, global warming and climate impacts

    E-Print Network [OSTI]

    Feddema, Johannes J.; Freire, Sergio Carneiro

    2001-01-01T23:59:59.000Z

    will demonstrate one methodology for assessing the potential large-scale impacts of soil degradation on African climates and water resources. In addition it will compare and contrast these impacts to those expected from global warming and compare impacts for differ...- ent watershed regions on the continent. 2. METHODS In order to make a similar comparison between pro- jected climate change scenarios due to global warming © Inter-Research 2001 *E-mail: feddema@ku.edu Soil degradation, global warming and climate...

  10. Spatial distribution of structural degradation under high-power stress in AlGaN/GaN high electron mobility transistors

    E-Print Network [OSTI]

    del Alamo, Jesús A.

    and high temperature, the latter being a result of de- vice self-heating. A complicating factor degradation of AlGaN/GaN high electron mobility transistors was investigated under high-power electrical electrical degradation that was mostly driven by an electric field across the AlGaN barrier. Under high

  11. Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker

    E-Print Network [OSTI]

    Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker Dept. of Statistics, degradation measures can be taken over time. A relationship between component failure and amount of degradation makes it possible to use degradation models and data to make inferences and predictions about

  12. Using Architectural Properties to Model and Measure Graceful Degradation

    E-Print Network [OSTI]

    Koopman, Philip

    Using Architectural Properties to Model and Measure Graceful Degradation Charles Shelton, Philip, USA {cshelton, koopman}@cmu.edu Abstract. System-wide graceful degradation may be a viable approach degradation we present a system model that will explicitly define graceful degradation as a system property

  13. Methods For Planning Accelerated Repeated Measures Degradation Tests

    E-Print Network [OSTI]

    Methods For Planning Accelerated Repeated Measures Degradation Tests Brian P. Weaver Statistical repeated measures degradation tests can sometimes be used to assess product or component reliability when-variable accelerated repeated measures degradation test plan when the (possibly transformed) degradation is linear

  14. TABLE53.CHP:Corel VENTURA

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV - DailyPercent 0 0 09.Table 53.

  15. TABLE54.CHP:Corel VENTURA

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV - DailyPercent 0 0 09.Table

  16. Federal Buildings Supplemental Survey -- Publication and Tables

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1. Refiner/Reseller2009 2010 2011Overview >

  17. FY 2009 Control Table by Appropriation

    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 33 1112011 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008 Current27Control Table

  18. Help:Tables | Open Energy Information

    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 being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarms AHefei Sungrow PowersourceSubObjects JumpTables

  19. Table of Contents for Desk Guide

    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,ZaleskiThis Decision considersTable 1: Points of Entry/Exit

  20. State Historical Tables for 2001 - 2003

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6: "Regulating3 Released:

  1. State Historical Tables for 2001 - 2004

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6: "Regulating3 Released:4

  2. Table 11. Net metering, 2010 through 2013

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:WelcomeArkansas":

  3. Table 11. Net metering, 2010 through 2013

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference

  4. Table 12. Advanced metering, 2007 through 2013

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled NameplateTotal

  5. Table 12. Advanced metering, 2007 through 2013

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled

  6. Table 13. Coal Production, Projected vs. Actual

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled: Associated-dissolved:

  7. Table 16. U.S. Coke Exports

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3.5.6.

  8. Table 18. U.S. Coal Imports

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.

  9. Table 20. Coal Imports by Customs District

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average

  10. Table 21. U.S. Coke Imports

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average1.

  11. Table 7. U.S. Coal Exports

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average1.2.7.

  12. Summary Statistics Table 1. Crude Oil Prices

    U.S. Energy Information Administration (EIA) 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21 Louisiana LouisianaCubicCubicYear Jan

  13. Tables, Graphs, and Problems | ornl.gov

    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. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D Alloys &8-5070P3. U.S.7.Tables, Graphs,

  14. Thermal degradation chemistry of poly[bis(phenoxy)phosphazene

    E-Print Network [OSTI]

    Maynard, Shawn Joseph

    1989-01-01T23:59:59.000Z

    the model compound studies and from the degradation of PBPP suggests that phenyl migration occurs at some stage during degradation. Some of these findings are in disagreement with previously reported studies. P solution-state and solid-state NMR... CONCLUSIONS REFERENCES Y ITA Dynamic degradation of PBPP samples ~othermal degradation of model compound samples. P Solution-State NMR characterization of PBPP samples. Isothermal degradation of PBPP samples Solution-State hydrolysis of PBPP samples...

  15. International energy indicators. [Statistical tables and graphs

    SciTech Connect (OSTI)

    Bauer, E.K. (ed.)

    1980-05-01T23:59:59.000Z

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  16. Analytical Improvements in PV Degradation Rate Determination

    SciTech Connect (OSTI)

    Jordan, D. C.; Kurtz, S. R.

    2011-02-01T23:59:59.000Z

    As photovoltaic (PV) penetration of the power grid increases, it becomes vital to know how decreased power output may affect cost over time. In order to predict power delivery, the decline or degradation rates must be determined accurately. For non-spectrally corrected data several complete seasonal cycles (typically 3-5 years) are required to obtain reasonably accurate degradation rates. In a rapidly evolving industry such a time span is often unacceptable and the need exists to determine degradation rates accurately in a shorter period of time. Occurrence of outliers and data shifts are two examples of analytical problems leading to greater uncertainty and therefore to longer observation times. In this paper we compare three methodologies of data analysis for robustness in the presence of outliers, data shifts and shorter measurement time periods.

  17. Final Report Inspection of Aged/Degraded Containments Program.

    SciTech Connect (OSTI)

    Naus, Dan J [ORNL; Ellingwood, B R [Georgia Institute of Technology; Oland, C Barry [ORNL

    2005-09-01T23:59:59.000Z

    The Inspection of Aged/Degraded Containments Program had primary objectives of (1) understanding the significant factors relating corrosion occurrence, efficacy of inspection, and structural capacity reduction of steel containments and liners of reinforced concrete containments; (2) providing the United States Nuclear Regulatory Commission (USNRC) reviewers a means of establishing current structural capacity margins or estimating future residual structural capacity margins for steel containments, and concrete containments as limited by liner integrity; (3) providing recommendations, as appropriate, on information to be requested of licensees for guidance that could be utilized by USNRC reviewers in assessing the seriousness of reported incidences of containment degradation; and (4) providing technical assistance to the USNRC (as requested) related to concrete technology. Primary program accomplishments have included development of a degradation assessment methodology; reviews of techniques and methods for inspection and repair of containment metallic pressure boundaries; evaluation of high-frequency acoustic imaging, magnetostrictive sensor, electromagnetic acoustic transducer, and multimode guided plate wave technologies for inspection of inaccessible regions of containment metallic pressure boundaries; development of a continuum damage mechanics-based approach for structural deterioration; establishment of a methodology for reliability-based condition assessments of steel containments and liners; and fragility assessments of steel containments with localized corrosion. In addition, data and information assembled under this program has been transferred to the technical community through review meetings and briefings, national and international conference participation, technical committee involvement, and publications of reports and journal articles. Appendix A provides a listing of program reports, papers, and publications; and Appendix B contains a listing of program-related presentations.

  18. Environmental regulatory update table, September--October 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental Regulatory Update Table, January--February 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental Regulatory Update Table, November--December 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1993-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly wit information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental Regulatory Update Table, January--February 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations ad contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, November--December 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental regulatory update table, July/August 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-09-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Environmental regulatory update table: September/October 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental regulatory update table, March--April 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E. [Oak Ridge National Lab., TN (United States). Health Sciences Research Div.; Salk, M.S. [Oak Ridge National Lab., TN (United States). Environmental Sciences Div.

    1994-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental Regulatory Update Table, May--June 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-07-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Environmental Regulatory Update Table, July--August 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-09-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental Regulatory Update Table, March/April 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-05-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental Regulatory Update Table, September/October 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operation and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental sciences division: Environmental regulatory update table July 1988

    SciTech Connect (OSTI)

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-08-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Understanding Degradation Pathways in Organic Photovoltaics (Poster)

    SciTech Connect (OSTI)

    Lloyd, M. T.; Olson, D. C.; Garcia, A.; Kauvar, I.; Kopidakis, N.; Reese, M. O.; Berry, J. J.; Ginley, D. S.

    2011-02-01T23:59:59.000Z

    Organic Photovoltaics (OPVs) recently attained power conversion efficiencies that are of interest for commercial production. Consequently, one of the most important unsolved issues facing a new industry is understanding what governs lifetime in organic devices and discovering solutions to mitigate degradation mechanisms. Historically, the active organic components are considered vulnerable to photo-oxidation and represent the primary degradation channel. However, we present several (shelf life and light soaking) studies pointing the relative stability of the active layers and instabilities in commonly used electrode materials. We show that engineering of the hole/electron layer at the electrode can lead to environmentally stable devices even without encapsulation.

  12. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    250 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  13. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  14. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    - - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy...

  15. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  16. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  17. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Petroleum Marketing Annual 1995 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  18. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  19. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  20. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  1. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  2. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    220 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  3. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Petroleum Marketing Annual 1998 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  4. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    - - - - W W - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  5. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  6. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Petroleum Marketing Annual 1999 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  7. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    - - - - 64.7 64.7 - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  8. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    - - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

  9. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  10. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  11. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  12. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  13. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1999 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  14. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  15. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  16. Table of contents 1 What is software architecture? ......................................................................... 1

    E-Print Network [OSTI]

    Dustdar, Schahram

    Table of contents 1 What is software architecture? ......................................................................... 1 1.1 Software architecture as abstraction ............................................................ 2 1.2 Software architecture as blueprint

  17. Figure 3-11 South Table Mountain Utilities Map

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

    Existing Buildings Electrical Figure 3-11 South Table Mountain Utilities Map Sewer Communication Water Surface Drainage Storm Water WATER TANK FACILITIES QUAKER STREET OLD QUA RRY...

  18. SuStainability table of contentS

    E-Print Network [OSTI]

    Karonis, Nicholas T.

    SuStainability table of contentS executive Summary-Related Sustainability Options ........................................... 41 Information Technology Infrastucture #12;sustainability 2 Private Giving

  19. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  20. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  1. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  2. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Marketing Annual 1999 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  3. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    See footnotes at end of table. 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State 386 Energy Information...

  4. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Marketing Annual 1995 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  5. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Marketing Annual 1998 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  6. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Marketing Annual 1998 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  7. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

    Gasoline and Diesel Fuel Update (EIA)

    Marketing Annual 1999 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  8. Table I: Technical Targets for Catalyst Coated Membranes (CCMs...

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

    I: Technical Targets for Catalyst Coated Membranes (CCMs): Automotive Table I: Technical Targets for Catalyst Coated Membranes (CCMs): Automotive Technical targets for fuel cell...

  9. FINITE ELEMENT ANALYSIS OF JNES/NUPEC SEISMIC SHEAR WALL CYCLIC AND SHAKING TABLE TEST DATA.

    SciTech Connect (OSTI)

    XU,J.; NIE, J.; HOFMAYER, C.; ALI, S.

    2007-04-12T23:59:59.000Z

    This paper describes a finite element analysis to predict the JNES/NUPEC cyclic and shaking table RC shear wall test data, as part of a collaborative agreement between the U.S. NRC and JNES to study seismic issues important to the safe operation of commercial nuclear power plant (NPP) structures, systems and components (SSC). The analyses described in this paper were performed using ANACAP reinforced concrete models. The paper describes the ANACAP analysis models and discusses the analysis comparisons with the test data. The ANACAP capability for modeling nonlinear cyclic characteristics of reinforced concrete shear wall structures was confirmed by the close comparisons between the ANACAP analysis results and the JNES/NUPEC cyclic test data. Reasonable agreement between the analysis results and the test data was demonstrated for the hysteresis loops and the shear force orbits, in terms of both the overall shape and the cycle-to-cycle comparisons. The ANACAP simulation analysis of the JNES/NUPEC shaking table test was also performed, which demonstrated that the ANACAP dynamic analysis with concrete material model is able to capture the progressive degrading behavior of the shear wall as indicated from the test data. The ANACAP analysis also predicted the incipient failure of the shear wall, reasonably close to the actual failure declared for the test specimen. In summary, the analyses of the JNES/NUPEC cyclic and shaking table RC shear wall tests presented in this paper have demonstrated the state-of-the-art analysis capability for determining the seismic capacity of RC shear wall structures.

  10. Perchlorate Degradation in Fixed Bed Bioreactors-1

    E-Print Network [OSTI]

    Perchlorate Degradation in Fixed Bed Bioreactors- 1 Bruce Logan (blogan@psu.edu) Department technologies · Emphasis here on AWWARF studies: ­ Bench scale bioreactors ­ Pilot scale studies in Redlands, CA bioreactor study-- Overview and introduction: Bruce Logan · 8:45 Review of perchlorate remediation

  11. Modeling Degradation in Solid Oxide Electrolysis Cells

    SciTech Connect (OSTI)

    Manohar S. Sohal; Anil V. Virkar; Sergey N. Rashkeev; Michael V. Glazoff

    2010-09-01T23:59:59.000Z

    Idaho National Laboratory has an ongoing project to generate hydrogen from steam using solid oxide electrolysis cells (SOECs). To accomplish this, technical and degradation issues associated with the SOECs will need to be addressed. This report covers various approaches being pursued to model degradation issues in SOECs. An electrochemical model for degradation of SOECs is presented. The model is based on concepts in local thermodynamic equilibrium in systems otherwise in global thermodynamic no equilibrium. It is shown that electronic conduction through the electrolyte, however small, must be taken into account for determining local oxygen chemical potential, , within the electrolyte. The within the electrolyte may lie out of bounds in relation to values at the electrodes in the electrolyzer mode. Under certain conditions, high pressures can develop in the electrolyte just near the oxygen electrode/electrolyte interface, leading to oxygen electrode delamination. These predictions are in accordance with the reported literature on the subject. Development of high pressures may be avoided by introducing some electronic conduction in the electrolyte. By combining equilibrium thermodynamics, no equilibrium (diffusion) modeling, and first-principles, atomic scale calculations were performed to understand the degradation mechanisms and provide practical recommendations on how to inhibit and/or completely mitigate them.

  12. Simultaneous Degradation of Organophosphorus Pesticides and

    E-Print Network [OSTI]

    Chen, Wilfred

    of the most widely used classes of pesticide in industrialized countries. In the United States, over 40 Moraxella sp. degraded organophosphates as well as PNP rapidly, all within 10 h. The initial hydrolysis rate responses, leading to the pos- sibility of death. Repeated or prolonged exposure can cause delayed

  13. Degradation of entanglement in moving frames

    E-Print Network [OSTI]

    Shahpoor Moradi

    2012-01-02T23:59:59.000Z

    The distillability of bipartite entangled state as seen by moving observers has been investigated. It is found that the same initial entanglement for a state parameter $\\alpha$ and its "normalized partner" $\\sqrt{1-\\alpha^2}$ will be degraded as seen by moving observer. It is shown that in the ultra relativistic limit, the state does not have distillable entanglement for any $\\alpha$.

  14. Method of restoring degraded solar cells

    DOE Patents [OSTI]

    Staebler, D.L.

    1983-02-01T23:59:59.000Z

    Amorphous silicon solar cells have been shown to have efficiencies which degrade as a result of long exposure to light. Annealing such cells in air at a temperature of about 200 C for at least 30 minutes restores their efficiency. 2 figs.

  15. Method of restoring degraded solar cells

    DOE Patents [OSTI]

    Staebler, David L. (Lawrenceville, NJ)

    1983-01-01T23:59:59.000Z

    Amorphous silicon solar cells have been shown to have efficiencies which degrade as a result of long exposure to light. Annealing such cells in air at a temperature of about 200.degree. C. for at least 30 minutes restores their efficiency.

  16. Chemotactic selection of pollutant degrading soil bacteria

    DOE Patents [OSTI]

    Hazen, Terry C. (Augusta, GA)

    1994-01-01T23:59:59.000Z

    A method for identifying soil microbial strains which may be bacterial degraders of pollutants comprising the steps of placing a concentration of a pollutant in a substantially closed container, placing the container in a sample of soil for a period of time ranging from one minute to several hours, retrieving the container, collecting the contents of the container, and microscopically determining the identity of the bacteria present. Different concentrations of the pollutant can be used to determine which bacteria respond to each concentration. The method can be used for characterizing a polluted site or for looking for naturally occurring biological degraders of the pollutant. Then bacteria identified as degraders of the pollutant and as chemotactically attracted to the pollutant are used to inoculate contaminated soil. To enhance the effect of the bacteria on the pollutant, nutrients are cyclicly provided to the bacteria then withheld to alternately build up the size of the bacterial colony or community and then allow it to degrade the pollutant.

  17. Original article Variation in protein degradability

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    represented by 1 to 16 cultivars, were studied: lucerne (Medicago sativa), white clover (Trifolium repens cultivars of lucerne harvested in the autumn of 1998 were incubated in nylon bags in 3 fistulated cows degradation. In a second experiment, lucerne (5), birdsfoot trefoil (5), white clover (4) and crownvetch (1

  18. A reconstruction of the tables of the Shuli Jingyun

    E-Print Network [OSTI]

    Boyer, Edmond

    ­1722) and covering almost all mathematical knowledge known in China at that time. It was part of a larger collection movable copper type [23, p. 76], but the tables were certainly printed with xylography.2 The Shuli Jingyun was imported in other countries, such as 1 We have consulted the original tables at the Institut des Hautes

  19. Characterization of Methane Degradation and Methane-Degrading Microbes in Alaska Coastal Water

    SciTech Connect (OSTI)

    David Kirchman

    2011-12-31T23:59:59.000Z

    The net flux of methane from methane hydrates and other sources to the atmosphere depends on methane degradation as well as methane production and release from geological sources. The goal of this project was to examine methane-degrading archaea and organic carbon oxidizing bacteria in methane-rich and methane-poor sediments of the Beaufort Sea, Alaska. The Beaufort Sea system was sampled as part of a multi-disciplinary expedition (â??Methane in the Arctic Shelfâ?ť or MIDAS) in September 2009. Microbial communities were examined by quantitative PCR analyses of 16S rRNA genes and key methane degradation genes (pmoA and mcrA involved in aerobic and anaerobic methane degradation, respectively), tag pyrosequencing of 16S rRNA genes to determine the taxonomic make up of microbes in these sediments, and sequencing of all microbial genes (â??metagenomesâ?ť). The taxonomic and functional make-up of the microbial communities varied with methane concentrations, with some data suggesting higher abundances of potential methane-oxidizing archaea in methane-rich sediments. Sequence analysis of PCR amplicons revealed that most of the mcrA genes were from the ANME-2 group of methane oxidizers. According to metagenomic data, genes involved in methane degradation and other degradation pathways changed with sediment depth along with sulfate and methane concentrations. Most importantly, sulfate reduction genes decreased with depth while the anaerobic methane degradation gene (mcrA) increased along with methane concentrations. The number of potential methane degradation genes (mcrA) was low and inconsistent with other data indicating the large impact of methane on these sediments. The data can be reconciled if a small number of potential methane-oxidizing archaea mediates a large flux of carbon in these sediments. Our study is the first to report metagenomic data from sediments dominated by ANME-2 archaea and is one of the few to examine the entire microbial assemblage potentially involved in anaerobic methane oxidation.

  20. Degradative capacities and bioaugmentation potential of an anaerobic benzene-degrading bacterium strain DN11

    SciTech Connect (OSTI)

    Yuki Kasai; Yumiko Kodama; Yoh Takahata; Toshihiro Hoaki; Kazuya Watanabe [Marine Biotechnology Institute, Kamaishi (Japan)

    2007-09-15T23:59:59.000Z

    Azoarcus sp. strain DN11 is a denitrifying bacterium capable of benzene degradation under anaerobic conditions. The present study evaluated strain DN11 for its application to bioaugmentation of benzene-contaminated underground aquifers. Strain DN11 could grow on benzene, toluene, m-xylene, and benzoate as the sole carbon and energy sources under nitrate-reducing conditions, although o- and p-xylenes were transformed in the presence of toluene. Phenol was not utilized under anaerobic conditions. Kinetic analysis of anaerobic benzene degradation estimated its apparent affinity and inhibition constants to be 0.82 and 11 {mu}M, respectively. Benzene-contaminated groundwater taken from a former coal-distillation plant site in Aichi, Japan was anaerobically incubated in laboratory bottles and supplemented with either inorganic nutrients (nitrogen, phosphorus, and nitrate) alone, or the nutrients plus strain DN11, showing that benzene was significantly degraded only when DN11 was introduced. Denaturing gradient gel electrophoresis of PCR-amplified 16S rRNA gene fragments, and quantitative PCR revealed that DN11 decreased after benzene was degraded. Following the decrease in DN11 16S rRNA gene fragments corresponding to bacteria related to Owenweeksia hongkongensis and Pelotomaculum isophthalicum, appeared as strong bands, suggesting possible metabolic interactions in anaerobic benzene degradation. Results suggest that DN11 is potentially useful for degrading benzene that contaminates underground aquifers at relatively low concentrations. 50 refs., 6 figs., 1 tab.

  1. A Damage Model for Degradation in the Electrodes of solid oxide fuel cells: Modeling the effects of sulfur and antimony in the anode

    SciTech Connect (OSTI)

    Ryan, Emily M.; Xu, Wei; Sun, Xin; Khaleel, Mohammad A.

    2012-07-15T23:59:59.000Z

    Over their designed lifetime, high temperature electrochemical devices, such as solid oxide fuel cells (SOFCs), can experience degradation in their electrochemical performance due to environmental conditions, operating conditions, contaminants, and other factors. Understanding the different degradation mechanisms in SOFCs and other electrochemical devices is essential to reducing performance degradation and increasing the lifetime of these devices. In this paper SOFC degradation mechanisms are discussed and a damage model is presented which describes performance degradation in SOFCs due to damage or degradation in the electrodes of the SOFC. A degradation classification scheme is presented that divides the various SOFC electrode degradation mechanisms into categories based on their physical effects on the SOFC. The application of the damage model and the classification method is applied to sulfur poisoning and antimony poisoning which occur in the anode of SOFCs. For sulfur poisoning the model is able to predict the degradation in SOFC performance based on the operating temperature and voltage of the fuel cell and the concentration of gaseous sulfur species in the anode. For antimony poisoning the effects of nickel removal from the anode matrix is investigated.

  2. Multiple Syntrophic Interactions in a Terephthalate-Degrading Methanogenic Consortium

    E-Print Network [OSTI]

    Lykidis, Athanasios

    2012-01-01T23:59:59.000Z

    of the TA-degrading bioreactor as revealed by 16S rRNA clonethermophilic), TA-degrading bioreactor. We identified geneslaboratory-scale hybrid bioreactor (Fig. 1a) as described

  3. Temperature dependence of ssrA-tag mediated protein degradation

    E-Print Network [OSTI]

    Purcell, Oliver

    Building synthetic gene networks with highly transient dynamics requires rapid protein degradation. We show that the degradation conferred by two commonly used ssrA tags is highly temperature dependent. Synthetic gene ...

  4. BIRC6 promotes hepatocellular carcinogenesis: Interaction of BIRC6 with p53 facilitating p53 degradation

    E-Print Network [OSTI]

    2015-01-01T23:59:59.000Z

    that BIRC6 could regulate the degradation of p53 rather thanp53 and facilitated its degradation by ubiquitination incantly promoted the degradation of p53 by ubiquitination (

  5. THERMAL DEGRADATION OF A BLACK CHROME SOLAR SELECTIVE ABSORBER COATING: SHORT TERM

    E-Print Network [OSTI]

    Lampert, Carl M.

    2011-01-01T23:59:59.000Z

    black show appreciable degradation ically or mechanically upGA, May ety THERMAL DEGRADATION A BLACK CHROME SOLARis ion, Ext. 781 THERMAL DEGRADATION OF A BLACK CHROME SOLAR

  6. Studies of Local Degradation Phenomena in Composite Cathodes for Lithium-Ion Batteries

    E-Print Network [OSTI]

    Kerlau, M.; Marcinek, M.; Srinivasan, V.; Kostecki, R.M.

    2008-01-01T23:59:59.000Z

    was attributed to the degradation of the electronicallyelectrode and cell degradation. The extraordinary potentialat 45 o C showed a gradual degradation during cycling. Post-

  7. Secondary Pollutants from Ozone Reaction with Ventilation Filters and Degradation of Filter Media Additives

    E-Print Network [OSTI]

    Destaillats, Hugo

    2012-01-01T23:59:59.000Z

    and degradation of filter media additives H. Destaillats, W.and Degradation of Filter Media Additives Hugo Destaillatsand degradation of filter media additives Hugo Destaillats

  8. Degradation versus self-assembly of block copolymer micelles

    E-Print Network [OSTI]

    Alexander Muratov; Vladimir A. Baulin

    2012-02-10T23:59:59.000Z

    The stability of micelles self-assembled from block copolymers can be altered by the degradation of the blocks. Slow degradation shifts the equilibrium size distribution of block copolymer micelles and change their properties. Quasi-equilibrium scaling theory shows that the degradation of hydrophobic blocks in the core of micelles destabilize the micelles reducing their size, while the degradation of hydrophilic blocks forming coronas of micelles favors larger micelles and may, at certain conditions, induce the formation of micelles from individual chains.

  9. Degradation of organic chemicals with titanium ceramic membranes

    DOE Patents [OSTI]

    Anderson, Marc A. (Madison, WI); Tunesi, Simonetta (Madison, WI); Xu, Qunyin (Madison, WI)

    1991-01-01T23:59:59.000Z

    Complex organic molecules, such as polychlorinated biphenyls can be degraded on porous titanium ceramic membranes by photocatalysis under ultraviolet light.

  10. Formation of mushrooms and lignocellulose degradation encoded in the genome sequence of Schizophyllum commune

    SciTech Connect (OSTI)

    Ohm, Robin A.; de Jong, Jan F.; Lugones, Luis G.; Aerts, Andrea; Kothe, Erika; Stajich, Jason E.; de Vries, Ronald P.; Record, Eric; Levasseur, Anthony; Baker, Scott E.; Bartholomew, Kirk A.; Coutinho, Pedro M.; Erdmann, Susann; Fowler, Thomas J.; Gathman, Allen C.; Lombard, Vincent; Henrissat, Bernard; Knabe, Nicole; Kues, Ursula; Lilly, Walt W.; Lindquist, Erika; Lucas, Susan; Magnuson, Jon K.; Piumi, Francois; Raudaskoski, Marjatta; Salamov, Asaf; Schmutz, Jeremy; Schwarze, Francis W.M.R.; van Kuyk, Patricia A.; Horton, J. Stephen; Grigoriev, Igor V.; Wosten, Han A.B.

    2010-07-12T23:59:59.000Z

    The wood degrading fungus Schizophyllum commune is a model system for mushroom development. Here, we describe the 38.5 Mb assembled genome of this basidiomycete and application of whole genome expression analysis to study the 13,210 predicted genes. Comparative analyses of the S. commune genome revealed unique wood degrading machinery and mating type loci with the highest number of reported genes. Gene expression analyses revealed that one third of the 471 identified transcription factor genes were differentially expressed during sexual development. Two of these transcription factor genes were deleted. Inactivation of fst4 resulted in the inability to form mushrooms, whereas inactivation of fst3 resulted in more but smaller mushrooms than wild-type. These data illustrate that mechanisms underlying mushroom formation can be dissected using S. commune as a model. This will impact commercial production of mushrooms and the industrial use of these fruiting bodies to produce enzymes and pharmaceuticals.

  11. Table-top Extreme Ultraviolet Laser Aerial Imaging of Lithographic Masks

    E-Print Network [OSTI]

    Brizuela, F.

    2012-01-01T23:59:59.000Z

    Table-top Extreme Ultraviolet Laser Aerial Imaging ofmasks realized using a table-top aerial imaging systembased on a table-top X=\\3.2 laser. © 2 0 0 9 Optical Society

  12. FUNCTIONAL DEGRADATION OF EXTRASTRIATE VISUAL CORTEX IN SENESCENT RHESUS MONKEYS

    E-Print Network [OSTI]

    Zhou, Yi-Feng

    FUNCTIONAL DEGRADATION OF EXTRASTRIATE VISUAL CORTEX IN SENESCENT RHESUS MONKEYS S. YU,a Y. WANG--The receptive field properties of striate cortical (V1) cells degrade in senescent macaque monkeys. We have now that both the orientation and direction selectivities of V2 cells in old monkeys degrade significantly

  13. SCIAMACHY'S ABSORBING AEROSOL INDEX AND THE CONSEQUENCES OF INSTRUMENT DEGRADATION

    E-Print Network [OSTI]

    Tilstra, Gijsbert

    SCIAMACHY'S ABSORBING AEROSOL INDEX AND THE CONSEQUENCES OF INSTRUMENT DEGRADATION L. G. Tilstra1 a strong increase in the AAI with time, which is found to be caused completely by degradation of the optics. This we conclude from straightforward calculation of the effect of instrument degradation based

  14. Estimation of Degradation-Based Reliability in Outdoor Environments

    E-Print Network [OSTI]

    Estimation of Degradation-Based Reliability in Outdoor Environments Victor Chan and William Q degradation of materials or products that are exposed to the outdoor environment. There is a growing need to obtain timely predictions of such degradation behaviors on the basis of accelerated laboratory tests

  15. "Reliability Inference Based on Multistate and Degradation Models"

    E-Print Network [OSTI]

    Arnold, Jonathan

    "Reliability Inference Based on Multistate and Degradation Models" Vijay Nair Department of extensive covariate information, and the use of multistate and degradation data when available. This talk common models for analyzing degradation data and then describe a class of models based on non

  16. Exosome-Mediated Recognition and Degradation of mRNAs

    E-Print Network [OSTI]

    van Hoof, Ambro

    Exosome-Mediated Recognition and Degradation of mRNAs Lacking a Termination Codon Ambro van Hoof,1,2 * Pamela A. Frischmeyer,1,3 Harry C. Dietz,1,3 Roy Parker1,2 * One role of messenger RNA (mRNA) degradation is to maintain the fidelity of gene expression by degrading aberrant transcripts. Recent results show that m

  17. Shear-Induced Degradation of Linear Polyacrylamide Solutions during

    E-Print Network [OSTI]

    Shear-Induced Degradation of Linear Polyacrylamide Solutions during Pre-Electrophoretic Loading to minimize shear-induced degradation of the polymer molecules. Currently, the community lacks quan- titative data with which to gauge the range of flow rates that prevent polymer degradation. In this study

  18. Block Bootstrap Estimation of the Distribution of Cumulative Outdoor Degradation

    E-Print Network [OSTI]

    Block Bootstrap Estimation of the Distribution of Cumulative Outdoor Degradation Victor Chan University Ames, IA 50011 October 28, 2003 Abstract An interesting prediction problem involving degradation cumulative degrada- tion using small- to moderate-size degradation data sets. This distribution, which

  19. Cometabolic Degradation of TCE Vapors in a Foamed Emulsion

    E-Print Network [OSTI]

    Cometabolic Degradation of TCE Vapors in a Foamed Emulsion Bioreactor E U N S U N G K A N A N D M the experiments, 85-101% of the degraded TCE chlorine was recovered as chloride. Overall, the results suggest to complete degradation of TCE to harmless end products. Unfortunately, no microorganism can grow on TCE

  20. Degradation of ornithine decarboxylase in Saccharomyces cerevisiae is ubiquitin independentq

    E-Print Network [OSTI]

    Kahana, Chaim

    Degradation of ornithine decarboxylase in Saccharomyces cerevisiae is ubiquitin independentq Shilpa in the polyamine biosynthesis is one of the most rapidly degraded proteins in eukaryotic cells. Mammalian ODC a protein to degradation by the 26S proteasome. However, while it is well established that in mammalian

  1. Parkin Binds to / Tubulin and Increases their Ubiquitination and Degradation

    E-Print Network [OSTI]

    Feng, Jian

    Parkin Binds to / Tubulin and Increases their Ubiquitination and Degradation Yong Ren, Jinghui Zhao depolymerize microtubules and increase tubulin degradation. Microtu- bules are polymers of tubulin. Misfolded tubulin monomers are highly toxic and quickly degraded through a hitherto unknown mechanism. Here

  2. Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker

    E-Print Network [OSTI]

    Accelerated Degradation Tests: Modeling and Analysis William Q. Meeker Dept. of Statistics reliability with traditional life tests that record only failure times. For some components, degradation measures can be taken over time. A relationship between component failure and amount of degradation makes

  3. Novel failure prognostics approach with dynamic thresholds for machine degradation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Novel failure prognostics approach with dynamic thresholds for machine degradation Kamran Javed-processing and prognostics modeling. To estimate RUL of a degrading machinery, prognostics modeling phase requires precise knowledge about failure thresh- old (FT) (or failure definition). Practically, degrading machinery can have

  4. Influence of maize genotype on rate of ruminal starch degradation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Influence of maize genotype on rate of ruminal starch degradation B Michalet-Doreau1 M Champion2). These varying degradation rates in the rumen can be attributed not only to the chemical nature of the starch influence ruminal starch degradation. The trial was performed on two maize cultivars characterised

  5. Original article In situ and in vitro ruminal starch degradation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Original article In situ and in vitro ruminal starch degradation of untreated and formaldehyde (Received 28 August 1996; accepted 27 March 1997) Summary ― Ruminal starch degradation of untreated degradability was higher for wheat than for maize (82.1vs 52.3%), for untreated cereals than for cereals treated

  6. Water and UV degradable lactic acid polymers

    DOE Patents [OSTI]

    Bonsignore, P.V.; Coleman, R.D.

    1996-10-08T23:59:59.000Z

    A water and UV light degradable copolymer is described made from monomers of lactic acid and a modifying monomer selected from the class consisting of ethylene glycol, propylene glycol, P-dioxanone, 1,5 dioxepan-2-one, 1,4-oxathialan-2-one, 1,4-dioxide and mixtures thereof. These copolymers are useful for waste disposal and agricultural purposes. Also disclosed is a water degradable blend of polylactic acid or modified polylactic acid and high molecular weight polyethylene oxide wherein the high molecular weight polyethylene oxide is present in the range of from about 2 by weight to about 50% by weight, suitable for films. A method of applying an active material selected from the class of seeds, seedlings, pesticides, herbicides, fertilizers and mixtures thereof to an agricultural site is also disclosed.

  7. Water and UV degradable lactic acid polymers

    DOE Patents [OSTI]

    Bonsignore, Patrick V. (Joliet, IL); Coleman, Robert D. (Wheaton, IL)

    1996-01-01T23:59:59.000Z

    A water and UV light degradable copolymer of monomers of lactic acid and a modifying monomer selected from the class consisting of ethylene glycol, propylene glycol, P-dioxanone, 1,5 dioxepan-2-one, 1,4-oxathialan-2-one, 1,4-dioxide and mixtures thereof. These copolymers are useful for waste disposal and agricultural purposes. Also disclosed is a water degradable blend of polylactic acid or modified polylactic acid and high molecular weight polyethylene oxide wherein the high molecular weight polyethylene oxide is present in the range of from about 2 by weight to about 50% by weight, suitable for films. A method of applying an active material selected from the class of seeds, seedlings, pesticides, herbicides, fertilizers and mixtures thereof to an agricultural site is also disclosed.

  8. Water and UV degradable lactic acid polymers

    DOE Patents [OSTI]

    Bonsignore, Patrick V. (Joliet, IL); Coleman, Robert D. (Wheaton, IL)

    1994-01-01T23:59:59.000Z

    A water and UV light degradable copolymer of monomers of lactic acid and a modifying monomer selected from the class consisting of ethylene and polyethylene glycols, propylene and polypropylene glycols, P-dioxanone, 1,5 dioxepan-2-one, 1,4 -oxathialan-2-one, 1,4-dioxide and mixtures thereof. These copolymers are useful for waste disposal and agricultural purposes. Also disclosed is a water degradable blend of polylactic acid or modified polylactic acid and high molecular weight polyethylene oxide wherein the high molecular weight polyethylene oxide is present in the range of from about 2% by weight to about 50% by weight, suitable for films. A method of applying an active material selected from the class of seeds, seedlings, pesticides, herbicides, fertilizers and mixtures thereof to an agricultural site is also disclosed.

  9. Elastomer degradation sensor using a piezoelectric material

    DOE Patents [OSTI]

    Olness, Dolores U. (Livermore, CA); Hirschfeld, deceased, Tomas B. (late of Livermore, CA)

    1990-01-01T23:59:59.000Z

    A method and apparatus for monitoring the degradation of elastomeric materials is provided. Piezoelectric oscillators are placed in contact with the elastomeric material so that a forced harmonic oscillator with damping is formed. The piezoelectric material is connected to an oscillator circuit,. A parameter such as the resonant frequency, amplitude or Q value of the oscillating system is related to the elasticity of the elastomeric material. Degradation of the elastomeric material causes changes in its elasticity which, in turn, causes the resonant frequency, amplitude or Q of the oscillator to change. These changes are monitored with a peak height monitor, frequency counter, Q-meter, spectrum analyzer, or other measurement circuit. Elasticity of elastomers can be monitored in situ, using miniaturized sensors.

  10. Water and UV degradable lactic acid polymers

    DOE Patents [OSTI]

    Bonsignore, P.V.; Coleman, R.D.

    1994-11-01T23:59:59.000Z

    A water and UV light degradable copolymer of monomers of lactic acid and a modifying monomer were selected from the class consisting of ethylene and polyethylene glycols, propylene and polypropylene glycols, P-dioxanone, 1,5 dioxepan-2-one, 1,4 -oxathialan-2-one, 1,4-dioxide and mixtures. These copolymers are useful for waste disposal and agricultural purposes. Also disclosed is a water degradable blend of polylactic acid or modified polylactic acid and high molecular weight polyethylene oxide where the high molecular weight polyethylene oxide is present in the range of from about 2% by weight to about 50% by weight, suitable for films. A method of applying an active material selected from the class of seeds, seedlings, pesticides, herbicides, fertilizers and mixtures to an agricultural site is also disclosed.

  11. Water and UV degradable lactic acid polymers

    SciTech Connect (OSTI)

    Bonsignore, P.V.; Coleman, R.D.

    1990-06-26T23:59:59.000Z

    A water and UV light degradable copolymer of monomers of lactic acid and a modifying monomer selected from the class consisting of ethylene and polyethylane glycols (PVB 6/22/90), propylene and and polypropylene (PVB 6/22/90) glycols, P-dioxanone, 1, 5 dioxepan-2-one, 1,4 -oxathialan-2-one, 1,4-dioxide and mixtures thereof. These copolymers are useful for waste disposal and agricultural purposes. Also disclosed is a water degradable blend of polylactic acid or modified polylactic acid and high molecular weight polyethylene oxide wherein the high molecular weight polyethylene oxide is present in the range of from about 2% by weight to about 50% by weight, suitable for films. A method of applying an active material selected from the class of seeds, seedlings, pesticides, herbicides, fertilizers and mixtures thereof to an agricultural site is also disclosed.

  12. Degradation of Materials in Combustion Environments 

    E-Print Network [OSTI]

    Robbins, J. M.; Federer, J. I.; Parks, W. P. Jr.; Reid, J. S.

    1986-01-01T23:59:59.000Z

    and oxide structural ceramics materials. involved formation of new liquid,glass, and solid phases. which resulted in loss of structural This paper briefly reviews the contents of 23 integrity. Destructi ve stresses a!iSOc i ated wi th ORNL reports... furnaces are During the past decade workers at Oak Ridge being used to study the effects of specific chemical National Laboratory (ORNL) and elsewhere have species on metallic and ceramic materials. Tests investigated the degradation of refractory...

  13. Stationary table CT dosimetry and anomalous scanner-reported values of CTDI{sub vol}

    SciTech Connect (OSTI)

    Dixon, Robert L., E-mail: rdixon@wfubmc.edu [Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157 (United States); Boone, John M. [Departments of Radiology and Biomedical Engineering, University of California Davis, Sacramento, California 95817 (United States)] [Departments of Radiology and Biomedical Engineering, University of California Davis, Sacramento, California 95817 (United States)

    2014-01-15T23:59:59.000Z

    Purpose: Anomalous, scanner-reported values of CTDI{sub vol} for stationary phantom/table protocols (having elevated values of CTDI{sub vol} over 300% higher than the actual dose to the phantom) have been observed; which are well-beyond the typical accuracy expected of CTDI{sub vol} as a phantom dose. Recognition of these outliers as “bad data” is important to users of CT dose index tracking systems (e.g., ACR DIR), and a method for recognition and correction is provided. Methods: Rigorous methods and equations are presented which describe the dose distributions for stationary-table CT. A comparison with formulae for scanner-reported values of CTDI{sub vol} clearly identifies the source of these anomalies. Results: For the stationary table, use of the CTDI{sub 100} formula (applicable to a moving phantom only) overestimates the dose due to extra scatter and also includes an overbeaming correction, both of which are nonexistent when the phantom (or patient) is held stationary. The reported DLP remains robust for the stationary phantom. Conclusions: The CTDI-paradigm does not apply in the case of a stationary phantom and simpler nonintegral equations suffice. A method of correction of the currently reported CTDI{sub vol} using the approach-to-equilibrium formula H(a) and an overbeaming correction factor serves to scale the reported CTDI{sub vol} values to more accurate levels for stationary-table CT, as well as serving as an indicator in the detection of “bad data.”.

  14. New probability table treatment in MCNP for unresolved resonances

    SciTech Connect (OSTI)

    Carter, L.L. [Carter M.C. Analysis, Richland, WA (United States); Little, R.C.; Hendricks, J.S.; MacFarlane, R.E. [Los Alamos National Lab., NM (United States)

    1998-04-01T23:59:59.000Z

    An upgrade for MCNP has been implemented to sample the neutron cross sections in the unresolved resonance range using probability tables. These probability tables are generated with the cross section processor code NJOY, by using the evaluated statistical information about the resonances to calculate cumulative probability distribution functions for the microscopic total cross section. The elastic, fission, and radiative capture cross sections are also tabulated as the average values of each of these partials conditional upon the value of the total. This paper summarizes how the probability tables are utilized in this MCNP upgrade and compares this treatment with the approximate smooth treatment for some example problems.

  15. Composite slip table of dissimilar materials for damping longitudinal modes

    DOE Patents [OSTI]

    Gregory, D.L.; Priddy, T.G.; Smallwood, D.O.; Woodall, T.D.

    1991-06-18T23:59:59.000Z

    A vibration slip table for use in a vibration testing apparatus is disclosed. The tables comprised of at least three composite layers of material; a first metal layer, a second damping layer, and a third layer having a high acoustic velocity relative to the first layer. The different acoustic velocities between the first and third layers cause relative shear displacements between the layers with the second layer damping the displacements between the first and third layers to reduce the table longitudinal vibration modes. 6 figures.

  16. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  17. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  18. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  19. THERMODYNAMIC TABLES FOR NUCLEAR WASTE ISOLATION, V.1: AQUEOUS SOLUTIONS DATABASE

    E-Print Network [OSTI]

    Phillips, S.L.; Hale, F.V.; Silvester, L.F.

    2008-01-01T23:59:59.000Z

    National Laboratory Nuclear Waste Nanagement Division Upton,~ermodynamic Tables for Nuclear Waste Isolation Vol. I. Aq~Thermodynamic Tables for Nuclear Waste Isolation. Vol 1.

  20. EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested...

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

    EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested changes EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested changes Suggested changes to the...

  1. RSE Table 1.1 Relative Standard Errors for Table 1.1

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:

  2. RSE Table 1.2 Relative Standard Errors for Table 1.2

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2

  3. RSE Table 10.10 Relative Standard Errors for Table 10.10

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20

  4. RSE Table 10.11 Relative Standard Errors for Table 10.11

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:201

  5. RSE Table 10.12 Relative Standard Errors for Table 10.12

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2012

  6. RSE Table 10.13 Relative Standard Errors for Table 10.13

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20123

  7. RSE Table 2.1 Relative Standard Errors for Table 2.1

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "

  8. RSE Table 3.1 Relative Standard Errors for Table 3.1

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative

  9. RSE Table 3.2 Relative Standard Errors for Table 3.2

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative2

  10. RSE Table 3.5 Relative Standard Errors for Table 3.5

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative25

  11. RSE Table 4.1 Relative Standard Errors for Table 4.1

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1

  12. RSE Table 4.2 Relative Standard Errors for Table 4.2

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative

  13. RSE Table 5.1 Relative Standard Errors for Table 5.1

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative1

  14. RSE Table 5.2 Relative Standard Errors for Table 5.2

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12

  15. RSE Table 5.4 Relative Standard Errors for Table 5.4

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124 Relative

  16. RSE Table 5.5 Relative Standard Errors for Table 5.5

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124

  17. RSE Table 5.6 Relative Standard Errors for Table 5.6

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246

  18. RSE Table 5.7 Relative Standard Errors for Table 5.7

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467

  19. RSE Table 5.8 Relative Standard Errors for Table 5.8

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678

  20. RSE Table 7.10 Relative Standard Errors for Table 7.10

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780

  1. RSE Table 7.3 Relative Standard Errors for Table 7.3

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803

  2. RSE Table 7.4 Relative Standard Errors for Table 7.4

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034

  3. RSE Table 7.5 Relative Standard Errors for Table 7.5

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780345

  4. RSE Table 7.6 Relative Standard Errors for Table 7.6

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803456

  5. RSE Table 7.7 Relative Standard Errors for Table 7.7

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034567

  6. RSE Table 7.9 Relative Standard Errors for Table 7.9

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"

  7. RSE Table 8.2 Relative Standard Errors for Table 8.2

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 Relative Standard

  8. Table B1. Summary Table: Totals and Means of Floorspace, Number of Workers, and

    U.S. Energy Information Administration (EIA) 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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2". Summary Table:

  9. Accelerated Aging Effects on Kevlar KM2 Fiber Survivability

    E-Print Network [OSTI]

    Yang, Tony

    2013-04-12T23:59:59.000Z

    as an alternative test method to the pneumatic grip setup. ........................................ 87 ix LIST OF TABLES Page Table 1. DuPont?s Kevlar fiber grades and their tensile material properties ranked by ascending tensile modulus.... ................................................................................. 5 Table 2. Kevlar KM2 properties given by DuPont. ........................................................... 6 Table 3. Fiber rapid degradation Design of Experiment factors and levels. .................... 36 Table 4. Recorded experimentally...

  10. TABLE OF CONTENTS Message from the Chancellor 3

    E-Print Network [OSTI]

    Wang, Yuqing

    0 #12;1 TABLE OF CONTENTS Message from the Chancellor 3 Message from the Assistant Vice Chancellor 59 #12;3 MESSAGE FROM THE CHANCELLOR Aloha Kkou, As we head into the 2013-2014 academic year

  11. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  12. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 466.1 466.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  13. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  14. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  15. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  16. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 532.1 532.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  17. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 75 RARAF - Table of Contents RARAF Professional FOR RADIOLOGICAL RESEARCH · ANNUAL REPORT 2005 76 The Radiological Research Accelerator Facility AN NIH .................................................................................................................................................72 Development of Facilities

  18. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 113 RARAF - Table of Contents RARAF Professional · ANNUAL REPORT 2007 114 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE CENTER................................................................................................................................................114 Development of Facilities

  19. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF Table of Contents RARAF Professional Staff RESEARCH ANNUAL REPORT 2009 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE................................................................................................................................................101 Development of Facilities

  20. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 118 RARAF Table of Contents RARAF Professional ANNUAL REPORT 2008 119 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE CENTER................................................................................................................................................119 Development of Facilities

  1. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 117 RARAF - Table of Contents RARAF Professional RESEARCH · ANNUAL REPORT 2010 118 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE................................................................................................................................................117 Development of Facilities

  2. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 65 RARAF - Table of Contents RARAF Professional FOR RADIOLOGICAL RESEARCH · ANNUAL REPORT 2006 66 The Radiological Research Accelerator Facility AN NIH..................................................................................................................................................66 Development of facilities

  3. Explanation of Tables Handed out at September 2.PDF

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

    Informal Meeting - Explanation of columns from the left of the table. Gross Gen from Hydro LP - This column contains the raw generation output from the Hydro LP model, for all...

  4. Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables

    Broader source: Energy.gov [DOE]

    Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

  5. DOE Zero Energy Ready Home Second Production Builder Round Table

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

    Second Production Builder Round Table January 2015 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United...

  6. Table 21. Domestic Crude Oil First Purchase Prices

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

    19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  7. Building an electronic drafting table for sketch recognition

    E-Print Network [OSTI]

    Bruening, Oskar Ernst, 1979-

    2004-01-01T23:59:59.000Z

    Sketch recognition as developed by the CSAIL Design Rationale Group allows a designer to sketch out and test design ideas without the need for complicated CAD programs. An electronic drafting table is required to capture ...

  8. Tracking Grantee Portal Standards and Recommendations Standards and Recommendations Table

    E-Print Network [OSTI]

    Tracking Grantee Portal Standards and Recommendations April 2009 Standards and Recommendations Table Tracking Network Standards Provide both public and secure grantee portals. Provide a link on a grantee's portal. Organize contents of pages to facilitate the identification of detailed information

  9. Table 26. Natural gas home customer-weighted heating degree...

    Gasoline and Diesel Fuel Update (EIA)

    92 Created on: 3262015 1:21:33 PM Table 26. Natural gas home customer-weighted heating degree days New England Middle Atlantic East North Central West North Central South...

  10. Description of 2003 CBECS Detailed Tables and Categories of Data

    Gasoline and Diesel Fuel Update (EIA)

    floorspace heated, cooled, and lit, and energy-using equipment types (heating, cooling, water heating, lighting, and refrigeration). Tables C1-C12 and C1A-C12A contain energy usage...

  11. TableofContentsEnvironmentalStudies Table of Contents Environmental Studies

    E-Print Network [OSTI]

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348 · Environmental Management: Policy, Resources and Conservation345 TableofContents­EnvironmentalStudies Table of Contents ­ Environmental Studies Faculty of Environmental Studies . . . . . . . . . . . . . . . . 347 The Bachelor in Environmental Studies

  12. Testing and Analysis for Lifetime Prediction of Crystalline Silicon PV Modules Undergoing Degradation by System Voltage Stress: Preprint

    SciTech Connect (OSTI)

    Hacke, P.; Smith, R.; Terwiliger, K.; Glick, S.; Jordan, D.; Johnston, S.; Kempe, M.; Kurtz, S.

    2012-07-01T23:59:59.000Z

    Acceleration factors are calculated for crystalline silicon PV modules under system voltage stress by comparing the module power during degradation outdoors to that in accelerated testing at three temperatures and 85% relative humidity. A lognormal analysis is applied to the accelerated lifetime test data considering failure at 80% of the initial module power. Activation energy of 0.73 eV for the rate of failure is determined, and the probability of module failure at an arbitrary temperature is predicted. To obtain statistical data for multiple modules over the course of degradation in-situ of the test chamber, dark I-V measurements are obtained and transformed using superposition, which is found well suited for rapid and quantitative evaluation of potential-induced degradation. It is determined that shunt resistance measurements alone do not represent the extent of power degradation. This is explained with a two-diode model analysis that shows an increasing second diode recombination current and ideality factor as the degradation in module power progresses. Failure modes of the modules stressed outdoors are examined and compared to those stressed in accelerated tests.

  13. System Voltage Potential-Induced Degradation Mechanisms in PV Modules and Methods for Test: Preprint

    SciTech Connect (OSTI)

    Hacke, P.; Terwilliger, K.; Smith, R.; Glick, S.; Pankow, J.; Kempe, M.; Kurtz, S.; Bennett, I.; Kloos, M.

    2011-07-01T23:59:59.000Z

    Over the past decade, degradation and power loss have been observed in PV modules resulting from the stress exerted by system voltage bias. This is due in part to qualification tests and standards that do not adequately evaluate for the durability of modules to the long-term effects of high voltage bias experienced in fielded arrays. High voltage can lead to module degradation by multiple mechanisms. The extent of the voltage bias degradation is linked to the leakage current or coulombs passed from the silicon active layer through the encapsulant and glass to the grounded module frame, which can be experimentally determined; however, competing processes make the effect non-linear and history-dependent. Appropriate testing methods and stress levels are described that demonstrate module durability to system voltage potential-induced degradation (PID) mechanisms. This information, along with outdoor testing that is in progress, is used to estimate the acceleration factors needed to evaluate the durability of modules to system voltage stress. Na-rich precipitates are observed on the cell surface after stressing the module to induce PID in damp heat with negative bias applied to the active layer.

  14. System Voltage Potential-Induced Degradation Mechanisms in PV Modules and Methods for Test

    SciTech Connect (OSTI)

    Hacke, P.; Terwilliger, K.; Smith, R.; Glick, S.; Pankow, J.; Kempe, M.; Kurtz, S.; Bennett, I.; Kloos, M.

    2011-01-01T23:59:59.000Z

    Over the past decade, degradation and power loss have been observed in PV modules resulting from the stress exerted by system voltage bias. This is due in part to qualification tests and standards that do not adequately evaluate for the durability of modules to the long-term effects of high voltage bias experienced in fielded arrays. High voltage can lead to module degradation by multiple mechanisms. The extent of the voltage bias degradation is linked to the leakage current or culombs passed from the silicon active layer through the encapsulant and glass to the grounded module frame, which can be experimentally determined; however, competing processes make the effect non-linear and history-dependent. Appropriate testing methods and stress levels are described that demonstrate module durability to system voltage potential-induced degradation (PID) mechanisms. This information, along with outdoor testing that is in progress, is used to estimate the acceleration factors needed to evaluate the durability of modules to system voltage stress. Na-rich precipitates are observed on the cell surface after stressing the module to induce PID in damp heat with negative bias applied to the active layer.

  15. Construction of tree volume tables from integration of taper equations

    E-Print Network [OSTI]

    Coffman, Jerry Gale

    1973-01-01T23:59:59.000Z

    August 1973 Major Subject: Forest Science CONSTRUCTION OF TREE VOLUME TABLES FROM INTEGRATION OF TAPER EqUATIONS A Thesis by JERRY GALE COFFMAN Approved as to style and content by: , . . -('7)i- 7 Jf A~(''~--- (Chairman of Committee) (8 ad... of Dsp ar tment) (Member) (Member August 1973 488899 ABSTRACT Construction of Tree Volume Tables From Integration of Taper Equations. (August. 1973) Jerry Gale Coffman, B. S. F. , University of Arkansas at Monticello; Directed by: Dr. De~id M...

  16. Kinematic entanglement degradation of fermionic cavity modes

    E-Print Network [OSTI]

    Nicolai Friis; Antony R. Lee; David Edward Bruschi; Jorma Louko

    2012-01-23T23:59:59.000Z

    We analyse the entanglement and the non-locality of a (1+1)-dimensional massless Dirac field confined to a cavity on a worldtube that consists of inertial and uniformly accelerated segments, for small accelerations but arbitrarily long travel times. The correlations between the accelerated field modes and the modes in an inertial reference cavity are periodic in the durations of the individual trajectory segments, and degradation of the correlations can be entirely avoided by fine-tuning the individual or relative durations of the segments. Analytic results for selected trajectories are presented. Differences from the corresponding bosonic correlations are identified and extensions to massive fermions are discussed.

  17. Amine Degradation in CO2 Capture. 2. New degradation products of MEA. Pyrazine and alkyl pyrazines: analysis, mechanism of formation and toxicity.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Amine Degradation in CO2 Capture. 2. New degradation products of MEA. Pyrazine and alkyl pyrazines Degradation in CO2 Capture. 2. New degradation products of MEA. Pyrazine and alkyl pyrazines: analysis degradation products, and some of them could be potentially dangerous to humans or environment according

  18. Advanced Cell Development and Degradation Studies

    SciTech Connect (OSTI)

    J. E. O'Brien; C. M. Stoots; J. S. Herring; R. C. O'Brien; K. G. Condie; M. Sohal; G. K. Housley; J. J. Hartvigsen; D. Larsen; G. Tao; B. Yildiz; V. Sharma; P. Singh; N. Petigny; T. L. Cable

    2010-09-01T23:59:59.000Z

    The Idaho National Laboratory (INL) has been researching the application of solid-oxide electrolysis cells for large-scale hydrogen production from steam over a temperature range of 800 to 900şC. From 2003 – 2009, this work was sponsored by the DOE Nuclear Hydrogen Initiative (NHI). Starting in 2010, the HTE research program has been sponsored by the Next Generation Nuclear Plant (NGNP) program. HTSE research priorities in FY10 are centered on understanding and reducing cell and stack performance degradation to an acceptable level to advance the technology readiness level of HTSE and to justify further large-scale demonstration activities. This report provides a summary of our FY10 experimental program, which has been focused on advanced cell and stack development and degradation studies. Advanced cell and stack development activities are under way at five technology partners: MSRI, Versa Power, Ceramatec, NASA Glenn, and St. Gobain. Performance evaluation of the advanced technology cells and stacks has been performed by the technology partners, by MIT and the University of Connecticut and at the INL HTE Laboratory. Summaries of these development activities and test results are presented.

  19. Table A1 Molar mass, gas constant, and critical-point properties

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    of carbon dioxide, CO2 Table A­21 Ideal-gas properties of carbon monoxide, CO Table A­22 Ideal Properties of the atmosphere at high altitude Table A­17 Ideal-gas properties of air Table A­18 Ideal-point properties Molar mass, constant, Temperature, Pressure, Volume, Substance Formula M kg/kmol R kJ/kg·K* K MPa

  20. Direct Analysis of JV-Curves Applied to an Outdoor-Degrading CdTe Module (Presentation)

    SciTech Connect (OSTI)

    Jordan, D; Kurtz, S.; Ulbrich, C.; Gerber, A.; Rau, U.

    2014-03-01T23:59:59.000Z

    We present the application of a phenomenological four parameter equation to fit and analyze regularly measured current density-voltage JV curves of a CdTe module during 2.5 years of outdoor operation. The parameters are physically meaningful, i.e. the short circuit current density Jsc, open circuit voltage Voc and differential resistances Rsc, and Roc. For the chosen module, the fill factor FF degradation overweighs the degradation of Jsc and Voc. Interestingly, with outdoor exposure, not only the conductance at short circuit, Gsc, increases but also the Gsc(Jsc)-dependence. This is well explained with an increase in voltage dependent charge carrier collection in CdTe.

  1. Biocarrier composition for and method of degrading pollutants

    DOE Patents [OSTI]

    Fliermans, C.B.

    1994-01-01T23:59:59.000Z

    The present invention relates to biocarrier compositions that attract and bond pollutant-degrading antigens that will degrade the pollutants. Biocarriers are known generally as a variety of inert or semi-inert compounds or structures having the ability to sequester (attract), hold and biomagnify (enhance) specific microorganisms within their structure. Glass or polystyrene beads are the most well known biocarriers. The biocarrier, which is preferably in the form of glass microspheres, is coated with an antibody or group of antibodies that attract and react specifically with certain pollutant-degrading antigens. The antibody, once bonded to the biocarrier, is used by the composition to attract and bond those pollutant-degrading antigens. Each antibody is specific for an antigen that is specific for a given pollutant. The resulting composition is subsequently exposed to an environment contaminated with pollutants for degradation. In the preferred use, the degrading composition is formed and then injected directly into or near a plume or source of contamination.

  2. HYDRIDE-RELATED DEGRADATION OF SNF CLADDING UNDER REPOSITORY CONDITIONS

    SciTech Connect (OSTI)

    K. McCoy

    2000-12-12T23:59:59.000Z

    The purpose and scope of this analysis/model report is to analyze the degradation of commercial spent nuclear fuel (CSNF) cladding under repository conditions by the hydride-related metallurgical processes, such as delayed hydride cracking (DHC), hydride reorientation and hydrogen embrittlement, thereby providing a better understanding of the degradation process and clarifying which aspects of the process are known and which need further evaluation and investigation. The intended use is as an input to a more general analysis of cladding degradation.

  3. Intact and Degraded Component Criticality Calculations of N Reactors Spent Nuclear Fuel

    SciTech Connect (OSTI)

    L. Angers

    2001-01-31T23:59:59.000Z

    The objective of this calculation is to perform intact and degraded mode criticality evaluations of the Department of Energy's (DOE) N Reactor Spent Nuclear Fuel codisposed in a 2-Defense High-Level Waste (2-DHLW)/2-Multi-Canister Overpack (MCO) Waste Package (WP) and emplaced in a monitored geologic repository (MGR) (see Attachment I). The scope of this calculation is limited to the determination of the effective neutron multiplication factor (k{sub eff}) for both intact and degraded mode internal configurations of the codisposal waste package. This calculation will support the analysis that will be performed to demonstrate the technical viability for disposing of U-metal (N Reactor) spent nuclear fuel in the potential MGR.

  4. Membrane degradation Accelerated Stress Test | OSTI, US Dept...

    Office of Scientific and Technical Information (OSTI)

    Membrane degradation Accelerated Stress Test Re-direct Destination: Abstract Not Provided times redirected to final destination ShortURL Code Published Current state Most recent...

  5. Model Compound Studies of Fuel Cell Membrane Degradation

    Broader source: Energy.gov [DOE]

    Presentation on Model Compound Studies of Fuel Cell Membrane Degradation to the High Temperature Membrane Working Group Meeting held in Arlington, Virginia, May 26,2005.

  6. Methods for enhancing the degradation or conversion of cellulosic material

    DOE Patents [OSTI]

    Harris, Paul (Carnation, WA) Rey, Michael (Davis, CA); Ding, Hanshu (Davis, CA)

    2009-10-27T23:59:59.000Z

    The present invention relates to methods for degrading or converting a cellulosic material and for producing a substance from a cellulosic material.

  7. Colour Analysis of Degraded Parchment Lindsay MACDONALD, Alejandro GIACOMETTI,

    E-Print Network [OSTI]

    Weyrich, Tim

    Colour Analysis of Degraded Parchment Lindsay MACDONALD, Alejandro GIACOMETTI, Tim WEYRICH, Melissa TERRAS and Adam GIBSON University College London ABSTRACT Multispectral imaging was employed to collect

  8. Methods for enhancing the degradation or conversion of cellulosic material

    DOE Patents [OSTI]

    Harris, Paul (Carnation, WA); Rey, Michael (Davis, CA); Ding, Hanshu (Davis, CA)

    2012-04-03T23:59:59.000Z

    The present invention relates to methods for degrading or converting a cellulosic material and for producing a substance from a cellulosic material.

  9. Outdoor PV Module Degradation of Current-Voltage Parameters: Preprint

    SciTech Connect (OSTI)

    Smith, R. M.; Jordan, D. C.; Kurtz, S. R.

    2012-04-01T23:59:59.000Z

    Photovoltaic (PV) module degradation rate analysis quantifies the loss of PV power output over time and is useful for estimating the impact of degradation on the cost of energy. An understanding of the degradation of all current-voltage (I-V) parameters helps to determine the cause of the degradation and also gives useful information for the design of the system. This study reports on data collected from 12 distinct mono- and poly-crystalline modules deployed at the National Renewable Energy Laboratory (NREL) in Golden, Colorado. Most modules investigated showed < 0.5%/year decrease in maximum power due to short-circuit current decline.

  10. High-Resolution Crack Imaging Reveals Degradation Processes in...

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

    Reveals Degradation Processes in Nuclear Reactor Structural Materials. Abstract: Corrosion and cracking represent critical failure mechanisms for structural materials in many...

  11. Degradation of organic chemicals with titanium ceramic membranes

    DOE Patents [OSTI]

    Anderson, M.A.; Tunesi, S.; Xu, Q.

    1991-07-30T23:59:59.000Z

    Complex organic molecules, such as polychlorinated biphenyls can be degraded on porous titanium ceramic membranes by photocatalysis under ultraviolet light. 3 figures.

  12. SECTION M EVALUATION FACTORS FOR AWARD TABLE OF CONTENTS M-1 EVALUATION OF PROPOSALS .....................................................................................2

    National Nuclear Security Administration (NNSA)

    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 AprilAElectronic Input Options Gary L. Hirsch SNL 2001a,Summary; i-C* S H I E L DN,

  13. SECTION M EVALUATION FACTORS FOR AWARD TABLE OF CONTENTS M-1 EVALUATION OF PROPOSALS .....................................................................................2

    National Nuclear Security Administration (NNSA)

    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 AprilAElectronic Input Options Gary L. Hirsch SNL 2001a,Summary; i-C* S H I E L DN,M

  14. The Effect of Degraded Digital Instrumentation and Control systems on Human-system Interfaces and Operator Performance

    SciTech Connect (OSTI)

    OHara, J.M.; Gunther, B.; Martinez-Guridi, G. (BNL); Xing, J.; Barnes, V. (NRC)

    2010-11-07T23:59:59.000Z

    Integrated digital instrumentation and control (I&C) systems in new and advanced nuclear power plants (NPPs) will support operators in monitoring and controlling the plants. Even though digital systems typically are expected to be reliable, their potential for degradation or failure significantly could affect the operators performance and, consequently, jeopardize plant safety. This U.S. Nuclear Regulatory Commission (NRC) research investigated the effects of degraded I&C systems on human performance and on plant operations. The objective was to develop technical basis and guidance for human factors engineering (HFE) reviews addressing the operator's ability to detect and manage degraded digital I&C conditions. We reviewed pertinent standards and guidelines, empirical studies, and plant operating experience. In addition, we evaluated the potential effects of selected failure modes of the digital feedwater control system of a currently operating pressurized water reactor (PWR) on human-system interfaces (HSIs) and the operators performance. Our findings indicated that I&C degradations are prevalent in plants employing digital systems, and the overall effects on the plant's behavior can be significant, such as causing a reactor trip or equipment to operate unexpectedly. I&C degradations may affect the HSIs used by operators to monitor and control the plant. For example, deterioration of the sensors can complicate the operators interpretation of displays, and sometimes may mislead them by making it appear that a process disturbance has occurred. We used the findings as the technical basis upon which to develop HFE review guidance.

  15. A Table of Areas Under Disease Progress Curves. 

    E-Print Network [OSTI]

    Johnson, Dennis A.; Wilcoxson, Roy D.

    1980-01-01T23:59:59.000Z

    [Blank Page in Original Bulletin] A TABLE OF AREAS UNDER DISEASE PROGRESS CURVES Technical Bullet in Texas Agricultural Experiment Station Texas A & M University System- [Blank Page in Original Bulletin] A TABLE OF AREAS UNDER D I S E A S E... Chillicothe-Vernon, TX 76384; and Professor Department of Plant Pathology University of Minnesota St. Paul, MN 55108 A T a b l e o f A r e a s Under D i s e a s e P r o g r e s s Curves 3 Denn i s A. J o h n s o n and Roy D . \\ W i l c o x s o...

  16. THERMODYNAMIC TABLES FOR NUCLEAR WASTE ISOLATION, V.1: AQUEOUSSOLUTIONS DATABASE

    SciTech Connect (OSTI)

    Phillips, S.L.; Hale, F.V.; Silvester, L.F.

    1988-05-01T23:59:59.000Z

    Tables of consistent thermodynamic property values for nuclear waste isolation are given. The tables include critically assessed values for Gibbs energy of formation. enthalpy of formation, entropy and heat capacity for minerals; solids; aqueous ions; ion pairs and complex ions of selected actinide and fission decay products at 25{sup o}C and zero ionic strength. These intrinsic data are used to calculate equilibrium constants and standard potentials which are compared with typical experimental measurements and other work. Recommendations for additional research are given.

  17. Table 9. U.S. Steam Coal Exports

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Table 8.2.9.

  18. System Performances under Automation Degradation E. Hollnagel3

    E-Print Network [OSTI]

    Boyer, Edmond

    System Performances under Automation Degradation (SPAD) E. Hollnagel3 , C. Martinie1 , P. Palanque1 of the project objectives augmented by some early findings. Abstract - Increased automation is one of the main changes foreseen by SESAR in ATM. This will pose new challenges including possible automation degradation

  19. Mineralization of Pentachlorophenol With Enhanced Degradation and Power Generation From

    E-Print Network [OSTI]

    ARTICLE Mineralization of Pentachlorophenol With Enhanced Degradation and Power Generation From Air to completely mineralize pentachlorophenol (PCP; 5 mg/L), in the pres- ence of acetate or glucose. Degradation; mineralization Introduction Pentachlorophenol (PCP) is one of many recalcitrant and toxic compounds found

  20. Computational Modelling of Particle Degradation in Dilute Phase Pneumatic Conveyors

    E-Print Network [OSTI]

    Christakis, Nikolaos

    the calculation of degradation propensity is coupled with a flow model of the solids and gas phases in the pipeline. Numerical results are presented for degradation of granulated sugar in an industrial scale handling, because of the change in particle properties such as particle size distribution, shape and

  1. Scleral Reinforcement Through Host Tissue Integration with Biomimetic Enzymatically Degradable

    E-Print Network [OSTI]

    Healy, Kevin Edward

    . Wildsoet, O.D., Ph.D.1 Enzymatically degradable semi-interpenetrating polymer networks (edsIPNs) were Polymer Network James Su, M.Eng.,1 Samuel T. Wall, Ph.D.,2 Kevin E. Healy, Ph.D.,2,3 and Christine FScleral Reinforcement Through Host Tissue Integration with Biomimetic Enzymatically Degradable Semi-Interpenetrating

  2. CHARACTERIZATION OF LAND DEGRADATION PROCESSES USING AIRBORNE LASER SCANNING

    E-Print Network [OSTI]

    Marco, Shmuel "Shmulik"

    CHARACTERIZATION OF LAND DEGRADATION PROCESSES USING AIRBORNE LASER SCANNING Sagi Filin1 , Amit@tau.ac.il Commission VIII/8 KEY WORDS: Airborne laser scanning, Geomorphology, Dead Sea, Land Degradation, Sinkholes of collapse sinkholes in high resolution using airborne laser scanning technology. As a study case, we use

  3. Rate-based degradation modeling of lithium-ion cells

    SciTech Connect (OSTI)

    E.V. Thomas; I. Bloom; J.P. Christophersen; V.S. Battaglia

    2012-05-01T23:59:59.000Z

    Accelerated degradation testing is commonly used as the basis to characterize battery cell performance over a range of stress conditions (e.g., temperatures). Performance is measured by some response that is assumed to be related to the state of health of the cell (e.g., discharge resistance). Often, the ultimate goal of such testing is to predict cell life at some reference stress condition, where cell life is defined to be the point in time where performance has degraded to some critical level. These predictions are based on a degradation model that expresses the expected performance level versus the time and conditions under which a cell has been aged. Usually, the degradation model relates the accumulated degradation to the time at a constant stress level. The purpose of this article is to present an alternative framework for constructing a degradation model that focuses on the degradation rate rather than the accumulated degradation. One benefit of this alternative approach is that prediction of cell life is greatly facilitated in situations where the temperature exposure is not isothermal. This alternative modeling framework is illustrated via a family of rate-based models and experimental data acquired during calendar-life testing of high-power lithium-ion cells.

  4. Effects of TNT and its metabolites on anaerobic TNT degradation

    SciTech Connect (OSTI)

    Roberts, D.J. [Univ. of Houston, TX (United States). Dept. of Civil and Environmental Engineering; Pendharkar, S. [Computron, Phoenix, AZ (United States); Ahmad, F. [Booz, Allen and Hamilton, San Antonio, TX (United States)

    1998-07-01T23:59:59.000Z

    The effects of the presence of 2,4,6-trinitrotoluene (TNT), 4-amino-2,6-dinitrotoluene, and 2,4-diamino-6-nitrotoluene on the anaerobic treatment procedure developed for munitions-contaminated soil were examined. When 4-amino-2,6-dinitrotoluene was spiked in increasing levels into cultures containing TNT, inhibition of the rate of TNT degradation was observed. The degradation of 4-amino-2,6-dinitrotoluene did not proceed while TNT was present in the cultures. When 2,4-diamino-6-nitrotoluene was spiked into cultures that also contained TNT, TNT degradation rates were inhibited, and 4-amino-2,6-dinitrotoluene and 2,4-diamino-6-nitrotoluene were not degraded at all. When 2,4-diamino-6-nitrotoluene was spiked into cultures containing 4-amino-2,6-dinitrotoluene, degradation of 4-amino-2,6-dinitrotoluene was not effected but 2,4-diamino-6-nitrotoluene was not degraded. These results suggest that the rapid removal of TNT from the treatment system, before the intermediates have a chance to accumulate, or the rapid removal of the intermediates of TNT degradation is of utmost importance during the remediation of TNT-contaminated soils. If these intermediates are allowed to accumulate above inhibitory levels, the degradation of TNT will be slowed and the removal of the intermediates will halt completely.

  5. Degradation in Solid Oxide Cells During High Temperature Electrolysis

    SciTech Connect (OSTI)

    Manohar Sohal

    2009-05-01T23:59:59.000Z

    Idaho National Laboratory has an ongoing project to generate hydrogen from steam using solid oxide electrolysis cells. One goal of that project is to address the technical and degradation issues associated with solid oxide electrolysis cells. This report covers a variety of these degradation issues, which were discussed during a workshop on “Degradation in Solid Oxide Electrolysis Cells and Strategies for its Mitigation,” held in Phoenix, AZ on October 27, 2008. Three major degradation issues related to solid oxide electrolysis cells discussed at the workshop are: • Delamination of O2-electrode and bond layer on steam/O2-electrode side • Contaminants (Ni, Cr, Si, etc.) on reaction sites (triple-phase boundary) • Loss of electrical/ionic conductivity of electrolyte. This list is not all inclusive, but the workshop summary can be useful in providing a direction for future research related to the degradation of solid oxide electrolysis cells.

  6. Electrical Degradation of InAlAs/InGaAs Metamorphic

    E-Print Network [OSTI]

    del Alamo, Jesús A.

    Electrical Degradation of InAlAs/InGaAs Metamorphic High-Electron Mobility Transistors S. D · Introduction · Electrical Degradation of mHEMTs · Degradation of TLMs · Degradation Mechanisms #12;Metamorphic Degradation of InAlAs/InGaAs mHEMTs Little known about reliability of mHEMTs Observations in InP HEMTs

  7. Factors affecting binder properties between production and construction and their impact on quality assurance programs

    E-Print Network [OSTI]

    Arambula Mercado, Edith

    2002-01-01T23:59:59.000Z

    Research. . 41 REFERENCES. APPENDIX 1 APPENDIX 2 . 43 . 46 51 APPENDIX 3 Page . . . 55 VITA . . . . . 58 LIST OF FIGURES FIGURE Page 1 Binder Path from the Supplier to the Construction Site. . . . 2 Box-plot for the Response Variable. . . . 26... Plot for the Contamination*Storage Time Interaction Effect. . . . . . . 33 7 Profile Plot for the Storage Time*Storage Temperature Interaction Effect. . . . . . 33 LIST OF TABLES TABLE Page 1 Factors That May Affect Binder Properties Prior...

  8. University Housing and Residence Life Table of Contents

    E-Print Network [OSTI]

    1 University Housing and Residence Life Fall `07 #12;2 Table of Contents Assignments / Roommates 4 Employment 9 Banking 9 Move in dates/times 10 Key pick up 10 Campus Housing & Residence Life Offices 11 Welcome to University Housing at Rutgers, The State University of New Jersey! This book has been designed

  9. Technical Note/ Improved Water Table Dynamics in MODFLOW

    E-Print Network [OSTI]

    Barrash, Warren

    series of ground water simulation codes, developed by the U.S. Geological Survey, is possi- bly the most storage as well as the physical dimensions of the sat- urated region. The change in storage is modeled of the cell. While the change in storage occurs at the water table, the influence is applied to the entire

  10. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    61.5 70.8 92.7 90.7 81.5 72.8 - 78.0 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

  11. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    82.4 77.1 68.9 62.6 71.6 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information...

  12. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    62.6 71.7 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

  13. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    71.8 W 70.5 78.9 W 76.0 83.6 W 69.2 75.2 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  14. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    W 68.4 70.8 W W 78.6 W 85.7 81.8 W 69.3 73.8 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  15. EA-1909: South Table Wind Farm Project, Kimball County, Nebraska

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing this EA to evaluate the environmental impacts of interconnecting the proposed South Table Wind Project, which would generate approximately 60 megawatts from about 40 turbines, to Western’s existing Archer-Sidney 115-kV Transmission Line in Kimball County, Nebraska.

  16. Table of Contents 2 Find a Job or Internship

    E-Print Network [OSTI]

    Hone, James

    F 2 0 1 1 A L L #12;Table of Contents 2 Find a Job or Internship 4 All Students and Alumni 10 All begin November 18th Deadline to accept full-time offers Summer Internship Search through OCR November 2 to accept internship offers Employer Information Sessions Employer Information Sessions are hosted on campus

  17. Tables des principaux minerais d'uranium et de thorium

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    233 Tables des principaux minerais d'uranium et de thorium Par B. SZILARD [Faculté des Sciences de minerais d'uranium et de thorium avec leurs données les plus importantes, telles que la com- position, la teneur en uranium et en thorium, la provenance et quelques indications générales. La liste ne prétend pas

  18. Using in Your Job Search Table of Contents

    E-Print Network [OSTI]

    Bordenstein, Seth

    Using in Your Job Search Table of Contents: 1. Glossary of Terms 2. Logging Into Your Account 3. Student Home Page 4. Profile Tab 5. Documents Tab 6. Jobs Tab ­ Searching for Jobs 7. Applying to Jobs 8 of Terms · Job Posting ­ Is a position posted for students/alumni that is not interviewing on-campus (There

  19. Table of Contents Part 1: Climate Graphs Activity

    E-Print Network [OSTI]

    . Quantity. How much precipitation falls? What is the general trend east to west in Texas concerningTable of Contents Part 1: Climate Graphs Activity Part 2: Texas Climate Handout Maps for transparencies: a. Texas Average Annual Temperature b. Texas Average Annual Precipitation c. Texas Climate

  20. Study of Internet autonomous system interconnectivity from BGP routing tables

    E-Print Network [OSTI]

    Catalunya, Universitat Politčcnica de

    Study of Internet autonomous system interconnectivity from BGP routing tables Jose M. Barcelo ISPs (Internet Service Providers) and to interconnect enterprises to ISPs. ISPs usually are providers University of Baja California (UABC), Mexico. He is a PhD student at UPC, Spain, with a grant of the Mexican

  1. TABLE OF CONTENTS CALIFORNIA CODE OF REGULATIONS ADMINISTRATIVE REGULATIONS

    E-Print Network [OSTI]

    #12;#12;i TABLE OF CONTENTS CALIFORNIA CODE OF REGULATIONS ADMINISTRATIVE REGULATIONS Section 10............................................. Admin-7 Section 10-106 -- Locally Adopted Energy Standards Product U-Values, Solar Heat Gain Coefficient, and Air Leakage....... Admin-12 Section 10-112 -- Criteria

  2. Mann LED Elevator Ligh ng: ECI Savings Table Cost (billed)

    E-Print Network [OSTI]

    Lipson, Michal

    the elevators, deter mined an LED replace ment lamp for the ex is ng halogen lamps, cal culated a cost benefitMann LED Elevator Ligh ng: ECI Savings Table Utility Historical Energy Use (MMBtu) Est. FY 2012,000 2 Energy Conservation Initiative (ECI) Project Summary Mann LED Elevator Ligh ng, Facility 1027 Mann

  3. Migration Health MIDSA Report -December 2009 Table of Contents

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    -Sectoral Approach . . . . . . . . . . . . . . . . . . . . . . . 17 5.5 PHC Reform and Provision of Health Service . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 5.10 Burden on Health Care System . . . . . . . . . . . . . . . . . . . 18 5.11 Condom#12;Migration Health MIDSA Report - December 2009 Table of Contents 1 Foreword 1 2 Acronyms 3 3

  4. 7 Predictive Risk Mapping of Water Table Depths in

    E-Print Network [OSTI]

    Camara, Gilberto

    , and so risks of water shortage appear. The preservation of these resources is important because73 7 Predictive Risk Mapping of Water Table Depths in a Brazilian Cerrado Area R. L. Manzione, M metabolize throughout the year, drawing on soil water reserves, and can withstand short-lived fires. contents

  5. OSU-TULSA UNIVERSITY POLICE TABLE OF CONTENTS

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    PUBLIC SAFETY GUIDE OSU-TULSA UNIVERSITY POLICE 9/2013 R #12;TABLE OF CONTENTS 3 Letter from Procedures Statement Notification to the OSU-Tulsa Community about an Immediate Threat 6 Medical Emergencies health counselor Lost and Found 11 Crimes Reported by OSU-Tulsa University Police 12 Crimes Reported

  6. Table 1. HARVESTING MANAGEMENT STRATEGIES Strategy Name Use Typical location

    E-Print Network [OSTI]

    channels Partial cutting systems PARTIAL To minimize fan destabilization Fans with high destabilization To reduce the logging debris load For gullies with high debris flow potential FS197C RVA 2002/03 #12;Table 2, BUFFER Hb NOLOG Hb NOLOG M LOG/CLWD M BUFFER, LS/CTWD Mb BUFFER, PARTIAL Mb BUFFE, PARTIA, LS/CLWD L LOG

  7. Council Document 2003-11 TABLE OF CONTENTS

    E-Print Network [OSTI]

    Council Document 2003-11 #12;#12;TABLE OF CONTENTS Introduction The Columbia River Basin Fish and Wildlife Program 5 The 2000 Fish and Wildlife Program and the Mainstem Plan 5 Expectations for the elements conditions 11 Migration/passage conditions for anadromous fish 13 Resident fish/wildlife 13 Strategies

  8. 2010 Air Canada Elite Program Table of contents

    E-Print Network [OSTI]

    Flanagan, Randy

    2010 Air Canada Elite Program Table of contents 2010 & 2011 Qualifying Criteria 2010 Privileges Benefits 2010TopTier Comparison Chart 2010 & 2011 Qualifying Criteria How to Achieve Air Canada Top Tier Q u a l i f y i n g C r i t e r i a How to Achieve Air Canada Top Tier Status The qualifying period

  9. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM #12;Section Enrollment Report (CENSUS) - Table of Contents Subject Description NUCL NUCL-Nuclear

  10. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr &Hum-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM Report (CENSUS) - Table of Contents Subject Description NS NS-Naval Science NUCL NUCL-Nuclear Engineering

  11. FRZ Section Enrollment Report (SER) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Science NUCL Nuclear Engineering NUPH Nuclear Pharmacy NUR Nursing OBHR Orgnztnl Bhvr & Humn Resources OLS Enrollment Report (SER) - Table of Contents Subject Description CLPH Clinical Pharmacy CMCI CIC Common Market Organiz Ldrshp And Supervision PES Physical Education Skills PHAD Pharmacy Administration #12;FRZ Section

  12. FRZ Section Enrollment Report (SER) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Engineering NUPH Nuclear Pharmacy NUR Nursing OBHR Orgnztnl Bhvr & Humn Resources OLS Organiz Ldrshp Enrollment Report (SER) - Table of Contents Subject Description CLPH Clinical Pharmacy CMCI CIC Common Market & Leadership MUS Music History & Theory NS Naval Science NRES Natural Res & Environ Science NUCL Nuclear

  13. FRZ Section Enrollment Report (SER) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Science NRES Natural Res & Environ Science NUCL Nuclear Engineering NUPH Nuclear Pharmacy NUR Nursing OBHR Clinical Pharmacy CMCI CIC Common Market CMPL Comparative Literature COM Communication CPB Comparative) - Table of Contents Subject Description PES Physical Education Skills PHAD Pharmacy Administration PHIL

  14. Chapter 13 Employee Health and Safety Table of Contents

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Employee Health and Safety 13.01 Safety Policy and Accident Reporting Accident Analysis and PreventionChapter 13 Employee Health and Safety Table of Contents 13.01 Safety Policy and Accident Reporting.05 Abnormally Hazardous Tasks 1 #12;Chapter 13 Employee Health and Safety 13.01 Safety Policy and Accident

  15. Unobtrusive Tabletops: Linking Personal Devices with Regular Tables

    E-Print Network [OSTI]

    1 Unobtrusive Tabletops: Linking Personal Devices with Regular Tables Abstract In this paper we with spatially tracked touch-enabled personal devices. This retains the normal usage of tabletop surfaces, solves privacy issues, and allows for storage of media items on the personal devices. Moreover, user input can

  16. Degradation of superconductivity in A15 V/sub 3/Si by explosive compression

    SciTech Connect (OSTI)

    Stewart, G.; Olinger, B.; Newkirk, L.R.

    1985-03-01T23:59:59.000Z

    We have found that explosive compression similar to that used to create A15 Nb/sub 3/Si seriously degrades superconductivity in A15 V/sub 3/Si which, before compression, was typical of well-ordered material. Specifically, the midpoint of the bulk superconducting transition is depressed by 1.8 K, the bulk transition width is increased by a factor of 3, and the specific heat ..gamma.. is decreased by more than 20% compared to the starting material. Implications of these results for the ultimate achievable transition temperature in A15 Nb/sub 3/Si are discussed.

  17. Degradation of a quantum reference frame

    E-Print Network [OSTI]

    Stephen D. Bartlett; Terry Rudolph; Robert W. Spekkens; Peter S. Turner

    2006-04-20T23:59:59.000Z

    We investigate the degradation of reference frames, treated as dynamical quantum systems, and quantify their longevity as a resource for performing tasks in quantum information processing. We adopt an operational measure of a reference frame's longevity, namely, the number of measurements that can be made against it with a certain error tolerance. We investigate two distinct types of reference frame: a reference direction, realized by a spin-j system, and a phase reference, realized by an oscillator mode with bounded energy. For both cases, we show that our measure of longevity increases quadratically with the size of the reference system and is therefore non-additive. For instance, the number of measurements that a directional reference frame consisting of N parallel spins can be put to use scales as N^2. Our results quantify the extent to which microscopic or mesoscopic reference frames may be used for repeated, high-precision measurements, without needing to be reset - a question that is important for some implementations of quantum computing. We illustrate our results using the proposed single-spin measurement scheme of magnetic resonance force microscopy.

  18. Microbial degradation of natural rubber vulcanizates

    SciTech Connect (OSTI)

    Tsuchii, A.; Suzuki, T.; Takeda, K.

    1985-10-01T23:59:59.000Z

    An actinomycete, Nocardia sp. strain 835A, grows well on unvulcanized natural rubber and synthetic isoprene rubber, but not on other types of synthetic rubber. Not only unvulcanized but also various kinds of vulcanized natural rubber products were more or less utilized by the organism as the sole source of carbon and energy. The thin film from a latex glove was rapidly degraded, and the weight loss reached 75% after a 2-week cultivation period. Oligomers with molecular weights from 10/sup 4/ to 10/sup 3/ were accumulated during microbial growth on the latex glove. The partially purified oligomers were examined by infrared and /sup 1/H nuclear magnetic resonance and /sup 13/C nuclear magnetic resonance spectroscopy, and the spectra were those expected of cis-1, 4-polyisoprene with the structure, OHC-CH/sub 2/-(-CH/sub 2/-C(-CH/sub 3/)=CH-CH/sub 2/-)/sub n/-CH/sub 2/-C(=O)-CH/sub 3/, with average values of n of about 114 and 19 for the two oligomers.

  19. SURVEY OF MODELS FOR CONCRETE DEGRADATION

    SciTech Connect (OSTI)

    Spencer, Benjamin W [Idaho National Laboratory; Huang, Hai [Idaho Nation Laboratory

    2014-08-01T23:59:59.000Z

    Concrete has been used in the construction of nuclear facilities because of two primary properties: its structural strength and its ability to shield radiation. Concrete structures have been known to last for hundreds of years, but they are also known to deteriorate in very short periods of time under adverse conditions. The use of concrete in nuclear facilities for containment and shielding of radiation and radioactive materials has made its performance crucial for the safe operation of the facility. The goal of this report is to review and document the main aging mechanisms of concern for concrete structures in nuclear power plants (NPPs) and the models used in simulations of concrete aging and structural response of degraded concrete structures. This is in preparation for future work to develop and apply models for aging processes and response of aged NPP concrete structures in the Grizzly code. To that end, this report also provides recommendations for developing more robust predictive models for aging effects of performance of concrete.

  20. Generic Degraded Congiguration Probability Analysis for DOE Codisposal Waste Package

    SciTech Connect (OSTI)

    S.F.A. Deng; M. Saglam; L.J. Gratton

    2001-05-23T23:59:59.000Z

    In accordance with the technical work plan, ''Technical Work Plan For: Department of Energy Spent Nuclear Fuel Work Packages'' (CRWMS M&O 2000c), this Analysis/Model Report (AMR) is developed for the purpose of screening out degraded configurations for U.S. Department of Energy (DOE) spent nuclear fuel (SNF) types. It performs the degraded configuration parameter and probability evaluations of the overall methodology specified in the ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2000, Section 3) to qualifying configurations. Degradation analyses are performed to assess realizable parameter ranges and physical regimes for configurations. Probability calculations are then performed for configurations characterized by k{sub eff} in excess of the Critical Limit (CL). The scope of this document is to develop a generic set of screening criteria or models to screen out degraded configurations having potential for exceeding a criticality limit. The developed screening criteria include arguments based on physical/chemical processes and probability calculations and apply to DOE SNF types when codisposed with the high-level waste (HLW) glass inside a waste package. The degradation takes place inside the waste package and is long after repository licensing has expired. The emphasis of this AMR is on degraded configuration screening and the probability analysis is one of the approaches used for screening. The intended use of the model is to apply the developed screening criteria to each DOE SNF type following the completion of the degraded mode criticality analysis internal to the waste package.

  1. Effect of metal chlorides on thermal degradation of (waste) polycarbonate

    SciTech Connect (OSTI)

    Chiu, S.-J. [Department of Chemical Engineering, MingChi University of Technology, 243, Taishan, Taipei, Taiwan (China)]. E-mail: sjchiu@ns1.mit.edu.tw; Chen, S.-H. [Department of Chemical Engineering, MingChi University of Technology, 243, Taishan, Taipei, Taiwan (China); Tsai, C.-T. [Department of Biochemical Engineering, MingChi University of Technology, 243, Taishan, Taipei, Taiwan (China)

    2006-07-01T23:59:59.000Z

    In this study, we investigated how to treat (waste) polycarbonate efficiently to reduce its degraded residue. The study was carried out in an isothermal reactor under continuous nitrogen flow at atmospheric pressure to pyrolyze polycarbonate (PC) alone and in the presence of metal chloride. Some metal chlorides were shown to be catalytic active for the degradation of PC at 400 deg. C, which increased degradation conversion from 8.5% to more than 58.3%. Among those active metal chlorides, ZnCl{sub 2} and SnCl{sub 2} can produce higher liquid product yields. Effects such as particle size of PC, temperature, the weight ratio of metal chloride/PC, and degradation time on the degradation conversion of PC without and with these two most active metal chlorides were studied. Results of the liquid product analysis by GC/MS demonstrated the product composition of PC degradation over the metal chlorides is much simpler than that of degradation alone. The main liquid product is phenol, p-isopropylphenol, diphenyl carbonate, and bisphenol A for all cases.

  2. Generation of Learning Samples for Historical Handwriting Recognition Using Image Degradation

    E-Print Network [OSTI]

    Boyer, Edmond

    Generation of Learning Samples for Historical Handwriting Recognition Using Image Degradation of image degradation to generate synthetic learning sam- ples for historical handwriting recognition. With respect to three image degradation models, we report significant im- provements in accuracy

  3. Permafrost degradation and its environmental effects on the Tibetan Plateau: A review of recent research

    E-Print Network [OSTI]

    Permafrost degradation and its environmental effects on the Tibetan Plateau: A review of recent Tibetan Plateau Permafrost Climate warming Permafrost degradation A significant portion of the Tibetan recent Chinese investigations on permafrost degradation and its environmental effects in the Tibetan

  4. Effect of degradation rates of resorbable phosphate invert glasses on in vitro osteoblast proliferation

    E-Print Network [OSTI]

    Brauer, Delia S; Rüssel, Christian; Li, Wu; Habelitz, Stefan

    2006-01-01T23:59:59.000Z

    over 24 h and 72 h Effect of degradation rates of resorbableDr. Matthias Schnabelrauch for degradation experiments usingand R21-DE015416. Effect of degradation rates of resorbable

  5. Energy and the Evolution of World-Systems: Fueling Power and Environmental Degradation, 1800-2008

    E-Print Network [OSTI]

    Lawrence, Kirk Steven

    2011-01-01T23:59:59.000Z

    67/11) 1. D. Enviro. Degradation pc 2. D. Energy ConsumptionD. Trade % 8. Lag Enviro. Degradation pc Mean SD*** KentorN/n =112/23) 1. D. Enviro. Degradation pc 2. D. Energy

  6. SENSITIVITY ANALYSIS FOR SALTSTONE DISPOSAL UNIT COLUMN DEGRADATION ANALYSES

    SciTech Connect (OSTI)

    Flach, G.

    2014-10-28T23:59:59.000Z

    PORFLOW related analyses supporting a Sensitivity Analysis for Saltstone Disposal Unit (SDU) column degradation were performed. Previous analyses, Flach and Taylor 2014, used a model in which the SDU columns degraded in a piecewise manner from the top and bottom simultaneously. The current analyses employs a model in which all pieces of the column degrade at the same time. Information was extracted from the analyses which may be useful in determining the distribution of Tc-99 in the various SDUs throughout time and in determining flow balances for the SDUs.

  7. Degradation of polychlorinated biphenyls (PCBs) using palladized iron

    SciTech Connect (OSTI)

    West, O.R.; Liang, L.; Holden, W.L. [and others

    1996-06-01T23:59:59.000Z

    Contamination from polychlorinated biphenyls (PCBs) is a persistent problem within the Department of Energy complex, as well as in numerous industrial sites around the US. To date, commercially available technologies for destroying these highly stable compounds involve degradation at elevated temperatures either through incineration or base-catalyzed dehalogenation at 300{degrees}C. Since the heating required with these processes substantially increases the costs for treatment of PCB-contaminated wastes, there is a need for finding an alternative approach where PCB can be degraded at ambient temperatures. This report describes the degradation of PCB`s utilizing the bimetallic substrate of iron/palladium.

  8. Summary and comments on the month's production and injection................. Using the production table...................................................................................

    E-Print Network [OSTI]

    #12;Summary and comments on the month's production and injection................. Using the production table................................................................................... Monthly Oil and Gas Production........................................................................ Using

  9. Tribological degradation of fluorocarbon coated silicon microdevice surfaces in normal and sliding contact

    E-Print Network [OSTI]

    Krim, Jacqueline

    Tribological degradation of fluorocarbon coated silicon microdevice surfaces in normal and sliding degradation of the contact interface of a fluorocarbon monolayer-coated polycrystalline silicon microdevice

  10. Free Energies for Degradation Reactions of 1,2,3-Trichloropropane...

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

    Degradation Reactions of 1,2,3-Trichloropropane from ab initio Electronic Structure Theory. Free Energies for Degradation Reactions of 1,2,3-Trichloropropane from ab initio...

  11. Table top nanopatterning with extreme ultraviolet laser illumination M.G. Capeluto c

    E-Print Network [OSTI]

    Rocca, Jorge J.

    Table top nanopatterning with extreme ultraviolet laser illumination M.G. Capeluto c , P. Wachulak practical table-top nanopatterning tools based on extreme ultraviolet lasers for nanotechnology applications. Ó 2007 Elsevier B.V. All rights reserved. Keywords: EUV lasers; Table top photolithography

  12. IP Routing Table Compression Using TCAM and Distance-one Merge

    E-Print Network [OSTI]

    Bollapalli, Kalyana Chakravarthy

    2011-02-22T23:59:59.000Z

    of completely specified logic functions, we demonstrate that our technique can achieve about 25% reduction in the size of IP routing tables, while ensuring that our approach can handle routing table updates in real-time. The resulting routing table can be used... . . . . . . . . . . . . . . 28 D. Compression . . . . . . . . . . . . . . . . . . . . . . . 30 E. Updates . . . . . . . . . . . . . . . . . . . . . . . . . . 31 1. Insertions . . . . . . . . . . . . . . . . . . . . . 31 2. Withdrawal . . . . . . . . . . . . . . . . . . . . 34 F...

  13. Degradation Pathway Models for Photovoltaics Module Lifetime Performance

    E-Print Network [OSTI]

    Rollins, Andrew M.

    Degradation Pathway Models for Photovoltaics Module Lifetime Performance Nicholas R. Wheeler, Laura data from Underwriter Labs, featuring measurements taken on 18 identical photovoltaic (PV) modules in modules and their effects on module performance over lifetime. Index Terms--photovoltaics, statistical

  14. Computational Modeling of Degradation of Substituted Benzyltrimethyl Ammonium: Preprint

    SciTech Connect (OSTI)

    Long, H.; Pivovar, B. S.

    2014-09-01T23:59:59.000Z

    The degradation of cations on the alkaline exchange membranes is the major challenge for alkaline membrane fuel cells. In this paper, we investigated the degradation barriers by density functional theory for substituted benzyltrimethyl ammonium (BTMA+) cations, which is one of the most commonly used cations for alkaline exchange membranes. We found that substituted cations with electron-releasing substituent groups at meta-position of the benzyl ring could result in improved degradation barriers. However, after investigating more than thirty substituted BTMA+ cations with ten different substituent groups, the largest improvement of degradation barriers is only 1.6 kcal/mol. This implies that the lifetime of alkaline membrane fuel cells could increase from a few months to a few years by using substituted BTMA+ cations, an encouraging but still limited improvement for real-world applications.

  15. Microbial petroleum degradation enhancement by oil spill bioremediation products

    E-Print Network [OSTI]

    Lee, Salvador Aldrett

    1996-01-01T23:59:59.000Z

    was conducted using unpolluted, natural seawater. The products were tested in triplicate using 250 ml Erlenmeyer flasks and evaluated over a 28 day period to determine the products' capabilities based on the extent of petroleum degradation. Toxicity...

  16. Degradation of Perchloroethylene and Dichlorophenol by Pulsed-Electric

    E-Print Network [OSTI]

    Wood, Thomas K.

    cycles) followed by bio- degradation of the dechlorinated products with a recom- binant toluene o to the nervous, epidermal, and skeletal systems are some of the effects observed in humans and animals exposed

  17. Mixed Hydrologic Recovery of a Degraded Mesquite Rangeland

    E-Print Network [OSTI]

    Lukenbach, Maxwell

    2011-08-08T23:59:59.000Z

    Land degradation and anthropogenic change is widespread on rangelands in Texas. Over the last 150 years, noticeable change has occurred as a direct result of agricultural practices and human activity. As novel ecosystems and permanently altered...

  18. Unravelling the Performance Degradation Mechanisms in High-voltage...

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

    Unravelling the Performance Degradation Mechanisms in High-voltage Lithium-ion Battery Composite Oxide Electrodes Apr 11 2014 02:00 PM - 03:00 PM Debasish Mohanty, ORNL, Oak Ridge...

  19. Investigation of the Photocatalytic Degradation of Ethanol and Acetone 

    E-Print Network [OSTI]

    Liu, Y.; Ding, B.; Dong, S.

    2006-01-01T23:59:59.000Z

    In-situ transmission Fourier-transform infrared spectroscopy has been used to study the photocatalytic oxidation of acetone, ethanol and the interaction between acetone and ethanol. Compared with the degradation of acetone alone, it cannot...

  20. Microbial petroleum degradation enhancement by oil spill bioremediation products 

    E-Print Network [OSTI]

    Lee, Salvador Aldrett

    1996-01-01T23:59:59.000Z

    was conducted using unpolluted, natural seawater. The products were tested in triplicate using 250 ml Erlenmeyer flasks and evaluated over a 28 day period to determine the products' capabilities based on the extent of petroleum degradation. Toxicity...