Sample records for unfccc sage models

  1. Development of a Habitat Suitability Index Model for the Sage Sparrow on the Hanford Site

    SciTech Connect (OSTI)

    Duberstein, Corey A.; Simmons, Mary Ann; Sackschewsky, Michael R.; Becker, James M.

    2008-01-01T23:59:59.000Z

    Mitigation threshold guidelines for the Hanford Site are based on habitat requirements of the sage sparrow (Amphispiza belli) and only apply to areas with a mature sagebrush (Artemisia tridentata) overstory and a native understory. The sage sparrow habitat requirements are based on literature values and are not specific to the Hanford Site. To refine these guidelines for the Site, a multi-year study was undertaken to quantify habitat characteristics of sage sparrow territories. These characteristics were then used to develop a habitat suitability index (HSI) model which can be used to estimate the habitat value of specific locations on the Site.

  2. SAGE Faculty

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

    Scott Baldbridge W. Scott Baldridge SAGE Co-Director Los Alamos National Laboratory Geology, Tectonics, Petrology Shawn Biehler Shawn Biehler University of California,...

  3. UNFCCC-Consolidated baseline and monitoring methodology for landfill...

    Open Energy Info (EERE)

    baseline and monitoring methodology for landfill gas project activities Jump to: navigation, search Tool Summary LAUNCH TOOL Name: UNFCCC-Consolidated baseline and monitoring...

  4. ICE SHEETS, GLOBAL WARMING, AND ARTICLE 2 OF THE UNFCCC An Editorial Essay

    E-Print Network [OSTI]

    Oppenheimer, Michael

    such rapid-loss mechanisms, models cannot produce a stable ice sheet above some local warming thresholdICE SHEETS, GLOBAL WARMING, AND ARTICLE 2 OF THE UNFCCC An Editorial Essay 1. Introduction Rapid disintegration of the West Antarctic ice sheet (WAIS) was cited decades ago as a potentially severe consequence

  5. SAGE Photo Gallery

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

    665-0855 Image Image Participants of SAGE 2000 deploy cables and geophones during a seismic survey. Veritas DGC Inc., an industrial sponsor of SAGE, provided Vibroseis trucks...

  6. SAGE Awards

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A National Science Foundation Research

  7. SAGE Faculty

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A National Science Foundation

  8. SAGE Application Process

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

    Application Process SAGE Application Process A National Science Foundation Research Experiences for Undergraduates program Contacts Institute Director Harald Dogliani-Los Alamos...

  9. TITLE: Article 2 of the UNFCCC: Historical Origins, Recent Interpretations AUTHORS: Oppenheimer, M., & Petsonk, A.

    E-Print Network [OSTI]

    Oppenheimer, Michael

    1 TITLE: Article 2 of the UNFCCC: Historical Origins, Recent Interpretations AUTHORS: Oppenheimer, M., & Petsonk, A. AFFILIATIONS: Oppenheimer, Michael: Woodrow Wilson School and Department Oppenheimer Robertson Hall 448 Princeton University Princeton, NJ 08544 Tel: 609-258-2338 Fax: 609

  10. SAGE: Solar Neutrino Data from SAGE, the Russian-American Gallium Solar Neutrino Experiment

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

    SAGE Collaboration

    SAGE is a solar neutrino experiment based on the reaction 71Ga + n goes to 71Ge + e-. The 71Ge atoms are chemically extracted from a 50-metric ton target of Ga metal and concentrated in a sample of germane gas mixed with xenon. The atoms are then individually counted by observing their decay back to 71Ga in a small proportional counter. The distinguishing feature of the experiment is its ability to detect the low-energy neutrinos from proton-proton fusion. These neutrinos, which are made in the primary reaction that provides the Sun's energy, are the major component of the solar neutrino flux and have not been observed in any other way. To shield the experiment from cosmic rays, it is located deep underground in a specially built facility at the Baksan Neutrino Observatory in the northern Caucasus mountains of Russia. Nearly 100 measurements of the solar neutrino flux have been made during 1990-2000, and their combined result is a neutrino capture rate that is well below the prediction of the Standard Solar Model. The significant suppression of the solar neutrino flux that SAGE and other solar neutrino experiments have observed gives a strong indication for the existence of neutrino oscillations. [copied from the SAGE homepage at http://ewi.npl.washington.edu/SAGE/SAGE.html

  11. SAGE Past Programs

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A National Science FoundationPast

  12. SAGE Photo Gallery

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A National Science FoundationPastPhoto

  13. Smart and Green Energy (SAGE) for Base Camps Final Report

    SciTech Connect (OSTI)

    Engels, Matthias; Boyd, Paul A.; Koehler, Theresa M.; Goel, Supriya; Sisk, Daniel R.; Hatley, Darrel D.; Mendon, Vrushali V.; Hail, John C.

    2014-02-11T23:59:59.000Z

    The U.S. Army Logistics Innovation Agency’s (LIA’s) Smart and Green Energy (SAGE) for Base Camps project was to investigate how base camps’ fuel consumption can be reduced by 30% to 60% using commercial off-the-shelf (COTS) technologies for power generation, renewables, and energy efficient building systems. Field tests and calibrated energy models successfully demonstrated that the fuel reductions are achievable.

  14. Mapping seasonal habitat suitability for the Gunnison sage-grouse in southwestern Colorado, USA: species distribution models using maximum entropy modelling and autoregression 

    E-Print Network [OSTI]

    Carlson, Amanda

    2013-08-14T23:59:59.000Z

    behavioural patterns or dispersal limitations. This research uses two methods which have recently been applied to ecological modelling to overcome these limitations: maximum entropy modelling (MaxEnt) and simultaneous autoregression (SAR). The study focuses...

  15. Economic Environment - Arniban Basu, Chairman & CEO, Sage Policy...

    Office of Environmental Management (EM)

    & CEO, Sage Policy Group, Inc. More Documents & Publications Renewable Chemicals and Advanced Biofuels Hawai'i's Evolution: Hawai'i Powered. Technology Driven. DEC SW 40th Street...

  16. Sage-Grouse and Wind Energy: Biology, Habits, and Potential Effects...

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

    Sage-Grouse and Wind Energy: Biology, Habits, and Potential Effects from Development Sage-Grouse and Wind Energy: Biology, Habits, and Potential Effects from Development...

  17. Sol Sage Energy | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g Grant ofRichardtonManagement,SmartestEnergynot indicatedSage Energy

  18. Sage-Grouse Lek Guideline Review Report

    SciTech Connect (OSTI)

    John Reisenauer

    2011-05-01T23:59:59.000Z

    On April 21, 2011, an Idaho National Laboratory (INL) Land Use Committee meeting was convened to support a Department of Energy Idaho Operations Office (DOE-ID) unofficial request to obtain Land Use Committee comments pertaining to the proposed Sage-Grouse Breeding Habitat Regulations. Two documents were provided from DOE-ID pertaining to the proposed regulations: “Guidelines for INL Site Activities within Sage-grouse Breeding Habitat” and “Guidelines for New Infrastructure Development and Future Activities on the INL Site.” The INL Land Use Committee agreed to conduct this unofficial review in the spirit of collaboration between DOE-ID and the INL Land Use Committee. However, through this cursory review, significant concerns were raised regarding the guidelines, INL financial obligations, and the draft Candidate Conservation Agreement, which was not part of the requested review but is referred to by the guideline. Therefore, it is the position of the INL Land Use Committee, based on the issues raised in its cursory review, that DOE-ID request INL (through contractual channels) to conduct a formal review of the draft Candidate Conservation Agreement and guidelines. A formal review would allow ample time to thoroughly review the extensive draft regulations, identify areas of concern, and establish impacts (e.g., cost and project delays).

  19. Monoterpene synthases from common sage (Salvia officinalis)

    DOE Patents [OSTI]

    Croteau, Rodney Bruce (Pullman, WA); Wise, Mitchell Lynn (Pullman, WA); Katahira, Eva Joy (Pullman, WA); Savage, Thomas Jonathan (Christchurch 5, NZ)

    1999-01-01T23:59:59.000Z

    cDNAs encoding (+)-bornyl diphosphate synthase, 1,8-cineole synthase and (+)-sabinene synthase from common sage (Salvia officinalis) have been isolated and sequenced, and the corresponding amino acid sequences has been determined. Accordingly, isolated DNA sequences (SEQ ID No:1; SEQ ID No:3 and SEQ ID No:5) are provided which code for the expression of (+)-bornyl diphosphate synthase (SEQ ID No:2), 1,8-cineole synthase (SEQ ID No:4) and (+)-sabinene synthase SEQ ID No:6), respectively, from sage (Salvia officinalis). In other aspects, replicable recombinant cloning vehicles are provided which code for (+)-bornyl diphosphate synthase, 1,8-cineole synthase or (+)-sabinene synthase, or for a base sequence sufficiently complementary to at least a portion of (+)-bornyl diphosphate synthase, 1,8-cineole synthase or (+)-sabinene synthase DNA or RNA to enable hybridization therewith. In yet other aspects, modified host cells are provided that have been transformed, transfected, infected and/or injected with a recombinant cloning vehicle and/or DNA sequence encoding (+)-bornyl diphosphate synthase, 1,8-cineole synthase or (+)-sabinene synthase. Thus, systems and methods are provided for the recombinant expression of the aforementioned recombinant monoterpene synthases that may be used to facilitate their production, isolation and purification in significant amounts. Recombinant (+)-bornyl diphosphate synthase, 1,8-cineole synthase and (+)-sabinene synthase may be used to obtain expression or enhanced expression of (+)-bornyl diphosphate synthase, 1,8-cineole synthase and (+)-sabinene synthase in plants in order to enhance the production of monoterpenoids, or may be otherwise employed for the regulation or expression of (+)-bornyl diphosphate synthase, 1,8-cineole synthase and (+)-sabinene synthase, or the production of their products.

  20. UNFCCC Negotiations in Cancun

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26 Date:CharterDepartmentDOE LM issued the FinalClimate Action

  1. THE CEBAF BEAM SCRAPING MONITOR* , J. Sage, M. Wissmann

    E-Print Network [OSTI]

    THE CEBAF BEAM SCRAPING MONITOR* T. Allison , J. Sage, M. Wissmann TJNAF, Newport News, VA 23606's Continuous Electron Beam Accelerator Facility (CEBAF). The BSM acts as an early warning system that alerts CEBAF operators when the beam loss exceeds 10 to 20 nA. This allows the CEBAF operators to adjust

  2. Sage-Grouse and Wind Energy: Biology, Habits, and Potential Effects from Development

    SciTech Connect (OSTI)

    Becker, James M.; Tagestad, Jerry D.; Duberstein, Corey A.; Downs, Janelle L.

    2009-07-15T23:59:59.000Z

    Proposed development of domestic energy resources, including wind energy, is expected to impact the sagebrush steppe ecosystem in the western United States. The greater sage-grouse relies on habitats within this ecosystem for survival, yet very little is known about how wind energy development may affect sage-grouse. The purpose of this report is to inform organizations of the impacts wind energy development could have on greater sage-grouse populations and identify information needed to fill gaps in knowledge.

  3. Model Examines Cumulative Impacts of Wind Energy Development...

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

    an area that currently supports important populations of greater sage-grouse and has high wind energy development potential. This early model prototype demonstrated the utility of...

  4. Bulletin of Science, Technology & Society. Vol. 22, No. 2 April 2002, 123-131 Copyright 2002 Sage Publications

    E-Print Network [OSTI]

    Delaware, University of

    Sage Publications : Renewable Energy for Rural Sustainability: Lessons from China Aiming Zhou John - , , . - - , , . , 5 , , 1). ( 500 ) , ` (Rural Renewable Energy ( ) . . , ( , ) . (Center for Energy and Environmental Policy) 8 , . : , , , (Byrne & Rich

  5. HumanWildlife Interactions 8(2):284290, Fall 2014 Oil and gas impacts on Wyoming's sage-

    E-Print Network [OSTI]

    Human­Wildlife Interactions 8(2):284­290, Fall 2014 Oil and gas impacts on Wyoming's sage- grouse: Historical impacts from oil and gas development to greater sage-grouse (Centrocercus urophasianus) habitat been extrapolated to estimate future oil and gas impacts in the U. S. Fish and Wildlife Service (2010

  6. The Marx-Weber Debate, edited by Norbert Wiley (Newbury Park, CA: Sage Publications, 1987)

    E-Print Network [OSTI]

    Rejaie, Reza

    The Marx-Weber Debate, edited by Norbert Wiley (Newbury Park, CA: Sage Publications, 1987) Chapter 3 THE NEO-MARXIST SYNTHESIS OF MARX AND WEBER ON CLASS VAL BURRIS University of Oregon IT HAS OFTEN BEEN COMMENTED that the bulk of Weber's sociology represents a prolonged "dialogue with the ghost

  7. The SOLAS airsea gas exchange experiment (SAGE) 2004 Mike J. Harvey a,n

    E-Print Network [OSTI]

    Ho, David

    The SOLAS air­sea gas exchange experiment (SAGE) 2004 Mike J. Harvey a,n , Cliff S. Law a , Murray­sea gas exchange Iron fertilisation Ocean biogeochemistry SOLAS a b s t r a c t The SOLAS air­sea gas

  8. SAGE II long-term measurements of stratospheric and upper tropospheric aerosols

    SciTech Connect (OSTI)

    Wang, P.H.; Kent, G.S. [Science and Technology Corp., Hampton, VA (United States); McCormick, M.P.; Thomason, L.W. [NASA Langley Research Center, Hampton, VA (United States). Atmospheric Sciences Div.

    1995-12-31T23:59:59.000Z

    The Stratospheric Aerosol and Gas Experiment (SAGE) II solar occultation instrument has been making measurements on stratospheric aerosols and gases continually since October 1984. Observations from the SAGE II instrument provide a valuable long-term data set for study of the aerosol in the stratosphere and aerosol and cloud in the upper troposphere. The period of observation covers the decay phase of material injected by the El Chichon volcanic eruption in 1982, the years 1988--1990 when stratospheric aerosol levels approached background levels, and the period after the eruption of Mount Pinatubo in 1991. The Mount Pinatubo eruption caused the largest perturbation in stratospheric aerosol loading in this century, with effects on stratospheric dynamics and chemistry. The SAGE II data sequence shows the global dispersion of aerosols following the Mount Pinatubo eruption, as well as the changes occurring in stratospheric aerosol mass and surface area. The downward transfer of stratospheric aerosols into the upper troposphere following the earlier eruption of El Chichon is clearly visible. Estimates have been made of the amount of volcanic material lying in the upper troposphere and the way in which this varies with latitude and season.

  9. COMPLETION REPORT Identifying Habitats for Greater Sage-Grouse Population

    E-Print Network [OSTI]

    Beck, Jeffrey L.

    ,093 km2 Atlantic Rim Project Area (ARPA) of south-central, Wyoming, which is being developed for coalbed methane natural gas (CBNG) resources. To reach our objective we modeled habitat selection, as resource

  10. Poster Session--Fuel Consumption During Prescribed Fires in Big Sage--Wright, Ottmar USDA Forest Service Gen. Tech. Rep. PSW-GTR-189. 2008. 363

    E-Print Network [OSTI]

    Standiford, Richard B.

    Poster Session--Fuel Consumption During Prescribed Fires in Big Sage--Wright, Ottmar USDA Forest Service Gen. Tech. Rep. PSW-GTR-189. 2008. 363 Fuel Consumption During Prescribed Fires in Big Sage Ecosystems1 Clinton S. Wright2 and Roger D. Ottmar2 Introduction Fuel consumption was evaluated for a series

  11. International equity and ethics UNFCCC preamble

    E-Print Network [OSTI]

    Green, Donna

    global action is needed to enable developing countries to adapt to the effects of climate change of climate change calls for the widest possible cooperation by all countries and their participation decades, it is predicted that billions of people, particularly those in developing countries, face

  12. UNFCCC-Mitigation Assessments | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development ReportsAssessments Jump to:

  13. UNFCCC-Finance Portal | 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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov PtyInformation UC 19-6-401 et seq. - UtahAsia Climate Change Network Jump

  14. Spitzer Survey of the Large Magellanic Cloud, Surveying the Agents of a Galaxy's Evolution (SAGE) I: Overview and Initial Results

    E-Print Network [OSTI]

    Margaret Meixner; Karl D. Gordon; Remy Indebetouw; Joseph L. Hora; Barbara Whitney; Robert Blum; William Reach; Jean-Philippe Bernard; Marilyn Meade; Brian Babler; Charles W. Engelbracht; Bi-Qing For; Karl Misselt; Uma Vijh; Claus Leitherer; Martin Cohen; Ed B. Churchwell; Francois Boulanger; Jay A. Frogel; Yasuo Fukui; Jay Gallagher; Varoujan Gorjian; Jason Harris; Douglas Kelly; Akiko Kawamura; SoYoung Kim; William B. Latter; Suzanne Madden; Ciska Markwick-Kemper; Akira Mizuno; Norikazu Mizuno; Jeremy Mould; Antonella Nota; M. S. Oey; Knut Olsen; Toshikazu Onishi; Roberta Paladini; Nino Panagia; Pablo Perez-Gonzalez; Hiroshi Shibai; Sato Shuji; Linda Smith; Lister Staveley-Smith; A. G. G. M. Tielens; Toshiya Ueta; Schuyler Van Dyk; Kevin Volk; Michael Werner; Dennis Zaritsky

    2006-06-14T23:59:59.000Z

    We are performing a uniform and unbiased, ~7x7 degrees imaging survey of the Large Magellanic Cloud (LMC), using the IRAC and MIPS instruments on board the Spitzer Space Telescope in order to survey the agents of a galaxy's evolution (SAGE), the interstellar medium (ISM) and stars in the LMC. The detection of diffuse ISM with column densities >1.2x10^21 H cm^-2 permits detailed studies of dust processes in the ISM. SAGE's point source sensitivity enables a complete census of newly formed stars with masses >3 solar masses that will determine the current star formation rate in the LMC. SAGE's detection of evolved stars with mass loss rates >1x10^-8 solar masses per year will quantify the rate at which evolved stars inject mass into the ISM of the LMC. The observing strategy includes two epochs in 2005, separated by three months, that both mitigate instrumental artifacts and constrain source variability. The SAGE data are non-proprietary. The data processing includes IRAC and MIPS pipelines and a database for mining the point source catalogs, which will be released to the community in support of Spitzer proposal cycles 4 and 5. We present initial results on the epoch 1 data with a special focus on the N79 and N83 region. The SAGE epoch 1 point source catalog has ~4 million sources. The point source counts are highest for the IRAC 3.6 microns band and decrease dramatically towards longer wavelengths consistent with the fact that stars dominate the point source catalogs and that the dusty objects, e.g. young stellar objects and dusty evolved stars that detected at the longer wavelengths, are rare in comparison. We outline a strategy for identifying foreground MW stars, that may comprise as much as 18% of the source list, and background galaxies, that may comprise ~12% of the source list.

  15. About SAGE

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)Productssondeadjustsondeadjust DocumentationARMStreamsUSBudgetEnterpriseFermilab

  16. Greater Sage-Grouse Habitat Use and Population Demographics at the Simpson Ridge Wind Resource Area, Carbon County, Wyoming

    SciTech Connect (OSTI)

    Gregory D. Johnson; Chad W. LeBeau; Ryan Nielsen; Troy Rintz; Jamey Eddy; Matt Holloran

    2012-03-27T23:59:59.000Z

    This study was conducted to obtain baseline data on use of the proposed Simpson Ridge Wind Resource Area (SRWRA) in Carbon County, Wyoming by greater sage-grouse. The first two study years were designed to determine pre-construction seasonally selected habitats and population-level vital rates (productivity and survival). The presence of an existing wind energy facility in the project area, the PacifiCorp Seven Mile Hill (SMH) project, allowed us to obtain some information on initial sage-grouse response to wind turbines the first two years following construction. To our knowledge these are the first quantitative data on sage-grouse response to an existing wind energy development. This report presents results of the first two study years (April 1, 2009 through March 30, 2011). This study was selected for continued funding by the National Wind Coordinating Collaborative Sage-Grouse Collaborative (NWCC-SGC) and has been ongoing since March 30, 2011. Future reports summarizing results of this research will be distributed through the NWCC-SGC. To investigate population trends through time, we determined the distribution and numbers of males using leks throughout the study area, which included a 4-mile radius buffer around the SRWRA. Over the 2-year study, 116 female greater sage-grouse were captured by spotlighting and use of hoop nets on roosts surrounding leks during the breeding period. Radio marked birds were located anywhere from twice a week to once a month, depending on season. All radio-locations were classified to season. We developed predictor variables used to predict success of fitness parameters and relative probability of habitat selection within the SRWRA and SMH study areas. Anthropogenic features included paved highways, overhead transmission lines, wind turbines and turbine access roads. Environmental variables included vegetation and topography features. Home ranges were estimated using a kernel density estimator. We developed resource selection functions (RSF) to estimate probability of selection within the SRWRA and SMH. Fourteen active greater sage-grouse leks were documented during lek surveys Mean lek size decreased from 37 in 2008 to 22 in 2010. Four leks located 0.61, 1.3, 1.4 and 2.5 km from the nearest wind turbine remained active throughout the study, but the total number of males counted on these four leks decreased from 162 the first year prior to construction (2008), to 97 in 2010. Similar lek declines were noted in regional leks not associated with wind energy development throughout Carbon County. We obtained 2,659 sage-grouse locations from radio-equipped females, which were used to map use of each project area by season. The sage-grouse populations within both study areas are relatively non-migratory, as radio-marked sage-grouse used similar areas during all annual life cycles. Potential impacts to sage-grouse from wind energy infrastructure are not well understood. The data rom this study provide insight into the early interactions of wind energy infrastructure and sage-grouse. Nest success and brood-rearing success were not statistically different between areas with and without wind energy development in the short-term. Nest success also was not influenced by anthropogenic features such as turbines in the short-term. Additionally, female survival was similar among both study areas, suggesting wind energy infrastructure was not impacting female survival in the short-term; however, further analysis is needed to identify habitats with different levels of risk to better understand the impact of wind enregy development on survival. Nest and brood-rearing habitat selection were not influenced by turbines in the short-term; however, summer habitat selection occurred within habitats closer to wind turbines. Major roads were avoided in both study areas and during most of the seasons. The impact of transmission lines varied among study areas, suggesting other landscape features may be influencing selection. The data provided in this report are preliminary and are not meant to provide a basis for fo

  17. Spitzer SAGE survey of the Large Magellanic Cloud II: Evolved Stars and Infrared Color Magnitude Diagrams

    E-Print Network [OSTI]

    R. D. Blum; J. R. Mould; K. A. Olsen; J. A. Frogel; M. Werner; M. Meixner; F. Markwick-Kemper; R. Indebetouw; B. Whitney; M. Meade; B. Babler; E. B. Churchwell; K. Gordon; C. Engelbracht; B. -Q. For; K. Misselt; U. Vijh; C. Leitherer; K. Volk; S. Points; W. Reach; J. L. Hora; J. -P. Bernard; F. Boulanger; S. Bracker; M. Cohen; Y. Fukui; J. Gallagher; V. Gorjian; J. Harris; D. Kelly; A. Kawamura; W. B. Latter; S. Madden; A. Mizuno; N. Mizuno; A. Nota; M. S. Oey; T. Onishi; R. Paladini; N. Panagia; P. Perez-Gonzalez; H. Shibai; S. Sato; L. Smith; L. Staveley-Smith; A. G. G. M. Tielens; T. Ueta; S. Van Dyk; D. Zaritsky

    2006-08-08T23:59:59.000Z

    Color-magnitude diagrams (CMDs) are presented for the Spitzer SAGE (Surveying the Agents of a Galaxy's Evolution) survey of the Large Magellanic Cloud (LMC). IRAC and MIPS 24 um epoch one data are presented. These data represent the deepest, widest mid-infrared CMDs of their kind ever produced in the LMC. Combined with the 2MASS survey, the diagrams are used to delineate the evolved stellar populations in the Large Magellanic Cloud as well as Galactic foreground and extragalactic background populations. Some 32000 evolved stars brighter than the tip of the red giant branch are identified. Of these, approximately 17500 are classified as oxygen-rich, 7000 carbon-rich, and another 1200 as ``extreme'' asymptotic giant branch (AGB) stars. Brighter members of the latter group have been called ``obscured'' AGB stars in the literature owing to their dusty circumstellar envelopes. A large number (1200) of luminous oxygen--rich AGB stars/M supergiants are also identified. Finally, there is strong evidence from the 24 um MIPS channel that previously unexplored, lower luminosity oxygen-rich AGB stars contribute significantly to the mass loss budget of the LMC (1200 such sources are identified).

  18. Gray, W. D., Schoelles, M. J., Bringsjord, S. A., Burrows, K., & Colder, B. (2003). Sage: Five powerful ideas for studying and transforming the intellligence analyst's task environment, Human Factors and Ergonomics Society (pp. 1019-1023).

    E-Print Network [OSTI]

    Gray, Wayne

    /brings/schoem]@rpi.edu Kirk Burrows, & Brian Colder Booz Allen Hamilton [burrows_kirk/colder_brian]@bah.com Sage provides Hamilton (Booz Allen) which teamed with Planet 9 Studios and Rensselaer Polytechnic Institute to help make efforts while contributing innovative and creative research of its own. Sage is the vision of Booz Allen

  19. Examining the Infrared Variable Star Population Discovered in the Small Magellanic Cloud Using the SAGE-SMC Survey

    E-Print Network [OSTI]

    Polsdofer, Elizabeth; Sewilo, Marta; Vijh, Uma; Meixner, Margaret; Marengo, Massimo; Terrazas, Maverick

    2015-01-01T23:59:59.000Z

    We present our study on the infrared variability of point sources in the Small Magellanic Cloud (SMC). We use the data from the Spitzer Space Telescope Legacy Program "Surveying the Agents of Galaxy Evolution in the Tidally Stripped, Low Metallicity Small Magellanic Cloud" (SAGE-SMC) and the "Spitzer Survey of the Small Magellanic Cloud" (S$^{3}$MC) survey, over three different epochs, separated by several months to three years. Variability in the thermal infrared is identified using a combination of Spitzer's IRAC 3.6, 4.5, 5.8, and 8.0 $\\mu$m bands, and the MIPS 24 $\\mu$m band. An error-weighted flux difference between each pair of three epochs ("variability index") is used to assess the variability of each source. A visual source inspection is used to validate the photometry and image quality. Out of $\\sim$2 million sources in the SAGE-SMC catalog, 814 meet our variability criteria. We matched the list of variable star candidates to the catalogs of SMC sources classified with other methods, available in th...

  20. 10/1/10 8:07 PMDesert Varnish : Encyclopedia of Geography Page 1 of 4http://www.sage-ereference.com/geography/Article_n276.html

    E-Print Network [OSTI]

    Dorn, Ron

    categories of rock coatings Source: Author. Liu and other researchers in different settings://www.sage-ereference.com/geography/Article_n276.html Desert Varnish Desert varnish is but one of more than a dozen rock coatings (Table 1) that drastically alter the appearance of rock surfaces. The better term is rock varnish because this coating occurs

  1. Learning temporal structure for task based control Kingsley Sage a,*, A. Jonathan Howell a

    E-Print Network [OSTI]

    Trahanias, Panos

    's internal models is shown to help the tracker deal with mid-term occlusion. We also show that VLMMs can Markov models (VLMMs) to allow for modelling of continuous input data and show that the generative to support expectation in task-based control using these behavioural models. The hand tracker forms a part

  2. Strengthening Clean Energy Technology Cooperation under the UNFCCC | Open

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop, Inc Place: MissouriPrograms | OpenSEI) JumpTexasOpen

  3. UNFCCC Individual Reviews of GHG Inventories | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNF Energyof GHG

  4. UNFCCC-Consolidated baseline and monitoring methodology for landfill gas

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNF Energyof

  5. UNFCCC-GHG Inventory Data | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNF

  6. UNFCCC-GHG Inventory Data | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNFData) Jump to:

  7. UNFCCC-GHG Inventory Methodological Documents and Training Materials | Open

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNFData) Jump

  8. UNFCCC-GHG Inventory Methodological Documents and Training Materials | Open

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNFData) JumpEnergy

  9. UNFCCC-GHG Inventory Review Training Program | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNFData)

  10. UNFCCC-GHG Inventory Review Training Program | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports JumpUNFData)inventory

  11. UNFCCC-Global Map-Annex 1 | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development Reports

  12. UNFCCC/UNEP-Risoe CDM Bazaar | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to:Development ReportsAssessments Jump

  13. Transport NAMA submissions to the UNFCCC: Domestic frameworks | Open Energy

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty LtdSteen,LtdInformation Dixie ValleyLibrary <NAMA Database Jump

  14. s the sage grouse gather on the Wyoming prairie to find mates this

    E-Print Network [OSTI]

    Patricelli, Gail

    ,hebuiltamechanicallycon- trolled honeybee of wax-coated brass to help him decode the insects' dances, which tell others in the hive-con- trolled model not only turns and makes provocative crouching movements, it is also equipped with video

  15. Time Variations of the Solar Neutrino Flux Data from Sage and Gallex-Gno Detectors Obtained by Rayleigh Power Spectrum Analysis

    E-Print Network [OSTI]

    Koushik Ghosh; Probhas Raychaudhuri

    2006-06-05T23:59:59.000Z

    We have used Rayleigh power spectrum analysis of the monthly solar neutrino flux data from (1) SAGE detector during the period from 1st January 1990 to 31st December 2000; (2) SAGE detector during the period from April 1998 to December 2001; (3) GALLEX detector during the period from May 1991 to January 1997; (4) GNO detector during the period from May 1998 to December 2001; (5) GALLEX-GNO detector (combined data) from May 1991 to December 2001 and (6) average of the data from GNO and SAGE detectors during the period from May 1998 to December 2001. (1) exhibits periodicity around 1.3, 4.3, 5.5, 6.3, 7.9, 8.7, 15.9, 18.7, 23.9, 32.9 and 48.7 months. (2) shows periodicity around 1.5, 2.9, 4.5, 10.1 months. For (3) we observe periodicity around 1.7, 18.7 and 26.9 months. For (4) periodicity is seen around 3.5, 5.5, 7.7 and 10.5 months. (5) gives periodicity around 1.7, 18.5, 28.5 and 42.1 months while (6) shows periodicity around 4.3, 6.9, 10.3 and 18.1 months. We have found almost similar periods in the solar flares, sunspot data, solar proton data which indicates that the solar activity cycle may be due to the variable character of nuclear energy generation inside the sun.

  16. Modeling the Uncertain Future of a Threatened Habitat: Climate Change and Urban Growth in California Sage Scrub

    E-Print Network [OSTI]

    Riordan, Erin Coulter

    2013-01-01T23:59:59.000Z

    Plant endemism and natural protected areas in the peninsulaPlant endemism and natural protected areas in the peninsula

  17. Modeling the Uncertain Future of a Threatened Habitat: Climate Change and Urban Growth in California Sage Scrub

    E-Print Network [OSTI]

    Riordan, Erin Coulter

    2013-01-01T23:59:59.000Z

    Under projected climate change, mediterranean-climate in theland use and climate change in mediterranean regions,TO PROJECTED CLIMATE CHANGE IN A THREATENED, MEDITERRANEAN-

  18. The status of the solar neutrino problem and the Russian-American gallium experiment (SAGE)

    SciTech Connect (OSTI)

    Bowles, T.J.

    1994-04-01T23:59:59.000Z

    Perhaps the most outstanding discrepancy between prediction and measurements in current particle physics comes from the solar neutrino problem, in which a large deficit of high-energy solar neutrinos is observed. Many Nonstandard Solar Models have been invoked to try to reduce the predicted flux, but all have run into problems in trying to reproduce other measured parameters (e.g., the luminosity) of the Sun. Other explanations involving new physics such as neutrino decay and neutrino oscillations, etc. have also been proffered. Again, most of these explanations have been ruled out by either laboratory or astrophysical measurements. It appears that perhaps the most likely particle physics solution is that of matter enhanced neutrino oscillation, the Mikheyev-Smirnov-Wolfenstein (MSW) oscillations. Two new radiochemical gallium experiments, which have a low enough threshold to be sensitive to the dominant flux of low-energy p-p neutrinos, now also report a deficit and also favor a particle physics solution.

  19. Who qualifies for SAGE

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

    University Professional Staff Assistant Georgia Sanchez (505) 665-0855 Potential REU students who are U.S. citizens or permanent residents and who will have completed...

  20. SAGE Past Programs

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

    her, plants geophones for a seismic reflection survey. The survey, which used a Vibroseis source, provided information on depth to various rock units. Data from the survey were...

  1. SAGE Application Process

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 Resource

  2. SAGE mission to Venus

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »SubmitterJ.Running onRyanReactions aroundSSAGE

  3. Who qualifies for SAGE

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and MaterialsWenjun DengWISP SignInWho do I contact at the

  4. Sandia National Laboratories: SAGE

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik SpoerkeSolarCybernetics: DynamicCybernetics: WeighBlade

  5. United Nations Framework Convention on Climate Change. Convention on climate change. http://www.unfccc.de/resource/conv/index.html UNFCCC

    E-Print Network [OSTI]

    Unfccc Unfccc

    1992-01-01T23:59:59.000Z

    The spectre of climate change that is unfolding now is undeniably a cumulative impact of anthropogenic interference in the climate system over the last two centuries. The science is clear and the policy community is being increasingly convinced and galvanised into action to address this emergent challenge in light of the associated economic and human dimensions. The impacts of climate change ranging from sea level rise, melting ice caps and glaciers, severe weather events, drought, flooding, warming, subtle changes in ecosystems – will impinge on every aspect of society and economic life. The costs of inaction will more than outweigh the costs of action. There is only a narrow window of opportunity to redress the situation. The Intergovernmental Panel on Climate Change (IPCC) in its Fourth Assessment Report has

  6. Science Communication 2013 SAGE Publications

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    , science communication, climate change, survey, Germany Climate change has been on the political agenda to geography, economics, and communications. They all contribute to the description of climate change and its, is disputed. Climate change has become "a deeply at UNIV OF COLORADO LIBRARIES on June 2, 2013scx

  7. Sage Resources | 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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, searchVirginiaRooseveltVI Solar PowerSaft Power Systems JumpSagaponack,

  8. Adaptation Options for Agriculture, Forestry and Fisheries. A Report to the UNFCCC Secretariat

    E-Print Network [OSTI]

    McCarl, Bruce A.

    Climate change effects on agriculture, forestry, and fisheries...................................12 3 adaptation employed to offset climate change effects in an agricultural, forest and fisheries (AFF 4 Basic forms of Climate change adaptation

  9. Modeling

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

    an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical...

  10. Modeling

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

    a single-fluid diffuse interface model in the ALE-AMR hydrodynamics code to simulate surface tension effects. We show simula- tions and compare them to other surface tension...

  11. Modeling

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

    sion effects. We show the result of a test case, and compare it to the result without surface tension. The model describes droplet formation nicely. Application The ARRA-funded...

  12. Modelling

    E-Print Network [OSTI]

    Spädtke, P

    2013-01-01T23:59:59.000Z

    Modeling of technical machines became a standard technique since computer became powerful enough to handle the amount of data relevant to the specific system. Simulation of an existing physical device requires the knowledge of all relevant quantities. Electric fields given by the surrounding boundary as well as magnetic fields caused by coils or permanent magnets have to be known. Internal sources for both fields are sometimes taken into account, such as space charge forces or the internal magnetic field of a moving bunch of charged particles. Used solver routines are briefly described and some bench-marking is shown to estimate necessary computing times for different problems. Different types of charged particle sources will be shown together with a suitable model to describe the physical model. Electron guns are covered as well as different ion sources (volume ion sources, laser ion sources, Penning ion sources, electron resonance ion sources, and H$^-$-sources) together with some remarks on beam transport.

  13. Informing proposed international UNFCCC technology mechanisms from the ground up : using biogas technology in South Africa as a case study to evaluate the usefulness of potential elements of an international technology agreement in the UNFCCC negotiations process.

    E-Print Network [OSTI]

    Boyd, Anya.

    2010-01-01T23:59:59.000Z

    ??Includes abstract. One approach to tackling the issue of the increasing contribution of developing countries to global emissions is through the large scale transfer of… (more)

  14. SAGE, Summer of Applied Geophysical Experience

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

    program . Description teaches modern geophysical exploration techniques: seismic reflection and refraction, gravity and magnetics, electromagnetics (including...

  15. SAGE, Summer of Applied Geophysical Experience

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

    to merge their data into a broader picture. The techniques used for this project were seismic refraction reflection (using a Vibroseis source), gravity, and electromagnetics...

  16. SAGE, Summer of Applied Geophysical Experience

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »SubmitterJ.Running onRyanReactions

  17. Silver Sage Wind Farm | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g Grant ofRichardton AbbeyARaftPadomaSierraSilver Peak

  18. EA-1645: Sage Electrochromics SageGlass High Volume Manufacturing Facility

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy CooperationRequirements Matrix U.S.7685 Vol. 76, No.5-FEB.Draft

  19. Simulation of High Efficiency Clean Combustion Engines and Detailed...

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

    SAGE Map - I Map - II (K) Multi-zone model in CONVERGE shows very good agreement between spatial and temporal temperature evolution 23 Lawrence Livermore National Laboratory...

  20. Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China

    E-Print Network [OSTI]

    Price, Lynn

    2010-01-01T23:59:59.000Z

    UNFCCC), 2007 b. Energy efficiency measures at cementUNFCCC), 2007 c. Energy efficiency measures at cementBanerjee, R. , 2005. Energy Efficiency and Demand Side

  1. Anirban Basu Chairman & CEO, Sage Policy Group, Inc.

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

    economist to Associated Builders and Contractors (national) and as chief economic advisor to the Construction Financial Management Association. In recent years, he has also...

  2. Root Finding Methods 1 using pylab, numpy, sympy, and Sage

    E-Print Network [OSTI]

    Verschelde, Jan

    Software (MCS 507 L-13) Root Finding Methods 25 September 2013 2 / 45 #12;polynomials with ipython --pylab-15 -2.44249065e-15j, -2.22044605e-16 +0.00000000e+00j]) By default, all objects in ipython --pylab

  3. SAGE-Hindawi Access to Research Advances in Orthopedics

    E-Print Network [OSTI]

    Azad, Abdul-Majeed

    on titanium were grown by hydrothermal processing in one case and by anodization in the presence of dilute" titanium (cp Ti) coupons and implants. The methods included hydrothermal processing under different

  4. DOE Offers $72 Million Conditional Loan Guarantee to SAGE Electrochromics |

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomenthe HouseStudents2.2at MultipleorderNuclear Plants

  5. Anirban Basu Chairman & CEO, Sage Policy Group, Inc.

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South42.2 (April 2012) 1 DocumentationAnalysis ofDepartment ofAndreaAndy

  6. BLM - Sage-Grouse and Sagebrush Conservation webpage | Open Energy

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 EastMaine: EnergyAustin Energy Place: TexasAvoyellesdeA SBIOPARSolar0Information

  7. DOE prepared for Greater Sage-Grouse designation

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganization FYBeauTransition Documentsfor fourSignatureas a

  8. Economic Environment - Arniban Basu, Chairman & CEO, Sage Policy Group,

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program - LibbyofThisStatement Tuesday, SeptemberofEbony MeeksMuscle

  9. Thinking outside the halo: Tracing the large-scale distribution of diffuse cosmic metals with semi-analytic models

    E-Print Network [OSTI]

    Shattow, Genevieve M; Bibiano, Antonio

    2015-01-01T23:59:59.000Z

    With the installation of the Cosmic Origins Spectrograph on the Hubble Space Telescope, measurements of the metal content of the low redshift intergalactic medium (IGM) are now available. Using a new grid-based model for diffuse gas coupled to the SAGE semi-analytic model of galaxy formation, we examine the impact of supernova feedback on the pollution of the IGM. We consider different assumptions for the reheating and ejection of gas by supernovae and their dependence on galaxy circular velocity and gas surface density. Where metals are present, we find the most likely metallicity to be $-1.5 < $log$_{10}$(Z/Z$_{\\odot}$)$< -1.0$ at $z = 0$, consistent with both observations and more sophisticated hydrodynamic simulations. Our model predicts that the regions of the IGM with the highest metallicities will be near galaxies with M$_{\\star} \\sim 10^{10.5}h^{-1}$M$_{\\odot}$ and in environments of densities $\\sim 10 \\times$ the mean. We also find that 90% of IGM metals at $z = 0$ are ejected by galaxies with ...

  10. Basic model Basic model

    E-Print Network [OSTI]

    Liu, I-Shih

    Early days Basic model Literature Classical literature Bayes pre-MCMC Bayes post-MCMC Basic model systems via latent factors Hedibert Freitas Lopes Booth School of Business University of Chicago Col / 66 #12;Early days Basic model Literature Classical literature Bayes pre-MCMC Bayes post-MCMC Basic

  11. Queuing models System dynamics models

    E-Print Network [OSTI]

    Glushko, Robert J.

    models Value chain models Business Model / Organizational Perspective Process Perspective Information#12;#12;#12;#12;Queuing models System dynamics models #12;#12;#12;#12;Blueprint or touchpoint

  12. SAND_ModelFormUQ.dvi

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A National8250Impacts0972-1905]{'/cj

  13. EA-1645: Finding of No Significant Impact

    Broader source: Energy.gov [DOE]

    Loan Guarantee for Sage Electrochromics SageGlass High Volume Manufacturing Facility in Faribault, MN

  14. Lifecycle Model

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

    1997-05-21T23:59:59.000Z

    This chapter describes the lifecycle model used for the Departmental software engineering methodology.

  15. Modeling Transformation

    E-Print Network [OSTI]

    Rose, Michael R.

    Modeling Transformation What does each step do? #12;Transformation Procedure #12;Transformation Procedure #12;Building Your Model Yarn = chromosomal DNA Beads - - - - - - - - - - - - - - Ribosomes #12;Add transformation solution Tube CaCl2 #12;Transformation solution: CaCl2

  16. Comparing synthetic aperture radar and LiDAR for above-ground biomass estimation in Glen Affric, Scotland 

    E-Print Network [OSTI]

    Tan, Chue Poh

    2012-06-25T23:59:59.000Z

    Quantifying above-ground biomass (AGB) and carbon sequestration has been a significant focus of attention within the UNFCCC and Kyoto Protocol for improvement of national carbon accounting systems (IPCC, 2007; UNFCCC, ...

  17. Constructing and Testinga Multiple-Theory (Integrated) Model of Juvenile Delinquency

    E-Print Network [OSTI]

    Edwards, Willie J.

    1993-01-01T23:59:59.000Z

    of Chicago Press. Elliott, Delbert S., David Huizinga and Suzanne S. Ageton. 1985. Explaining Delinquency and Drug Use. Beverly Hills: Sage Publications. Fagan, Jeffrey and Sandra Wexler. 1987. "Family Orgins of Violent Delinquents." Criminology 25...:643-669. Farina, Amerigo, Donald Gliha, Louis A. Boudreau, Jon G. Allen and Mark Sherman. 1971. "Mental Illness and the Impact of Believing Others Know About It" Journal ofAbnormal Psychology 36:169-182. Farrington, David P., Stan G. Osborn, and Donald J. Wesl1978...

  18. PREDICTIVE MODELS

    SciTech Connect (OSTI)

    Ray, R.M. (DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States))

    1988-10-01T23:59:59.000Z

    PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding; 2) carbon dioxide miscible flooding; 3) in-situ combustion; 4) polymer flooding; and 5) steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

  19. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01T23:59:59.000Z

    The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

  20. Programming models

    SciTech Connect (OSTI)

    Daniel, David J [Los Alamos National Laboratory; Mc Pherson, Allen [Los Alamos National Laboratory; Thorp, John R [Los Alamos National Laboratory; Barrett, Richard [SNL; Clay, Robert [SNL; De Supinski, Bronis [LLNL; Dube, Evi [LLNL; Heroux, Mike [SNL; Janssen, Curtis [SNL; Langer, Steve [LLNL; Laros, Jim [SNL

    2011-01-14T23:59:59.000Z

    A programming model is a set of software technologies that support the expression of algorithms and provide applications with an abstract representation of the capabilities of the underlying hardware architecture. The primary goals are productivity, portability and performance.

  1. Modeling Quality Information within Business Process Models

    E-Print Network [OSTI]

    Paech, Barbara

    Modeling Quality Information within Business Process Models Robert Heinrich, Alexander Kappe. Business process models are a useful means to document information about structure and behavior literature and tool survey on modeling quality information within business process models. Keywords: Business

  2. PREDICTIVE MODELS

    SciTech Connect (OSTI)

    Ray, R.M. (DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States))

    1986-12-01T23:59:59.000Z

    PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2) carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3) in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4) polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5) steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

  3. Model systems This year's model

    E-Print Network [OSTI]

    Raines, Ronald T.

    @biochem.wisc.edu RTR received ScB degrees in chemistry and biology from the Massachusetts Institute of Technology that initially inspired the chemical simplification. In such cases, the later stages of model studies can seem

  4. Distribution, Abundance, and Status of the Greater Sage-Grouse, Centrocercus urophasianus, in Canada

    E-Print Network [OSTI]

    Aldridge, Cameron

    , in Canada CAMERON L. ALDRIDGE1,2 and R. MARK BRIGHAM Department of Biology, University of Regina, Regina, Saskatchewan S4S 0A2 Canada 1Corresponding Author's e-mail: aldridge@ualberta.ca 2Current Address: Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9 Canada Aldridge, Cameron L., and R

  5. 1340 The Leading Edge October 2008 SAGE celebrates 25 years of learning geophysics by

    E-Print Network [OSTI]

    geophysics The increasing world demand and record-high costs for energy and mineral resources, along to unprecedented levels. This is not only a national need; it's a critical global need. As Earth scientists sites, and studying subsurface structure and water resources of the Rio Grande rift near Santa Fe, New

  6. Systematics and Ethnobotany of Salvia Subgenus Calosphace and Origins of the Hallucinogenic Sage, Salvia divinorum

    E-Print Network [OSTI]

    Jenks, Aaron Allon

    2008-01-01T23:59:59.000Z

    endemic to the island of Hispaniola (10 spp), for which weupon the islands of Hispaniola (Haiti and the Dominicanendemic to the island of Hispaniola. Staminal Evolution in

  7. Retrieval of ozone and nitrogen dioxide concentrations from Stratospheric Aerosol and Gas Experiment III (SAGE III)

    E-Print Network [OSTI]

    Retrieval of ozone and nitrogen dioxide concentrations from Stratospheric Aerosol and Gas extinction. We retrieve ozone and nitrogen dioxide number densities and aerosol extinction from transmission), Retrieval of ozone and nitrogen dioxide concentrations from Stratospheric Aerosol and Gas Experiment III

  8. Organization Studies 2004 25(1): 7593 Copyright 2003 SAGE Publications

    E-Print Network [OSTI]

    Sheldon, Nathan D.

    Public Management (NPM) within the board of a UK Hospital Trust: West London Hospital (WLH). We discuss of implementing NPM. But we will also be drawing on discourse theory and the literature on rhetoric. The main argument in this article is that in order to understand the reality of the NPM paradigm, we need to study

  9. Systematics and Ethnobotany of Salvia Subgenus Calosphace and Origins of the Hallucinogenic Sage, Salvia divinorum

    E-Print Network [OSTI]

    Jenks, Aaron Allon

    2008-01-01T23:59:59.000Z

    and sun, with Cecropia, Jatropha, Iresine, Chamaedorea, infiltered sunlight, with Jatropha, Cecropia, Siparune, Piper,

  10. Global Stewards Sustainability Prize (GSSP) GSSP is sponsored by SAGE and the Global Stewards Society.

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    Foods: iPhone & Android apps for choosing less carbon-intensive foods (snowshoefood.com) · Jatropha Coco

  11. Identifying Local Minima in the Liquidus Surface Using the FactSage ...

    E-Print Network [OSTI]

    Sebastien Le Digabel

    2010-12-21T23:59:59.000Z

    as amorphous alloys or solders for metallic systems, and electrical batteries or thermal energy storage for salt systems. The experimental determination of low ...

  12. Systematics and Ethnobotany of Salvia Subgenus Calosphace and Origins of the Hallucinogenic Sage, Salvia divinorum

    E-Print Network [OSTI]

    Jenks, Aaron Allon

    2008-01-01T23:59:59.000Z

    Revista latinoamericana de química. 25(1): 14-16. Ferreyra,Latinoamericana de Quimica. 5: 41-53 (Chemial abstracts 83,

  13. Published in Bulletin of Science, Technology & Society 31(4) 296302 2011 SAGE Publications

    E-Print Network [OSTI]

    Salt, Alec N.

    component of wind turbine noise is demonstrated in recordings of the sound in a home with GE 1.5 MW wind's Manuscript Infrasound from Wind Turbines Could Affect Humans Alec N. Salt1 and James A. Kaltenbach2 1-1618 Running Title: Infrasound Could Affect Humans #12;Abstract Wind turbines generate low frequency sounds

  14. In Neil Salkind (Ed.), Encyclopedia of Research Design. Thousand Oaks, CA: Sage. 2010

    E-Print Network [OSTI]

    Abdi, Hervé

    -validation technique first developed by Quenouille to estimate the bias of an estimator. John Tukey then expanded. Curiously, despite its remarkable influence on the statistical community, the seminal work of Tukey impossible to find unpublished note (although some of this note found its way into Tukey's complete work

  15. In Neil Salkind (Ed.), Encyclopedia of Research Design. Thousand Oaks, CA: Sage. 2010

    E-Print Network [OSTI]

    O'Toole, Alice J.

    -Keuls Test and Tukey Test Herv´e Abdi · Lynne J. Williams 1 Pairwise Comparisons An analysis of variance comparisons are the Tukey test and the Newman-Keuls test. Both tests are based Herv´e Abdi The University and Tukey Test on the "Studentized range" or "Student's q". They differ in that the Newman-Keuls test

  16. Anirban Basu Chairman & Chief Executive Officer Sage Policy Group, Inc.

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South42.2 (April 2012) 1 DocumentationAnalysis ofDepartment ofAndreaAndyAnirban

  17. Economic Environment 0 Anirban Basu, Chairman & CEO, Sage Policy Group,

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program - LibbyofThisStatement Tuesday, SeptemberofEbony MeeksMuscleInc. |

  18. Sage-Grouse and Wind Energy: Biology, Habits, and Potential Effects from

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from the Gridwise Global Forum Round-UpSTATE ENERGYof EnergyFuel

  19. Greater Sage-Grouse Populations and Energy Development in Wyoming | Open

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio: EnergyGrasslands Renewable Energy

  20. Modelling osteomyelitis

    E-Print Network [OSTI]

    Liò, Pietro; Paoletti, Nicola; Moni, Mohammad A; Atwell, Kathryn; Merelli, Emanuela; Viceconti, Marco

    2012-09-07T23:59:59.000Z

    13 of 14 12. Paoletti N, Lio P, Merelli E, Viceconti M: Multi-level Computational Modeling and Quantitative Analysis of Bone Remodeling. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2012, 99(PrePrints). 13. Geris L, Vander Sloten...

  1. Criticality Model

    SciTech Connect (OSTI)

    A. Alsaed

    2004-09-14T23:59:59.000Z

    The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).

  2. Sandia National Laboratories: Modeling

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

    Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...

  3. Noncommutative Standard Model: Model Building

    E-Print Network [OSTI]

    M. Chaichian; P. Presnajder; M. M. Sheikh-Jabbari; A. Tureanu

    2003-08-12T23:59:59.000Z

    A noncommutative version of the usual electro-weak theory is constructed. We discuss how to overcome the two major problems: 1) although we can have noncommutative U(n) (which we denote by $U_{\\star}(n)$) gauge theory we cannot have noncommutative SU(n) and 2) the charges in noncommutative QED are quantized to just $0, \\pm 1$. We show how the problem with charge quantization, as well as with the gauge group, can be resolved by taking $U_{\\star}(3)\\times U_{\\star}(2)\\times U_{\\star}(1)$ gauge group and reducing the extra U(1) factors in an appropriate way. Then we proceed with building the noncommutative version of the standard model by specifying the proper representations for the entire particle content of the theory, the gauge bosons, the fermions and Higgs. We also present the full action for the noncommutative Standard Model (NCSM). In addition, among several peculiar features of our model, we address the {\\it inherent} CP violation and new neutrino interactions.

  4. Autonomie Model

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: Top Five EERE BlogAttachmentFlash2011-21 AuditInsulated CladdingofofAutonomie Model

  5. Models Datasets

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixingAssessing8 MayModels-Datasets

  6. ISDAC Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFun withconfinementEtching. | EMSLthe U.S.;2cSupercomputing: TheModeling

  7. Graphical models, causal inference, and econometric models

    E-Print Network [OSTI]

    Spirtes, Peter

    Graphical models, causal inference, and econometric models Peter Spirtes Abstract A graphical model modeling has historical ties to causal modeling in econometrics and other social sciences, there have been isolated from the econometric tradition. In this paper I will describe a number of recent developments

  8. automated software engineering: Topics by E-print Network

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

    Genomic Engineering (SAGE) Enabled by Electrowetting-on-Dielectric Digital Microfluidics Materials Science Websites Summary: Software Automated Genomic Engineering (SAGE)...

  9. Hydrologic Modeling Capabilities

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

    Management Programs has both experience and technical knowledge to use and develop Earth systems models. Hydrological Modeling Models are simplified representations of...

  10. Sandia National Laboratories: Modeling

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

    a model that can be used ... Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling,...

  11. I&C Modeling in SPAR Models

    SciTech Connect (OSTI)

    John A. Schroeder

    2012-06-01T23:59:59.000Z

    The Standardized Plant Analysis Risk (SPAR) models for the U.S. commercial nuclear power plants currently have very limited instrumentation and control (I&C) modeling [1]. Most of the I&C components in the operating plant SPAR models are related to the reactor protection system. This was identified as a finding during the industry peer review of SPAR models. While the Emergency Safeguard Features (ESF) actuation and control system was incorporated into the Peach Bottom Unit 2 SPAR model in a recent effort [2], various approaches to expend resources for detailed I&C modeling in other SPAR models are investigated.

  12. Standard Solar Model

    SciTech Connect (OSTI)

    Loong, Lim Yaw; Yusof, Norhasliza; Kassim, Hasan Abu [Physics Department, Faculty of Science, University of Malaya, 50603 Kuala Lumpur (Malaysia)

    2008-05-20T23:59:59.000Z

    Solar models are important in our understanding of stars and stellar evolution. Solar models have been constructed using different methods. In this work, a solar model will be built using the fitting method. The model will incorporate the most recent input data. The model will be evolved to the current epoch starting from the zero-age main sequence model.

  13. Cognitive Modeling Cognitive Modelling -The nature of

    E-Print Network [OSTI]

    Bremen, Universität

    Cognitive Modeling Cognitive Modelling - The nature of Connectionism and notes on computability Mathias Hinz Universität Bremen November 17, 2014 November 17, 2014 1 #12;Cognitive Modeling topic · Comparing PDP and nature · properties of PDP · computability · discussion November 17, 2014 2 #12;Cognitive

  14. The Standard Model Beyond the Standard Model

    E-Print Network [OSTI]

    physics with top quark Search for Extra-dimensions Conclusions 1 The Standard Model Building block quark Search for Extra-dimensions Conclusions Building block The particles and forces The Standard Model the Standard Model New physics with top quark Search for Extra-dimensions Conclusions Building block

  15. Sandia Modeling Tool Webinar

    Office of Energy Efficiency and Renewable Energy (EERE)

    Webinar attendees will learn what collaborative, stakeholder-driven modeling is, how the models developed have been and could be used, and how specifically this process and resulting models might...

  16. Geologic Framework Model Analysis Model Report

    SciTech Connect (OSTI)

    R. Clayton

    2000-12-19T23:59:59.000Z

    The purpose of this report is to document the Geologic Framework Model (GFM), Version 3.1 (GFM3.1) with regard to data input, modeling methods, assumptions, uncertainties, limitations, and validation of the model results, qualification status of the model, and the differences between Version 3.1 and previous versions. The GFM represents a three-dimensional interpretation of the stratigraphy and structural features of the location of the potential Yucca Mountain radioactive waste repository. The GFM encompasses an area of 65 square miles (170 square kilometers) and a volume of 185 cubic miles (771 cubic kilometers). The boundaries of the GFM were chosen to encompass the most widely distributed set of exploratory boreholes (the Water Table or WT series) and to provide a geologic framework over the area of interest for hydrologic flow and radionuclide transport modeling through the unsaturated zone (UZ). The depth of the model is constrained by the inferred depth of the Tertiary-Paleozoic unconformity. The GFM was constructed from geologic map and borehole data. Additional information from measured stratigraphy sections, gravity profiles, and seismic profiles was also considered. This interim change notice (ICN) was prepared in accordance with the Technical Work Plan for the Integrated Site Model Process Model Report Revision 01 (CRWMS M&O 2000). The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. The GFM is one component of the Integrated Site Model (ISM) (Figure l), which has been developed to provide a consistent volumetric portrayal of the rock layers, rock properties, and mineralogy of the Yucca Mountain site. The ISM consists of three components: (1) Geologic Framework Model (GFM); (2) Rock Properties Model (RPM); and (3) Mineralogic Model (MM). The ISM merges the detailed project stratigraphy into model stratigraphic units that are most useful for the primary downstream models and the repository design. These downstream models include the hydrologic flow models and the radionuclide transport models. All the models and the repository design, in turn, will be incorporated into the Total System Performance Assessment (TSPA) of the potential radioactive waste repository block and vicinity to determine the suitability of Yucca Mountain as a host for the repository. The interrelationship of the three components of the ISM and their interface with downstream uses are illustrated in Figure 2.

  17. Sandia National Laboratories: Modeling

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

    Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...

  18. Modeling and Analysis

    Broader source: Energy.gov [DOE]

    DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...

  19. ROCK PROPERTIES MODEL ANALYSIS MODEL REPORT

    SciTech Connect (OSTI)

    Clinton Lum

    2002-02-04T23:59:59.000Z

    The purpose of this Analysis and Model Report (AMR) is to document Rock Properties Model (RPM) 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties models are intended principally for use as input to numerical physical-process modeling, such as of ground-water flow and/or radionuclide transport. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. This work was conducted in accordance with the following planning documents: WA-0344, ''3-D Rock Properties Modeling for FY 1998'' (SNL 1997, WA-0358), ''3-D Rock Properties Modeling for FY 1999'' (SNL 1999), and the technical development plan, Rock Properties Model Version 3.1, (CRWMS M&O 1999c). The Interim Change Notice (ICNs), ICN 02 and ICN 03, of this AMR were prepared as part of activities being conducted under the Technical Work Plan, TWP-NBS-GS-000003, ''Technical Work Plan for the Integrated Site Model, Process Model Report, Revision 01'' (CRWMS M&O 2000b). The purpose of ICN 03 is to record changes in data input status due to data qualification and verification activities. These work plans describe the scope, objectives, tasks, methodology, and implementing procedures for model construction. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. The work scope for this activity consists of the following: (1) Conversion of the input data (laboratory measured porosity data, x-ray diffraction mineralogy, petrophysical calculations of bound water, and petrophysical calculations of porosity) for each borehole into stratigraphic coordinates; (2) Re-sampling and merging of data sets; (3) Development of geostatistical simulations of porosity; (4) Generation of derivative property models via linear coregionalization with porosity; (5) Post-processing of the simulated models to impart desired secondary geologic attributes and to create summary and uncertainty models; and (6) Conversion of the models into real-world coordinates. The conversion to real world coordinates is performed as part of the integration of the RPM into the Integrated Site Model (ISM) 3.1; this activity is not part of the current analysis. The ISM provides a consistent volumetric portrayal of the rock layers, rock properties, and mineralogy of the Yucca Mountain site and consists of three components: (1) Geologic Framework Model (GFM); (2) RPM, which is the subject of this AMR; and (3) Mineralogic Model. The interrelationship of the three components of the ISM and their interface with downstream uses are illustrated in Figure 1. Figure 2 shows the geographic boundaries of the RPM and other component models of the ISM.

  20. Sandia National Laboratories: Modeling & Analysis

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

    On September 19, 2013, in Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid Integration, Modeling, Modeling & Analysis, News, News &...

  1. OSHWPP model programs guide

    SciTech Connect (OSTI)

    NONE

    1995-06-01T23:59:59.000Z

    Descriptions of model occupational health and safety programs implemented at DOE facilities are presented.

  2. PREDICTIVE MODELS. Enhanced Oil Recovery Model

    SciTech Connect (OSTI)

    Ray, R.M. [DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States)

    1992-02-26T23:59:59.000Z

    PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding; 2 carbon dioxide miscible flooding; 3 in-situ combustion; 4 polymer flooding; and 5 steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

  3. Time Series Models: Hidden Markov Models

    E-Print Network [OSTI]

    Roweis, Sam

    Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational before. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS chain with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y

  4. Time Series Models: Hidden Markov Models

    E-Print Network [OSTI]

    Roweis, Sam

    Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y 2 x 3 y 3 x T y

  5. Model Validation Status Review

    SciTech Connect (OSTI)

    E.L. Hardin

    2001-11-28T23:59:59.000Z

    The primary objective for the Model Validation Status Review was to perform a one-time evaluation of model validation associated with the analysis/model reports (AMRs) containing model input to total-system performance assessment (TSPA) for the Yucca Mountain site recommendation (SR). This review was performed in response to Corrective Action Request BSC-01-C-01 (Clark 2001, Krisha 2001) pursuant to Quality Assurance review findings of an adverse trend in model validation deficiency. The review findings in this report provide the following information which defines the extent of model validation deficiency and the corrective action needed: (1) AMRs that contain or support models are identified, and conversely, for each model the supporting documentation is identified. (2) The use for each model is determined based on whether the output is used directly for TSPA-SR, or for screening (exclusion) of features, events, and processes (FEPs), and the nature of the model output. (3) Two approaches are used to evaluate the extent to which the validation for each model is compliant with AP-3.10Q (Analyses and Models). The approaches differ in regard to whether model validation is achieved within individual AMRs as originally intended, or whether model validation could be readily achieved by incorporating information from other sources. (4) Recommendations are presented for changes to the AMRs, and additional model development activities or data collection, that will remedy model validation review findings, in support of licensing activities. The Model Validation Status Review emphasized those AMRs that support TSPA-SR (CRWMS M&O 2000bl and 2000bm). A series of workshops and teleconferences was held to discuss and integrate the review findings. The review encompassed 125 AMRs (Table 1) plus certain other supporting documents and data needed to assess model validity. The AMRs were grouped in 21 model areas representing the modeling of processes affecting the natural and engineered barriers, plus the TSPA model itself Description of the model areas is provided in Section 3, and the documents reviewed are described in Section 4. The responsible manager for the Model Validation Status Review was the Chief Science Officer (CSO) for Bechtel-SAIC Co. (BSC). The team lead was assigned by the CSO. A total of 32 technical specialists were engaged to evaluate model validation status in the 21 model areas. The technical specialists were generally independent of the work reviewed, meeting technical qualifications as discussed in Section 5.

  6. COMMENTARY Open Access Biodiversity Conservation in the REDD

    E-Print Network [OSTI]

    Slik, Ferry

    Convention on Climate Change (UNFCCC) treaty seeks to involve developing countries in global GHG reduction improved conservation and sustainable manage- ment of forests, developing countries that reduce forest

  7. Multi-project baselines for potential clean development mechanism projects in the electricity sector in South Africa

    E-Print Network [OSTI]

    Winkler, H.; Spalding-Fecher, R.; Sathaye, J.; Price, L.

    2002-01-01T23:59:59.000Z

    projects in the electricity sector in South Africa. JournalMechanism projects in the electricity sector in South AfricaCDM projects in the electricity sector References UNFCCC,

  8. Bringing climate change down to earth : science and participation in Canadian and Australian climate change campaigns

    E-Print Network [OSTI]

    Padolsky, Miriam Elana

    2006-01-01T23:59:59.000Z

    in a café in Canberra, Australia, a veteran environmentalistin Australia. Canberra: The Australia Institute. Briggs,Australia Stand? Canberra: The Australia Institute. UNFCCC.

  9. Energy-consumption modelling

    SciTech Connect (OSTI)

    Reiter, E.R.

    1980-01-01T23:59:59.000Z

    A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

  10. Biosphere Model Report

    SciTech Connect (OSTI)

    D.W. Wu; A.J. Smith

    2004-11-08T23:59:59.000Z

    The purpose of this report is to document the biosphere model, the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), which describes radionuclide transport processes in the biosphere and associated human exposure that may arise as the result of radionuclide release from the geologic repository at Yucca Mountain. The biosphere model is one of the process models that support the Yucca Mountain Project (YMP) Total System Performance Assessment (TSPA) for the license application (LA), TSPA-LA. The ERMYN provides the capability of performing human radiation dose assessments. This report documents the biosphere model, which includes: (1) Describing the reference biosphere, human receptor, exposure scenarios, and primary radionuclides for each exposure scenario (Section 6.1); (2) Developing a biosphere conceptual model using site-specific features, events, and processes (FEPs) (Section 6.2), the reference biosphere (Section 6.1.1), the human receptor (Section 6.1.2), and approximations (Sections 6.3.1.4 and 6.3.2.4); (3) Building a mathematical model using the biosphere conceptual model (Section 6.3) and published biosphere models (Sections 6.4 and 6.5); (4) Summarizing input parameters for the mathematical model, including the uncertainty associated with input values (Section 6.6); (5) Identifying improvements in the ERMYN compared with the model used in previous biosphere modeling (Section 6.7); (6) Constructing an ERMYN implementation tool (model) based on the biosphere mathematical model using GoldSim stochastic simulation software (Sections 6.8 and 6.9); (7) Verifying the ERMYN by comparing output from the software with hand calculations to ensure that the GoldSim implementation is correct (Section 6.10); (8) Validating the ERMYN by corroborating it with published biosphere models; comparing conceptual models, mathematical models, and numerical results (Section 7).

  11. Ratchet Model of Baryogenesis

    E-Print Network [OSTI]

    Takeuchi, Tatsu; Sugamoto, Akio

    2010-01-01T23:59:59.000Z

    We propose a toy model of baryogenesis which applies the `ratchet mechanism,' used frequently in the theory of biological molecular motors, to a model proposed by Dimopoulos and Susskind.

  12. Ratchet Model of Baryogenesis

    E-Print Network [OSTI]

    Tatsu Takeuchi; Azusa Minamizaki; Akio Sugamoto

    2013-01-06T23:59:59.000Z

    We propose a toy model of baryogenesis which applies the `ratchet mechanism,' used frequently in the theory of biological molecular motors, to a model proposed by Dimopoulos and Susskind.

  13. Sandia Modeling Tool Webinar

    Broader source: Energy.gov [DOE]

    Hosted by the Energy Department and Western Area Power Administration, this webinar will show attendees about what collaborative, stakeholder-driven modeling is and how the modeling tools and process developed by Sandia can be used in Indian Country.

  14. Aircraft collision models

    E-Print Network [OSTI]

    Endoh, Shinsuke

    1982-01-01T23:59:59.000Z

    Introduction: The threat of midair collisions is one of the most serious problems facing the air traffic control system and has been studied by many researchers. The gas model is one of the models which describe the expected ...

  15. Optimizing Preventive Maintenance Models

    E-Print Network [OSTI]

    Optimizing Preventive Maintenance Models. Michael Bartholomew-Biggs. School of Physics Astronomy and Mathematics, University of Hertfordshire.

  16. William A. Stein References Cited (858) 220-6876 wstein@math.washington.edu http://sage.math.washington.edu

    E-Print Network [OSTI]

    Stein, William

    ://pari.math.u-bordeaux.fr/. [23] F. Perez, An Enhanced Python Shell, http://ipython.scipy.org/moin/. [24] P. Ramachandran, Mayavi

  17. Regulating reproduction in India's population Efforts, Results and Recommen dations. By K. Srinivasan, Sage, New Delhi, 1995.

    E-Print Network [OSTI]

    McCarthy, John E.

    Regulating reproduction in India's population Efforts, Results and Recommen­ dations. By K, St. Louis, MO 63130 India's population growth is a paradox. In 1952, India became the first country in the world to institute a national policy to limit population, and the central government has pursued

  18. Regulating reproduction in India's population Efforts, Results and Recommen-dations. By K. Srinivasan, Sage, New Delhi, 1995.

    E-Print Network [OSTI]

    McCarthy, John E.

    Regulating reproduction in India's population Efforts, Results and Recommen- dations., Washington University, St. Louis, MO 63130 India's population growth is a paradox. In 1952, India became the first countr* *y in the world to institute a national policy to limit population

  19. PREDICTIVE MODELS. Enhanced Oil Recovery Model

    SciTech Connect (OSTI)

    Ray, R.M. [DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States)

    1992-02-26T23:59:59.000Z

    PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2 carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3 in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4 polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5 steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

  20. IR DIAL performance modeling

    SciTech Connect (OSTI)

    Sharlemann, E.T.

    1994-07-01T23:59:59.000Z

    We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

  1. Model Fire Protection Program

    Broader source: Energy.gov [DOE]

    To facilitate conformance with its fire safety directives and the implementation of a comprehensive fire protection program, DOE has developed a number of "model" program documents. These include a comprehensive model fire protection program, model fire hazards analyses and assessments, fire protection system inspection and testing procedures, and related material.

  2. A Holographic Energy Model

    E-Print Network [OSTI]

    P. Huang; Yong-Chang Huang

    2012-12-30T23:59:59.000Z

    We suggest a holographic energy model in which the energy coming from spatial curvature, matter and radiation can be obtained by using the particle horizon for the infrared cut-off. We show the consistency between the holographic dark-energy model and the holographic energy model proposed in this paper. Then, we give a holographic description of the universe.

  3. Rock Properties Model

    SciTech Connect (OSTI)

    C. Lum

    2004-09-16T23:59:59.000Z

    The purpose of this model report is to document the Rock Properties Model version 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties model provides mean matrix and lithophysae porosity, and the cross-correlated mean bulk density as direct input to the ''Saturated Zone Flow and Transport Model Abstraction'', MDL-NBS-HS-000021, REV 02 (BSC 2004 [DIRS 170042]). The constraints, caveats, and limitations associated with this model are discussed in Section 6.6 and 8.2. Model validation accomplished by corroboration with data not cited as direct input is discussed in Section 7. The revision of this model report was performed as part of activities being conducted under the ''Technical Work Plan for: The Integrated Site Model, Revision 05'' (BSC 2004 [DIRS 169635]). The purpose of this revision is to bring the report up to current procedural requirements and address the Regulatory Integration Team evaluation comments. The work plan describes the scope, objectives, tasks, methodology, and procedures for this process.

  4. Chaos Models in Economics

    E-Print Network [OSTI]

    Sorin Vlad; Paul Pascu; Nicolae Morariu

    2010-01-20T23:59:59.000Z

    The paper discusses the main ideas of the chaos theory and presents mainly the importance of the nonlinearities in the mathematical models. Chaos and order are apparently two opposite terms. The fact that in chaos can be found a certain precise symmetry (Feigenbaum numbers) is even more surprising. As an illustration of the ubiquity of chaos, three models among many other existing models that have chaotic features are presented here: the nonlinear feedback profit model, one model for the simulation of the exchange rate and one application of the chaos theory in the capital markets.

  5. UZ Colloid Transport Model

    SciTech Connect (OSTI)

    M. McGraw

    2000-04-13T23:59:59.000Z

    The UZ Colloid Transport model development plan states that the objective of this Analysis/Model Report (AMR) is to document the development of a model for simulating unsaturated colloid transport. This objective includes the following: (1) use of a process level model to evaluate the potential mechanisms for colloid transport at Yucca Mountain; (2) Provide ranges of parameters for significant colloid transport processes to Performance Assessment (PA) for the unsaturated zone (UZ); (3) Provide a basis for development of an abstracted model for use in PA calculations.

  6. Calibrated Properties Model

    SciTech Connect (OSTI)

    T. Ghezzehej

    2004-10-04T23:59:59.000Z

    The purpose of this model report is to document the calibrated properties model that provides calibrated property sets for unsaturated zone (UZ) flow and transport process models (UZ models). The calibration of the property sets is performed through inverse modeling. This work followed, and was planned in, ''Technical Work Plan (TWP) for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Sections 1.2.6 and 2.1.1.6). Direct inputs to this model report were derived from the following upstream analysis and model reports: ''Analysis of Hydrologic Properties Data'' (BSC 2004 [DIRS 170038]); ''Development of Numerical Grids for UZ Flow and Transport Modeling'' (BSC 2004 [DIRS 169855]); ''Simulation of Net Infiltration for Present-Day and Potential Future Climates'' (BSC 2004 [DIRS 170007]); ''Geologic Framework Model'' (GFM2000) (BSC 2004 [DIRS 170029]). Additionally, this model report incorporates errata of the previous version and closure of the Key Technical Issue agreement TSPAI 3.26 (Section 6.2.2 and Appendix B), and it is revised for improved transparency.

  7. Foam process models.

    SciTech Connect (OSTI)

    Moffat, Harry K.; Noble, David R.; Baer, Thomas A. (Procter & Gamble Co., West Chester, OH); Adolf, Douglas Brian; Rao, Rekha Ranjana; Mondy, Lisa Ann

    2008-09-01T23:59:59.000Z

    In this report, we summarize our work on developing a production level foam processing computational model suitable for predicting the self-expansion of foam in complex geometries. The model is based on a finite element representation of the equations of motion, with the movement of the free surface represented using the level set method, and has been implemented in SIERRA/ARIA. An empirically based time- and temperature-dependent density model is used to encapsulate the complex physics of foam nucleation and growth in a numerically tractable model. The change in density with time is at the heart of the foam self-expansion as it creates the motion of the foam. This continuum-level model uses an homogenized description of foam, which does not include the gas explicitly. Results from the model are compared to temperature-instrumented flow visualization experiments giving the location of the foam front as a function of time for our EFAR model system.

  8. RHP: HOW CLIMATE MODELS GAIN AND EXERCISE How Climate Models Gain and Exercise Authority

    E-Print Network [OSTI]

    Hulme, Mike

    -dimensional models, intermediate complexity models, general circulation models, and Earth system models. 2 www

  9. Constitutive models in LAME.

    SciTech Connect (OSTI)

    Hammerand, Daniel Carl; Scherzinger, William Mark

    2007-09-01T23:59:59.000Z

    The Library of Advanced Materials for Engineering (LAME) provides a common repository for constitutive models that can be used in computational solid mechanics codes. A number of models including both hypoelastic (rate) and hyperelastic (total strain) constitutive forms have been implemented in LAME. The structure and testing of LAME is described in Scherzinger and Hammerand ([3] and [4]). The purpose of the present report is to describe the material models which have already been implemented into LAME. The descriptions are designed to give useful information to both analysts and code developers. Thus far, 33 non-ITAR/non-CRADA protected material models have been incorporated. These include everything from the simple isotropic linear elastic models to a number of elastic-plastic models for metals to models for honeycomb, foams, potting epoxies and rubber. A complete description of each model is outside the scope of the current report. Rather, the aim here is to delineate the properties, state variables, functions, and methods for each model. However, a brief description of some of the constitutive details is provided for a number of the material models. Where appropriate, the SAND reports available for each model have been cited. Many models have state variable aliases for some or all of their state variables. These alias names can be used for outputting desired quantities. The state variable aliases available for results output have been listed in this report. However, not all models use these aliases. For those models, no state variable names are listed. Nevertheless, the number of state variables employed by each model is always given. Currently, there are four possible functions for a material model. This report lists which of these four methods are employed in each material model. As far as analysts are concerned, this information is included only for the awareness purposes. The analyst can take confidence in the fact that model has been properly implemented and the methods necessary for achieving accurate and efficient solutions have been incorporated. The most important method is the getStress function where the actual material model evaluation takes place. Obviously, all material models incorporate this function. The initialize function is included in most material models. The initialize function is called once at the beginning of an analysis and its primary purpose is to initialize the material state variables associated with the model. Many times, there is some information which can be set once per load step. For instance, we may have temperature dependent material properties in an analysis where temperature is prescribed. Instead of setting those parameters at each iteration in a time step, it is much more efficient to set them once per time step at the beginning of the step. These types of load step initializations are performed in the loadStepInit method. The final function used by many models is the pcElasticModuli method which changes the moduli that are to be used by the elastic preconditioner in Adagio. The moduli for the elastic preconditioner are set during the initialization of Adagio. Sometimes, better convergence can be achieved by changing these moduli for the elastic preconditioner. For instance, it typically helps to modify the preconditioner when the material model has temperature dependent moduli. For many material models, it is not necessary to change the values of the moduli that are set initially in the code. Hence, those models do not have pcElasticModuli functions. All four of these methods receive information from the matParams structure as described by Scherzinger and Hammerand.

  10. Sandia National Laboratories: Modeling & Analysis

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

    Grid Integration, Wind Energy Sandia finalized and submitted the updated "WECC Wind Power Plant Dynamic Model-ing Guide" and the "WECC PV Power Plant Dynamic Modeling...

  11. Application of Spatial Data Modeling and Geographical Information Systems (GIS) for Identification of Potential Siting Options for Various Electrical Generation Sources

    SciTech Connect (OSTI)

    Mays, Gary T [ORNL; Belles, Randy [ORNL; Blevins, Brandon R [ORNL; Hadley, Stanton W [ORNL; Harrison, Thomas J [ORNL; Jochem, Warren C [ORNL; Neish, Bradley S [ORNL; Omitaomu, Olufemi A [ORNL; Rose, Amy N [ORNL

    2012-05-01T23:59:59.000Z

    Oak Ridge National Laboratory (ORNL) initiated an internal National Electric Generation Siting Study, which is an ongoing multiphase study addressing several key questions related to our national electrical energy supply. This effort has led to the development of a tool, OR-SAGE (Oak Ridge Siting Analysis for power Generation Expansion), to support siting evaluations. The objective in developing OR-SAGE was to use industry-accepted approaches and/or develop appropriate criteria for screening sites and employ an array of Geographic Information Systems (GIS) data sources at ORNL to identify candidate areas for a power generation technology application. The initial phase of the study examined nuclear power generation. These early nuclear phase results were shared with staff from the Electric Power Research Institute (EPRI), which formed the genesis and support for an expansion of the work to several other power generation forms, including advanced coal with carbon capture and storage (CCS), solar, and compressed air energy storage (CAES). Wind generation was not included in this scope of work for EPRI. The OR-SAGE tool is essentially a dynamic visualization database. The results shown in this report represent a single static set of results using a specific set of input parameters. In this case, the GIS input parameters were optimized to support an economic study conducted by EPRI. A single set of individual results should not be construed as an ultimate energy solution, since US energy policy is very complex. However, the strength of the OR-SAGE tool is that numerous alternative scenarios can be quickly generated to provide additional insight into electrical generation or other GIS-based applications. The screening process divides the contiguous United States into 100 x 100 m (1-hectare) squares (cells), applying successive power generation-appropriate site selection and evaluation criteria (SSEC) to each cell. There are just under 700 million cells representing the contiguous United States. If a cell meets the requirements of each criterion, the cell is deemed a candidate area for siting a specific power generation form relative to a reference plant for that power type. Some SSEC parameters preclude siting a power plant because of an environmental, regulatory, or land-use constraint. Other SSEC assist in identifying less favorable areas, such as proximity to hazardous operations. All of the selected SSEC tend to recommend against sites. The focus of the ORNL electrical generation source siting study is on identifying candidate areas from which potential sites might be selected, stopping short of performing any detailed site evaluations or comparisons. This approach is designed to quickly screen for and characterize candidate areas. Critical assumptions supporting this work include the supply of cooling water to thermoelectric power generation; a methodology to provide an adequate siting footprint for typical power plant applications; a methodology to estimate thermoelectric plant capacity while accounting for available cooling water; and a methodology to account for future ({approx}2035) siting limitations as population increases and demands on freshwater sources change. OR-SAGE algorithms were built to account for these critical assumptions. Stream flow is the primary thermoelectric plant cooling source evaluated in this study. All cooling was assumed to be provided by a closed-cycle cooling (CCC) system requiring makeup water to account for evaporation and blowdown. Limited evaluations of shoreline cooling and the use of municipal processed water (gray) cooling were performed. Using a representative set of SSEC as input to the OR-SAGE tool and employing the accompanying critical assumptions, independent results for the various power generation sources studied were calculated.

  12. I neutrini solari Corso di Astrofisica e Particelle, prof. B. Borgia ( A.A. 2008-2009 )

    E-Print Network [OSTI]

    Roma "La Sapienza", Università di

    solari · Borexino reazioni termonucleari Standard Solar Models spettro in energia dei neutrini solari Homestake GALLEX/GNO e SAGE Kamiokande e Super-Kamiokande SNO #12;Introduzione NEUTRINI SOLARI : Solar processi di fusione nucleare Energia media ~ 1 MeV Flusso sulla Terra ~ 6�1010 cm-2s-1 ~10-45 cm2

  13. k-Shares: A Privacy Preserving Reputation Protocol for Decentralized Environments

    E-Print Network [OSTI]

    Boyer, Edmond

    for decentralized environments. The protocol has linear mes- sage complexity under the semi-honest adversarial model the EigenTrust [1] reputation system and the Advogato.org reputation system [2]. An accurate reputation of retaliation from the target entity or mutual understanding that a feedback value would be reciprocated

  14. The model coupling toolkit.

    SciTech Connect (OSTI)

    Larson, J. W.; Jacob, R. L.; Foster, I.; Guo, J.

    2001-04-13T23:59:59.000Z

    The advent of coupled earth system models has raised an important question in parallel computing: What is the most effective method for coupling many parallel models to form a high-performance coupled modeling system? We present our solution to this problem--The Model Coupling Toolkit (MCT). We explain how our effort to construct the Next-Generation Coupler for NCAR Community Climate System Model motivated us to create this toolkit. We describe in detail the conceptual design of the MCT and explain its usage in constructing parallel coupled models. We present preliminary performance results for the toolkit's parallel data transfer facilities. Finally, we outline an agenda for future development of the MCT.

  15. Studied models Numerical scheme

    E-Print Network [OSTI]

    Helluy, Philippe

    : Sound speed: c0 = 1500m/s Pressure: p0 = 105Pa Density: 0 = 1000kg/m3 Vapor: 1 = 1.4 (1 = 0) Water: 2. Helluy, S. M¨uller H´el`ene Mathis Micro-Macro Modelling and Simulation of Liquid-Vapour Flows #12 approximations H´el`ene Mathis Micro-Macro Modelling and Simulation of Liquid-Vapour Flows #12;Studied models

  16. Modeling urban runoff characteristics

    E-Print Network [OSTI]

    Garcia, Alfred

    1987-01-01T23:59:59.000Z

    the impact that urban1zation has on storm runoff. An accurate method is required to model urban watersheds and to simulate storm runoff. Research Objectives The purpose of this research was to quantitatively define the effect that urbanization has... are typical in the sense that they follow the steps outlined above. These models include: the British Road Research Laboratory Nodel (RRL), 1962; the Chicago Hydrograph Method (NERO), 1970; the Environmental Protection Agency Storm Water Management Model...

  17. HOMER® Micropower Optimization Model

    SciTech Connect (OSTI)

    Lilienthal, P.

    2005-01-01T23:59:59.000Z

    NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.

  18. Photovoltaics Business Models

    SciTech Connect (OSTI)

    Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.

    2008-02-01T23:59:59.000Z

    This report summarizes work to better understand the structure of future photovoltaics business models and the research, development, and demonstration required to support their deployment.

  19. Dispersion Modeling Project

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

    Dispersion Modeling Project Nuclear & Criticality Safety Engineering Andrew Vincent Germantown, MD DOE Workshop Savannah River Nuclear Solutions, LLC June, 2012 SRNS-...

  20. Models and phenomenology

    E-Print Network [OSTI]

    A. D. Erlykin

    2004-11-09T23:59:59.000Z

    It is evident that models of the knee should match the observational phenomenology. In this talk I discuss a few aspects of phenomenology, which are important not only for the understanding of the knee origin, but also for the general problem of the origin of cosmic rays. Among them are the shape of the energy spectrum, its irregularity, the sharpness of the knee and its fine structure. The classification of models is given and some examples of the most recent models are discussed. The most probable conclusion deduced from this examination is that the knee has an astrophysical origin and the so called 'source' models of the knee are most likely among them.

  1. The Standard Model

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-12T23:59:59.000Z

    Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.

  2. Epidemic modeling techniques for smallpox

    E-Print Network [OSTI]

    McLean, Cory Y. (Cory Yuen Fu)

    2004-01-01T23:59:59.000Z

    Infectious disease models predict the impact of outbreaks. Discrepancies between model predictions stem from both the disease parameters used and the underlying mathematics of the models. Smallpox has been modeled extensively ...

  3. Better Buildings Neighborhood Program Business Models Guide:...

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

    Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model HVAC contractor business model...

  4. Models of Dynamical Supersymmetry Breaking

    E-Print Network [OSTI]

    Lisa Randall

    1997-06-23T23:59:59.000Z

    We review a class of models of dynamical supersymmetry breaking, and give a unified description of these models.

  5. Biosphere Process Model Report

    SciTech Connect (OSTI)

    J. Schmitt

    2000-05-25T23:59:59.000Z

    To evaluate the postclosure performance of a potential monitored geologic repository at Yucca Mountain, a Total System Performance Assessment (TSPA) will be conducted. Nine Process Model Reports (PMRs), including this document, are being developed to summarize the technical basis for each of the process models supporting the TSPA model. These reports cover the following areas: (1) Integrated Site Model; (2) Unsaturated Zone Flow and Transport; (3) Near Field Environment; (4) Engineered Barrier System Degradation, Flow, and Transport; (5) Waste Package Degradation; (6) Waste Form Degradation; (7) Saturated Zone Flow and Transport; (8) Biosphere; and (9) Disruptive Events. Analysis/Model Reports (AMRs) contain the more detailed technical information used to support TSPA and the PMRs. The AMRs consists of data, analyses, models, software, and supporting documentation that will be used to defend the applicability of each process model for evaluating the postclosure performance of the potential Yucca Mountain repository system. This documentation will ensure the traceability of information from its source through its ultimate use in the TSPA-Site Recommendation (SR) and in the National Environmental Policy Act (NEPA) analysis processes. The objective of the Biosphere PMR is to summarize (1) the development of the biosphere model, and (2) the Biosphere Dose Conversion Factors (BDCFs) developed for use in TSPA. The Biosphere PMR does not present or summarize estimates of potential radiation doses to human receptors. Dose calculations are performed as part of TSPA and will be presented in the TSPA documentation. The biosphere model is a component of the process to evaluate postclosure repository performance and regulatory compliance for a potential monitored geologic repository at Yucca Mountain, Nevada. The biosphere model describes those exposure pathways in the biosphere by which radionuclides released from a potential repository could reach a human receptor. Collectively, the potential human receptor and exposure pathways form the biosphere model. More detailed technical information and data about potential human receptor groups and the characteristics of exposure pathways have been developed in a series of AMRs and Calculation Reports.

  6. Composite Load Model Evaluation

    SciTech Connect (OSTI)

    Lu, Ning; Qiao, Hong (Amy)

    2007-09-30T23:59:59.000Z

    The WECC load modeling task force has dedicated its effort in the past few years to develop a composite load model that can represent behaviors of different end-user components. The modeling structure of the composite load model is recommended by the WECC load modeling task force. GE Energy has implemented this composite load model with a new function CMPLDW in its power system simulation software package, PSLF. For the last several years, Bonneville Power Administration (BPA) has taken the lead and collaborated with GE Energy to develop the new composite load model. Pacific Northwest National Laboratory (PNNL) and BPA joint force and conducted the evaluation of the CMPLDW and test its parameter settings to make sure that: • the model initializes properly, • all the parameter settings are functioning, and • the simulation results are as expected. The PNNL effort focused on testing the CMPLDW in a 4-bus system. An exhaustive testing on each parameter setting has been performed to guarantee each setting works. This report is a summary of the PNNL testing results and conclusions.

  7. Cognitive Systems Cognitive Modeling

    E-Print Network [OSTI]

    Bremen, Universität

    1 Cognitive Systems Cognitive Modeling Foundations of Information Processing in Natural Barkowsky, Christian Freksa 2 Cognitive Systems: Topics · Introduction · Perception · Memory and Reasoning · Learning and Action · Communication · Empirical Methods 3 Cognitive Modeling: Topics · Cognitive

  8. SUSY Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2007-10-19T23:59:59.000Z

    I review some of the latest directions in supersymmetric model building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard model [MSSM], the "little" hierarchy and $\\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.

  9. String Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2009-11-06T23:59:59.000Z

    In this talk I review some recent progress in heterotic and F theory model building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold models which come quite close to the MSSM.

  10. XAFS Model Compound Library

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

    Newville, Matthew

    The XAFS Model Compound Library contains XAFS data on model compounds. The term "model" compounds refers to compounds of homogeneous and well-known crystallographic or molecular structure. Each data file in this library has an associated atoms.inp file that can be converted to a feff.inp file using the program ATOMS. (See the related Searchable Atoms.inp Archive at http://cars9.uchicago.edu/~newville/adb/) This Library exists because XAFS data on model compounds is useful for several reasons, including comparing to unknown data for "fingerprinting" and testing calculations and analysis methods. The collection here is currently limited, but is growing. The focus to date has been on inorganic compounds and minerals of interest to the geochemical community. [Copied, with editing, from http://cars9.uchicago.edu/~newville/ModelLib/

  11. Anisotropic Rabi model

    E-Print Network [OSTI]

    Qiong-Tao Xie; Shuai Cui; Jun-Peng Cao; Luigi Amico; Heng Fan

    2014-05-20T23:59:59.000Z

    We define the anisotropic Rabi model as the generalization of the spin-boson Rabi model: The Hamiltonian system breaks the parity symmetry; the rotating and counter-rotating interactions are governed by two different coupling constants; a further parameter introduces a phase factor in the counter-rotating terms. The exact energy spectrum and eigenstates of the generalized model is worked out. The solution is obtained as an elaboration of a recent proposed method for the isotropic limit of the model. In this way, we provide a long sought solution of a cascade of models with immediate relevance in different physical fields, including i) quantum optics: two-level atom in single mode cross electric and magnetic fields; ii) solid state physics: electrons in semiconductors with Rashba and Dresselhaus spin-orbit coupling; iii) mesoscopic physics: Josephson junctions flux-qubit quantum circuits.

  12. Global ice sheet modeling

    SciTech Connect (OSTI)

    Hughes, T.J.; Fastook, J.L. [Univ. of Maine, Orono, ME (United States). Institute for Quaternary Studies

    1994-05-01T23:59:59.000Z

    The University of Maine conducted this study for Pacific Northwest Laboratory (PNL) as part of a global climate modeling task for site characterization of the potential nuclear waste respository site at Yucca Mountain, NV. The purpose of the study was to develop a global ice sheet dynamics model that will forecast the three-dimensional configuration of global ice sheets for specific climate change scenarios. The objective of the third (final) year of the work was to produce ice sheet data for glaciation scenarios covering the next 100,000 years. This was accomplished using both the map-plane and flowband solutions of our time-dependent, finite-element gridpoint model. The theory and equations used to develop the ice sheet models are presented. Three future scenarios were simulated by the model and results are discussed.

  13. Varicella infection modeling.

    SciTech Connect (OSTI)

    Jones, Katherine A.; Finley, Patrick D.; Moore, Thomas W.; Nozick, Linda Karen; Martin, Nathaniel; Bandlow, Alisa; Detry, Richard Joseph; Evans, Leland B.; Berger, Taylor Eugen

    2013-09-01T23:59:59.000Z

    Infectious diseases can spread rapidly through healthcare facilities, resulting in widespread illness among vulnerable patients. Computational models of disease spread are useful for evaluating mitigation strategies under different scenarios. This report describes two infectious disease models built for the US Department of Veteran Affairs (VA) motivated by a Varicella outbreak in a VA facility. The first model simulates disease spread within a notional contact network representing staff and patients. Several interventions, along with initial infection counts and intervention delay, were evaluated for effectiveness at preventing disease spread. The second model adds staff categories, location, scheduling, and variable contact rates to improve resolution. This model achieved more accurate infection counts and enabled a more rigorous evaluation of comparative effectiveness of interventions.

  14. SPAR Model Structural Efficiencies

    SciTech Connect (OSTI)

    John Schroeder; Dan Henry

    2013-04-01T23:59:59.000Z

    The Nuclear Regulatory Commission (NRC) and the Electric Power Research Institute (EPRI) are supporting initiatives aimed at improving the quality of probabilistic risk assessments (PRAs). Included in these initiatives are the resolution of key technical issues that are have been judged to have the most significant influence on the baseline core damage frequency of the NRC’s Standardized Plant Analysis Risk (SPAR) models and licensee PRA models. Previous work addressed issues associated with support system initiating event analysis and loss of off-site power/station blackout analysis. The key technical issues were: • Development of a standard methodology and implementation of support system initiating events • Treatment of loss of offsite power • Development of standard approach for emergency core cooling following containment failure Some of the related issues were not fully resolved. This project continues the effort to resolve outstanding issues. The work scope was intended to include substantial collaboration with EPRI; however, EPRI has had other higher priority initiatives to support. Therefore this project has addressed SPAR modeling issues. The issues addressed are • SPAR model transparency • Common cause failure modeling deficiencies and approaches • Ac and dc modeling deficiencies and approaches • Instrumentation and control system modeling deficiencies and approaches

  15. Modeling Compressed Turbulence

    SciTech Connect (OSTI)

    Israel, Daniel M. [Los Alamos National Laboratory

    2012-07-13T23:59:59.000Z

    From ICE to ICF, the effect of mean compression or expansion is important for predicting the state of the turbulence. When developing combustion models, we would like to know the mix state of the reacting species. This involves density and concentration fluctuations. To date, research has focused on the effect of compression on the turbulent kinetic energy. The current work provides constraints to help development and calibration for models of species mixing effects in compressed turbulence. The Cambon, et al., re-scaling has been extended to buoyancy driven turbulence, including the fluctuating density, concentration, and temperature equations. The new scalings give us helpful constraints for developing and validating RANS turbulence models.

  16. Semiempirical models of sunspots

    SciTech Connect (OSTI)

    Sobotka, M.

    1985-10-01T23:59:59.000Z

    On the basis of spectroscopic observations in the Mg I b1, Fe I 5434 A, and Na I D2 lines, 12 semiempirical models of sunspots of different sizes (r umbral radius, 2-8 arcsec) are constructed for several stages of their development. It is shown that the model of an umbra varies greatly with an increase in umbral radius up to a limiting value of 3.5-4 arcsec (Su = 7.5 MSH), after which the changes are small, and for a fixed umbral radius there is no significant difference between the models of sunspots in different phases of their development. 16 references.

  17. Tetrade Spin Foam Model

    E-Print Network [OSTI]

    A. Mikovic

    2005-04-26T23:59:59.000Z

    We propose a spin foam model of four-dimensional quantum gravity which is based on the integration of the tetrads in the path integral for the Palatini action of General Relativity. In the Euclidian gravity case we show that the model can be understood as a modification of the Barrett-Crane spin foam model. Fermionic matter can be coupled by using the path integral with sources for the tetrads and the spin connection, and the corresponding state sum is based on a spin foam where both the edges and the faces are colored independently with the irreducible representations of the spacetime rotations group.

  18. Modeling EERE Deployment Programs

    SciTech Connect (OSTI)

    Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.

    2007-11-08T23:59:59.000Z

    The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, “Modeling EERE Deployment Programs,” sponsored by the Planning, Analysis, and Evaluation office within the Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.

  19. RSMASS system model development

    SciTech Connect (OSTI)

    Marshall, A.C.; Gallup, D.R.

    1998-07-01T23:59:59.000Z

    RSMASS system mass models have been used for more than a decade to make rapid estimates of space reactor power system masses. This paper reviews the evolution of the RSMASS models and summarizes present capabilities. RSMASS has evolved from a simple model used to make rough estimates of space reactor and shield masses to a versatile space reactor power system model. RSMASS uses unique reactor and shield models that permit rapid mass optimization calculations for a variety of space reactor power and propulsion systems. The RSMASS-D upgrade of the original model includes algorithms for the balance of the power system, a number of reactor and shield modeling improvements, and an automatic mass optimization scheme. The RSMASS-D suite of codes cover a very broad range of reactor and power conversion system options as well as propulsion and bimodal reactor systems. Reactor choices include in-core and ex-core thermionic reactors, liquid metal cooled reactors, particle bed reactors, and prismatic configuration reactors. Power conversion options include thermoelectric, thermionic, Stirling, Brayton, and Rankine approaches. Program output includes all major component masses and dimensions, efficiencies, and a description of the design parameters for a mass optimized system. In the past, RSMASS has been used as an aid to identify and select promising concepts for space power applications. The RSMASS modeling approach has been demonstrated to be a valuable tool for guiding optimization of the power system design; consequently, the model is useful during system design and development as well as during the selection process. An improved in-core thermionic reactor system model RSMASS-T is now under development. The current development of the RSMASS-T code represents the next evolutionary stage of the RSMASS models. RSMASS-T includes many modeling improvements and is planned to be more user-friendly. RSMASS-T will be released as a fully documented, certified code at the end of 1998. A radioisotope space power system model RISMASS is also under development. RISMASS will optimize and predict system masses for radioisotope power sources coupled with close-spaced thermionic diodes. Although RSMASS-D models have been developed for a broad variety of space nuclear power and propulsion systems, only a few concepts will be included in the releasable RSMASS-T computer code. A follow-on effort is recommended to incorporate all previous models as well as solar power system models into one general code. The proposed Space Power and propulsion system MASS (SPMASS) code would provide a consistent analysis tool for comparing a very broad range of alternative power and propulsion systems for any required power level and operating conditions. As for RSMASS-T the SPMASS model should be a certified, fully documented computer code available for general use. The proposed computer program would provide space mission planners with the capability to quickly and cost effectively explore power system options for any space mission. The code should be applicable for power requirements from as low as a few milliwatts (solar and isotopic system options) to many megawatts for reactor power and propulsion systems.

  20. Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis

    E-Print Network [OSTI]

    Oakley, Jeremy

    Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis Tom Fricker University discrepancy in the Saturated Path Hydrology Model (logSPM, Kuczera et al., 2006). The purpose). 1 #12;3 The Saturated Path Hydrology Model We consider the Saturated Path Hydrology Model (log

  1. Who benefits from the US withdrawal of the Kyoto protocol?

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    gases. This convention, called the United Nations Framework Convention on Climate Change (UNFCCC and that Japan and Russia benefited from the United States withdrawal (in term of a priori decisional power). Key-made) interference with the climate system". The UNFCCC is the governing body for international negotiations

  2. Refining climate models

    ScienceCinema (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2014-06-26T23:59:59.000Z

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  3. Wire and column modeling

    E-Print Network [OSTI]

    Mandal, Esan

    2004-09-30T23:59:59.000Z

    The goal of this thesis is to introduce new methods to create intricate perforated shapes in a computing environment. Modeling shapes with a large number of holes and handles, while requiring minimal human interaction, is an unsolved research...

  4. Model Wind Ordinance

    Broader source: Energy.gov [DOE]

    ''Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative...

  5. Refining climate models

    SciTech Connect (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2012-10-31T23:59:59.000Z

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  6. Theory Modeling and Simulation

    SciTech Connect (OSTI)

    Shlachter, Jack [Los Alamos National Laboratory

    2012-08-23T23:59:59.000Z

    Los Alamos has a long history in theory, modeling and simulation. We focus on multidisciplinary teams that tackle complex problems. Theory, modeling and simulation are tools to solve problems just like an NMR spectrometer, a gas chromatograph or an electron microscope. Problems should be used to define the theoretical tools needed and not the other way around. Best results occur when theory and experiments are working together in a team.

  7. Improved steamflood analytical model

    E-Print Network [OSTI]

    Chandra, Suandy

    2006-10-30T23:59:59.000Z

    two field cases, a 45x23x8 model was used that represented 1/8 of a 10-acre 5-spot pattern unit, using typical rock and reservoir fluid properties. In the SPE project case, three models were used: 23x12x12 (2.5 ac), 31x16x12 (5 ac) and 45x23x8 (10 ac...

  8. ADVANCED CHEMISTRY BASINS MODEL

    SciTech Connect (OSTI)

    William Goddard III; Lawrence Cathles III; Mario Blanco; Paul Manhardt; Peter Meulbroek; Yongchun Tang

    2004-05-01T23:59:59.000Z

    The advanced Chemistry Basin Model project has been operative for 48 months. During this period, about half the project tasks are on projected schedule. On average the project is somewhat behind schedule (90%). Unanticipated issues are causing model integration to take longer then scheduled, delaying final debugging and manual development. It is anticipated that a short extension will be required to fulfill all contract obligations.

  9. SUSY GUT Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2008-08-27T23:59:59.000Z

    I discuss an evolution of SUSY GUT model building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.

  10. Hoechst Celanese Energy Model

    E-Print Network [OSTI]

    Fitzpatrick, B. A.; Gangadhar, K.

    day, this report documents the key operating variables for optimal operation of plant energy systems, such as boiler load, breakdowns, steam vents and turbo-generator stage flows. LINEAR PROGRAMMING APPROACH Linear programming is an optimization... and for ongoing plant optimization. The model optimizes variable utilities production costs using a linear programming approach. Every operating area provides input to the model for use in forecasting their utilities demand. All costs associated...

  11. Learning planar ising models

    SciTech Connect (OSTI)

    Johnson, Jason K [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory; Netrapalli, Praneeth [STUDENT UT AUSTIN

    2010-11-12T23:59:59.000Z

    Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However, exact inference is intractable in general graphical models, which suggests the problem of seeking the best approximation to a collection of random variables within some tractable family of graphical models. In this paper, we focus our attention on the class of planar Ising models, for which inference is tractable using techniques of statistical physics [Kac and Ward; Kasteleyn]. Based on these techniques and recent methods for planarity testing and planar embedding [Chrobak and Payne], we propose a simple greedy algorithm for learning the best planar Ising model to approximate an arbitrary collection of binary random variables (possibly from sample data). Given the set of all pairwise correlations among variables, we select a planar graph and optimal planar Ising model defined on this graph to best approximate that set of correlations. We present the results of numerical experiments evaluating the performance of our algorithm.

  12. Generic CSP Performance Model for NREL's System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Zhu, G.

    2011-08-01T23:59:59.000Z

    The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.

  13. Modal aerosol dynamics modeling

    SciTech Connect (OSTI)

    Whitby, E.R.; McMurry, P.H.; Shankar, U.; Binkowski, F.S.

    1991-02-01T23:59:59.000Z

    The report presents the governing equations for representing aerosol dynamics, based on several different representations of the aerosol size distribution. Analytical and numerical solution techniques for these governing equations are also reviewed. Described in detail is a computationally efficient numerical technique for simulating aerosol behavior in systems undergoing simultaneous heat transfer, fluid flow, and mass transfer in and between the gas and condensed phases. The technique belongs to a general class of models known as modal aerosol dynamics (MAD) models. These models solve for the temporal and spatial evolution of the particle size distribution function. Computational efficiency is achieved by representing the complete aerosol population as a sum of additive overlapping populations (modes), and solving for the time rate of change of integral moments of each mode. Applications of MAD models for simulating aerosol dynamics in continuous stirred tank aerosol reactors and flow aerosol reactors are provided. For the application to flow aerosol reactors, the discussion is developed in terms of considerations for merging a MAD model with the SIMPLER routine described by Patankar (1980). Considerations for incorporating a MAD model into the U.S. Environmental Protection Agency's Regional Particulate Model are also described. Numerical and analytical techniques for evaluating the size-space integrals of the modal dynamics equations (MDEs) are described. For multimodal logonormal distributions, an analytical expression for the coagulation integrals of the MDEs, applicable for all size regimes, is derived, and is within 20% of accurate numerical evaluation of the same moment coagulation integrals. A computationally efficient integration technique, based on Gauss-Hermite numerical integration, is also derived.

  14. Multiscale Thermohydrologic Model

    SciTech Connect (OSTI)

    T. Buscheck

    2004-10-12T23:59:59.000Z

    The purpose of the multiscale thermohydrologic model (MSTHM) is to predict the possible range of thermal-hydrologic conditions, resulting from uncertainty and variability, in the repository emplacement drifts, including the invert, and in the adjoining host rock for the repository at Yucca Mountain. Thus, the goal is to predict the range of possible thermal-hydrologic conditions across the repository; this is quite different from predicting a single expected thermal-hydrologic response. The MSTHM calculates the following thermal-hydrologic parameters: temperature, relative humidity, liquid-phase saturation, evaporation rate, air-mass fraction, gas-phase pressure, capillary pressure, and liquid- and gas-phase fluxes (Table 1-1). These thermal-hydrologic parameters are required to support ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' (BSC 2004 [DIRS 168504]). The thermal-hydrologic parameters are determined as a function of position along each of the emplacement drifts and as a function of waste package type. These parameters are determined at various reference locations within the emplacement drifts, including the waste package and drip-shield surfaces and in the invert. The parameters are also determined at various defined locations in the adjoining host rock. The MSTHM uses data obtained from the data tracking numbers (DTNs) listed in Table 4.1-1. The majority of those DTNs were generated from the following analyses and model reports: (1) ''UZ Flow Model and Submodels'' (BSC 2004 [DIRS 169861]); (2) ''Development of Numerical Grids for UZ Flow and Transport Modeling'' (BSC 2004); (3) ''Calibrated Properties Model'' (BSC 2004 [DIRS 169857]); (4) ''Thermal Conductivity of the Potential Repository Horizon'' (BSC 2004 [DIRS 169854]); (5) ''Thermal Conductivity of the Non-Repository Lithostratigraphic Layers'' (BSC 2004 [DIRS 170033]); (6) ''Ventilation Model and Analysis Report'' (BSC 2004 [DIRS 169862]); (7) ''Heat Capacity Analysis Report'' (BSC 2004 [DIRS 170003]).

  15. Foothills Model Forest Business Strategy

    E-Print Network [OSTI]

    Foothills Model Forest Business Strategy 2007 ­ 2012 November 2006 #12;Page ii TABLE OF CONTENTS FOOTHILLS MODEL FOREST Business Strategy for April 2007 to March 2012 1.0 INTRODUCTION....................................................................................................................... 4 2.4 Foothills Model Forest Values

  16. Data Modeling and Theory Construction

    E-Print Network [OSTI]

    Jan de Leeuw

    2011-01-01T23:59:59.000Z

    MODELING AND THEORY CONSTRUCTION F. Suppe. The Structure ofMODELING AND THEORY CONSTRUCTION JAN DE LEEUW This paper wasMODELING AND THEORY CONSTRUCTION F????? 1. The Scientist

  17. The Standard Cosmological Model

    E-Print Network [OSTI]

    Douglas Scott

    2005-10-26T23:59:59.000Z

    The Standard Model of Particle Physics (SMPP) is an enormously successful description of high energy physics, driving ever more precise measurements to find "physics beyond the standard model", as well as providing motivation for developing more fundamental ideas that might explain the values of its parameters. Simultaneously, a description of the entire 3-dimensional structure of the present-day Universe is being built up painstakingly. Most of the structure is stochastic in nature, being merely the result of the particular realisation of the "initial conditions" within our observable Universe patch. However, governing this structure is the Standard Model of Cosmology (SMC), which appears to require only about a dozen parameters. Cosmologists are now determining the values of these quantities with increasing precision in order to search for "physics beyond the standard model", as well as trying to develop an understanding of the more fundamental ideas which might explain the values of its parameters. Although it is natural to see analogies between the two Standard Models, some intrinsic differences also exist, which are discussed here. Nevertheless, a truly fundamental theory will have to explain both the SMPP and SMC, and this must include an appreciation of which elements are deterministic and which are accidental. Considering different levels of stochasticity within cosmology may make it easier to accept that physical parameters in general might have a non-deterministic aspect.

  18. Advanced Chemistry Basins Model

    SciTech Connect (OSTI)

    Blanco, Mario; Cathles, Lawrence; Manhardt, Paul; Meulbroek, Peter; Tang, Yongchun

    2003-02-13T23:59:59.000Z

    The objective of this project is to: (1) Develop a database of additional and better maturity indicators for paleo-heat flow calibration; (2) Develop maturation models capable of predicting the chemical composition of hydrocarbons produced by a specific kerogen as a function of maturity, heating rate, etc.; assemble a compositional kinetic database of representative kerogens; (3) Develop a 4 phase equation of state-flash model that can define the physical properties (viscosity, density, etc.) of the products of kerogen maturation, and phase transitions that occur along secondary migration pathways; (4) Build a conventional basin model and incorporate new maturity indicators and data bases in a user-friendly way; (5) Develop an algorithm which combines the volume change and viscosities of the compositional maturation model to predict the chemistry of the hydrocarbons that will be expelled from the kerogen to the secondary migration pathways; (6) Develop an algorithm that predicts the flow of hydrocarbons along secondary migration pathways, accounts for mixing of miscible hydrocarbon components along the pathway, and calculates the phase fractionation that will occur as the hydrocarbons move upward down the geothermal and fluid pressure gradients in the basin; and (7) Integrate the above components into a functional model implemented on a PC or low cost workstation.

  19. Sandia National Laboratories: Modeling & Analysis

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

    Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...

  20. Simple ocean carbon cycle models

    SciTech Connect (OSTI)

    Caldeira, K. [Lawrence Livermore National Lab., CA (United States); Hoffert, M.I. [New York Univ., NY (United States). Dept. of Earth System Sciences; Siegenthaler, U. [Bern Univ. (Switzerland). Inst. fuer Physik

    1994-02-01T23:59:59.000Z

    Simple ocean carbon cycle models can be used to calculate the rate at which the oceans are likely to absorb CO{sub 2} from the atmosphere. For problems involving steady-state ocean circulation, well calibrated ocean models produce results that are very similar to results obtained using general circulation models. Hence, simple ocean carbon cycle models may be appropriate for use in studies in which the time or expense of running large scale general circulation models would be prohibitive. Simple ocean models have the advantage of being based on a small number of explicit assumptions. The simplicity of these ocean models facilitates the understanding of model results.

  1. Exponential Family Random Network Models

    E-Print Network [OSTI]

    Fellows, Ian

    2012-01-01T23:59:59.000Z

    second block model nodal attributes, and the last are joint.second block model nodal attributes, and the last are joint.

  2. Modelling Quintessential Inflation with Branes

    E-Print Network [OSTI]

    Konstantinos Dimopoulos

    2002-10-17T23:59:59.000Z

    I discuss why quintessential inflation model-building is more natural in the context of brane cosmology and study the dynamics of a particular model as an example.

  3. Business models of information aggregators

    E-Print Network [OSTI]

    Hu, Jiangxia, S.M. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    This thesis identifies the specific characteristics of information aggregators, and proposes nine business models appropriate for information aggregators. These nine models are: advertising, brokerage, subscription, ...

  4. Ocean General Circulation Models

    SciTech Connect (OSTI)

    Yoon, Jin-Ho; Ma, Po-Lun

    2012-09-30T23:59:59.000Z

    1. Definition of Subject The purpose of this text is to provide an introduction to aspects of oceanic general circulation models (OGCMs), an important component of Climate System or Earth System Model (ESM). The role of the ocean in ESMs is described in Chapter XX (EDITOR: PLEASE FIND THE COUPLED CLIMATE or EARTH SYSTEM MODELING CHAPTERS). The emerging need for understanding the Earth’s climate system and especially projecting its future evolution has encouraged scientists to explore the dynamical, physical, and biogeochemical processes in the ocean. Understanding the role of these processes in the climate system is an interesting and challenging scientific subject. For example, a research question how much extra heat or CO2 generated by anthropogenic activities can be stored in the deep ocean is not only scientifically interesting but also important in projecting future climate of the earth. Thus, OGCMs have been developed and applied to investigate the various oceanic processes and their role in the climate system.

  5. Modeling of engine sprays

    SciTech Connect (OSTI)

    Bracco, F.V.

    1985-01-01T23:59:59.000Z

    Atomization and full-cone sprays from single cylindrical orifices are considered. The following subjects are reviewed: the structure of the breakup region; the structure of the far field; modern models that, given the outcome of the breakup process, compute the steady and transient of sprays; some comparisons with detailed measurements; and some practical applications. The following conclusions are reached: the spray breakup and the development regions are the most relevant in engine applications; the inner structure of the breakup region is still largely unknown; two- and three-dimensional spray models are available but remain mostly untested, particularly in their vaporization and combustion components, in part because of a lack of accurate measurements in controlled engine-type environments; engine applications of such models are, nonetheless, recommended for very valuable learning, interpretative, and exploratory studies, but not for predictions.

  6. A Quantum Production Model

    E-Print Network [OSTI]

    Luís Tarrataca; Andreas Wichert

    2015-02-06T23:59:59.000Z

    The production system is a theoretical model of computation relevant to the artificial intelligence field allowing for problem solving procedures such as hierarchical tree search. In this work we explore some of the connections between artificial intelligence and quantum computation by presenting a model for a quantum production system. Our approach focuses on initially developing a model for a reversible production system which is a simple mapping of Bennett's reversible Turing machine. We then expand on this result in order to accommodate for the requirements of quantum computation. We present the details of how our proposition can be used alongside Grover's algorithm in order to yield a speedup comparatively to its classical counterpart. We discuss the requirements associated with such a speedup and how it compares against a similar quantum hierarchical search approach.

  7. Calibrated Properties Model

    SciTech Connect (OSTI)

    H. H. Liu

    2003-02-14T23:59:59.000Z

    This report has documented the methodologies and the data used for developing rock property sets for three infiltration maps. Model calibration is necessary to obtain parameter values appropriate for the scale of the process being modeled. Although some hydrogeologic property data (prior information) are available, these data cannot be directly used to predict flow and transport processes because they were measured on scales smaller than those characterizing property distributions in models used for the prediction. Since model calibrations were done directly on the scales of interest, the upscaling issue was automatically considered. On the other hand, joint use of data and the prior information in inversions can further increase the reliability of the developed parameters compared with those for the prior information. Rock parameter sets were developed for both the mountain and drift scales because of the scale-dependent behavior of fracture permeability. Note that these parameter sets, except those for faults, were determined using the 1-D simulations. Therefore, they cannot be directly used for modeling lateral flow because of perched water in the unsaturated zone (UZ) of Yucca Mountain. Further calibration may be needed for two- and three-dimensional modeling studies. As discussed above in Section 6.4, uncertainties for these calibrated properties are difficult to accurately determine, because of the inaccuracy of simplified methods for this complex problem or the extremely large computational expense of more rigorous methods. One estimate of uncertainty that may be useful to investigators using these properties is the uncertainty used for the prior information. In most cases, the inversions did not change the properties very much with respect to the prior information. The Output DTNs (including the input and output files for all runs) from this study are given in Section 9.4.

  8. Appendix 3-3-The complete model formulation for detailed multiple release software product simulation model

    E-Print Network [OSTI]

    Rahmandad, Hazhir

    simulation model In this appendix the model formulations for the detailed simulation model (discussed

  9. Morphological modeling of neurons

    E-Print Network [OSTI]

    Mulchandani, Kishore

    1995-01-01T23:59:59.000Z

    of the Bifurcation Model . 2. Extension to Multifurcations 3. Diameter Dependence and Rail's Ratio . D. Representation of Somata E. Representation of the Environment 5 7 7 7 9 10 10 14 14 14 16 L-SYSTEM MODELING . A. L-system Grammars Can Generate... morphologies generated for a uniform logical space would have to be mapped into the generally non-uniform physical space. We suggest a so- lution to this problem which involves the use of three-dimensional grids and mapping these grids between the uniform...

  10. Modeling of buried explosions

    SciTech Connect (OSTI)

    Gaffney, E.S.; Wohletz, K.H.; House, J.W.; Brown, J.A.

    1987-01-01T23:59:59.000Z

    Los Alamos National Laboratory has been and continues developing techniques for modeling buried explosions using a large geotechnical centrifuge. When fully developed, the techniques should permit the accurate modeling of large explosions in complex geometries. Our intentional application is to study the phenomena of explosive cavity formation and collapse. However, the same methods should also be applicable to simulation of bursts shallow enough to produce craters, and perhaps even of airbursts in situations where soil overburden is important. We have placed primary emphasis on test bed construction methods and on accurate measurement of the ground shock produced by the explosions. 8 refs., 7 figs.

  11. Pistons modeled by potentials

    E-Print Network [OSTI]

    Guglielmo Fucci; Klaus Kirsten; Pedro Morales

    2011-06-03T23:59:59.000Z

    In this article we consider a piston modelled by a potential in the presence of extra dimensions. We analyze the functional determinant and the Casimir effect for this configuration. In order to compute the determinant and Casimir force we employ the zeta function scheme. Essentially, the computation reduces to the analysis of the zeta function associated with a scalar field living on an interval $[0,L]$ in a background potential. Although, as a model for a piston, it seems reasonable to assume a potential having compact support within $[0,L]$, we provide a formalism that can be applied to any sufficiently smooth potential.

  12. High School Students' Modeling Knowledge High School Students' Modeling Knowledge

    E-Print Network [OSTI]

    High School Students' Modeling Knowledge High School Students' Modeling Knowledge David Fortus of the authors. #12;High School Students' Modeling Knowledge Abstract Modeling is a core scientific practice a learning progression for this practice, focusing on the late elementary and early middle school years

  13. Business surveys modelling with Seasonal-Cyclical Long Memory models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Business surveys modelling with Seasonal-Cyclical Long Memory models Ferrara L. and Guégan D. 2nd business surveys released by the European Commission. We introduce an innovative way for modelling those linear models. Keywords: Euro area, nowcasting, business surveys, seasonal, long memory. JEL

  14. Stochastic Modeling Techniques: Understanding and using hidden Markov models

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Tutorial Stochastic Modeling Techniques: Understanding and using hidden Markov models Leslie Grate¨olander kimmen@cse.ucsc.edu 1 #12; Contents 1 Introduction 3 2 Mathematical Foundations of Stochastic Models 4 2 : : : : : : : : : : : : : : : : : : : : : : : : : : 27 7 Validating a model 30 8 Local HMM installation 31 8.1 Obtaining SAM and HMMer

  15. Ecological Modelling 192 (2006) 143159 Nitrogen transformation and transport modeling

    E-Print Network [OSTI]

    Clement, Prabhakar

    model; Transformation; Transport; Nitrification; Denitrification; RT3D 1. Introduction Nitrogen of this paper are to develop a nitro- gen transport and transformation model for saturated groundwater systemsEcological Modelling 192 (2006) 143­159 Nitrogen transformation and transport modeling

  16. Estimation of Two Popular Econometric Models: Random Effects Panel Data Model and Simultaneous Equations Model

    E-Print Network [OSTI]

    Liu, Yue

    2013-01-01T23:59:59.000Z

    1994. [9] Greene, W. B. , Econometric Analysis, Pearson /and Semiparametric Panel Econometric Models: Estimation andDEPendent models. This econometric software package was

  17. Short-term hydroelectric generation model. Model documentation report

    SciTech Connect (OSTI)

    NONE

    1996-12-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Energy Information Administration`s (EIA) Short-Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the EIA`s legal obligation to provide adequate documentation in support of its models.

  18. Modeling the earth system

    SciTech Connect (OSTI)

    Ojima, D. [ed.

    1992-12-31T23:59:59.000Z

    The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.

  19. Dynamic Modelling, Measurement and

    E-Print Network [OSTI]

    Fernandez, Thomas

    Dynamic Modelling, Measurement and Control of Co-rotating Twin-Screw Extruders Justin Rae Elsey, B;Summary Co-rotating twin-screw extruders are unique and versatile machines that are used widely that these extruders are currently being optimally utilised. The most signi cant improvement to the eld of twin-screw

  20. Introduction Model Formulation

    E-Print Network [OSTI]

    Gugat, Martin

    Two-Phase Flow Peter Knabner, Estelle Marchand, Torsten M¨uller Department Mathematics Friedrich June 13th, 2011 Peter Knabner, Estelle Marchand, Torsten M¨uller The Mathematics of Porous Media 2011 1 / 30 #12;Introduction Model Formulation Results Outline 1 Introduction Peter Knabner, Estelle Marchand

  1. Gas Kick Mechanistic Model

    E-Print Network [OSTI]

    Zubairy, Raheel

    2014-04-18T23:59:59.000Z

    -gain and temperature profile in the annulus. This research focuses on these changes in these parameters to be able to detect the occurrence of gas kick and the circulation of the gas kick out from the well. In this thesis, we have developed a model that incorporates...

  2. Rheological Model for Wood

    E-Print Network [OSTI]

    Mohammad Masoud Hassani; Falk K. Wittel; Stefan Hering; Hans J. Herrmann

    2014-10-15T23:59:59.000Z

    Wood as the most important natural and renewable building material plays an important role in the construction sector. Nevertheless, its hygroscopic character basically affects all related mechanical properties leading to degradation of material stiffness and strength over the service life. Accordingly, to attain reliable design of the timber structures, the influence of moisture evolution and the role of time- and moisture-dependent behaviors have to be taken into account. For this purpose, in the current study a 3D orthotropic elasto-plastic, visco-elastic, mechano-sorptive constitutive model for wood, with all material constants being defined as a function of moisture content, is presented. The corresponding numerical integration approach, with additive decomposition of the total strain is developed and implemented within the framework of the finite element method (FEM). Moreover to preserve a quadratic rate of asymptotic convergence the consistent tangent operator for the whole model is derived. Functionality and capability of the presented material model are evaluated by performing several numerical verification simulations of wood components under different combinations of mechanical loading and moisture variation. Additionally, the flexibility and universality of the introduced model to predict the mechanical behavior of different species are demonstrated by the analysis of a hybrid wood element. Furthermore, the proposed numerical approach is validated by comparisons of computational evaluations with experimental results.

  3. Modelling radio communication

    E-Print Network [OSTI]

    Suomela, Jukka

    realistic models of application layer #12;Example ­ multiple radios #12;Very common scenario · HTTP GETModelling radio communication from the perspective of mobile apps Jukka Suomela · Aalto University · Finland WRAWN · 15 July 2014 Addressing real-world challenges, building on existing infrastructure #12

  4. Multidimensional Model Programming

    E-Print Network [OSTI]

    Hunt, Galen

    #12;Multidimensional Model Programming SQL Server 2012 Books Online Summary: Analysis Services provides several APIs that you can use to program against an Analysis Services instance this information to choose the programming interface that best meets the requirements of a particular project

  5. LAGRANGIAN COORDINATES AND MULTICLASS MODELS

    E-Print Network [OSTI]

    Vuik, Kees

    LAGRANGIAN COORDINATES AND MULTICLASS MODELS The kinematic wave model, also known as the Lighthill. introduced a kinematic wave model with multiple user classes (7). They show qualitatively Formulation of Multiclass Kinematic Wave Model Femke van Wageningen-Kessels, Hans van Lint, Serge P

  6. Interactive modeler for cloth draping

    E-Print Network [OSTI]

    Thumrugoti, Umakanth

    2012-06-07T23:59:59.000Z

    Cloth modeling is a challenging field in computer graphics, being a typical example of a soft-object. One of the approaches toward modeling cloth is a geometric approach. This thesis develops a conceptual model for modeling cloth drape using a...

  7. A model for projectile fragmentation

    E-Print Network [OSTI]

    Chaudhuri, G; Gupta, S Das

    2012-01-01T23:59:59.000Z

    A model for projectile fragmentation is developed whose origin can be traced back to the Bevalac era. The model positions itself between the phenomenological EPAX parametrization and microscopic transport models like "Heavy Ion Phase Space Exploration" (HIPSE) model and antisymmetrised molecular dynamics (AMD) model. A very simple impact parameter dependence of input temperature is incorporated in the model which helps to analyze the more peripheral collisions. The model is applied to calculate the charge, isotopic distributions, average number of intermediate mass fragments and the average size of largest cluster at different $Z_{bound}$ of different projectile fragmentation reactions at different energies.

  8. Business Model Resources | Department of Energy

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

    Run a Program Getting Started Business Model Resources Business Model Resources Business Models Guide Business Model Planning Resources - Working with Partners Sample Program...

  9. Nuclear Systems Modeling & Simulation | More Science | ORNL

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

    Systems Modeling and Simulation SHARE Nuclear Systems Modeling and Simulation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion model for the...

  10. GROUT HOPPER MODELING STUDY

    SciTech Connect (OSTI)

    Lee, S.

    2011-08-30T23:59:59.000Z

    The Saltstone facility has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The dry feeds and the salt solution are already mixed in the mixer prior to being transferred to the hopper tank. The hopper modeling study through this work will focus on fluid stirring and agitation, instead of traditional mixing in the literature, in order to keep the tank contents in motion during their residence time so that they will not be upset or solidified prior to transferring the grout to the Saltstone disposal facility. The primary objective of the work is to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation. Steady state analyses with a two-equation turbulence model were performed with the FLUENT{trademark} codes. All analyses were based on three-dimensional results. Recommended operational guidance was developed by using the basic concept that local shear rate profiles and flow patterns can be used as a measure of hydraulic performance and spatial stirring. Flow patterns were estimated by a Lagrangian integration technique along the flow paths from the material feed inlet. The modeling results show that when the two-stage agitator consisting of a 45{sup o} pitched propeller and radial flat-plate blades is run at 140 rpm speed with 28 in diameter, the agitator provides an adequate stirring of the feed materials for a wide range of yield stresses (1 to 21 Pa) and the vortex system is shed into the remote region of the tank boundary by the blade passage in an efficient way. The results of this modeling study were used to develop the design guidelines for the agitator stirring and dispersion of the Saltstone feed materials in a hopper tank.

  11. LLNL Chemical Kinetics Modeling Group

    SciTech Connect (OSTI)

    Pitz, W J; Westbrook, C K; Mehl, M; Herbinet, O; Curran, H J; Silke, E J

    2008-09-24T23:59:59.000Z

    The LLNL chemical kinetics modeling group has been responsible for much progress in the development of chemical kinetic models for practical fuels. The group began its work in the early 1970s, developing chemical kinetic models for methane, ethane, ethanol and halogenated inhibitors. Most recently, it has been developing chemical kinetic models for large n-alkanes, cycloalkanes, hexenes, and large methyl esters. These component models are needed to represent gasoline, diesel, jet, and oil-sand-derived fuels.

  12. Natural Poincare gauge model

    SciTech Connect (OSTI)

    Aldrovandi, R.; Pereira, J.G.

    1986-05-15T23:59:59.000Z

    Because it acts on space-time and is not semisimple, the Poincare group cannot lead to a gauge theory of the usual kind. A candidate model is discussed which keeps itself as close as possible to the typical gauge scheme. Its field equations are the Yang-Mills equations for the Poincare group. It is shown that there exists no Lagrangian for these equations.

  13. The Paradata Information Model

    E-Print Network [OSTI]

    Greenfield, Jay; Carpenter, Danielle

    2013-04-02T23:59:59.000Z

    the Strawman: Generic Longitudinal Business Process Model (GLBPM) Specializing GLBPM The PIM Formalism Sequencing Data Collection, Data Processing and Data Understanding Activities The Microarray Experiment Use Case Understanding Sequences The Gamification... – Understanding Sequences – The Gamification of GSBPM • Next Steps 2 PARADATA IN THE NATIONAL CHILDREN’S STUDY Use Case 3 In the NCS so-called operational data elements were defined and designed to assist in the assessment of feasibility, acceptability...

  14. Paraphrastic Language Models

    E-Print Network [OSTI]

    Liu, X.; Gales, M. J. F.; Woodland, P. C.

    2014-04-30T23:59:59.000Z

    Paraphrastic Language Models X. Liu1, M. J. F. Gales & P. C. Woodland Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, England Abstract Natural languages are known for their expressive richness. Many sentences can... . In section 7 a range of para- phrastic LMs are evaluated on two state-of-the-art speech recognition tasks for English conversational telephone speech and Chinese broadcast speech respectively. Section 8 is the conclusion and possible future work. 2...

  15. Chaplygin electron gas model

    E-Print Network [OSTI]

    I. Radinschi; F. Rahaman; M. Kalam; K. Chakraborty

    2008-11-01T23:59:59.000Z

    We provide a new electromagnetic mass model admitting Chaplygin gas equation of state. We investigate three specializations, the first characterized by a vanishing effective pressure, the second provided with a constant effective density and the third is described by a constant effective pressure. For these specializations two particular cases are discussed. In addition, for specialization I, case I we found isotropic coordinate as well as Kretschmann scalar, and for specialization III, case II two special scenarios have been studied.

  16. Recovery Boiler Modeling

    E-Print Network [OSTI]

    Abdullah, Z.; Salcudean, M.; Nowak, P.

    , east, e, west, w, bot tom, b, and top, t, neighbors. The neighboring cou pling coefficients (an, a., .. , etc) express the magnitudes of the convection and diffusion which occur across the control volume boundaries. The variable b p represents... represents a model of one half of the recovery boiler. The boiler has three air levels. The North, South and East boundaries of the computational domain represent the water walls of the boiler. The West boundary represents a symmetry plane. It should...

  17. Anomaly for Model Building

    E-Print Network [OSTI]

    Utpal Sarkar

    2006-06-19T23:59:59.000Z

    A simple algorithm to calculate the group theory factor entering in anomalies at four and six dimensions for SU(N) and SO(N) groups in terms of the Casimir invariants of their subgroups is presented. Explicit examples of some of the lower dimensional representations of $SU(n), n \\leq 5$ and SO(10) groups are presented, which could be used for model building in four and six dimensions.

  18. Radiolysis Process Model

    SciTech Connect (OSTI)

    Buck, Edgar C.; Wittman, Richard S.; Skomurski, Frances N.; Cantrell, Kirk J.; McNamara, Bruce K.; Soderquist, Chuck Z.

    2012-07-17T23:59:59.000Z

    Assessing the performance of spent (used) nuclear fuel in geological repository requires quantification of time-dependent phenomena that may influence its behavior on a time-scale up to millions of years. A high-level waste repository environment will be a dynamic redox system because of the time-dependent generation of radiolytic oxidants and reductants and the corrosion of Fe-bearing canister materials. One major difference between used fuel and natural analogues, including unirradiated UO2, is the intense radiolytic field. The radiation emitted by used fuel can produce radiolysis products in the presence of water vapor or a thin-film of water (including OH• and H• radicals, O2-, eaq, H2O2, H2, and O2) that may increase the waste form degradation rate and change radionuclide behavior. H2O2 is the dominant oxidant for spent nuclear fuel in an O2 depleted water environment, the most sensitive parameters have been identified with respect to predictions of a radiolysis model under typical conditions. As compared with the full model with about 100 reactions it was found that only 30-40 of the reactions are required to determine [H2O2] to one part in 10–5 and to preserve most of the predictions for major species. This allows a systematic approach for model simplification and offers guidance in designing experiments for validation.

  19. Modeling volcanic ash dispersal

    ScienceCinema (OSTI)

    None

    2011-10-06T23:59:59.000Z

    Explosive volcanic eruptions inject into the atmosphere large amounts of volcanic material (ash, blocks and lapilli). Blocks and larger lapilli follow ballistic and non-ballistic trajectories and fall rapidly close to the volcano. In contrast, very fine ashes can remain entrapped in the atmosphere for months to years, and may affect the global climate in the case of large eruptions. Particles having sizes between these two end-members remain airborne from hours to days and can cover wide areas downwind. Such volcanic fallout entails a serious threat to aircraft safety and can create many undesirable effects to the communities located around the volcano. The assessment of volcanic fallout hazard is an important scientific, economic, and political issue, especially in densely populated areas. From a scientific point of view, considerable progress has been made during the last two decades through the use of increasingly powerful computational models and capabilities. Nowadays, models are used to quantify hazard scenarios and/or to give short-term forecasts during emergency situations. This talk will be focused on the main aspects related to modeling volcanic ash dispersal and fallout with application to the well known problem created by the Eyjafjöll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.

  20. Sequence modelling and an extensible data model for genomic database

    SciTech Connect (OSTI)

    Li, Peter Wei-Der (California Univ., San Francisco, CA (United States) Lawrence Berkeley Lab., CA (United States))

    1992-01-01T23:59:59.000Z

    The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS's do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the Extensible Object Model'', to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

  1. Sequence modelling and an extensible data model for genomic database

    SciTech Connect (OSTI)

    Li, Peter Wei-Der [California Univ., San Francisco, CA (United States); [Lawrence Berkeley Lab., CA (United States)

    1992-01-01T23:59:59.000Z

    The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS`s do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the ``Extensible Object Model``, to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

  2. Modeling for Airborne Contamination

    SciTech Connect (OSTI)

    F.R. Faillace; Y. Yuan

    2000-08-31T23:59:59.000Z

    The objective of Modeling for Airborne Contamination (referred to from now on as ''this report'') is to provide a documented methodology, along with supporting information, for estimating the release, transport, and assessment of dose to workers from airborne radioactive contaminants within the Monitored Geologic Repository (MGR) subsurface during the pre-closure period. Specifically, this report provides engineers and scientists with methodologies for estimating how concentrations of contaminants might be distributed in the air and on the drift surfaces if released from waste packages inside the repository. This report also provides dose conversion factors for inhalation, air submersion, and ground exposure pathways used to derive doses to potentially exposed subsurface workers. The scope of this report is limited to radiological contaminants (particulate, volatile and gaseous) resulting from waste package leaks (if any) and surface contamination and their transport processes. Neutron activation of air, dust in the air and the rock walls of the drift during the preclosure time is not considered within the scope of this report. Any neutrons causing such activation are not themselves considered to be ''contaminants'' released from the waste package. This report: (1) Documents mathematical models and model parameters for evaluating airborne contaminant transport within the MGR subsurface; and (2) Provides tables of dose conversion factors for inhalation, air submersion, and ground exposure pathways for important radionuclides. The dose conversion factors for air submersion and ground exposure pathways are further limited to drift diameters of 7.62 m and 5.5 m, corresponding to the main and emplacement drifts, respectively. If the final repository design significantly deviates from these drift dimensions, the results in this report may require revision. The dose conversion factors are further derived by using concrete of sufficient thickness to simulate the drift walls. The gamma-ray scattering properties of concrete are sufficiently similar to those of the host rock and proposed insert material; use of concrete will have no significant impact on the conclusions. The information in this report is presented primarily for use in performing pre-closure radiological safety evaluations of radiological contaminants, but it may also be used to develop strategies for contaminant leak detection and monitoring in the MGR. Included in this report are the methods for determining the source terms and release fractions, and mathematical models and model parameters for contaminant transport and distribution within the repository. Various particle behavior mechanisms that affect the transport of contaminant are included. These particle behavior mechanisms include diffusion, settling, resuspension, agglomeration and other deposition mechanisms.

  3. Comparison of Photovoltaic Models in the System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Blair, N. J.; Dobos, A. P.; Gilman, P.

    2013-08-01T23:59:59.000Z

    The System Advisor Model (SAM) is free software developed by the National Renewable Energy Laboratory (NREL) for predicting the performance of renewable energy systems and analyzing the financial feasibility of residential, commercial, and utility-scale grid-connected projects. SAM offers several options for predicting the performance of photovoltaic (PV) systems. The model requires that the analyst choose from three PV system models, and depending on that choice, possibly choose from three module and two inverter component models. To obtain meaningful results from SAM, the analyst must be aware of the differences between the model options and their applicability to different modeling scenarios. This paper presents an overview the different PV model options and presents a comparison of results for a 200-kW system using different model options.

  4. Modeling prosodic features in language models for meetings. 

    E-Print Network [OSTI]

    Huang, Songfang; Renals, Steve

    2007-01-01T23:59:59.000Z

    In this paper we investigate the application of a novel technique for language modeling - a hierarchical Bayesian language model (LM) based on the Pitman-Yor process - on automatic speech recognition (ASR) for multiparty meetings. The hierarchical...

  5. Model building in neural networks with hidden Markov models 

    E-Print Network [OSTI]

    Wynne-Jones, Michael

    This thesis concerns the automatic generation of architectures for neural networks and other pattern recognition models comprising many elements of the same type. The requirement for such models, with automatically ...

  6. Random Item Modeling: An Extension and Generalization of MIRID models

    E-Print Network [OSTI]

    Lee, Yongsang

    2010-01-01T23:59:59.000Z

    be seen in both the RF- and the RR-MIRD models and meets ourthe FR- MIRID and the RR-MIRD show the better fit than thestudy shows how various RI-MIRD models fit verbal aggression

  7. Testing of the METSTAT model

    SciTech Connect (OSTI)

    Vignola, F. [Univ. of Oregon, Eugene, OR (United States). Physics Dept.

    1997-12-31T23:59:59.000Z

    The METSTAT model is a comprehensive model for estimating insolation on an hourly basis from cloud cover and other meteorological data. However, the METSTAT model does not reproduce the statistics found in measured daily data during periods of extensive cloud cover. In this study, METSTAT modeled estimates and measured hourly solar radiation data from Burns and Eugene Oregon are examined and compared. A source of the discrepancy between the modeled and measured data is identified. Slight modifications to the METSTAT model that significantly reduce the discrepancy are demonstrated for the Burns and Eugene sites.

  8. EG-Models -A New Journal for Digital Geometry Models

    E-Print Network [OSTI]

    Polthier, Konrad

    to build up large col- lections of plaster models in the 19th century for educational purposes and the plaster collections with mod- ern computer tools. But the possibilities of the digital models go well beyond those of the libraries with classical plaster shapes and dynamic steel models in earlier days

  9. Gas Distribution Modeling using Sparse Gaussian Process Mixture Models

    E-Print Network [OSTI]

    Stachniss, Cyrill

    Gas Distribution Modeling using Sparse Gaussian Process Mixture Models Cyrill Stachniss1 Christian-- In this paper, we consider the problem of learning a two dimensional spatial model of a gas distribution with a mobile robot. Building maps that can be used to accurately predict the gas concentration at query

  10. Chemical kinetics modeling

    SciTech Connect (OSTI)

    Westbrook, C.K.; Pitz, W.J. [Lawrence Livermore National Laboratory, CA (United States)

    1993-12-01T23:59:59.000Z

    This project emphasizes numerical modeling of chemical kinetics of combustion, including applications in both practical combustion systems and in controlled laboratory experiments. Elementary reaction rate parameters are combined into mechanisms which then describe the overall reaction of the fuels being studied. Detailed sensitivity analyses are used to identify those reaction rates and product species distributions to which the results are most sensitive and therefore warrant the greatest attention from other experimental and theoretical research programs. Experimental data from a variety of environments are combined together to validate the reaction mechanisms, including results from laminar flames, shock tubes, flow systems, detonations, and even internal combustion engines.

  11. Models of granular ratchets

    E-Print Network [OSTI]

    G. Costantini; A. Puglisi; U. Marini Bettolo Marconi

    2009-05-26T23:59:59.000Z

    We study a general model of granular Brownian ratchet consisting of an asymmetric object moving on a line and surrounded by a two-dimensional granular gas, which in turn is coupled to an external random driving force. We discuss the two resulting Boltzmann equations describing the gas and the object in the dilute limit and obtain a closed system for the first few moments of the system velocity distributions. Predictions for the net ratchet drift, the variance of its velocity fluctuations and the transition rates in the Markovian limit, are compared to numerical simulations and a fair agreement is observed.

  12. Integrated Assessment Modeling

    SciTech Connect (OSTI)

    Edmonds, James A.; Calvin, Katherine V.; Clarke, Leon E.; Janetos, Anthony C.; Kim, Son H.; Wise, Marshall A.; McJeon, Haewon C.

    2012-10-31T23:59:59.000Z

    This paper discusses the role of Integrated Assessment models (IAMs) in climate change research. IAMs are an interdisciplinary research platform, which constitutes a consistent scientific framework in which the large-scale interactions between human and natural Earth systems can be examined. In so doing, IAMs provide insights that would otherwise be unavailable from traditional single-discipline research. By providing a broader view of the issue, IAMs constitute an important tool for decision support. IAMs are also a home of human Earth system research and provide natural Earth system scientists information about the nature of human intervention in global biogeophysical and geochemical processes.

  13. Modeling & Simulation publications

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixing UpModeling & Simulation

  14. Enterprise Risk Management Model

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing Zirconia NanoparticlesSmartAffects the FutureEnrico Rossi College2005Model The

  15. Sandia National Laboratories: Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducationStation TechnologyWindInternational SmartModeling Sandia and

  16. Model Verification and Validation

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8Mistakes to Avoid Mistakes toU.S. DOE OfficeModel

  17. Sandia National Laboratories: Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding a MicrogridModeling

  18. Stochastic modeling of Congress

    E-Print Network [OSTI]

    Simkin, M V

    2010-01-01T23:59:59.000Z

    We analyze the dynamics of growth of the number of congressmen supporting the resolution HR1207 to audit the Federal Reserve. The plot of the total number of co-sponsors as a function of time is of "Devil's staircase" type. The distribution of the numbers of new co-sponsors joining during a particular day (step height) follows a power law. The distribution of the length of intervals between additions of new co-sponsors (step length) also follows a power law. We use a modification of Bak-Tang-Wiesenfeld sandpile model to simulate the dynamics of Congress and obtain a good agreement with the data.

  19. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor;2 Outline Introduction Problem Statement Refinery Planning Model Development LP Planning Models NLP Planning Models Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery

  20. A framework for benchmarking land models

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    their inclu- sion in Earth system models (ESMs). State-of-land models cou- pled to Earth system models should simulateland models within Earth system models, however, can help

  1. Tools for dynamic model development

    E-Print Network [OSTI]

    Schaber, Spencer Daniel

    2014-01-01T23:59:59.000Z

    For this thesis, several tools for dynamic model development were developed and analyzed. Dynamic models can be used to simulate and optimize the behavior of a great number of natural and engineered systems, from the ...

  2. Models for solvated biomolecular structures

    E-Print Network [OSTI]

    Cerutti, David

    2007-01-01T23:59:59.000Z

    Point Charge / Extended (SPC/E) [15] [100] and Transferableexplicit water models). In both SPC/E and TIP3P, the siteearlier, models such as TIP3P and SPC/E describe water in a

  3. 3D Modeling with Silhouettes

    E-Print Network [OSTI]

    Rivers, Alec Rothmyer

    We present a new sketch-based modeling approach in which models are interactively designed by drawing their 2D silhouettes from different views. The core idea of our paper is to limit the input to 2D silhouettes, removing ...

  4. Phenomenology Beyond the Standard Model

    E-Print Network [OSTI]

    Joseph D. Lykken

    2005-03-16T23:59:59.000Z

    An elementary review of models and phenomenology for physics beyond the Standard Model (excluding supersymmetry). The emphasis is on LHC physics. Based upon a talk given at the Physics at LHC conference, Vienna, 13-17 July 2004.

  5. The DCC Curation Lifecycle Model 

    E-Print Network [OSTI]

    Higgins, Sarah

    2009-01-01T23:59:59.000Z

    The DCC Curation Lifecycle Model provides a graphical high level overview of the stages required for successful curation and preservation of data from initial conceptualisation or receipt. The model can be used to plan activities within...

  6. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

    We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

  7. Geologic Framework Model (GFM2000)

    SciTech Connect (OSTI)

    T. Vogt

    2004-08-26T23:59:59.000Z

    The purpose of this report is to document the geologic framework model, version GFM2000 with regard to input data, modeling methods, assumptions, uncertainties, limitations, and validation of the model results, and the differences between GFM2000 and previous versions. The version number of this model reflects the year during which the model was constructed. This model supersedes the previous model version, documented in Geologic Framework Model (GFM 3.1) (CRWMS M&O 2000 [DIRS 138860]). The geologic framework model represents a three-dimensional interpretation of the geology surrounding the location of the monitored geologic repository for spent nuclear fuel and high-level radioactive waste at Yucca Mountain. The geologic framework model encompasses and is limited to an area of 65 square miles (168 square kilometers) and a volume of 185 cubic miles (771 cubic kilometers). The boundaries of the geologic framework model (shown in Figure 1-1) were chosen to encompass the exploratory boreholes and to provide a geologic framework over the area of interest for hydrologic flow and radionuclide transport modeling through the unsaturated zone (UZ). The upper surface of the model is made up of the surface topography and the depth of the model is constrained by the inferred depth of the Tertiary-Paleozoic unconformity. The geologic framework model was constructed from geologic map and borehole data. Additional information from measured stratigraphic sections, gravity profiles, and seismic profiles was also considered. The intended use of the geologic framework model is to provide a geologic framework over the area of interest consistent with the level of detailed needed for hydrologic flow and radionuclide transport modeling through the UZ and for repository design. The model is limited by the availability of data and relative amount of geologic complexity found in an area. The geologic framework model is inherently limited by scale and content. The grid spacing used in the geologic framework model (200 feet [61 meters]), discussed in Section 6.4.2, limits the size of features that can be resolved by the model but is appropriate for the distribution of data available and its intended use. Uncertainty and limitations are discussed in Section 6.6 and model validation is discussed in Section 7.

  8. Copula Based Hierarchical Bayesian Models

    E-Print Network [OSTI]

    Ghosh, Souparno

    2010-10-12T23:59:59.000Z

    WITH THE SAME MARGINAL AND CONDITIONAL LINK . 9 III.1. Random effects model . . . . . . . . . . . . . . . . . . . . 12 III.1.1. Logistic link with bridge random effects . . . . . 15 III.1.2. Log-log link with positive stable random effects . 19 III.1.3. Logistic... probabilities for models of various order . . . . . . . . . . . 58 8. Comparison among various mixture-copula models . . . . . . . . . . 59 9. DIC, AAPE and AAD for the two competing models . . . . . . . . . 93 10. Posterior summary of parameters for the two...

  9. Business Model Guide Executive Summary

    Broader source: Energy.gov [DOE]

    The Business Model Guide Executive Summary by the U.S. Department of Energy's Better Buildings Neighborhood Program.

  10. Computer aided nuclear reactor modeling

    E-Print Network [OSTI]

    Warraich, Khalid Sarwar

    1995-01-01T23:59:59.000Z

    CHAPTER Page IV ALPHA ARCHITECTURE Design Philosophy Abstract Data Type Based Modules Grouping by Functions Miscellaneous Design Influences Architecture . . X Window System . Editor Library Model Library User Interface Library . V CONCLUSIONS... Connected Model . . . . , . . . 31 12 13 Header Section Editor Editing a "Choice" Attribute A Table of Vectors . 32 33 . 34 14 15 16 Current Reactor Modeling Schematic Reactor Modeling Schematic with Alpha Public Header File of Vertex Module...

  11. Nonparametric GARCH Models Peter Buhlmann

    E-Print Network [OSTI]

    McNeil, Alexander J.

    Nonparametric GARCH Models Peter Buhlmann #3; Seminar fur Statistik Federal Institute describe a nonparametric GARCH model of #12;rst order and pro- pose a simple iterative algorithm for its GARCH(1,1) modelling, particularly when asymmetries are present in the data. We show how the basic

  12. Reliability onMultilayerModels

    E-Print Network [OSTI]

    László, Jereb

    Network Reliability Analysis Based onMultilayerModels László Jereb, Péter Bajor, Attila Kiss a reliability analysis approach which is based on the multilayer model of the telecommunication network. Simple two­state reliability models are assigned to the network elements making it possible to describe

  13. Introduction Cognitive Models of Science

    E-Print Network [OSTI]

    Janssen, Michel

    Introduction Cognitive Models of Science Ronald N. Giere MINNESOTA STUDIES IN THE PHILOSOPHY OF SCIENCE VOLUME XV Cognitive Models of Science RONALD N. GIERE, EDITOR Terms and Conditions: You may use://www.upress.umn.edu/Books/K/kellert_scientific.html http://www.mcps.umn.edu #12;#12;Cognitive Models of Science, Volume XV RONALD N. GIERE UNIVERSITY

  14. Regions in Energy Market Models

    SciTech Connect (OSTI)

    Short, W.

    2007-02-01T23:59:59.000Z

    This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  15. Biomass from Combined Backseatter Modeling

    E-Print Network [OSTI]

    Weishampel, John F.

    and SAR back- scatter. In this article we discuss' the use of models to help develop a relationship to an airbomw SAR (AIB- SAB) image over a fi?rested area in Maine. A relationship derived totall!l from model results was fi?und to undervs- timate biomass. Calibrating the modeled backscatter with limited AIRSAB

  16. RMP Colloquia Modeling molecular motors

    E-Print Network [OSTI]

    Jülicher, Frank

    The authors present general considerations and simple models for the operation of isothermal motors at small structural differences from the usual Carnot engines. Turning to more explicit models for a single motorRMP Colloquia Modeling molecular motors Frank Ju¨licher,* Armand Ajdari, and Jacques Prost

  17. Bianchi Models with Chaplygin Gas

    E-Print Network [OSTI]

    Gülçin; Uluyazi; Özgür Sevinc

    2012-09-13T23:59:59.000Z

    Einstein Gravitational Field Equations (EFE) of Chaplygin gas dominated Bianchi-type models are obtained by using metric approximation. The solutions of equations for a special case, namely Bianchi I model which is a generalization of isotropic Friedmann-Robertson-Walker (FRW) cosmology, are obtained. The early and late behaviours of some kinematic parameters in model are presented in graphically.

  18. Advanced Chemistry Basins Model

    SciTech Connect (OSTI)

    William Goddard; Mario Blanco; Lawrence Cathles; Paul Manhardt; Peter Meulbroek; Yongchun Tang

    2002-11-10T23:59:59.000Z

    The DOE-funded Advanced Chemistry Basin model project is intended to develop a public domain, user-friendly basin modeling software under PC or low end workstation environment that predicts hydrocarbon generation, expulsion, migration and chemistry. The main features of the software are that it will: (1) afford users the most flexible way to choose or enter kinetic parameters for different maturity indicators; (2) afford users the most flexible way to choose or enter compositional kinetic parameters to predict hydrocarbon composition (e.g., gas/oil ratio (GOR), wax content, API gravity, etc.) at different kerogen maturities; (3) calculate the chemistry, fluxes and physical properties of all hydrocarbon phases (gas, liquid and solid) along the primary and secondary migration pathways of the basin and predict the location and intensity of phase fractionation, mixing, gas washing, etc.; and (4) predict the location and intensity of de-asphaltene processes. The project has be operative for 36 months, and is on schedule for a successful completion at the end of FY 2003.

  19. Model documentation report: Transportation sector model of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-03-01T23:59:59.000Z

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

  20. Key challenges to model-based design : distinguishing model confidence from model validation

    E-Print Network [OSTI]

    Flanagan, Genevieve (Genevieve Elise Cregar)

    2012-01-01T23:59:59.000Z

    Model-based design is becoming more prevalent in industry due to increasing complexities in technology while schedules shorten and budgets tighten. Model-based design is a means to substantiate good design under these ...

  1. Inventory of state energy models

    SciTech Connect (OSTI)

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31T23:59:59.000Z

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  2. Detailed Physical Trough Model for NREL's Solar Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Blair, N.; Dobos, A.

    2010-10-01T23:59:59.000Z

    Solar Advisor Model (SAM) is a free software package made available by the National Renewable Energy Laboratory (NREL), Sandia National Laboratory, and the US Department of Energy. SAM contains hourly system performance and economic models for concentrating solar power (CSP) systems, photovoltaic, solar hot-water, and generic fuel-use technologies. Versions of SAM prior to 2010 included only the parabolic trough model based on Excelergy. This model uses top-level empirical performance curves to characterize plant behavior, and thus is limited in predictive capability for new technologies or component configurations. To address this and other functionality challenges, a new trough model; derived from physical first principles was commissioned to supplement the Excelergy-based empirical model. This new 'physical model' approaches the task of characterizing the performance of the whole parabolic trough plant by replacing empirical curve-fit relationships with more detailed calculations where practical. The resulting model matches the annual performance of the SAM empirical model (which has been previously verified with plant data) while maintaining run-times compatible with parametric analysis, adding additional flexibility in modeled system configurations, and providing more detailed performance calculations in the solar field, power block, piping, and storage subsystems.

  3. Fusion of \\ade Lattice Models

    E-Print Network [OSTI]

    Yu-kui Zhou; Paul A. Pearce

    1994-05-04T23:59:59.000Z

    Fusion hierarchies of \\ade face models are constructed. The fused critical $D$, $E$ and elliptic $D$ models yield new solutions of the Yang-Baxter equations with bond variables on the edges of faces in addition to the spin variables on the corners. It is shown directly that the row transfer matrices of the fused models satisfy special functional equations. Intertwiners between the fused \\ade models are constructed by fusing the cells that intertwine the elementary face weights. As an example, we calculate explicitly the fused $2\\times 2$ face weights of the 3-state Potts model associated with the $D_4$ diagram as well as the fused intertwiner cells for the $A_5$--$D_4$ intertwiner. Remarkably, this $2\\times 2$ fusion yields the face weights of both the Ising model and 3-state CSOS models.

  4. Application of Improved Radiation Modeling to General Circulation Models

    SciTech Connect (OSTI)

    Michael J Iacono

    2011-04-07T23:59:59.000Z

    This research has accomplished its primary objectives of developing accurate and efficient radiation codes, validating them with measurements and higher resolution models, and providing these advancements to the global modeling community to enhance the treatment of cloud and radiative processes in weather and climate prediction models. A critical component of this research has been the development of the longwave and shortwave broadband radiative transfer code for general circulation model (GCM) applications, RRTMG, which is based on the single-column reference code, RRTM, also developed at AER. RRTMG is a rigorously tested radiation model that retains a considerable level of accuracy relative to higher resolution models and measurements despite the performance enhancements that have made it possible to apply this radiation code successfully to global dynamical models. This model includes the radiative effects of all significant atmospheric gases, and it treats the absorption and scattering from liquid and ice clouds and aerosols. RRTMG also includes a statistical technique for representing small-scale cloud variability, such as cloud fraction and the vertical overlap of clouds, which has been shown to improve cloud radiative forcing in global models. This development approach has provided a direct link from observations to the enhanced radiative transfer provided by RRTMG for application to GCMs. Recent comparison of existing climate model radiation codes with high resolution models has documented the improved radiative forcing capability provided by RRTMG, especially at the surface, relative to other GCM radiation models. Due to its high accuracy, its connection to observations, and its computational efficiency, RRTMG has been implemented operationally in many national and international dynamical models to provide validated radiative transfer for improving weather forecasts and enhancing the prediction of global climate change.

  5. Modeling cortical circuits.

    SciTech Connect (OSTI)

    Rohrer, Brandon Robinson; Rothganger, Fredrick H.; Verzi, Stephen J.; Xavier, Patrick Gordon

    2010-09-01T23:59:59.000Z

    The neocortex is perhaps the highest region of the human brain, where audio and visual perception takes place along with many important cognitive functions. An important research goal is to describe the mechanisms implemented by the neocortex. There is an apparent regularity in the structure of the neocortex [Brodmann 1909, Mountcastle 1957] which may help simplify this task. The work reported here addresses the problem of how to describe the putative repeated units ('cortical circuits') in a manner that is easily understood and manipulated, with the long-term goal of developing a mathematical and algorithmic description of their function. The approach is to reduce each algorithm to an enhanced perceptron-like structure and describe its computation using difference equations. We organize this algorithmic processing into larger structures based on physiological observations, and implement key modeling concepts in software which runs on parallel computing hardware.

  6. Radiolysis Model Formulation for Integration with the Mixed Potential Model

    SciTech Connect (OSTI)

    Buck, Edgar C.; Wittman, Richard S.

    2014-07-10T23:59:59.000Z

    The U.S. Department of Energy Office of Nuclear Energy (DOE-NE), Office of Fuel Cycle Technology has established the Used Fuel Disposition Campaign (UFDC) to conduct the research and development activities related to storage, transportation, and disposal of used nuclear fuel (UNF) and high-level radioactive waste. Within the UFDC, the components for a general system model of the degradation and subsequent transport of UNF is being developed to analyze the performance of disposal options [Sassani et al., 2012]. Two model components of the near-field part of the problem are the ANL Mixed Potential Model and the PNNL Radiolysis Model. This report is in response to the desire to integrate the two models as outlined in [Buck, E.C, J.L. Jerden, W.L. Ebert, R.S. Wittman, (2013) “Coupling the Mixed Potential and Radiolysis Models for Used Fuel Degradation,” FCRD-UFD-2013-000290, M3FT-PN0806058

  7. Model stars for the modelling of galaxies: $?$-enhancement in stellar populations models

    E-Print Network [OSTI]

    P. Coelho

    2008-02-19T23:59:59.000Z

    Stellar population (SP) models are an essential tool to understand the observations of galaxies and clusters. One of the main ingredients of a SP model is a library of stellar spectra, and both empirical and theoretical libraries can been used for this purpose. Here I will start by giving a short overview of the pros and cons of using theoretical libraries, i.e. model stars, to produce our galaxy models. Then I will address the question on how theoretical libraries can be used to model stellar populations, in particular to explore the effect of $\\alpha$-enhancement on spectral observables.

  8. Solar Advisor Model; Session: Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    Blair, N.

    2008-04-01T23:59:59.000Z

    This project supports the Solar America Initiative by: (1) providing a consistent framework for analyzing and comparing power system costs and performance across the range of solar technologies and markets, PV, solar heat systems, CSP, residential, commercial and utility markets; (2) developing and validating performance models to enable accurate calculation of levelized cost of energy (LCOE); (3) providing a consistent modeling platform for all TPP's; and (4) supporting implementation and usage of cost models.

  9. MODEL SELECTION FOR SPECTROPOLARIMETRIC INVERSIONS

    SciTech Connect (OSTI)

    Asensio Ramos, A.; Manso Sainz, R.; Martinez Gonzalez, M. J.; Socas-Navarro, H. [Instituto de Astrofisica de Canarias, E-38205, La Laguna, Tenerife (Spain); Viticchie, B. [ESA/ESTEC RSSD, Keplerlaan 1, 2200 AG Noordwijk (Netherlands); Orozco Suarez, D., E-mail: aasensio@iac.es [National Astronomical Observatory of Japan, Mitaka, Tokyo 181-8588 (Japan)

    2012-04-01T23:59:59.000Z

    Inferring magnetic and thermodynamic information from spectropolarimetric observations relies on the assumption of a parameterized model atmosphere whose parameters are tuned by comparison with observations. Often, the choice of the underlying atmospheric model is based on subjective reasons. In other cases, complex models are chosen based on objective reasons (for instance, the necessity to explain asymmetries in the Stokes profiles) but it is not clear what degree of complexity is needed. The lack of an objective way of comparing models has, sometimes, led to opposing views of the solar magnetism because the inferred physical scenarios are essentially different. We present the first quantitative model comparison based on the computation of the Bayesian evidence ratios for spectropolarimetric observations. Our results show that there is not a single model appropriate for all profiles simultaneously. Data with moderate signal-to-noise ratios (S/Ns) favor models without gradients along the line of sight. If the observations show clear circular and linear polarization signals above the noise level, models with gradients along the line are preferred. As a general rule, observations with large S/Ns favor more complex models. We demonstrate that the evidence ratios correlate well with simple proxies. Therefore, we propose to calculate these proxies when carrying out standard least-squares inversions to allow for model comparison in the future.

  10. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    NONE

    1996-02-26T23:59:59.000Z

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  11. UZ Flow Models and Submodels

    SciTech Connect (OSTI)

    Y. Wu

    2004-11-01T23:59:59.000Z

    The purpose of this report is to document the unsaturated zone (UZ) flow models and submodels, as well as the flow fields that have been generated using the UZ flow model(s) of Yucca Mountain, Nevada. In this report, the term ''UZ model'' refers to the UZ flow model and the several submodels, which include tracer transport, temperature or ambient geothermal, pneumatic or gas flow, and geochemistry (chloride, calcite, and strontium) submodels. The term UZ flow model refers to the three-dimensional models used for calibration and simulation of UZ flow fields. This work was planned in the ''Technical Work Plan (TWP) for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Section 1.2.7). The table of included Features, Events, and Processes (FEPs), Table 6.2-11, is different from the list of included FEPs assigned to this report in the ''Technical Work Plan for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Table 2.1.5-1), as discussed in Section 6.2.6. The UZ model has revised, updated, and enhanced the previous UZ model (BSC 2001 [DIRS 158726]) by incorporating the repository design with new grids, recalibration of property sets, and more comprehensive validation effort. The flow fields describe fracture-fracture, matrix-matrix, and fracture-matrix liquid flow rates, and their spatial distributions as well as moisture conditions in the UZ system. These three-dimensional UZ flow fields are used directly by Total System Performance Assessment (TSPA). The model and submodels evaluate important hydrogeologic processes in the UZ as well as geochemistry and geothermal conditions. These provide the necessary framework to test hypotheses of flow and transport at different scales, and predict flow and transport behavior under a variety of climatic conditions. In addition, the limitations of the UZ model are discussed in Section 8.11.

  12. Sandia National Laboratories: PV Reliability & Performance Model

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

    Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...

  13. Sandia National Laboratories: Performance Modeling Workshop Presentati...

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

    Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...

  14. Medion:The "Orchestrator" Business Model

    E-Print Network [OSTI]

    Ordanini, Andrea; Dedrick, Jason; Kraemer, Kenneth L

    2006-01-01T23:59:59.000Z

    The “Orchestrator” Business Model November 2006 ANDREAThe “Orchestrator” Business Model Medion is not a producta strongly atypical business model in the PC value chain. It

  15. Innovative Corridors Initiative: Business Model Analysis

    E-Print Network [OSTI]

    Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.

    2007-01-01T23:59:59.000Z

    Wenger, Joyce. Business Models for Vehicle InfrastructureCorridors Initiative: Business Model Analysis Rachel S.Corridors Initiative: Business Model Analysis Task Order

  16. Modelling of magnesium metabolism in dairy cattle.

    E-Print Network [OSTI]

    Bell, S. T.

    2006-01-01T23:59:59.000Z

    ??A model of magnesium metabolism in dairy cattle has been developed by adapting and improving an earlier model of magnesium metabolism in sheep. The model… (more)

  17. Watershed Modeling for Biofuels | Argonne National Laboratory

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

    Watershed Modeling for Biofuels Argonne's watershed modeling research addresses water quality in tributary basins of the Mississippi River Basin Argonne's watershed modeling...

  18. Realization Modeling and Simulation in the

    E-Print Network [OSTI]

    : Decision: objective hierarchies and influence diagram System: rover suspension model using Modelica Realization Laboratory System Modeling Modelica language: an object-oriented modeling language for engineering

  19. Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling...

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

    Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling using KH-ACT Primary...

  20. Nuclear Systems Modeling, Simulation & Validation | ORNL

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

    Systems Modeling and Simulation SHARE Nuclear Systems Modeling, Simulation and Validation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion...

  1. 41321122 II 41321132 II

    E-Print Network [OSTI]

    Miyashita, Yasushi

    Edition (Sage Publications, Inc) 2009. Gary Blake, Robert W. Bly. Elements of Technical Writing (Elements

  2. NLVS Tutoring After being offered a chance to work at the

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    President Vladimir Putin and meet US Olympians such as figure skater Gracie Gold and snowboarder Sage

  3. Data based on the MSc class of 2010/11 Number of all MSc students: Average age

    E-Print Network [OSTI]

    Weyde, Tillman

    HSBC RBC Global Asset Management Sage Capital Global Shell Sungard Swiss Finance Corporation The Bank

  4. A probabilistic graphical model based stochastic input model construction

    SciTech Connect (OSTI)

    Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)

    2014-09-01T23:59:59.000Z

    Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: • Data-driven stochastic input models without the assumption of independence of the reduced random variables. • The problem is transformed to a Bayesian network structure learning problem. • Examples are given in flows in random media.

  5. Conceptual Geologic Model and Native State Model of the Roosevelt...

    Open Energy Info (EERE)

    a meteoricrecharge area in the Mineral Mountains, fluidcirculation paths to depth, a heat source, andan outflow plume. A conceptual model based onthe available data can be...

  6. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

  7. Modeling Fluid Flow in Natural Systems, Model Validation and...

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

    rock, flow is primarily in relatively sparse networks of fractures. Discrete fracture network (DFNs) models are an approach to representing flow in fractured rock that...

  8. Model prediction for reactor control

    SciTech Connect (OSTI)

    Ardell, G.G.; Gumowski, B.

    1983-06-01T23:59:59.000Z

    Model prediction is offered as a substitute to lengthy analysis of sample procedures to control product properties not amendable to direct measurement during chemical processing. A computer model of a reactor is set up, and control actions, based on current predicted values, are established. The control is based on predicted ''measurements'' which are derived using a dynamic process model solved on-line. The model is corrected by real measurements in the process operation. A two phase exothermic catalyzed reaction, with the objective of producing material with specified properties, is tested in this paper. The model prediction performance was very good. Model systems enable a more effective control to be exercised than the sample method.

  9. Assessment of Molecular Modeling & Simulation

    SciTech Connect (OSTI)

    None

    2002-01-03T23:59:59.000Z

    This report reviews the development and applications of molecular and materials modeling in Europe and Japan in comparison to those in the United States. Topics covered include computational quantum chemistry, molecular simulations by molecular dynamics and Monte Carlo methods, mesoscale modeling of material domains, molecular-structure/macroscale property correlations like QSARs and QSPRs, and related information technologies like informatics and special-purpose molecular-modeling computers. The panel's findings include the following: The United States leads this field in many scientific areas. However, Canada has particular strengths in DFT methods and homogeneous catalysis; Europe in heterogeneous catalysis, mesoscale, and materials modeling; and Japan in materials modeling and special-purpose computing. Major government-industry initiatives are underway in Europe and Japan, notably in multi-scale materials modeling and in development of chemistry-capable ab-initio molecular dynamics codes.

  10. Pulsar Wind Nebulae Modeling

    E-Print Network [OSTI]

    Bucciantini, N

    2013-01-01T23:59:59.000Z

    Pulsar Wind Nebulae (PWNe) are ideal astrophysical laboratories where high energy relativistic phenomena can be investigated. They are close, well resolved in our observations, and the knowledge derived in their study has a strong impact in many other fields, from AGNs to GRBs. Yet there are still unresolved issues, that prevent us from a full clear understanding of these objects. The lucky combination of high resolution X-ray imaging and numerical codes to handle the outflow and dynamical properties of relativistic MHD, has opened a new avenue of investigation that has lead to interesting progresses in the last years. Despite all of this, we do not understand yet how particles are accelerated, and the functioning of the pulsar wind and pulsar magnetosphere, that power PWNe. I will review what is now commonly known as the MHD paradigm, and in particular I will focus on various approaches that have been and are currently used to model these systems. For each I will highlight its advantages, limitations, and de...

  11. Structural model of uramarsite

    SciTech Connect (OSTI)

    Rastsvetaeva, R. K., E-mail: rast@ns.crys.ras.ru [Russian Academy of Sciences, Shubnikov Institute of Crystallography (Russian Federation); Sidorenko, G. A. [All-Russia Research Institute of Mineral Resources (VIMS) (Russian Federation); Ivanova, A. G. [Russian Academy of Sciences, Shubnikov Institute of Crystallography (Russian Federation); Chukanov, N. V. [Russian Academy of Sciences, Institute of Problems of Chemical Physics (Russian Federation)

    2008-09-15T23:59:59.000Z

    The structural model of uramarsite, a new mineral of the uran-mica family from the Bota-Burum deposit (South Kazakhstan), is determined using a single-crystal X-ray diffraction analysis. The parameters of the triclinic unit cell are as follows: a = 7.173(2) A, b = 7.167(5) A, c = 9.30(1) A, {alpha} = 90.13(7){sup o}, {beta} = 90.09(4){sup o}, {gamma} = 89.96(4){sup o}, and space group P1. The crystal chemical formula of uramarsite is: (UO{sub 2}){sub 2}[AsO{sub 4}][PO{sub 4},AsO{sub 4}][NH{sub 4}][H{sub 3}O] . 6H{sub 2}O (Z = 1). Uramarsite is the second ammonium-containing mineral of uranium and an arsenate analogue of uramphite. In the case of uramarsite, the lowering of the symmetry from tetragonal to triclinic, which is accompanied by a triclinic distortion of the tetragonal unit cell, is apparently caused by the ordering of the As and P atoms and the NH{sub 4}, H{sub 3}O, and H{sub 2}O groups.

  12. Thin shell model revisited

    E-Print Network [OSTI]

    Sijie Gao; Xiaobao Wang

    2014-12-26T23:59:59.000Z

    We reconsider some fundamental problems of the thin shell model. First, we point out that the "cut and paste" construction does not guarantee a well-defined manifold because there is no overlap of coordinates across the shell. When one requires that the spacetime metric across the thin shell is continuous, it also provides a way to specify the tangent space and the manifold. Other authors have shown that this specification leads to the conservation laws when shells collide. On the other hand, the well-known areal radius $r$ seems to be a perfect coordinate covering all regions of a spherically symmetric spacetime. However, we show by simple but rigorous arguments that $r$ fails to be a coordinate covering a neighborhood of the thin shell if the metric across the shell is continuous. When two spherical shells collide and merge into one, we show that it is possible that $r$ remains to be a good coordinate and the conservation laws hold. To make this happen, different spacetime regions divided by the shells must be glued in a specific way such that some constraints are satisfied. We compare our new construction with the old one by solving constraints numerically.

  13. Kinetic models of opinion formation

    E-Print Network [OSTI]

    G. Toscani

    2006-05-17T23:59:59.000Z

    We introduce and discuss certain kinetic models of (continuous) opinion formation involving both exchange of opinion between individual agents and diffusion of information. We show conditions which ensure that the kinetic model reaches non trivial stationary states in case of lack of diffusion in correspondence of some opinion point. Analytical results are then obtained by considering a suitable asymptotic limit of the model yielding a Fokker-Planck equation for the distribution of opinion among individuals.

  14. An inhomogeneous fractal cosmological model

    E-Print Network [OSTI]

    Fulvio Pompilio; Marco Montuori

    2001-11-28T23:59:59.000Z

    We present a cosmological model in which the metric allows for an inhomogeneous Universe with no intrinsic symmetries (Stephani models), providing the ideal features to describe a fractal distribution of matter. Constraints on the metric functions are derived using the expansion and redshift relations and allowing for scaling number counts, as expected in a fractal set. The main characteristics of such a cosmological model are discussed.

  15. Modeling of shallow stabilization ponds

    SciTech Connect (OSTI)

    Babarutsi, S.; Marchand, P.; Safieddine, T.

    1999-07-01T23:59:59.000Z

    A two-dimensional hydrodynamic model is used to simulate shallow stabilization ponds. The model computes the flow field and the concentration distribution of a conservative tracer in the entire area of a pond. The location and the size of the dead zones, the bypassing, and the recirculating areas are also determined by the model. The numerical results are in good agreement with the experimental data obtained in the laboratory.

  16. Phenomenologies of Higgs messenger models

    E-Print Network [OSTI]

    Sibo Zheng; Yao Yu; Xing-Gang Wu

    2011-06-28T23:59:59.000Z

    In this paper, we investigate the phenomenologies of models where the Higgs sector plays the role of messengers in gauge mediation. The minimal Higgs sector and its extension are considered respectively. We find that there exist viable models when an appropriate parity is imposed. Phenomenological features in these kind of models include three sum rules for scalar masses, light gluino as well as one-loop $\\mu$ and two-loop $B\\mu$ terms.

  17. Are Standard Solar Models Reliable?

    E-Print Network [OSTI]

    John N. Bahcall; M. H. Pinsonneault; Sarbani Basu; J. Christensen-Dalsgaard

    1996-12-20T23:59:59.000Z

    The sound speeds of solar models that include element diffusion agree with helioseismological measurements to a rms discrepancy of better than 0.2% throughout almost the entire sun. Models that do not include diffusion, or in which the interior of the sun is assumed to be significantly mixed, are effectively ruled out by helioseismology. Standard solar models predict the measured properties of the sun more accurately than is required for applications involving solar neutrinos.

  18. Model Checking for Software Architectures

    E-Print Network [OSTI]

    Joseph Fourier Grenoble-I, Université

    -Dulay-Eisenbach-Kramer-95] ­ -calculus + FSP ­ LTSA (LTL properties) #12;6EWSA 2004 (May 21-22, St Andrews, Scotland) Model

  19. Transformer modeling in power systems

    SciTech Connect (OSTI)

    Ma, J.; Dawalibi, F.P. [Safe Engineering Services and Technologies Ltd., Montreal, Quebec (Canada)

    1999-11-01T23:59:59.000Z

    A practical and accurate method of modeling various transformers in power systems using a general circuit model approach is described in this paper. The advantage of the new approach is that it can model transformers along with a complex circuit network, while avoiding the use of symmetrical components, unlike other approaches. The transformer modeling technique introduced in this paper is very useful to accurately determine fault current distribution in a power system and electromagnetic interference on pipelines and communication lines installed in a right-of-way consisting of transmission lines operating at different voltages.

  20. Nuclear Fallout Models – An Overview

    SciTech Connect (OSTI)

    Hodges, Matthew [UNLV

    2014-10-21T23:59:59.000Z

    This presentation is an introduction to a full report, which is a tutorial for individuals using the products of the models reviewed.

  1. Critique of ``Expected Value`` models

    SciTech Connect (OSTI)

    May, W.L.

    1996-06-01T23:59:59.000Z

    There are a number of models in the defense community which use a methodology referred to as ``Expected Value`` to perform sequential calculations of unit attritions or expenditures. The methodology applied to two-sided, dependent, sequential events can result in an incorrect model. An example of such an incorrect model is offered to show that these models may yield results which deviate significantly from a stochastic or Markov process approach. The example was derived from an informal discussion at the Center for Naval Analyses.

  2. Different convection models in ATLAS

    E-Print Network [OSTI]

    Barry Smalley

    2005-09-19T23:59:59.000Z

    Convection is an important phenomenon in the atmospheres of A-type and cooler stars. A description of convection in ATLAS models is presented, together with details of how it is specified in model calculations. The effects of changing the treatment of convection on model structures and how this affects observable quantities are discussed. The role of microturbulence is examined, and its link to velocity fields within the atmosphere. Far from being free parameters, mixing-length and microturbulence should be constrained in model calculations.

  3. Spatiotemporal brain imaging and modeling

    E-Print Network [OSTI]

    Lin, Fa-Hsuan, 1972-

    2004-01-01T23:59:59.000Z

    This thesis integrates hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain cognition. Exploration of these brain mechanisms requires both structural and functional knowledge ...

  4. Model building techniques for analysis.

    SciTech Connect (OSTI)

    Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.

    2009-09-01T23:59:59.000Z

    The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.

  5. Numerical Modeling of HCCI Combustion

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

    Numerical Modeling of HCCI Combustion Salvador M. Aceves, Daniel L. Flowers, J. Ray Smith, Joel Martinez-Frias, Francisco Espinosa-Loza, Tim Ross, Bruce Buchholz, Nick...

  6. Kinetic Modeling of Microbiological Processes

    SciTech Connect (OSTI)

    Liu, Chongxuan; Fang, Yilin

    2012-09-17T23:59:59.000Z

    Kinetic description of microbiological processes is vital for the design and control of microbe-based biotechnologies such as waste water treatment, petroleum oil recovery, and contaminant attenuation and remediation. Various models have been proposed to describe microbiological processes. This editorial article discusses the advantages and limiation of these modeling approaches in cluding tranditional, Monod-type models and derivatives, and recently developed constraint-based approaches. The article also offers the future direction of modeling researches that best suit for petroleum and environmental biotechnologies.

  7. ORISE: Dose modeling and assessments

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

    or state regulatory compliance requirements are being met during the decontamination and decommissioning of nuclear facilities. Dose modeling is an important step in the...

  8. Transport Properties for Combustion Modeling

    E-Print Network [OSTI]

    Brown, N.J.

    2010-01-01T23:59:59.000Z

    a critical role in combustion processes just as chemicalparameters are essential for combustion modeling; molecularwith Application to Combustion. Transport Theor Stat 2003;

  9. Power Plant Modeling and Simulation

    ScienceCinema (OSTI)

    None

    2010-01-08T23:59:59.000Z

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  10. Toward Models for Forensic Analysis

    E-Print Network [OSTI]

    Peisert, Sean; Bishop, Matt; Karin, Sidney; Marzullo, Keith

    2007-01-01T23:59:59.000Z

    Farmer and Wietse Venema. Forensic Discovery. Addison WesleyTo summarize, a good forensic model should possess theparameter that enables a forensic analyst to decide what to

  11. Vegetated Roof Water-Balance Model: Experimental and Model Results

    E-Print Network [OSTI]

    urbanization effects on the water cycle. Although there are many stormwater best management practices (BMPs (ET) and soil media water storage between storm events. Lazzarin et al. (2005) estimated that ET ratesVegetated Roof Water-Balance Model: Experimental and Model Results James A. Sherrard Jr.1

  12. Modelling and Hazard Analysis for Contaminated Sediments Using Stamp Model

    E-Print Network [OSTI]

    Boyer, Edmond

    Modelling and Hazard Analysis for Contaminated Sediments Using Stamp Model Karim Hardy* , Franck or contaminants) of contaminated sediments have become very efficient. These technologies, which are particularly sections. The first describes the Novosol® process for treating contaminated sediments. The second

  13. Modeling of Organizational Violence Violent Intent Modeling and Simulation (VIMS)

    E-Print Network [OSTI]

    McShea, Daniel W.

    111 Modeling of Organizational Violence Violent Intent Modeling and Simulation (VIMS) Georgiy Bobashev, Burton Levine, Joe Eyerman, Michael Schwerin, and Richard Legault November 04, 2010 #12;2 VIMS Background #12;3 VIMS: Background · R&D sponsored by Human Factors Division at DHS S&T · Initial work

  14. Paraphrastic language models and combination with neural network language models

    E-Print Network [OSTI]

    Liu, X.; Gales, M. J. F; Woodland, P. C.

    2014-07-17T23:59:59.000Z

    -gram models of nat- ural language. Computational Linguistics 18(4) pp.467-470. [3] G. Cao, J-Y Nie & J. Bai (2005). Integrating word relation- ships into language models, in Proc. ACM SIGIR2005, pp. 298-305, Salvador, Brazil. [4] Z. Dong & Q. Dong (2006). How...

  15. Model-Based Testing : The Test of Formal Models

    E-Print Network [OSTI]

    Model-Based Testing : The Test of Formal Models Jan Tretmans ESI & Radboud University Nijmegen #12;2 Testing (Software) Testing: checking or measuring some quality characteristics of an executing object by performing experiments in a controlled way w.r.t. a specification tester specification SUT System Under Test

  16. Evaluation of a Vector Hypercube for Seismic Modelling Seismic modelling

    E-Print Network [OSTI]

    Renaut, Rosemary

    Evaluation of a Vector Hypercube for Seismic Modelling Abstract Seismic modelling is a computationally to produce realistic seismic traces intensive problem. A 2D syn- Rosemary Renautt and Johnny of seismic data. The two-dimensional wave equation which describes the propagation of stress waves

  17. Modeling Web Maintenance Centers Through Queue Models M. Di Penta

    E-Print Network [OSTI]

    Di Penta, Massimiliano

    Modeling Web Maintenance Centers Through Queue Models M. Di Penta , G. Casazza ¡ , G. Antoniol´eal Abstract The Internet and WEB pervasiveness are changing the landscape of several different areas ranging from infor- mation gathering/managing and commerce to software development, maintenance and evolution

  18. Reduced-Order Model Design for Nonlinear Smart System Models

    E-Print Network [OSTI]

    nonlinear smart material system models can yield full-order numerical models that accurately characterize: Smart materials, proper orthogonal decomposition 1. Introduction Proper Orthogonal Decomposition (POD those seeking to implement real-time control on smart material structures (see [1] and the references

  19. Updating MIT's cost estimation model for shipbuilding

    E-Print Network [OSTI]

    Smith, Matthew B., Lieutenant, junior grade

    2008-01-01T23:59:59.000Z

    This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...

  20. Modeling and optimization of building HVAC systems.

    E-Print Network [OSTI]

    Jin, Guang Yu.

    2012-01-01T23:59:59.000Z

    ??This thesis presents the development of hybrid modeling methodologies for HVAC component static/steady-state models and dynamic/transient models, and the development and implementation of a model-based… (more)

  1. Accelerating Energy Savings Performance Contracting Through Model...

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

    Accelerating Energy Savings Performance Contracting Through Model Statewide Programs Accelerating Energy Savings Performance Contracting Through Model Statewide Programs Provides...

  2. Application of reservoir models to Cherokee Reservoir

    SciTech Connect (OSTI)

    Kim, B.R.; Bruggink, D.J.

    1982-01-01T23:59:59.000Z

    As a part of the Cherokee Reservoir Project hydrodynamic-temperature models and water quality models hav

  3. Geothermal Electricity Technology Evaluation Model (GETEM) Development...

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

    Electricity Technology Evaluation Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating...

  4. GLOBAL COMPREHENSIVE MODELS IN POLITICS AND POLICYMAKING

    E-Print Network [OSTI]

    Edwards, Paul N.

    . In this editorial, I reflect on the role of comprehensive models, such as IAMs and earth system models (ESMs

  5. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    NONE

    1994-02-24T23:59:59.000Z

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  6. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor: Ignacio;Outline Introduction Refinery Planning Model Development LP Planning Models NLP Planning Models FI Model Aggregate Model Conclusion & Future work 2 #12;3 Introduction Refinery production planning

  7. Integration of Nonlinear CDU Models in Refinery

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Integration of Nonlinear CDU Models in Refinery Planning Optimization Abdulrahman Alattas, Advisor #12;Refinery Planning Model Development Fixed-yieldModels SwingcutsModels LPPlanningModels Aggregate for the CDU #12;Planning Model Example Typical Refinery Configuration (Adapted from Aronofsky, 1978) Cat Ref

  8. Multipole Expansion Model in Gravitational Lensing

    E-Print Network [OSTI]

    T. Fukuyama; Y. Kakigi; T. Okamura

    1997-01-31T23:59:59.000Z

    Non-transparent models of multipole expansion model and two point-mass model are analyzed from the catastrophe theory. Singularity behaviours of $2^n$-pole moments are discussed. We apply these models to triple quasar PG1115+080 and compare with the typical transparent model, softened power law spheroids. Multipole expansion model gives the best fit among them.

  9. Biomechanics and Modeling in Mechanobiology

    E-Print Network [OSTI]

    Farritor, Shane

    PAPER Mechanics of blast loading on the head models in the study of traumatic brain injury using.1007/s10237-012-0421-8 Mechanics of blast loading on the head models in the study of traumatic brain. To understand the interactions of blast waves on the head and brain and to identify the mech- anisms of injury

  10. Consumer Vehicle Choice Model Documentation

    SciTech Connect (OSTI)

    Liu, Changzheng [ORNL] [ORNL; Greene, David L [ORNL] [ORNL

    2012-08-01T23:59:59.000Z

    In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, “While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle.” Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.

  11. Modelling sustainable development Ivar Ekeland

    E-Print Network [OSTI]

    Ekeland, Ivar

    Modelling sustainable development Ivar Ekeland www.ceremade.dauphine.fr/~ekeland CERMADE.ceremade.dauphine.fr/~ekeland (CERMADE, Universite Paris-Dauphine)Modelling sustainable development Collloque Sorin, IHP, Juin 2012 1 / 17 #12;Sustainable development The de...nition given by the Brundtland commision to the UN (1987

  12. 4, 1367, 2007 Modelling carbon

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    BGD 4, 13­67, 2007 Modelling carbon overconsumption and extracellular POC formation M. Schartau et carbon overconsumption and the formation of extracellular particulate organic carbon M. Schartau1 , A Correspondence to: M. Schartau (markus.schartau@gkss.de) 13 #12;BGD 4, 13­67, 2007 Modelling carbon

  13. CFT, Integrable Models Liouville Gravity

    E-Print Network [OSTI]

    Fominov, Yakov

    CFT, Integrable Models And Liouville Gravity Chernogolovka 2009 Sunday June 28, 2009. Conference as one of components of their L, A pairs. #12;CFT, Integrable Models And Liouville Gravity Chernogolovka Gravity Chernogolovka, 2009 Tuesday June 30, 2009. CONFERENCE HALL 09:30­10:10 Herman Boos (Wuppertal

  14. Infrared Catastrophe for Nelson's Model

    E-Print Network [OSTI]

    Masao Hirokawa

    2005-11-08T23:59:59.000Z

    We mathematically study the infrared catastrophe for the Hamiltonian of Nelson's model when it has the external potential in a general class. For the model, we prove the pull-through formula on ground states in operator theory first. Based on this formula, we show both non-existence of any ground state and divergence of the total number of soft bosons.

  15. Advanced Modeling Environments Daniel Dolk

    E-Print Network [OSTI]

    Kimbrough, Steven Orla

    of system software for managing them. In the case of databases, database management systems are mature quality are available and heavily used by organizations. This is not the case for model manage- ment research in model management and decision support systems and related fields. With this as background

  16. Autotune E+ Building Energy Models

    SciTech Connect (OSTI)

    New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL

    2012-01-01T23:59:59.000Z

    This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.

  17. A holographic charged preon model

    E-Print Network [OSTI]

    T. R. Mongan

    2013-04-20T23:59:59.000Z

    The Standard Model (SM) is a successful approach to particle physics calculations. However, there are indications that the SM is only a good approximation to an underlying non-local reality involving fundamental entities (preons) that are not point particles. Furthermore, our universe seems to be dominated by a vacuum energy/cosmological constant. The holographic principle then indicates only a finite number of bits of information will ever be available to describe the observable universe, and that requires a holographic preon model linking the (0,1) holographic bits to SM particles. All SM particles have charges 0, 1/3, 2/3 or 1 in units of the electron charge, so the bits in a holographic preon model must be identified with fractional electric charge. Such holographic charged preon models require baryon asymmetry and also suggest a mechanism for stationary action. This paper outlines a holographic charged preon model where preons are strands with finite energy density specified by bits of information identifying the charge on each end. In the model, SM particles consist of three strands with spin states corresponding to wrapped states of the strands. SM particles in this wrapped preon model can be approximated by preon bound states in non-local dynamics based on three-preon Bethe-Salpeter equations with instantaneous three-preon interactions. The model can be falsified by data from the Large Hadron Collider because it generates baryon asymmetry without axions, and does not allow more than three generations of SM fermions.

  18. Modelling the Galaxy for GAIA

    E-Print Network [OSTI]

    James Binney

    2004-11-09T23:59:59.000Z

    Techniques for the construction of dynamical Galaxy models should be considered essential infrastructure that should be put in place before GAIA flies. Three possible modelling techniques are discussed. Although one of these seems to have significantly more potential than the other two, at this stage work should be done on all three. A major effort is needed to decide how to make a model consistent with a catalogue such as that which GAIA will produce. Given the complexity of the problem, it is argued that a hierarchy of models should be constructed, of ever increasing complexity and quality of fit to the data. The potential that resonances and tidal streams have to indicate how a model should be refined is briefly discussed.

  19. Modelling Chinese Smart Grid: A Stochastic Model Checking Case Study

    E-Print Network [OSTI]

    Yüksel, Ender; Nielson, Flemming; Zhu, Huibiao; Huang, Heqing

    2012-01-01T23:59:59.000Z

    Cyber-physical systems integrate information and communication technology functions to the physical elements of a system for monitoring and controlling purposes. The conversion of traditional power grid into a smart grid, a fundamental example of a cyber-physical system, raises a number of issues that require novel methods and applications. In this context, an important issue is the verification of certain quantitative properties of the system. In this technical report, we consider a specific Chinese Smart Grid implementation and try to address the verification problem for certain quantitative properties including performance and battery consumption. We employ stochastic model checking approach and present our modelling and analysis study using PRISM model checker.

  20. CONTEXTUAL- AND INDIVIDUAL-LEVEL DETERMINANTS OF POLITICAL TOLERANCE IN DEVELOPING COUNTRIES

    E-Print Network [OSTI]

    Watkins, John

    2007-09-17T23:59:59.000Z

    ). Introducing Multilevel Modeling. Sage: London. Marsh, Robert M. 2005. “Tolerance of Civil Liberties in a New Democracy.” Comparative Sociology 4:313-38. 25 Mondak, Jeffery and Mitchell Sanders. 2003. “Tolerance and Intolerance, 1976-1998.” American... CONTEXTUAL- AND INDIVIDUAL-LEVEL DETERMINANTS OF POLITICAL TOLERANCE IN DEVELOPING COUNTRIES A Senior Scholars Thesis by JOHN DAVID WATKINS Submitted to the Office of Undergraduate Research Texas A&M University In partial fulfillment...

  1. ADVANCED MIXING MODELS

    SciTech Connect (OSTI)

    Lee, S.; Dimenna, R.; Tamburello, D.

    2011-02-14T23:59:59.000Z

    The process of recovering and processing High Level Waste (HLW) the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four mixers (pumps) located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are typically set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The focus of the present work is to establish mixing criteria applicable to miscible fluids, with an ultimate goal of addressing waste processing in HLW tanks at SRS and quantifying the mixing time required to suspend sludge particles with the submersible jet pump. A single-phase computational fluid dynamics (CFD) approach was taken for the analysis of jet flow patterns with an emphasis on the velocity decay and the turbulent flow evolution for the farfield region from the pump. Literature results for a turbulent jet flow are reviewed, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. The work described in this report suggests a basis for further development of the theory leading to the identified mixing indicators, with benchmark analyses demonstrating their consistency with widely accepted correlations. Although the indicators are somewhat generic in nature, they are applied to Savannah River Site (SRS) waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. One of the main objectives in the waste processing is to provide feed of a uniform slurry composition at a certain weight percentage (e.g. typically {approx}13 wt% at SRS) over an extended period of time. In preparation of the sludge for slurrying, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination?

  2. EIA model documentation: Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1994-12-30T23:59:59.000Z

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.

  3. HTGR Cost Model Users' Manual

    SciTech Connect (OSTI)

    A.M. Gandrik

    2012-01-01T23:59:59.000Z

    The High Temperature Gas-Cooler Reactor (HTGR) Cost Model was developed at the Idaho National Laboratory for the Next Generation Nuclear Plant Project. The HTGR Cost Model calculates an estimate of the capital costs, annual operating and maintenance costs, and decommissioning costs for a high-temperature gas-cooled reactor. The user can generate these costs for multiple reactor outlet temperatures; with and without power cycles, including either a Brayton or Rankine cycle; for the demonstration plant, first of a kind, or nth of a kind project phases; for a single or four-pack configuration; and for a reactor size of 350 or 600 MWt. This users manual contains the mathematical models and operating instructions for the HTGR Cost Model. Instructions, screenshots, and examples are provided to guide the user through the HTGR Cost Model. This model was design for users who are familiar with the HTGR design and Excel. Modification of the HTGR Cost Model should only be performed by users familiar with Excel and Visual Basic.

  4. System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report

    SciTech Connect (OSTI)

    Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.

    2013-12-01T23:59:59.000Z

    The System Advisor Model (SAM) is a free software tool that performs detailed analysis of both system performance and system financing for a variety of renewable energy technologies. This report provides detailed validation of the SAM flat plate photovoltaic performance model by comparing SAM-modeled PV system generation data to actual measured production data for nine PV systems ranging from 75 kW to greater than 25 MW in size. The results show strong agreement between SAM predictions and field data, with annualized prediction error below 3% for all fixed tilt cases and below 8% for all one axis tracked cases. The analysis concludes that snow cover and system outages are the primary sources of disagreement, and other deviations resulting from seasonal biases in the irradiation models and one axis tracking issues are discussed in detail.

  5. An approximate internal model principle: Applications to nonlinear models of

    E-Print Network [OSTI]

    Sontag, Eduardo

    that the system has an internal model in the feedback loop. In this paper we relax the requirement is to achieve adaptation include blood calcium regulation (El-Samad et al. 2002), neuronal control

  6. Statistical Modeling with the Virtual Source MOSFET Model

    E-Print Network [OSTI]

    Yu, Li

    A statistical extension of the ultra-compact Virtual Source (VS) MOSFET model is developed here for the first time. The characterization uses a statistical extraction technique based on the backward propagation of variance ...

  7. Modeling reaction time within a traffic simulation model

    E-Print Network [OSTI]

    Basak, Kakali

    Human reaction time has a substantial effect on modeling of human behavior at a microscopic level. Drivers and pedestrian do not react to an event instantaneously; rather, they take time to perceive the event, process the ...

  8. Air Conditioner Compressor Performance Model

    SciTech Connect (OSTI)

    Lu, Ning; Xie, YuLong; Huang, Zhenyu

    2008-09-05T23:59:59.000Z

    During the past three years, the Western Electricity Coordinating Council (WECC) Load Modeling Task Force (LMTF) has led the effort to develop the new modeling approach. As part of this effort, the Bonneville Power Administration (BPA), Southern California Edison (SCE), and Electric Power Research Institute (EPRI) Solutions tested 27 residential air-conditioning units to assess their response to delayed voltage recovery transients. After completing these tests, different modeling approaches were proposed, among them a performance modeling approach that proved to be one of the three favored for its simplicity and ability to recreate different SVR events satisfactorily. Funded by the California Energy Commission (CEC) under its load modeling project, researchers at Pacific Northwest National Laboratory (PNNL) led the follow-on task to analyze the motor testing data to derive the parameters needed to develop a performance models for the single-phase air-conditioning (SPAC) unit. To derive the performance model, PNNL researchers first used the motor voltage and frequency ramping test data to obtain the real (P) and reactive (Q) power versus voltage (V) and frequency (f) curves. Then, curve fitting was used to develop the P-V, Q-V, P-f, and Q-f relationships for motor running and stalling states. The resulting performance model ignores the dynamic response of the air-conditioning motor. Because the inertia of the air-conditioning motor is very small (H<0.05), the motor reaches from one steady state to another in a few cycles. So, the performance model is a fair representation of the motor behaviors in both running and stalling states.

  9. INEEL AIR MODELING PROTOCOL ext

    SciTech Connect (OSTI)

    C. S. Staley; M. L. Abbott; P. D. Ritter

    2004-12-01T23:59:59.000Z

    Various laws stemming from the Clean Air Act of 1970 and the Clean Air Act amendments of 1990 require air emissions modeling. Modeling is used to ensure that air emissions from new projects and from modifications to existing facilities do not exceed certain standards. For radionuclides, any new airborne release must be modeled to show that downwind receptors do not receive exposures exceeding the dose limits and to determine the requirements for emissions monitoring. For criteria and toxic pollutants, emissions usually must first exceed threshold values before modeling of downwind concentrations is required. This document was prepared to provide guidance for performing environmental compliance-driven air modeling of emissions from Idaho National Engineering and Environmental Laboratory facilities. This document assumes that the user has experience in air modeling and dose and risk assessment. It is not intended to be a "cookbook," nor should all recommendations herein be construed as requirements. However, there are certain procedures that are required by law, and these are pointed out. It is also important to understand that air emissions modeling is a constantly evolving process. This document should, therefore, be reviewed periodically and revised as needed. The document is divided into two parts. Part A is the protocol for radiological assessments, and Part B is for nonradiological assessments. This document is an update of and supersedes document INEEL/INT-98-00236, Rev. 0, INEEL Air Modeling Protocol. This updated document incorporates changes in some of the rules, procedures, and air modeling codes that have occurred since the protocol was first published in 1998.

  10. A model of nonlinear electrodynamics

    E-Print Network [OSTI]

    S. I. Kruglov

    2014-12-02T23:59:59.000Z

    A new model of nonlinear electrodynamics with two parameters is investigated. We also consider a model with one dimensional parameter. It was shown that the electric field of a point-like charge is not singular at the origin and there is the finiteness of the static electric energy of point-like charged particle. We obtain the canonical and symmetrical Belinfante energy-momentum tensors and dilatation currents. It is demonstrated that the dilatation symmetry and dual symmetry are broken in the models suggested. We have calculated the static electric energy of point-like particles.

  11. Fracture model for cemented aggregates

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

    Zubelewicz, Aleksander; Thompson, Darla G.; Ostoja-Starzewski, Martin; Ionita, Axinte; Shunk, Devin; Lewis, Matthew W.; Lawson, Joe C.; Kale, Sohan; Koric, Seid

    2013-01-01T23:59:59.000Z

    A mechanisms-based fracture model applicable to a broad class of cemented aggregates and, among them, plastic-bonded explosive (PBX) composites, is presented. The model is calibrated for PBX 9502 using the available experimental data under uniaxial compression and tension gathered at various strain rates and temperatures. We show that the model correctly captures inelastic stress-strain responses prior to the load peak and it predicts the post-critical macro-fracture processes, which result from the growth and coalescence of micro-cracks. In our approach, the fracture zone is embedded into elastic matrix and effectively weakens the material's strength along the plane of the dominant fracture.

  12. Introduction to Holographic Superconductor Models

    E-Print Network [OSTI]

    Cai, Rong-Gen; Li, Li-Fang; Yang, Run-Qiu

    2015-01-01T23:59:59.000Z

    In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.

  13. Introduction to Holographic Superconductor Models

    E-Print Network [OSTI]

    Rong-Gen Cai; Li Li; Li-Fang Li; Run-Qiu Yang

    2015-03-12T23:59:59.000Z

    In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.

  14. Introduction to Holographic Superconductor Models

    E-Print Network [OSTI]

    Rong-Gen Cai; Li Li; Li-Fang Li; Run-Qiu Yang

    2015-02-02T23:59:59.000Z

    In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.

  15. Wind Technology Modeling Within the System Advisor Model (SAM) (Poster)

    SciTech Connect (OSTI)

    Blair, N.; Dobos, A.; Ferguson, T.; Freeman, J.; Gilman, P.; Whitmore, J.

    2014-05-01T23:59:59.000Z

    This poster provides detail for implementation and the underlying methodology for modeling wind power generation performance in the National Renewable Energy Laboratory's (NREL's) System Advisor Model (SAM). SAM's wind power model allows users to assess projects involving one or more large or small wind turbines with any of the detailed options for residential, commercial, or utility financing. The model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs, and provides analysis to compare the absolute or relative impact of these inputs. SAM is a system performance and economic model designed to facilitate analysis and decision-making for project developers, financers, policymakers, and energy researchers. The user pairs a generation technology with a financing option (residential, commercial, or utility) to calculate the cost of energy over the multi-year project period. Specifically, SAM calculates the value of projects which buy and sell power at retail rates for residential and commercial systems, and also for larger-scale projects which operate through a power purchase agreement (PPA) with a utility. The financial model captures complex financing and rate structures, taxes, and incentives.

  16. Hyperbolic chemotaxis Hyperbolic chemotaxis on networks Models for biofilms Models for algae Some issues in the modeling of movement

    E-Print Network [OSTI]

    Ribot, Magali

    Hyperbolic chemotaxis Hyperbolic chemotaxis on networks Models for biofilms Models for algae Some issues in the modeling of movement of cells : chemotaxis, biofilms, algae, etc... Magali Ribot;Hyperbolic chemotaxis Hyperbolic chemotaxis on networks Models for biofilms Models for algae Hyperbolic

  17. ADVANCED MIXING MODELS

    SciTech Connect (OSTI)

    Lee, S; Richard Dimenna, R; David Tamburello, D

    2008-11-13T23:59:59.000Z

    The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four dual-nozzle jet mixers located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The work described in this report establishes the basis for further development of the theory leading to the identified mixing indicators, the benchmark analyses demonstrating their consistency with widely accepted correlations, and the application of those indicators to SRS waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. If shorter mixing times can be shown to support Defense Waste Processing Facility (DWPF) or other feed requirements, longer pump lifetimes can be achieved with associated operational cost and schedule savings. The focus of the present work is to establish mixing criteria associated with the waste processing at SRS and to quantify the mixing time required to suspend sludge particles with the submersible jet pump. Literature results for a turbulent jet flow are reviewed briefly, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. One of the main objectives in the waste processing is to provide the DWPF a uniform slurry composition at a certain weight percentage (typically {approx}13 wt%) over an extended period of time. In preparation of the sludge for slurrying to DWPF, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition for DWPF? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination? Grenville and Tilton (1996) investigated the mixing process by giving a pulse of tracer (electrolyte) through the submersible jet nozzle and by monitoring the conductivity at three locations within the cylindrical tank. They proposed that the mixing process was controlled by the turbulent kinetic energy dissipation rate in the region far away from the jet entrance. They took the energy dissipation rates in the regions remote from the nozzle to be proportional to jet velocity and jet diameter at that location. The reduction in the jet velocity was taken to be proportional to the nozzle velocity and distance from the nozzle. Based on their analysis, a correlation was proposed. The proposed correlation was shown to be valid over a wide range of Reynolds numbers (50,000 to 300,000) with a relative standard deviation of {+-} 11.83%. An improved correlat

  18. Electric motor model repair specifications

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    These model repair specifications list the minimum requirements for repair and overhaul of polyphase AC squireel cage induction motors. All power ranges, voltages, and speeds of squirrel cage motors are covered.

  19. Modeling Warm Dense Matter Experiments

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

    Center (NERSC) at LBNL and has been shown to scale well to thousands of CPUs. New surface tension models that are being implemented and applied to WDM experiments. Some of...

  20. EMMA: Electromechanical Modeling in ALEGRA

    SciTech Connect (OSTI)

    NONE

    1996-12-31T23:59:59.000Z

    To ensure high levels of deterrent capability in the 21st century, new stockpile stewardship principles are being embraced at Sandia National Laboratories. The Department of Energy Accelerated Strategic Computing Initiative (ASCI) program is providing the computational capacity and capability as well as funding the system and simulation software infrastructure necessary to provide accurate, precise and predictive modeling of important components and devices. An important class of components require modeling of piezoelectric and ferroceramic materials. The capability to run highly resolved simulations of these types of components on the ASCI parallel computers is being developed at Sandia in the ElectroMechanical Modeling in Alegra (EMMA) code. This a simulation capability being developed at Sandia National Laboratories for high-fidelity modeling of electromechanical devices. these devices can produce electrical current arising from material changes due to shock impact or explosive detonation.

  1. 2014 PV Performance Modeling Workshop

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

    2014 PV Performance Modeling Workshop Photo courtesy of Sempra Energy 8:00 AM to 9:00 PM Monday, May 5, 2014 At Biltmore Hotel, Santa Clara, California 512014 Agenda: Start Time...

  2. 3D modeling with silhouettes

    E-Print Network [OSTI]

    Rivers, Alec (Alec Rothmyer)

    2010-01-01T23:59:59.000Z

    With the increasing power of computers and the spread of dedicated graphics hardware, 3D content has become ubiquitous in every field, from medicine to video games. However, designing 3D models remains a time-consuming and ...

  3. Modelling of friction stir welding

    E-Print Network [OSTI]

    Colegrove, Paul Andrew

    This thesis investigates the modelling of friction stir welding (FSW). FSW is a relatively new welding process where a rotating non-consumable tool is used to join two materials through high temperature deformation. The aim of the thesis...

  4. Aggregate vehicle travel forecasting model

    SciTech Connect (OSTI)

    Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

    1995-05-01T23:59:59.000Z

    This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

  5. The Schwarzschild Static Cosmological Model

    E-Print Network [OSTI]

    P. H. Pereyra

    2009-04-16T23:59:59.000Z

    The present work describes an immersion in 5D of the interior Schwarzschild solution of the general relativity equations. The model theory is defined in the context of a flat 5D space time matter Minkowski model, using a Tolman like technique, which shows via Lorentz transformations that the solution is compatible with homogeneity and isotropy,thus obeying the cosmological principle. These properties permit one to consider the solution in terms of a cosmological model. In this model, the Universe may be treated as an idealized star with constant density and variable pressure, where each observer can be the center of the same. The observed redshift appears as a static gravitational effect which obeys the sufficiently verified and generally accepted square distance law. The Buchdahl stability theorem establishes a limit of distance observation with density dependence.

  6. Software Modeling and Verification Professors

    E-Print Network [OSTI]

    Ábrahám, Erika

    Software Modeling and Verification Staff · Professors Prof. Dr. Ir. Joost-Pieter Katoen Prof. em) Mark Timmer (Uni Twente, NL) Dr. Olga Tveretina (Karlsruhe University, D) Ralf Wimmer (Universität

  7. Modeling DNA Shuffling Fengzhu Sun

    E-Print Network [OSTI]

    Sun, Fengzhu - Sun, Fengzhu

    Modeling DNA Shuffling Fengzhu Sun 1Department of Genetics Emory University School of Medicine property are selected. Irvine et al. (1991) and Sun et al. (1996) studied in vitro evolution not involving

  8. Hierarchical aggregation in percolation model

    E-Print Network [OSTI]

    2006-01-17T23:59:59.000Z

    There is a growing belief that the complex dynamics of seismicity can be better understood by studying the collective behavior .... for building an empirical description and developing ... is largely predicated in this geometrical model and there.

  9. Crystal-Like geometric modeling

    E-Print Network [OSTI]

    Landreneau, Eric Benjamin

    2006-08-16T23:59:59.000Z

    faces, symmetry, and fractal geometry. The techniques have also been implemented in software, as a proof of concept. They are used in an interactive geometric modeling system, in which users can use these techniques to create crystal-like shapes...

  10. Model Wind Energy Facility Ordinance

    Broader source: Energy.gov [DOE]

    Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative...

  11. Multiscale modeling in granular flow

    E-Print Network [OSTI]

    Rycroft, Christopher Harley

    2007-01-01T23:59:59.000Z

    Granular materials are common in everyday experience, but have long-resisted a complete theoretical description. Here, we consider the regime of slow, dense granular flow, for which there is no general model, representing ...

  12. Graphical Models Michael I. Jordan

    E-Print Network [OSTI]

    Jordan, Michael I.

    Graphical Models Michael I. Jordan Computer Science Division and Department of Statistics; error­control coding. 1. Introduction The fields of Statistics and Computer Science have generally statistics. However, by providing general machinery for manipulating joint probability distribu­ tions

  13. A supersymmetric model for graphene

    E-Print Network [OSTI]

    Everton M. C. Abreu; Marco A. De Andrade; Leonardo P. G. de Assis; Jose A. Helayel-Neto; A. L. M. A. Nogueira; Ricardo C. Paschoal

    2014-07-21T23:59:59.000Z

    In this work, we focus on the fermionic structure of the low-energy excitations of graphene (a monolayer of carbon atoms) to propose a new supersymmetric field-theoretic model for this physical system. In the current literature, other proposals for describing graphene physics have been contemplated at the level of supersymmetric quantum mechanics. Also, by observing the inhomogeneities between neighbor carbon atoms, Jackiw {\\it et al.} have set up an interesting chiral Abelian gauge theory. We show in this paper that our formulation encompasses models discussed previously as sectors of an actually richer (supersymmetric) planar gauge model. Possible interpretations for the fields involved in the present graphene model are proposed and the question of supersymmetry breaking is discussed.

  14. Modeling the Clustering of Objects

    E-Print Network [OSTI]

    E. Salvador-Sole

    1995-12-07T23:59:59.000Z

    I review the main steps made so far towards the construction of a (semi) analytical model for describing the growth history of bound virialized objects or haloes in the gravitational instability scenario. I mainly focus on those models relying on the spherical collapse approximation which have led to the most complete description. I insist on the different assumptions of each model and outline their main advantages and shortcomings. The work is divided in two parts: a first one dealing with the theoretical mass function of objects, and a second one dealing with the typical growth times and rates. Particular attention is paid to a new model making the practical distinction between accretion and merger events.

  15. Physics Beyond the Standard Model

    E-Print Network [OSTI]

    Howard Baer

    2009-08-19T23:59:59.000Z

    I present a brief overview of some exciting possibilities for physics Beyond the Standard Model. I include short discussions of neutrino physics, the strong CP problem and axions, GUTs, large and warped extra dimensions, Little Higgs models and supersymmetry. The chances appear excellent that in the next few years-- as the LHC era gets underway-- data from a bevy of experiments will point the way to a new paradigm for the laws of physics as we know them.

  16. Image Processing with Manifold Models

    E-Print Network [OSTI]

    Milanfar, Peyman

    to the following signals ensemble def. = {x f(x) = A(x) cos((x)) \\ ||A || Amax and || || max.} This model to = R+ Ã? R+ Ã? S1 . The projection of a patch p L2 ([-/2, /2]) on M can be carried over approximately] and defines the windowed Fourier 20 = {x f(x) = A(x) cos((x)) \\ ||A || Amax and || || max.} model of locally

  17. How to model quantum plasmas

    E-Print Network [OSTI]

    G. Manfredi

    2005-05-01T23:59:59.000Z

    Traditional plasma physics has mainly focused on regimes characterized by high temperatures and low densities, for which quantum-mechanical effects have virtually no impact. However, recent technological advances (particularly on miniaturized semiconductor devices and nanoscale objects) have made it possible to envisage practical applications of plasma physics where the quantum nature of the particles plays a crucial role. Here, I shall review different approaches to the modeling of quantum effects in electrostatic collisionless plasmas. The full kinetic model is provided by the Wigner equation, which is the quantum analog of the Vlasov equation. The Wigner formalism is particularly attractive, as it recasts quantum mechanics in the familiar classical phase space, although this comes at the cost of dealing with negative distribution functions. Equivalently, the Wigner model can be expressed in terms of $N$ one-particle Schr{\\"o}dinger equations, coupled by Poisson's equation: this is the Hartree formalism, which is related to the `multi-stream' approach of classical plasma physics. In order to reduce the complexity of the above approaches, it is possible to develop a quantum fluid model by taking velocity-space moments of the Wigner equation. Finally, certain regimes at large excitation energies can be described by semiclassical kinetic models (Vlasov-Poisson), provided that the initial ground-state equilibrium is treated quantum-mechanically. The above models are validated and compared both in the linear and nonlinear regimes.

  18. An improved lake model for climate simulations: Model structure, evaluation, and sensitivity analyses in CESM1

    E-Print Network [OSTI]

    Subin, Z.M.

    2013-01-01T23:59:59.000Z

    into the numerical weather prediction model COSMO, BorealCurrent numerical weather prediction (NWP) models, regionalof lakes in numerical weather prediction and climate models:

  19. Ecological Modelling 193 (2006) 271294 A simulation model of sustainability of coastal communities

    E-Print Network [OSTI]

    Pierce, Graham

    Ecological Modelling 193 (2006) 271­294 A simulation model of sustainability of coastal communities. Keywords: Aquaculture; Sustainability; Fisheries; Simulation model; Employment; Coastal communities

  20. CARD No. 23 Models and Computer Codes

    E-Print Network [OSTI]

    CARD No. 23 Models and Computer Codes 23.A BACKGROUND Section 194.23 addresses the compliance criteria requirements for conceptual models and computer codes. Conceptual models capture a general (PA). The design of computer codes begins with the development of conceptual models. Conceptual models

  1. Reduced models of algae growth Heikki Haario,

    E-Print Network [OSTI]

    Bardsley, John

    Reduced models of algae growth Heikki Haario, Leonid Kalachev Marko Laine, Lappeenranta University of the phenomena studied. Here, in the case of algae growth modelling, we show how a systematic model reduction may: Algae growth modelling, asymptotic methods, model reduction, MCMC, Adaptive Markov chain Monte Carlo. 1

  2. 3, 35253541, 2003 Modelling of Mercury

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 3, 3525­3541, 2003 Modelling of Mercury with the Danish Eulerian Hemispheric Model J. H and Physics Discussions Modelling of mercury with the Danish Eulerian Hemispheric Model J. H. Christensen, J Correspondence to: J. H. Christensen (jc@dmu.dk) 3525 #12;ACPD 3, 3525­3541, 2003 Modelling of Mercury

  3. Hybrid Diverter Sheath Model Jeff Hammel

    E-Print Network [OSTI]

    Wurtele, Jonathan

    Hybrid Diverter Sheath Model Jeff Hammel Plasma Theory and Simulation Group APS ­ Division using a particle-fluid hybrid model. Electrons are modeled as an inertia-less (Boltzmann) fluid gyrokinetic code. The modeling methodology for the iterative nonlinear solver is presented. The hybrid model

  4. Limited Sectoral Trading between the EU ETS and China

    E-Print Network [OSTI]

    Gavard, Claire

    2013-08-21T23:59:59.000Z

    In the negotiations of the United Nations Framework Convention on Climate Change (UNFCCC), new market mechanisms are proposed to involve Non-Annex I countries in the carbon markets developed by Annex I countries, beyond ...

  5. What to Expect from Sectoral Trading: A U.S.–China Example

    E-Print Network [OSTI]

    Gavard, Claire

    In recent United Nations Framework Convention on Climate Change (UNFCCC) negotiations, sectoral mechanisms were proposed as a way to encourage early action and spur investment in low carbon technologies in developing ...

  6. SOIL CARBON: POLICY AND ECONOMICS GREGG MARLAND1

    E-Print Network [OSTI]

    McCarl, Bruce A.

    SOIL CARBON: POLICY AND ECONOMICS GREGG MARLAND1 , BRUCE A. MCCARL2 , UWE SCHNEIDER3 1 Oak Ridge to the UNFCCC held a meeting in Kyoto, Japan, in December 1997, creating a Protocol intended to provide #12;3 3

  7. Can we reconcile differences in estimates of carbon fluxes from land-use change and forestry for the 1990s?

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    Panel on Climate Change (IPCC) and Food and Agricultureuse change to agriculture and pasture and the climate changeAgriculture, Fort Worth, TX, USA, 1991. UNFCCC (United Nations Framework Convention on Climate Change):

  8. Recent increases in global HFC-23 emissions

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    of U.S. greenhouse gas emissions and sinks: 1990-2007, Rep.A. Lindley (2007), Global emissions of HFC-23 estimated to2009), Greenhouse Gas Emissions Data, http://unfccc.int/ghg_

  9. Modeling atmospheric deposition using a stochastic transport model

    SciTech Connect (OSTI)

    Buckley, R.L.

    1999-12-17T23:59:59.000Z

    An advanced stochastic transport model has been modified to include the removal mechanisms of dry and wet deposition. Time-dependent wind and turbulence fields are generated with a prognostic mesoscale numerical model and are used to advect and disperse individually released particles that are each assigned a mass. These particles are subjected to mass reduction in two ways depending on their physical location. Particles near the surface experience a decrease in mass using the concept of a dry deposition velocity, while the mass of particles located within areas of precipitation are depleted using a scavenging coefficient. Two levels of complexity are incorporated into the particle model. The simple case assumes constant values of dry deposition velocity and scavenging coefficient, while the more complex case varies the values according to meteorology, surface conditions, release material, and precipitation intensity. Instantaneous and cumulative dry and wet deposition are determined from the mass loss due to these physical mechanisms. A useful means of validating the model results is with data available from a recent accidental release of Cesium-137 from a steel-processing furnace in Algeciras, Spain in May, 1998. This paper describes the deposition modeling technique, as well as a comparison of simulated concentration and deposition with measurements taken for the Algeciras release.

  10. TANK48 CFD MODELING ANALYSIS

    SciTech Connect (OSTI)

    Lee, S.

    2011-05-17T23:59:59.000Z

    The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank to ensure uniformity of the discharge stream. Mixing is accomplished with one to four dual-nozzle slurry pumps located within the tank liquid. For the work, a Tank 48 simulation model with a maximum of four slurry pumps in operation has been developed to estimate flow patterns for efficient solid mixing. The modeling calculations were performed by using two modeling approaches. One approach is a single-phase Computational Fluid Dynamics (CFD) model to evaluate the flow patterns and qualitative mixing behaviors for a range of different modeling conditions since the model was previously benchmarked against the test results. The other is a two-phase CFD model to estimate solid concentrations in a quantitative way by solving the Eulerian governing equations for the continuous fluid and discrete solid phases over the entire fluid domain of Tank 48. The two-phase results should be considered as the preliminary scoping calculations since the model was not validated against the test results yet. A series of sensitivity calculations for different numbers of pumps and operating conditions has been performed to provide operational guidance for solids suspension and mixing in the tank. In the analysis, the pump was assumed to be stationary. Major solid obstructions including the pump housing, the pump columns, and the 82 inch central support column were included. The steady state and three-dimensional analyses with a two-equation turbulence model were performed with FLUENT{trademark} for the single-phase approach and CFX for the two-phase approach. Recommended operational guidance was developed assuming that local fluid velocity can be used as a measure of sludge suspension and spatial mixing under single-phase tank model. For quantitative analysis, a two-phase fluid-solid model was developed for the same modeling conditions as the single-phase model. The modeling results show that the flow patterns driven by four pump operation satisfy the solid suspension requirement, and the average solid concentration at the plane of the transfer pump inlet is about 12% higher than the tank average concentrations for the 70 inch tank level and about the same as the tank average value for the 29 inch liquid level. When one of the four pumps is not operated, the flow patterns are satisfied with the minimum suspension velocity criterion. However, the solid concentration near the tank bottom is increased by about 30%, although the average solid concentrations near the transfer pump inlet have about the same value as the four-pump baseline results. The flow pattern results show that although the two-pump case satisfies the minimum velocity requirement to suspend the sludge particles, it provides the marginal mixing results for the heavier or larger insoluble materials such as MST and KTPB particles. The results demonstrated that when more than one jet are aiming at the same position of the mixing tank domain, inefficient flow patterns are provided due to the highly localized momentum dissipation, resulting in inactive suspension zone. Thus, after completion of the indexed solids suspension, pump rotations are recommended to avoid producing the nonuniform flow patterns. It is noted that when tank liquid level is reduced from the highest level of 70 inches to the minimum level of 29 inches for a given number of operating pumps, the solid mixing efficiency becomes better since the ratio of the pump power to the mixing volume becomes larger. These results are consistent with the literature results.

  11. 06241 Abstracts Collection Human Motion -Understanding, Modeling,

    E-Print Network [OSTI]

    06241 Abstracts Collection Human Motion - Understanding, Modeling, Capture and Animation. 13th Summary Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop Reinhard Klette 06241 Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop "Theoretical

  12. Medion:The "Orchestrator" Business Model

    E-Print Network [OSTI]

    Ordanini, Andrea; Dedrick, Jason; Kraemer, Kenneth L

    2006-01-01T23:59:59.000Z

    a strongly atypical business model in the PC value chain. Itwas able to execute this business model with flexibility,is to analyze Medion’s business model in detail, in order to

  13. A Model Graphene Diffraction Pattern Frank Rioux

    E-Print Network [OSTI]

    Rioux, Frank

    A Model Graphene Diffraction Pattern Frank Rioux The purpose of this tutorial is to model graphene d Pj k px j py k 2 i 1 A Graphene Model Diffraction Pattern #12;

  14. Modeling of Residential Attics with Radiant Barriers

    E-Print Network [OSTI]

    Wilkes, K. E.

    1988-01-01T23:59:59.000Z

    This paper gives a summary of the efforts at ORNL in modeling residential attics with radiant barriers. Analytical models based on a system of macroscopic heat balances have been developed. Separate models have been developed for horizontal radiant...

  15. 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

  16. Modeling Texture Evolution during Recrystallization in Aluminum

    E-Print Network [OSTI]

    Rollett, Anthony D.

    Modeling Texture Evolution during Recrystallization in Aluminum Abhijit Brahme1,2 , Joseph Fridy3, Aluminum, Grain Boundary Mobility, Nucleation, Oriented Growth, Oriented Nucleation, Stored Energy, Monte Carlo Modeling. #12;Modeling Texture Evolution during Recrystallization in Aluminum 2 1. Introduction

  17. Modeling Water, Climate, Agriculture, and the Economy

    E-Print Network [OSTI]

    Yu, Winston

    Describes two models used in the integrated modeling framework designed to study water, climate, agriculture and the economy in Pakistan's Indus Basin: (1) the Indus Basin Model Revised (IBMR-1012), a hydro-economic ...

  18. HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA Daniel F¨arnqvist Katrin Strandemar and simulation of communication networks using the modeling language Modelica are discussed. Congestion control model, that Modelica provides an efficient platform for the analysis of communication networks

  19. Developing fast and efficient climate models

    E-Print Network [OSTI]

    Williamson, Mark

    , based on the global model of Tim Lenton. The resulting package comprises an Earth System Model was closely integrated with the GENIE (Grid ENabled Integrated Earth system model) project, funded by the NERC

  20. At the Biological Modeling and Simulation Frontier

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    Modeling and Simulation Frontier 57. Norinder U, BergströmModeling and Simulation Frontier C. Anthony Hunt, 1,3,4 GlenThe Modeling and Simulation Frontier Fig. 7. Illustrated are

  1. Selected problems in turbulence theory and modeling

    E-Print Network [OSTI]

    Jeong, Eun-Hwan

    2004-09-30T23:59:59.000Z

    Three different topics of turbulence research that cover modeling, theory and model computation categories are selected and studied in depth. In the first topic, "velocity gradient dynamics in turbulence" (modeling), the Lagrangian linear diffusion...

  2. Mathematical modelings of smart materials and structures

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Mathematical modelings of smart materials and structures Christian Licht , Thibaut Weller mathematical models of smart materials and smart structures. Smart materials are materials which present perturbations methods, asymptotic analysis, plates and rods models. 1 Introduction Smart materials present

  3. Comparison of Chiller Models for Use in Model-Based Fault Detection

    E-Print Network [OSTI]

    Sreedhara, P.; Haves, P.

    2001-01-01T23:59:59.000Z

    , and computational requirements. The objective of this study was to evaluate different modeling approaches for their applicability to model based FDD of vapor compression chillers. Three different models were studied: the Gordon and Ng Universal Chiller model (2nd...

  4. Automated inter-model parameter connection synthesis for simulation model integration

    E-Print Network [OSTI]

    Ligon, Thomas (Thomas Crumrine)

    2007-01-01T23:59:59.000Z

    New simulation modeling environments have been developed such that multiple models can be integrated into a single model. This conglomeration of model data allows designers to better understand the physical phenomenon being ...

  5. Separations and safeguards model integration.

    SciTech Connect (OSTI)

    Cipiti, Benjamin B.; Zinaman, Owen

    2010-09-01T23:59:59.000Z

    Research and development of advanced reprocessing plant designs can greatly benefit from the development of a reprocessing plant model capable of transient solvent extraction chemistry. This type of model can be used to optimize the operations of a plant as well as the designs for safeguards, security, and safety. Previous work has integrated a transient solvent extraction simulation module, based on the Solvent Extraction Process Having Interaction Solutes (SEPHIS) code developed at Oak Ridge National Laboratory, with the Separations and Safeguards Performance Model (SSPM) developed at Sandia National Laboratory, as a first step toward creating a more versatile design and evaluation tool. The goal of this work was to strengthen the integration by linking more variables between the two codes. The results from this integrated model show expected operational performance through plant transients. Additionally, ORIGEN source term files were integrated into the SSPM to provide concentrations, radioactivity, neutron emission rate, and thermal power data for various spent fuels. This data was used to generate measurement blocks that can determine the radioactivity, neutron emission rate, or thermal power of any stream or vessel in the plant model. This work examined how the code could be expanded to integrate other separation steps and benchmark the results to other data. Recommendations for future work will be presented.

  6. Ventilation Model and Analysis Report

    SciTech Connect (OSTI)

    V. Chipman

    2003-07-18T23:59:59.000Z

    This model and analysis report develops, validates, and implements a conceptual model for heat transfer in and around a ventilated emplacement drift. This conceptual model includes thermal radiation between the waste package and the drift wall, convection from the waste package and drift wall surfaces into the flowing air, and conduction in the surrounding host rock. These heat transfer processes are coupled and vary both temporally and spatially, so numerical and analytical methods are used to implement the mathematical equations which describe the conceptual model. These numerical and analytical methods predict the transient response of the system, at the drift scale, in terms of spatially varying temperatures and ventilation efficiencies. The ventilation efficiency describes the effectiveness of the ventilation process in removing radionuclide decay heat from the drift environment. An alternative conceptual model is also developed which evaluates the influence of water and water vapor mass transport on the ventilation efficiency. These effects are described using analytical methods which bound the contribution of latent heat to the system, quantify the effects of varying degrees of host rock saturation (and hence host rock thermal conductivity) on the ventilation efficiency, and evaluate the effects of vapor and enhanced vapor diffusion on the host rock thermal conductivity.

  7. String bit models for superstring

    SciTech Connect (OSTI)

    Bergman, O.; Thorn, C.B.

    1995-12-31T23:59:59.000Z

    The authors extend the model of string as a polymer of string bits to the case of superstring. They mainly concentrate on type II-B superstring, with some discussion of the obstacles presented by not II-B superstring, together with possible strategies for surmounting them. As with previous work on bosonic string work within the light-cone gauge. The bit model possesses a good deal less symmetry than the continuous string theory. For one thing, the bit model is formulated as a Galilei invariant theory in (D {minus} 2) + 1 dimensional space-time. This means that Poincare invariance is reduced to the Galilei subgroup in D {minus} 2 space dimensions. Naturally the supersymmetry present in the bit model is likewise dramatically reduced. Continuous string can arise in the bit models with the formation of infinitely long polymers of string bits. Under the right circumstances (at the critical dimension) these polymers can behave as string moving in D dimensional space-time enjoying the full N = 2 Poincare supersymmetric dynamics of type II-B superstring.

  8. Modeling Molecular Dynamics from Simulations

    SciTech Connect (OSTI)

    Hinrichs, Nina Singhal (University of Chicago) [University of Chicago

    2009-01-28T23:59:59.000Z

    Many important processes in biology occur at the molecular scale. A detailed understanding of these processes can lead to significant advances in the medical and life sciences. For example, many diseases are caused by protein aggregation or misfolding. One approach to studying these systems is to use physically-based computational simulations to model the interactions and movement of the molecules. While molecular simulations are computationally expensive, it is now possible to simulate many independent molecular dynamics trajectories in a parallel fashion by using super- or distributed- computing methods such as Folding@Home or Blue Gene. The analysis of these large, high-dimensional data sets presents new computational challenges. In this seminar, I will discuss a novel approach to analyzing large ensembles of molecular dynamics trajectories to generate a compact model of the dynamics. This model groups conformations into discrete states and describes the dynamics as Markovian, or history-independent, transitions between the states. I will discuss why the Markovian state model (MSM) is suitable for macromolecular dynamics, and how it can be used to answer many interesting and relevant questions about the molecular system. I will also discuss many of the computational and statistical challenges in building such a model, such as how to appropriately cluster conformations, determine the statistical reliability, and efficiently design new simulations.

  9. A Three site Higgsless model

    SciTech Connect (OSTI)

    Chivukula, R. Sekhar; Coleppa, Baradhwaj; Chiara, Stefano Di; Simmons, Elizabeth H.; He, Hong-Jian; Kurachi, Masafumi; Tanabashi, Masaharu [Department of Physics and Astronomy, Michigan State University East Lansing, Michigan 48824 (United States); Center for High Energy Physics, Tsinghua University Beijing 100084 (China); C.N. Yang Institute for Theoretical Physics, State University of New York Stony Brook, New York 11794 (United States); Department of Physics, Tohoku University Sendai 980-8578 (Japan)

    2006-10-01T23:59:59.000Z

    We analyze the spectrum and properties of a highly deconstructed Higgsless model with only three sites. Such a model contains sufficient complexity to incorporate interesting physics issues related to fermion masses and electroweak observables, yet remains simple enough that it could be encoded in a Matrix Element Generator program for use with Monte Carlo simulations. The gauge sector of this model is equivalent to that of the Breaking Electroweak Symmetry Strongly (BESS) model; the new physics of interest here lies in the fermion sector. We analyze the form of the fermion Yukawa couplings required to produce the ideal fermion delocalization that causes tree-level precision electroweak corrections to vanish. We discuss the size of one-loop corrections to b{yields}s{gamma}, the weak-isospin violating parameter {alpha}T and the decay Z{yields}bb. We find that the new fermiophobic vector states (the analogs of the gauge-boson Kaluza-Klein modes in a continuum model) can be reasonably light, with a mass as low as 380 GeV, while the extra (approximately vectorial) quark and lepton states (the analogs of the fermion Kaluza-Klein modes) must be heavier than 1.8 TeV.

  10. Reduced models for quantum gravity

    E-Print Network [OSTI]

    T. Thiemann

    1999-10-04T23:59:59.000Z

    The preceding talks given at this conference have dealt mainly with general ideas for, main problems of and techniques for the task of quantizing gravity canonically. Since one of the major motivations to arrange for this meeting was that it should serve as a beginner's introduction to canonical quantum gravity, we regard it as important to demonstrate the usefulness of the formalism by means of applying it to simplified models of quantum gravity, here formulated in terms of Ashtekar's new variables. From the various, completely solvable, models that have been discussed in the literature we choose those that we consider as most suitable for our pedagogical reasons, namely 2+1 gravity and the spherically symmetric model. The former model arises from a dimensional, the latter from a Killing reduction of full 3+1 gravity. While 2+1 gravity is usually treated in terms of closed topologies without boundary of the initial data hypersurface, the toplogy for the spherically symmetric system is chosen to be asymptotically flat. Finally, 2+1 gravity is more suitably quantized using the loop representation while spherically symmetric gravity is easier to quantize via the self-dual representation. Accordingly, both types of reductions, both types of topologies and both types of representations that are mainly employed in the literature in the context of the new variables come into practice. What makes the discussion especially clear is the fact that for both models the reduced phase space turns out to be finitely dimensional.

  11. Model Development Development of a system emulating the global carbon cycle in Earth system models

    E-Print Network [OSTI]

    K. Tachiiri; J. C. Hargreaves; J. D. Annan; A. Oka; A. Abe-ouchi; M. Kawamiya

    2010-01-01T23:59:59.000Z

    developed a loosely coupled model (LCM) which can represent the outputs of a GCMbased Earth system model

  12. Essays on Multivariate Modeling in Financial Econometrics

    E-Print Network [OSTI]

    Yoldas, Emre

    2008-01-01T23:59:59.000Z

    24 5.1 GARCHTESTING IN MULTIVARIETE GARCH MODELS . . . . . . . . . . .t and J-Statistics for GARCH (1,1) Model of NYSE Returns

  13. FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH

    E-Print Network [OSTI]

    Lesieutre, Bernard

    2013-01-01T23:59:59.000Z

    Air Conditioner Testing in WECC,” IEEE Power  Engineering Air Conditioner Modeling, WECC Load Modeling Task  Force in power system studies: WECC progress update,? Power and 

  14. Model Refinement for Economic Assessments of

    E-Print Network [OSTI]

    Model Refinement for Economic Assessments of Hawai`i Clean Energy Policies: Scenario Selection agency thereof. #12;Model Refinement for Economic Assessments of Hawaii Clean Energy Policies Selection

  15. Colorado: Energy Modeling Products Support Energy Efficiency...

    Office of Environmental Management (EM)

    Colorado: Energy Modeling Products Support Energy Efficiency Projects Colorado: Energy Modeling Products Support Energy Efficiency Projects May 1, 2014 - 11:04am Addthis Xcel...

  16. Reduced Rank Models for Contingency Tables

    E-Print Network [OSTI]

    Jan de Leeuw; Peter van der Heijden

    2011-01-01T23:59:59.000Z

    Solution problem 73-14, Rank factorization of nonnegativein Great Britain Reduced rank models for contingency tablesclass analysis; Reduced rank models. 1. INTRODUCTION In

  17. Sustainable Business Models - Utilities and Efficiency Partnerships...

    Energy Savers [EERE]

    Sustainable Business Models - Utilities and Efficiency Partnerships Sustainable Business Models - Utilities and Efficiency Partnerships Provides an overview and lessons learned on...

  18. Essays on inference and strategic modeling

    E-Print Network [OSTI]

    Gillen, Benjamin J.

    2010-01-01T23:59:59.000Z

    and Q Vuong. Structural econometric analysis of descendinga class of nonregular econometric models. Econometrica, 72(for parameter sets in econometric models. Econometrica, 75(

  19. 201202 Reservoir System Modeling Technologies Conference

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

    Algorithm to Incorporate the Columbia River Non-Power Flow Requirements in the BC Hydro Generalized Optimization Model - University of British Columbia Hydrologic Modeling...

  20. GETEM -Geothermal Electricity Technology Evaluation Model | Department...

    Energy Savers [EERE]

    GETEM -Geothermal Electricity Technology Evaluation Model GETEM -Geothermal Electricity Technology Evaluation Model A guide to providing input to GETEM, the Geothermal Electricity...

  1. Electricity Subsector Cybersecurity Capability Maturity Model...

    Office of Environmental Management (EM)

    Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity...

  2. Electricity Subsector Cybersecurity Capability Maturity Model...

    Office of Environmental Management (EM)

    Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) The...

  3. Directory of Energy Information Administration Models 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-01T23:59:59.000Z

    This directory revises and updates the 1993 directory and includes 15 models of the National Energy Modeling System (NEMS). Three other new models in use by the Energy Information Administration (EIA) have also been included: the Motor Gasoline Market Model (MGMM), Distillate Market Model (DMM), and the Propane Market Model (PPMM). This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses and requirements. Sources for additional information are identified. Included in this directory are 37 EIA models active as of February 1, 1994.

  4. Tribo-Chemical Modeling of Copper CMP

    E-Print Network [OSTI]

    Tripathi, Shantanu; Doyle, Fiona; Dornfeld, David

    2006-01-01T23:59:59.000Z

    TRIBO-CHEMICAL MODELING OF COPPER CMP Shantanu Tripathi 1 ,Technical Area: CMP (Copper) Abstract We are developing antribo-chemical model of copper CMP that considers abrasive

  5. Mineralogic Model (MM3.0) Report

    SciTech Connect (OSTI)

    A. Sanchez

    2004-09-07T23:59:59.000Z

    The purpose of this report is to provide a three-dimensional (3-D) representation of the mineral abundance within the geologic framework model domain. The mineralogic model enables project personnel to estimate mineral abundances at any position, within the model region, and within any stratigraphic unit in the model area. The model provides the abundance and distribution of 10 minerals and mineral groups within 22 stratigraphic sequences or model layers in the Yucca Mountain area. The uncertainties and limitations associated with this model are discussed in Section 6.4. Model validation accomplished by corroboration with data not cited as direct input is discussed in Section 7.

  6. Cybersecurity Capability Maturity Model - Frequently Asked Questions...

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

    - Frequently Asked Questions (February 2014) Cybersecurity Capability Maturity Model - Frequently Asked Questions (February 2014) The Cybersecurity Capability Maturity Model (C2M2)...

  7. Cybersecurity Capability Maturity Model - Facilitator Guide ...

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

    - Facilitator Guide (February 2014) Cybersecurity Capability Maturity Model - Facilitator Guide (February 2014) The Cybersecurity Capability Maturity Model (C2M2) program is...

  8. Watershed and Receiving Water Modeling Introduction ....................................................................................................................................843

    E-Print Network [OSTI]

    Pitt, Robert E.

    .EXE / 1.05 FEMWATER model / documentation 1.00 Jul 93 INSTALGC.EXE / 1.16 GCSOLAR model / documentation 1

  9. Hydrogen Embrittlement Fundamentals, Modeling, and Experiment...

    Energy Savers [EERE]

    Hydrogen Embrittlement Fundamentals, Modeling, and Experiment Hydrogen Embrittlement Fundamentals, Modeling, and Experiment Embrittlement, under static load could be a result of...

  10. Verification and Validation of Simulation Model

    E-Print Network [OSTI]

    Shihada, Basem

    Verification and Validation of Simulation Model 1 Verification and Validation 2 #12;Verification · Examples ­ simulation model: open networks with exponential interarrival time distribution and uniform

  11. Peridynamic model for fatigue cracking.

    SciTech Connect (OSTI)

    Silling, Stewart A.; Abe Askari (Boeing)

    2014-10-01T23:59:59.000Z

    The peridynamic theory is an extension of traditional solid mechanics in which the field equations can be applied on discontinuities, such as growing cracks. This paper proposes a bond damage model within peridynamics to treat the nucleation and growth of cracks due to cyclic loading. Bond damage occurs according to the evolution of a variable called the %22remaining life%22 of each bond that changes over time according to the cyclic strain in the bond. It is shown that the model reproduces the main features of S-N data for typical materials and also reproduces the Paris law for fatigue crack growth. Extensions of the model account for the effects of loading spectrum, fatigue limit, and variable load ratio. A three-dimensional example illustrates the nucleation and growth of a helical fatigue crack in the torsion of an aluminum alloy rod.

  12. Modeling Hepatitis C treatment policy.

    SciTech Connect (OSTI)

    Kuypers, Marshall A.; Lambert, Gregory Joseph; Moore, Thomas W.; Glass, Robert John,; Finley, Patrick D.; Ross, David [Clinical Public Health Group, Veterans Health Administration, Washington, D.C.; Chartier, Maggie

    2013-09-01T23:59:59.000Z

    Chronic infection with Hepatitis C virus (HCV) results in cirrhosis, liver cancer and death. As the nation's largest provider of care for HCV, US Veterans Health Administration (VHA) invests extensive resources in the diagnosis and treatment of the disease. This report documents modeling and analysis of HCV treatment dynamics performed for the VHA aimed at improving service delivery efficiency. System dynamics modeling of disease treatment demonstrated the benefits of early detection and the role of comorbidities in disease progress and patient mortality. Preliminary modeling showed that adherence to rigorous treatment protocols is a primary determinant of treatment success. In depth meta-analysis revealed correlations of adherence and various psycho-social factors. This initial meta-analysis indicates areas where substantial improvement in patient outcomes can potentially result from VA programs which incorporate these factors into their design.

  13. Maxwell's fluid model of magnetism

    E-Print Network [OSTI]

    Robert Brady; Ross Anderson

    2015-02-20T23:59:59.000Z

    In 1861, Maxwell derived two of his equations of electromagnetism by modelling a magnetic line of force as a `molecular vortex' in a fluid-like medium. Later, in 1980, Berry and colleagues conducted experiments on a `phase vortex', a wave geometry in a fluid which is analogous to a magnetic line of force and also exhibits behaviour corresponding to the quantisation of magnetic flux. Here we unify these approaches by writing down a solution to the equations of motion for a compressible fluid which behaves in the same way as a magnetic line of force. We then revisit Maxwell's historical inspiration, namely Faraday's 1846 model of light as disturbances in lines of force. Using our unified model, we show that such disturbances resemble photons: they are polarised, absorbed discretely, obey Maxwell's full equations of electromagnetism to first order, and quantitatively reproduce the correlation that is observed in the Bell tests.

  14. Models of isospin violating ADM

    SciTech Connect (OSTI)

    Okada, Nobuchika [Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487 (United States); Seto, Osamu [Department of Life Science and Technology, Hokkai-Gakuen University, Sapporo 062-8605 (Japan)

    2014-06-24T23:59:59.000Z

    The isospin violating dark matter (IVDM) scenario offers an interesting possibility to reconcile conflicting results among direct dark matter search experiments for a mass range around 10 GeV. We consider two simple renormalizable IVDM models with a complex scalar dark matter and a Dirac fermion dark matter, respectively, whose stability is ensured by the conservation of “dark matter number.” Although both models successfully work as the IVDM scenario with destructive interference between effective couplings to proton and neutron, the dark matter annihilation cross section is found to exceed the cosmological/astrophysical upper bounds. Then, we propose a simple scenario to reconcile the IVDM scenario with the cosmological/astrophysical bounds, namely, the IVDM being asymmetric. We also discuss collider experimental constraints on the models and an implication to Higgs boson physics.

  15. Thermomechanical cavity-growth modeling

    SciTech Connect (OSTI)

    Glass, R.E.

    1982-01-01T23:59:59.000Z

    The results of recent field tests, laboratory studies, and modeling efforts in UCG have indicated that the thermal and mechanical properties of coal may be the controlling parameters in determining initial cavity shape. In examining this possibility, laboratory efforts have been directed at determining temperature and bedding plane dependent properties of coal. A thermomechanical model which uses these properties has indicated that the cavity shapes seen at both the Hanna and Hoe Creek test sites result from the temperature dependent properties of the coal such as the coefficients of thermal expansion and the elastic moduli. The model determines stress levels and uses a simple bedding plane dependent stress failure mechanism to determine cavity growth.

  16. Model-Inspired Research. TES research uses modeling, prediction, and synthesis to identify

    E-Print Network [OSTI]

    in Earth system models (ESMs). TES supports research to advance fundamental understanding of terrestrial-process models, ecosystem models, and the Community Earth System Model). This emphasis on the capture of advanced in Earth system models to increase the quality of climate model projections and to provide the scientific

  17. MODELING PLANT COMPETITION WITH THE GAPS OBJECT-ORIENTED DYNAMIC SIMULATION MODEL

    E-Print Network [OSTI]

    Rossiter, D G "David"

    MODELING PLANT COMPETITION WITH THE GAPS OBJECT-ORIENTED DYNAMIC SIMULATION MODEL David G. Rossiter of Agronomy, Inc. #12;MODELING PLANT COMPETITION WITH THE GAPS OBJECT-ORIENTED DYNAMIC SIMULATION MODEL Abstract Modeling inter-species competition is a natural application for dynamic simulation models

  18. Neural Networks:Neural Networks: Modeling ApplicationsModeling Applications

    E-Print Network [OSTI]

    Petriu, Emil M.

    and/or integral equations representing mathematical model of a given physical process. The coefficients of these equations must be exactly known as they are used to program/adjust the coefficient inherent in analog differentiation the [differential] equation is rearranged so that it can be solved

  19. ORQA: Modeling Energy and Quality of Service within AUTOSAR Models

    E-Print Network [OSTI]

    Boyer, Edmond

    Systems]: Consumer Products--electric vehicle General Terms Design, Management Keywords Autosar, model­21, 2013, Vancouver, BC, Canada. 1. INTRODUCTION The Electric Vehicle (EV) has now reached an industrial CERIE, ESTACA Laval, France 2 MOCS, CACS team Lab-STICC, UEB, UBO Brest, France ABSTRACT Electric

  20. EnergyPlus Model Appendix G -EnergyPlus Model

    E-Print Network [OSTI]

    Home B) C_ela 55.66 51.51 ELA (in.2) 38.83 35.93 The heating, ventilation, and air conditioning (HVAC) system is modeled as a single-speed heat pump with a Seasonal Energy Efficiency Ratio (SEER) of 13 where internal gains, heat pump operation mode and zone thermostat set-points are varied. Two sets

  1. Conditional Markov regime switching model applied to economic modelling.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    and Brent oil price) to show that this modelling well identifies both mean reverting and volatility regimes times series data as business cycle, economic growth or unemployment is not new. In his seminal paper [7 to reproduce the different phase of the business cycles and captures the cyclical behavior of the U.S. GDP

  2. Modeling of Antarctic sea ice in a general circulation model

    SciTech Connect (OSTI)

    Wu, Xingren; Budd, W.F. [Antarctic Cooperative Research Centre, Tasmania (Australia)] [Antarctic Cooperative Research Centre, Tasmania (Australia); Simmonds, I. [School of Earth Sciences, Victoria (Australia)] [School of Earth Sciences, Victoria (Australia)

    1997-04-01T23:59:59.000Z

    A dynamic-thermodynamic sea ice model is developed and coupled with the Melbourne University general circulation model to simulate the seasonal cycle of the Antarctic sea ice distributions The model is efficient, rapid to compute, and useful for a range of climate studies. The thermodynamic part of the sea ice model is similar to that developed by Parkinson and Washington, the dynamics contain a simplified ice rheology that resists compression. The thermodynamics is based on energy conservation at the top surface of the ice/snow, the ice/water interface, and the open water area to determine the ice formation, accretion, and ablation. A lead parameterization is introduced with an effective partitioning scheme for freezing between and under the ice floes. The dynamic calculation determines the motion of ice, which is forced with the atmospheric wind, taking account of ice resistance and rafting. The simulated sea ice distribution compares reasonably well with observations. The seasonal cycle of ice extent is well simulated in phase as well as in magnitude. Simulated sea ice thickness and concentration are also in good agreement with observations over most regions and serve to indicate the importance of advection and ocean drift in the determination of the sea ice distribution. 64 refs., 15 figs., 2 tabs.

  3. HYPERELASTIC MODELS FOR GRANULAR MATERIALS

    SciTech Connect (OSTI)

    Humrickhouse, Paul W; Corradini, Michael L

    2009-01-29T23:59:59.000Z

    A continuum framework for modeling of dust mobilization and transport, and the behavior of granular systems in general, has been reviewed, developed and evaluated for reactor design applications. The large quantities of micron-sized particles expected in the international fusion reactor design, ITER, will accumulate into piles and layers on surfaces, which are large relative to the individual particle size; thus, particle-particle, rather than particle-surface, interactions will determine the behavior of the material in bulk, and a continuum approach is necessary and justified in treating the phenomena of interest; e.g., particle resuspension and transport. The various constitutive relations that characterize these solid particle interactions in dense granular flows have been discussed previously, but prior to mobilization their behavior is not even fluid. Even in the absence of adhesive forces between particles, dust or sand piles can exist in static equilibrium under gravity and other forces, e.g., fluid shear. Their behavior is understood to be elastic, though not linear. The recent “granular elasticity” theory proposes a non-linear elastic model based on “Hertz contacts” between particles; the theory identifies the Coulomb yield condition as a requirement for thermodynamic stability, and has successfully reproduced experimental results for stress distributions in sand piles. The granular elasticity theory is developed and implemented in a stand- alone model and then implemented as part of a finite element model, ABAQUS, to determine the stress distributions in dust piles subjected to shear by a fluid flow. We identify yield with the onset of mobilization, and establish, for a given dust pile and flow geometry, the threshold pressure (force) conditions on the surface due to flow required to initiate it. While the granular elasticity theory applies strictly to cohesionless granular materials, attractive forces are clearly important in the interaction of micron-sized particles; extension of the theory to account for these effects is also considered. A set of continuum models are proposed for use in the future dust transport modeling.

  4. Chemical kinetics and combustion modeling

    SciTech Connect (OSTI)

    Miller, J.A. [Sandia National Laboratories, Livermore, CA (United States)

    1993-12-01T23:59:59.000Z

    The goal of this program is to gain qualitative insight into how pollutants are formed in combustion systems and to develop quantitative mathematical models to predict their formation rates. The approach is an integrated one, combining low-pressure flame experiments, chemical kinetics modeling, theory, and kinetics experiments to gain as clear a picture as possible of the process in question. These efforts are focused on problems involved with the nitrogen chemistry of combustion systems and on the formation of soot and PAH in flames.

  5. Multiscale Modeling with Carbon Nanotubes

    SciTech Connect (OSTI)

    Maiti, A

    2006-02-21T23:59:59.000Z

    Technologically important nanomaterials come in all shapes and sizes. They can range from small molecules to complex composites and mixtures. Depending upon the spatial dimensions of the system and properties under investigation computer modeling of such materials can range from equilibrium and nonequilibrium Quantum Mechanics, to force-field-based Molecular Mechanics and kinetic Monte Carlo, to Mesoscale simulation of evolving morphology, to Finite-Element computation of physical properties. This brief review illustrates some of the above modeling techniques through a number of recent applications with carbon nanotubes: nano electromechanical sensors (NEMS), chemical sensors, metal-nanotube contacts, and polymer-nanotube composites.

  6. Community Renewables: Model Program Rules

    Broader source: Energy.gov [DOE]

    The Interstate Renewable Energy Council (IREC) has worked closely with The Vote Solar Initiative to develop model program rules for community-scale renewables that consider many of the basic issues facing community renewables programs. IREC’s model program rules address such issues as renewable system size, interconnection, eligibility for participation, allocation of the benefits flowing from participation, net metering of system production, and other essential features of a community renewables program. The goal of this effort is to provide stakeholders with program rules they can tailor to the individual circumstances and policy preferences of their state without having to reinvent the wheel at each turn.

  7. Fermionic Models with Superconducting Circuits

    E-Print Network [OSTI]

    U. Las Heras; L. García-Álvarez; A. Mezzacapo; E. Solano; L. Lamata

    2014-11-10T23:59:59.000Z

    We propose a method for the efficient quantum simulation of fermionic systems with superconducting circuits. It consists in the suitable use of Jordan-Wigner mapping, Trotter decomposition, and multiqubit gates, be with the use of a quantum bus or direct capacitive couplings. We apply our method to the paradigmatic cases of 1D and 2D Fermi-Hubbard models, involving couplings with nearest and next-nearest neighbours. Furthermore, we propose an optimal architecture for this model and discuss the benchmarking of the simulations in realistic circuit quantum electrodynamics setups.

  8. Fermionic Models with Superconducting Circuits

    E-Print Network [OSTI]

    U. Las Heras; L. García-Álvarez; A. Mezzacapo; E. Solano; L. Lamata

    2015-03-31T23:59:59.000Z

    We propose a method for the efficient quantum simulation of fermionic systems with superconducting circuits. It consists in the suitable use of Jordan-Wigner mapping, Trotter decomposition, and multiqubit gates, be with the use of a quantum bus or direct capacitive couplings. We apply our method to the paradigmatic cases of 1D and 2D Fermi-Hubbard models, involving couplings with nearest and next-nearest neighbours. Furthermore, we propose an optimal architecture for this model and discuss the benchmarking of the simulations in realistic circuit quantum electrodynamics setups.

  9. Extreme Conditions Modeling Workshop Report

    SciTech Connect (OSTI)

    Coe, R. G.; Neary, V. S.; Lawson, M. J.; Yu, Y.; Weber, J.

    2014-07-01T23:59:59.000Z

    Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, NM on May 13th-14th, 2014. The objective of the workshop was to review the current state of knowledge on how to model WECs in extreme conditions (e.g. hurricanes and other large storms) and to suggest how U.S. Department of Energy (DOE) and national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry.

  10. Model Validation with Hybrid Dynamic Simulation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

    2006-06-18T23:59:59.000Z

    Abstract—Model validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation.

  11. EIA model documentation: Petroleum market model of the national energy modeling system

    SciTech Connect (OSTI)

    NONE

    1995-12-28T23:59:59.000Z

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.

  12. Confronting the challenge of hybrid modeling: Using discrete choice models to inform the behavioural parameters of a hybrid model

    E-Print Network [OSTI]

    , Habart and Associates ABSTRACT The development of hybrid models represents an important step in energy parameters of a hybrid model, the behavioural realism of the DCM can be coupled with the system feedbacks of the energy economy hybrid model to produce an integrated model that is both behaviourally realistic

  13. Water Distribution and Removal Model

    SciTech Connect (OSTI)

    Y. Deng; N. Chipman; E.L. Hardin

    2005-08-26T23:59:59.000Z

    The design of the Yucca Mountain high level radioactive waste repository depends on the performance of the engineered barrier system (EBS). To support the total system performance assessment (TSPA), the Engineered Barrier System Degradation, Flow, and Transport Process Model Report (EBS PMR) is developed to describe the thermal, mechanical, chemical, hydrological, biological, and radionuclide transport processes within the emplacement drifts, which includes the following major analysis/model reports (AMRs): (1) EBS Water Distribution and Removal (WD&R) Model; (2) EBS Physical and Chemical Environment (P&CE) Model; (3) EBS Radionuclide Transport (EBS RNT) Model; and (4) EBS Multiscale Thermohydrologic (TH) Model. Technical information, including data, analyses, models, software, and supporting documents will be provided to defend the applicability of these models for their intended purpose of evaluating the postclosure performance of the Yucca Mountain repository system. The WD&R model ARM is important to the site recommendation. Water distribution and removal represents one component of the overall EBS. Under some conditions, liquid water will seep into emplacement drifts through fractures in the host rock and move generally downward, potentially contacting waste packages. After waste packages are breached by corrosion, some of this seepage water will contact the waste, dissolve or suspend radionuclides, and ultimately carry radionuclides through the EBS to the near-field host rock. Lateral diversion of liquid water within the drift will occur at the inner drift surface, and more significantly from the operation of engineered structures such as drip shields and the outer surface of waste packages. If most of the seepage flux can be diverted laterally and removed from the drifts before contacting the wastes, the release of radionuclides from the EBS can be controlled, resulting in a proportional reduction in dose release at the accessible environment. The purposes of this WD&R model (CRWMS M&O 2000b) are to quantify and evaluate the distribution and drainage of seepage water within emplacement drifts during the period of compliance for post-closure performance. The model bounds the fraction of water entering the drift that will be prevented from contacting the waste by the combined effects of engineered controls on water distribution and on water removal. For example, water can be removed during pre-closure operation by ventilation and after closure by natural drainage into the fractured rock. Engineered drains could be used, if demonstrated to be necessary and effective, to ensure that adequate drainage capacity is provided. This report provides the screening arguments for certain Features, Events, and Processes (FEPs) that are related to water distribution and removal in the EBS. Applicable acceptance criteria from the Issue Resolution Status Reports (IRSRs) developed by the U.S. Nuclear Regulatory Commission (NRC 1999a; 1999b; 1999c; and 1999d) are also addressed in this document.

  14. Viscoelastic Model for Lung Parenchyma for Multi-Scale Modeling of Respiratory System, Phase II: Dodecahedral Micro-Model

    SciTech Connect (OSTI)

    Freed, Alan D.; Einstein, Daniel R.; Carson, James P.; Jacob, Rick E.

    2012-03-01T23:59:59.000Z

    In the first year of this contractual effort a hypo-elastic constitutive model was developed and shown to have great potential in modeling the elastic response of parenchyma. This model resides at the macroscopic level of the continuum. In this, the second year of our support, an isotropic dodecahedron is employed as an alveolar model. This is a microscopic model for parenchyma. A hopeful outcome is that the linkage between these two scales of modeling will be a source of insight and inspiration that will aid us in the final year's activity: creating a viscoelastic model for parenchyma.

  15. Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixing Up aSTANDARDS

  16. Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixing Up aSTANDARDSwarm dense

  17. Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixing Up aSTANDARDSwarm densein

  18. Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixing Up aSTANDARDSwarm

  19. Modeling

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixing Up

  20. Software Reliability Modeling James LEDOUX

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Software Reliability Modeling James LEDOUX Centre de Math´ematiques INSA & IRMAR 20 Avenue des an overview of some aspects of Software Reliability (SR) engineering. Most systems are now driven by software in reliability engineering, particularly in terms of cost. But predicting software reliability is not easy