Sample records for bottom-up process modeling

  1. Bottom-Up and Top-Down Processes in Emotion Generation: Common and Distinct Neural Mechanisms

    E-Print Network [OSTI]

    Ochsner, Kevin N.

    Emotions are generally thought to arise through the interaction of bottom-up and top-down processes. However, prior work has not delineated their relative contributions. In a sample of 20 females, we used functional magnetic ...

  2. Representing energy technologies in top-down economic models using bottom-up information

    E-Print Network [OSTI]

    McFarland, James R.; Reilly, John M.; Herzog, Howard J.

    This paper uses bottom-up engineering information as a basis for modeling new technologies within the MIT Emissions Prediction and Policy Analysis (EPPA) model, a computable general equilibrium model of the world economy. ...

  3. Bottoms Up

    E-Print Network [OSTI]

    Hacker, Randi; Boyd, David

    2011-03-30T23:59:59.000Z

    Broadcast Transcript: "Bottoms up!" Or, "gan bei," as they say here in China. But what are you drinking? It could either be the authentic 144-proof sorghum-based liquor Moutai, or a clever counterfeit. Moutai has been dubbed the "national wine...

  4. Top-down modification of bottom-up processes: selective grazing reduces macroalgal nitrogen uptake

    E-Print Network [OSTI]

    Bracken, MES; Stachowicz, J J

    2007-01-01T23:59:59.000Z

    flow and clear plastic tops to maximize light penetration.RC, Kohrs DG, Alberte RS (1996) Top-down im- pact through aSer Published January 25 Top-down modification of bottom-up

  5. Energy efficiency and the cost of GHG abatement: A comparison of bottom-up and hybrid models for the US

    E-Print Network [OSTI]

    Energy efficiency and the cost of GHG abatement: A comparison of bottom-up and hybrid models energy­economy models. Using the CIMS hybrid model, we conducted simulations for comparison with the Mc February 2011 Accepted 16 August 2011 Available online 17 September 2011 Keywords: Energy efficiency

  6. A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles

    E-Print Network [OSTI]

    Kumar, Ratnesh

    A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles M. O'Connor, S. Tangirala, R. Kumar, S. Bhattacharyya, M. Sznaier and L.E. Holloway Abstract -- We present a systematic method of verification for a hierarchical hybrid system

  7. TOP-DOWN AND BOTTOM-UP EFFECTS IN A DETRITAL FOOD WEB: THE PITCHER PLANT INQUILINE COMMUNITY AS A MODEL FOOD WEB

    E-Print Network [OSTI]

    Notre Dame, University of

    TOP-DOWN AND BOTTOM-UP EFFECTS IN A DETRITAL FOOD WEB: THE PITCHER PLANT INQUILINE COMMUNITY;TOP-DOWN AND BOTTOM-UP EFFECTS IN A DETRITAL FOOD WEB: THE PITCHER PLANT INQUILINE COMMUNITY that regulate food web dynamics. Both top-down and bottom-up forces affect populations within a food web

  8. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    EIA) Manufacturing Energy Consumption Survey (MECS) ModelEIA), 2005. 2002 Manufacturing Energy Consumption Survey onSurvey (MECS), such as crosscutting technologies like process controls, building controls, waste heat recovery or adjustable speed drives (EIA

  9. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    wet and dry kilns, and modern control systems now find widermodern systems use so- called 'fuzzy logic' or expert control,modern preheater. 6.0 Finish Grinding Process Control and Management – Grinding Mills. Control systems

  10. An Extended Model for the Evolution of Prebiotic Homochirality: A Bottom-Up Approach to the Origin of Life

    E-Print Network [OSTI]

    Marcelo Gleiser; Sara Imari Walker

    2008-02-20T23:59:59.000Z

    A generalized autocatalytic model for chiral polymerization is investigated in detail. Apart from enantiomeric cross-inhibition, the model allows for the autogenic (non-catalytic) formation of left and right-handed monomers from a substrate with reaction rates $\\epsilon_L$ and $\\epsilon_R$, respectively. The spatiotemporal evolution of the net chiral asymmetry is studied for models with several values of the maximum polymer length, N. For N=2, we study the validity of the adiabatic approximation often cited in the literature. We show that the approximation obtains the correct equilibrium values of the net chirality, but fails to reproduce the short time behavior. We show also that the autogenic term in the full N=2 model behaves as a control parameter in a chiral symmetry- breaking phase transition leading to full homochirality from racemic initial conditions. We study the dynamics of the N -> infinity model with symmetric ($\\epsilon_L = \\epsilon_R$) autogenic formation, showing that it only achieves homochirality for $\\epsilon development of homochirality in prebiotic Earth and possible experimental verification of our findings.

  11. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    SciTech Connect (OSTI)

    Sathaye, J.; Xu, T.; Galitsky, C.

    2010-08-15T23:59:59.000Z

    Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models.

  12. A Bottom-Up Approach to SUSY Analyses

    SciTech Connect (OSTI)

    Horn, Claus; /SLAC

    2011-11-11T23:59:59.000Z

    This paper proposes a new way to do event generation and analysis in searches for new physics at the LHC. An abstract notation is used to describe the new particles on a level which better corresponds to detector resolution of LHC experiments. In this way the SUSY discovery space can be decomposed into a small number of eigenmodes each with only a few parameters, which allows to investigate the SUSY parameter space in a model-independent way. By focusing on the experimental observables for each process investigated the Bottom-Up Approach allows to systematically study the boarders of the experimental efficiencies and thus to extend the sensitivity for new physics.

  13. A Bottom-Up Approach to SUSY Analyses

    E-Print Network [OSTI]

    Claus Horn

    2009-06-02T23:59:59.000Z

    This paper proposes a new way to do event generation and analysis in searches for new physics at the LHC. An abstract notation is used to describe the new particles on a level which better corresponds to detector resolution of LHC experiments. In this way the SUSY discovery space can be decomposed into a small number of eigenmodes each with only a few parameters, which allows to investigate the SUSY parameter space in a model-independent way. By focusing on the experimental observables for each process investigated the Bottom-Up Approach allows to systematically study the boarders of the experimental efficiencies and thus to extend the sensitivity for new physics.

  14. Enzyme Design From the Bottom Up: An Active Nickel Electrocatalyst...

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

    Enzyme Design From the Bottom Up: An Active Nickel Electrocatalyst with a Structured Peptide Outer Coordination Sphere. Enzyme Design From the Bottom Up: An Active Nickel...

  15. Bottom-up graphene nanoribbon field-effect transistors

    SciTech Connect (OSTI)

    Bennett, Patrick B. [Applied Science and Technology, University of California, Berkeley, California 94720 (United States) [Applied Science and Technology, University of California, Berkeley, California 94720 (United States); Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720 (United States); Pedramrazi, Zahra [Department of Physics, University of California, Berkeley, California 94720 (United States)] [Department of Physics, University of California, Berkeley, California 94720 (United States); Madani, Ali [Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720 (United States)] [Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720 (United States); Chen, Yen-Chia; Crommie, Michael F. [Department of Physics, University of California, Berkeley, California 94720 (United States) [Department of Physics, University of California, Berkeley, California 94720 (United States); Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720 (United States); Oteyza, Dimas G. de [Department of Physics, University of California, Berkeley, California 94720 (United States) [Department of Physics, University of California, Berkeley, California 94720 (United States); Centro de Física de Materiales CSIC/UPV-EHU-Materials Physics Center, San Sebastián E-20018 (Spain); Chen, Chen [Department of Chemistry, University of California, Berkeley, California 94720 (United States)] [Department of Chemistry, University of California, Berkeley, California 94720 (United States); Fischer, Felix R. [Department of Chemistry, University of California, Berkeley, California 94720 (United States) [Department of Chemistry, University of California, Berkeley, California 94720 (United States); Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720 (United States); Bokor, Jeffrey, E-mail: jbokor@eecs.berkeley.edu [Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720 (United States) [Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720 (United States); Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720 (United States)

    2013-12-16T23:59:59.000Z

    Recently developed processes have enabled bottom-up chemical synthesis of graphene nanoribbons (GNRs) with precise atomic structure. These GNRs are ideal candidates for electronic devices because of their uniformity, extremely narrow width below 1?nm, atomically perfect edge structure, and desirable electronic properties. Here, we demonstrate nano-scale chemically synthesized GNR field-effect transistors, made possible by development of a reliable layer transfer process. We observe strong environmental sensitivity and unique transport behavior characteristic of sub-1?nm width GNRs.

  16. Architectures built using bottom-up self-assembly of nanoelectronic devices will need to tolerate defect rates that

    E-Print Network [OSTI]

    Sorin, Daniel J.

    in the lithography process, the high energy associated with shorter wavelengths and the accuracy needed to fabricate1 Abstract Architectures built using bottom-up self-assembly of nanoelectronic devices will need isolation. Simulations show that, for a fail-stop model of node failure, the broadcast connects all nodes

  17. Architectures built using bottom-up self-assembly of nanoelectronic devices will need to tolerate defect rates that

    E-Print Network [OSTI]

    Dwyer, Chris

    in the lithography process, the high energy associated with shorter wavelengths and the accuracy needed to fabricateAbstract Architectures built using bottom-up self-assembly of nanoelectronic devices will need isolation. Simulations show that, for a fail-stop model of node failure, the broadcast connects all nodes

  18. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    SciTech Connect (OSTI)

    Xu, T.T.; Sathaye, J.; Galitsky, C.

    2010-09-30T23:59:59.000Z

    Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. With the working of energy programs and policies on carbon regulation, how to effectively analyze and manage the costs associated with GHG reductions become extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions (e.g., carbon emission) for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models. In this report, we first conduct brief overview on different representations of end-use technologies (mitigation measures) in various energy-climate models, followed by problem statements, and a description of the basic concepts of quantifying the cost of conserved energy including integrating non-regrets options. A non-regrets option is defined as a GHG reduction option that is cost effective, without considering their additional benefits related to reducing GHG emissions. Based upon these, we develop information on costs of mitigation measures and technological change. These serve as the basis for collating the data on energy savings and costs for their future use in integrated assessment models. In addition to descriptions of the iron and steel making processes, and the mitigation measures identified in this study, the report includes tabulated databases on costs of measure implementation, energy savings, carbon-emission reduction, and lifetimes. The cost curve data on mitigation measures are available over time, which allows an estimation of technological change over a decade-long historical period. In particular, the report will describe new treatment of technological change in energy-climate modeling for this industry sector, i.e., assessing the changes in costs and energy-savings potentials via comparing 1994 and 2002 conservation supply curves. In this study, we compared the same set of mitigation measures for both 1994 and 2002 -- no additional mitigation measure for year 2002 was included due to unavailability of such data. Therefore, the estimated potentials in total energy savings and carbon reduction would most likely be more conservative for year 2002 in this study. Based upon the cost curves, the rate of change in the savings potential at a given cost can be evaluated and be used to estimate future rates of change that can be the input for energy-climate models. Through characterizing energy-efficiency technology costs and improvement potentials, we have developed and presented energy cost curves for energy efficiency measures applicable to the U.S. iron and steel industry for the years 1994 and 2002. The cost curves can change significantly under various scenarios: the baseline year, discount rate, energy intensity, production, industry structure (e.g., integrated versus secondary steel making and number of plants), efficiency (or mitigation) measures, share of iron and steel production to which the individual measures can be applied, and inclusion of other non-energy benefits. Inclusion of other non-energy benefits from implementing mitigation measures can reduce the costs of conserved energy significantly. In addition, costs of conserved energy (CCE) for individual mitigation measures increase with the increases in discount rates, resulting in a general increase in total cost of mitigation measures for implementation and operation with a higher discount rate. In 1994, integrated steel mills in the U.S. produced 55.

  19. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    the production process for ethanol fuel including theS4). With the exception of ethanol, fuel CO 2 intensity ispolicy results in zero ethanol ?ex-fuel vehicle penetration

  20. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    EIA) Manufacturing Energy Consumption Survey (MECS) ModelEIA), 2005. 2002 Manufacturing Energy Consumption Survey onEIA), 2009. 2006 Manufacturing Energy Consumption Survey on

  1. Top-down and bottom-up excursions beyond the Standard Model: The example of left-right symmetries in supersymmetry

    E-Print Network [OSTI]

    Adam Alloul

    2014-04-17T23:59:59.000Z

    In this Ph.D thesis three main projects are presented. In the first one the phenomenology associated with the neutralinos and charginos sector of the left-right symmetric supersymmetric model is explored. After a detailed motivation of the study and construction of such models, it is shown that these models can be easily discovered in multi-leptonic final states as they lead to signatures very different from those induced by the Standard Model or its supersymmetric version. In the second project, we concentrate on the phenomenology associated with doubly-charged particles. Starting from the hypothesis that such a particle is discovered at the LHC, we build several effective field theories depending on both the representation under SU(2)_L to which they belong the particle and their spin and perform a Monte Carlo analysis highlighting some key observables that would help to determine their quantum numbers. Another part of my thesis, complementary to the phenomenology work, has consisted in developping computer programs that might be helpful for phenomenological studies. Working in the framework of the Mathematica package FeynRules, I took part in the development of a routine able to extract automatically the analytical expressions of the renormalization group equations at the two-loop level for any renormalizable supersymmetric model. I have also been involved in the development of another module of FeynRules able to extract automatically the analytical expressions for the mass matrices associated to any model implemented in FeynRules and to export these equations in the form of a C++ source code able to diagonalize the matrices and store the mixing matrices as well as the spectrum in an SLHA-compliant file.

  2. When Top-Down Meets Bottom-Up: Auditory Training Enhances VerbalMemory in Schizophrenia

    E-Print Network [OSTI]

    Vinogradov, Sophia

    2009-01-01T23:59:59.000Z

    September 10, 2009 When Top-Down Meets Bottom-Up: Auditorynot only the higher order or ‘‘top-down’’ processes of cog-representations as well as ‘‘top-down’’ attention and

  3. Some recent advances in the bottom-up holographic approach to QCD

    SciTech Connect (OSTI)

    Afonin, S. S. [Saint Petersburg State University, 1 ul. Ulyanovskaya, St. Petersburg, 198504 (Russian Federation)

    2014-07-23T23:59:59.000Z

    We give a brief report on our recent results in the bottom-up holographic approach to QCD. The holographic description of the heavy vector quarkonia and generalization of the Soft Wall model are discussed.

  4. Nanowires As Building Blocks for Bottom-Up Nanotechnology

    E-Print Network [OSTI]

    Wang, Zhong L.

    #12;Nanowires As Building Blocks for Bottom-Up Nanotechnology The field of nanotechnology/or combinations of function in an integrated nanosystem. To enable this bottom-up approach for nanotechnology-dimensional (1D) nanostruc- tures at the forefront of nanoscience and nanotechnology. NWs and NBs are typi- cally

  5. Bottom-Up Top-Down 3D Human Pose Estimation Integrating Bottom-Up and Top-Down Approach from Monocular Image

    E-Print Network [OSTI]

    Takiguchi, Tetsuya

    Bottom-Up Top-Down 3 3D Human Pose Estimation Integrating Bottom-Up and Top-Down Approach from and Technology, Kobe University 2 Organization of Advanced Science and Technology 1 3 HOG 3 Bottom-up Top-down 2 3 x web [1] HOG [2] 3 3D Bottom-Up Top-Down Bottom-Up Top-Down 3.1 Bottom-Up HOG z 3 x x = Rz + (1

  6. The $m$'bottom-up parton system with two momentum scales

    E-Print Network [OSTI]

    Khachatryan, Vladimir; Hemmick, Thomas K

    2015-01-01T23:59:59.000Z

    One possible evolutionary scenario of the dense gluon system produced in an ultrarelativistic heavy ion collision is the bottom-up thermalization scenario, which describes the dynamics of the system shortly after the collision via the decay of originally produced hard gluons to soft ones through QCD branching processes. The soft gluons form a thermal bath that subsequently reaches thermalization and/or equilibration. There is a scaling solution to the bottom-up problem that interpolates between its early stage, which has a highly anisotropic gluon distribution, and its final stage of equilibration which occurs later. Such a solution depends on a single parameter, the so called momentum asymmetry parameter $\\delta$. With this scaling solution, the bottom-up scenario gets modified and the evolving parton system, referred to as the $m$'bottom-up parton system throughout this paper, is described by this modification. The time evolution of the system in the original bottom-up ansatz is driven by the saturation sca...

  7. Top-down versus bottom-up learning in cognitive skill acquisition

    E-Print Network [OSTI]

    Varela, Carlos

    Top-down versus bottom-up learning in cognitive skill acquisition Action editor: Vasant Honavar Ron between implicit and explicit processes during skill learning, in terms of top-down learning (that is learning that takes into account both implicit and explicit processes and both top-down and bottom

  8. An integrated top-down and bottom-up proteomic approach to characteriz...

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

    Publications An integrated top-down and bottom-up proteomic approach to characterize the antigen binding fragment of antibodies. An integrated top-down and bottom-up proteomic...

  9. Top-Down versus Bottom-Up Learning in Skill Acquisition Ron Sun (rsun@cecs.missouri.edu)

    E-Print Network [OSTI]

    Varela, Carlos

    Top-Down versus Bottom-Up Learning in Skill Acquisition Ron Sun (rsun@cecs.missouri.edu) Xi Zhang This paper studies the interaction between implicit and explicit processes in skill learning, in terms of top of skill learning that takes into account both im- plicit and explicit processes and both top

  10. Bottom-up, social innovation for addressing climate change Noam Bergman, University of Oxford

    E-Print Network [OSTI]

    1 Bottom-up, social innovation for addressing climate change Noam Bergman, University of Oxford and practice in the area of bottom-up, social innovation could yield benefits if integrated into wider employing new technical solutions, we identify these as warranting more research, policy and support. Bottom-up

  11. A Top-down and Bottom-up look at Emissions Abatement in Germany in response to the EU ETS

    E-Print Network [OSTI]

    Feilhauer, Stephan M. (Stephan Marvin)

    2008-01-01T23:59:59.000Z

    This paper uses top-down trend analysis and a bottom-up power sector model to define upper and lower boundaries on abatement in Germany in the first phase of the EU Emissions Trading Scheme (2005-2007). Long-term trend ...

  12. A new bottom-up search method for determining all maximal efficient ...

    E-Print Network [OSTI]

    Ta Van Tu

    2014-11-04T23:59:59.000Z

    Nov 4, 2014 ... Abstract: Bottom-up search methods for determining the efficient set of a multiple objective linear programming (MOLP) problem have a ...

  13. An integrated top-down and bottom-up proteomic approach to characteriz...

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

    approach to characterize the antigen binding fragment of antibodies. An integrated top-down and bottom-up proteomic approach to characterize the antigen binding fragment of...

  14. art bottom-up methods: Topics by E-print Network

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

    liquor Moutai, or a clever counterfeit. Moutai has been dubbed the "national wine... Hacker, Randi; Boyd, David 2011-03-30 2 introduction videogame stimuli bottom-up...

  15. Mesoscale regulation comes from the bottom-up: intertidal interactions between consumers

    E-Print Network [OSTI]

    Nielsen, Karina J.

    REPORT Mesoscale regulation comes from the bottom-up: intertidal interactions between consumers variation in nutrient supply to shift community structure over mesoscales. Keywords Macroalgae, upwelling

  16. Bottom-up isotropization in classical-statistical lattice gauge theory

    E-Print Network [OSTI]

    J. Berges; S. Scheffler; D. Sexty

    2008-01-11T23:59:59.000Z

    We compute nonequilibrium dynamics for classical-statistical SU(2) pure gauge theory on a lattice. We consider anisotropic initial conditions with high occupation numbers in the transverse plane on a characteristic scale ~ Q_s. This is used to investigate the very early stages of the thermalization process in the context of heavy-ion collisions. We find Weibel or "primary" instabilities with growth rates similar to those obtained from previous treatments employing anisotropic distributions of hard modes (particles) in the weak coupling limit. We observe "secondary" growth rates for higher-momentum modes reaching substantially larger values and we analyse them in terms of resummed loop diagrams beyond the hard-loop approximation. We find that a coarse grained pressure isotropizes "bottom-up" with a characteristic inverse rate of gamma^{-1} ~ 1 - 2 fm/c for coarse graining momentum scales of p energy density for RHIC of epsilon = 30 GeV/fm^3. The nonequilibrium spatial Wilson loop is found to exhibit an area law and to become isotropic on a similar time scale.

  17. An integrated top-down and bottom-up strategy for characterization protein isoforms and modifications

    SciTech Connect (OSTI)

    Wu, Si; Tolic, Nikola; Tian, Zhixin; Robinson, Errol W.; Pasa-Tolic, Ljiljana

    2011-04-15T23:59:59.000Z

    Bottom-up and top-down strategies are two commonly used methods for mass spectrometry (MS) based protein identification; each method has its own advantages and disadvantages. In this chapter, we describe an integrated top-down and bottom-up approach facilitated by concurrent liquid chromatography-mass spectrometry (LC-MS) analysis and fraction collection for comprehensive high-throughput intact protein profiling. The approach employs a high resolution reversed phase (RP) LC separation coupled with LC eluent fraction collection and concurrent on-line MS with a high field (12 Tesla) Fourier-transform ion cyclotron resonance (FTICR) mass spectrometer. Protein elusion profiles and tentative modified protein identification are made using detected intact protein mass in conjunction with bottom-up protein identifications from the enzymatic digestion and analysis of corresponding LC fractions. Specific proteins of biological interest are incorporated into a target ion list for subsequent off-line gas-phase fragmentation that uses an aliquot of the original collected LC fraction, an aliquot of which was also used for bottom-up analysis.

  18. A bottom-up analysis of including aviation within theEU's Emissions Trading Scheme

    E-Print Network [OSTI]

    Watson, Andrew

    A bottom-up analysis of including aviation within theEU's Emissions Trading Scheme Alice Bows-up analysis of including aviation within the EU's Emissions Trading Scheme Alice Bows & Kevin Anderson Tyndall's emissions trading scheme. Results indicate that unless the scheme adopts both an early baseline year

  19. TOP-DOWN/BOTTOM-UP APPROACH FOR DEVELOPING SUSTAINABLE DEVELOPMENT INDICATORS FOR MINING

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 TOP-DOWN/BOTTOM-UP APPROACH FOR DEVELOPING SUSTAINABLE DEVELOPMENT INDICATORS FOR MINING: APPLICATION TO THE ARLIT URANIUM MINES (NIGER) A. Chamareta)b) , M. O'Connor a) and G. Récoché b) a indicators for assessing impacts and performances of mining sites thus appears necessary to inform

  20. Bottom-up and top-down emotion generation: implications for emotion regulation

    E-Print Network [OSTI]

    Gross, James J.

    Bottom-up and top-down emotion generation: implications for emotion regulation Kateri McRae,1, The University of Denver, Denver, CO 80209 and 2 Stanford University, Stanford, CA, USA Emotion regulation plays a crucial role in adaptive functioning and mounting evidence suggests that some emotion regulation

  1. Top-down and bottom-up diversity cascades in detrital vs. living food webs

    E-Print Network [OSTI]

    Dyer, Lee

    REPORT Top-down and bottom-up diversity cascades in detrital vs. living food webs Lee A. Dyer1 for maintaining diversity in biotic communities, but the indirect (ÔcascadingÕ) effects of top-down and bottom in decomposer food webs. We measured effects of top predators and plant resources on the diversity of endophytic

  2. Top-down modification of bottom-up processes: selective grazing reduces macroalgal nitrogen uptake

    E-Print Network [OSTI]

    Bracken, MES; Stachowicz, J J

    2007-01-01T23:59:59.000Z

    morphology associated with kelp crab Pugettia productauptake SA:V (cm 2 ml –1 ) kelp crab grazing simulatedmenziesii. Influences of kelp crab Pugettia producta grazing

  3. Top-down modification of bottom-up processes: selective grazing reduces macroalgal nitrogen uptake

    E-Print Network [OSTI]

    Bracken, MES; Stachowicz, J J

    2007-01-01T23:59:59.000Z

    the kelp’s subsequent ability to acquire nutrients. Becauseof nutrient enhancement on the inter- tidal kelp Hedophyllumkelps and other large, dominant macrophytes. In our study, Pugettia producta reduced the biomass- specific nutrient-

  4. Teaching application-orientated mathematics and developing didactic from the bottom up Regina Puscher and Rdiger Vernay

    E-Print Network [OSTI]

    Spagnolo, Filippo

    261 Teaching application-orientated mathematics and developing didactic from the bottom up Regina the possibilities of didactic development from the bottom, from the work of practising teachers, and illustrate of the MUED the latest developements in math-didactics can be discussed from the view of schoolteachers

  5. www.sciencemag.org SCIENCE VOL 313 22 SEPTEMBER 2006 1737 Top-Down Vs. Bottom-Up

    E-Print Network [OSTI]

    Edwards, Matthew

    for nutrients or pri- mary production in nearshore kelp forests and despite evidence to the contrary [e.g., (9www.sciencemag.org SCIENCE VOL 313 22 SEPTEMBER 2006 1737 Top-Down Vs. Bottom-Up Effects in Kelp Forests IN THEIR REPORT "STRONG TOP-DOWN CON- trol in southern California kelp forest ecosystems" (26 May

  6. A Bottom up Approach to on-Road CO2 Emissions Estimates: Improved Spatial Accuracy and Applications for Regional Planning

    E-Print Network [OSTI]

    Hutyra, Lucy R.

    component of vehicle greenhouse gas (GHG) emissions is CO2 generated by the combustion of motor gasoline and diesel fuel. CO2 emissions contribute to global climate change,2 but the United States has yetA Bottom up Approach to on-Road CO2 Emissions Estimates: Improved Spatial Accuracy and Applications

  7. A bottom-up engineering estimate of the aggregate heating andcooling loads of the entire U.S. building stock

    SciTech Connect (OSTI)

    Huang, Yu Joe; Brodrick, Jim

    2000-08-01T23:59:59.000Z

    A recently completed project for the U.S. Department of Energy's (DOE) Office of Building Equipment combined DOE-2 results for a large set of prototypical commercial and residential buildings with data from the Energy Information Administration (EIA) residential and commercial energy consumption surveys (RECS, CBECS) to estimate the total heating and cooling loads in U.S. buildings attributable to different shell components such as windows, roofs, walls, etc., internal processes, and space-conditioning systems. This information is useful for estimating the national conservation potentials for DOE's research and market transformation activities in building energy efficiency. The prototypical building descriptions and DOE-2 input files were developed from 1986 to 1992 to provide benchmark hourly building loads for the Gas Research Institute (GRI) and include 112 single-family, 66 multi-family, and 481 commercial building prototypes. The DOE study consisted of two distinct tasks : (1) perform DOE-2 simulations for the prototypical buildings and develop methods to extract the heating and cooling loads attributable to the different building components; and (2) estimate the number of buildings or floor area represented by each prototypical building based on EIA survey information. These building stock data were then multiplied by the simulated component loads to derive aggregated totals by region, vintage, and building type. The heating and cooling energy consumption of the national building stock estimated by this bottom-up engineering approach was found to agree reasonably well with estimates from other sources, although significant differences were found for certain end-uses. The main added value from this study, however, is the insight it provides about the contributing factors behind this energy consumption, and what energy savings can be expected from efficiency improvements for different building components by region, vintage, and building type.

  8. Assessment of Historic Trend in Mobility and Energy Use in India Transportation Sector Using Bottom-up Approach

    SciTech Connect (OSTI)

    Zhou, Nan; McNeil, Michael A.

    2009-05-01T23:59:59.000Z

    Transportation mobility in India has increased significantly in the past decades. From 1970 to 2000, motorized mobility (passenger-km) has risen by 888%, compared with an 88% population growth (Singh,2006). This contributed to many energy and environmental issues, and an energy strategy incorporates efficiency improvement and other measures needs to be designed. Unfortunately, existing energy data do not provide information on driving forces behind energy use and sometime show large inconsistencies. Many previous studies address only a single transportation mode such as passenger road travel; did not include comprehensive data collection or analysis has yet been done, or lack detail on energy demand by each mode and fuel mix. The current study will fill a considerable gap in current efforts, develop a data base on all transport modes including passenger air and water, and freight in order to facilitate the development of energy scenarios and assess significance of technology potential in a global climate change model. An extensive literature review and data collection has been done to establish the database with breakdown of mobility, intensity, distance, and fuel mix of all transportation modes. Energy consumption was estimated and compared with aggregated transport consumption reported in IEA India transportation energy data. Different scenarios were estimated based on different assumptions on freight road mobility. Based on the bottom-up analysis, we estimated that the energy consumption from 1990 to 2000 increased at an annual growth rate of 7% for the mid-range road freight growth case and 12% for the high road freight growth case corresponding to the scenarios in mobility, while the IEA data only shows a 1.7% growth rate in those years.

  9. Representing energy technologies in top-down economic models using bottom-up information

    E-Print Network [OSTI]

    example (e.g., a 500 megawatt coal fired power plant, or a 1-MW wind turbine). The technologies production may be treated as a single sector with capital, labor, material, and fuel inputs. Continuous

  10. An integrated top-down and bottom-up proteomic approach to characterize the antigen binding fragment of antibodies

    SciTech Connect (OSTI)

    Dekker, Leendert J.; Wu, Si; vanDuijn, Martijn M.; Tolic, Nikola; Stingl, Christoph; Zhao, Rui; Luider, Theo N.; Pasa-Tolic, Ljiljana

    2014-05-31T23:59:59.000Z

    We have previously shown that different individuals exposed to the same antigen produce antibodies with identical mutations in their complementarity determining regions (CDR), suggesting that CDR tryptic peptides can serve as biomarkers for disease diagnosis and prognosis. Complete Fabs derived from disease specific antibodies have even higher potential; they could potentially be used for disease treatment and are required to identify the antigens towards which the antibodies are directed. However, complete Fab sequence characterization via LC-MS analysis of tryptic peptides (i.e. bottom-up) has proven to be impractical for mixtures of antibodies. To tackle this challenge, we have developed an integrated bottom-up and top-down MS approach, employing 2D chromatography coupled with Fourier transform mass spectrometry (FTMS), and applied this approach for full characterization of the variable parts of two pharmaceutical monoclonal antibodies with sensitivity comparable to the bottom-up standard. These efforts represent an essential step towards the identification of disease specific antibodies in patient samples with potentially significant clinical impact.

  11. Benchmarking Non-Hardware Balance-of-System (Soft) Costs for U.S. Photovoltaic Systems, Using a Bottom-Up Approach and Installer Survey - Second Edition

    SciTech Connect (OSTI)

    Friedman, B.; Ardani, K.; Feldman, D.; Citron, R.; Margolis, R.; Zuboy, J.

    2013-10-01T23:59:59.000Z

    This report presents results from the second U.S. Department of Energy (DOE) sponsored, bottom-up data-collection and analysis of non-hardware balance-of-system costs -- often referred to as 'business process' or 'soft' costs -- for U.S. residential and commercial photovoltaic (PV) systems. In service to DOE's SunShot Initiative, annual expenditure and labor-hour-productivity data are analyzed to benchmark 2012 soft costs related to (1) customer acquisition and system design (2) permitting, inspection, and interconnection (PII). We also include an in-depth analysis of costs related to financing, overhead, and profit. Soft costs are both a major challenge and a major opportunity for reducing PV system prices and stimulating SunShot-level PV deployment in the United States. The data and analysis in this series of benchmarking reports are a step toward the more detailed understanding of PV soft costs required to track and accelerate these price reductions.

  12. Use of Building Automation System Trend Data for Inputs Generation in Bottom-Up Simulation Calibration

    E-Print Network [OSTI]

    Zibin, N. F.; Zmeureanu, R. G.; Love, J. A.

    2013-01-01T23:59:59.000Z

    for analysis and use in simulation is very large. This paper explores automating the process of generating inputs from Building Automation System (BAS) trend data for use in building simulation software. A proof-of-concept prototype called the Automatic...

  13. A Bottom-Up Cost Analysis of a High Concentration PV Module ...

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

    France 13-15 April 2015 2 Analysis Disclaimer DISCLAIMER AGREEMENT These manufacturing cost model results ("Data") are provided by the National Renewable Energy Laboratory...

  14. Top-Down, Bottom-Up, or Both? Toward an Integrative Perspective on Operations Strategy Formation

    E-Print Network [OSTI]

    Kim, Yoon Hee; Sting, Fabian J.; Loch, Christopher H.

    2014-09-16T23:59:59.000Z

    and process ? Car components: axles, gearboxes, shaft drives ? Metalworking and assembly ? Power controllers (electrical and electronics) for machine tools ? Engineering and assembly ? SME, two manager-owners ? Medical kits for ambulances... . MEDICAL is a family-owned firm—a “small or medium-sized enterprise” (SME)—that develops and manufactures medical devices for ambulances and homes; it has a total of some 800 employees. The heads of manufacturing and technology and of sales are members...

  15. [Re]constructing Finite Flavour Groups: Horizontal Symmetry Scans from the Bottom-Up

    E-Print Network [OSTI]

    Jim Talbert

    2015-01-07T23:59:59.000Z

    We present a novel procedure for identifying discrete, leptonic flavour symmetries, given a class of unitary mixing matrices. By creating explicit 3D representations for generators of residual symmetries in both the charged lepton and neutrino sector, we reconstruct large(r) non-abelian flavour groups using the GAP language for computational finite algebra. We use experimental data to construct only those generators that yield acceptable (or preferable) mixing patterns. Such an approach is advantageous because it 1) can reproduce known groups from other 'top-down' scans while elucidating their origins from residuals, 2) find new previously unconsidered groups, and 3) serve as a powerful model building tool for theorists wishing to explore exotic flavour scenarios. We test our procedure on a generalization of the canonical tri-bimaximal (TBM) form.

  16. Bottom-up, decision support system development : a wetlandsalinity management application in California's San Joaquin Valley

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.

    2006-05-10T23:59:59.000Z

    Seasonally managed wetlands in the Grasslands Basin ofCalifornia's San Joaquin Valley provide food and shelter for migratorywildfowl during winter months and sport for waterfowl hunters during theannual duck season. Surface water supply to these wetland contain saltwhich, when drained to the San Joaquin River during the annual drawdownperiod, negatively impacts downstream agricultural riparian waterdiverters. Recent environmental regulation, limiting discharges salinityto the San Joaquin River and primarily targeting agricultural non-pointsources, now addresses return flows from seasonally managed wetlands.Real-time water quality management has been advocated as a means ofmatching wetland return flows to the assimilative capacity of the SanJoaquin River. Past attempts to build environmental monitoring anddecision support systems to implement this concept have failed forreasons that are discussed in this paper. These reasons are discussed inthe context of more general challenges facing the successfulimplementation of environmental monitoring, modelling and decisionsupport systems. The paper then provides details of a current researchand development project which will ultimately provide wetland managerswith the means of matching salt exports with the available assimilativecapacity of the San Joaquin River, when fully implemented. Manipulationof the traditional wetland drawdown comes at a potential cost to thesustainability of optimal wetland moist soil plant habitat in thesewetlands - hence the project provides appropriate data and a feedback andresponse mechanism for wetland managers to balance improvements to SanJoaquin River quality with internally-generated information on the healthof the wetland resource. The author concludes the paper by arguing thatthe architecture of the current project decision support system, whencoupled with recent advances in environmental data acquisition, dataprocessing and information dissemination technology, holds significantpromise to address some of the problems described earlier in the paperthat have limited past efforts to improve Basin water qualitymanagement.

  17. China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01T23:59:59.000Z

    Development Plan for Renewable Energy in China. Availabledevelopment-plan-for-renewable-energy.pdf Tu, J. , Jaccard,further expansion of renewable and nuclear power capacity.

  18. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    10 References Anonymous. 1994. Cement Plant Modernization inCentral Europe, World Cement (November): 35-38 Bösche, A.Variable Speed Drives in Cement Plants, World Cement 6 24

  19. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    system that runs a steam turbine system (bottom cycle).This report focuses on the steam turbine system since these

  20. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    Technology Support Unit (ETSU), 1988. “High Level Control ofCircle Industries and SIRA (ETSU, 1988). The LINKman system

  1. China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01T23:59:59.000Z

    Implications for Chinese energy demand and imports in 2020.for China to reduce energy demand and emissions. Thisand physical drivers of energy demand and thereby help

  2. Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images

    E-Print Network [OSTI]

    curves usually introduce high computational loads, and techniques must be used to ensure that no pixels to solve PDEs. The computa- tional load of curve evolution is thus greatly reduced. The proposed m@ece.utk.edu Abstract Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad

  3. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    energy-efficiency technology costs and improvementon behavioral responses, technology costs, energy savings,is to characterize technology costs and potentials for

  4. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    use of the wastes (e.g. incineration with or without energyefficiency of use (e.g. incineration with or without heat

  5. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    d) heat recovery for cogeneration (d) conversion to dryd) heat recovery for cogeneration (d) conversion from dry tod) heat recovery for cogeneration (d) conversion from dry to

  6. Modeling and Validation of Pipeline Specifications

    E-Print Network [OSTI]

    Mishra, Prabhat

    -on-Chip design process. Many existing approaches employ a bottom-up approach to pipeline validation, where description language (ADL) constructs, and thus allows a powerful top-down approach to pipeline validationModeling and Validation of Pipeline Specifications PRABHAT MISHRA and NIKIL DUTT University

  7. Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS

    E-Print Network [OSTI]

    Roop, J. M.; Dahowski, R. T

    Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model...

  8. Process Modeling for Process Improvement A Process Conformance Approach

    E-Print Network [OSTI]

    Process Modeling for Process Improvement - A Process Conformance Approach Sigurd Thunem September processes. In order to improve these processes, knowledge about them is necessary. To support process improve- ment the organization should collect process data, transform process data into knowledge

  9. Automatic Modeling and Validation of Pipeline Specifications driven by an Architecture Description Language

    E-Print Network [OSTI]

    Mishra, Prabhat

    ) design process. Many existing approaches employ a bottom-up approach to pipeline validation, where about the behavior of the pipelined ar- chitecture through ADL constructs, which allows a powerful topAutomatic Modeling and Validation of Pipeline Specifications driven by an Architecture Description

  10. 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

  11. Bottom-Up Strategic Planning

    E-Print Network [OSTI]

    Williams, Jeff; Dearie, Tammy; Schottlaender, Brian E.C.

    2013-01-01T23:59:59.000Z

    and every Libraries staff classification. The Working Groupone additional Libraries staff member of any classification.

  12. 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.

  13. Integrated Process Model Development and Systems Analyses for the LIFE Power Plant

    SciTech Connect (OSTI)

    Meier, W R; Anklam, T; Abbott, R; Erlandson, A; Halsey, W; Miles, R; Simon, A J

    2009-07-15T23:59:59.000Z

    We have developed an integrated process model (IPM) for a Laser Inertial Fusion-Fission Energy (LIFE) power plant. The model includes cost and performance algorithms for the major subsystems of the plant, including the laser, fusion target fabrication and injection, fusion-fission chamber (including the tritium and fission fuel blankets), heat transfer and power conversion systems, and other balance of plant systems. The model has been developed in Visual Basic with an Excel spreadsheet user interface in order to allow experts in various aspects of the design to easily integrate their individual modules and provide a convenient, widely accessible platform for conducting the system studies. Subsystem modules vary in level of complexity; some are based on top-down scaling from fission power plant costs (for example, electric plant equipment), while others are bottom-up models based on conceptual designs being developed by LLNL (for example, the fusion-fission chamber and laser systems). The IPM is being used to evaluate design trade-offs, do design optimization, and conduct sensitivity analyses to identify high-leverage areas for R&D. We describe key aspects of the IPM and report on the results of our systems analyses. Designs are compared and evaluated as a function of key design variables such as fusion target yield and pulse repetition rate.

  14. Community Ecology Processes, Models,

    E-Print Network [OSTI]

    Kleyer, Michael

    3 Modelling the dynamics of complex food webs 37 Ulrich Brose and Jennifer A. Dunne 3.1 Introduction

  15. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    in hybrid vehicles and hydrogen fuel cell vehicles are notlower production cost. Hydrogen fuel cell vehicles (FCVs) doC.DHEV C.DSL C.ETHX Fuel Cell - Hydrogen C.FCH Conventional

  16. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    or 74% of the rolling sludges and oils (1.68 PJ). Bethlehemassuming 7.5% in oil recovery sludges and 90% in oils,Europe. Along with the oil recovery sludges, there are also

  17. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    leg/leginx.asp 4. EIA Annual Energy Outlook 2007 with22, (4), 10. EIA Annual Energy Outlook 2006 with Projectionsto the Annual Energy Outlook 2007. Transportation Demand

  18. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    is sensitive to the cost of fuel cell technology, oil price,lower production cost. Hydrogen fuel cell vehicles (FCVs) do

  19. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    vehicles: The case of natural gas vehicles. Energy PolicyCNG: dedicated natural gas vehicles; LPG: liquefiedvehicles using low- GHG fuels such as compressed natural gas,

  20. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    Delhi, India, 2007. (16) EIA. Emissions of Greenhouse Gasesglobalwarming/leg/leginx.asp 4. EIA Annual Energy Outlookto 2030. Report #DOE/EIA-0383(2007); Energy Information

  1. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the U.S. Pulp and Paper Sector

    E-Print Network [OSTI]

    Xu, Tengfang

    2014-01-01T23:59:59.000Z

    Sixth Annual Industrial Energy Technology Conference, VolumeBNL). 2001. The Energy Technology Systems AnalysisKramer Environmental Energy Technologies Division July 2012

  2. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    2005; Energy Information Administration, U.S. Department of0383(2007); Energy Information Administration: 2007. http://0383(2006); Energy Information Administration: Washington,

  3. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    Maintenance Energy monitoring and management systemMaintenance Energy monitoring and management system AppliedMaintenance Energy monitoring and management system

  4. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    1994) at $2.8/t. Automated monitoring and targeting system.an automated monitoring and targeting system at a cold stripComputer-based Monitoring and Targeting on a Rolling Mill,”

  5. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    International 6(1): 19-29. ETSU, 1992. “Reduction of CostsProfile 33, Harwell, UK: ETSU Farla, J.C.M. , E. Worrell, L.sites (Farla et al. , 1998; ETSU, 1992). We estimate the

  6. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    around 8-9% for good coking coal (IISI, 1982). Dryingof steam coal and coking coal to be $15/t (IEA, 1995). This

  7. Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model

    E-Print Network [OSTI]

    Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

    2008-01-01T23:59:59.000Z

    GHG fuels such as compressed natural gas, low-GHG ethanol,LPG) Methane Compressed natural gas (CNG) Ethanol production

  8. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    Improved Product Quality,” Ironmaking and Steel making 18(pound Investment,” Ironmaking and Steel making,” Anonymous,Oil Through Sintering," Ironmaking and Steel making Dawson,

  9. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    We assume minimal investment costs for good housekeeping0.002 GJ/t sinter. No investment costs are assumed for this1990). We assume an investment cost of $0.3/t hot metal, to

  10. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    E-Print Network [OSTI]

    Xu, T.T.

    2011-01-01T23:59:59.000Z

    Assessment of Electric Steel making Through the Year 2000,by Injection Technology” Steel Times, October 1994 pp.391-Hanes, C. , 1999. USS/Kobe Steel, Personal communication,

  11. Modeling of ultrasonic processing

    E-Print Network [OSTI]

    Zhao, Wenguang, S.M. Massachusetts Institute of Technology

    2005-01-01T23:59:59.000Z

    This paper presents a finite element analysis (FEA) of ultrasonic processing of an aerospace-grade carbon-epoxy composite laminate. An ultrasonic (approximately 30 kHz) loading horn is applied to a small region at the ...

  12. Documenting Organizational Process Flow Modeling

    E-Print Network [OSTI]

    Schweik, Charles M.

    1 Documenting Organizational Processes or Process Flow Modeling Analysis Phase ­ Three Steps that describes (1) the current, and (2) the future structure of an organizational process ·"Natural language ­ An overview of an organizational system showing · system boundaries, · external entities that interact

  13. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

    World Energy Outlook (IEA 2008), the bottom up models supporting IPCC “economic mitigation potentials” (IPCC 2007), the buildings chapter of the US assessment

  14. 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.

  15. Computational modeling of materials processing and processes

    SciTech Connect (OSTI)

    Lowe, T.C.; Zhu, Yuntian; Bingert, J.F. [and others

    1998-12-31T23:59:59.000Z

    This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). Anisotropic mechanical properties of densified BSCCO powders are of paramount importance during thermo-mechanical processing of superconducting tapes and wires. Maximum current transport requires high relative density and a high degree of alignment of the single crystal planes of the BSCCO. Unfortunately this configuration causes high stresses that can lead to cracking, and thus reduce the density, and the conductive properties of the tape. The current work develops a micromechanical material mode to model is calibrated and compared to experimental results, and then employed to analyze the effects of initial texture and confinement pressure and shear strains in the core of oxide powder-in-tube (OPIT) processed tapes are calculated by finite-element analysis. The calculated deformations were then applied as boundary conditions to the micromechanical model. Our calculated results were used to interpret a set of prototypical rolling experiments. 11 refs., 5 figs.

  16. Using Process Modeling for Process Understanding Dewayne E. Perry

    E-Print Network [OSTI]

    Perry, Dewayne E.

    Using Process Modeling for Process Understanding Dewayne E. Perry Systems and Software Research to improving processes is first understanding them. I report here a case study in process understanding using the process modeling language Interact. I illustrate both the language and the process iteratively, somewhat

  17. Updatable Process Views for Adapting Large Process Models

    E-Print Network [OSTI]

    Ulm, Universität

    Updatable Process Views for Adapting Large Process Models: The proView Demonstrator Jens Kolb. The increasing adoption of process-aware information sys- tems (PAISs) has resulted in large process model collections. To support users having different perspectives on these processes and related data, a PAIS should

  18. Business Process Modeling for developing Process Oriented IT Systems Track: Business Process Management Tools and Technologies

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Business Process Modeling for developing Process Oriented IT Systems Track: Business Process should be like. Therefore, business process modeling becomes a pre-requisite for system requirements, the paradigm of Business Process Management contrasts with traditional information system development, which

  19. Modelling and Control of Activated Sludge Processes

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Modelling and Control of Activated Sludge Processes Michela Mulas Dottorato di Ricerca of Activated Sludge Processes Michela Mulas Supervisors: Prof. Roberto Baratti Ing. Stefania Tronci Dottorato . . . . . . . . . . . . . . . . . . . . . . . . . 5 2 ASP Models and Simulations 7 2.1 The Activated Sludge Process

  20. Lightweight Process Modeling for Virtual Enterprise Process Collaboration

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Lightweight Process Modeling for Virtual Enterprise Process Collaboration Lai Xu1 , Paul de Vrieze1 of mashups are often more data related than process related. In this paper, we explore the differences between data-oriented mashups and process-oriented enterprise mashups and consider how process mashups can

  1. Towards a Security Engineering Process Model for Electronic Business Processes

    E-Print Network [OSTI]

    Eichler, Jörn

    2012-01-01T23:59:59.000Z

    Business process management (BPM) and accompanying systems aim at enabling enterprises to become adaptive. In spite of the dependency of enterprises on secure business processes, BPM languages and techniques provide only little support for security. Several complementary approaches have been proposed for security in the domain of BPM. Nevertheless, support for a systematic procedure for the development of secure electronic business processes is still missing. In this paper, we pinpoint the need for a security engineering process model in the domain of BPM and identify key requirements for such process model.

  2. BUSINESS PROCESS MODELING WITH UML Nuno Castela

    E-Print Network [OSTI]

    BUSINESS PROCESS MODELING WITH UML Nuno Castela Escola Superior de Tecnologia de Castelo Branco@est.ipcb.pt Key words: Modeling, Business processes, UML Abstract: This paper focuses the reasons and advantages and description of the methodology to apply business modeling is made, namely, the organization of the modeling

  3. Cupola Furnace Computer Process Model

    SciTech Connect (OSTI)

    Seymour Katz

    2004-12-31T23:59:59.000Z

    The cupola furnace generates more than 50% of the liquid iron used to produce the 9+ million tons of castings annually. The cupola converts iron and steel into cast iron. The main advantages of the cupola furnace are lower energy costs than those of competing furnaces (electric) and the ability to melt less expensive metallic scrap than the competing furnaces. However the chemical and physical processes that take place in the cupola furnace are highly complex making it difficult to operate the furnace in optimal fashion. The results are low energy efficiency and poor recovery of important and expensive alloy elements due to oxidation. Between 1990 and 2004 under the auspices of the Department of Energy, the American Foundry Society and General Motors Corp. a computer simulation of the cupola furnace was developed that accurately describes the complex behavior of the furnace. When provided with the furnace input conditions the model provides accurate values of the output conditions in a matter of seconds. It also provides key diagnostics. Using clues from the diagnostics a trained specialist can infer changes in the operation that will move the system toward higher efficiency. Repeating the process in an iterative fashion leads to near optimum operating conditions with just a few iterations. More advanced uses of the program have been examined. The program is currently being combined with an ''Expert System'' to permit optimization in real time. The program has been combined with ''neural network'' programs to affect very easy scanning of a wide range of furnace operation. Rudimentary efforts were successfully made to operate the furnace using a computer. References to these more advanced systems will be found in the ''Cupola Handbook''. Chapter 27, American Foundry Society, Des Plaines, IL (1999).

  4. APPLYING BUSINESS PROCESS MODELING TO ORGANIZATIONAL CHANGE

    E-Print Network [OSTI]

    1 APPLYING BUSINESS PROCESS MODELING TO ORGANIZATIONAL CHANGE Ricardo Mendes, João Mateus, Eduardo.mendes}@ceo.inesc.pt {jgm ,ejms}@mega.ist.utl.pt {jose.tribolet}@ceo.inesc.pt Abstract Organizational change can be regarded Modeling, Organizational Change, UML, Process Re-engineering, Process Improvement, Business Strategy

  5. Evergreening Peer Review Business Process Modeling (BPM)

    E-Print Network [OSTI]

    Rau, Don C.

    Evergreening Peer Review Business Process Modeling (BPM) On behalf of the Peer Review Subject of the BPM process undertaken to model the current business process of peer review from the perspective. Sheryl K. Brining, Ph.D. Michael Rennolds Paul Sheehy, Ph.D. #12;Peer Review BPM White Paper-Dec1_FINAL

  6. A Statistical Model to Assess Indirect CO2 Emissions of the UAE Residential Sector 

    E-Print Network [OSTI]

    Radhi, H.; Fikry, F.

    2010-01-01T23:59:59.000Z

    This study presents a regional bottom-up model for assessing space cooling energy and related greenhouse gas emissions. The model was developed with the aim of improving the quality and quantity of cooling energy and emission data, especially...

  7. Modeling of Geothermal Reservoirs: Fundamental Processes, Computer...

    Open Energy Info (EERE)

    Reservoirs: Fundamental Processes, Computer Simulation and Field Applications Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Modeling of...

  8. Panel - Generic Longitudinal Business Process Model

    E-Print Network [OSTI]

    Barkow, Ingo; Block, William C.; Greenfield, Jay; Hebing, Marcel; Hoyle, Larry; Thomas, Wendy

    2013-04-03T23:59:59.000Z

    This presentation described a model for the processes involved in a longitudinal study. The model was developed at a symposium-style workshop held at Dagstuhl in September of 2011 (http://www.dagstuhl.de/11382). The Generic Longitudinal Business...

  9. Modeling Business Objectives for Business Process Management

    E-Print Network [OSTI]

    Ulm, Universität

    Modeling Business Objectives for Business Process Management Matthias Lohrmann and Manfred Reichert quality, business objective models assume the role of formal requirements definitions as in software engi a refined business objective modeling approach. Our approach builds on use case-based effectiveness criteria

  10. Modelling and Dynamic Simulation for Process Control

    E-Print Network [OSTI]

    Skogestad, Sigurd

    principles for model development are outlined, and these principles are applied to a simple ash tank (which. In this paper we consider dynamic process models obtained using fundamental principles (eg. based reactor, a simple trend analysis using temperature measurements may be suÆcient. Dynamic models

  11. Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook

    E-Print Network [OSTI]

    Zheng, Nina

    2010-01-01T23:59:59.000Z

    International Energy Agency (IEA). 2009. World EnergyChina-specific section of the IEA World Energy Outlook 2009.while LBNL, McKinsey and IEA all employed bottom-up modeling

  12. Modelling Urban scale Retrofit, Pathways to 2050 Low Carbon Residential Building Stock 

    E-Print Network [OSTI]

    Lannon, Simon; Georgakaki, Aliki; Macdonald, Stuart

    A bottom up engineering modelling approach has been used to investigate the pathways to 2050 low carbon residential building stock. The impact of housing retrofit, renewable technologies, occupant behaviour, and grid decarbonisation is measured at a...

  13. Exploring chaos to model the design process

    E-Print Network [OSTI]

    Sharkawy, Ahmed

    1990-01-01T23:59:59.000Z

    of design as a sequence of three rational processes (14) 10 Jansson's tsvo space model (15) 4 The different types of constraints within the design process The major processes occuring in Jansson's concept space. 19 6 Figure 6a depicts the skeleton upon... model and how it fits within March's depiction 9 Reduced two variable model and how it fits within Jansson's scheme . . 45 10 Map of case: 3=2. 0, /=50, d=0. 15 47 11 Map of case: %=2. 2, y=50, d=0. 15 48 12 Map of' case: 4=2. 6, @=50, d=0. 15 49...

  14. Exploring chaos to model the design process 

    E-Print Network [OSTI]

    Sharkawy, Ahmed

    1990-01-01T23:59:59.000Z

    of design as a sequence of three rational processes (14) 10 Jansson's tsvo space model (15) 4 The different types of constraints within the design process The major processes occuring in Jansson's concept space. 19 6 Figure 6a depicts the skeleton upon... model and how it fits within March's depiction 9 Reduced two variable model and how it fits within Jansson's scheme . . 45 10 Map of case: 3=2. 0, /=50, d=0. 15 47 11 Map of case: %=2. 2, y=50, d=0. 15 48 12 Map of' case: 4=2. 6, @=50, d=0. 15 49...

  15. Process-Based Cost Modeling to Support Target Value Design

    E-Print Network [OSTI]

    Nguyen, Hung Viet

    2010-01-01T23:59:59.000Z

    Costing as a Tool for Process Improvement Evaluation. ”A. (2005). “Determination of Process Durations on VirtualR.G. (1987). “Cost Modeling: a Process-Modeling Approach”.

  16. SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING

    E-Print Network [OSTI]

    SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING Nuno Castela Escola, Business Processes, Informational Resources, Activities, UML Abstract: Business processes modeling became a fundamental task for organizations. To model business processes is necessary to know all the activities

  17. 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

  18. Hydrothermal processing of Hanford tank wastes: Process modeling and control

    SciTech Connect (OSTI)

    Currier, R.P. [comp.

    1994-10-01T23:59:59.000Z

    In the Los Alamos National Laboratory (LANL) hydrothermal process, waste streams are first pressurized and heated as they pass through a continuous flow tubular reactor vessel. The waste is maintained at reaction temperature of 300--550 C where organic destruction and sludge reformation occur. This report documents LANL activities in process modeling and control undertaken in FY94 to support hydrothermal process development. Key issues discussed include non-ideal flow patterns (e.g. axial dispersion) and their effect on reactor performance, the use and interpretation of inert tracer experiments, and the use of computational fluid mechanics to evaluate novel hydrothermal reactor designs. In addition, the effects of axial dispersion (and simplifications to rate expressions) on the estimated kinetic parameters are explored by non-linear regression to experimental data. Safety-related calculations are reported which estimate the explosion limits of effluent gases and the fate of hydrogen as it passes through the reactor. Development and numerical solution of a generalized one-dimensional mathematical model is also summarized. The difficulties encountered in using commercially available software to correlate the behavior of high temperature, high pressure aqueous electrolyte mixtures are summarized. Finally, details of the control system and experiments conducted to empirically determine the system response are reported.

  19. A Signal Processing Model of Quantum Mechanics

    E-Print Network [OSTI]

    Chris Thron; Johnny Watts

    2012-05-08T23:59:59.000Z

    This paper develops a deterministic model of quantum mechanics as an accumulation-and-threshold process. The model arises from an analogy with signal processing in wireless communications. Complex wavefunctions are interpreted as expressing the amplitude and phase information of a modulated carrier wave. Particle transmission events are modeled as the outcome of a process of signal accumulation that occurs in an extra (non-spacetime) dimension. Besides giving a natural interpretation of the wavefunction and the Born rule, the model accommodates the collapse of the wave packet and other quantum paradoxes such as EPR and the Ahanorov-Bohm effect. The model also gives a new perspective on the 'relational' nature of quantum mechanics: that is, whether the wave function of a physical system is "real" or simply reflects the observer's partial knowledge of the system. We simulate the model for a 2-slit experiment, and indicate possible deviations of the model's predictions from conventional quantum mechanics. We also indicate how the theory may be extended to a field theory.

  20. A Process Model of Quantum Mechanics

    E-Print Network [OSTI]

    William Sulis

    2014-04-21T23:59:59.000Z

    A process model of quantum mechanics utilizes a combinatorial game to generate a discrete and finite causal space upon which can be defined a self-consistent quantum mechanics. An emergent space-time M and continuous wave function arise through a non-uniform interpolation process. Standard non-relativistic quantum mechanics emerges under the limit of infinite information (the causal space grows to infinity) and infinitesimal scale (the separation between points goes to zero). The model has the potential to address several paradoxes in quantum mechanics while remaining computationally powerful.

  1. Attrition and abrasion models for oil shale process modeling

    SciTech Connect (OSTI)

    Aldis, D.F.

    1991-10-25T23:59:59.000Z

    As oil shale is processed, fine particles, much smaller than the original shale are created. This process is called attrition or more accurately abrasion. In this paper, models of abrasion are presented for oil shale being processed in several unit operations. Two of these unit operations, a fluidized bed and a lift pipe are used in the Lawrence Livermore National Laboratory Hot-Recycle-Solid (HRS) process being developed for the above ground processing of oil shale. In two reports, studies were conducted on the attrition of oil shale in unit operations which are used in the HRS process. Carley reported results for attrition in a lift pipe for oil shale which had been pre-processed either by retorting or by retorting then burning. The second paper, by Taylor and Beavers, reported results for a fluidized bed processing of oil shale. Taylor and Beavers studied raw, retorted, and shale which had been retorted and then burned. In this paper, empirical models are derived, from the experimental studies conducted on oil shale for the process occurring in the HRS process. The derived models are presented along with comparisons with experimental results.

  2. Supporting Flexible Business Processes with a Progression Model

    E-Print Network [OSTI]

    Schneider, Kevin A.

    Supporting Flexible Business Processes with a Progression Model Nicole Stavness Department with information systems to contend with changing business processes, and to support diverse workflow. Model that support flexible business processes. The progression model tracks a user's interaction when using

  3. Modeling the Process of Mining Silicon Through a Single Displacement...

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

    Modeling the Process of Mining Silicon Through a Single DisplacementRedox Reaction Modeling the Process of Mining Silicon Through a Single DisplacementRedox Reaction Below is...

  4. Evaluation of Generic EBS Design Concepts and Process Models...

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

    Generic EBS Design Concepts and Process Models Implications to EBS Design Optimization Evaluation of Generic EBS Design Concepts and Process Models Implications to EBS Design...

  5. Hot blast stove process model and model-based controller

    SciTech Connect (OSTI)

    Muske, K.R. [Villanova Univ., PA (United States). Dept. of Chemical Engineering; Howse, J.W.; Hansen, G.A.; Cagliostro, D.J. [Los Alamos National Lab., NM (United States). Computational Science Methods Group; Chaubal, P.C. [Inland Steel Industries, Inc., East Chicago, IN (United States). Research Labs.

    1998-12-31T23:59:59.000Z

    This paper describes the process model and model-based control techniques implemented on the hot blast stoves for the No. 7 Blast Furnace at the Inland Steel facility in East Chicago, Indiana. A detailed heat transfer model of the stoves is developed and verified using plant data. This model is used as part of a predictive control scheme to determine the minimum amount of fuel necessary to achieve the blast air requirements. The model is also used to predict maximum and minimum temperature constraint violations within the stove so that the controller can take corrective actions while still achieving the required stove performance.

  6. Iron and steel industry process model

    SciTech Connect (OSTI)

    Sparrow, F.T.; Pilati, D.; Dougherty, T.; McBreen, E.; Juang, L.L.

    1980-01-01T23:59:59.000Z

    The iron and steel industry process model depicts expected energy-consumption characteristics of the iron and steel industry and ancillary industries for the next 25 years by means of a process model of the major steps in steelmaking, from ore mining and scrap recycling to the final finishing of carbon, alloy, and stainless steel into steel products such as structural steel, slabs, plates, tubes, and bars. Two plant types are modeled: fully integrated mills and mini-mills. User-determined inputs into the model are as follows: projected energy and materials prices; projected costs of capacity expansion and replacement; energy-conserving options, both operating modes and investments; the internal rate of return required on investment; and projected demand for finished steel. Nominal input choices in the model for the inputs listed above are as follows: National Academy of Sciences Committee on Nuclear and Alternative Energy Systems Demand Panel nominal energy-price projections for oil, gas, distillates, residuals, and electricity and 1975 actual prices for materials; actual 1975 costs; new technologies added; 15% after taxes; and 1975 actual demand with 1.5%/y growth. The model reproduces the base-year (1975) actual performance of the industry; then, given the above nominal input choices, it projects modes of operation and capacity expansion that minimize the cost of meeting the given final demands for each of 5 years, each year being the midpoint of a 5-year interval. The output of the model includes the following: total energy use and intensity (Btu/ton) by type, by process, and by time period; energy conservation options chosen; utilization rates for existing capacity; capital-investment decisions for capacity expansion.

  7. Development of a comprehensive weld process model

    SciTech Connect (OSTI)

    Radhakrishnan, B.; Zacharia, T.; Paul, A.

    1997-05-01T23:59:59.000Z

    This cooperative research and development agreement (CRADA) between Concurrent Technologies Corporation (CTC) and Lockheed Martin Energy Systems (LMES) combines CTC`s expertise in the welding area and that of LMES to develop computer models and simulation software for welding processes. This development is of significant impact to the industry, including materials producers and fabricators. The main thrust of the research effort was to develop a comprehensive welding simulation methodology. A substantial amount of work has been done by several researchers to numerically model several welding processes. The primary drawback of most of the existing models is the lack of sound linkages between the mechanistic aspects (e.g., heat transfer, fluid flow, and residual stress) and the metallurgical aspects (e.g., microstructure development and control). A comprehensive numerical model which can be used to elucidate the effect of welding parameters/conditions on the temperature distribution, weld pool shape and size, solidification behavior, and microstructure development, as well as stresses and distortion, does not exist. It was therefore imperative to develop a comprehensive model which would predict all of the above phenomena during welding. The CRADA built upon an already existing three-dimensional (3-D) welding simulation model which was developed by LMES which is capable of predicting weld pool shape and the temperature history in 3-d single-pass welds. However, the model does not account for multipass welds, microstructural evolution, distortion and residual stresses. Additionally, the model requires large resources of computing time, which limits its use for practical applications. To overcome this, CTC and LMES have developed through this CRADA the comprehensive welding simulation model described above.

  8. Business Process Modeling and Agility Nancy Alexopoulou1

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    Business Process Modeling and Agility Nancy Alexopoulou1 Abstract. The objective of this thesis was to investigate business process agility and develop modeling approaches that ensure agility in business process-driven business process modeling approach that promotes agility in business process execution. This approach

  9. Configurable Process Models: Experiences from a Municipality Case Study

    E-Print Network [OSTI]

    van der Aalst, Wil

    Configurable Process Models: Experiences from a Municipality Case Study Florian Gottschalk1 , Teun.larosa@qut.edu.au Abstract. Configurable process models integrate different variants of a business process into a single model. Through configuration users of such models can then combine the variants to derive a process

  10. Museum: Multidimensional web page segment evaluation model

    E-Print Network [OSTI]

    Kuppusamy, K S

    2012-01-01T23:59:59.000Z

    The evaluation of a web page with respect to a query is a vital task in the web information retrieval domain. This paper proposes the evaluation of a web page as a bottom-up process from the segment level to the page level. A model for evaluating the relevancy is proposed incorporating six different dimensions. An algorithm for evaluating the segments of a web page, using the above mentioned six dimensions is proposed. The benefits of fine-granining the evaluation process to the segment level instead of the page level are explored. The proposed model can be incorporated for various tasks like web page personalization, result re-ranking, mobile device page rendering etc.

  11. Multiscale modeling of spatially variable water and energy balance processes

    E-Print Network [OSTI]

    Famiglietti, J. S; Wood, E. F

    1994-01-01T23:59:59.000Z

    MULTISCALE WATER AND ENERGY BALANCE MODELING Wood, E. F. ,spatially variable water and energy balance processes J. S.modeling. Water and energy balance models are developed at

  12. Process models Process in science is a natural phenomenon made up

    E-Print Network [OSTI]

    Johnson, Edward A.

    Process models Process in science is a natural phenomenon made up of a series of operations often scaled so as to preserve certain process(es) that occur in the real-world analog. Conceptual models are just narrative or visual descriptions of forms, process(es), and/or their interactions

  13. Thermal Modeling of A Friction Bonding Process

    SciTech Connect (OSTI)

    John Dixon; Douglas Burkes; Pavel Medvedev

    2007-10-01T23:59:59.000Z

    A COMSOL model capable of predicting temperature evolution during nuclear fuel fabrication is being developed at the Idaho National Laboratory (INL). Fuel plates are fabricated by friction bonding (FB) uranium-molybdenum (U-Mo) alloy foils positioned between two aluminum plates. The ability to predict temperature distribution during fabrication is imperative to ensure good quality bonding without inducing an undesirable chemical reaction between U-Mo and aluminum. A three-dimensional heat transfer model of the FB process implementing shallow pin penetration for cladding monolithic nuclear fuel foils is presented. Temperature distribution during the FB process as a function of fabrication parameters such as weld speed, tool load, and tool rotational frequency are predicted. Model assumptions, settings, and equations are described in relation to standard friction stir welding. Current experimental design for validation and calibration of the model is also demonstrated. Resulting experimental data reveal the accuracy in describing asymmetrical temperature distributions about the tool face. Temperature of the bonded plate drops beneath the pin and is higher on the advancing side than the retreating side of the tool.

  14. Multiphase Flow Modeling of Biofuel Production Processes

    SciTech Connect (OSTI)

    D. Gaston; D. P. Guillen; J. Tester

    2011-06-01T23:59:59.000Z

    As part of the Idaho National Laboratory's (INL's) Secure Energy Initiative, the INL is performing research in areas that are vital to ensuring clean, secure energy supplies for the future. The INL Hybrid Energy Systems Testing (HYTEST) Laboratory is being established to develop and test hybrid energy systems with the principal objective to safeguard U.S. Energy Security by reducing dependence on foreign petroleum. HYTEST involves producing liquid fuels in a Hybrid Energy System (HES) by integrating carbon-based (i.e., bio-mass, oil-shale, etc.) with non-carbon based energy sources (i.e., wind energy, hydro, geothermal, nuclear, etc.). Advances in process development, control and modeling are the unifying vision for HES. This paper describes new modeling tools and methodologies to simulate advanced energy processes. Needs are emerging that require advanced computational modeling of multiphase reacting systems in the energy arena, driven by the 2007 Energy Independence and Security Act, which requires production of 36 billion gal/yr of biofuels by 2022, with 21 billion gal of this as advanced biofuels. Advanced biofuels derived from microalgal biomass have the potential to help achieve the 21 billion gal mandate, as well as reduce greenhouse gas emissions. Production of biofuels from microalgae is receiving considerable interest due to their potentially high oil yields (around 600 gal/acre). Microalgae have a high lipid content (up to 50%) and grow 10 to 100 times faster than terrestrial plants. The use of environmentally friendly alternatives to solvents and reagents commonly employed in reaction and phase separation processes is being explored. This is accomplished through the use of hydrothermal technologies, which are chemical and physical transformations in high-temperature (200-600 C), high-pressure (5-40 MPa) liquid or supercritical water. Figure 1 shows a simplified diagram of the production of biofuels from algae. Hydrothermal processing has significant advantages over other biomass processing methods with respect to separations. These 'green' alternatives employ a hybrid medium that, when operated supercritically, offers the prospect of tunable physicochemical properties. Solubility can be rapidly altered and phases partitioned selectively to precipitate or dissolve certain components by altering temperature or pressure in the near-critical region. The ability to tune the solvation properties of water in the highly compressible near-critical region facilitates partitioning of products or by-products into separate phases to separate and purify products. Since most challenges related to lipid extraction are associated with the industrial scale-up of integrated extraction systems, the new modeling capability offers the prospect of addressing previously untenable scaling issues.

  15. Extending a Business Process Modeling Tool with Process Configuration Facilities

    E-Print Network [OSTI]

    Ulm, Universität

    is maintained; e.g., oil and wiper fluid are checked. The process ends when handing over the vehicle back

  16. Effective Collaboration and Consistency Management in Business Process Modeling

    E-Print Network [OSTI]

    Czarnecki, Krzysztof

    Effective Collaboration and Consistency Management in Business Process Modeling Co-Chairs: Moises they are lost. Business Process Modeling (BPM) is a promising approach to enable agility in business process of experts. Business analysts gather requirements and create high-level process models. Solution architects

  17. Formalizing Concepts for Efficacy-aware Business Process Modeling

    E-Print Network [OSTI]

    Ulm, Universität

    Formalizing Concepts for Efficacy-aware Business Process Modeling Matthias Lohrmann and Manfred.lohrmann,manfred.reichert}@uni-ulm.de Abstract. In business process design, business objective models can ful- fill the role of formal business process management concepts yet. Moreover, process models are currently not sufficiently

  18. A Framework for Modeling Strategy, Business Processes and Information Systems

    E-Print Network [OSTI]

    A Framework for Modeling Strategy, Business Processes and Information Systems André Vasconcelos, an organization requires modeling its business processes. Business process modeling comprises the description is used not only in the business but also in the software domain. To represent the goal model, we propose

  19. BUSINESS PROCESSES EXTENSIONS TO UML PROFILE FOR BUSINESS MODELING

    E-Print Network [OSTI]

    BUSINESS PROCESSES EXTENSIONS TO UML PROFILE FOR BUSINESS MODELING Pedro Sinogas, André Vasconcelos@ceo.inesc.pt, jneves@ieee.org, rmendes@ceo.inesc.pt, jmt@inesc.pt Key words: Business Modeling, Business Process modeling business processes. This paper proposes an extension to UML Profile for Business Modeling

  20. Development of a Comprehensive Weld Process Model

    SciTech Connect (OSTI)

    Radhakrishnan, B.; Zacharia, T.

    1997-05-01T23:59:59.000Z

    This cooperative research and development agreement (CRADA) between Concurrent Technologies Corporation (CTC) and Lockheed Martin Energy Systems (LMES) combines CTC's expertise in the welding area and that of LMES to develop computer models and simulation software for welding processes. This development is of significant impact to the industry, including materials producers and fabricators. The main thrust of the research effort was to develop a comprehensive welding simulation methodology. A substantial amount of work has been done by several researchers to numerically model several welding processes. The primary drawback of most of the existing models is the lack of sound linkages between the mechanistic aspects (e.g., heat transfer, fluid flow, and residual stress) and the metallurgical aspects (e.g., microstructure development and control). A comprehensive numerical model which can be used to elucidate the effect of welding parameters/conditions on the temperature distribution, weld pool shape and size, solidification behavior, and microstructure development, as well as stresses and distortion, does not exist. It was therefore imperative to develop a comprehensive model which would predict all of the above phenomena during welding. The CRADA built upon an already existing three- dimensional (3-D) welding simulation model which was developed by LMES which is capable of predicting weld pool shape and the temperature history in 3-d single-pass welds. However, the model does not account for multipass welds, microstructural evolution, distortion and residual stresses. Additionally, the model requires large resources of computing time, which limits its use for practical applications. To overcome this, CTC and LMES have developed through this CRADA the comprehensive welding simulation model described above. The following technical tasks have been accomplished as part of the CRADA. 1. The LMES welding code has been ported to the Intel Paragon parallel computer at ORNL. The timing results illustrate the potential of the modified computer model for the analysis of large-scale welding simulations. 2. The kinetics of grain structure evolution in the weld heat affected zone (HAZ) has been simulated with reasonable accuracy by coupling an improved MC grain growth algorithm with a methodology for converting the MC parameters of grain size and time to real parameters. The simulations effectively captured the thermal pinning phenomenon that has been reported in the weld HAZ. 3. A cellular automaton (CA) code has been developed to simulate the solidification microstructure in the weld fusion zone. The simulations effectively captured the epitaxial growth of the HAZ grains, the grain selection mechanism, and the formation of typical grain structures observed in the weld t%sion zone. 4. The point heat source used in the LMES welding code has ben replaced with a distributed heat source to better capture the thermal characteristics and energy distributions in a commercial welding heat source. 5. Coupled thermal-mechanical and metallurgical models have been developed to accurately predict the weld residual stresses, and 6. Attempts have been made to integrate the newly developed computational capabilities into a comprehensive weld design tool.

  1. TSPA Model Development and Sensitivity Analysis of Processes...

    Office of Environmental Management (EM)

    Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and Sensitivity Analysis of Processes...

  2. The Model Morphing Approach -Horizontal Transformations between Business Process

    E-Print Network [OSTI]

    The Model Morphing Approach - Horizontal Transformations between Business Process Models Marion and business to busi- ness interoperability, there is a need for model transformations in the area of business this paper concentrates on transformations of models between different business process modeling languages

  3. Online Modeling in the Process Industry for Energy Optimization

    E-Print Network [OSTI]

    Alexander, J.

    "This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam...

  4. APPLYING ACTIVITY PATTERNS FOR DEVELOPING AN INTELLIGENT PROCESS MODELING TOOL

    E-Print Network [OSTI]

    Ulm, Universität

    attracting the interest of both BPM researchers and BPM tool vendors. Frequently, process models can Process Management (BPM) tools as well as emerging patterns for process modeling and change. BPM processes of an enterprise. Moreover, through Web service technology, the benefits of BPM can be created

  5. Correctness-Preserving Configuration of Business Process Models

    E-Print Network [OSTI]

    van der Aalst, Wil

    supported by SAP's Enterprise Resource Planning (ERP) system. Reference process models in commercial use or projects, leading to individualized process models that are subsequently used for domain analysis to support the development of software systems. To avoid the effort of creating process models from scratch

  6. Capturing Variability in Business Process Models: The Provop Approach

    E-Print Network [OSTI]

    Ulm, Universität

    Capturing Variability in Business Process Models: The Provop Approach Alena Hallerbach1 , Thomas be transferred to cross-organizational business processes as well [4]. A business process model captures models there exists a multitude of tools like ARIS Business Architect [5], ADONIS [6], and Web

  7. Modeling, Safely Advertising and Verifying Time-aware Business Processes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Modeling, Safely Advertising and Verifying Time-aware Business Processes : Towards a holistic. Nowadays, the business process model and notation BPMN standard is gaining widspread use in the business, we propose a BPMN extension for capturing temporal requirements during the business process modelling

  8. A Goal-Directed Modeling Technique towards Business Process

    E-Print Network [OSTI]

    Perry, Dewayne E.

    A Goal-Directed Modeling Technique towards Business Process Yuqun Zhang, Dewayne E. Perry Center--The modeling techniques for business process are mostly graphics-based, that is argued to be simplified when- plore the properties of the business processes under this modeling technique, we define a set of metrics

  9. Graphical modelling of process algebras with Stephen Gilmore

    E-Print Network [OSTI]

    Gilmore, Stephen

    Graphical modelling of process algebras with DrawNET Stephen Gilmore Laboratory for Foundations languages of process algebras and other state-based modelling formalisms. We have extended the DrawNET modelling tool to facilitate the design of PEPA net models [1] in addition to its existing support for Petri

  10. Hidden Process Models Tom M. Mitchell1,2,3

    E-Print Network [OSTI]

    introduce the Hidden Process Model (HPM), a probabilistic model for multivariate time series data intended 2 #12;1 Introduction In this paper, we propose the Hidden Process Model (HPM), a probabilistic model the set of assumptions captured in the HPM format requires a complex DBN. For instance, we must inflate

  11. Modeling of Laser Cutting and Related Processes A considerable proportion of laser processing modeling work in the academic

    E-Print Network [OSTI]

    Berlin,Technische Universität

    1 Modeling of Laser Cutting and Related Processes A considerable proportion of laser processing. Modeling laser cutting and its features Recent modeling work has concentrated on the implementation and numerical evaluation of a transient three-dimensional computer simulation of the CO2 laser cutting process

  12. Soil Carbon Modeling (Mac Post) A. Rothamsted model carbon pools and processes. Their approximate equivalents for the EBIS sample processing

    E-Print Network [OSTI]

    Soil Carbon Modeling (Mac Post) A. Rothamsted model carbon pools and processes. Their approximate' soil horizon show that model improvements need to be made to capture observed soil carbon cycling and transport processes. Testing and improvement of soil carbon cycling models is a key anticipated output

  13. America's Bottom-Up Climate Change Mitigation Policy

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01T23:59:59.000Z

    and developing emissions trading mechanisms to connect andand development of emissions trading or cap-and-tradesector market-based emissions trading system in the Western

  14. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01T23:59:59.000Z

    TSL 4 TSL 4 TSL 4 TSL 4 Group End Use Water HeatersWater HeatersWater Heaters Water Heaters Water Heaters Water Heaters

  15. America's Bottom-Up Climate Change Mitigation Policy

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01T23:59:59.000Z

    large conventional hydroelectric power, municipal solidconventional large hydroelectric power). To quantify thelarge conventional hydroelectric power is not included (this

  16. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01T23:59:59.000Z

    Energy Agency, World Energy Outlook 2006. 2006, OECD. ILO,by the trend of IEA’s World Energy Outlook (WEO) 2006 [71],to trends in the World Energy Outlook [71]. The projection

  17. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01T23:59:59.000Z

    South Africa China India Indonesia Total without China Total including China EnergySouth Africa and the United States. Chinese appliance energy

  18. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01T23:59:59.000Z

    LEGEND Baseline Unit Energy  Consumption Data or Assumptionof baseline unit energy consumption data is given in Table5 – Sources of Unit Energy Consumption Data Product Boilers

  19. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01T23:59:59.000Z

    Case (EFF) energy demand and Business as Usual (BAU) energyAnnual unit energy consumption in Business As Usual ScenarioM.A. , et al. , Business Case for Energy Efficiency in

  20. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01T23:59:59.000Z

    MEX RUS USA ZAF Baseline Unit Energy Consumption – AnnualRUS A USA ZAF A Target Unit Energy Consumption – Unit energy

  1. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01T23:59:59.000Z

    et al. , TV Energy Consumption Trends and Energy-Efficiencyet al. , Fan Energy Consumption Trends and Energy-EfficiencyEnergy Consumption can change over time according to usage trends.

  2. Introduction Within the context of a "bottom-up" ap-

    E-Print Network [OSTI]

    Yang, Peidong

    )substrate(Figure1a).4 A similar level of growth control can be achieved for GaN (Figure 1b) and Si 2 by adjusting the initial nano- cluster density on the substrates. In addi- tion, we have also the use of metalorganic chemical vapor deposition (MOCVD) and appropriate substrate selec- tion to control

  3. Assembly of a Molecular Needle, from the Bottom Up

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

    representation of the EscJ monomer, showing two domains. Top right: Arc-shaped EscJ tetramer. Bottom left: Interface between domain 1 of two EscJ monomers, colored green and...

  4. Bottom-Up Energy Analysis System (BUENAS) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouthbyBoston Heights, Ohio: Energy ResourcesBothell,

  5. Bottom-Up Energy Analysis System (BUENAS) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouthbyBoston Heights, Ohio: Energy ResourcesBothell,(Redirected

  6. Assembly of a Molecular Needle, from the Bottom Up

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management »EnergyHubs | Department of

  7. Assembly of a Molecular Needle, from the Bottom Up

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management »EnergyHubs | Department ofAssembly of

  8. Assembly of a Molecular Needle, from the Bottom Up

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management »EnergyHubs | Department ofAssembly

  9. Assembly of a Molecular Needle, from the Bottom Up

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management »EnergyHubs | Department

  10. Assembly of a Molecular Needle, from the Bottom Up

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumni AlumniFederalAshley Boyle AdministrativeAssembly of a

  11. Sandia National Laboratories: model chemical processes

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

    Sandia received funding for its "Mechanistic Modeling Framework for Predicting Extreme Battery Response: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and...

  12. Sensitivity of Optimal Operation of an Activated Sludge Process Model

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Sensitivity of Optimal Operation of an Activated Sludge Process Model Antonio Araujo, Simone sensitivity analysis of optimal operation conducted on an activated sludge process model based on the test.[7] applied a systematic procedure for control structure design of an activated sludge process

  13. Quantifying the Parallelism in BPMN Processes using Model Checking

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    a valuable guide for the problem of resource allocation in business processes. In this paper, we investigate . time and space, with a beginning and an end [5]. Business process modelling is an important area process efficiency and quality. More precisely, it is a stage to model activities, their causal

  14. Fractally deforested landscape: Pattern and process in a tri-national Amazon frontier

    E-Print Network [OSTI]

    Fractally deforested landscape: Pattern and process in a tri-national Amazon frontier Jing Sun a 32611, USA Keywords: Amazon Deforestation Fractal analysis Fixed-grid scans Bottom-up plan Configuration of deforestation at a pixel level from 1986 to 2010 in the study region. The evolving pattern of development

  15. Improving behavioral realism in hybrid energy-economy models using discrete choice

    E-Print Network [OSTI]

    Improving behavioral realism in hybrid energy-economy models using discrete choice studies Abstract Hybrid energy-economy models combine top-down and bottom-up approaches to explore behaviorally models to inform key behavioral parameters in CIMS, a hybrid model. The discrete choice models

  16. An Ontology-enabled Approach for Modelling Business Processes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An Ontology-enabled Approach for Modelling Business Processes Thi-Hoa-Hue Nguyen and Nhan Le problem regard- ing business processes modelled with CPNs sharing and subsequently their reuse need for representing business models in a meta-knowledge base. Firstly, the CPN ontology is defined to represent CPNs

  17. Semantic Lifting of Business Process models Mario Lezoche1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Semantic Lifting of Business Process models Mario Lezoche1 , Antonio De Nicola1 , Tania Di Mascio1, Italy tania@ing.univaq.it Abstract. Business Process modeling is constantly acquiring attention in modern enterprises. Today, BP editor tools support modelers in building correct diagrams only from

  18. Model-Driven Business Process Recovery , Terence C. Lau2

    E-Print Network [OSTI]

    Zou, Ying

    Model-Driven Business Process Recovery Ying Zou1 , Terence C. Lau2 , Kostas Kontogiannis3 , Tack. In this paper, we propose a model-driven business process recovery framework that captures the essential-to-date linkage between business tasks and their implementation in source code, we propose a model-driven business

  19. An information modeling framework for process planning

    E-Print Network [OSTI]

    Atreya, Dinesh S.

    1993-01-01T23:59:59.000Z

    and manufacture and thus plays an important role in achieving CIM. Process Planning has been defined by the Society of Manufacturing Engineers as the systematic de- termination of methods by which a product is to be manufactured economically and competitively... Planning As defined earlier, process planning is the systematic determination of the methods by which a product is to be manufactured economically and competitively. Usually, process planning as well as operation planning involves a series of tasks...

  20. PI CONTROLLERS PERFORMANCES FOR A PROCESS MODEL WITH VARYING DELAY

    E-Print Network [OSTI]

    the obtained performances on a simplified hy- drodesulfurization process model we use as test case. 2 PI by a relay feedback as shown in [1]. Ziegler and Nichols then studied on a simple real process

  1. Gaussian Process Product Models for Nonparametric Nonstationarity

    E-Print Network [OSTI]

    Adams, Ryan Prescott

    .ac.uk Oliver Stegle os252@cam.ac.uk Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, UK- dictive distributions. 1. Introduction The Gaussian process (Rasmussen & Williams, 2006) is a useful approaches involve Gaussian process mix- tures (Rasmussen, 2000), augmentation of the input space (Pfingsten

  2. Modeling and analysis of dual hydroforming process 

    E-Print Network [OSTI]

    Jain, Nishant

    2004-09-30T23:59:59.000Z

    Effect of Strain Hardening Exponent, n................................ 69 Effect of Anisotropy, r .......................................................... 71 Effect of Friction... of Friction on Dual Hydroforming Process ..................................... 75 5-6 Effect of Different Materials on Dual Hydroforming Process................... 77 xi LIST OF TABLES TABLE Page 2-1 Material Properties for Copper...

  3. "Big Picture" Process Modeling Tools |GE Global Research

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

    downstream advantages as costs are reduced thanks to lower power requirements for distillation and even reduced liquid waste generation. In the second case, process modeling...

  4. On the modeling and control of delamination processes

    E-Print Network [OSTI]

    Michal Kocvara

    2004-01-20T23:59:59.000Z

    Jan 20, 2004 ... On the modeling and control of delamination processes. Michal Kocvara (kocvara ***at*** utia.cas.cz) Jiri V. Outrata (outrata ***at*** utia.cas.cz).

  5. Reversible computation as a model for the quantum measurement process

    E-Print Network [OSTI]

    Karl Svozil

    2009-04-15T23:59:59.000Z

    One-to-one reversible automata are introduced. Their applicability to a modelling of the quantum mechanical measurement process is discussed.

  6. Achieving Process modeling and Execution through the Combination of Aspect and Model-Driven Engineering

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Achieving Process modeling and Execution through the Combination of Aspect and Model. One major advantage of executable software process models is that once defined, they can be simulated for important process improvement decisions such as resource allocation, deadlock identification and process

  7. Bayesian variable selection in clustering via dirichlet process mixture models

    E-Print Network [OSTI]

    Kim, Sinae

    2007-09-17T23:59:59.000Z

    simultane- ously. I use Dirichlet process mixture models to define the cluster structure and to introduce in the model a latent binary vector to identify discriminating variables. I update the variable selection index using a Metropolis algorithm and obtain...

  8. AMFIBIA: A Meta-Model for the Integration of Business Process Modelling Aspects

    E-Print Network [OSTI]

    Kindler, Ekkart

    AMFIBIA: A Meta-Model for the Integration of Business Process Modelling Aspects Bj¨orn Axenath that formalizes the essential as- pects and concepts of business process modelling. Though AMFIBIA is not the first approach to formalizing the aspects and concepts of busi- ness process modelling, it is more

  9. Gaussian Process Topic Models Amrudin Agovic

    E-Print Network [OSTI]

    Banerjee, Arindam

    ) [Blei et al.(2003)] and its variants have proven useful and effective. Such topic models allow mixed) [Blei and Lafferty(2006)] were proposed to address this issue. Instead of a Dirichlet prior, CTMs use link struc- ture among documents [Chang and Blei(2009)], exist- ing topic models, including CTM

  10. Building Qualitative Models of Thermodynamic Processes

    E-Print Network [OSTI]

    Forbus, Kenneth D.

    of typical fluid and thermal systems, such as refrigerators and power plants . We use explicit modeling simplified versions of a refrigerator, a steam plant, and a thermal control system . Finally, we describe a Refrigerator 66 5 .5 Modeling a shipboard propulsion plant 70 5 .6 Summary of Examples 70 6 Discussion 72 7

  11. Computer modeling of the spallation process

    E-Print Network [OSTI]

    Walker, Wayne Claire

    1978-01-01T23:59:59.000Z

    ) de. (62) Note here that S(E) is the entropy of a nucleus with an energy between E andE+ dE. An allowance must be made at this point for the affect that the Coulomb field will have on the cross section of the reverse process. If we assume... that classically the particle hitting the nucleus is ab- sorbed, thon the cross section for the roverse process becomes c(EA, e) = ao(l ? V/c) for c & V (63) 0 fore &V where uo = sr and V = zz, e /r. The Coulomb field is expressed in terms of. the charge, ze...

  12. An explication of the reactance processing model 

    E-Print Network [OSTI]

    Quick, Brian Lee

    2005-11-01T23:59:59.000Z

    Model (RPM). Specifically, the RPM conceptualizes reactance as a motivational state, investigates the degree of reactance arousal elicited by threat-tochoice, vivid, and explicit language (along with an additive effect of the aforementioned message...

  13. Scalable analysis of stochastic process algebra models 

    E-Print Network [OSTI]

    Tribastone, Mirco

    2010-01-01T23:59:59.000Z

    The performance modelling of large-scale systems using discrete-state approaches is fundamentally hampered by the well-known problem of state-space explosion, which causes exponential growth of the reachable state space ...

  14. Author's personal copy Fuzzy modelling of the composting process

    E-Print Network [OSTI]

    Author's personal copy Fuzzy modelling of the composting process E. Giusti, S. Marsili May 2009 Available online 18 June 2009 Keywords: Composting Fuzzy models Fuzzy identification Fuzzy clustering a b s t r a c t Composting is a solid waste treatment process consisting of the biochemical

  15. Adaptive Methods for Modelling Transport Processes in Fractured Subsurface Systems

    E-Print Network [OSTI]

    Cirpka, Olaf Arie

    ­ discrete Galerkin method applying finite differences for the discretization in time and the StreamlineAdaptive Methods for Modelling Transport Processes in Fractured Subsurface Systems 3rd­adaptive methods for modelling transport processes in fractured rock. As a simplification, ideal tracers

  16. Model-based experimental analysis for inter-polymer process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    ) + Polyethylene (PE) ARCEL TOUGH FLEXIBLE Advanced packaging material Interpenetrating polymer network productModel-based experimental analysis for inter-polymer process CMU: Weijie Lin, Lorenz T. Biegler processed in a sequential way Polymer A Polymer B Project overview Inter-polymer process #12;Project

  17. Process modeling for the Integrated Nonthermal Treatment System (INTS) study

    SciTech Connect (OSTI)

    Brown, B.W.

    1997-04-01T23:59:59.000Z

    This report describes the process modeling done in support of the Integrated Nonthermal Treatment System (INTS) study. This study was performed to supplement the Integrated Thermal Treatment System (ITTS) study and comprises five conceptual treatment systems that treat DOE contract-handled mixed low-level wastes (MLLW) at temperatures of less than 350{degrees}F. ASPEN PLUS, a chemical process simulator, was used to model the systems. Nonthermal treatment systems were developed as part of the INTS study and include sufficient processing steps to treat the entire inventory of MLLW. The final result of the modeling is a process flowsheet with a detailed mass and energy balance. In contrast to the ITTS study, which modeled only the main treatment system, the INTS study modeled each of the various processing steps with ASPEN PLUS, release 9.1-1. Trace constituents, such as radionuclides and minor pollutant species, were not included in the calculations.

  18. Process modeling of hydrogen production from municipal solid waste

    SciTech Connect (OSTI)

    Thorsness, C.B.

    1995-01-01T23:59:59.000Z

    The ASPEN PLUS commercial simulation software has been used to develop a process model for a conceptual process to convert municipal solid waste (MSW) to hydrogen. The process consists of hydrothermal treatment of the MSW in water to create a slurry suitable as feedstock for an oxygen blown Texaco gasifier. A method of reducing the complicated MSW feed material to a manageable set of components is outlined along with a framework for modeling the stoichiometric changes associated with the hydrothermal treatment process. Model results indicate that 0.672 kmol/s of hydrogen can be produced from the processing of 30 kg/s (2600 tonne/day) of raw MSW. A number of variations on the basic processing parameters are explored and indicate that there is a clear incentive to reduce the inert fraction in the processed slurry feed and that cofeeding a low value heavy oil may be economically attractive.

  19. The development of a cognitive process-oriented correlation model 

    E-Print Network [OSTI]

    Kneuven, Richard James

    1988-01-01T23:59:59.000Z

    Chair of Advisory Committee: Dr. Patricia A. Alexander This study was undertaken to discover what underlying cognitive processes could provide a basis for a cognitive process-oriented correlation model and to examine how this cognitive information... examined interpretations of information-processing as articulated by selected cognitive theorists, assorted approaches to interdisciplinary instruction, as well as various approaches to curriculum design. Ultimately, a curricular model was developed...

  20. Modeling and analysis of dual hydroforming process

    E-Print Network [OSTI]

    Jain, Nishant

    2004-09-30T23:59:59.000Z

    economic product with the best performance, it is important to choose proper material and process 11 parameters [28]. The experiments were conducted on various steel grades ranging from high strength to low strength steels. The material parameters... pressure and axial feeding. There are many applications of tube hydroforming in the automotive industry and in household uses. This technology uses clamping devices such as mechanical presses, pressure intensifiers, hydraulic punches and control systems...

  1. Analyzing Critical Process Models through Behavior Model Synthesis Christophe Damas1

    E-Print Network [OSTI]

    Bonaventure, Olivier

    be verified on Little-JIL process models [17], after task conversion into LTS, using LTSA [18]. LTSA was also

  2. Modeling of multilayer ion etching processes

    SciTech Connect (OSTI)

    Sherwin, S.J.; Barouch, E.; Karniadakis, G.E. [Princeton Univ., NJ (United States)] [and others] [Princeton Univ., NJ (United States); and others

    1993-07-01T23:59:59.000Z

    Numerical simulation is used to model ion etching in trilayer lithography. The simulations are capable of capturing the evolution of the boundary between two materials as well as the physically observed phonemena reactive ion etching lag and undercutting. Numerical results are compared with experimental data and a good agreement is found except close to the material interface where the slope of the surface is large. This error is attributed to a purely energy dependent yield used in the simulations. 6 refs., 6 figs.

  3. Dynamic Bayesian Networks model to estimate process availability.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Dynamic Bayesian Networks model to estimate process availability. Weber P. Centre de Recherche en reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability of the system availability estimation comparing DBN model with the classical Markov chain model. Keywords

  4. Seismic transient deconvolution with model-based signal processing

    SciTech Connect (OSTI)

    Tague, J.A.; Schutz, K.D. [Ohio Univ., Athens, OH (United States). Dept. of Electrical and Computer Engineering] [Ohio Univ., Athens, OH (United States). Dept. of Electrical and Computer Engineering

    1997-07-01T23:59:59.000Z

    Short duration seismic disturbances, obscured by earth noise and distorted by the seismometers used to measure them, can be reconstructed using model-based signal processing. Model based means that mathematical models of the seismic transient, earth noise, and seismometer dynamics are infused into the signal processor that estimates the disturbance. The processor imposes no predetermined structure on the transient and the earth noise need not be white. Model-based processors produce good quality estimates for a broad class of transient waveforms.

  5. Cost modeling in the integrated supply chain strategic decision process

    E-Print Network [OSTI]

    Robinson, Todd (Todd Christopher)

    2006-01-01T23:59:59.000Z

    This thesis is based on an internship at Honeywell Aerospace's Integrated Supply Chain (ISC) Leadership division. This work focuses on the role and use of analytical cost models in the strategy development process. The ...

  6. Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes

    E-Print Network [OSTI]

    Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes Christopher K. Wikle Department of Statistics, University of Missouri To appear: Ecology June 10, 2002 Key Words: Bayesian, Diffusion, Forecast, Hierarchical, House Finch, Invasive, Malthu- sian, State Space, Uncertainty Abstract

  7. Digital neural network-based modeling technique for extrusion processes

    E-Print Network [OSTI]

    Jang, Won-Hyouk

    2001-01-01T23:59:59.000Z

    and market conditions. In order to develop reliable and well-performing advanced process monitoring and diagnostic systems for achieving improved product quality and cost-effective operation, the neural network-based modeling technique for the extrusion...

  8. Computational model for high-energy laser-cutting process

    SciTech Connect (OSTI)

    Kim, M.J.; Majumdar, P. [Northern Illinois Univ., DeKalb, IL (United States). Dept. of Mechanical Engineering

    1995-06-01T23:59:59.000Z

    A computational model for the simulation of a laser-cutting process has been developed using a finite element method. A transient heat transfer model is considered that deals with the material-cutting process using a Gaussian continuous wave laser beam. Numerical experimentation is carried out for mesh refinements and the rate of convergence in terms of groove shape and temperature. Results are also presented for the prediction of groove depth with different moving speeds.

  9. Modelling the Energy Demand of Households in a Combined

    E-Print Network [OSTI]

    Steininger, Karl W.

    . Emissions from passenger transport, households'electricity and heat consumption are growing rapidly despite demand analysis for electricity (e.g. Larsen and Nesbakken, 2004; Holtedahl and Joutz, 2004Modelling the Energy Demand of Households in a Combined Top Down/Bottom Up Approach Kurt Kratena

  10. MULTISCALE MODELING OF DIFFUSION-INDUCED DEFORMATION PROCESSES

    E-Print Network [OSTI]

    Ponce, V. Miguel

    MULTISCALE MODELING OF DIFFUSION- INDUCED DEFORMATION PROCESSES Dr. Eugene Olevsky Friday, February 19, 2010 Engineering Bldg. Room E 300 Sintering is a high temperature process of bonding together of matter transport by different diffusion mechanisms driven by the high surface energy of aggregates

  11. Modelling and Simulation of a Polluted Water Pumping Process

    E-Print Network [OSTI]

    Tradacete, Pedro

    Modelling and Simulation of a Polluted Water Pumping Process Chitra Alavani1 , Roland Glowinski2 concentration when a polluted water pumping ship follows a pre­assigned trajectory to remove the pollutant. We, sea currents and pumping process and the reaction due to the extraction of oil, implying

  12. Searching for PMIPS: Process Model Instructions Per Second

    E-Print Network [OSTI]

    Baldi, Mario

    management system (DBMS), process engine (PrE), and user interface (UI) service. The PrE interprets and executes process mod­ els. The DBMS stores and manages both software products and process models machines ranging from terminals to mainframes. tools DBMS C DPP DCS C C ID D A1 A2 A3 A4 PrE A5 DCS DPP Fig

  13. The application of a hybrid energy-economy model to a key developing country China

    E-Print Network [OSTI]

    The application of a hybrid energy-economy model to a key developing country ­ China JianJun Tu, a hybrid (bottom-up/top-down) energy- economy model, to test how different policy packages could, Vancouver, V5A 1S6, Canada E-mail (Jaccard): Jaccard@sfu.ca Energy security, local air pollution and GHG

  14. A Spatio-Temporal Point Process Model for Ambulance Demand

    E-Print Network [OSTI]

    Woodard, Dawn B.

    (EMS) managers need accurate demand estimates to mini- mize response times to emergencies and keep. Several studies have modeled aggregate ambulance demand as a temporal process. Channouf et al. (2007) use by combining a dynamic latent factor structure with integer time series models. Other aggregate demand studies

  15. Modeling Lake Erie ice dynamics: Process studies , Haoguo Hu2

    E-Print Network [OSTI]

    Modeling Lake Erie ice dynamics: Process studies Jia Wang1 , Haoguo Hu2 , and Xuezhi Bai2 1 NOAA of Michigan 4840 S. State Road, Ann Arbor, MI 48108 Abstract. A Great Lakes Ice-circulation Model (GLIM derived from meteorological measurements. After the seasonal cycles of ice concentration, thickness

  16. Model-Driven Process Configuration of Enterprise Systems*

    E-Print Network [OSTI]

    van der Aalst, Wil

    have been funded by SAP Research and Queensland University of Technology with the project "ModellingModel-Driven Process Configuration of Enterprise Systems* Alexander Dreiling, Michael Rosemann Queensland University of Technology Wil van der Aalst Eindhoven University of Technology Wasim Sadiq SAP

  17. PROCESS MODELING AND CONTROL The Department of Chemical Engineering

    E-Print Network [OSTI]

    Lightsey, Glenn

    economic performance · MIMO (vs. SISO) models · Nonlinear (vs. linear) models · Stochastic variables.D. Graduates (2005 - 2008) Student/Supervisor Destination E. Hale (JQ) Ph.D. (8/05) NREL R. Chong (TFE) M.S. (8 (Emerson Process Management) · J. Lee (postdoc) ­ Various topics in multivariable control (e.g., multiloop

  18. PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral Process Design for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    in Asia. Asia will have a strong impact on the global trends in key metals consumption Takashi NishiyamaPASI 2011 PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral;Balance between global consumption and the available production Motivation PSE at CICITEM Models

  19. Applying Model Transformation By-Example on Business Process Modeling Languages

    E-Print Network [OSTI]

    By Example (MTBE) approaches have been proposed as user-friendly alternative that simplifies the definition of model transformations. Up to now, MTBE ap- proaches have been applied to structural models, only. In this work we apply MTBE to the domain of business process modeling languages, i.e., Event-driven Process

  20. Statistical post processing of model output from the air quality model LOTOS-EUROS

    E-Print Network [OSTI]

    Stoffelen, Ad

    are calculated with R, a language for statistical computing. The routine STEP in R is used to remove variablesStatistical post processing of model output from the air quality model LOTOS-EUROS Annemiek Pijnappel De Bilt, 2011 | Stageverslag #12;#12;Statistical post processing of model output from the air

  1. Learning Business Process Models: A case study Johny Ghattas, Pnina Soffer, Mor Peleg

    E-Print Network [OSTI]

    Peleg, Mor

    Learning Business Process Models: A case study Johny Ghattas, Pnina Soffer, Mor Peleg Management the application of LPM to a vaccination process. Keywords: Learning, business process model, generic process model the currently defined process model and the actual business process are detected. This forms the basis

  2. Bridging the Gap Between BusinessBridging the Gap Between BusinessBridging the Gap Between BusinessBridging the Gap Between Business Process Models and ServiceProcess Models and ServiceProcess Models and ServiceProcess Models and Service

    E-Print Network [OSTI]

    Ulm, Universität

    Bridging the Gap Between Business Process Models and ServiceProcess Models and ServiceProcess Models and Service of the major reasons for this deficiency is the gap that exists between business process models on the one hand a flexible approach for aligning business process models with workflow specifications. In order to maintain

  3. Web Services-Enhanced Agile Modeling and Integrating Business Processes

    E-Print Network [OSTI]

    Belouadha, Fatima-Zahra; Roudiès, Ounsa

    2012-01-01T23:59:59.000Z

    In a global business context with continuous changes, the enterprises have to enhance their operational efficiency, to react more quickly, to ensure the flexibility of their business processes, and to build new collaboration pathways with external partners. To achieve this goal, they must use e-business methods, mechanisms and techniques while capitalizing on the potential of new information and communication technologies. In this context, we propose a standards, model and Web services-based approach for modeling and integrating agile enterprise business processes. The purpose is to benefit from Web services characteristics to enhance the processes design and realize their dynamic integration. The choice of focusing on Web services is essentially justified by their broad adoption by enterprises as well as their capability to warranty interoperability between both intra and inter-enterprises systems. Thereby, we propose in this chapter a metamodel for describing business processes, and discuss their dynamic in...

  4. A subliminal manipulation of the Extended Parallel Process Model

    E-Print Network [OSTI]

    Stephenson, Michael Taylor

    1993-01-01T23:59:59.000Z

    the context of skin cancer. The goals of this study were to (1) assess the effects of subliminal embeds as fear appeals (2) within the framework of the Extended Parallel Process Model, the EPPM (Witte, 1992a). While this study demonstrated that subliminal... go unnoticed by individuals (Dixon, 1981). To extend the inquiry into subliminal message processing, this project places embedded pictures (a form of subliminal research) in the context of skin cancer This thesis uses the style of mm ni ' n...

  5. Analysis of the cyanobacterial hydrogen photoproduction process via model identification and process simulation

    E-Print Network [OSTI]

    Zhang, Dongda; Dechatiwongse, Pongsathorn; Del-Rio-Chanona, Ehecatl Antonio; Hellgardt, Klaus; Maitland, Geoffrey C.; Vassiliadis, Vassilios S.

    2015-02-02T23:59:59.000Z

    February 2015 Keywords: Biohydrogen Cyanobacteria Photoproduction Kinetic models Process simulation Bioreactor design a b s t r a c t Cyanothece sp. ATCC 51142 is considered a microorganism with the potential to generate sustainable hydrogen in the future... the direction of culture movement, the overall hydrogen production rate in a PFR may be lower than that in a CSTR. Finally, in this study fed-batch photoproduction processes are proposed containing only one photo- bioreactor based on the current simulation...

  6. Mathematical Formulation Requirements and Specifications for the Process Models

    SciTech Connect (OSTI)

    Steefel, C.; Moulton, D.; Pau, G.; Lipnikov, K.; Meza, J.; Lichtner, P.; Wolery, T.; Bacon, D.; Spycher, N.; Bell, J.; Moridis, G.; Yabusaki, S.; Sonnenthal, E.; Zyvoloski, G.; Andre, B.; Zheng, L.; Davis, J.

    2010-11-01T23:59:59.000Z

    The Advanced Simulation Capability for Environmental Management (ASCEM) is intended to be a state-of-the-art scientific tool and approach for understanding and predicting contaminant fate and transport in natural and engineered systems. The ASCEM program is aimed at addressing critical EM program needs to better understand and quantify flow and contaminant transport behavior in complex geological systems. It will also address the long-term performance of engineered components including cementitious materials in nuclear waste disposal facilities, in order to reduce uncertainties and risks associated with DOE EM's environmental cleanup and closure activities. Building upon national capabilities developed from decades of Research and Development in subsurface geosciences, computational and computer science, modeling and applied mathematics, and environmental remediation, the ASCEM initiative will develop an integrated, open-source, high-performance computer modeling system for multiphase, multicomponent, multiscale subsurface flow and contaminant transport. This integrated modeling system will incorporate capabilities for predicting releases from various waste forms, identifying exposure pathways and performing dose calculations, and conducting systematic uncertainty quantification. The ASCEM approach will be demonstrated on selected sites, and then applied to support the next generation of performance assessments of nuclear waste disposal and facility decommissioning across the EM complex. The Multi-Process High Performance Computing (HPC) Simulator is one of three thrust areas in ASCEM. The other two are the Platform and Integrated Toolsets (dubbed the Platform) and Site Applications. The primary objective of the HPC Simulator is to provide a flexible and extensible computational engine to simulate the coupled processes and flow scenarios described by the conceptual models developed using the ASCEM Platform. The graded and iterative approach to assessments naturally generates a suite of conceptual models that span a range of process complexity, potentially coupling hydrological, biogeochemical, geomechanical, and thermal processes. The Platform will use ensembles of these simulations to quantify the associated uncertainty, sensitivity, and risk. The Process Models task within the HPC Simulator focuses on the mathematical descriptions of the relevant physical processes.

  7. Monte Carlo based toy model for fission process

    SciTech Connect (OSTI)

    Kurniadi, R., E-mail: rijalk@fi.itb.ac.id; Waris, A., E-mail: rijalk@fi.itb.ac.id; Viridi, S., E-mail: rijalk@fi.itb.ac.id [Department of Physics, Nuclear Physics and Biophysics Research Division, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung (Indonesia)

    2014-09-30T23:59:59.000Z

    There are many models and calculation techniques to obtain visible image of fission yield process. In particular, fission yield can be calculated by using two calculations approach, namely macroscopic approach and microscopic approach. This work proposes another calculation approach in which the nucleus is treated as a toy model. Hence, the fission process does not represent real fission process in nature completely. The toy model is formed by Gaussian distribution of random number that randomizes distance like the distance between particle and central point. The scission process is started by smashing compound nucleus central point into two parts that are left central and right central points. These three points have different Gaussian distribution parameters such as mean (?{sub CN}, ?{sub L}, ?{sub R}), and standard deviation (?{sub CN}, ?{sub L}, ?{sub R}). By overlaying of three distributions, the number of particles (N{sub L}, N{sub R}) that are trapped by central points can be obtained. This process is iterated until (N{sub L}, N{sub R}) become constant numbers. Smashing process is repeated by changing ?{sub L} and ?{sub R}, randomly.

  8. Diode laser welding of ABS: Experiments and process modeling

    E-Print Network [OSTI]

    Ilie, Mariana; Mattei, Simone; Cicala, Eugen; Stoica, Virgil; 10.1016/j.optlastec.2008.10.005

    2010-01-01T23:59:59.000Z

    The laser beam weldability of acrylonitrile/butadiene/styrene (ABS) plates is determined by combining both experimental and theoretical aspects. In modeling the process, an optical model is used to determine how the laser beam is attenuated by the first material and to obtain the laser beam profile at the interface. Using this information as the input data to a thermal model, the evolution of the temperature field within the two components can be estimated. The thermal model is based on the first principles of heat transfer and utilizes the temperature variation laws of material properties. Corroborating the numerical results with the experimental results, some important insights concerning the fundamental phenomena that govern the process could be extracted. This approach proved to be an efficient tool in determining the weldability of polimeric materials and assures a significant reduction of time and costs with the experimental exploration.

  9. Scaling considerations for modeling the in situ vitrification process

    SciTech Connect (OSTI)

    Langerman, M.A.; MacKinnon, R.J.

    1990-09-01T23:59:59.000Z

    Scaling relationships for modeling the in situ vitrification waste remediation process are documented based upon similarity considerations derived from fundamental principles. Requirements for maintaining temperature and electric potential field similarity between the model and the prototype are determined as well as requirements for maintaining similarity in off-gas generation rates. A scaling rationale for designing reduced-scale experiments is presented and the results are assessed numerically. 9 refs., 6 figs.

  10. A Survey on Time-aware Business Process Modeling Saoussen Cheikhrouhou1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Survey on Time-aware Business Process Modeling Saoussen Cheikhrouhou1 , Slim Kallel1 , Nawal : Business Process Modeling (BPM) : Workflow : Web service composition : Inter-Organisational Business suites. Consequently, modeling and managing temporal requirements in the business process field

  11. Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier

    E-Print Network [OSTI]

    Neumaier, Arnold

    Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier Fakultät für Mathematik an important role in the development of our novel optimization methods. Foundations of a Modelica library-product distillation were computed as a proof of concept. The Modelica source code is available at the project homepage

  12. Interpreting Eye Movements with Process Models Dario D. Salvucci

    E-Print Network [OSTI]

    Salvucci, Dario D.

    Interpreting Eye Movements with Process Models Dario D. Salvucci Department of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 +1 412 268 8102 dario+@cs.cmu.edu ABSTRACT Though eye movements provide a wealth of information about how humans interact with computers, the analysis of eye

  13. Supporting Generic Cost Models for Wide-Area Stream Processing

    E-Print Network [OSTI]

    Cetintemel, Ugur

    Supporting Generic Cost Models for Wide-Area Stream Processing Olga Papaemmanouil #1 , Ugur C¸ etintemel 2 , John Jannotti 2 # Deparment of Computer Science, Brandeis University, Waltham, MA, USA 1 olga and increased availability of receptors that report physical or software events has led to the emergence

  14. Process modeling for the Integrated Thermal Treatment System (ITTS) study

    SciTech Connect (OSTI)

    Liebelt, K.H.; Brown, B.W.; Quapp, W.J.

    1995-09-01T23:59:59.000Z

    This report describes the process modeling done in support of the integrated thermal treatment system (ITTS) study, Phases 1 and 2. ITTS consists of an integrated systems engineering approach for uniform comparison of widely varying thermal treatment technologies proposed for treatment of the contact-handled mixed low-level wastes (MLLW) currently stored in the U.S. Department of Energy complex. In the overall study, 19 systems were evaluated. Preconceptual designs were developed that included all of the various subsystems necessary for a complete installation, from waste receiving through to primary and secondary stabilization and disposal of the processed wastes. Each system included the necessary auxiliary treatment subsystems so that all of the waste categories in the complex were fully processed. The objective of the modeling task was to perform mass and energy balances of the major material components in each system. Modeling of trace materials, such as pollutants and radioactive isotopes, were beyond the present scope. The modeling of the main and secondary thermal treatment, air pollution control, and metal melting subsystems was done using the ASPEN PLUS process simulation code, Version 9.1-3. These results were combined with calculations for the remainder of the subsystems to achieve the final results, which included offgas volumes, and mass and volume waste reduction ratios.

  15. A Process Model of Applicant Faking on Overt Integrity Tests

    E-Print Network [OSTI]

    Yu, Janie

    2010-01-14T23:59:59.000Z

    To better understand the cognitive processes associated with faking behaviors, Ajzen?s Theory of Planned Behavior was adapted to the study of faking on overt integrity tests. This decision-based model is then expanded through the inclusion of a key...

  16. Measurement and modeling of advanced coal conversion processes, Volume III

    SciTech Connect (OSTI)

    Ghani, M.U.; Hobbs, M.L.; Hamblen, D.G. [and others

    1993-08-01T23:59:59.000Z

    A generalized one-dimensional, heterogeneous, steady-state, fixed-bed model for coal gasification and combustion is presented. The model, FBED-1, is a design and analysis tool that can be used to simulate a variety of gasification, devolatilization, and combustion processes. The model considers separate gas and solid temperatures, axially variable solid and gas flow rates, variable bed void fraction, coal drying, devolatilization based on chemical functional group composition, depolymerization, vaporization and crosslinking, oxidation, and gasification of char, and partial equilibrium in the gas phase.

  17. A dimensionless parameter model for arc welding processes

    SciTech Connect (OSTI)

    Fuerschbach, P.W.

    1994-12-31T23:59:59.000Z

    A dimensionless parameter model previously developed for C0{sub 2} laser beam welding has been shown to be applicable to GTAW and PAW autogenous arc welding processes. The model facilitates estimates of weld size, power, and speed based on knowledge of the material`s thermal properties. The dimensionless parameters can also be used to estimate the melting efficiency, which eases development of weld schedules with lower heat input to the weldment. The mathematical relationship between the dimensionless parameters in the model has been shown to be dependent on the heat flow geometry in the weldment.

  18. Bessel process, Schramm-Loewner evolution, and Dyson model

    E-Print Network [OSTI]

    Makoto Katori

    2011-03-24T23:59:59.000Z

    Bessel process is defined as the radial part of the Brownian motion (BM) in the $D$-dimensional space, and is considered as a one-parameter family of one-dimensional diffusion processes indexed by $D$, BES$^{(D)}$. It is well-known that $D_{\\rm c}=2$ is the critical dimension. Bessel flow is a notion such that we regard BES$^{(D)}$ with a fixed $D$ as a one-parameter family of initial value. There is another critical dimension $\\bar{D}_{\\rm c}=3/2$ and, in the intermediate values of $D$, $\\bar{D}_{\\rm c} multivariate extension of BES$^{(3)}$. We explain the 'parenthood' of BES$^{(D)}$ and SLE$^{(D)}$, and that of BES$^{(3)}$ and the Dyson model. It is shown that complex analysis is effectively applied to study stochastic processes and statistical mechanics models in equilibrium and nonequilibrium states.

  19. Estimation of landfill emission lifespan using process oriented modeling

    SciTech Connect (OSTI)

    Ustohalova, Veronika [Institute of Waste Management, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany)]. E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim [Institute of Mechanics, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany); Widmann, Renatus [Institute of Waste Management, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany)

    2006-07-01T23:59:59.000Z

    Depending on the particular pollutants emitted, landfills may require service activities lasting from hundreds to thousands of years. Flexible tools allowing long-term predictions of emissions are of key importance to determine the nature and expected duration of maintenance and post-closure activities. A highly capable option represents predictions based on models and verified by experiments that are fast, flexible and allow for the comparison of various possible operation scenarios in order to find the most appropriate one. The intention of the presented work was to develop a experimentally verified multi-dimensional predictive model capable of quantifying and estimating processes taking place in landfill sites where coupled process description allows precise time and space resolution. This constitutive 2-dimensional model is based on the macromechanical theory of porous media (TPM) for a saturated thermo-elastic porous body. The model was used to simulate simultaneously occurring processes: organic phase transition, gas emissions, heat transport, and settlement behavior on a long time scale for municipal solid waste deposited in a landfill. The relationships between the properties (composition, pore structure) of a landfill and the conversion and multi-phase transport phenomena inside it were experimentally determined. In this paper, we present both the theoretical background of the model and the results of the simulations at one single point as well as in a vertical landfill cross section.

  20. Modeling veterans healthcare administration disclosure processes : CY 2012 summary.

    SciTech Connect (OSTI)

    Beyeler, Walter Eugene; DeMenno, Mercy B.; Finley, Patrick D.

    2013-09-01T23:59:59.000Z

    As with other large healthcare organizations, medical adverse events at the Department of Veterans Affairs (VA) facilities can expose patients to unforeseen negative risks. VHA leadership recognizes that properly handled disclosure of adverse events can minimize potential harm to patients and negative consequences for the effective functioning of the organization. The work documented here seeks to help improve the disclosure process by situating it within the broader theoretical framework of issues management, and to identify opportunities for process improvement through modeling disclosure and reactions to disclosure. The computational model will allow a variety of disclosure actions to be tested across a range of incident scenarios. Our conceptual model will be refined in collaboration with domain experts, especially by continuing to draw on insights from VA Study of the Communication of Adverse Large-Scale Events (SCALE) project researchers.

  1. Quantum mechanical Hamiltonian models of the computation process

    SciTech Connect (OSTI)

    Benioff, P.

    1983-01-01T23:59:59.000Z

    As noted in the proceedings of this conference it is of importance to determine if quantum mechanics imposes fundamental limits on the computation process. Some aspects of this problem have been examined by the development of different types of quantum mechanical Hamiltonian models of Turing machines. (Benioff 1980, 1982a, 1982b, 1982c). Turing machines were considered because they provide a standard representation of all digital computers. Thus, showing the existence of quantum mechanical models of all Turing machines is equivalent to showing the existence of quantum mechanical models of all digital computers. The types of models considered all had different properties. Some were constructed on two-dimensional lattices of quantum spin systems of spin 1/2 (Benioff 1982b, 1982c) or higher spins (Benioff 1980). All the models considered Turing machine computations which were made reversible by addition of a history tape. Quantum mechanical models of Bennett's reversible machines (Bennett 1973) in which the model makes a copy of the computation result and then erases the history and undoes the computation in lockstep to recover the input were also developed (Benioff 1982a). To avoid technical complications all the types of models were restricted to modelling an arbitrary but finite number of computation steps.

  2. Spatialtemporal modelling of fMRI data through spatially regularized mixture of hidden process models

    E-Print Network [OSTI]

    Tino, Peter

    . As the key ingredient of our temporal model, the Hidden Process Model (HPM) framework proposed in Hutchinson the original HPM framework, we use a parametric model of Haemodynamic Response Function (HRF) so that bi regions, the frontal ones are less homogeneous, requiring two HPM prototypes per region. Despite the rapid

  3. Soft wall model for a holographic superconductor

    E-Print Network [OSTI]

    Afonin, S S

    2015-01-01T23:59:59.000Z

    We apply the soft wall holographic model from hadron physics to a description of the high-$T_c$ superconductivity. In comparison with the existing bottom-up holographic superconductors, the proposed approach is more phenomenological. On the other hand, it is much simpler and has more freedom for fitting the conductivity properties of the real high-$T_c$ materials. We demonstrate some examples of emerging models and discuss a possible origin of the approach.

  4. ACTINIDE REMOVAL PROCESS SAMPLE ANALYSIS, CHEMICAL MODELING, AND FILTRATION EVALUATION

    SciTech Connect (OSTI)

    Martino, C.; Herman, D.; Pike, J.; Peters, T.

    2014-06-05T23:59:59.000Z

    Filtration within the Actinide Removal Process (ARP) currently limits the throughput in interim salt processing at the Savannah River Site. In this process, batches of salt solution with Monosodium Titanate (MST) sorbent are concentrated by crossflow filtration. The filtrate is subsequently processed to remove cesium in the Modular Caustic Side Solvent Extraction Unit (MCU) followed by disposal in saltstone grout. The concentrated MST slurry is washed and sent to the Defense Waste Processing Facility (DWPF) for vitrification. During recent ARP processing, there has been a degradation of filter performance manifested as the inability to maintain high filtrate flux throughout a multi-batch cycle. The objectives of this effort were to characterize the feed streams, to determine if solids (in addition to MST) are precipitating and causing the degraded performance of the filters, and to assess the particle size and rheological data to address potential filtration impacts. Equilibrium modelling with OLI Analyzer{sup TM} and OLI ESP{sup TM} was performed to determine chemical components at risk of precipitation and to simulate the ARP process. The performance of ARP filtration was evaluated to review potential causes of the observed filter behavior. Task activities for this study included extensive physical and chemical analysis of samples from the Late Wash Pump Tank (LWPT) and the Late Wash Hold Tank (LWHT) within ARP as well as samples of the tank farm feed from Tank 49H. The samples from the LWPT and LWHT were obtained from several stages of processing of Salt Batch 6D, Cycle 6, Batch 16.

  5. Process integrated modelling for steelmaking Life Cycle Inventory analysis

    SciTech Connect (OSTI)

    Iosif, Ana-Maria [Arcelor Research, Voie Romaine, BP30320, Maizieres-les-Metz, 57283 (France)], E-mail: ana-maria.iosif@arcelormittal.com; Hanrot, Francois [Arcelor Research, Voie Romaine, BP30320, Maizieres-les-Metz, 57283 (France)], E-mail: francois.hanrot@arcelormittal.com; Ablitzer, Denis [LSG2M, Ecole des Mines de Nancy, Parc de Saurupt, F-54042 Nancy cedex (France)], E-mail: denis.ablitzer@mines.inpl-nancy.fr

    2008-10-15T23:59:59.000Z

    During recent years, strict environmental regulations have been implemented by governments for the steelmaking industry in order to reduce their environmental impact. In the frame of the ULCOS project, we have developed a new methodological framework which combines the process integrated modelling approach with Life Cycle Assessment (LCA) method in order to carry out the Life Cycle Inventory of steelmaking. In the current paper, this new concept has been applied to the sinter plant which is the most polluting steelmaking process. It has been shown that this approach is a powerful tool to make the collection of data easier, to save time and to provide reliable information concerning the environmental diagnostic of the steelmaking processes.

  6. A simple segregated flow model for a WAG process

    E-Print Network [OSTI]

    Hopkins, Christopher Wright

    1985-01-01T23:59:59.000Z

    integration, a volumetric balance of the injectants and the initial reservoir fluids is obtained. The model was developed with several simplifying assumptions including immiscible water and gas phases, incompressible fluid f'low, no trapped oil volumes... with the process are the relatively higher sweep efficiencies of water floods and the low residual oil saturations of miscible gas injection. The mechanism oP water flooding is generally well understood. Many Pields have been and still are being waterflooded...

  7. Use of artificial intelligence for process modeling and control

    E-Print Network [OSTI]

    You, Yong

    1991-01-01T23:59:59.000Z

    , recurrent neural networks constitute a simple and effective general method for static and dynmnic input-output mocleling of nonlinear systems. Design of a fuzzy logic control system for a biochemical system is also conducted, Fuzzification membership... method for input-output modeling of static and dynamic nonlinear systems vis, recurrent neural nctvvorks (RNNs) and design of a fuzzy logic control svstem for a biochcnzical process system. Simulation results show tha. t RNNs can learn nonlinear ste...

  8. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect (OSTI)

    Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

    2010-08-01T23:59:59.000Z

    The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

  9. Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal

    SciTech Connect (OSTI)

    Liu, Hui-Hai; Rutqvist, Jonny; Zheng, Liange; Sonnenthal, Eric; Houseworth, Jim; Birkholzer, Jens

    2010-08-31T23:59:59.000Z

    As a result of the termination of the Yucca Mountain Project, the United States Department of Energy (DOE) has started to explore various alternative avenues for the disposition of used nuclear fuel and nuclear waste. The overall scope of the investigation includes temporary storage, transportation issues, permanent disposal, various nuclear fuel types, processing alternatives, and resulting waste streams. Although geologic disposal is not the only alternative, it is still the leading candidate for permanent disposal. The realm of geologic disposal also offers a range of geologic environments that may be considered, among those clay shale formations. Figure 1-1 presents the distribution of clay/shale formations within the USA. Clay rock/shale has been considered as potential host rock for geological disposal of high-level nuclear waste throughout the world, because of its low permeability, low diffusion coefficient, high retention capacity for radionuclides, and capability to self-seal fractures induced by tunnel excavation. For example, Callovo-Oxfordian argillites at the Bure site, France (Fouche et al., 2004), Toarcian argillites at the Tournemire site, France (Patriarche et al., 2004), Opalinus clay at the Mont Terri site, Switzerland (Meier et al., 2000), and Boom clay at Mol site, Belgium (Barnichon et al., 2005) have all been under intensive scientific investigations (at both field and laboratory scales) for understanding a variety of rock properties and their relations with flow and transport processes associated with geological disposal of nuclear waste. Clay/shale formations may be generally classified as indurated and plastic clays (Tsang et al., 2005). The latter (including Boom clay) is a softer material without high cohesion; its deformation is dominantly plastic. For both clay rocks, coupled thermal, hydrological, mechanical and chemical (THMC) processes are expected to have a significant impact on the long-term safety of a clay repository. For example, the excavation-damaged zone (EDZ) near repository tunnels can modify local permeability (resulting from induced fractures), potentially leading to less confinement capability (Tsang et al., 2005). Because of clay's swelling and shrinkage behavior (depending on whether the clay is in imbibition or drainage processes), fracture properties in the EDZ are quite dynamic and evolve over time as hydromechanical conditions change. To understand and model the coupled processes and their impact on repository performance is critical for the defensible performance assessment of a clay repository. Within the Natural Barrier System (NBS) group of the Used Fuel Disposition (UFD) Campaign at DOE's Office of Nuclear Energy, LBNL's research activities have focused on understanding and modeling such coupled processes. LBNL provided a report in this April on literature survey of studies on coupled processes in clay repositories and identification of technical issues and knowledge gaps (Tsang et al., 2010). This report will document other LBNL research activities within the natural system work package, including the development of constitutive relationships for elastic deformation of clay rock (Section 2), a THM modeling study (Section 3) and a THC modeling study (Section 4). The purpose of the THM and THC modeling studies is to demonstrate the current modeling capabilities in dealing with coupled processes in a potential clay repository. In Section 5, we discuss potential future R&D work based on the identified knowledge gaps. The linkage between these activities and related FEPs is presented in Section 6.

  10. Gaussian Process Model for Collision Dynamics of Complex Molecules

    E-Print Network [OSTI]

    Cui, Jie

    2015-01-01T23:59:59.000Z

    We show that a Gaussian Process model can be combined with a small number of scattering calculations to provide an accurate multi-dimensional dependence of scattering observables on the experimentally controllable parameters (such as the collision energy, temperature or external fields) as well as the potential energy surface parameters. This can be used for solving the inverse scattering problem, the prediction of collision properties of a specific molecular system based on the information for another molecule, the efficient calculation of thermally averaged observables and for reducing the error of the molecular dynamics calculations by averaging over the potential energy surface variations. We show that, trained by a combination of classical and quantum dynamics calculations, the model provides an accurate description of the scattering cross sections, even near scattering resonances. In this case, the classical calculations stabilize the model against uncertainties arising from wildly varying correlations ...

  11. Multiscale/Multiphysics Modeling of Biomass Thermochemical Processes

    SciTech Connect (OSTI)

    Pannala, Sreekanth [ORNL; Simunovic, Srdjan [ORNL; Frantziskonis, G. [University of Arizona

    2010-01-01T23:59:59.000Z

    Computational problems in simulating biomass thermochemical processes involve coupling processes that span several orders of magnitude in space and time. Computational difficulties arise from the multitude of the problem governing equations, each typically applying over a narrow range of spatiotemporal scales, thus making it necessary to represent the processes as the result of the interaction of multiple physics modules, termed here as multiscale/multiphysics (MSMP) coupling. Predictive simulations for such processes require algorithms that can efficiently integrate the underlying MSMP methods across the scales in order to achieve prescribed accuracy and control the computational cost. In addition, MSMP algorithms must scale to one hundred thousand processors or more in order to effectively harness the new computational resources and accelerate the scientific advances. In this chapter, we discuss the state-of-the-art in modeling the macro-scale phenomena in a biomass pyrolysis reactor along with details of the shortcomings and prospects in improving predictability. We also introduce the various multiphysics modules needed to model thermochemical conversion at lower spatiotemporal scales. Furthermore, we illustrate the need for MSMP coupling for thermochemical processes in biomass and provide an overview of the wavelet-based coupling techniques we have developed recently. In particular, we provide details about the compound wavelet matrix (CWM) and the dynamic CWM (dCWM) methods and show they are highly efficient in transferring information among multiphysics models across multiple temporal and spatial scales. The algorithmic gain is in addition to the parallel spatial scalability from traditional domain decomposition methods. The CWM algorithms are serial in time and limited by the smallest-system time-scales. In order to relax this algorithmic constraint, we have recently coupled time parallel (TP) algorithms to CWM, thus yielding a novel approach termed tpCWM. We present preliminary results from the tpCWM technique, indicating that we can accelerate time-to-solution by 2 to 3-orders of magnitude even on 20-processors and this can potentially constitute a new paradigm for MSMP simulations. If such improvements in simulation capability can be generalized, the tpCWM approach can lead the way to predictive simulations of biomass thermochemical processes.

  12. Model and Analytic Processes for Export License Assessments

    SciTech Connect (OSTI)

    Thompson, Sandra E.; Whitney, Paul D.; Weimar, Mark R.; Wood, Thomas W.; Daly, Don S.; Brothers, Alan J.; Sanfilippo, Antonio P.; Cook, Diane; Holder, Larry

    2011-09-29T23:59:59.000Z

    This paper represents the Department of Energy Office of Nonproliferation Research and Development (NA-22) Simulations, Algorithms and Modeling (SAM) Program's first effort to identify and frame analytical methods and tools to aid export control professionals in effectively predicting proliferation intent; a complex, multi-step and multi-agency process. The report focuses on analytical modeling methodologies that alone, or combined, may improve the proliferation export control license approval process. It is a follow-up to an earlier paper describing information sources and environments related to international nuclear technology transfer. This report describes the decision criteria used to evaluate modeling techniques and tools to determine which approaches will be investigated during the final 2 years of the project. The report also details the motivation for why new modeling techniques and tools are needed. The analytical modeling methodologies will enable analysts to evaluate the information environment for relevance to detecting proliferation intent, with specific focus on assessing risks associated with transferring dual-use technologies. Dual-use technologies can be used in both weapons and commercial enterprises. A decision-framework was developed to evaluate which of the different analytical modeling methodologies would be most appropriate conditional on the uniqueness of the approach, data availability, laboratory capabilities, relevance to NA-22 and Office of Arms Control and Nonproliferation (NA-24) research needs and the impact if successful. Modeling methodologies were divided into whether they could help micro-level assessments (e.g., help improve individual license assessments) or macro-level assessment. Macro-level assessment focuses on suppliers, technology, consumers, economies, and proliferation context. Macro-level assessment technologies scored higher in the area of uniqueness because less work has been done at the macro level. An approach to developing testable hypotheses for the macro-level assessment methodologies is provided. The outcome of this works suggests that we should develop a Bayes Net for micro-level analysis and continue to focus on Bayes Net, System Dynamics and Economic Input/Output models for assessing macro-level problems. Simultaneously, we need to develop metrics for assessing intent in export control, including the risks and consequences associated with all aspects of export control.

  13. Efficacy-aware Business Process Modeling Matthias Lohrmann and Manfred Reichert

    E-Print Network [OSTI]

    Ulm, Universität

    Efficacy-aware Business Process Modeling Matthias Lohrmann and Manfred Reichert Ulm University. In business process design, business objective models can ful- fill the role of formal requirement definitions for progressive appli- cations like automated process optimization. Key words: Business Process Modeling

  14. Business Modelling is not Process Modelling Jaap Gordijn12, Hans Akkermans13, and Hans van Vliet1

    E-Print Network [OSTI]

    van Vliet, Hans

    Business Modelling is not Process Modelling Jaap Gordijn12, Hans Akkermans13, and Hans van Vliet1 1 with a design of the e-business model. We often encounter the view, in research as well as industry practice, that an e-business model is similar to a business process model, and so can be specified using UML activity

  15. A Quality Based Approach for the Analysis and Design of Business Process Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Quality Based Approach for the Analysis and Design of Business Process Models Sarah Ayad1 CEDRIC in modeling and improving Business Process (BP) models quality. This problem is of growing interest exploiting domain knowledge. Keywords-component: Business Process Models, Quality metrics, Quality

  16. Model operating permits for natural gas processing plants

    SciTech Connect (OSTI)

    Arend, C. [Hydro-Search, Inc., Houston, TX (United States)

    1995-12-31T23:59:59.000Z

    Major sources as defined in Title V of the Clean Air Act Amendments of 1990 that are required to submit an operating permit application will need to: Evaluate their compliance status; Determine a strategic method of presenting the general and specific conditions of their Model Operating Permit (MOP); Maintain compliance with air quality regulations. A MOP is prepared to assist permitting agencies and affected facilities in the development of operating permits for a specific source category. This paper includes a brief discussion of example permit conditions that may be applicable to various types of Title V sources. A MOP for a generic natural gas processing plant is provided as an example. The MOP should include a general description of the production process and identify emission sources. The two primary elements that comprise a MOP are: Provisions of all existing state and/or local air permits; Identification of general and specific conditions for the Title V permit. The general provisions will include overall compliance with all Clean Air Act Titles. The specific provisions include monitoring, record keeping, and reporting. Although Title V MOPs are prepared on a case-by-case basis, this paper will provide a general guideline of the requirements for preparation of a MOP. Regulatory agencies have indicated that a MOP included in the Title V application will assist in preparation of the final permit provisions, minimize delays in securing a permit, and provide support during the public notification process.

  17. Measurement and modeling of advanced coal conversion processes

    SciTech Connect (OSTI)

    Solomon, P.R.; Serio, M.A.; Hamblen, D.G. (Advanced Fuel Research, Inc., East Hartford, CT (United States)); Smoot, L.D.; Brewster, B.S. (Brigham Young Univ., Provo, UT (United States))

    1992-01-01T23:59:59.000Z

    The overall objective of this program is the development of predictive capability for the design, scale up, simulation, control and feedstock evaluation in advanced coal conversion devices. This technology is important to reduce the technical and economic risks inherent in utilizing coal, a feedstock whose variable and often unexpected behavior presents a significant challenge. This program will merge significant advances made at Advanced Fuel Research, Inc. (AFR) in measuring and quantitatively describing the mechanisms in coal conversion behavior, with technology being developed at Brigham Young University (BYU) in comprehensive computer codes for mechanistic modeling of entrained-bed gasification. Additional capabilities in predicting pollutant formation will be implemented and the technology will be expanded to fixed-bed reactors. The foundation to describe coal-specific conversion behavior is AFR's Functional Group (FG) and Devolatilization, Vaporization and Crosslinking (DVC) models, developed under previous and on-going METC sponsored programs. These models have demonstrated the capability to describe the time dependent evolution of individual gas species, and the amount and characteristics of tar and char. The combined FG-DVC model will be integrated with BYU's comprehensive two-dimensional reactor model, PCGC-2, which is currently the most widely used reactor simulation for combustion or gasification. The program includes: (i) validation of the submodels by comparison with laboratory data obtained in this program, (ii) extensive validation of the modified comprehensive code by comparison of predicted results with data from bench-scale and process scale investigations of gasification, mild gasification and combustion of coal or coal-derived products in heat engines, and (iii) development of well documented user friendly software applicable to a workstation'' environment.

  18. Measurement and modeling of advanced coal conversion processes

    SciTech Connect (OSTI)

    Solomon, P.R.; Serio, M.A.; Hamblen, D.G. (Advanced Fuel Research, Inc., East Hartford, CT (United States)) [Advanced Fuel Research, Inc., East Hartford, CT (United States); Smoot, L.D.; Brewster, B.S. (Brigham Young Univ., Provo, UT (United States)) [Brigham Young Univ., Provo, UT (United States)

    1990-01-01T23:59:59.000Z

    The overall objective of this program is the development of predictive capability for the design, scale up, simulation, control and feedstock evaluation in advanced coal conversion devices. This technology is important to reduce the technical and economic risks inherent in utilizing coal, a feedstock whose variable and often unexpected behavior presents a significant challenge. This program will merge significant advances made at Advanced Fuel Research, Inc. (AFR) in measuring and quantitatively describing the mechanisms in coal conversion behavior, with technology being developed at Brigham Young University (BYU) in comprehensive computer codes for mechanistic modeling of entrained-bed gasification. Additional capabilities in predicting pollutant formation will be implemented and the technology will be expanded to fixed-bed reactors. The foundation to describe coal-specified conversion behavior is ARF's Functional Group (FG) and Devolatilization, Vaporization, and Crosslinking (DVC) models, developed under previous and on-going METC sponsored programs. These models have demonstrated the capability to describe the time dependent evolution of individual gas species, and the amount and characteristics of tar and char. The combined FG-DVC model will be integrated with BYU's comprehensive two-dimensional reactor model, PCGC-2, which is currently the most widely used reactor simulation for combustion or gasification. The program includes: (1) validation of the submodels by comparison with laboratory data obtained in this program, (2) extensive validation of the modified comprehensive code by comparison of predicted results with data from bench-scale and process scale investigations of gasification, mild gasification and combustion of coal or coal-derived products in heat engines, and (3) development of well documented user friendly software applicable to a workstation'' environment.

  19. Statistical Modeling of Marked Point Processes and (Ultra-)High Frequency Data

    E-Print Network [OSTI]

    Wen, Musen

    2010-01-01T23:59:59.000Z

    the ACD model with a GARCH model for prices, Engle [25]these, the Generalized ARCH (GARCH) model by Bollerslev [11]in practice. Definition 3.7 (GARCH(r, s) model) A process {z

  20. A Parallel Training Algorithm for Hierarchical Pitman-Yor Process Language Models 

    E-Print Network [OSTI]

    Huang, Songfang; Renals, Steve

    2009-01-01T23:59:59.000Z

    The Hierarchical Pitman Yor Process Language Model (HPYLM) is a Bayesian language model based on a non-parametric prior, the Pitman-Yor Process. It has been demonstrated, both theoretically and practically, that the HPYLM can provide better...

  1. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, Kevin L. (Los Alamos, NM); Baum, Christopher C. (Mazomanie, WI); Jones, Roger D. (Espanola, NM)

    1997-01-01T23:59:59.000Z

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data.

  2. Air pollution modelling using a graphics processing unit with CUDA

    E-Print Network [OSTI]

    Molnar, Ferenc; Meszaros, Robert; Lagzi, Istvan; 10.1016/j.cpc.2009.09.008

    2010-01-01T23:59:59.000Z

    The Graphics Processing Unit (GPU) is a powerful tool for parallel computing. In the past years the performance and capabilities of GPUs have increased, and the Compute Unified Device Architecture (CUDA) - a parallel computing architecture - has been developed by NVIDIA to utilize this performance in general purpose computations. Here we show for the first time a possible application of GPU for environmental studies serving as a basement for decision making strategies. A stochastic Lagrangian particle model has been developed on CUDA to estimate the transport and the transformation of the radionuclides from a single point source during an accidental release. Our results show that parallel implementation achieves typical acceleration values in the order of 80-120 times compared to CPU using a single-threaded implementation on a 2.33 GHz desktop computer. Only very small differences have been found between the results obtained from GPU and CPU simulations, which are comparable with the effect of stochastic tran...

  3. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, K.L.; Baum, C.C.; Jones, R.D.

    1997-08-19T23:59:59.000Z

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data. 46 figs.

  4. Pajarito Plateau Groundwater Flow and Transport Modeling Process-Level and Systems Models of Groundwater Flow and

    E-Print Network [OSTI]

    Lu, Zhiming

    Pajarito Plateau Groundwater Flow and Transport Modeling 1 Process-Level and Systems Models of Groundwater Flow and Transport Beneath the Pajarito Plateau: Migration of High Explosives from Technical Area Groundwater Modeling Project Systems Model Vadose Zone Model Regional Aquifer Model #12;Pajarito Plateau

  5. Toward a Time-centric modeling of Business Processes in BPMN 2.0

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Toward a Time-centric modeling of Business Processes in BPMN 2.0 Saoussen Cheikhrouhou Re, regulatory, and managerial rules. One of the most promising standards for business process model- ing, namely the Business process Model and notation BPMN poorly addresses the time dimension so far. In this paper, we

  6. A Role-Based Framework for Business Process Modeling Artur Caetano1,2

    E-Print Network [OSTI]

    A Role-Based Framework for Business Process Modeling Artur Caetano1,2 , Marielba Zacarias2 to business process modeling do not separate the collaborative aspects of a business object from its internal increasing the understandability and reusability of business process models. This approach makes use

  7. Business Excellence '03 A Supporting Tool for Business Process Modeling Castela, Tribolet, Guerra, Lopes

    E-Print Network [OSTI]

    Business Excellence '03 A Supporting Tool for Business Process Modeling Castela, Tribolet, Guerra, Lopes A SUPPORTING TOOL FOR BUSINESS PROCESS MODELING Nuno Castela* INESC-CEO / Instituto Politécnico de It is largely recognized that Business Process Modeling it is an increasingly task for nowadays organizations

  8. A Model-driven Approach to Designing Cross-enterprise Business Processes

    E-Print Network [OSTI]

    Bauer, Bernhard

    A Model-driven Approach to Designing Cross- enterprise Business Processes Bernhard Bauer1, Jörg P.p.mueller@siemens.com Abstract. Modeling and managing business processes that span multiple or- ganizations involves new for interoperability. In this paper, we present an approach to modeling cross-enterprise business processes based

  9. A Pattern-based Approach to Business Process Modeling and Implementation in Web Services

    E-Print Network [OSTI]

    Bordbar, Behzad

    A Pattern-based Approach to Business Process Modeling and Implementation in Web Services Steen are used for tool based model transformations of the business processes. To support our approach, we shall effort of different groups of experts; business analysts model the process at a high conceptual level

  10. MODELING RESULTS FROM CESIUM ION EXCHANGE PROCESSING WITH SPHERICAL RESINS

    SciTech Connect (OSTI)

    Nash, C.; Hang, T.; Aleman, S.

    2011-01-03T23:59:59.000Z

    Ion exchange modeling was conducted at the Savannah River National Laboratory to compare the performance of two organic resins in support of Small Column Ion Exchange (SCIX). In-tank ion exchange (IX) columns are being considered for cesium removal at Hanford and the Savannah River Site (SRS). The spherical forms of resorcinol formaldehyde ion exchange resin (sRF) as well as a hypothetical spherical SuperLig{reg_sign} 644 (SL644) are evaluated for decontamination of dissolved saltcake wastes (supernates). Both SuperLig{reg_sign} and resorcinol formaldehyde resin beds can exhibit hydraulic problems in their granular (nonspherical) forms. SRS waste is generally lower in potassium and organic components than Hanford waste. Using VERSE-LC Version 7.8 along with the cesium Freundlich/Langmuir isotherms to simulate the waste decontamination in ion exchange columns, spherical SL644 was found to reduce column cycling by 50% for high-potassium supernates, but sRF performed equally well for the lowest-potassium feeds. Reduced cycling results in reduction of nitric acid (resin elution) and sodium addition (resin regeneration), therefore, significantly reducing life-cycle operational costs. These findings motivate the development of a spherical form of SL644. This work demonstrates the versatility of the ion exchange modeling to study the effects of resin characteristics on processing cycles, rates, and cold chemical consumption. The value of a resin with increased selectivity for cesium over potassium can be assessed for further development.

  11. Application of Gaussian Process Modeling to Analysis of Functional Unreliability

    SciTech Connect (OSTI)

    R. Youngblood

    2014-06-01T23:59:59.000Z

    This paper applies Gaussian Process (GP) modeling to analysis of the functional unreliability of a “passive system.” GPs have been used widely in many ways [1]. The present application uses a GP for emulation of a system simulation code. Such an emulator can be applied in several distinct ways, discussed below. All applications illustrated in this paper have precedents in the literature; the present paper is an application of GP technology to a problem that was originally analyzed [2] using neural networks (NN), and later [3, 4] by a method called “Alternating Conditional Expectations” (ACE). This exercise enables a multifaceted comparison of both the processes and the results. Given knowledge of the range of possible values of key system variables, one could, in principle, quantify functional unreliability by sampling from their joint probability distribution, and performing a system simulation for each sample to determine whether the function succeeded for that particular setting of the variables. Using previously available system simulation codes, such an approach is generally impractical for a plant-scale problem. It has long been recognized, however, that a well-trained code emulator or surrogate could be used in a sampling process to quantify certain performance metrics, even for plant-scale problems. “Response surfaces” were used for this many years ago. But response surfaces are at their best for smoothly varying functions; in regions of parameter space where key system performance metrics may behave in complex ways, or even exhibit discontinuities, response surfaces are not the best available tool. This consideration was one of several that drove the work in [2]. In the present paper, (1) the original quantification of functional unreliability using NN [2], and later ACE [3], is reprised using GP; (2) additional information provided by the GP about uncertainty in the limit surface, generally unavailable in other representations, is discussed; (3) a simple forensic exercise is performed, analogous to the inverse problem of code calibration, but with an accident management spin: given an observation about containment pressure, what can we say about the system variables? References 1. For an introduction to GPs, see (for example) Gaussian Processes for Machine Learning, C. E. Rasmussen and C. K. I. Williams (MIT, 2006). 2. Reliability Quantification of Advanced Reactor Passive Safety Systems, J. J. Vandenkieboom, PhD Thesis (University of Michigan, 1996). 3. Z. Cui, J. C. Lee, J. J. Vandenkieboom, and R. W. Youngblood, “Unreliability Quantification of a Containment Cooling System through ACE and ANN Algorithms,” Trans. Am. Nucl. Soc. 85, 178 (2001). 4. Risk and Safety Analysis of Nuclear Systems, J. C. Lee and N. J. McCormick (Wiley, 2011). See especially §11.2.4.

  12. Enabling a User-Friendly Visualization of Business Process Models

    E-Print Network [OSTI]

    Ulm, Universität

    complex business pro- cesses. Engineering processes in the automotive domain, for example, may comprise processes [1]. Engineering processes in the automotive domain [2], for example, may comprise hundreds engineering process from the automotive domain. Note that the example only serves for illustration purposes

  13. Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic Controlled Variable Selection

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no. 1 (BSM1) and the activated sludge model no. 1 (ASM1). The objective is to search for a control

  14. A Categorization of Collaborative Business Process Modeling Techniques Stephan Roser, Bernhard Bauer

    E-Print Network [OSTI]

    Bauer, Bernhard

    A Categorization of Collaborative Business Process Modeling Techniques Stephan Roser, Bernhard [roser, bauer]@informatik.uni-augsburg.de Abstract Business Process Modeling (BPM) is one of the key a categorization for the classification of modeling languages and ap- proaches used to model collaborative business

  15. Chapter 4: Refrigeration Process Control: Simulation Model 64 44.. RREEFFRRIIGGEERRAATTIIOONN PPRROOCCEESSSS

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Chapter 4: Refrigeration Process Control: Simulation Model 64 44.. RREEFFRRIIGGEERRAATTIIOONN of the simulation model for the two-stage refrigeration system is presented. The model is based on the mathematical, it is #12;Chapter 4: Refrigeration Process Control: Simulation Model 65 translated into FORTRAN or C

  16. Status of Safeguards and Separations Model Development at Plant and Molecular Levels

    SciTech Connect (OSTI)

    de Almeida, Valmor F [ORNL; Hay, Benjamin [ORNL; DePaoli, David W [ORNL

    2009-10-01T23:59:59.000Z

    A primary goal of the Safeguards and Separations IPSC effort is the development of process modeling tools that allow dynamic simulations of separations plant operations under various configurations and conditions, and integration of relevant safeguards analyses. A requirement of the effort is to develop codes on modern, expandable architectures, with flexibility to explore and evaluate a wide range of process options. During FY09, efforts at ORNL have been focused on two priority tasks toward achieving the IPSC goal: (1) a top-down exploration of architecture - Subtask 1: Explore framework for code development and integration for plant-level simulation; and (2) a bottom-up fundamental modeling effort - Subtask 2: Development of molecular-level agent design code. Subtask 1 is important because definition and development of architecture is a key issue for the overall effort, as selection of an overall approach and code/data requirements is a necessary first step in the organization, design and development of separations and safeguards codes that will be incorporated. The agent design effort of Subtask 2 is a molecular-level modeling effort that has a direct impact on a near-term issue of the Separations and Waste Forms Campaign. A current focus of experimental efforts is the development of robust agents and processes for separation of Am/Cm. Development of enhanced agent-design codes will greatly accelerate discovery and experimental testing.

  17. Modeling of Glass Making Processes for Improved Efficiency

    SciTech Connect (OSTI)

    Thomas P. Seward III

    2003-03-31T23:59:59.000Z

    The overall goal of this project was to develop a high-temperature melt properties database with sufficient reliability to allow mathematical modeling of glass melting and forming processes for improved product quality, improved efficiency and lessened environmental impact. It was initiated by the United States glass industry through the NSF Industry/University Center for Glass Research (CGR) at Alfred University [1]. Because of their important commercial value, six different types/families of glass were studied: container, float, fiberglass (E- and wool-types), low-expansion borosilicate, and color TV panel glasses. CGR member companies supplied production-quality glass from all six families upon which we measured, as a function of temperature in the molten state, density, surface tension, viscosity, electrical resistivity, infrared transmittance (to determine high temperature radiative conductivity), non-Newtonian flow behavior, and oxygen partial pres sure. With CGR cost sharing, we also studied gas solubility and diffusivity in each of these glasses. Because knowledge of the compositional dependencies of melt viscosity and electrical resistivity are extremely important for glass melting furnace design and operation, these properties were studied more fully. Composition variations were statistically designed for all six types/families of glass. About 140 different glasses were then melted on a laboratory scale and their viscosity and electrical resistivity measured as a function of temperature. The measurements were completed in February 2003 and are reported on here. The next steps will be (1) to statistically analyze the compositional dependencies of viscosity and electrical resistivity and develop composition-property response surfaces, (2) submit all the data to CGR member companies to evaluate the usefulness in their models, and (3) publish the results in technical journals and most likely in book form.

  18. Representing Cloud Processing of Aerosol in Numerical Models

    SciTech Connect (OSTI)

    Mechem, D.B.; Kogan, Y.L.

    2005-03-18T23:59:59.000Z

    The satellite imagery in Figure 1 provides dramatic examples of how aerosol influences the cloud field. Aerosol from ship exhaust can serve as nucleation centers in otherwise cloud-free regions, forming ship tracks (top image), or can enhance the reflectance/albedo in already cloudy regions. This image is a demonstration of the first indirect effect, in which changes in aerosol modulate cloud droplet radius and concentration, which influences albedo. It is thought that, through the effects it has on precipitation (drizzle), aerosol can also affect the structure and persistence of planetary boundary layer (PBL) clouds. Regions of cellular convection, or open pockets of cloudiness (bottom image) are thought to be remnants of strongly drizzling PBL clouds. Pockets of Open Cloudiness (POCs) (Stevens et al. 2005) or Albrecht's ''rifts'' are low cloud fraction regions characterized by anomalously low aerosol concentrations, implying they result from precipitation. These features may in fact be a demonstration of the second indirect effect. To accurately represent these clouds in numerical models, we have to treat the coupled cloud-aerosol system. We present the following series of mesoscale and large eddy simulation (LES) experiments to evaluate the important aspects of treating the coupled cloud-aerosol problem. 1. Drizzling and nondrizzling simulations demonstrate the effect of drizzle on a mesoscale forecast off the California coast. 2. LES experiments with explicit (bin) microphysics gauge the relative importance of the shape of the aerosol spectrum on the 3D dynamics and cloud structure. 3. Idealized mesoscale model simulations evaluate the relative roles of various processes, sources, and sinks.

  19. RIS-M-2357 MULTILEVEL FLOW MODELLING OF PROCESS

    E-Print Network [OSTI]

    of complex systems. A model of a nuclear power plant (PWR) is presented in the paper for illustration. Due SPECIFICATIONS 19 A MULTILEVEL FLOW MODEL OF A PWR 22 APPLICATIONS OF MULTILEVEL FLOW MODELS 24 ACKNOWLEDGEMENTS

  20. Materials Science & Metallurgy Master of Philosophy, Materials Modelling, Course MP10, Process Modelling, H. K. D. H. Bhadeshia

    E-Print Network [OSTI]

    Cambridge, University of

    Materials Science & Metallurgy Master of Philosophy, Materials Modelling, Course MP10, Process.­E. Svensson. The metallurgy of the welded joint can be categorised into two major regions, the fusion zone

  1. Introduction to Holographic Superconductor Models

    E-Print Network [OSTI]

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

    2015-05-07T23:59:59.000Z

    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.

  2. 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.

  3. 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.

  4. 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.

  5. Modeling a Dry Etch Process for Large-Area Devices

    SciTech Connect (OSTI)

    Buss, R.J.; Hebner, G.A.; Ruby, D.S.; Yang, P.

    1999-07-28T23:59:59.000Z

    There has been considerable interest in developing dry processes which can effectively replace wet processing in the manufacture of large area photovoltaic devices. Environmental and health issues are a driver for this activity because wet processes generally increase worker exposure to toxic and hazardous chemicals and generate large volumes of liquid hazardous waste. Our work has been directed toward improving the performance of screen-printed solar cells while using plasma processing to reduce hazardous chemical usage.

  6. Paper Number -1-Simulation model of dispersions in turning process

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -francois.rigal@insa-lyon.fr Abstract: To control and to optimise the product/process pair, manufacturing companies are more and more production from the design to the manufacturing process. The control of geometrical specifications inside important aim of the virtual or numerical simulation of process planning is to study and take into account

  7. Study of the digital camera acquisition process and statistical modeling of the sensor raw data

    E-Print Network [OSTI]

    Study of the digital camera acquisition process and statistical modeling of the sensor raw data C. In the present report we present a detailed analysis of the digital image acquisition process which allows us. Aguerrebere, J. Delon, Y. Gousseau, P. Mus´e 1 Introduction The accurate modeling of the acquisition process

  8. Thermodynamics and kinetics of competing aggregation processes in a simple model system

    E-Print Network [OSTI]

    Berry, R. Stephen

    Thermodynamics and kinetics of competing aggregation processes in a simple model system Ambarish 8 November 2007 A simple model system has been used to develop thermodynamics and kinetics for bulk and thermodynamics of the processes and to infer the conditions in which one process dominates another, in the high

  9. FTT:Power : A global model of the power sector with induced technological change and natural resource depletion

    E-Print Network [OSTI]

    Mercure, J -F

    2012-01-01T23:59:59.000Z

    This work introduces a model of Future Technology Transformations for the power sector (FTT:Power), a representation of global power systems based on market competition, induced technological change (ITC) and natural resource use and depletion. It is the first component of a family of sectoral bottom-up models of technology, designed for integration into the global macroeconometric model E3MG. ITC occurs as a result of technological learning produced by cumulative investment and leads to highly nonlinear, irreversible and path dependent technological transitions. The model uses a dynamic coupled set of logistic differential equations. As opposed to traditional bottom-up energy models based on systems optimisation, such differential equations offer an appropriate treatment of the times and structure of change involved in sectoral technology transformations, as well as a much reduced computational load. Resource use and depletion are represented by local cost-supply curves, which give rise to different regional...

  10. Summer school MOVEP 2002 MOdelling and VErification of parallel Processes

    E-Print Network [OSTI]

    Ryan, Mark

    checking and program analysis", Markus Mueller-Olm (University of Dortmund) 2. "Model checking infinite

  11. Adaptive design of cross-organizational business processes using a model-driven architecture

    E-Print Network [OSTI]

    Bauer, Bernhard

    Adaptive design of cross-organizational business processes using a model-driven architecture, methodologies, methods, and infrastructures to support end-to-end modeling of cross-organizational business: First, we present a conceptual architecture for modeling collaborative business processes based

  12. HYDROLOGICAL PROCESSES, VOL. 6, 369-395 (1992) STOCHASTIC MODELLING OF GROUNDWATER FLOW AND

    E-Print Network [OSTI]

    modelling Groundwater flow Solute transport INTRODUCTION Predicting any natural process is a very difficultHYDROLOGICAL PROCESSES, VOL. 6, 369-395 (1992) STOCHASTIC MODELLING OF GROUNDWATER FLOW AND SOLUTE MODELLING Scales of heterogeneity, REV, dispersion and measurement scale groundwater flow and convection

  13. Process-Based Cost Modeling to Support Target Value Design

    E-Print Network [OSTI]

    Nguyen, Hung Viet

    2010-01-01T23:59:59.000Z

    S. (2002). “Construction Cost Data Workbook. ” Conference onas well as process- and cost data. Figure D.2 Product modelscollecting construction cost data, the cost of an installed

  14. A stochastic model dissects cell states in biological transition processes

    E-Print Network [OSTI]

    Armond, Jonathan W.

    Many biological processes, including differentiation, reprogramming, and disease transformations, involve transitions of cells through distinct states. Direct, unbiased investigation of cell states and their transitions ...

  15. Parallel Simulation for a Fish Schooling Model on a General-Purpose Graphics Processing Unit

    E-Print Network [OSTI]

    Li, Hong; Kolpas, Allison; Petzold, Linda; Moehlis, J

    2009-01-01T23:59:59.000Z

    Model on a General-Purpose Graphics Processing Unit Hong LiThe current generation of graphics processing units is well-we will describe how a Graphics Pro- cessor Unit (GPU) can

  16. Robust design of control charts for autocorrelated processes with model uncertainty

    E-Print Network [OSTI]

    Lee, Hyun Cheol

    2005-11-01T23:59:59.000Z

    Statistical process control (SPC) procedures suitable for autocorrelated processes have been extensively investigated in recent years. The most popular method is the residual-based control chart. To implement this method, a time series model, which...

  17. Coarse-scale Modeling of Flow in Gas-injection Processes for Enhanced Oil Recovery

    E-Print Network [OSTI]

    Lambers, James

    Coarse-scale Modeling of Flow in Gas-injection Processes for Enhanced Oil Recovery James V. Lambers of gas-injection processes for enhanced oil recovery may exhibit geometrically complex features

  18. Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal

    E-Print Network [OSTI]

    Liu, Hui-Hai

    2010-01-01T23:59:59.000Z

    International Workshop on Geomechanics, hydromechanical andflow, heat transport and geomechanics, by linking the twotransport modeling and geomechanics using the reactive

  19. Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal

    E-Print Network [OSTI]

    Liu, Hui-Hai

    2010-01-01T23:59:59.000Z

    and the future path of diagenesis have important effects onthe basic basin model for diagenesis. Therefore, some method

  20. A Human Performance Modeling System for Process Safety Operations

    E-Print Network [OSTI]

    Harputlu, Emrah 1986-

    2013-01-02T23:59:59.000Z

    Operators have a crucial role in case of an emergency in a process facility. When an abnormality occurs in the process, the operator has a limited time to take corrective actions before system safety devices shut down the operation. It is crucial...

  1. Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Polyether polyol process description Key ingredients Epoxides (ethylene oxide (EO), propylene oxide (PO)) OO Polyether polyol process description Key ingredients Epoxides (ethylene oxide (EO), propylene oxide (PO)) OO, m 0) Gn + Rm ke ---- ke Dn + Qm (n, m 0) Material Starter Propylene glycol (PG) Water Catalyst KOH

  2. Review of Optimization Models for Integrated Process Water Networks and their Application to Biofuel Processes

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    to Biofuel Processes Ignacio E. Grossmann1, Mariano Martín2 and Linlin Yang1 1Department Chemical Engineering of these techniques to biofuel plants, which are known to consume large amounts of water. Introduction. Although water stress [1]. Since chemical, petroleum, and especially biofuel processes consume significant amounts

  3. Dynamic risk adjustment of prediction models using statistical process control methods

    E-Print Network [OSTI]

    Chuo, John, 1969-

    2004-01-01T23:59:59.000Z

    Introduction. Models that represent mathematical relationships between clinical outcomes and their predictors are useful to the decision making process in patient care. Many models, such as the score of neonatal physiology ...

  4. Unified Resource Modelling: Integrating knowledge into business processes

    E-Print Network [OSTI]

    regardless of their specific manifestation. Resource Business Process Service Contract Characteristic 1 of the performance of a quantifiable service. Contract involves one or more services that a resource offers

  5. Online Modeling in the Process Industry for Energy Optimization 

    E-Print Network [OSTI]

    Alexander, J.

    1988-01-01T23:59:59.000Z

    and electricity. It further discusses the methods of providing this energy for refineries, petrochemical plants, and other processing plants - chemical, paper, and metal. A typical system flow diagram is used to highlight the energy system network and describe...

  6. Coupled process modelling with applications to radionuclide storage and disposal 

    E-Print Network [OSTI]

    English, Myles

    2013-11-28T23:59:59.000Z

    Radioactive waste repositories, designed in accordance with the current UK concept, would be required to provide containment for thousands of years beneath hundreds of metres of rock. The physical processes, both geological ...

  7. Robust model-based fault diagnosis for chemical process systems

    E-Print Network [OSTI]

    Rajaraman, Srinivasan

    2006-08-16T23:59:59.000Z

    Fault detection and diagnosis have gained central importance in the chemical process industries over the past decade. This is due to several reasons, one of them being that copious amount of data is available from a large number of sensors...

  8. Collaborative Product and Process Model: Multiple Viewpoints Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , product information, process information, product lifecycle management 1 Introduction In today lifecycle management becomes much more important. Product Lifecycle Management (PLM) is a strategic business related to product lifecycle. This kind of collaboration depends on exchanging and sharing adequate

  9. Multiscale Modeling of Process Dynamics and Microstructure Development...

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

    of Process Dynamics and Microstructure Development in Laser-based Keyhole Welding and Additive Manufacturing Jun 05 2015 10:00 AM - 11:00 AM Wenda Tan, University of Utah, Salt...

  10. Robust model-based fault diagnosis for chemical process systems 

    E-Print Network [OSTI]

    Rajaraman, Srinivasan

    2006-08-16T23:59:59.000Z

    Fault detection and diagnosis have gained central importance in the chemical process industries over the past decade. This is due to several reasons, one of them being that copious amount of data is available from a large ...

  11. On approximating the stochastic behaviour of Markovian process algebra models 

    E-Print Network [OSTI]

    Milios, Dimitrios

    2014-06-27T23:59:59.000Z

    Markov chains offer a rigorous mathematical framework to describe systems that exhibit stochastic behaviour, as they are supported by a plethora of methodologies to analyse their properties. Stochastic process algebras ...

  12. Dynamic model and control of the injection molding process

    E-Print Network [OSTI]

    Gardner, Anthony Nickolas

    1970-01-01T23:59:59.000Z

    HOLDING PROCESS I. INTRODUCTION One widely used technique for forming raw polymer materials into finished parts, is the injection molding process, In a normal operation sequence the equipment intakes a small volume of plastic pellets and heats them... volume of plastic pellets, heat them till they form a viscous liquid mass, and then ram them into the mold under high pressures. Nest modern injection molding machines employ a screw-ram device enclosed in a barrel for the injector mechanism. In a...

  13. Hybrid models for the simulation of microstructural evolution influenced by coupled, multiple physical processes.

    SciTech Connect (OSTI)

    Tikare, Veena; Hernandez-Rivera, Efrain; Madison, Jonathan D.; Holm, Elizabeth Ann [Carnegie Mellon University, Pittsburgh, PA; Patterson, Burton R. [University of Florida, Gainesville, FL; Homer, Eric R. [Brigham Young University, Provo, UT

    2013-09-01T23:59:59.000Z

    Most materials microstructural evolution processes progress with multiple processes occurring simultaneously. In this work, we have concentrated on the processes that are active in nuclear materials, in particular, nuclear fuels. These processes are coarsening, nucleation, differential diffusion, phase transformation, radiation-induced defect formation and swelling, often with temperature gradients present. All these couple and contribute to evolution that is unique to nuclear fuels and materials. Hybrid model that combines elements from the Potts Monte Carlo, phase-field models and others have been developed to address these multiple physical processes. These models are described and applied to several processes in this report. An important feature of the models developed are that they are coded as applications within SPPARKS, a Sandiadeveloped framework for simulation at the mesoscale of microstructural evolution processes by kinetic Monte Carlo methods. This makes these codes readily accessible and adaptable for future applications.

  14. Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models

    E-Print Network [OSTI]

    Gordon, Geoffrey J.

    different numbers and types of underlying mental processes. We describe the HPM framework and its learning algorithm to train HPMs from fMRI data, and an inference algorithm that applies an HPM to infer the probable identities and start times of processes to explain additional observed data. The HPM learning algorithm

  15. Architectural Improvements and New Processing Tools for the Open XAL Online Model

    SciTech Connect (OSTI)

    Allen, Christopher K [ORNL; Pelaia II, Tom [ORNL; Freed, Jonathan M [ORNL

    2015-01-01T23:59:59.000Z

    The online model is the component of Open XAL providing accelerator modeling, simulation, and dynamic synchronization to live hardware. Significant architectural changes and feature additions have been recently made in two separate areas: 1) the managing and processing of simulation data, and 2) the modeling of RF cavities. Simulation data and data processing have been completely decoupled. A single class manages all simulation data while standard tools were developed for processing the simulation results. RF accelerating cavities are now modeled as composite structures where parameter and dynamics computations are distributed. The beam and hardware models both maintain their relative phase information, which allows for dynamic phase slip and elapsed time computation.

  16. Thermodynamic modeling of CatLiq biomass conversion process

    E-Print Network [OSTI]

    Toor, Saqib

    with fixed-bed reactor. Results Aim Measurement and Prediction of bubble point pressures of selected model Reactor Trimheater Pressure reduction Separator Circulation pump Thermodynamic model The results were. The proposed algorithm for bubble pressure calculation Yes No No Yes Specify liquid mole fraction xi

  17. Gaussian Process Modeling and Computation in Engineering Applications

    E-Print Network [OSTI]

    Pourhabib, Arash

    2014-07-08T23:59:59.000Z

    ; and predictive modeling for large datasets. First, we develop a spatial-temporal model for local wind fields in a wind farm with more than 200 wind turbines. Our framework utilizes the correlation among the derivatives of wind speeds to find a neighborhood...

  18. Multiscale modeling of exocytosis in the fertilization process

    E-Print Network [OSTI]

    Aldo Ledesma Duran; I. Santamaria-Holek

    2015-02-23T23:59:59.000Z

    We discuss the implementation of a multiscale biophysico-chemical model able to cope with the main mechanisms underlying cumulative exocytosis in cells. The model is based on a diffusion equation in the presence of external forces that links calcium signaling and the biochemistry associated to the activity of cytoskeletal-based protein motors. This multiscale model offers an excellent quantitative spatio-temporal description of the cumulative exocytosis measured by means of fluorescence experiments. We also review pre-existing models reported in the literature on calcium waves, protein motor activation and dynamics, and intracellular directed transport of vesicles. As an example of the proposed model, we analyze the formation of the shield against polyspermy in the early events of fertilization in sea urchin eggs.

  19. An Ontological Approach to Business Process Modeling Antonio De Nicola, Mario Lezoche, Michele Missikoff

    E-Print Network [OSTI]

    Boyer, Edmond

    An Ontological Approach to Business Process Modeling Antonio De Nicola, Mario Lezoche, Michele.g., by using BPEL.) Despite both are aiming at BP modelling, the methods used by business people modelling method that is emerging in the business world. The modelling categories of BPAL are based on well

  20. From Economic Drivers to B2B Process Models: a Mapping from REA to UMM

    E-Print Network [OSTI]

    of the business network. We propose to use business modeling techniques - such as REA (Resource of the most prominent ontologies for business modeling, to UMM (UN/CEFACT's Modeling Methodology), a standardized methodology for modeling the global choreography of inter- organizational business processes. We

  1. Generation of Component Based Architecture from Business Processes: Model Driven Engineering for SOA

    E-Print Network [OSTI]

    Boyer, Edmond

    Generation of Component Based Architecture from Business Processes: Model Driven Engineering-running business service composition models drive their supporting service implementation models. To progress organiza- tions must reflect evolutions in their existing business pro- cess models, the IT must also adapt

  2. Study on an Information Processing Model with Psychological Memory for a Kansei Robot

    E-Print Network [OSTI]

    Boyer, Edmond

    robot. This model handles memory based on human psychology. We expect that on incorporating the model, a robot can exhibit human characteristics because of using psychological memory. To verify the model, we of the model are similar to the human memory functions. Second, we conduct the process of learning movement

  3. Measurement and modeling of advanced coal conversion processes, Volume II

    SciTech Connect (OSTI)

    Solomon, P.R.; Serio, M.A.; Hamblen, D.G. [and others

    1993-06-01T23:59:59.000Z

    A two dimensional, steady-state model for describing a variety of reactive and nonreactive flows, including pulverized coal combustion and gasification, is presented. The model, referred to as 93-PCGC-2 is applicable to cylindrical, axi-symmetric systems. Turbulence is accounted for in both the fluid mechanics equations and the combustion scheme. Radiation from gases, walls, and particles is taken into account using a discrete ordinates method. The particle phase is modeled in a lagrangian framework, such that mean paths of particle groups are followed. A new coal-general devolatilization submodel (FG-DVC) with coal swelling and char reactivity submodels has been added.

  4. Modeling of a continuous food process with neural networks 

    E-Print Network [OSTI]

    Bullock, David Cole

    1995-01-01T23:59:59.000Z

    Three neural networks were constructed and trained to provide both next step prediction and multi-step prediction of a snack food continuous frying operation. The three neural models were a feedforward sigmoidal network ...

  5. Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes

    E-Print Network [OSTI]

    Quick, Harrison; Banerjee, Sudipto; Carlin, Bradley P.

    2015-01-01T23:59:59.000Z

    form for total air pollution measurements. Computationalanalysis of the California air pollution data, supplying theair quality warnings, public health officials rely on statistical models to predict each day’s pollution

  6. Modeling of a continuous food process with neural networks

    E-Print Network [OSTI]

    Bullock, David Cole

    1995-01-01T23:59:59.000Z

    Three neural networks were constructed and trained to provide both next step prediction and multi-step prediction of a snack food continuous frying operation. The three neural models were a feedforward sigmoidal network (FFN), a radial basis...

  7. Modeling the chemical, diffusional, and thermal processes of a microreactor

    E-Print Network [OSTI]

    Silva, James Emanuel

    2012-01-01T23:59:59.000Z

    This thesis seeks to create a high fidelity model of the multiphysics present in a typical microreactor using propane combustion as a fuel source. The system is fully described by energy, momentum, and mass equations, all ...

  8. Author's personal copy Modelling and automation of water and wastewater treatment processes

    E-Print Network [OSTI]

    Author's personal copy Preface Modelling and automation of water and wastewater treatment processes on the applications of modelling and automation to water and wastewater treatment processes. The session, under their profession, with automation figuring prominently among the new disciplines required to improve

  9. Modeling ofHybrid (Heat Radiation and Microwave) High Temperature Processing ofLimestone

    E-Print Network [OSTI]

    Yakovlev, Vadim

    Modeling ofHybrid (Heat Radiation and Microwave) High Temperature Processing ofLimestone Shawn M (electromagnetic and thermal) modeling to cover practically valuable scenarios of hybrid (heat radiation is applied to the process of hybrid heating of cylindrical samples of limestone in Ceralink's MAT TM kiln

  10. Modeling of the oxygen transfer in the respiratory process Sebastien Martin

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    in the acinar periphery. Introduction The respiratory system is designed to achieve two main functions: oxygenModeling of the oxygen transfer in the respiratory process S´ebastien Martin Laboratoire de Math, coupled with a lumped mechanical model for the ventilation process. Objectives. We aim at investigating

  11. Welding processes in volcanology: insights from field, experimental, and modeling studies

    E-Print Network [OSTI]

    Russell, Kelly

    Welding processes in volcanology: insights from field, experimental, and modeling studies Anita This volume is a collection of ten papers largely derived from a special session, Welding Processes, experimental, and modeling studies. We briefly review advances in understanding welding as represented

  12. Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process

    E-Print Network [OSTI]

    Gilmore, Stephen

    Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process algebra) on the Extracellular signal Regulated Kinase (ERK) signalling pathway [1] through modelling in a Markovian process choices. The system which we consider is the Ras/Raf-1/MEK/ERK signalling path- way, as presented in [1

  13. Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process

    E-Print Network [OSTI]

    Calder, Muffy

    Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process algebra Regulated Kinase (ERK) signalling pathway [5] through modelling in a Markovian process algebra, PEPA [11 durations and probabilistic choices. The system which we consider is the Ras/Raf-1/MEK/ERK signalling

  14. Formal Modeling and Evaluation of Stateful Service-based Business Process Elasticity in the

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Formal Modeling and Evaluation of Stateful Service-based Business Process Elasticity in the Cloud Based on the pay-as-you-go business principle, the Cloud computing is a new model for provisioning are being increasingly used for deploy- ing and executing business processes and particularly Service

  15. Amoeba: A Methodology for Modeling and Evolution of Cross-Organizational Business Processes

    E-Print Network [OSTI]

    Young, R. Michael

    Amoeba: A Methodology for Modeling and Evolution of Cross-Organizational Business Processes Nirmit business process modeling ap- proaches handle such changes in an ad hoc manner, and lack a principled means University Raleigh, NC 27695-8206 {nvdesai, akchopra, singh}@ncsu.edu May 13, 2008 Abstract Business service

  16. Chapter 3: Refrigeration Process Control: Case Study Model 42 33.. RREEFFRRIIGGEERRAATTIIOONN PPRROOCCEESSSS

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Chapter 3: Refrigeration Process Control: Case Study Model 42 33.. RREEFFRRIIGGEERRAATTIIOONN-stage refrigeration system case study. It describes in detail the mathematical model developed, highlighting.1. PROCESS DESCRIPTION The cycle considered here is a two-stage side-load refrigeration unit with propylene

  17. ME 507 Process Modelling and Control Spring 2012

    E-Print Network [OSTI]

    systems for both classical and some modern approach Feedback Control Systems, Phillips & Harbor, Prentice an integrated study of physical system dynamics, control concepts, and process design. The goal is to deepen the system design and adding closed loop control. Case studies are used to examine the opportunities

  18. ME 507 Process Modelling and Control Spring 2011

    E-Print Network [OSTI]

    systems for both classical and some modern approach Feedback Control Systems, Phillips & Harbor, Prentice an integrated study of physical system dynamics, control concepts, and process design. The goal is to deepen the system design and adding closed loop control. Case studies are used to examine the opportunities

  19. ME 507 Process Modelling and Control Spring 2013

    E-Print Network [OSTI]

    systems for both classical and some modern approach Feedback Control Systems, Phillips & Harbor, Prentice an integrated study of physical system dynamics, control concepts, and process design. The goal is to deepen the system design and adding closed loop control. Case studies are used to examine the opportunities

  20. Using Component-oriented Process Models for Multi-Metamodel Applications

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    coherence amongst the model driven development paradigm, software development lifecycles and software (MDE) call for the corresponding software development processes. These processes need to be able that software development processes are meant to be sequenced along their intrinsic factors. In this paper, we

  1. Model-based Processing of Microcantilever Sensor Arrays

    SciTech Connect (OSTI)

    Tringe, J W; Clague, D S; Candy, J V; Sinensky, A K; Lee, C L; Rudd, R E; Burnham, A K

    2005-04-27T23:59:59.000Z

    We have developed a model-based processor (MBP) for a microcantilever-array sensor to detect target species in solution. We perform a proof-of-concept experiment, fit model parameters to the measured data and use them to develop a Gauss-Markov simulation. We then investigate two cases of interest, averaged deflection data and multi-channel data. For this evaluation we extract model parameters via a model-based estimation, perform a Gauss-Markov simulation, design the optimal MBP and apply it to measured experimental data. The performance of the MBP in the multi-channel case is evaluated by comparison to a ''smoother'' (averager) typically used for microcantilever signal analysis. It is shown that the MBP not only provides a significant gain ({approx} 80dB) in signal-to-noise ratio (SNR), but also consistently outperforms the smoother by 40-60 dB. Finally, we apply the processor to the smoothed experimental data and demonstrate its capability for chemical detection. The MBP performs quite well, apart from a correctable systematic bias error.

  2. Neural Networks for Post-processing Model Output: Caren Marzban

    E-Print Network [OSTI]

    Marzban, Caren

    variables to the neural network are: Forecast hour, model forecast temperature, relative humidity, wind direction and speed, mean sea level pressure, cloud cover, and precipitation rate and amount. The single to being able to approximate a large class of functions, they are less inclined to overfit data than some

  3. Exascale Co-design for Modeling Materials in Extreme Environments

    SciTech Connect (OSTI)

    Germann, Timothy C. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2014-07-08T23:59:59.000Z

    Computational materials science has provided great insight into the response of materials under extreme conditions that are difficult to probe experimentally. For example, shock-induced plasticity and phase transformation processes in single-crystal and nanocrystalline metals have been widely studied via large-scale molecular dynamics simulations, and many of these predictions are beginning to be tested at advanced 4th generation light sources such as the Advanced Photon Source (APS) and Linac Coherent Light Source (LCLS). I will describe our simulation predictions and their recent verification at LCLS, outstanding challenges in modeling the response of materials to extreme mechanical and radiation environments, and our efforts to tackle these as part of the multi-institutional, multi-disciplinary Exascale Co-design Center for Materials in Extreme Environments (ExMatEx). ExMatEx has initiated an early and deep collaboration between domain (computational materials) scientists, applied mathematicians, computer scientists, and hardware architects, in order to establish the relationships between algorithms, software stacks, and architectures needed to enable exascale-ready materials science application codes within the next decade. We anticipate that we will be able to exploit hierarchical, heterogeneous architectures to achieve more realistic large-scale simulations with adaptive physics refinement, and are using tractable application scale-bridging proxy application testbeds to assess new approaches and requirements. Such current scale-bridging strategies accumulate (or recompute) a distributed response database from fine-scale calculations, in a top-down rather than bottom-up multiscale approach.

  4. Process-scale modeling of elevated wintertime ozone in Wyoming.

    SciTech Connect (OSTI)

    Kotamarthi, V. R.; Holdridge, D. J.; Environmental Science Division

    2007-12-31T23:59:59.000Z

    Measurements of meteorological variables and trace gas concentrations, provided by the Wyoming Department of Environmental Quality for Daniel, Jonah, and Boulder Counties in the state of Wyoming, were analyzed for this project. The data indicate that highest ozone concentrations were observed at temperatures of -10 C to 0 C, at low wind speeds of about 5 mph. The median values for nitrogen oxides (NOx) during these episodes ranged between 10 ppbv and 20 ppbv (parts per billion by volume). Measurements of volatile organic compounds (VOCs) during these periods were insufficient for quantitative analysis. The few available VOCs measurements indicated unusually high levels of alkanes and aromatics and low levels of alkenes. In addition, the column ozone concentration during one of the high-ozone episodes was low, on the order of 250 DU (Dobson unit) as compared to a normal column ozone concentration of approximately 300-325 DU during spring for this region. Analysis of this observation was outside the scope of this project. The data analysis reported here was used to establish criteria for making a large number of sensitivity calculations through use of a box photochemical model. Two different VOCs lumping schemes, RACM and SAPRC-98, were used for the calculations. Calculations based on this data analysis indicated that the ozone mixing ratios are sensitive to (a) surface albedo, (b) column ozone, (c) NOx mixing ratios, and (d) available terminal olefins. The RACM model showed a large response to an increase in lumped species containing propane that was not reproduced by the SAPRC scheme, which models propane as a nearly independent species. The rest of the VOCs produced similar changes in ozone in both schemes. In general, if one assumes that measured VOCs are fairly representative of the conditions at these locations, sufficient precursors might be available to produce ozone in the range of 60-80 ppbv under the conditions modeled.

  5. A methodology for simultaneous modeling and control of chemical processes

    E-Print Network [OSTI]

    Zeng, Tong

    1995-01-01T23:59:59.000Z

    at different Kd, initial system output value = 0. 17 A slowly drifting parameter . 18 Parameter estimation with one parameter slowly drifting, with different relay step sizes and initial system output value = -6. . . . 19 Parameter estimation with one... and disturbance Kd = 0. 4. . . . . . , . . . . . . . Error between the system and the model with a slowly drifting parameter and different disturbance gams. . . . The parameters of the tuning controller PID parameters . . Page 42 48 49 62 CHAPTER I...

  6. Emissions model of waste treatment operations at the Idaho Chemical Processing Plant

    SciTech Connect (OSTI)

    Schindler, R.E.

    1995-03-01T23:59:59.000Z

    An integrated model of the waste treatment systems at the Idaho Chemical Processing Plant (ICPP) was developed using a commercially-available process simulation software (ASPEN Plus) to calculate atmospheric emissions of hazardous chemicals for use in an application for an environmental permit to operate (PTO). The processes covered by the model are the Process Equipment Waste evaporator, High Level Liquid Waste evaporator, New Waste Calcining Facility and Liquid Effluent Treatment and Disposal facility. The processes are described along with the model and its assumptions. The model calculates emissions of NO{sub x}, CO, volatile acids, hazardous metals, and organic chemicals. Some calculated relative emissions are summarized and insights on building simulations are discussed.

  7. Modeling of ecosystem processes on the Oregon shelf during the 2001 summer upwelling

    E-Print Network [OSTI]

    Gan, Jian-Ping

    Modeling of ecosystem processes on the Oregon shelf during the 2001 summer upwelling Y. H. Spitz 2005; accepted 19 August 2005; published 22 October 2005. [1] Three-dimensional ecosystem response-based ecosystem model coupled to a high-resolution circulation model. We investigate, in particular, the influence

  8. Attribute-based Mining Process for the Organization-Based Access Control Model

    E-Print Network [OSTI]

    Garcia-Alfaro, Joaquin

    to analyze and evaluate the access control systems. A model is a formal presentation of the security policyAttribute-based Mining Process for the Organization-Based Access Control Model Ahmad Samer Wazan}@telecom-sudparis.eu Abstract--Since the late 60's, different security access control models have been proposed. Their rationale

  9. Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant

    E-Print Network [OSTI]

    Kusiak, Andrew

    ; Energy consumption; Data collection; Neural networks; Dynamic models; Statics; Water treatment plants. Author keywords: Wastewater pump models; Energy consumption; Pump energy; Data mining; Head influenceModels for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant Zijun Zhang

  10. A Decentralized Broker Architecture for Collaborative Business Process Modelling and Enactment

    E-Print Network [OSTI]

    Bauer, Bernhard

    of Computer Science, University of Augsburg, D-86135 Augsburg, [bauer|roser]@ds-lab.org 2 Siemens AG Corporate Technology, CT IC 6, D-81730 München, joerg.p.mueller@siemens.com Keywords: Business process modelling, model model transformations and refinements. The main objective of our research is to develop architectures

  11. Modeling of batch operations in the Defense Waste Processing Facility at the Savannah River Site

    SciTech Connect (OSTI)

    Smith, F.G.

    1995-02-01T23:59:59.000Z

    A computer model is in development to provide a dynamic simulation of batch operations within the Defense Waste Processing Facility (DWPF) at the Savannah River Site (SRS). The DWPF will chemically treat high level waste materials from the site tank farm and vitrify the resulting slurry into a borosilicate glass for permanent disposal. The DWPF consists of three major processing areas: Salt Processing Cell (SPC), Chemical Processing Cell (CPC) and the Melt Cell. Separate models have been developed for each of these process units using the SPEEDUP{trademark} software from Aspen Technology. Except for glass production in the Melt Cell, all of the chemical operations within DWPF are batch processes. Since the SPEEDUP software is designed for dynamic modeling of continuous processes, considerable effort was required to devise batch process algorithms. This effort was successful and the models are able to simulate batch operations and the dynamic behavior of the process. In this paper, we will describe the SPC model in some detail and present preliminary results from a few simulation studies.

  12. Gluon Fusion Processes at One-loop within the Standard Model and Beyond

    E-Print Network [OSTI]

    Ambresh Shivaji

    2013-05-21T23:59:59.000Z

    In this thesis, we have studied certain gluon fusion processes which proceed via quark loop diagrams at the leading order. The fact that these gluon-gluon channel processes are independent processes, their contributions towards the total/differential hadronic cross sections can be calculated separately. We have considered the production of a pair of electroweak vector bosons in association with a jet via gluon fusion within the standard model. These processes were not accessible at earlier hadron colliders such as the Tevatron. Therefore, observation of these rare processes at the LHC will be a test of the standard model itself. Like the di-vector boson production via gluon fusion processes, these processes are also important backgrounds for many new physics signals, and the standard model Higgs boson signal at the LHC. These leading order gluon fusion processes contribute to the corresponding hadronic processes at the next-to-next-to-leading order in {\\alpha}_s. We have taken a model of extra-dimensions, the ADD (Arkani-Hamed, Dimopoulos and Dvali) model, as the possible candidate of new physics at the LHC. This model tries to solve the hierarchy problem of the standard model by proposing large extra space dimensions which may be accessible at TeV scale. We have considered the direct production of KK-gravitons (GKK) in association with an electroweak boson (H/{\\gamma}/Z) via gluon fusion. These processes contribute to the corresponding hadronic processes at the next-to-leading order in {\\alpha}_s. Many interesting issues related to the fermion loop amplitudes have also been discussed.

  13. Stochastic model of the electrodeposition process in systems with moving multielement electrodes

    SciTech Connect (OSTI)

    Kaidrikov, R.A.; Gudin, N.V.; Nuriev, N.K.; Zhuravlev, B.L.; Zil'berg, A.I.

    1988-07-01T23:59:59.000Z

    A stochastic model was constructed in this work to reflect the random nature of the electrodeposition process in systems with moving multielement electrodes. The effect of such parameters as the electrolysis time, the current distribution inside the electrode, the current density, and the loading volume of the drum on the variance of the coating thickness was analyzed. The proposed model reflects the process of electrodeposition on the qualitative level and can be examined as a basis for developing stochastic models of evaluating the parameters of these processes. Data for nickel and zinc plating are given.

  14. Two Paths to Transforming Markets through Public Sector Energy Efficiency: Bottom Up versus Top Down

    E-Print Network [OSTI]

    Van Wie McGrory, Laura; Coleman, Philip; Fridley, David; Harris, Jeffrey; Villasenor Franco, Edgar

    2006-01-01T23:59:59.000Z

    public sector buildings in four provinces to develop a baseline of equipment usage and energy consumption;

  15. Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    (Hansen et al., 2005), and material and energy flows such as carbon sequestration (Pickett et al., 2001

  16. Two Paths to Transforming Markets through Public Sector Energy Efficiency: Bottom Up versus Top Down

    E-Print Network [OSTI]

    agencies, reduced demand on capacity-constrained electric utility systems, increased energy system energy-efficiency strategies in the public sector. Several years of pursuing a top-down (federally led federal government is leading to an intergovernmental initiative with strong support at the federal level

  17. Bottom-Up Self-Organization of Unpredictable Demand and Supply under Decentralized Power Management

    E-Print Network [OSTI]

    Wedde, Horst F.

    level of granularity, with short-term power balance fluctuation, in terms of a peak demand and supply, distributed power production at lower voltage levels (through wind turbines or solar panels) is considered, as this depends on external environmental conditions (e.g. solar and wind power). In Electrical Engineering

  18. Humans Strengthen Bottom-Up Effects and Weaken Trophic Cascades in a Terrestrial Food Web

    E-Print Network [OSTI]

    Hebblewhite, Mark

    of Canada, Shell Canada, the Institute for Sustainable Energy, Environment and Economy, the Canadian.pone.0064311 Editor: Jon Moen, Umea University, Sweden Received December 31, 2012; Accepted April 11, 2013 Association, Alberta Tourism, Parks and Recreation, Alberta Sustainable Resource Development, Alberta

  19. An integrated top-down and bottom-up strategy for broadly characterizi...

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

    employs high resolution reversed phase (RP) LC separations coupled on-line with a 12T Fourier transform ion cyclotron resonance (FTICR) spectrometer to profile and tentatively...

  20. Peace Corps Volunteers and the Boundaries of Bottom-up Development

    E-Print Network [OSTI]

    Schuckman, Hugh Erik

    2012-01-01T23:59:59.000Z

    Andrea Matles, ed. Mongolia: A Country Study. Washington,Organizational Literature JICA Mongolia Office. "Baasan ".DC, 1985. ———. "Peace Corps Mongolia Annual Report 2011." (

  1. Bottom Up and Country Led: A New Framework for Climate Action | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: EnergyAvignon,BelcherBlundell 1FortInformationJV

  2. The Bottom-Up Approach forThermoelectric Nanocomposites, plusƒ |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic| DepartmentDepartment ofTankTest(EAP)Summer 2011JuneBooming

  3. A new class of high ZT doped bulk nanothermoelectrics through bottom-up

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 A Strategic Framework for SMRA View from the Bridge -

  4. A review of techno-economic modeling methodology for a wood-to-ethanol process

    SciTech Connect (OSTI)

    Gregg, D.J.; Saddler, J.N. [Univ. of British Columbia, Vancouver (Canada)

    1997-12-31T23:59:59.000Z

    Techno-economic modeling has been a valuable tool in directing and assessing the research and development efforts for biomass-to-ethanol processes. In developing a techno-economic model of a {open_quotes}generic{close_quotes} wood-to-ethanol process, we decided to follow a three-pronged design approach. This initially consisted of a detailed review of the current definition and technical maturity of the process, which concluded that the process remains complex and immature. More recently, we have critically assessed/compared two inherited models, and examined the historical and current trends in modeling design. We confirmed that process complexity and immaturity, in association with the capabilities of the available modeling tools and the ease with which they can be used, influenced the design and implementation of past models. We have discussed these influences with reference to our own model development decisions. For example, on review of two inherited techno-economic models, we decided that our new model would require a greater degree of flexibility in its structure and user interface. 16 refs., 9 figs.

  5. Methodology for Modeling Building Energy Performance across the Commercial Sector

    SciTech Connect (OSTI)

    Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

    2008-03-01T23:59:59.000Z

    This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

  6. Engineering Process Model for High-Temperature Electrolysis System Performance Evaluation

    SciTech Connect (OSTI)

    Carl M. Stoots; James E. O'Brien; Michael G. McKellar; Grant L. Hawkes

    2005-11-01T23:59:59.000Z

    In order to evaluate the potential hydrogen production performance of large-scale High-Temperature Electrolysis (HTE) operations, we have developed an engineering process model at INL using the commercial systems-analysis code HYSYS. Using this code, a detailed process flowsheet has been defined that includes all of the components that would be present in an actual plant such as pumps, compressors, heat exchangers, turbines, and the electrolyzer. Since the electrolyzer is not a standard HYSYS component, a custom one-dimensional electrolyzer model was developed for incorporation into the overall HYSYS process flowsheet. This electrolyzer model allows for the determination of the operating voltage, gas outlet temperatures, and electrolyzer efficiency for any specified inlet gas flow rates, current density, cell active area, and external heat loss or gain. The one-dimensional electrolyzer model was validated by comparison with results obtained from a fully 3-D computational fluid dynamics model developed using FLUENT. This report provides details on the one-dimensional electrolyzer model, the HYSYS process model for a 300 MW HTE plant, and some representative results of parametric studies performed using the HYSYS process model.

  7. Estimating Heat and Mass Transfer Processes in Green Roof Systems: Current Modeling Capabilities and Limitations (Presentation)

    SciTech Connect (OSTI)

    Tabares Velasco, P. C.

    2011-04-01T23:59:59.000Z

    This presentation discusses estimating heat and mass transfer processes in green roof systems: current modeling capabilities and limitations. Green roofs are 'specialized roofing systems that support vegetation growth on rooftops.'

  8. Application of Real Options to Evaluate the Development Process of New Aircraft Models

    E-Print Network [OSTI]

    Miller, Bruno

    2004-01-01T23:59:59.000Z

    Investment decisions in the development and production of new aircraft models is difficult because of the technical and market uncertainties associated with such a complex process. The accompanying risks can be

  9. Modeling and Simulation of Electromutagenic Processes for Multiscale Modification of Concrete Jinko Kanno1

    E-Print Network [OSTI]

    Kanno,Jinko

    Modeling and Simulation of Electromutagenic Processes for Multiscale Modification of Concrete Jinko Engineering Program, Louisiana Tech University ABSTRACT Concrete contains numerous pores that allow of concrete with solid materials or nanoparticles tends to improve the strength significantly. In this paper

  10. A framework for the language and logic of computer-aided phenomena-based process modeling

    E-Print Network [OSTI]

    Bieszczad, Jerry, 1971-

    2000-01-01T23:59:59.000Z

    Chemical process engineering activities such as design, optimization, analysis, control, scheduling, diagnosis, and training all rely on mathematical models for solution of some engineering problem. Likewise, most of the ...

  11. A Systematic Methodology to Underpin the CC® Process Using Calibrated BES Models

    E-Print Network [OSTI]

    White, G.; Keane, M.; Raftery, P.; Coakley, D.

    2011-01-01T23:59:59.000Z

    This paper describes a theoretical framework for utilizing whole building and reduced order calibrated BES models to underpin a systematic Continuous Commissioning® (CC®) process for building environmental optimisation and effective energy...

  12. Fundamental processes in the interacting boson model: 0{nu}{beta}{beta} decay

    SciTech Connect (OSTI)

    Iachello, F. [Center for Theoretical Physics, Sloane Physics Laboratory, Yale University, New Haven, CT 06520-8120 (United States); Barea, J. [Departamento de Fisica, Universidad de Concepcion, Casilla 160-C, Concepcion (Chile)

    2011-05-06T23:59:59.000Z

    A program to calculate nuclear matrix elements for fundamental processes in the interacting boson model has been initiated. Results for the nuclear matrix elements in neutrinoless double beta decay 0{nu}{beta}{beta} are presented.

  13. A Subbasin-based framework to represent land surface processes in an Earth System Model

    SciTech Connect (OSTI)

    Tesfa, Teklu K.; Li, Hongyi; Leung, Lai-Yung R.; Huang, Maoyi; Ke, Yinghai; Sun, Yu; Liu, Ying

    2014-05-20T23:59:59.000Z

    Realistically representing spatial heterogeneity and lateral land surface processes within and between modeling units in earth system models is important because of their implications to surface energy and water exchange. The traditional approach of using regular grids as computational units in land surface models and earth system models may lead to inadequate representation of lateral movements of water, energy and carbon fluxes, especially when the grid resolution increases. Here a new subbasin-based framework is introduced in the Community Land Model (CLM), which is the land component of the Community Earth System Model (CESM). Local processes are represented assuming each subbasin as a grid cell on a pseudo grid matrix with no significant modifications to the existing CLM modeling structure. Lateral routing of water within and between subbasins is simulated with the subbasin version of a recently-developed physically based routing model, Model for Scale Adaptive River Routing (MOSART). As an illustration, this new framework is implemented in the topographically diverse region of the U.S. Pacific Northwest. The modeling units (subbasins) are delineated from high-resolution Digital Elevation Model while atmospheric forcing and surface parameters are remapped from the corresponding high resolution datasets. The impacts of this representation on simulating hydrologic processes are explored by comparing it with the default (grid-based) CLM representation. In addition, the effects of DEM resolution on parameterizing topography and the subsequent effects on runoff processes are investigated. Limited model evaluation and comparison showed that small difference between the averaged forcing can lead to more significant difference in the simulated runoff and streamflow because of nonlinear horizontal processes. Topographic indices derived from high resolution DEM may not improve the overall water balance, but affect the partitioning between surface and subsurface runoff. More systematic analyses are needed to determine the relative merits of the subbasin representation compared to the commonly used grid-based representation, especially when land surface models are approaching higher resolutions.

  14. PROCESS MODEL FOR THE PRODUCTION OF SYNGAS VIA HIGH TEMPERATURE CO-ELECTROLYSIS

    SciTech Connect (OSTI)

    M. G. McKellar; J. E. O'Brien; C. M. Stoots; G. L. Hawkes

    2007-11-01T23:59:59.000Z

    A process model has been developed to evaluate the potential performance of a large-scale high-temperature coelectrolysis plant for the production of syngas from steam and carbon dioxide. The coelectrolysis process allows for direct electrochemical reduction of the steam – carbon dioxide gas mixture, yielding hydrogen and carbon monoxide, or syngas. The process model has been developed using the HYSYS systems analysis code. Using this code, a detailed process flowsheet has been defined that includes all the components that would be present in an actual plant such as pumps, compressors, heat exchangers, turbines, and the electrolyzer. Since the electrolyzer is not a standard HYSYS component, a custom one-dimensional coelectrolysis model was developed for incorporation into the overall HYSYS process flowsheet. The 1-D coelectrolysis model assumes local chemical equilibrium among the four process-gas species via the shift reaction. The electrolyzer model allows for the determination of coelectrolysis outlet temperature, composition (anode and cathode sides), mean Nernst potential, operating voltage and electrolyzer power based on specified inlet gas flow rates, heat loss or gain, current density, and cell area-specific resistance. The one-dimensional electrolyzer model was validated by comparison with results obtained from a fully 3-D computational fluid dynamics model developed using FLUENT, and by comparison to experimental data. This paper provides representative results obtained from the HYSYS flowsheet model for a 300 MW coelectrolysis plant, coupled to a high-temperature gas-cooled nuclear reactor. The coelectrolysis process, coupled to a nuclear reactor, provides a means of recycling carbon dioxide back into a useful liquid fuel. If the carbon dioxide source is based on biomass, the entire process would be climate neutral.

  15. Analytical modeling of the interaction of enzyme catalysis and diffusion processes at the intracellular level

    E-Print Network [OSTI]

    Faith, Duane Willbern

    1977-01-01T23:59:59.000Z

    ANALYTICAL MODELING OF THE INTERACTION OF ENZYME CATALYSIS AND DIFFUSION PROCESSES AT THE INTRACELLULAR LEVEL A Thesis by Duane Nillbern Faith Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE May 1977 Major Subject: Bioengineering ANALYTICAL MODELING OF THE INTERACTION OF ENZYME CATALYSIS AND DIFFUSION PROCESSES AT THE INTRACELLULAR LEVEL A Thesis by Duane Willbern Faith Approved as to style and content by...

  16. Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences

    E-Print Network [OSTI]

    Kottas, Athanasios

    Modeling for Seasonal Marked Point Processes: An Analysis of Evolving Hurricane Occurrences Sai and for the conditional mark distribution. The motivating application involves the analysis of hurricane landfalls the evolution of the intensity of the process of hurricane landfall occurrences, and the respective maximum wind

  17. Process Modeling of Ti-6Al-4V Linear Friction Welding (LFW)

    E-Print Network [OSTI]

    Grujicic, Mica

    Process Modeling of Ti-6Al-4V Linear Friction Welding (LFW) Mica Grujicic, G. Arakere, B finite-element analysis of the linear friction welding (LFW) process is combined with the basic physical in the open literature revealed that the weld region consists of a thermo- mechanically affected zone (TMAZ

  18. FUZZY MODELLING OF THE COMPOSTING PROCESS E. Giusti*, S. Marsili-Libelli *, A. Burchi**

    E-Print Network [OSTI]

    FUZZY MODELLING OF THE COMPOSTING PROCESS E. Giusti*, S. Marsili-Libelli *, A. Burchi composting implies a careful monitoring of the batch process, which includes two phases: active composting composting lies in the definition of an appropriate temperature batch curve and in an effective control

  19. A modeling study of benthic detritus flux's impacts on heterotrophic processes in Lake Michigan

    E-Print Network [OSTI]

    Chen, Changsheng

    A modeling study of benthic detritus flux's impacts on heterotrophic processes in Lake Michigan food web in Lake Michigan were examined using a three- dimensional (3-D) coupled biological to simulate the heterotrophic process in southern Lake Michigan. INDEX TERMS: 4815 Oceanography: Biological

  20. Advanced modeling of large-scale oxy-fuel combustion processes

    E-Print Network [OSTI]

    Yin, Chungen

    Advanced modeling of large-scale oxy-fuel combustion processes Chungen Yin Department of Energy Technology, Aalborg University, DK-9220 Aalborg, Denmark, chy@et.aau.dk Introduction Oxy-fuel combustion simulations of various oxy- fuel combustion processes and experimental validation. Result · A new weighted

  1. Automated Software Engineering Process Assessment: Supporting Diverse Models using an Ontology

    E-Print Network [OSTI]

    Ulm, Universität

    , ISO 9001). It also provides an in-the-loop automated process assessment capability that can help, ISO 9001), and suitable performance and scalability. The approach can reduce the effort required assessment while simultaneously supporting diverse process assessment reference models (CMMI, ISO/IEC 15504

  2. Towards model-based control of a steam Rankine process for engine waste heat recovery

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Towards model-based control of a steam Rankine process for engine waste heat recovery Johan Peralez a critical role in enabling good per- formance of Rankine processes for waste heat recovery from prime movers. INTRODUCTION In the last few years, engine waste heat recovery (WHR) systems based on the Rankine thermodynamic

  3. Control Engineering Practice 11 (2003) 14011411 Modeling and control of quasi-keyhole arc welding process

    E-Print Network [OSTI]

    Zhang, YuMing

    Control Engineering Practice 11 (2003) 1401­1411 Modeling and control of quasi-keyhole arc welding to operate the keyhole arc welding process. Because the method's effectiveness depends on the amperage reserved. Keywords: Modeling; Predictive control; Manufacturing; Welding 1. Introduction Keyhole arc

  4. A Reversible Process Calculus and the Modelling of the ERK Signalling Pathway

    E-Print Network [OSTI]

    Ulidowski, Irek

    A Reversible Process Calculus and the Modelling of the ERK Signalling Pathway Iain Phillips Irek and key identi- fiers to control execution. As an application of our calculus, we model the ERK signalling in the ERK signalling pathway described in Section 3 is a good example. Simplifying, let us assume

  5. Signal Processing 86 (2006) 698709 Speech spectral modeling and enhancement based on

    E-Print Network [OSTI]

    Cohen, Israel

    Signal Processing 86 (2006) 698­709 Speech spectral modeling and enhancement based In this paper, we develop and evaluate speech enhancement algorithms, which are based on supergaussian method. r 2005 Published by Elsevier B.V. Keywords: Speech enhancement; Speech modeling; GARCH; Time

  6. Tracing Eye Movement Protocols with Cognitive Process Models Dario D. Salvucci (dario+@cs.cmu.edu)

    E-Print Network [OSTI]

    Salvucci, Dario D.

    1 Tracing Eye Movement Protocols with Cognitive Process Models Dario D. Salvucci (dario+@cmu.edu) Department of Psychology; Carnegie Mellon University Pittsburgh, PA 15213 Abstract In using eye movements to develop cognitive models, researchers typically analyze eye movement protocols with aggregate measures

  7. EFFICIENCY OF POLYMERASE CHAIN REACTION PROCESSES: A STOCHASTIC MODEL Arjang Hassibi

    E-Print Network [OSTI]

    Hassibi, Arjang

    EFFICIENCY OF POLYMERASE CHAIN REACTION PROCESSES: A STOCHASTIC MODEL Arjang Hassibi California Institute of Technology Masoud Sharif Boston University ABSTRACT A stochastic model for the efficiency, temperature profile, enzyme rate, and other assay conditions [3], we calculate the efficiency of a multi

  8. Development of an entrained flow gasifier model for process optimization study

    SciTech Connect (OSTI)

    Biagini, E.; Bardi, A.; Pannocchia, G.; Tognotti, L. [Consorzio Pisa Ric, Pisa (Italy). Div Energia Ambiente

    2009-10-15T23:59:59.000Z

    Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. Different technologies (fixed beds, fluidized beds, entrained flow reactors) are used, operating under different conditions of temperature, pressure, and residence time. Process studies should be performed for defining the best plant configurations and operating conditions. Although 'gasification models' can be found in the literature simulating equilibrium reactors, a more detailed approach is required for process analysis and optimization procedures. In this work, a gasifier model is developed by using AspenPlus as a tool to be implemented in a comprehensive process model for the production of hydrogen via coal gasification. It is developed as a multizonal model by interconnecting each step of gasification (preheating, devolatilization, combustion, gasification, quench) according to the reactor configuration, that is in entrained flow reactor. The model removes the hypothesis of equilibrium by introducing the kinetics of all steps and solves the heat balance by relating the gasification temperature to the operating conditions. The model allows to predict the syngas composition as well as quantity the heat recovery (for calculating the plant efficiency), 'byproducts', and residual char. Finally, in view of future works, the development of a 'gasifier model' instead of a 'gasification model' will allow different reactor configurations to be compared.

  9. Application of a new screening model to thermonuclear reactions of the rp process

    E-Print Network [OSTI]

    Theodore Liolios

    2003-05-09T23:59:59.000Z

    A new screening model for astrophysical thermonuclear reactions was derived recently which improved Salpeter's weak-screening one. In the present work we prove that the new model can also give very reliable screening enhancement factors (SEFs) when applied to the rp process. According to the results of the new model, which agree well with Mitler's SEFs, the screened rp reaction rates can be, at most, twice as fast as the unscreened ones.

  10. Modeling the performance and cost of lithium-ion batteries for electric-drive vehicles.

    SciTech Connect (OSTI)

    Nelson, P. A.

    2011-10-20T23:59:59.000Z

    This report details the Battery Performance and Cost model (BatPaC) developed at Argonne National Laboratory for lithium-ion battery packs used in automotive transportation. The model designs the battery for a specified power, energy, and type of vehicle battery. The cost of the designed battery is then calculated by accounting for every step in the lithium-ion battery manufacturing process. The assumed annual production level directly affects each process step. The total cost to the original equipment manufacturer calculated by the model includes the materials, manufacturing, and warranty costs for a battery produced in the year 2020 (in 2010 US$). At the time this report is written, this calculation is the only publically available model that performs a bottom-up lithium-ion battery design and cost calculation. Both the model and the report have been publically peer-reviewed by battery experts assembled by the U.S. Environmental Protection Agency. This report and accompanying model include changes made in response to the comments received during the peer-review. The purpose of the report is to document the equations and assumptions from which the model has been created. A user of the model will be able to recreate the calculations and perhaps more importantly, understand the driving forces for the results. Instructions for use and an illustration of model results are also presented. Almost every variable in the calculation may be changed by the user to represent a system different from the default values pre-entered into the program. The distinct advantage of using a bottom-up cost and design model is that the entire power-to-energy space may be traversed to examine the correlation between performance and cost. The BatPaC model accounts for the physical limitations of the electrochemical processes within the battery. Thus, unrealistic designs are penalized in energy density and cost, unlike cost models based on linear extrapolations. Additionally, the consequences on cost and energy density from changes in cell capacity, parallel cell groups, and manufacturing capabilities are easily assessed with the model. New proposed materials may also be examined to translate bench-scale values to the design of full-scale battery packs providing realistic energy densities and prices to the original equipment manufacturer. The model will be openly distributed to the public in the year 2011. Currently, the calculations are based in a Microsoft{reg_sign} Office Excel spreadsheet. Instructions are provided for use; however, the format is admittedly not user-friendly. A parallel development effort has created an alternate version based on a graphical user-interface that will be more intuitive to some users. The version that is more user-friendly should allow for wider adoption of the model.

  11. Modeling of thermally driven hydrological processes in partially saturated fractured rock

    SciTech Connect (OSTI)

    Tsang, Yvonne; Birkholzer, Jens; Mukhopadhyay, Sumit

    2009-03-15T23:59:59.000Z

    This paper is a review of the research that led to an in-depth understanding of flow and transport processes under strong heat stimulation in fractured, porous rock. It first describes the anticipated multiple processes that come into play in a partially saturated, fractured porous volcanic tuff geological formation, when it is subject to a heat source such as that originating from the decay of radionuclides. The rationale is then given for numerical modeling being a key element in the study of multiple processes that are coupled. The paper outlines how the conceptualization and the numerical modeling of the problem evolved, progressing from the simplified to the more realistic. Examples of numerical models are presented so as to illustrate the advancement and maturation of the research over the last two decades. The most recent model applied to in situ field thermal tests is characterized by (1) incorporation of a full set of thermal-hydrological processes into a numerical simulator, (2) realistic representation of the field test geometry, in three dimensions, and (3) use of site-specific characterization data for model inputs. Model predictions were carried out prior to initiation of data collection, and the model results were compared to diverse sets of measurements. The approach of close integration between modeling and field measurements has yielded a better understanding of how coupled thermal hydrological processes produce redistribution of moisture within the rock, which affects local permeability values and subsequently the flow of liquid and gases. The fluid flow in turn will change the temperature field. We end with a note on future research opportunities, specifically those incorporating chemical, mechanical, and microbiological factors into the study of thermal and hydrological processes.

  12. Speeding Up the Process of Modeling Temporary Structures in a Building Information Model Using Predefined Families

    E-Print Network [OSTI]

    Sabahi, Parsa

    2012-02-14T23:59:59.000Z

    It has been less than a decade that Building Information Modeling (BIM) has been used in construction industries. During this short period of time the application of this new modeling approach has increased significantly, but still the main users...

  13. Annual Report: Property Improvement in CZT via Modeling and Processing Innovations

    SciTech Connect (OSTI)

    Henager, Charles H.; Setyawan, Wahyu; Gao, Fei; Hu, Shenyang Y.; Bliss, Mary; Riley, Brian J.; Alvine, Kyle J.; Stave, Jean A.

    2013-09-01T23:59:59.000Z

    The objective of this project is to develop growth models of CZT crystals from the melt using vertical gradient freeze (VGF) or vertical Bridgman growth as a typical process. Further, the project will perform critical experiments including single crystal growth to validate the growth models and to provide detailed data for modeling and simulation. Ideally, the project will develop growth models that will provide, for the first time, choices for optimal CZT single crystal growth from the melt based on model input. The overarching goal that guides this research proposal is to produce large, single crystals of CZT with good yield and reproducible properties. In our view this depends on 1) understanding crystal growth processes, including annealing and cool-down processing, and 2) understanding the role of defects on detector response since it is not possible, yet, to produce defect-free materials. Models of defect structure and formation are addressed. Validated models and experiments on reducing defects in melt-grown crystals are used to guide our understanding of growth processes and in-furnace annealing plus cool-down.

  14. Optimization of carbon capture systems using surrogate models of simulated processes.

    SciTech Connect (OSTI)

    Cozad, A.; Chang, Y.; Sahinidis, N.; Miller, D.

    2011-01-01T23:59:59.000Z

    With increasing demand placed on power generation plants to reduce carbon dioxide (CO2) emissions, processes to separate and capture CO2 for eventual sequestration are highly sought after. Carbon capture processes impart a parasitic load on the power plants; it is estimated that this would increase the cost of electricity from existing pulverized coal plants anywhere from 71-85 percent [1]. The National Energy and Technology Lab (NETL) is working to lower this to below a 30 percent increase. To reach this goal, work is being done not only to accurately simulate these processes, but also to leverage those accurate and detailed simulations to design optimal carbon capture processes. The major challenges include the lack of accurate algebraic models of the processes, computationally costly simulations, and insufficiently robust simulations. The first challenge bars the use of provable derivative-based optimization algorithms. The latter two can either lead to difficult or impossible direct derivative-free optimization. To overcome these difficulties, we take a more indirect method to solving this problem by, first, generating an accurate set of algebraic surrogate models from the simulation then using derivative-based solvers to optimize the surrogate models. We developed a method that uses derivative-based and derivative-free optimization alongside machine learning and statistical techniques to generate the set of low-complexity surrogate models using data sampled from detailed simulations. The models are validated and improved through the use of derivative-free solvers to adaptively sample new simulation points. The resulting surrogate models can then be used in a superstructure-based process synthesis and solved using derivative-based methods to optimize carbon capture processes.

  15. Modeling Coupled THMC Processes and Brine Migration in Salt at High Temperatures

    SciTech Connect (OSTI)

    Rutqvist, Jonny; Blanco Martin, Laura; Mukhopadhyay, Sumit; Houseworth, Jim; Birkholzer, Jens

    2014-08-14T23:59:59.000Z

    In this report, we present FY2014 progress by Lawrence Berkeley National Laboratory (LBNL) related to modeling of coupled thermal-hydrological-mechanical-chemical (THMC) processes in salt and their effect on brine migration at high temperatures. LBNL’s work on the modeling of coupled THMC processes in salt was initiated in FY2012, focusing on exploring and demonstrating the capabilities of an existing LBNL modeling tool (TOUGH-FLAC) for simulating temperature-driven coupled flow and geomechanical processes in salt. This work includes development related to, and implementation of, essential capabilities, as well as testing the model against relevant information and published experimental data related to the fate and transport of water. we provide more details on the FY2014 work, first presenting updated tools and improvements made to the TOUGH-FLAC simulator, and the use of this updated tool in a new model simulation of long-term THM behavior within a generic repository in a salt formation. This is followed by the description of current benchmarking and validations efforts, including the TSDE experiment. We then present the current status in the development of constitutive relationships and the dual-continuum model for brine migration. We conclude with an outlook for FY2015, which will be much focused on model validation against field experiments and on the use of the model for the design studies related to a proposed heater experiment.

  16. Agent-based Versus Macroscopic Modeling of Competition and Business Processes in Economics and Finance

    E-Print Network [OSTI]

    Kononovicius, Aleksejus; Daniunas, Valentas

    2012-01-01T23:59:59.000Z

    We present examples of agent-based and stochastic models of competition and business processes in economics and finance. We start from as simple as possible models, which have microscopic, agent-based, versions and macroscopic treatment in behavior. Microscopic and macroscopic versions of herding model proposed by Kirman and Bass diffusion of new products are considered in this contribution as two basic ideas. Further we demonstrate that general herding behavior can be considered as a background of nonlinear stochastic model of financial fluctuations.

  17. Using a growth and yield model (PTAEDA2) as a driver for a biological process model (MAESTRO). Forest Service research paper

    SciTech Connect (OSTI)

    Baldwin, V.C.; Burkhart, H.E.; Dougherty, P.M.; Teskey, R.O.

    1993-08-01T23:59:59.000Z

    The objectives, approach, and results of the modeling required to adapt the management oriented growth and yield model (PTAEDA2) to function as a driver for the biologically based process model (MAESTRO) are discussed in the report.

  18. Quantum mechanical Hamiltonian models of discrete processes that erase their own histories: application to Turing machines

    SciTech Connect (OSTI)

    Benioff, P.A.

    1981-01-01T23:59:59.000Z

    Work done before on the construction of quantum mechanical Hamiltonian models of Turing machines and general descrete processes is extended here to include processes which erase their own histories. The models consist of three phases, the forward process phase in which a map T is iterated and a history of iterations is generated, a copy phase which is activated if and only if T reaches a fix point, and an erase phase which erases the iteration history, undoes the iterations of T and recovers the initial state except for the copy system. A ballast system is used to stop the evolution at the desired state. The general model so constructed is applied to Turing machines. The main changes are that the system undergoing the evolution corresponding to T iterations becomes three systems corresponding to the internal machine, the computation tape, and computation head. Also the copy phase becomes more complex since it is desired that this correspond also to a copying Turing machine.

  19. Model for multi-strata safety performance measurements in the process industry

    E-Print Network [OSTI]

    Keren, Nir

    2004-09-30T23:59:59.000Z

    ) benchmarking of process safety elements among facilities; and (3) use of incident data collection from various sources for industrial safety performance assessment. The methods presently available for measurement of process safety within facilities... to explore the potential of integrating data sources and harnessing these databases for industrial safety performance assessment. In this study we developed models to pursue the measurement of samples of the strata described above. The measurement...

  20. Modeling nuclear weak-interaction processes with relativistic energy density functionals

    E-Print Network [OSTI]

    Paar, N; Vale, D; Vretenar, D

    2015-01-01T23:59:59.000Z

    Relativistic energy density functionals have become a standard framework for nuclear structure studies of ground-state properties and collective excitations over the entire nuclide chart. We review recent developments in modeling nuclear weak-interaction processes: charge-exchange excitations and the role of isoscalar proton-neutron pairing, charged-current neutrino-nucleus reactions relevant for supernova evolution and neutrino detectors, and calculation of beta-decay rates for r-process nucleosynthesis.

  1. MODELING COUPLED PROCESSES OF MULTIPHASE FLOW AND HEAT TRANSFER IN UNSATURATED FRACTURED ROCK

    SciTech Connect (OSTI)

    Y. Wu; S. Mukhopadhyay; K. Zhang; G.S. Bodvarsson

    2006-02-28T23:59:59.000Z

    A mountain-scale, thermal-hydrologic (TH) numerical model is developed for investigating unsaturated flow behavior in response to decay heat from the radioactive waste repository at Yucca Mountain, Nevada, USA. The TH model, consisting of three-dimensional (3-D) representations of the unsaturated zone, is based on the current repository design, drift layout, and thermal loading scenario under estimated current and future climate conditions. More specifically, the TH model implements the current geological framework and hydrogeological conceptual models, and incorporates the most updated, best-estimated input parameters. This mountain-scale TH model simulates the coupled TH processes related to mountain-scale multiphase fluid flow, and evaluates the impact of radioactive waste heat on the hydrogeological system, including thermally perturbed liquid saturation, gas- and liquid-phase fluxes, and water and rock temperature elevations, as well as the changes in water flux driven by evaporation/condensation processes and drainage between drifts. For a better description of the ambient geothermal condition of the unsaturated zone system, the TH model is first calibrated against measured borehole temperature data. The ambient temperature calibration provides the necessary surface and water table boundary as well as initial conditions. Then, the TH model is used to obtain scientific understanding of TH processes in the Yucca Mountain unsaturated zone under the designed schedule of repository thermal load.

  2. Process and economic model of in-field heavy oil upgrading using aqueous pyrolysis

    SciTech Connect (OSTI)

    Thorsness, C. B., LLNL

    1997-01-21T23:59:59.000Z

    A process and economic model for aqueous pyrolysis in-field upgrading of heavy oil has been developed. The model has been constructed using the ASPEN PLUS chemical process simulator. The process features cracking of heavy oil at moderate temperatures in the presence of water to increase oil quality and thus the value of the oil. Calculations with the model indicate that for a 464 Mg/day (3,000 bbl/day) process, which increases the oil API gravity of the processed oil from 13.5{degree} to 22.4{degree}, the required value increase of the oil would need to be at least $2.80/Mg{center_dot}{degree}API($0.40/bbl{center_dot}{degree}API) to make the process economically attractive. This level of upgrading has been demonstrated in preliminary experiments with candidate catalysts. For improved catalysts capable of having the coke make and increasing the pyrolysis rate, a required price increase for the oil as low as $1.34/Mg{center_dot}{degree}API ($0.21/bbl{center_dot}{degree}API)has been calculated.

  3. Integrating Empirical-Modeling Approaches to Improve Understanding of Terrestrial Ecology Processes

    SciTech Connect (OSTI)

    McCarthy, Heather [University of Oklahoma; Luo, Yiqi [University of Oklahoma; Wullschleger, Stan D [ORNL

    2012-01-01T23:59:59.000Z

    Recent decades have seen tremendous increases in the quantity of empirical ecological data collected by individual investigators, as well as through research networks such as FLUXNET (Baldocchi et al., 2001). At the same time, advances in computer technology have facilitated the development and implementation of large and complex land surface and ecological process models. Separately, each of these information streams provides useful, but imperfect information about ecosystems. To develop the best scientific understanding of ecological processes, and most accurately predict how ecosystems may cope with global change, integration of empirical and modeling approaches is necessary. However, true integration - in which models inform empirical research, which in turn informs models (Fig. 1) - is not yet common in ecological research (Luo et al., 2011). The goal of this workshop, sponsored by the Department of Energy, Office of Science, Biological and Environmental Research (BER) program, was to bring together members of the empirical and modeling communities to exchange ideas and discuss scientific practices for increasing empirical - model integration, and to explore infrastructure and/or virtual network needs for institutionalizing empirical - model integration (Yiqi Luo, University of Oklahoma, Norman, OK, USA). The workshop included presentations and small group discussions that covered topics ranging from model-assisted experimental design to data driven modeling (e.g. benchmarking and data assimilation) to infrastructure needs for empirical - model integration. Ultimately, three central questions emerged. How can models be used to inform experiments and observations? How can experimental and observational results be used to inform models? What are effective strategies to promote empirical - model integration?

  4. Shell model half-lives for r-process N=82 nuclei

    E-Print Network [OSTI]

    J. J. Cuenca-Garcia; G. Martinez-Pinedo; K. Langanke; F. Nowacki; I. N. Borzov

    2008-11-07T23:59:59.000Z

    We have performed shell-model calculations of the half-lives and neutron-branching probabilities of the r-process waiting point nuclei at the magic neutron number N=82. These new calculations use a larger model space than previous shell model studies and an improved residual interaction which is adjusted to recent spectroscopic data around A=130. Our shell-model results give a good account of all experimentally known half-lives and $Q_\\beta$-values for the N=82 r-process waiting point nuclei. Our half-life predictions for the N=82 nuclei with Z=42--46 agree well with recent estimates based in the energy-density functional method.

  5. Experiments to populate and validate a processing model for polyurethane foam :

    SciTech Connect (OSTI)

    Mondy, Lisa Ann; Rao, Rekha Ranjana; Shelden, Bion; Soehnel, Melissa Marie; O'Hern, Timothy J.; Grillet, Anne; Celina, Mathias Christopher; Wyatt, Nicholas B.; Russick, Edward Mark; Bauer, Stephen J.; Hileman, Michael Bryan; Urquhart, Alexander; Thompson, Kyle Richard; Smith, David Michael

    2014-03-01T23:59:59.000Z

    We are developing computational models to elucidate the expansion and dynamic filling process of a polyurethane foam, PMDI. The polyurethane of interest is chemically blown, where carbon dioxide is produced via the reaction of water, the blowing agent, and isocyanate. The isocyanate also reacts with polyol in a competing reaction, which produces the polymer. Here we detail the experiments needed to populate a processing model and provide parameters for the model based on these experiments. The model entails solving the conservation equations, including the equations of motion, an energy balance, and two rate equations for the polymerization and foaming reactions, following a simplified mathematical formalism that decouples these two reactions. Parameters for the polymerization kinetics model are reported based on infrared spectrophotometry. Parameters describing the gas generating reaction are reported based on measurements of volume, temperature and pressure evolution with time. A foam rheology model is proposed and parameters determined through steady-shear and oscillatory tests. Heat of reaction and heat capacity are determined through differential scanning calorimetry. Thermal conductivity of the foam as a function of density is measured using a transient method based on the theory of the transient plane source technique. Finally, density variations of the resulting solid foam in several simple geometries are directly measured by sectioning and sampling mass, as well as through x-ray computed tomography. These density measurements will be useful for model validation once the complete model is implemented in an engineering code.

  6. A dynamic process model of a natural gas combined cycle -- Model development with startup and shutdown simulations

    SciTech Connect (OSTI)

    Liese, Eric [U.S. DOE; Zitney, Stephen E. [U.S. DOE

    2013-01-01T23:59:59.000Z

    Research in dynamic process simulation for integrated gasification combined cycles (IGCC) with carbon capture has been ongoing at the National Energy Technology Laboratory (NETL), culminating in a full operator training simulator (OTS) and immersive training simulator (ITS) for use in both operator training and research. A derivative work of the IGCC dynamic simulator has been a modification of the combined cycle section to more closely represent a typical natural gas fired combined cycle (NGCC). This paper describes the NGCC dynamic process model and highlights some of the simulator’s current capabilities through a particular startup and shutdown scenario.

  7. Energy-efficient Model Inference in Wireless Sensing: Asymmetric Data Processing

    E-Print Network [OSTI]

    Energy-efficient Model Inference in Wireless Sensing: Asymmetric Data Processing Paul G. Flikkema to the need to conserve deployment costs, including energy provisioning. These effects include data/censoring, and Markov chain Monte Carol (MCMC) simulation at the data center can form pos- terior estimates. Integral

  8. Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process

    E-Print Network [OSTI]

    Yu, Qian

    . Research has targeted the assessment toward economic loss evaluation Grossman and Alan 1995; Ofiara 2001Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process and spatial characteristics of different water quality parameters, and simulating economic loss of water

  9. TILTED LAYER-BASED MODELING FOR ENHANCED LIGHT-FIELD PROCESSING AND IMAGE BASED RENDERING

    E-Print Network [OSTI]

    Dragotti, Pier Luigi

    TILTED LAYER-BASED MODELING FOR ENHANCED LIGHT-FIELD PROCESSING AND IMAGE BASED RENDERING James, UK {j.pearson09, marcovs, mike.brookes, p.dragotti}@imperial.ac.uk ABSTRACT Image based rendering- torealistic results. However for successful rendering, geometric pri- ors about the structure of the scene

  10. Kinetic Modeling for a Semi-Interpenetrating Polymer Network (SIPN) Process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Kinetic Modeling for a Semi-Interpenetrating Polymer Network (SIPN) Process Advisor: Lorenz T A ·Networking component Polymer A chain Linear Polymer B Grafted Polymer B Grafting/ Crosslinking site Fig 3 B ·Grafted chain ·Homo- polymer Part 2: Component A ·Networking component Polymer A chain Linear

  11. Diode Laser Welding of ABS: Experiments and Process Modelling , E.CICALA1,2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Diode Laser Welding of ABS: Experiments and Process Modelling M.ILIE1,3 , E.CICALA1,2 , D.GREVEY2 for Welding and Material Testing, 30, Mihai Viteazul Bv, 300222 Timisoara, Romania Abstract In the present.ilie@mec.upt.ro, milie@isim.ro Keywords: Laser welding; Semitransparent Polymers; Numerical simulation; Experimental

  12. Modelling of Casting, Welding, and Advanced Solidification Processing XI NON-MONOTONE TEMPERATURE BOUNDARY CONDITIONS

    E-Print Network [OSTI]

    Lowengrub, John

    Modelling of Casting, Welding, and Advanced Solidification Processing XI NON-MONOTONE TEMPERATURE anisotropy, such as a needle crystal or dendrite, the interface can develop periodic non-monotone temperature in the equilibrium temperature close to the highly curved tip. This minimum results in the tip temperature itself

  13. Neural Modeling of Non-Linear Processes: Relevance of the Takens-Ma~ne Theorem

    E-Print Network [OSTI]

    Masulli, Francesco

    coupled to a 150 MW steam turbine. 1 Introduction The problem of controlling systems characterized by non to be managed (on a typical steam turbine they are about 576,000/hour). Moreover, so far, there are no availableNeural Modeling of Non-Linear Processes: Relevance of the Takens-Ma~n´e Theorem Francesco Masulli

  14. Modelling the Influence of RKIP on the ERK Signalling Pathway Using the Stochastic Process

    E-Print Network [OSTI]

    Swain, Peter

    Modelling the Influence of RKIP on the ERK Signalling Pathway Using the Stochastic Process Algebra the influence of the Raf Kinase In- hibitor Protein (RKIP) on the Extracellular signal Regulated Kinase (ERK durations and probabilistic choices. The system which we consider is the Ras/Raf-1/MEK/ERK signalling

  15. IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement with Improved

    E-Print Network [OSTI]

    So, Hing-Cheung

    IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement-based approach to enhance noisy speech using an analysis-synthesis framework. Target speech is reconstructed. Ini- tially, we propose an analysis-synthesis framework for speech enhancement based on harmonic noise

  16. Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models

    E-Print Network [OSTI]

    Salvucci, Dario D.

    Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models Dario D dario+@cs.cmu.edu ABSTRACT While current eye-based interfaces offer enormous potential for efficient human-computer interaction, they also manifest the difficulty of inferring intent from user eye

  17. Games, Role-Playing, Tools and Models as a Learning Process to Simulate Groundwater Management Negotiation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Games, Role-Playing, Tools and Models as a Learning Process to Simulate Groundwater Management in answering this question at a local level. A negotiation support simulator for a regional project is proposed which includes the numerous actors involved in water resource management projects. This simulator

  18. TOWARDS A RIGOROUS PROCESS MODELING WITH SPEM Benoit Combemale, Xavier Cregut

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    : Modeling software process is a good way to improve development and thus quality of resulting applications the development of reliable software, conforming to their specification within ex- pected deadlines and costs) for working on the complete lifecycle of software artifacts. MDE (B´ezivin, 2004) appeared with OMG propo

  19. A class of Petri nets for modeling and analyzing business processes

    E-Print Network [OSTI]

    van der Aalst, Wil

    A class of Petri nets for modeling and analyzing business processes W.M.P. van der Aalst Department of Petri nets suitable for the representation, validation and verification of these procedures. We will show that the correctness of a procedure represented by such a Petri net can be verified in polynomial

  20. Modeling and Optimization of Next Generation Feedstock Development for Chemical Process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Modeling and Optimization of Next Generation Feedstock Development for Chemical Process Industry -Glutamic acid Anaerobic digestion mass Cellulose Biogas Bio oil Gasoline Diesel Butanol Dimethyl ether,Oil Polyol Biodiesel Glycerin Naphtha and Diesel Liquefaction / d h l Thermo chemical Protein Protein

  1. Digital service analysis and design: the role of process modelling Steven Buchanan*

    E-Print Network [OSTI]

    Strathclyde, University of

    and usefulness of a UK National Health Service (NHS) digital library. Reflecting on lessons learnt evaluation of a National Health Service (NHS) digital library that found users satisfied with usability1 Digital service analysis and design: the role of process modelling Steven Buchanan* Department

  2. Mathematical Modelling of Glass Forming Processes J. A. W. M. Groot

    E-Print Network [OSTI]

    Eindhoven, Technische Universiteit

    deformations. The process can be modelled as a coupled thermodynamical/mechanical problem with corresponding] external force on plunger Fg [N] force of glass on plunger L [m] characteristic length T [K] temperature Tg ] plunger velocity cp [J kg-1 K-1 ] specific heat g [m s-2 ] gravitational acceleration p [Pa] pressure rp

  3. CONTROL OF AN IDEAL ACTIVATED SLUDGE PROCESS IN WASTEWATER TREATMENT VIA AN ODE-PDE MODEL

    E-Print Network [OSTI]

    Diehl, Stefan

    CONTROL OF AN IDEAL ACTIVATED SLUDGE PROCESS IN WASTEWATER TREATMENT VIA AN ODE-PDE MODEL STEFAN treatment plants, consists basically of a biological reactor followed by a sedi- mentation tank, which has. 1. Introduction The need for efficient wastewater treatment plants in terms of low effluent con

  4. PROCESS MODELING AND ANALYSIS FOR RECOVERY OF PUBE SOURCES AT LOS ALAMOS

    SciTech Connect (OSTI)

    D. KORNREICH; ET AL

    2000-11-01T23:59:59.000Z

    Los Alamos National Laboratory maintains one of the premier plutonium processing facilities in the country. The plutonium facility supports several defense- and nondefense-related missions. This paper describes process-modeling efforts focused on the operations related to the Radioactive Source Recovery Program, which recovers the plutonium from plutonium-beryllium neutron sources. This program accomplishes at least two goals: it is evidence of good stewardship of a national resource, plutonium, and destroys a potential health hazard, the neutron source, by separating the plutonium from the beryllium in sources that are no longer being used in various industries or the military. We examine the processes related to source recovery operations in terms of throughput, ionizing radiation exposure to workers, and mass balances using two discrete-event simulation tools: Extend{trademark}, which is commercially available; and ProMoS, which is in-house software specifically tailored for modeling nuclear-materials operations.

  5. GOALIE, A Common Lisp Application to Discover Kripke Models: Redescribing Biological Processes from Time-Course Data

    E-Print Network [OSTI]

    Mishra, Bud

    measurements into formal temporal logic models of biological processes. It finds extensive uses in the analysis is a novel computational approach and software system that uncovers formal temporal logic modelsGOALIE, A Common Lisp Application to Discover Kripke Models: Redescribing Biological Processes from

  6. Gas Metal Arc Welding Process Modeling and Prediction of Weld Microstructure in MIL A46100 Armor-Grade

    E-Print Network [OSTI]

    Grujicic, Mica

    Gas Metal Arc Welding Process Modeling and Prediction of Weld Microstructure in MIL A46100 Armor metal arc welding (GMAW) butt-joining process has been modeled using a two-way fully coupled, transient in the form of heat, and the mechanical material model of the workpiece and the weld is made temperature

  7. Improving the representation of terrestrial ecosystem processes in Earth system models to increase the quality of climate model projections and inform DOE's energy decisions

    E-Print Network [OSTI]

    Improving the representation of terrestrial ecosystem processes in Earth system models to increase results are incorporated into Earth system models to improve climate projections. e overarching goal of TES is to improve the representation of terrestrial ecosystem processes in Earth system models

  8. Physical Properties Models for Simulation of Processes to Treat INEEL Tank Farm Waste: Thermodynamic Equilibrium

    SciTech Connect (OSTI)

    Nichols, Todd Travis; Taylor, Dean Dalton

    2002-07-01T23:59:59.000Z

    A status is presented of the development during FY2002 of a database for physical properties models for the simulation of the treatment of Sodium-Bearing Waste (SBW) at the Idaho National Engineering and Environmental Laboratory. An activity coefficient model is needed for concentrated, aqueous, multi-electrolyte solutions that can be used by process design practitioners. Reasonable first-order estimates of activity coefficients in the relevant media are needed rather than an incremental improvement in theoretical approaches which are not usable by practitioners. A comparison of the Electrolyte Non-Random Two-Liquid (ENRTL) and Pitzer ion-interaction models for the thermodynamic representation of SBW is presented. It is concluded that Pitzer's model is superior to ENRTL in modeling treatment processes for SBW. The applicability of the Pitzer treatment to high concentrations of pertinent species and to the determination of solubilities and chemical equilibria is addressed. Alternate values of Pitzer parameters for HCl, H2SO4, and HNO3 are proposed, applicable up to 16m, and 12m, respectively. Partial validation of the implementation of Pitzer's treatment within the commercial process simulator ASPEN Plus was performed.

  9. Physical Properties Models for Simulation of Processes to Treat INEEL Tank Farm Waste: Thermodynamic Equilibrium

    SciTech Connect (OSTI)

    Nichols, T.T.; Taylor, D.D.

    2002-07-18T23:59:59.000Z

    A status is presented of the development during FY2002 of a database for physical properties models for the simulation of the treatment of Sodium-Bearing Waste (SBW) at the Idaho National Engineering and Environmental Laboratory. An activity coefficient model is needed for concentrated, aqueous, multi-electrolyte solutions that can be used by process design practitioners. Reasonable first-order estimates of activity coefficients in the relevant media are needed rather than an incremental improvement in theoretical approaches which are not usable by practitioners. A comparison of the Electrolyte Non-Random Two-Liquid (ENRTL) and Pitzer ion-interaction models for the thermodynamic representation of SBW is presented. It is concluded that Pitzer's model is superior to ENRTL in modeling treatment processes for SBW. The applicability of the Pitzer treatment to high concentrations of pertinent species and to the determination of solubilities and chemical equilibria is addressed. Alternate values of Pitzer parameters for HCl, H2SO4, and HNO3 are proposed, applicable up to 16m, and 12m, respectively. Partial validation of the implementation of Pitzer's treatment within the commercial process simulator ASPEN Plus was performed.

  10. Potts model based on a Markov process computation solves the community structure problem effectively

    E-Print Network [OSTI]

    Li, Hui-Jia; Wu, Ling-Yun; Zhang, Junhua; Zhang, Xiang-Sun

    2015-01-01T23:59:59.000Z

    Potts model is a powerful tool to uncover community structure in complex networks. Here, we propose a new framework to reveal the optimal number of communities and stability of network structure by quantitatively analyzing the dynamics of Potts model. Specifically we model the community structure detection Potts procedure by a Markov process, which has a clear mathematical explanation. Then we show that the local uniform behavior of spin values across multiple timescales in the representation of the Markov variables could naturally reveal the network's hierarchical community structure. In addition, critical topological information regarding to multivariate spin configuration could also be inferred from the spectral signatures of the Markov process. Finally an algorithm is developed to determine fuzzy communities based on the optimal number of communities and the stability across multiple timescales. The effectiveness and efficiency of our algorithm are theoretically analyzed as well as experimentally validate...

  11. A cyclic time-dependent Markov process to model daily patterns in wind turbine power production

    E-Print Network [OSTI]

    Scholz, Teresa; Estanqueiro, Ana

    2013-01-01T23:59:59.000Z

    Wind energy is becoming a top contributor to the renewable energy mix, which raises potential reliability issues for the grid due to the fluctuating nature of its source. To achieve adequate reserve commitment and to promote market participation, it is necessary to provide models that can capture daily patterns in wind power production. This paper presents a cyclic inhomogeneous Markov process, which is based on a three-dimensional state-space (wind power, speed and direction). Each time-dependent transition probability is expressed as a Bernstein polynomial. The model parameters are estimated by solving a constrained optimization problem: The objective function combines two maximum likelihood estimators, one to ensure that the Markov process long-term behavior reproduces the data accurately and another to capture daily fluctuations. A convex formulation for the overall optimization problem is presented and its applicability demonstrated through the analysis of a case-study. The proposed model is capable of r...

  12. Model description In this thesis, both simple parameterized models of mantle dynamical processes and more

    E-Print Network [OSTI]

    van Thienen, Peter

    by a description of the implementation of solid state phase transitions of crustal and mantle material included Rc phase Rayleigh number gh3 0 S melt productivity function s-1 S entropy change upon full in the models. Finally, the implementa- tion of partial melting of crustal and mantle material and associated

  13. Process model and capacity upgrades of the CTI-4000 liquid helium coldbox

    SciTech Connect (OSTI)

    Hansen, Benjamin; Klebaner, Arkadiy [Fermilab, P.O. Box 500, Batavia, IL 60510 (United States); Quack, Hans [Technische Universitaet Dresden, Dresden (Germany)

    2014-01-29T23:59:59.000Z

    Fermi National Accelerator Laboratory (FNAL) is in the process of re-commissioning a vintage CTI-4000 liquid helium coldbox, initially supplied by CTI-Cryogenics/Sulzer to Los Alamos in 1979. The coldbox was originally designed as a liquid helium refrigerator with capacity of ?1200 W at nominal 4-K. The process utilized LN{sub 2} precooling, in-series operation of two centrifugal gas bearing turboexpanders and final Joule-Thomson (J-T) expansion. At FNAL, the coldbox will be utilized as a liquefier to support 2-K operations. A process model was developed to aid in the upgrade decisions and used to determine the nominal capacity of the liquefier. Capacity upgrades are achieved by safely utilizing the internal LN2 precooler, the addition of a 3-inch reciprocating wet expansion engine and increasing the overall process pressure by recertifying two limiting pressure vessels to a higher MAWP.

  14. Distributed Model Predictive Control of Nonlinear and Two-Time-Scale Process Networks

    E-Print Network [OSTI]

    Chen, Xianzhong

    2012-01-01T23:59:59.000Z

    process . . . . . . . . . . . . Process and control problem147 Process description and control systemof benzene pro- cess Process and control problem description

  15. Towards increased policy relevance in energy modeling

    SciTech Connect (OSTI)

    Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale

    2003-07-29T23:59:59.000Z

    Historically, most energy models were reasonably equipped to assess the impact of a subsidy or change in taxation, but are often insufficient to assess the impact of more innovative policy instruments. We evaluate the models used to assess future energy use, focusing on industrial energy use. We explore approaches to engineering-economic analysis that could help improve the realism and policy relevance of engineering-economic modeling frameworks. We also explore solutions to strengthen the policy usefulness of engineering-economic analysis that can be built from a framework of multi-disciplinary cooperation. We focus on the so-called ''engineering-economic'' (or ''bottom-up'') models, as they include the amount of detail that is commonly needed to model policy scenarios. We identify research priorities for the modeling framework, technology representation in models, policy evaluation and modeling of decision-making behavior.

  16. A simplified model of aerosol removal by natural processes in reactor containments

    SciTech Connect (OSTI)

    Powers, D.A.; Washington, K.E.; Sprung, J.L. [Sandia National Labs., Albuquerque, NM (United States); Burson, S.B. [Nuclear Regulatory Commission, Washington, DC (United States)

    1996-07-01T23:59:59.000Z

    Simplified formulae are developed for estimating the aerosol decontamination that can be achieved by natural processes in the containments of pressurized water reactors and in the drywells of boiling water reactors under severe accident conditions. These simplified formulae were derived by correlation of results of Monte Carlo uncertainty analyses of detailed models of aerosol behavior under accident conditions. Monte Carlo uncertainty analyses of decontamination by natural aerosol processes are reported for 1,000, 2,000, 3,000, and 4,000 MW(th) pressurized water reactors and for 1,500, 2,500, and 3,500 MW(th) boiling water reactors. Uncertainty distributions for the decontamination factors and decontamination coefficients as functions of time were developed in the Monte Carlo analyses by considering uncertainties in aerosol processes, material properties, reactor geometry and severe accident progression. Phenomenological uncertainties examined in this work included uncertainties in aerosol coagulation by gravitational collision, Brownian diffusion, turbulent diffusion and turbulent inertia. Uncertainties in aerosol deposition by gravitational settling, thermophoresis, diffusiophoresis, and turbulent diffusion were examined. Electrostatic charging of aerosol particles in severe accidents is discussed. Such charging could affect both the coagulation and deposition of aerosol particles. Electrostatic effects are not considered in most available models of aerosol behavior during severe accidents and cause uncertainties in predicted natural decontamination processes that could not be taken in to account in this work. Median (50%), 90 and 10% values of the uncertainty distributions for effective decontamination coefficients were correlated with time and reactor thermal power. These correlations constitute a simplified model that can be used to estimate the decontamination by natural aerosol processes at 3 levels of conservatism. Applications of the model are described.

  17. Validation of New Process Models for Large Injection-Molded Long-Fiber Thermoplastic Composite Structures

    SciTech Connect (OSTI)

    Nguyen, Ba Nghiep; Jin, Xiaoshi; Wang, Jin; Kunc, Vlastimil; Tucker III, Charles L.

    2012-02-23T23:59:59.000Z

    This report describes the work conducted under the CRADA Nr. PNNL/304 between Battelle PNNL and Autodesk whose objective is to validate the new process models developed under the previous CRADA for large injection-molded LFT composite structures. To this end, the ARD-RSC and fiber length attrition models implemented in the 2013 research version of Moldflow was used to simulate the injection molding of 600-mm x 600-mm x 3-mm plaques from 40% glass/polypropylene (Dow Chemical DLGF9411.00) and 40% glass/polyamide 6,6 (DuPont Zytel 75LG40HSL BK031) materials. The injection molding was performed by Injection Technologies, Inc. at Windsor, Ontario (under a subcontract by Oak Ridge National Laboratory, ORNL) using the mold offered by the Automotive Composite Consortium (ACC). Two fill speeds under the same back pressure were used to produce plaques under slow-fill and fast-fill conditions. Also, two gating options were used to achieve the following desired flow patterns: flows in edge-gated plaques and in center-gated plaques. After molding, ORNL performed measurements of fiber orientation and length distributions for process model validations. The structure of this report is as follows. After the Introduction (Section 1), Section 2 provides a summary of the ARD-RSC and fiber length attrition models. A summary of model implementations in the latest research version of Moldflow is given in Section 3. Section 4 provides the key processing conditions and parameters for molding of the ACC plaques. The validations of the ARD-RSC and fiber length attrition models are presented and discussed in Section 5. The conclusions will be drawn in Section 6.

  18. A generalized multi-dimensional mathematical model for charging and discharging processes in a supercapacitor

    SciTech Connect (OSTI)

    Allu, Srikanth [ORNL] [ORNL; Velamur Asokan, Badri [Exxon Mobil Research and Engineering] [Exxon Mobil Research and Engineering; Shelton, William A [Louisiana State University] [Louisiana State University; Philip, Bobby [ORNL] [ORNL; Pannala, Sreekanth [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    A generalized three dimensional computational model based on unied formulation of electrode- electrolyte-electrode system of a electric double layer supercapacitor has been developed. The model accounts for charge transport across the solid-liquid system. This formulation based on volume averaging process is a widely used concept for the multiphase ow equations ([28] [36]) and is analogous to porous media theory typically employed for electrochemical systems [22] [39] [12]. This formulation is extended to the electrochemical equations for a supercapacitor in a consistent fashion, which allows for a single-domain approach with no need for explicit interfacial boundary conditions as previously employed ([38]). In this model it is easy to introduce the spatio-temporal variations, anisotropies of physical properties and it is also conducive for introducing any upscaled parameters from lower length{scale simulations and experiments. Due to the irregular geometric congurations including porous electrode, the charge transport and subsequent performance characteristics of the super-capacitor can be easily captured in higher dimensions. A generalized model of this nature also provides insight into the applicability of 1D models ([38]) and where multidimensional eects need to be considered. In addition, simple sensitivity analysis on key input parameters is performed in order to ascertain the dependence of the charge and discharge processes on these parameters. Finally, we demonstarted how this new formulation can be applied to non-planar supercapacitors

  19. Process Modeling Phase I Summary Report for the Advanced Gas Reactor Fuel Development and Qualification Program

    SciTech Connect (OSTI)

    Pannala, Sreekanth [ORNL; Daw, C Stuart [ORNL; Boyalakuntla, Dhanunjay S [ORNL; FINNEY, Charles E A [ORNL

    2006-09-01T23:59:59.000Z

    This report summarizes the results of preliminary work at Oak Ridge National Laboratory (ORNL) to demonstrate application of computational fluid dynamics modeling to the scale-up of a Fluidized Bed Chemical Vapor Deposition (FBCVD) process for nuclear fuels coating. Specifically, this work, referred to as Modeling Scale-Up Phase I, was conducted between January 1, 2006 and March 31, 2006 in support of the Advanced Gas Reactor (AGR) Program. The objective was to develop, demonstrate and "freeze" a version of ORNL's computational model of the TRI ISOtropic (TRISO) fuel-particle coating process that can be specifically used to assist coater scale-up activities as part of the production of AGR-2 fuel. The results in this report are intended to serve as input for making decisions about initiating additional FBCVD modeling work (referred to as Modeling Scale-Up Phase II) in support of AGR-2. The main computational tool used to implement the model is the general-purpose multiphase fluid-dynamics computer code known as MFIX (Multiphase Flow with Interphase eXchanges), which is documented in detail on the DOE-sponsored website http://www.mfix.org. Additional computational tools are also being developed by ORNL for post-processing MFIX output to efficiently summarize the important information generated by the coater simulations. The summarized information includes quantitative spatial and temporal measures (referred to as discriminating characteristics, or DCs) by which different coater designs and operating conditions can be compared and correlated with trends in product quality. The ORNL FBCVD modeling work is being conducted in conjunction with experimental coater studies at ORNL with natural uranium CO (NUCO) and surrogate fuel kernels. Data are also being obtained from ambient-temperature, spouted-bed characterization experiments at the University of Tennessee and theoretical studies of carbon and silicon carbide chemical vapor deposition kinetics at Iowa State University. Prior to the current scale-up activity, considerable effort has gone in to adapting the MFIX code to incorporate the unique features of fuel coating reactors and also in validating the resulting simulation features with experimental observations. Much of this work is documented in previous AGR reports and publications (Pannala et al., 2004, Pannala et al., 2005, Boyalakuntla et al., 2005a, Boyalakuntla et al., 2005b and Finney et al., 2005). As a result of the previous work described above, the ORNL coater model now has the capability for simulating full spatio-temporal details of the gas-particle hydrodynamics and gas-particle heat and mass transfer in the TRISO coater. This capability provides a great deal of information about many of the processes believed to control quality, but the model is not yet sufficiently developed to fully predict coating quality for any given coater design and/or set of operating conditions because the detailed chemical reaction kinetics needed to make the model fully predictive are not yet available. Nevertheless, the model at its current stage of development already provides the most comprehensive and detailed quantitative information available about gas flows, solid flows, temperatures, and species inside the coater during operation. This level of information ought to be highly useful in expediting the scale-up process (e.g., in correlating observations and minimizing the number of pilot-scale tests required). However, previous work had not yet demonstrated that the typical design and/or operating changes known to affect product quality at the lab scale could be clearly discriminated by the existing model. The Modeling Scale-Up Phase I work was initiated to produce such a demonstration, and two detailed examples are discussed in this report.

  20. Moist processes and the quasi-hydrostatic approximation in a mesoscale numerical model

    E-Print Network [OSTI]

    Kennedy, Charles Joseph

    1987-01-01T23:59:59.000Z

    of Committee) James P. McGuirk (Member) J'ohn M. Klinck (Member) James R. Sco ns (Head of Department) December 1987 ABSTRACT Moist Processes and the Ouasi-Hydrostatic Approximation in a Mesoscale Numerical Model. (December 1987) Charles Joseph...HV)ds' ? gHp s + gHps a dg 1 gt = (gt), s 1 1 (19) the pressure tendency at the model top equation: g f V ~ (pHV)ds' ? VS Vp Q ( el 1 + 0 Yp CpT ? V (H0) ds' )' ? ) (20) Richardson's equation for vertical motion: s f , , f Id d'D &DDVdd ' ? 0 D, 0...

  1. A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring

    SciTech Connect (OSTI)

    Rodgers, A; Harris, D; Pasyanos, M

    2007-03-14T23:59:59.000Z

    This report describes research performed under Laboratory Research and Development Project 05-ERD-019, entitled ''A New Capability for Regional High-Frequency Seismic Wave Simulation in Realistic Three-Dimensional Earth Models to Improve Nuclear Explosion Monitoring''. A more appropriate title for this project is ''A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring''. This project supported research for a radically new approach to nuclear explosion monitoring as well as allowed the development new capabilities in computational seismology that can contribute to NNSA/NA-22 Programs.

  2. Coupled modeling of groundwater flow solute transport, chemical reactions and microbial processes in the 'SP' island

    SciTech Connect (OSTI)

    Samper, Javier; Molinero, Jorg; Changbing, Yang; Zhang, Guoxiang

    2003-12-01T23:59:59.000Z

    The Redox Zone Experiment was carried out at the Aespoe HRL in order to study the redox behavior and the hydrochemistry of an isolated vertical fracture zone disturbed by the excavation of an access tunnel. Overall results and interpretation of the Redox Zone Project were reported by /Banwart et al, 1995/. Later, /Banwart et al, 1999/ presented a summary of the hydrochemistry of the Redox Zone Experiment. Coupled groundwater flow and reactive transport models of this experiment were carried out by /Molinero, 2000/ who proposed a revised conceptual model for the hydrogeology of the Redox Zone Experiment which could explain simultaneously measured drawdown and salinity data. The numerical model was found useful to understand the natural system. Several conclusions were drawn about the redox conditions of recharge waters, cation exchange capacity of the fracture zone and the role of mineral phases such as pyrite, calcite, hematite and goethite. This model could reproduce the measured trends of dissolved species, except for bicarbonate and sulfate which are affected by microbially-mediated processes. In order to explore the role of microbial processes, a coupled numerical model has been constructed which accounts for water flow, reactive transport and microbial processes. The results of this model is presented in this report. This model accounts for groundwater flow and reactive transport in a manner similar to that of /Molinero, 2000/ and extends the preliminary microbial model of /Zhang, 2001/ by accounting for microbially-driven organic matter fermentation and organic matter oxidation. This updated microbial model considers simultaneously the fermentation of particulate organic matter by yeast and the oxidation of dissolved organic matter, a product of fermentation. Dissolved organic matter is produced by yeast and serves also as a substrate for iron-reducing bacteria. Model results reproduce the observed increase in bicarbonate and sulfate concentration, thus adding additional evidence for the possibility of organic matter oxidation as the main source of bicarbonate. Model results indicate that pH and Eh are relatively stable. The dissolution-precipitation trends of hematite, pyrite and calcite also coincide with those indicated by the conceptual model. A thorough sensitivity analysis has been performed for the most relevant microbial parameters as well as for initial and boundary POC and DOC concentrations. The results of such analysis indicate that computed concentrations of bicarbonate, sulfate and DOC are sensitive to most of the microbial parameters, including specific growth rates, half-saturation constants, proportionality coefficients and yield coefficients. Model results, however, are less sensitive to the yield coefficient of DOC to iron-reducer bacteria. The sensitivity analysis indicates that changes in fermentation microbial parameters affect the growth of the iron-reducer, thus confirming the interconnection of both microbial processes. Computed concentrations of bicarbonate and sulfate are found to be sensitive to changes in the initial concentration of POC and the boundary concentration of DOC, but they lack sensitivity to the initial concentration of DOC and the boundary concentration of POC. The explanation for such result is related to the fact that POC has a low mobility due to its large molecular weight. DOC, however, can migrate downwards. Although a coupled hydro-bio-geochemical 1-D model can reproduce the observed ''unexpected'' increase of concentrations of bicarbonate and sulfate at a depth of 70 m, further modeling work is required in order to obtain a similar conclusion under the more realistic two dimensional conditions of the fracture zone.

  3. Fast Track Reservoir Modeling of Shale Formations in the Appalachian Basin. Application to Lower Huron Shale in Eastern Kentucky

    SciTech Connect (OSTI)

    Grujic, Ognjen; Mohaghegh, Shahab; Bromhal, Grant

    2010-07-01T23:59:59.000Z

    In this paper a fast track reservoir modeling and analysis of the Lower Huron Shale in Eastern Kentucky is presented. Unlike conventional reservoir simulation and modeling which is a bottom up approach (geo-cellular model to history matching) this new approach starts by attempting to build a reservoir realization from well production history (Top to Bottom), augmented by core, well-log, well-test and seismic data in order to increase accuracy. This approach requires creation of a large spatial-temporal database that is efficiently handled with state of the art Artificial Intelligence and Data Mining techniques (AI & DM), and therefore it represents an elegant integration of reservoir engineering techniques with Artificial Intelligence and Data Mining. Advantages of this new technique are a) ease of development, b) limited data requirement (as compared to reservoir simulation), and c) speed of analysis. All of the 77 wells used in this study are completed in the Lower Huron Shale and are a part of the Big Sandy Gas field in Eastern Kentucky. Most of the wells have production profiles for more than twenty years. Porosity and thickness data was acquired from the available well logs, while permeability, natural fracture network properties, and fracture aperture data was acquired through a single well history matching process that uses the FRACGEN/NFFLOW simulator package. This technology, known as Top-Down Intelligent Reservoir Modeling, starts with performing conventional reservoir engineering analysis on individual wells such as decline curve analysis and volumetric reserves estimation. Statistical techniques along with information generated from the reservoir engineering analysis contribute to an extensive spatio-temporal database of reservoir behavior. The database is used to develop a cohesive model of the field using fuzzy pattern recognition or similar techniques. The reservoir model is calibrated (history matched) with production history from the most recently drilled wells. The calibrated model is then further used for field development strategies to improve and enhance gas recovery.

  4. Process Options Description for Vitrification Flowsheet Model of INEEL Sodium Bearing Waste

    SciTech Connect (OSTI)

    Nichols, Todd Travis; Taylor, Dean Dalton; Lauerhass, Lance; Barnes, Charles Marshall

    2001-02-01T23:59:59.000Z

    The purpose of this document is to provide the technical information to Savannah River Site (SRS) personnel that is required for the development of a basic steady-state process simulation of the vitrification treatment train of sodium bearing waste (SBW) at Idaho National Engineering and nvironmental Laboratory (INEEL). INEEL considers simulation to have an important role in the integration/optimization of treatment process trains for the High Level Waste (HLW) Program. This project involves a joint Technical Task Plan (TTP ID77WT31, Subtask C) between SRS and INEEL. The work scope of simulation is different at the two sites. This document addresses only the treatment of SBW at INEEL. The simulation model(s) is to be built by SRS for INEEL in FY-2001.

  5. Modeling the electrical resistivity of deformation processed metal-metal composites

    SciTech Connect (OSTI)

    Tian, Liang [Ames Laboratory; Anderson, Iver [Ames Laboratory; Riedemann, Trevor [Ames Laboratory; Russell, Alan [Ames Laboratory

    2014-09-01T23:59:59.000Z

    Deformation processed metal–metal (matrix–reinforcement) composites (DMMCs) are high-strength, high-conductivity in situ composites produced by severe plastic deformation. The electrical resistivity of DMMCs is rarely investigated mechanistically and tends to be slightly higher than the rule-of-mixtures prediction. In this paper, we analyze several possible physical mechanisms (i.e. phonons, interfaces, mutual solution, grain boundaries, dislocations) responsible for the electrical resistivity of DMMC systems and how these mechanisms could be affected by processing conditions (i.e. temperature, deformation processing). As an innovation, we identified and assembled the major scattering mechanisms for specific DMMC systems and modeled their electrical resistivity in combination. From this analysis, it appears that filament coarsening rather than dislocation annihilation is primarily responsible for the resistivity drop observed in these materials after annealing and that grain boundary scattering contributes to the resistivity at least at the same magnitude as does interface scattering.

  6. Shearer's point process and the hard-sphere model in one dimension

    E-Print Network [OSTI]

    Christoph Hofer-Temmel

    2015-04-10T23:59:59.000Z

    We revisit the smallest non-physical singularity of the hard-sphere model in one dimension, also known as Tonks gas. We give an explicit expression of the free energy and reduced correlations at negative real fugacity and elaborate the nature of the singularity: the free energy is right-continuous, but its derivative diverges. We derive these results in several novel ways: First, by scaling up the discrete solution. Second, by an inductive argument on the partition function \\`a la Dobrushin. Third, by a perfect cluster expansion counting the Penrose trees in the Mayer expansion perfectly. Fourth, by an explicit construction of Shearer's point process, the unique R-dependent point process with an R-hard-core. The last connection yields explicit and optimal lower bounds on the avoidance function of R-dependent point processes on the real line.

  7. Thermonuclear Processes for Three Body System in the Potential Cluster Model

    E-Print Network [OSTI]

    Dubovichenko, S B

    2015-01-01T23:59:59.000Z

    The manuscript is devoted to the description of the results obtained in the frame of the modified potential cluster model with the classification of states according to Young tableaux for neutron and proton radiative capture processes on 2H at thermal and astrophysical energies. It demonstrates methods of application that were obtained on the basis of phase shift analysis and characteristics of the bound states of 2H potentials for consideration of the radiative capture processes. First reaction of the proton capture directly takes part in the pp solar cycle, where it is the second reaction. The neutron capture is not a part of usual thermonuclear cycles in the Sun and stars, but can take part in the processes of primordial nucleosynthesis, following at formation and evolution of our entire Universe.

  8. Thermonuclear Processes for Three Body System in the Potential Cluster Model

    E-Print Network [OSTI]

    S. B. Dubovichenko; A. V. Dzhazairov-Kakhramanov

    2015-04-19T23:59:59.000Z

    The manuscript is devoted to the description of the results obtained in the frame of the modified potential cluster model with the classification of states according to Young tableaux for neutron and proton radiative capture processes on 2H at thermal and astrophysical energies. It demonstrates methods of application that were obtained on the basis of phase shift analysis and characteristics of the bound states of 2H potentials for consideration of the radiative capture processes. First reaction of the proton capture directly takes part in the pp solar cycle, where it is the second reaction. The neutron capture is not a part of usual thermonuclear cycles in the Sun and stars, but can take part in the processes of primordial nucleosynthesis, following at formation and evolution of our entire Universe.

  9. A Technical Review on Biomass Processing: Densification, Preprocessing, Modeling and Optimization

    SciTech Connect (OSTI)

    Jaya Shankar Tumuluru; Christopher T. Wright

    2010-06-01T23:59:59.000Z

    It is now a well-acclaimed fact that burning fossil fuels and deforestation are major contributors to climate change. Biomass from plants can serve as an alternative renewable and carbon-neutral raw material for the production of bioenergy. Low densities of 40–60 kg/m3 for lignocellulosic and 200–400 kg/m3 for woody biomass limits their application for energy purposes. Prior to use in energy applications these materials need to be densified. The densified biomass can have bulk densities over 10 times the raw material helping to significantly reduce technical limitations associated with storage, loading and transportation. Pelleting, briquetting, or extrusion processing are commonly used methods for densification. The aim of the present research is to develop a comprehensive review of biomass processing that includes densification, preprocessing, modeling and optimization. The specific objective include carrying out a technical review on (a) mechanisms of particle bonding during densification; (b) methods of densification including extrusion, briquetting, pelleting, and agglomeration; (c) effects of process and feedstock variables and biomass biochemical composition on the densification (d) effects of preprocessing such as grinding, preheating, steam explosion, and torrefaction on biomass quality and binding characteristics; (e) models for understanding the compression characteristics; and (f) procedures for response surface modeling and optimization.

  10. The Sulfur-Iodine Cycle: Process Analysis and Design Using Comprehensive Phase Equilibrium Measurements and Modeling

    SciTech Connect (OSTI)

    Thies, Mark C.; O'Connell, J. P.; Gorensek, Maximilian B.

    2010-01-10T23:59:59.000Z

    Of the 100+ thermochemical hydrogen cycles that have been proposed, the Sulfur-Iodine (S-I) Cycle is a primary target of international interest for the centralized production of hydrogen from nuclear power. However, the cycle involves complex and highly nonideal phase behavior at extreme conditions that is only beginning to be understood and modeled for process simulation. The consequence is that current designs and efficiency projections have large uncertainties, as they are based on incomplete data that must be extrapolated from property models. This situation prevents reliable assessment of the potential viability of the system and, even more, a basis for efficient process design. The goal of this NERI award (05-006) was to generate phase-equilibrium data, property models, and comprehensive process simulations so that an accurate evaluation of the S-I Cycle could be made. Our focus was on Section III of the Cycle, where the hydrogen is produced by decomposition of hydroiodic acid (HI) in the presence of water and iodine (I2) in a reactive distillation (RD) column. The results of this project were to be transferred to the nuclear hydrogen community in the form of reliable flowsheet models for the S-I process. Many of the project objectives were achieved. At Clemson University, a unique, tantalum-based, phase-equilibrium apparatus incorporating a view cell was designed and constructed for measuring fluid-phase equilibria for mixtures of iodine, HI, and water (known as HIx) at temperatures to 350 °C and pressures to 100 bar. Such measurements were of particular interest for developing a working understanding of the expected operation of the RD column in Section III. The view cell allowed for the IR observation and discernment of vapor-liquid (VL), liquid-liquid, and liquid-liquid-vapor (LLVE) equilibria for HIx systems. For the I2-H2O system, liquid-liquid equilibrium (LLE) was discovered to exist at temperatures up to 310-315 °C, in contrast to the models and predictions of earlier workers. For the I2-HI-H2O ternary, LLE and LLVE were all observed for the first time at temperatures of 160 and 200 °C. Three LLE tie-lines were measured at 160 °C, and preliminary indications are that the underlying phase behavior could result in further improvements in the performance of the S-I Cycle. Unfortunately, these new results were obtained too late in the project to be incorporated into the modeling and simulation work described below. At the University of Virginia, a uniquely complete and reliable model was developed for the thermodynamic properties of HIx, covering the range of conditions expected for the separation of product hydrogen and recycled iodine in the RD column located in Section III. The model was validated with all available property spectroscopy data. The results provide major advances over prior understanding of the chemical speciation involved. The model was implemented in process simulation studies of the S-I Cycle, which showed improvement in energy efficiency to 42%, as well as significantly smaller capital requirements due to lower pressure operation and much smaller equipment sizes. The result is that the S-I Cycle may be much more economically feasible than was previously thought. If both the experimental and modeling work described above were to be continued to ultimate process optimization, both the American public and the global community would benefit from this alternative energy source that does not produce carbon emissions.

  11. Experiments to Populate and Validate a Processing Model for Polyurethane Foam: Additional Data for Structural Foams.

    SciTech Connect (OSTI)

    Rao, Rekha R.; Celina, Mathias C.; Giron, Nicholas Henry; Long, Kevin Nicholas; Russick, Edward M.

    2015-01-01T23:59:59.000Z

    We are developing computational models to help understand manufacturing processes, final properties and aging of structural foam, polyurethane PMDI. Th e resulting model predictions of density and cure gradients from the manufacturing process will be used as input to foam heat transfer and mechanical models. BKC 44306 PMDI-10 and BKC 44307 PMDI-18 are the most prevalent foams used in structural parts. Experiments needed to parameterize models of the reaction kinetics and the equations of motion during the foam blowing stages were described for BKC 44306 PMDI-10 in the first of this report series (Mondy et al. 2014). BKC 44307 PMDI-18 is a new foam that will be used to make relatively dense structural supports via over packing. It uses a different catalyst than those in the BKC 44306 family of foams; hence, we expect that the reaction kineti cs models must be modified. Here we detail the experiments needed to characteriz e the reaction kinetics of BKC 44307 PMDI-18 and suggest parameters for the model based on these experiments. In additi on, the second part of this report describes data taken to provide input to the preliminary nonlinear visco elastic structural response model developed for BKC 44306 PMDI-10 foam. We show that the standard cu re schedule used by KCP does not fully cure the material, and, upon temperature elevation above 150 o C, oxidation or decomposition reactions occur that alter the composition of the foam. These findings suggest that achieving a fully cured foam part with this formulation may be not be possible through therma l curing. As such, visco elastic characterization procedures developed for curing thermosets can provide only approximate material properties, since the state of the material continuously evolves during tests.

  12. Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring

    E-Print Network [OSTI]

    Ryan, Sarah M.

    1 Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring Index terms--Optimal replacement, proportional hazards model, semi-Markov process, threshold replacement policy, sensitivity analysis SUMMARY This paper deals with the optimal

  13. A model of the thermal processing of particles in solar nebula shocks: Application to the cooling rates of chondrules

    E-Print Network [OSTI]

    Connolly Jr, Harold C.

    A model of the thermal processing of particles in solar nebula shocks: Application to the cooling for the thermal processing of particles in shock waves typical of the solar nebula. This shock model improves are accounted for in their ef fects on the mass, momentum and energy fluxes. Also, besides thermal exchange

  14. Dealing with power games in a companion modelling process: lessons from community water management in Thailand highlands

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    with power games in a companion modelling process: lessons from community water management in Thailand facilitation methods that helped to manage power asymmetries and to level the playing field but we also discuss1 Dealing with power games in a companion modelling process: lessons from community water

  15. Mathematical model of cavitation during resin lm infusion process I. Sevostianov a,*, V.E. Verijenko b

    E-Print Network [OSTI]

    Sevostianov, Igor

    Mathematical model of cavitation during resin ®lm infusion process I. Sevostianov a,*, V ®lm infusion (RFI) process. An analytical model is developed to describe the cavitation conditions formation; Resin ®lm infusion 1. Introduction The resin ®lm infusion (RFI) method of producing composite

  16. Modeling delay in genetic networks: From delay birth-death processes to delay stochastic differential equations

    SciTech Connect (OSTI)

    Gupta, Chinmaya; López, José Manuel; Azencott, Robert; Ott, William [Department of Mathematics, University of Houston, Houston, Texas 77004 (United States); Bennett, Matthew R. [Department of Biochemistry and Cell Biology, Rice University, Houston, Texas 77204, USA and Institute of Biosciences and Bioengineering, Rice University, Houston, Texas 77005 (United States); Josi?, Krešimir [Department of Mathematics, University of Houston, Houston, Texas 77004 (United States); Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204 (United States)

    2014-05-28T23:59:59.000Z

    Delay is an important and ubiquitous aspect of many biochemical processes. For example, delay plays a central role in the dynamics of genetic regulatory networks as it stems from the sequential assembly of first mRNA and then protein. Genetic regulatory networks are therefore frequently modeled as stochastic birth-death processes with delay. Here, we examine the relationship between delay birth-death processes and their appropriate approximating delay chemical Langevin equations. We prove a quantitative bound on the error between the pathwise realizations of these two processes. Our results hold for both fixed delay and distributed delay. Simulations demonstrate that the delay chemical Langevin approximation is accurate even at moderate system sizes. It captures dynamical features such as the oscillatory behavior in negative feedback circuits, cross-correlations between nodes in a network, and spatial and temporal information in two commonly studied motifs of metastability in biochemical systems. Overall, these results provide a foundation for using delay stochastic differential equations to approximate the dynamics of birth-death processes with delay.

  17. I2S2 Idealised Scientific Research Activity Lifecycle Model The model represents the processes and phases of a typical physical science

    E-Print Network [OSTI]

    Rzepa, Henry S.

    I2S2 Idealised Scientific Research Activity Lifecycle Model The model represents the processes include: development of the research proposal; its peer-review; carrying out of the experiment; equipment configuration and calibration data; processing software and associated control parameters; wikis

  18. Rolling Process Modeling Report: Finite-Element Prediction of Roll Separating Force and Rolling Defects

    SciTech Connect (OSTI)

    Soulami, Ayoub; Lavender, Curt A.; Paxton, Dean M.; Burkes, Douglas

    2014-04-23T23:59:59.000Z

    Pacific Northwest National Laboratory (PNNL) has been investigating manufacturing processes for the uranium-10% molybdenum (U-10Mo) alloy plate-type fuel for the U.S. high-performance research reactors. This work supports the Convert Program of the U.S. Department of Energy’s National Nuclear Security Administration (DOE/NNSA) Global Threat Reduction Initiative. This report documents modeling results of PNNL’s efforts to perform finite-element simulations to predict roll separating forces and rolling defects. Simulations were performed using a finite-element model developed using the commercial code LS-Dyna. Simulations of the hot rolling of U-10Mo coupons encapsulated in low-carbon steel have been conducted following two different schedules. Model predictions of the roll-separation force and roll-pack thicknesses at different stages of the rolling process were compared with experimental measurements. This report discusses various attributes of the rolled coupons revealed by the model (e.g., dog-boning and thickness non-uniformity).

  19. Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China

    SciTech Connect (OSTI)

    Wang, Peijuan; Xie, Donghui; Zhou, Yuyu; E, Youhao; Zhu, Qijiang

    2014-01-16T23:59:59.000Z

    The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a challenging and sustaining job to keep the ecological structure and improve its ecological function. Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity simulator (BEPS) model provides the possibility of NPP modeling in terrestrial ecosystem, but it has some limitations for application in arid and semi-arid regions. In this paper we improve the BEPS model, in terms of its water cycle by adding the processes of infiltration and surface runoff, to be applicable in arid and semi-arid regions. We model the NPP of forest, grass, and crop in Gansu Province as an experimental area in Northwest China in 2003 using the improved BEPS model, parameterized with moderate resolution remote sensing imageries and meteorological data. The modeled NPP using improved BEPS agrees better with the ground measurements in Qilian Mountain than that with original BEPS, with a higher R2 of 0.746 and lower root mean square error (RMSE) of 46.53 gC/m2 compared to R2 of 0.662 and RMSE of 60.19 gC/m2 from original BEPS. The modeled NPP of three vegetation types using improved BEPS show evident differences compared to that using original BEPS, with the highest difference ratio of 9.21% in forest and the lowest value of 4.29% in crop. The difference ratios between different vegetation types lie on the dependence on natural water sources. The modeled NPP in five geographic zones using improved BEPS are higher than those with original BEPS, with higher difference ratio in dry zones and lower value in wet zones.

  20. Geant4 Model Validation of Compton Suppressed System for Process monitoring of Spent Fuel

    SciTech Connect (OSTI)

    Bender, Sarah; Unlu, Kenan; Orton, Christopher R.; Schwantes, Jon M.

    2013-05-01T23:59:59.000Z

    Nuclear material accountancy is of continuous concern for the regulatory, safeguards, and verification communities. In particular, spent nuclear fuel reprocessing facilities pose one of the most difficult accountancy challenges: monitoring highly radioactive, fluid sample streams in near real-time. The Multi-Isotope Process monitor will allow for near-real-time indication of process alterations using passive gamma-ray detection coupled with multivariate analysis techniques to guard against potential material diversion or to enhance domestic process monitoring. The Compton continuum from the dominant 661.7 keV 137Cs fission product peak obscures lower energy lines which could be used for spectral and multivariate analysis. Compton suppression may be able to mitigate the challenges posed by the high continuum caused by scattering. A Monte Carlo simulation using the Geant4 toolkit is being developed to predict the expected suppressed spectrum from spent fuel samples to estimate the reduction in the Compton continuum. Despite the lack of timing information between decay events in the particle management of Geant4, encouraging results were recorded utilizing only the information within individual decays without accounting for accidental coincidences. The model has been validated with single and cascade decay emitters in two steps: as an unsuppressed system and with suppression activated. Results of the Geant4 model validation will be presented.

  1. Integration of geostatistical techniques and intuitive geology in the 3-D modeling process

    SciTech Connect (OSTI)

    Heine, C.J.; Cooper, D.H. (Saudi ARAMCO, Dhahran (Saudi Arabia))

    1996-01-01T23:59:59.000Z

    The development of 3-D geologic models for reservoir description and simulation has traditionally relied on the computer derived interpolation of well data in a geocelluar stratigraphic framework. The quality of the interpolation has been directly dependent on the nature of the interpolation method, and ability of the Interpolation scheme to accurately predict the value of geologic attributes away from the well. Typically, interpolation methods employ deterministic or geostatistical algorithms which offer limited capacity for Integrating data derived from secondary analyses. These secondary analyses, which might include the results from 3-D seismic inversion, borehole imagery studies, or deductive reasoning, introduce a subjective component into what would otherwise be restricted to a purely mathematical treatment of geologic data. At Saudi ARAMCO an increased emphases is being placed on the role of the reservoir geologist in the development of 3-D geologic models. Quantitative results, based on numerical computations, are being enhanced with intuitive geology, derived from years of cumulative professional experience and expertise. Techniques such as template modeling and modified conditional simulation, are yielding 3-D geologic models, which not only more accurately reflect the geology of the reservoir, but also preserve geologic detail throughout the simulation process. This incorporation of secondary data sources and qualitative analysis has been successfully demonstrated in a clastic reservoir environment in Central Saudi Arabia, and serves as a prototype for future 3-D geologic model development.

  2. Integration of geostatistical techniques and intuitive geology in the 3-D modeling process

    SciTech Connect (OSTI)

    Heine, C.J.; Cooper, D.H. [Saudi ARAMCO, Dhahran (Saudi Arabia)

    1995-08-01T23:59:59.000Z

    The development of 3-D geologic models for reservoir description and simulation has traditionally relied on the computer derived interpolation of well data in a geocelluar stratigraphic framework. The quality of the interpolation has been directly dependent on the nature of the interpolation method, and ability of the interpolation scheme to accurately predict the value of geologic attributes away from the well. Typically, interpolation methods employ deterministic or geostatistical algorithms which offer limited capacity for integrating data derived from secondary analyses. These secondary analyses, which might include the results from 3-D seismic inversion, borehole imagery studies, or deductive reasoning, introduce a subjective component into what would otherwise be restricted to a purely mathematical treatment of geologic data. At Saudi ARAMCO an increased emphasis is being placed on the role of the reservoir geologist in the development of 3-D geologic models. Quantitative results, based on numerical computations, are being enhanced with intuitive geology, derived from years of cumulative professional experience and expertise. Techniques such as template modeling and modified conditional simulation, are yielding 3-D geologic models, which not only more accurately reflect the geology of the reservoir, but also preserve geologic detail throughout the simulation process. This incorporation of secondary data sources and qualitative analysis has been successfully demonstrated in a clastic reservoir environment in Central Saudi Arabia, and serves as a prototype for future 3-D geologic model development.

  3. Integration of geostatistical techniques and intuitive geology in the 3-D modeling process

    SciTech Connect (OSTI)

    Heine, C.J.; Cooper, D.H. [Saudi ARAMCO, Dhahran (Saudi Arabia)

    1996-12-31T23:59:59.000Z

    The development of 3-D geologic models for reservoir description and simulation has traditionally relied on the computer derived interpolation of well data in a geocelluar stratigraphic framework. The quality of the interpolation has been directly dependent on the nature of the interpolation method, and ability of the Interpolation scheme to accurately predict the value of geologic attributes away from the well. Typically, interpolation methods employ deterministic or geostatistical algorithms which offer limited capacity for Integrating data derived from secondary analyses. These secondary analyses, which might include the results from 3-D seismic inversion, borehole imagery studies, or deductive reasoning, introduce a subjective component into what would otherwise be restricted to a purely mathematical treatment of geologic data. At Saudi ARAMCO an increased emphases is being placed on the role of the reservoir geologist in the development of 3-D geologic models. Quantitative results, based on numerical computations, are being enhanced with intuitive geology, derived from years of cumulative professional experience and expertise. Techniques such as template modeling and modified conditional simulation, are yielding 3-D geologic models, which not only more accurately reflect the geology of the reservoir, but also preserve geologic detail throughout the simulation process. This incorporation of secondary data sources and qualitative analysis has been successfully demonstrated in a clastic reservoir environment in Central Saudi Arabia, and serves as a prototype for future 3-D geologic model development.

  4. Irreversible Processes in a Universe modelled as a mixture of a Chaplygin gas and radiation

    E-Print Network [OSTI]

    G. M. Kremer

    2003-03-26T23:59:59.000Z

    The evolution of a Universe modelled as a mixture of a Chaplygin gas and radiation is determined by taking into account irreversible processes. This mixture could interpolate periods of a radiation dominated, a matter dominated and a cosmological constant dominated Universe. The results of a Universe modelled by this mixture are compared with the results of a mixture whose constituents are radiation and quintessence. Among other results it is shown that: (a) for both models there exists a period of a past deceleration with a present acceleration; (b) the slope of the acceleration of the Universe modelled as a mixture of a Chaplygin gas with radiation is more pronounced than that modelled as a mixture of quintessence and radiation; (c) the energy density of the Chaplygin gas tends to a constant value at earlier times than the energy density of quintessence does; (d) the energy density of radiation for both mixtures coincide and decay more rapidly than the energy densities of the Chaplygin gas and of quintessence.

  5. FATE Unified Modeling Method for Spent Nuclear Fuel and Sludge Processing, Shipping and Storage - 13405

    SciTech Connect (OSTI)

    Plys, Martin; Burelbach, James; Lee, Sung Jin; Apthorpe, Robert [Fauske and Associates, LLC, 16W070 83rd St., Burr Ridge, IL, 60527 (United States)] [Fauske and Associates, LLC, 16W070 83rd St., Burr Ridge, IL, 60527 (United States)

    2013-07-01T23:59:59.000Z

    A unified modeling method applicable to the processing, shipping, and storage of spent nuclear fuel and sludge has been incrementally developed, validated, and applied over a period of about 15 years at the US DOE Hanford site. The software, FATE{sup TM}, provides a consistent framework for a wide dynamic range of common DOE and commercial fuel and waste applications. It has been used during the design phase, for safety and licensing calculations, and offers a graded approach to complex modeling problems encountered at DOE facilities and abroad (e.g., Sellafield). FATE has also been used for commercial power plant evaluations including reactor building fire modeling for fire PRA, evaluation of hydrogen release, transport, and flammability for post-Fukushima vulnerability assessment, and drying of commercial oxide fuel. FATE comprises an integrated set of models for fluid flow, aerosol and contamination release, transport, and deposition, thermal response including chemical reactions, and evaluation of fire and explosion hazards. It is one of few software tools that combine both source term and thermal-hydraulic capability. Practical examples are described below, with consideration of appropriate model complexity and validation. (authors)

  6. Physiochemical Evidence of Faulting Processes and Modeling of Fluid in Evolving Fault Systems in Southern California

    SciTech Connect (OSTI)

    Boles, James [Professor

    2013-05-24T23:59:59.000Z

    Our study targets recent (Plio-Pleistocene) faults and young (Tertiary) petroleum fields in southern California. Faults include the Refugio Fault in the Transverse Ranges, the Ellwood Fault in the Santa Barbara Channel, and most recently the Newport- Inglewood in the Los Angeles Basin. Subsurface core and tubing scale samples, outcrop samples, well logs, reservoir properties, pore pressures, fluid compositions, and published structural-seismic sections have been used to characterize the tectonic/diagenetic history of the faults. As part of the effort to understand the diagenetic processes within these fault zones, we have studied analogous processes of rapid carbonate precipitation (scaling) in petroleum reservoir tubing and manmade tunnels. From this, we have identified geochemical signatures in carbonate that characterize rapid CO2 degassing. These data provide constraints for finite element models that predict fluid pressures, multiphase flow patterns, rates and patterns of deformation, subsurface temperatures and heat flow, and geochemistry associated with large fault systems.

  7. Modelling of post-fragmentation waste stream processing within UK shredder facilities

    SciTech Connect (OSTI)

    Coates, Gareth [Centre for Sustainable Manufacturing and Reuse/Recycling Technologies (SMART), Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU (United Kingdom)], E-mail: G.Coates@lboro.ac.uk; Rahimifard, Shahin [Centre for Sustainable Manufacturing and Reuse/Recycling Technologies (SMART), Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU (United Kingdom)

    2009-01-15T23:59:59.000Z

    With the introduction of producer responsibility legislation within the UK (i.e., waste electrical and electronic equipment directive and end-of-life vehicles directive), specific recycling and recovery targets have been imposed to improve the sustainability of end-of-life products. With the introduction of these targets, and the increased investment in post-fragmentation facilities, automated material separation technologies are playing an integral role within the UK's end-of-life waste management strategy. Post-fragmentation facilities utilise a range of purification technologies that target certain material attributes (e.g., density, magnetism, volume) to isolate materials from the shredded waste stream. High ferrous prices have historically meant that UK facilities have been primarily interested in recovering iron and steel, establishing processing routes that are very effective at removing these material types, but as a consequence are extremely rigid and inflexible. With the proliferation of more exotic materials within end-of-life products, combined with more stringent recycling targets, there is therefore a need to optimise the current waste reclamation processes to better realise effort-to-value returns. This paper provides a background as to the current post-fragmentation processing adopted within the UK, and describes the development of a post-fragmentation modelling approach, capable of simulating the value-added processing that a piece of automated separation equipment can have on a fragmented waste stream. These include the modelling of the inefficiencies of the technology, the effects of material entanglement on separation, determination of typical material sizing and an appreciation for compositional value. The implementation of this approach within a software decision-support system is described, before the limitations, calibration and further validation of the approach are discussed.

  8. A process model for the heat-affected zone microstructure evolution in duplex stainless steel weldments: Part I. The model

    SciTech Connect (OSTI)

    Hemmer, H.; Grong, O.

    1999-11-01T23:59:59.000Z

    The present investigation is concerned with modeling of the microstructure evolution in duplex stainless steels under thermal conditions applicable to welding. The important reactions that have been modeled are the dissolution of austenite during heating, subsequent grain growth in the delta ferrite regime, and finally, the decomposition of the delta ferrite to austenite during cooling. As a starting point, a differential formulation of the underlying diffusion problem is presented, based on the internal-state variable approach. These solutions are later manipulated and expressed in terms of the Scheil integral in the cases where the evolution equation is separable or can be made separable by a simple change of variables. The models have then been applied to describe the heat-affected zone microstructure evolution during both thick-plate and thin-plate welding of three commercial duplex stainless steel grades: 2205, 2304, and 2507. The results may conveniently be presented in the form of novel process diagrams, which display contours of constant delta ferrite grain size along with information about dissolution and reprecipitation of austenite for different combinations of weld input energy and peak temperature. These diagrams are well suited for quantitative readings and illustrate, in a condensed manner, the competition between the different variables that lead to structural changes during welding of duplex stainless steels.

  9. Ridge, Bulk, and Medium Response: How to Kill Models and Learn Something in the Process

    E-Print Network [OSTI]

    J. L. Nagle

    2009-09-15T23:59:59.000Z

    In these proceedings, we highlight experimental data (published and preliminary) related to jet quenching and the response of the medium to this deposited energy. Signatures in two- and three- particle hadron correlations indicate interesting structures near the trigger particle in azimuth and over a broad range in pseudo-rapidity, often termed "the ridge", and conical-like structures separated in azimuth opposite to the trigger particle. We review numerous theoretical interpretations of the ridge in particular with a critical eye for the key properties that allow one to discriminate between, or rule out, certain physical pictures and models (and hopefully learn something in the process).

  10. Need to understand "Uncertainty Assessment" in the system development modeling process

    E-Print Network [OSTI]

    Kardile, Vilas Vasantrao

    2011-01-01T23:59:59.000Z

    In the early stage of software life cycle project manager are inefficient to estimate the effort, schedule, cost estimation and its development approach .This in turn, confuses the manager to bid effectively on software project and choose incorrect development approach. That will directly effect on productivity cycle and increase level of uncertainty. This becomes a strong cause of project failure. So to avoid such problem if we know level and sources of uncertainty in model design, It will directive the developer to design accurate software cost and schedule estimation. Which are essential for software project success . However once the required efforts have estimated, little is done to recalibrate and reduce the uncertainty of the initial estimates. This paper demonstrates terminology and typology of uncertainty is presented together with a framework for the modeling process, Brief reviews have been made of 14 different (partly complementary) methods commonly used in uncertainty assessment its interaction w...

  11. Theoretical and Experimental Modelling of Bubble Formation with Connected Capillaries in Liquid Composite Moulding Processes

    E-Print Network [OSTI]

    Wielhorski, Yanneck; Bizet, Laurent; Bréard, Joël

    2012-01-01T23:59:59.000Z

    The void prediction in LCM processes sparks off interest within the composite material industry because it is a significant issue to keep the expected mechanical properties. The liquid properties, the preform geometry and the flow conditions impact the quantity of void entrapped inside the final product. The complex geometry of the reinforcement due to the arrangement of the bundles and the fibres is a key point to understand and quantify this phenomenon. This paper deals with both simple model networks which can occur inside a fabric representing connected capillaries, so-called "Pore Doublet Model (PDM)". A first is considering two capillaries converging on a node (T-junction) and a second is representing two capillaries interconnected with a supplying principle. These configurations can affect locally the evolution of flow fronts. First, experiments of bubble formed in a T-junction device have been performed and studied. Then a theoretical approach was proposed to forecast microvoid and macrovoid formation...

  12. Quantum Chemistry for Solvated Molecules on Graphical Processing Units (GPUs)using Polarizable Continuum Models

    E-Print Network [OSTI]

    Liu, Fang; Kulik, Heather J; Martínez, Todd J

    2015-01-01T23:59:59.000Z

    The conductor-like polarization model (C-PCM) with switching/Gaussian smooth discretization is a widely used implicit solvation model in chemical simulations. However, its application in quantum mechanical calculations of large-scale biomolecular systems can be limited by computational expense of both the gas phase electronic structure and the solvation interaction. We have previously used graphical processing units (GPUs) to accelerate the first of these steps. Here, we extend the use of GPUs to accelerate electronic structure calculations including C-PCM solvation. Implementation on the GPU leads to significant acceleration of the generation of the required integrals for C-PCM. We further propose two strategies to improve the solution of the required linear equations: a dynamic convergence threshold and a randomized block-Jacobi preconditioner. These strategies are not specific to GPUs and are expected to be beneficial for both CPU and GPU implementations. We benchmark the performance of the new implementat...

  13. MODELING OF PLUTONIUM RECOVERY AND DISCARD PROCESSES FOR THE PURPOSE OF SELECTING OPTIMUM (MINIMUM WASTE, COST AND DOSE) RESIDUE DISPOSITIONS

    SciTech Connect (OSTI)

    M. A. ROBINSON; M. B. KINKER; ET AL

    2001-04-01T23:59:59.000Z

    Researchers have developed a quantitative basis for disposition of actinide-bearing process residues. Research included the development of a technical rationale for determining when residues could be considered unattractive for proliferation purposes, and establishing plutonium-concentration-based discard ceilings of unimmobilized residues and richer discard ceilings for immobilized monolithic waste forms. Further quantitative analysis (process modeling) identifies the plutonium (Pu) concentration at which residues should be discarded to immobilization in order to minimize the quantifiable negative consequences of residue processing (cost, waste, dose). Results indicate that optimum disposition paths can be identified by process modeling, and that across-the-board discard decisions maximize negative consequences.

  14. MODELING THE FORMATION OF GIANT PLANET CORES. I. EVALUATING KEY PROCESSES

    SciTech Connect (OSTI)

    Levison, Harold F. [Southwest Research Institute, 1050 Walnut Street, Suite 300, Boulder, CO 80302 (United States); Thommes, Edward [Department of Physics, University of Guelph, Guelph, Ontario N1G 2W1 (Canada); Duncan, Martin J. [Department of Physics, Queen's University, Kingston, Ontario K7L 3N6 (Canada)], E-mail: hal@boulder.swri.edu

    2010-04-15T23:59:59.000Z

    One of the most challenging problems we face in our understanding of planet formation is how Jupiter and Saturn could have formed before the solar nebula dispersed. The most popular model of giant planet formation is the so-called core accretion model. In this model a large planetary embryo formed first, mainly by two-body accretion. This is then followed by a period of inflow of nebular gas directly onto the growing planet. The core accretion model has an Achilles heel, namely the very first step. We have undertaken the most comprehensive study of this process to date. In this study, we numerically integrate the orbits of a number of planetary embryos embedded in a swarm of planetesimals. In these experiments, we have included a large number of physical processes that might enhance accretion. In particular, we have included (1) aerodynamic gas drag, (2) collisional damping between planetesimals, (3) enhanced embryo cross sections due to their atmospheres, (4) planetesimal fragmentation, and (5) planetesimal-driven migration. We find that the gravitational interaction between the embryos and the planetesimals leads to the wholesale redistribution of material-regions are cleared of material and gaps open near the embryos. Indeed, in 90% of our simulations without fragmentation, the region near those embryos is cleared of planetesimals before much growth can occur. Thus, the widely used assumption that the surface density distribution of planetesimals is smooth can lead to misleading results. In the remaining 10% of our simulations, the embryos undergo a burst of outward migration that significantly increases growth. On timescales of {approx}10{sup 5} years, the outer embryo can migrate {approx}6 AU and grow to roughly 30 M {sub +}. This represents a largely unexplored mode of core formation. We also find that the inclusion of planetesimal fragmentation tends to inhibit growth except for a narrow range of fragment migration rates.

  15. Modeling Wettability Alteration using Chemical EOR Processes in Naturally Fractured Reservoirs

    SciTech Connect (OSTI)

    Mojdeh Delshad; Gary A. Pope; Kamy Sepehrnoori

    2007-09-30T23:59:59.000Z

    The objective of our search is to develop a mechanistic simulation tool by adapting UTCHEM to model the wettability alteration in both conventional and naturally fractured reservoirs. This will be a unique simulator that can model surfactant floods in naturally fractured reservoir with coupling of wettability effects on relative permeabilities, capillary pressure, and capillary desaturation curves. The capability of wettability alteration will help us and others to better understand and predict the oil recovery mechanisms as a function of wettability in naturally fractured reservoirs. The lack of a reliable simulator for wettability alteration means that either the concept that has already been proven to be effective in the laboratory scale may never be applied commercially to increase oil production or the process must be tested in the field by trial and error and at large expense in time and money. The objective of Task 1 is to perform a literature survey to compile published data on relative permeability, capillary pressure, dispersion, interfacial tension, and capillary desaturation curve as a function of wettability to aid in the development of petrophysical property models as a function of wettability. The new models and correlations will be tested against published data. The models will then be implemented in the compositional chemical flooding reservoir simulator, UTCHEM. The objective of Task 2 is to understand the mechanisms and develop a correlation for the degree of wettability alteration based on published data. The objective of Task 3 is to validate the models and implementation against published data and to perform 3-D field-scale simulations to evaluate the impact of uncertainties in the fracture and matrix properties on surfactant alkaline and hot water floods.

  16. Process Options Description for Vitrification Flowsheet Model of INEEL Sodium Bearing Waste

    SciTech Connect (OSTI)

    Nichols, T.T.; Taylor, D.D.; Lauerhass, L.; Barnes, C.M.

    2002-02-21T23:59:59.000Z

    The technical information required for the development of a basic steady-state process simulation of the vitrification treatment train of sodium bearing waste (SBW) at Idaho National Engineering and Environmental Laboratory (INEEL) is presented. The objective of the modeling effort is to provide the predictive capability required to optimize an entire treatment train and assess system-wide impacts of local changes at individual unit operations, with the aim of reducing the schedule and cost of future process/facility design efforts. All the information required a priori for engineers to construct and link unit operation modules in a commercial software simulator to represent the alternative treatment trains is presented. The information is of a mid- to high-level nature and consists of the following: (1) a description of twenty-four specific unit operations--their operating conditions and constraints, primary species and key outputs, and the initial modeling approaches that will be used in the first year of the simulation's development; (2) three potential configurations of the unit operations (trains) and their interdependencies via stream connections; and (3) representative stream compositional makeups.

  17. Modeling of the reburning process using sewage sludge-derived syngas

    SciTech Connect (OSTI)

    Werle, Sebastian, E-mail: sebastian.werle@polsl.pl [Institute of Thermal Technology, Silesian University of Technology at Gliwice, 44-100 Gliwice, Konarskiego 22 (Poland)

    2012-04-15T23:59:59.000Z

    Highlights: Black-Right-Pointing-Pointer Gasification provides an attractive method for sewage sludges treatment. Black-Right-Pointing-Pointer Gasification generates a fuel gas (syngas) which can be used as a reburning fuel. Black-Right-Pointing-Pointer Reburning potential of sewage sludge gasification gases was defined. Black-Right-Pointing-Pointer Numerical simulation of co-combustion of syngases in coal fired boiler has been done. Black-Right-Pointing-Pointer Calculation shows that analysed syngases can provide higher than 80% reduction of NO{sub x}. - Abstract: Gasification of sewage sludge can provide clean and effective reburning fuel for combustion applications. The motivation of this work was to define the reburning potential of the sewage sludge gasification gas (syngas). A numerical simulation of the co-combustion process of syngas in a hard coal-fired boiler was done. All calculations were performed using the Chemkin programme and a plug-flow reactor model was used. The calculations were modelled using the GRI-Mech 2.11 mechanism. The highest conversions for nitric oxide (NO) were obtained at temperatures of approximately 1000-1200 K. The combustion of hard coal with sewage sludge-derived syngas reduces NO emissions. The highest reduction efficiency (>90%) was achieved when the molar flow ratio of the syngas was 15%. Calculations show that the analysed syngas can provide better results than advanced reburning (connected with ammonia injection), which is more complicated process.

  18. Transactions of NAMRI/SME 543 Volume XXX, 2002 MICRO-SCALE LASER SHOCK PROCESSING MODELING, TESTING,

    E-Print Network [OSTI]

    Yao, Y. Lawrence

    Transactions of NAMRI/SME 543 Volume XXX, 2002 MICRO-SCALE LASER SHOCK PROCESSING ­ MODELING of NAMRI/SME 544 Volume XXX, 2002 implicitly assumed. Effects of finite size and complex geometry

  19. FRONTEND POST-PROCESSING AND BACKEND MODEL ENHANCEMENT ON THE AURORA 2.0/3.0 DATABASES

    E-Print Network [OSTI]

    Washington at Seattle, University of

    FRONTEND POST-PROCESSING AND BACKEND MODEL ENHANCEMENT ON THE AURORA 2.0/3.0 DATABASES Chia noise- robust front end based on novel post-processing of standard MFCC features on the Aurora databases. It performs remarkably well on both the Aurora 2.0 and Aurora 3.0 databases without requiring any increase

  20. Model-Based Control of Nonlinear Systems Subject to Sensor Data Losses: A Chemical Process Case Study

    E-Print Network [OSTI]

    Sontag, Eduardo

    Model-Based Control of Nonlinear Systems Subject to Sensor Data Losses: A Chemical Process Case, Los Angeles, CA 90095-1592, USA, davidmps@ucla.edu, pdc@seas.ucla.edu. Controller Process x Data feedback control of nonlinear uncertain systems subject to sensor data losses. We compare three different

  1. COMMUNICATING SEQUENTIAL PROCESSES C.A.R. Hoare's Communicating Sequential Processes CSP is a model-language

    E-Print Network [OSTI]

    Filman, Robert E.

    CSP is a model-language hybrid for describing concurrent and distributed computation. A CSP program the corresponding primitive. Guarded commands are used to introduce indeterminacy. CSP is a language fragment of CSP have been with issues of program correctness and operating systems description. CSP shows its

  2. Modeling of hydrologic conditions and solute movement in processed oil shale waste embankments under simulated climatic conditions

    SciTech Connect (OSTI)

    Reeves, T.L.; Turner, J.P.; Hasfurther, V.R.; Skinner, Q.D.

    1992-06-01T23:59:59.000Z

    The scope of this program is to study interacting hydrologic, geotechnical, and chemical factors affecting the behavior and disposal of combusted processed oil shale. The research combines bench-scale testing with large scale research sufficient to describe commercial scale embankment behavior. The large scale approach was accomplished by establishing five lysimeters, each 7.3 {times} 3.0 {times} 3.0 m deep, filled with processed oil shale that has been retorted and combusted by the Lurgi-Ruhrgas (Lurgi) process. Approximately 400 tons of Lurgi processed oil shale waste was provided by RBOSC to carry out this study. Research objectives were designed to evaluate hydrologic, geotechnical, and chemical properties and conditions which would affect the design and performance of large-scale embankments. The objectives of this research are: assess the unsaturated movement and redistribution of water and the development of potential saturated zones and drainage in disposed processed oil shale under natural and simulated climatic conditions; assess the unsaturated movement of solubles and major chemical constituents in disposed processed oil shale under natural and simulated climatic conditions; assess the physical and constitutive properties of the processed oil shale and determine potential changes in these properties caused by disposal and weathering by natural and simulated climatic conditions; assess the use of previously developed computer model(s) to describe the infiltration, unsaturated movement, redistribution, and drainage of water in disposed processed oil shale; evaluate the stability of field scale processed oil shale solid waste embankments using computer models.

  3. Modeling of hydrologic conditions and solute movement in processed oil shale waste embankments under simulated climatic conditions

    SciTech Connect (OSTI)

    Reeves, T.L.; Turner, J.P.; Hasfurther, V.R.; Skinner, Q.D.

    1992-06-01T23:59:59.000Z

    The scope of this program is to study interacting hydrologic, geotechnical, and chemical factors affecting the behavior and disposal of combusted processed oil shale. The research combines bench-scale testing with large scale research sufficient to describe commercial scale embankment behavior. The large scale approach was accomplished by establishing five lysimeters, each 7.3 [times] 3.0 [times] 3.0 m deep, filled with processed oil shale that has been retorted and combusted by the Lurgi-Ruhrgas (Lurgi) process. Approximately 400 tons of Lurgi processed oil shale waste was provided by RBOSC to carry out this study. Research objectives were designed to evaluate hydrologic, geotechnical, and chemical properties and conditions which would affect the design and performance of large-scale embankments. The objectives of this research are: assess the unsaturated movement and redistribution of water and the development of potential saturated zones and drainage in disposed processed oil shale under natural and simulated climatic conditions; assess the unsaturated movement of solubles and major chemical constituents in disposed processed oil shale under natural and simulated climatic conditions; assess the physical and constitutive properties of the processed oil shale and determine potential changes in these properties caused by disposal and weathering by natural and simulated climatic conditions; assess the use of previously developed computer model(s) to describe the infiltration, unsaturated movement, redistribution, and drainage of water in disposed processed oil shale; evaluate the stability of field scale processed oil shale solid waste embankments using computer models.

  4. Structural Patterns for the Transformation of Business Process Models This research has partly been funded by the Austrian Federal Ministry for Education, Science, and Culture,

    E-Print Network [OSTI]

    Structural Patterns for the Transformation of Business Process Models This research has partly@wit.tuwien.ac.at Abstract Due to company mergers and business to business interoperability, there is a need for model transformations in the area of business process modeling to facilitate scenarios like model integration and model

  5. Virtual control system environment: A modeling and simulation tool for process control systems

    SciTech Connect (OSTI)

    Lee, E.; Michalski, J.; Sholander, P.; Van Leeuwen, B. [Sandia National Laboratories, Albuquerque, NM 87111 (United States)

    2006-07-01T23:59:59.000Z

    The development of tools and techniques for security testing and performance testing of Process Control Systems (PCS) is needed since those systems are vulnerable to the same classes of threats as other networked computer systems. In practice, security testing is difficult to perform on operational PCS because it introduces an unacceptable risk of disruption to the critical systems (e.g., power grids) that they control. In addition, the hardware used in PCS is often expensive, making full-scale mockup systems for live experiments impractical. A more flexible approach to these problems can be provided through test beds that provide the proper mix of real, emulated, and virtual elements to model large, complex systems such as critical infrastructures. This paper describes a 'Virtual Control System Environment' that addresses these issues. (authors)

  6. Performance and cost models for the direct sulfur recovery process. Task 1 Topical report, Volume 3

    SciTech Connect (OSTI)

    Frey, H.C. [North Carolina State Univ., Raleigh, NC (United States); Williams, R.B. [Carneigie Mellon Univ., Pittsburgh, PA (United States)

    1995-09-01T23:59:59.000Z

    The purpose of this project is to develop performance and cost models of the Direct Sulfur Recovery Process (DSRP). The DSRP is an emerging technology for sulfur recovery from advanced power generation technologies such as Integrated Gasification Combined Cycle (IGCC) systems. In IGCC systems, sulfur present in the coal is captured by gas cleanup technologies to avoid creating emissions of sulfur dioxide to the atmosphere. The sulfur that is separated from the coal gas stream must be collected. Leading options for dealing with the sulfur include byproduct recovery as either sulfur or sulfuric acid. Sulfur is a preferred byproduct, because it is easier to handle and therefore does not depend as strongly upon the location of potential customers as is the case for sulfuric acid. This report describes the need for new sulfur recovery technologies.

  7. Submitted to BAMS v5, 13/10/2011 Documenting the climate modelling process: how climate scientists now share their

    E-Print Network [OSTI]

    Guilyardi, Eric

    (DKRZ, Germany), Sylvia Murphy (NOAA, US), Karl Taylor (PCMDI, US) and the METAFOR team In earth system system models"). The complexity of these simulators, measured in terms of the number of the processes we modelling, the performance of common simulation experiments by multiple research groups has emerged

  8. Numerical modeling of time-lapse seismic data from fractured reservoirs including fluid flow and geochemical processes 

    E-Print Network [OSTI]

    Shekhar, Ravi

    2009-05-15T23:59:59.000Z

    and amplitude variation with offset (AVO) results for our example model predicts that CO2 is easier to detect than brine in the fractured reservoirs. The effects of geochemical processes on seismics are simulated by time-lapse modeling for t = 1000 years. My...

  9. LONG-TERM GLOBAL WATER USE PROJECTIONS USING SIX SOCIOECONOMIC SCENARIOS IN AN INTEGRATED ASSESSMENT MODELING FRAMEWORK

    SciTech Connect (OSTI)

    Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Chaturvedi, Vaibhav; Wise, Marshall A.; Patel, Pralit L.; Eom, Jiyong; Calvin, Katherine V.; Moss, Richard H.; Kim, Son H.

    2014-01-19T23:59:59.000Z

    In this paper, we assess future water demands for the agricultural (irrigation and livestock), energy (electricity generation, primary energy production and processing), industrial (manufacturing and mining), and municipal sectors, by incorporating water demands into a technologically-detailed global integrated assessment model of energy, agriculture, and climate change – the Global Change Assessment Model (GCAM). Base-year water demands—both gross withdrawals and net consumptive use—are assigned to specific modeled activities in a way that maximizes consistency between bottom-up estimates of water demand intensities of specific technologies and practices, and top-down regional and sectoral estimates of water use. The energy, industrial, and municipal sectors are represented in fourteen geopolitical regions, with the agricultural sector further disaggregated into as many as eighteen agro-ecological zones (AEZs) within each region. We assess future water demands representing six socioeconomic scenarios, with no constraints imposed by future water supplies. The scenarios observe increases in global water withdrawals from 3,578 km3 year-1 in 2005 to 5,987 – 8,374 km3 year-1 in 2050, and to 4,719 – 12,290 km3 year-1 in 2095. Comparing the projected total regional water withdrawals to the historical supply of renewable freshwater, the Middle East exhibits the highest levels of water scarcity throughout the century, followed by India; water scarcity increases over time in both of these regions. In contrast, water scarcity improves in some regions with large base-year electric sector withdrawals, such as the USA and Canada, due to capital stock turnover and the almost complete phase-out of once-through flow cooling systems. The scenarios indicate that: 1) water is likely a limiting factor in climate change mitigation policies, 2) many regions can be expected to increase reliance on non-renewable groundwater, water reuse, and desalinated water, but they also highlight an important role for development and deployment of water conservation technologies and practices.

  10. A Validation Process for the Groundwater Flow and Transport Model of the Faultless Nuclear Test at Central Nevada Test Area

    SciTech Connect (OSTI)

    Ahmed Hassan

    2003-01-01T23:59:59.000Z

    Many sites of groundwater contamination rely heavily on complex numerical models of flow and transport to develop closure plans. This has created a need for tools and approaches that can be used to build confidence in model predictions and make it apparent to regulators, policy makers, and the public that these models are sufficient for decision making. This confidence building is a long-term iterative process and it is this process that should be termed ''model validation.'' Model validation is a process not an end result. That is, the process of model validation cannot always assure acceptable prediction or quality of the model. Rather, it provides safeguard against faulty models or inadequately developed and tested models. Therefore, development of a systematic approach for evaluating and validating subsurface predictive models and guiding field activities for data collection and long-term monitoring is strongly needed. This report presents a review of model validation studies that pertain to groundwater flow and transport modeling. Definitions, literature debates, previously proposed validation strategies, and conferences and symposia that focused on subsurface model validation are reviewed and discussed. The review is general in nature, but the focus of the discussion is on site-specific, predictive groundwater models that are used for making decisions regarding remediation activities and site closure. An attempt is made to compile most of the published studies on groundwater model validation and assemble what has been proposed or used for validating subsurface models. The aim is to provide a reasonable starting point to aid the development of the validation plan for the groundwater flow and transport model of the Faultless nuclear test conducted at the Central Nevada Test Area (CNTA). The review of previous studies on model validation shows that there does not exist a set of specific procedures and tests that can be easily adapted and applied to determine the validity of site-specific groundwater models. This is true for both deterministic and stochastic models, with the latter posing a more difficult and challenging problem when it comes to validation. This report then proposes a general validation approach for the CNTA model, which addresses some of the important issues recognized in previous validation studies, conferences, and symposia as crucial to the process. The proposed approach links model building, model calibration, model predictions, data collection, model evaluations, and model validation in an iterative loop. The approach focuses on use of collected validation data to reduce model uncertainty and narrow the range of possible outcomes of stochastic numerical models. It accounts for the stochastic nature of the numerical CNTA model, which used Monte Carlo simulation approach. The proposed methodology relies on the premise that absolute validity is not even a theoretical possibility and is not a regulatory requirement. Rather, it highlights the importance of testing as many aspects of the model as possible and using as many diverse statistical tools as possible for rigorous checking and confidence building in the model and its predictions. It is this confidence that will eventually allow for regulator and public acceptance of decisions based on the model predictions.

  11. Model for multi-strata safety performance measurements in the process industry 

    E-Print Network [OSTI]

    Keren, Nir

    2004-09-30T23:59:59.000Z

    Measuring process safety performance is a challenge, and the wide variations in understanding, compliance, and implementation of process safety programs increase the challenge. Process safety can be measured in three strata: ...

  12. Report of Separate Effects Testing for Modeling of Metallic Fuel Casting Process

    SciTech Connect (OSTI)

    Crapps, Justin M. [Los Alamos National Laboratory; Galloway, Jack D. [Los Alamos National Laboratory; Decroix, David S. [Los Alamos National Laboratory; Korzekwa, David A. [Los Alamos National Laboratory; Aikin, Robert M. Jr. [Los Alamos National Laboratory; Unal, Cetin [Los Alamos National Laboratory; Fielding, R. [Idaho National Laboratory; Kennedy, R [Idaho National Laboratory

    2012-06-29T23:59:59.000Z

    In order to give guidance regarding the best investment of time and effort in experimental determination of parameters defining the casting process, a Flow-3D model of the casting process was used to investigate the most influential parameters regarding void fraction of the solidified rods and solidification speed for fluid flow parameters, liquid heat transfer parameters, and solid heat transfer parameters. Table 1 summarizes the most significant variables for each of the situations studied. A primary, secondary, and tertiary effect is provided for fluid flow parameters (impacts void fraction) and liquid heat transfer parameters (impacts solidification). In Table 1, the wetting angle represents the angle between the liquid and mold surface as pictured in Figure 1. The viscosity is the dynamic viscosity of the liquid and the surface tension is the property of the surface of a liquid that allows it to resist an external force. When only considering solid heat transfer properties, the variations from case to case were very small. Details on this conclusion are provided in the section considering solid heat transfer properties. The primary recommendation of the study is to measure the fluid flow parameters, specifically the wetting angle, surface tension, and dynamic viscosity, in order of importance, as well as the heat transfer parameters latent heat and specific heat of the liquid alloy. The wetting angle and surface tension can be measured simultaneously using the sessile drop method. It is unclear whether there is a temperature dependency in these properties. Thus measurements for all three parameters are requested at 1340, 1420, and 1500 degrees Celsius, which correspond to the minimum, middle, and maximum temperatures of the liquid alloy during the process. In addition, the heat transfer coefficient between the mold and liquid metal, the latent heat of transformation, and the specific heat of the liquid metal all have strong influences on solidification. These parameters should be measured to achieve better simulation fidelity. Information on all the mentioned parameters is virtually nonexistent. Presently, all the parameters within the casting model are estimates based on pure U, or another alloy such as U-Ni.

  13. A Total Cost of Ownership Model for Low Temperature PEM Fuel Cells in Combined Heat and Power and Backup Power Applications

    SciTech Connect (OSTI)

    University of California, Berkeley; Wei, Max; Lipman, Timothy; Mayyas, Ahmad; Chien, Joshua; Chan, Shuk Han; Gosselin, David; Breunig, Hanna; Stadler, Michael; McKone, Thomas; Beattie, Paul; Chong, Patricia; Colella, Whitney; James, Brian

    2014-06-23T23:59:59.000Z

    A total cost of ownership model is described for low temperature proton exchange membrane stationary fuel cell systems for combined heat and power (CHP) applications from 1-250kW and backup power applications from 1-50kW. System designs and functional specifications for these two applications were developed across the range of system power levels. Bottom-up cost estimates were made for balance of plant costs, and detailed direct cost estimates for key fuel cell stack components were derived using design-for-manufacturing-and-assembly techniques. The development of high throughput, automated processes achieving high yield are projected to reduce the cost for fuel cell stacks to the $300/kW level at an annual production volume of 100 MW. Several promising combinations of building types and geographical location in the U.S. were identified for installation of fuel cell CHP systems based on the LBNL modelling tool DER CAM. Life-cycle modelling and externality assessment were done for hotels and hospitals. Reduced electricity demand charges, heating credits and carbon credits can reduce the effective cost of electricity ($/kWhe) by 26-44percent in locations such as Minneapolis, where high carbon intensity electricity from the grid is displaces by a fuel cell system operating on reformate fuel. This project extends the scope of existing cost studies to include externalities and ancillary financial benefits and thus provides a more comprehensive picture of fuel cell system benefits, consistent with a policy and incentive environment that increasingly values these ancillary benefits. The project provides a critical, new modelling capacity and should aid a broad range of policy makers in assessing the integrated costs and benefits of fuel cell systems versus other distributed generation technologies.

  14. A computational methodology for learning low-complexity surrogate models of process from experiments or simulations. (Paper 679a)

    SciTech Connect (OSTI)

    Cozad, A.; Sahinidis, N.; Miller, D.

    2011-01-01T23:59:59.000Z

    Costly and/or insufficiently robust simulations or experiments can often pose difficulties when their use extends well beyond a single evaluation. This is case with the numerous evaluations of uncertainty quantification, when an algebraic model is needed for optimization, as well as numerous other areas. To overcome these difficulties, we generate an accurate set of algebraic surrogate models of disaggregated process blocks of the experiment or simulation. We developed a method that uses derivative-based and derivative-free optimization alongside machine learning and statistical techniques to generate the set of surrogate models using data sampled from experiments or detailed simulations. Our method begins by building a low-complexity surrogate model for each block from an initial sample set. The model is built using a best subset technique that leverages a mixed-integer linear problem formulation to allow for very large initial basis sets. The models are then tested, exploited, and improved through the use of derivative-free solvers to adaptively sample new simulation or experimental points. The sets of surrogate models from each disaggregated process block are then combined with heat and mass balances around each disaggregated block to generate a full algebraic model of the process. The full model can be used for cheap and accurate evaluations of the original simulation or experiment or combined with design specifications and an objective for nonlinear optimization.

  15. Off-Highway Gasoline Consuption Estimation Models Used in the Federal Highway Administration Attribution Process: 2008 Updates

    SciTech Connect (OSTI)

    Hwang, Ho-Ling [ORNL; Davis, Stacy Cagle [ORNL

    2009-12-01T23:59:59.000Z

    This report is designed to document the analysis process and estimation models currently used by the Federal Highway Administration (FHWA) to estimate the off-highway gasoline consumption and public sector fuel consumption. An overview of the entire FHWA attribution process is provided along with specifics related to the latest update (2008) on the Off-Highway Gasoline Use Model and the Public Use of Gasoline Model. The Off-Highway Gasoline Use Model is made up of five individual modules, one for each of the off-highway categories: agricultural, industrial and commercial, construction, aviation, and marine. This 2008 update of the off-highway models was the second major update (the first model update was conducted during 2002-2003) after they were originally developed in mid-1990. The agricultural model methodology, specifically, underwent a significant revision because of changes in data availability since 2003. Some revision to the model was necessary due to removal of certain data elements used in the original estimation method. The revised agricultural model also made use of some newly available information, published by the data source agency in recent years. The other model methodologies were not drastically changed, though many data elements were updated to improve the accuracy of these models. Note that components in the Public Use of Gasoline Model were not updated in 2008. A major challenge in updating estimation methods applied by the public-use model is that they would have to rely on significant new data collection efforts. In addition, due to resource limitation, several components of the models (both off-highway and public-us models) that utilized regression modeling approaches were not recalibrated under the 2008 study. An investigation of the Environmental Protection Agency's NONROAD2005 model was also carried out under the 2008 model update. Results generated from the NONROAD2005 model were analyzed, examined, and compared, to the extent that is possible on the overall totals, to the current FHWA estimates. Because NONROAD2005 model was designed for emission estimation purposes (i.e., not for measuring fuel consumption), it covers different equipment populations from those the FHWA models were based on. Thus, a direct comparison generally was not possible in most sectors. As a result, NONROAD2005 data were not used in the 2008 update of the FHWA off-highway models. The quality of fuel use estimates directly affect the data quality in many tables published in the Highway Statistics. Although updates have been made to the Off-Highway Gasoline Use Model and the Public Use Gasoline Model, some challenges remain due to aging model equations and discontinuation of data sources.

  16. OIKOS 89: 524540. Copenhagen 2000 Assessing top-down and bottom-up control in a litter-based soil

    E-Print Network [OSTI]

    Jost, Christian

    of a temperate deciduous forest. During two consecutive years, we estimated the abundances of macroinvertebrate abundance increases when its food supply increases. Top-down control is demon- strated by an increase-level chain should be so efficiently preyed upon that any additional unit of biomass they might produce

  17. ISDA 2010, Montpellier, June 28-30, 2010 1 COMBINING TOP-DOWN AND BOTTOM-UP

    E-Print Network [OSTI]

    Boyer, Edmond

    efficiency and on the other tried to fine-tune inputs (of nutrients, agrochemicals, manure, etc) to societal

  18. With or Against the People? The Impact of a Bottom-Up Approach on Tax Morale and the Shadow Economy

    E-Print Network [OSTI]

    Torgler, Benno; Schneider, Friedrich; Schaltegger, Christoph A.

    2007-01-01T23:59:59.000Z

    Corruption and the Shadow Economy: An Empirical Analysis,Journal of Political Economy Feld, L. P. , Kirchgässner,G. 2001. The Political Economy of Direct Legislation: Direct

  19. Teacher self-efficacy in Cape Town : a bottom up approach to enhancing the quality of education

    E-Print Network [OSTI]

    Kim, YeSeul

    2011-01-01T23:59:59.000Z

    Personal teacher self-efficacy (PTE), or the belief in one's own ability to overcome a particular challenge, often acts as a catalyst for teachers to improve the effectiveness of their teaching. Gaining PTE can translate ...

  20. Assessment of Historic Trend in Mobility and Energy Use in India Transportation Sector Using Bottom-up Approach

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    consumption reported in IEA India transportation energyin mobility, while the IEA data only shows a 1.7% growthWB, 2004). According to the IEA energy balance for India,