National Library of Energy BETA

Sample records for bottom-up process modeling

  1. 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. ...

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

    E-Print Network [OSTI]

    take energy and other prices as exogenous and, therefore, may overestimate the potential penetrationRepresenting energy technologies in top-down economic models using bottom-up information J.R. Mc 02139, USA c Laboratory for Energy and the Environment, M.I.T., Cambridge, MA 02139, USA Available

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

    E-Print Network [OSTI]

    Bracken, MES; Stachowicz, J J

    2007-01-01

    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

  4. 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 February 2011 Accepted 16 August 2011 Available online 17 September 2011 Keywords: Energy efficiency that a large potential for profitable energy efficiency exists in the US, and that substantial greenhouse gas

  5. Bottom-up model of adsorption and transport in multiscale porous media

    E-Print Network [OSTI]

    Ulm, Franz-Josef

    We develop a model of transport in multiscale porous media which accounts for adsorption in the different porosity scales. This model employs statistical mechanics to upscale molecular simulation and describe adsorption ...

  6. 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

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    M. , 1990. “Waste Gas Heat Recovery in Cement Plants” EnergyAdvanced Concepts of Waste Heat Recovery in Cement Plants”process Optimize heat recovery of Wet Increased product

  8. 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.

    2010-08-15

    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.

  9. Bottom-Up Strategic Planning

    E-Print Network [OSTI]

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

    2013-01-01

    and Hiram Davis, “Strategic-Planning as a Catalyst forD. Hensley, “A New Strategic-Planning Model for Academic-Academic Libraries: Should Strategic Planning Be Renewed? ,”

  10. Bottom-up graphene nanoribbon field-effect transistors

    SciTech Connect (OSTI)

    Bennett, Patrick B.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720 ; Pedramrazi, Zahra; Madani, Ali; Chen, Yen-Chia; Crommie, Michael F.; Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720 ; Oteyza, Dimas G. de; Centro de Física de Materiales CSIC Chen, Chen; Fischer, Felix R.; Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720 ; Bokor, Jeffrey; Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720

    2013-12-16

    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.

  11. 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.

    2010-09-30

    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.

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

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

    Assembly of a Molecular Needle, from the Bottom Up Print Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the cells they...

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

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

    Needle, from the Bottom Up Print Wednesday, 21 December 2005 00:00 Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the...

  14. 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

  15. The Bottom-Up Freezing: An Approach to Neural Engineering

    E-Print Network [OSTI]

    Ghorbani, Ali

    The Bottom-Up Freezing: An Approach to Neural Engineering Ali Farzan and Ali A. Ghorbani Faculty of the proposed method is to reduce the size of the network by freezing any node that does not actively presents a new pruning method. The proposed method, which we call Bottom-Up Freezing (BUF), alters

  16. 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

  17. A Bottom-up Merging Algorithm for Chinese Unknown Word Extraction

    E-Print Network [OSTI]

    A Bottom-up Merging Algorithm for Chinese Unknown Word Extraction Wei-Yun Ma Institute, Academia Sinica kchen@iis.sinica.edu.tw Abstract Statistical methods for extracting Chinese unknown words of characters with no delimiters to mark word boundaries. Therefore the initial step for Chinese processing

  18. Piezoresistive characterization of bottom-up, n-type silicon microwires undergoing bend deformation

    SciTech Connect (OSTI)

    McClarty, Megan M.; Oliver, Derek R. E-mail: Derek.Oliver@umanitoba.ca; Bruce, Jared P.; Freund, Michael S. E-mail: Derek.Oliver@umanitoba.ca

    2015-01-12

    The piezoresistance of silicon has been studied over the past few decades in order to characterize the material's unique electromechanical properties and investigate their wider applicability. While bulk and top-down (etched) micro- and nano-wires have been studied extensively, less work exists regarding bottom-up grown microwires. A facile method is presented for characterizing the piezoresistance of released, phosphorus-doped silicon microwires that have been grown, bottom-up, via a chemical vapour deposition, vapour-liquid-solid process. The method uses conductive tungsten probes to simultaneously make electrical measurements via direct ohmic contact and apply mechanical strain via bend deformation. These microwires display piezoresistive coefficients within an order of magnitude of those expected for bulk n-type silicon; however, they show an anomalous response at degenerate doping concentrations (?10{sup 20?}cm{sup ?3}) when compared to lower doping concentrations (?10{sup 17?}cm{sup ?3}), with a stronger piezoresistive coefficient exhibited for the more highly doped wires. This response is postulated to be due to the different growth mechanism of bottom-up microwires as compared to top-down.

  19. 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

  20. 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)

    2008-01-01

    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 ...

  1. A bottom-up method to develop pollution abatement cost curves for coal-fired utility boilers

    E-Print Network [OSTI]

    Barlaz, Morton A.

    costs depend, in part, on a complex combination of coal type, coal composition, boiler design, plantA bottom-up method to develop pollution abatement cost curves for coal-fired utility boilers. The Coal Utility Environmental Cost (CUECost) model is used to estimate retrofit costs for five different

  2. Beam-deposited platinum as versatile catalyst for bottom-up silicon nanowire synthesis

    SciTech Connect (OSTI)

    Hibst, N.; Strehle, S. [Institute of Electron Devices and Circuits, Ulm University, Albert-Einstein-Allee 45, 89081 Ulm (Germany); Knittel, P.; Kranz, C.; Mizaikoff, B. [Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm (Germany)

    2014-10-13

    The controlled localized bottom-up synthesis of silicon nanowires on arbitrarily shaped surfaces is still a persisting challenge for functional device assembly. In order to address this issue, electron beam and focused ion beam-assisted catalyst deposition have been investigated with respect to platinum expected to form a PtSi alloy catalyst for a subsequent bottom-up nanowire synthesis. The effective implementation of pure platinum nanoparticles or thin films for silicon nanowire growth has been demonstrated recently. Beam-deposited platinum contains significant quantities of amorphous carbon due to the organic precursor and gallium ions for a focused ion beam-based deposition process. Nevertheless, silicon nanowires could be grown on various substrates regardless of the platinum purity. Additionally, p-type doping could be realized with diborane whereas n-type doping suppressed a nanowire growth. The rational utilization of this beam-assisted approach enables us to control the localized synthesis of single silicon nanowires at planar surfaces but succeeded also in single nanowire growth at the three-dimensional apex of an atomic force microscopy tip. Therefore, this catalyst deposition method appears to be a unique extension of current technologies to assemble complex nanowire-based devices.

  3. 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

  4. Food supplementation leads to bottom-up and top-down foodhostparasite interactions

    E-Print Network [OSTI]

    Zanette, Liana

    Food supplementation leads to bottom-up and top-down food­host­parasite interactions Liana Zanette1 `bottom-up' effects because we previously found that food supplemented sparrows better eluded nest results to the contrary. Food supplemented sparrows were parasitized as often as non-food supplemented

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    diffusion and industrial motor energy. GDP growth rates areenergy consumption in Best Practice Scenario Best practice efficiency definitions Product class market shares Industrial electric motorsenergy demand sectors. The LBNL China appliance model (including industrial motors

  6. Top down or bottom up? Volcanic architecture, climate,

    E-Print Network [OSTI]

    Geist, Dennis

    .5 Ma) Kauai (4.5 Ma) Hawaii (images from Porder & Vitousek) (images by A. Jefferson) #12;Volcano Island Hawaii Cascades Easter Island Azores Madeira Canary Galapagos Samoa Cape Verde #12;Time 0 >5 Ma "Conventional conceptual model" because of early work in Hawaii Modified from Gingerich and Oki 2000 (Oahu

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

    SciTech Connect (OSTI)

    McNeil, Michael A.; Letschert, Virginie E.; Stephane, de la Rue du Can; Ke, Jing

    2012-06-15

    The main objective of the development of BUENAS is to provide a global model with sufficient detail and accuracy for technical assessment of policy measures such as energy efficiency standards and labeling (EES&L) programs. In most countries where energy efficiency policies exist, the initial emphasis is on household appliances and lighting. Often, equipment used in commercial buildings, particularly heating, air conditioning and ventilation (HVAC) is also covered by EES&L programs. In the industrial sector, standards and labeling generally covers electric motors and distribution transformers, although a few more types of industrial equipment are covered by some programs, and there is a trend toward including more of them. In order to make a comprehensive estimate of the total potential impacts, development of the model prioritized coverage of as many end uses commonly targeted by EES&L programs as possible, for as many countries as possible.

  8. Formation and Film Characteristics of Dual Damascene Interconnects by Bottom-up Electroless Cu Plating

    SciTech Connect (OSTI)

    Shingubara, S. [Kansai University, Dept. of Mechanical Engineering, Suita 3-3-35, Osaka (Japan); Wang, Z. [Shaanxi Normal University, School of Chemistry and Materials Science (China)

    2006-02-07

    Bottom-up filling of Cu in a dual damascene interconnection structure was achieved through electroless plating alone. The addition of inhibitor molecules to the electroless Cu plating solution was investigated, and showed that sulfopropyl sulfonate (SPS) was highly effective in promoting bottom-up filling. Bottom-up filling was enhanced by shrinkage of the hole diameter, suggesting that the diffusion flux of SPS molecules to the bottom of the holes was suppressed. Thus, Cu deposition rate near the hole bottom was larger than that outside the hole, leading to bottom-up filling. The salient feature of electroless plating technology is the lack of overgrowth or bump formation after hole filling, which is a serious problem in electroplating technology. Problems such as increased resistance due to inclusion of SPS molecules and pattern size dependence affected applicability of this method. A two-step electroless plating using different concentrations of inhibitor molecules was effective for filling a dual damascene structure without voiding, and may provide a practical solution for ULSI interconnections.

  9. Statistical Evaluation of a Bottom-Up Clustering for Single Particle Molecular Images

    E-Print Network [OSTI]

    Stephan, Frank

    structures are solved. Under low dose conditions to minimize radiation damage? molecular images are usually i m o n o h a r a ' ~ ~Kiyoshi Asai1 yukio0cbrc.j p asaimcbrc .j p ' Computational Biology Research by bottom-up clustering, a hierarchical algorithm, using simulated protein images with a low signal- to

  10. 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

  11. 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

  12. 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

  13. Growing Artificial Societies: Social Science from the Bottom Up. By Joshua M. Epstein and Robert Axtell.

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Growing Artificial Societies: Social Science from the Bottom Up. By Joshua M. Epstein and Robert be passed in modified form to descendants. Such an artificial society can grow itself over time, with large) and a vision level that helps it search for sugar. Any sugar collected by an agent in excess of its metabolic

  14. 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

    2011-04-15

    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.

  15. The drastic outcomes from voting alliances in three-party bottom-up democratic voting (1990 $\\rightarrow$ 2013)

    E-Print Network [OSTI]

    Galam, Serge

    2013-01-01

    The drastic effect of local alliances in three-party competition is investigated in democratic hierarchical bottom-up voting. The results are obtained analytically using a model which extends a sociophysics frame introduced in 1986 \\cite{psy} and 1990 \\cite{lebo} to study two-party systems and the spontaneous formation of democratic dictatorship. It is worth stressing that the 1990 paper was published in the Journal of Statistical Physics, the first paper of its kind in the journal. It was shown how a minority in power can preserve its leadership using bottom-up democratic elections. However such a bias holds only down to some critical value of minimum support. The results were used latter to explain the sudden collapse of European communist parties in the nineties. The extension to three-party competition reveals the mechanisms by which a very small minority party can get a substantial representation at higher levels of the hierarchy when the other two competing parties are big. Additional surprising results...

  16. Top-down and bottom-up definitions of human failure events in human reliability analysis

    SciTech Connect (OSTI)

    Boring, Ronald Laurids

    2014-10-01

    In the probabilistic risk assessments (PRAs) used in the nuclear industry, human failure events (HFEs) are determined as a subset of hardware failures, namely those hardware failures that could be triggered by human action or inaction. This approach is top-down, starting with hardware faults and deducing human contributions to those faults. Elsewhere, more traditionally human factors driven approaches would tend to look at opportunities for human errors first in a task analysis and then identify which of those errors is risk significant. The intersection of top-down and bottom-up approaches to defining HFEs has not been carefully studied. Ideally, both approaches should arrive at the same set of HFEs. This question is crucial, however, as human reliability analysis (HRA) methods are generalized to new domains like oil and gas. The HFEs used in nuclear PRAs tend to be top-down—defined as a subset of the PRA—whereas the HFEs used in petroleum quantitative risk assessments (QRAs) often tend to be bottom-up—derived from a task analysis conducted by human factors experts. The marriage of these approaches is necessary in order to ensure that HRA methods developed for top-down HFEs are also sufficient for bottom-up applications.

  17. Europe from the bottom up: A statistical examination of the central and northern European lithosphereasthenosphere boundary from comparing seismological

    E-Print Network [OSTI]

    Jones, Alan G.

    Europe from the bottom up: A statistical examination of the central and northern European: Lithosphere­asthenosphere boundary (LAB) Europe Seismology Magnetotellurics The Lithosphere, between the delineation of the LAB for Europe based on seismological and electromagnetic observations. We

  18. Conservative and dissipative force field for simulation of coarse-grained alkane molecules: A bottom-up approach

    SciTech Connect (OSTI)

    Trément, Sébastien; Rousseau, Bernard, E-mail: bernard.rousseau@u-psud.fr [Laboratoire de Chimie-Physique, UMR 8000 CNRS, Université Paris-Sud, Orsay (France)] [Laboratoire de Chimie-Physique, UMR 8000 CNRS, Université Paris-Sud, Orsay (France); Schnell, Benoît; Petitjean, Laurent; Couty, Marc [Manufacture Française des Pneumatiques MICHELIN, Centre de Ladoux, 23 place des Carmes, 63000 Clermont-Ferrand (France)] [Manufacture Française des Pneumatiques MICHELIN, Centre de Ladoux, 23 place des Carmes, 63000 Clermont-Ferrand (France)

    2014-04-07

    We apply operational procedures available in the literature to the construction of coarse-grained conservative and friction forces for use in dissipative particle dynamics (DPD) simulations. The full procedure rely on a bottom-up approach: large molecular dynamics trajectories of n-pentane and n-decane modeled with an anisotropic united atom model serve as input for the force field generation. As a consequence, the coarse-grained model is expected to reproduce at least semi-quantitatively structural and dynamical properties of the underlying atomistic model. Two different coarse-graining levels are studied, corresponding to five and ten carbon atoms per DPD bead. The influence of the coarse-graining level on the generated force fields contributions, namely, the conservative and the friction part, is discussed. It is shown that the coarse-grained model of n-pentane correctly reproduces self-diffusion and viscosity coefficients of real n-pentane, while the fully coarse-grained model for n-decane at ambient temperature over-predicts diffusion by a factor of 2. However, when the n-pentane coarse-grained model is used as a building block for larger molecule (e.g., n-decane as a two blobs model), a much better agreement with experimental data is obtained, suggesting that the force field constructed is transferable to large macro-molecular systems.

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

    E-Print Network [OSTI]

    Ardani, Kristen

    2014-01-01

    and Utility-Scale Photovoltaic System Prices in the UnitedSoft) Costs for U.S. Photovoltaic Systems Using a Bottom-UpSoft) Costs for U.S. Photovoltaic Systems Using a Bottom-Up

  20. 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.

    2013-10-01

    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.

  1. 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.

    2013-01-01

    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...

  2. 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.

    2014-09-16

    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...

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

    E-Print Network [OSTI]

    Jim Talbert

    2015-01-07

    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.

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

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.

    2006-05-10

    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.

  5. Constructing Ordered Sensitized Heterojunctions: Bottom-Up Electrochemical Synthesis of p-Type Semiconductors in Oriented n-TiO2 Nanotube Arrays

    SciTech Connect (OSTI)

    Wang, Q.; Zhu, K.; Neale, N. R.; Frank. A. J.

    2009-01-01

    Fabrication of efficient semiconductor-sensitized bulk heterojunction solar cells requires the complete filling of the pore system of one semiconductor (host) material with nanoscale dimensions (<100 nm) with a different semiconductor (guest) material. Because of the small pore size and electrical conductivity of the host material, it is challenging to employ electrochemical approaches to fill the entire pore network. Typically, during the electrochemical deposition process, the guest material blocks the pores of the host, precluding complete pore filling. We describe a general synthetic strategy for spatially controlling the growth of p-type semiconductors in the nanopores of electrically conducting n-type materials. As an illustration of this strategy, we report on the facile electrochemical deposition of p-CuInSe{sub 2} in nanoporous anatase n-TiO{sub 2} oriented nanotube arrays and nanoparticle films. We show that by controlling the ambipolar diffusion length the p-type semiconductors can be deposited from the bottom-up, resulting in complete pore filling.

  6. Philippine Marine Fisheries Catches: A Bottom-up Reconstruction, 1950-2010, Palomares, MLD and Pauly, D (eds.) Reconstructed marine fisheries catches of the Philippines, 1950-2010101

    E-Print Network [OSTI]

    Pauly, Daniel

    Philippine Marine Fisheries Catches: A Bottom-up Reconstruction, 1950-2010, Palomares, MLD.L.D. Palomares and D. Pauly Sea Around Us, Fisheries Centre, University of British Columbia, 2202 Main Mall, Vancouver BC, V6T 1Z4; Email: m.palomares@fisheries.ubc.ca; d.pauly@fisheries.ubc.ca Abstract

  7. Philippine Marine Fisheries Catches: A Bottom-up Reconstruction, 1950-2010, Palomares, MLD and Pauly, D (eds.) Philippine marine fisheries 1011

    E-Print Network [OSTI]

    Pauly, Daniel

    Philippine Marine Fisheries Catches: A Bottom-up Reconstruction, 1950-2010, Palomares, MLD and Pauly, D (eds.) 1 Philippine marine fisheries 1011 M.L.D. Palomares1 , V.A. Parducho2 , M. Bimbao2 , E, Vancouver BC, V6T 1Z4; Email: m.palomares@fisheries.ubc.ca 2 FishBase Information and Research Group, Inc

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    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

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

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01

    Studies on China's Future Energy and Emissions Outlook.Institute. IEA (International Energy Agency), 2009.World Energy Outlook 2009. Paris: OECD Publishing. Li, J. ,

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    Energy and Carbon Reduction . 9   3.1   Cost of Conserved Energy Curves – with and without Other Benefits . 9   3.2   Calculationenergy conservation is generally reduced when productivity benefits associated with labor and material cost savings are included in the calculationenergy benefits are excluded from calculation. Changes in cost

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

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01

    Environment Institute. IEA (International Energy Agency),GR 4. IND +25% HI P CIS IEA Ref 5. COM +25% FA LBNL Lowest4% OI EI GR ERI Low Carbon AIS IEA 450 ERI Accel. Low Carbon

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

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

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

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

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

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01

    demand-side Total electricity demand efficiency programs608 GW in 2050 Total electricity demand reaches 7,764 TWh innearly one-third of all electricity demand. Under AIS, the

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

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01

    is the rapid expansion of nuclear generation, whichfurther expansion of renewable and nuclear power capacity.further expansion of renewable and nuclear power capacity.

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

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01

    Energy Agency), 2009. World Energy Outlook 2009. Paris: OECDEnergy Agency (IEA)’s World Energy Outlook (WEO) 2009, whichresults are taken from World Energy Outlook 2009. As seen in

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    de Beer, 1997. "Energy Efficient Technologies in Industry -Tracking Industrial Energy Efficiency and CO2 Emissions.and L. Price. 1999. Energy Efficiency and Carbon Dioxide

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    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

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    one or more additives (fly ash, pozzolans, granulated blastblending materials are fly ash and granulated blast furnaceslag. Not all slag and fly ash is suitable for cement

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

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01

    management Installed capacity of wind, solar, and biomassand policies Installed capacity of wind, solar, and biomass

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    2 Cogeneration systems can either be direct gas turbinesCogeneration. Waste gas discharged from the kiln exit gases, the clinker cooler system,

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

    E-Print Network [OSTI]

    Zhou, Nan

    2014-01-01

    China's Future Energy and Emissions Outlook. Berkeley, CA:Energy Agency), 2009. World Energy Outlook 2009. Paris: OECDAgency (IEA)’s World Energy Outlook (WEO) 2009, which set

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01

    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.

    2011-01-01

    mill throughput and saving energy. Advanced Grindingstudy, for which cost and energy-savings data on mitigationfor collating the data on energy savings and costs for their

  5. 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

    2000-01-01

    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...

  6. 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

  7. Biosphere Process Model Report

    SciTech Connect (OSTI)

    J. Schmitt

    2000-05-25

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

  8. Bottom-Up Strategic Planning

    E-Print Network [OSTI]

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

    2013-01-01

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

  9. The Role of Bottom-Up Processing in Perceptual Categorization by 3-to 4-Month-Old Infants: Simulations and Data

    E-Print Network [OSTI]

    Cottrell, Garrison W.

    categories). Of course, this begs the question of whether the patterns of behavior observed have any

  10. Bottoms-Up In-Situ Vitrification Of Hard-to-Treat Buried Mixed Wastes, CRADA Final Report ORNL99-0543

    SciTech Connect (OSTI)

    Spalding, B. P. [ORNL] [ORNL; Farrar, Lawrence [Montec Research] [Montec Research

    2000-01-01

    This Phase I project was designed to demonstrate feasibility of in situ waste destruction and vitrification technology as a means of remediating hard-to-treat buried radioactive and hazardous wastes and focused on proving viability of the concentric graphite arc melter technique as a robust, safe, and economic tool for use as the IWDV process heat source. Oak Ridge National Laboratory provided technical support to Montec Research including the volatile behavior of elements during silicate melting operations and temperature viscosity modeling of silicate melts. Further research will be needed to develop this technology into a competitive remediation technique

  11. 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.

    2011-01-01

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

  12. 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.

    2011-01-01

    Thermal Energy of Rolling Mill Waste Oil Through Sintering,"It is possible to use waste oils (especially from coldwaste recovery), or 74% of the rolling sludges and oils (

  13. 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

    2014-01-01

    black liquor evaporation Lime kiln modifications Extended black liquor evaporation Lime kiln modifications Teriary effluents ClO2 filtrate heating Lime kiln oxygen enrichement

  14. 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.

    2011-01-01

    Energy and Carbon Reduction 3.1 Calculation of cost ofCalculation of cost of carbon reduction related to energyweighted fuel cost in our calculation based on energy data

  15. 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.

    2011-01-01

    Bremen,” La Revue de Metallurgie-CIT 93(10): 1219-1226.Blast Furnaces,” La Revue de Metallurgie-CIT 92(3): 375-380.a Sinter Plant,” Revue de Metallurgie-CIT 3 92 pp. 329-335 (

  16. 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

    2008-01-01

    Hydrogen C.FCH Conventional HEV LPG Flex Fuel PHEV Adv GSLHydrogen F.FCH Conventional HEV LPG Flex Fuel Methanol FlexHydrogen M.FCH Conventional HEV LPG LPG Flex Fuel PHEV M.GSL

  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

    2008-01-01

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

  18. 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.

    2011-01-01

    Foamy slag Oxy-fuel burners Eccentric Bottom Tapping (EBT)combustion air for the burners and to generate high pressureNew Concept for Using Oxy-Fuel Burners and Oxygen Lances to

  19. 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.

    2011-01-01

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

  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.

    2011-01-01

    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,”

  1. 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.

    2011-01-01

    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

  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

    2008-01-01

    Compact Compact Compact Compact Full Size Type Adv GSL CNGCNG Flex Fuel DSL HEV DSL Ethanol Flex Fuel AbbreviationMinivan Minivan Minivan CNG CNG Flex Fuel DSL HEV DSL

  3. 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

    2014-01-01

    Opportunities for the Pulp and Paper Industry (LBNL-2268E).in the U.S. Pulp and Paper Industry. Lawrence BerkeleyManagement in the Pulp and Paper Industry. Buehler, E. and

  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.

    2011-01-01

    Using an Advanced Energy Management System,” Best Practiceincludes site energy management systems for optimal energyvariety of such energy management systems exist (Worrell et

  5. 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

    2014-01-01

    the U.S. Pulp and Paper Industry. Lawrence Berkeley NationalProfile of the Pulp and Paper Industry, 2 nd Edition. Officefor the Pulp and Paper Industry (No. LBNL-2268E). Berkeley,

  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.

    2011-01-01

    CASTING .Progress in Continuous Casting. ” International Energykg/thm Adopt continuous casting Reduced dust emissions and

  7. 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.

    2011-01-01

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

  8. 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

    2014-01-01

    heat recovery Implement efficient control systems for the machine steam  and condensate Heat Recovery Blowdown Steam Recovery Steam trap maintenance Automatic Steam Trap Monitoring Leak Repair Condensate Heat Recovery Blowdown Steam Recovery Steam trap maintenance Automatic Steam Trap Monitoring Leak Repair Condensate 

  9. 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

    2014-01-01

    screen out thick chips, boiler maintenance, steam trapSteam Production and Efficiency Boiler maintenance Improved of black liquor in recovery boiler High temperature video 

  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.

    2011-01-01

    intensity of 2.6 GJ/t sinter. Sinter plant heat recovery.Heat recovery at the sinter plant is a means for improvingbuilding controls, waste heat recovery or adjustable speed

  11. 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.

    2011-01-01

    Variable speed drive coke oven gas compressors Coke dryVariable speed drive coke oven gas compressors Coke drythe waste heat from the coke oven gas to dry the coal used

  12. 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.

    2011-01-01

    intensity of 2.6 GJ/t sinter. Sinter plant heat recovery.Heat recovery at the sinter plant is a means for improvinghave a positive effect on the heat recovery equipment. These

  13. 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

    2008-01-01

    22, (4), 10. EIA Annual Energy Outlook 2006 with Projections4. EIA Annual Energy Outlook 2007 with Projections to 2030.to the Annual Energy Outlook 2007. Transportation Demand

  14. 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.

    2011-01-01

    production and hence saving energy consumed in coke making (for collating the data on energy savings and costs for theircan result in significant energy savings and carbon-emission

  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

    2008-01-01

    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

  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.

    2011-01-01

    costs. Waste heat recovery from cooling water. Waste heatrolling mill Waste heat recovery from cooling water Generalmill Waste heat recovery from cooling water Integrated Cold

  17. 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

    2014-01-01

    building controls, waste heat recovery or adjustable speedMill Identifies Heat Recovery Projects and Operationsgroundwood pulping ?Super Heat recovery in thermomechanical 

  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

    2008-01-01

    EISA) (we assume biofuel production must reach 36 billionspeci? c mandate for biofuel production, cellulosic ethanolethanol. Many biofuel production pathways, especially from

  19. Enduse Global Emissions Mitigation Scenarios (EGEMS): A New Generation of Energy Efficiency Policy Planning Models

    E-Print Network [OSTI]

    McNeil, Michael A.

    2010-01-01

    driver for the energy demand forecast. The basic assumptionglobal bottom-up energy demand forecasts, and a frameworkin modelling energy demand is to forecast activity. Activity

  20. QGP time formation in holographic shock waves model of heavy ion collisions

    E-Print Network [OSTI]

    Aref'eva, Irina Ya

    2015-01-01

    We estimate the thermalization time in two colliding shock waves holographic model of heavy-ion collisions. For this purpose we model the process by the Vaidya metric with a horizon defined by the trapped surface location. We consider two bottom-up AdS/QCD models that give, within the colliding shock waves approach, the dependence of multiplicity on the energy compatible with RHIC and LHC results. One model is a bottom-up AdS/QCD confining model and the other is related to an anisotropic thermalization. We estimate the thermalization time and show that increasing the confining potential decreases the thermalization time as well as an anisotropy accelerates the thermalization.

  1. QGP time formation in holographic shock waves model of heavy ion collisions

    E-Print Network [OSTI]

    Irina Ya. Aref'eva

    2015-03-07

    We estimate the thermalization time in two colliding shock waves holographic model of heavy-ion collisions. For this purpose we model the process by the Vaidya metric with a horizon defined by the trapped surface location. We consider two bottom-up AdS/QCD models that give, within the colliding shock waves approach, the dependence of multiplicity on the energy compatible with RHIC and LHC results. One model is a bottom-up AdS/QCD confining model and the other is related to an anisotropic thermalization. We estimate the thermalization time and show that increasing the confining potential decreases the thermalization time as well as an anisotropy accelerates the thermalization.

  2. Radiolysis Process Model

    SciTech Connect (OSTI)

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

    2012-07-17

    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.

  3. Kinetic Modeling of Microbiological Processes

    SciTech Connect (OSTI)

    Liu, Chongxuan; Fang, Yilin

    2012-09-17

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

  4. ARM PROCESSES AND MODELING METHODOLOGY

    E-Print Network [OSTI]

    ARM PROCESSES AND MODELING METHODOLOGY Benjamin Melamed Rutgers University Faculty of Management Department of MSIS 94 Rockafeller Rd. Piscataway, NJ 08854 melamed@rbs.rutgers.edu ABSTRACT ARM (Auto innovation sequences, ARM processes admit dependent innovation sequences as well, so long

  5. Computational models of early visual processing layers

    E-Print Network [OSTI]

    Shan, Honghao

    2010-01-01

    prevailing view of retinal processing. However, as discussedsimplified) model of retinal processing. A Retinal Codingretinal coding, the pre-cortical stage of visual processing,

  6. Bottom-Up Argumentation Francesca Toni1

    E-Print Network [OSTI]

    Toni, Francesca

    be fixed?). Others may be serendipitous (e.g. while discussing the recent tsunami in Japan one may end up debating pros and cons of nuclear power stations). While it is acknowledged (e.g. in [11

  7. Bottom-Up Propositionalization Stefan Kramer1

    E-Print Network [OSTI]

    Frank, Eibe

    - gorithms. This transformation requires the construction of features that capture relational properties would be 'o-s-c', meaning "an oxygen atom with a single bond to a sulfur atom with a single bond

  8. 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

  9. Process modeling and industrial energy use

    SciTech Connect (OSTI)

    Howe, S O; Pilati, D A; Sparrow, F T

    1980-11-01

    How the process models developed at BNL are used to analyze industrial energy use is described and illustrated. Following a brief overview of the industry modeling program, the general methodology of process modeling is discussed. The discussion highlights the important concepts, contents, inputs, and outputs of a typical process model. A model of the US pulp and paper industry is then discussed as a specific application of process modeling methodology. Case study results from the pulp and paper model illustrate how process models can be used to analyze a variety of issues. Applications addressed with the case study results include projections of energy demand, conservation technology assessment, energy-related tax policies, and sensitivity analysis. A subsequent discussion of these results supports the conclusion that industry process models are versatile and powerful tools for energy end-use modeling and conservation analysis. Information on the current status of industry models at BNL is tabulated.

  10. Quality Metrics for Business Process Models

    E-Print Network [OSTI]

    van der Aalst, Wil

    1 Quality Metrics for Business Process Models Irene Vanderfeesten1 , Jorge Cardoso2 , Jan Mendling3-Koivisto, 2001). This chapter elaborates on the importance of quality metrics for business process modeling to this composi- tional structure, a business process model consists of activities, each of which con- tains

  11. Cupola Furnace Computer Process Model

    SciTech Connect (OSTI)

    Seymour Katz

    2004-12-31

    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).

  12. BUSINESS PROCESS MODELING WITH UML Nuno Castela

    E-Print Network [OSTI]

    da Silva, Alberto Rodrigues

    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

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

    E-Print Network [OSTI]

    Eichler, Jörn

    2012-01-01

    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.

  14. Modeling Engineering Change Management Process in Virtual

    E-Print Network [OSTI]

    Akgunduz, Ali

    Modeling Engineering Change Management Process in Virtual Collaborative Design Environments Change Management - surveys and reviews - industrial case studies - tools & solutions (scarce) - change

  15. Modeling Stem Cell Induction Processes

    E-Print Network [OSTI]

    Gracio, Filipe

    Technology for converting human cells to pluripotent stem cell using induction processes has the potential to revolutionize regenerative medicine. However, the production of these so called iPS cells is still quite inefficient ...

  16. Panel - Generic Longitudinal Business Process Model

    E-Print Network [OSTI]

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

    2013-04-03

    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...

  17. Article type: Focus Article Replaying History on Process Models for

    E-Print Network [OSTI]

    van der Aalst, Wil

    learning, and knowledge discovery) and model-driven process man- agement (process modeling, businessArticle type: Focus Article Replaying History on Process Models for Conformance Checking checking, automated process discovery, Petri nets, business intelligence Abstract Process mining techniques

  18. 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

  19. 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

  20. Fuel Conditioning Facility Electrorefiner Process Model

    SciTech Connect (OSTI)

    DeeEarl Vaden

    2005-10-01

    The Fuel Conditioning Facility at the Idaho National Laboratory processes spent nuclear fuel from the Experimental Breeder Reactor II using electro-metallurgical treatment. To process fuel without waiting for periodic sample analyses to assess process conditions, an electrorefiner process model predicts the composition of the electrorefiner inventory and effluent streams. For the chemical equilibrium portion of the model, the two common methods for solving chemical equilibrium problems, stoichiometric and non stoichiometric, were investigated. In conclusion, the stoichiometric method produced equilibrium compositions close to the measured results whereas the non stoichiometric method did not.

  1. Exploring chaos to model the design process 

    E-Print Network [OSTI]

    Sharkawy, Ahmed

    1990-01-01

    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...

  2. MODEL OF DIFFUSERS / PERMEATORS FOR HYDROGEN PROCESSING

    SciTech Connect (OSTI)

    Hang, T; William Jacobs, W

    2007-08-27

    Palladium-silver (Pd-Ag) diffusers are mainstays of hydrogen processing. Diffusers separate hydrogen from inert species such as nitrogen, argon or helium. The tubing becomes permeable to hydrogen when heated to more than 250 C and a differential pressure is created across the membrane. The hydrogen diffuses better at higher temperatures. Experimental or experiential results have been the basis for determining or predicting a diffuser's performance. However, the process can be mathematically modeled, and comparison to experimental or other operating data can be utilized to improve the fit of the model. A reliable model-based diffuser system design is the goal which will have impacts on tritium and hydrogen processing. A computer model has been developed to solve the differential equations for diffusion given the operating boundary conditions. The model was compared to operating data for a low pressure diffuser system. The modeling approach and the results are presented in this paper.

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

    E-Print Network [OSTI]

    Zheng, Nina

    2010-01-01

    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

  4. 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...

  5. Modeling and Improving an Industrial Software Process

    E-Print Network [OSTI]

    Picco, Gian Pietro

    possible levels of maturity for a software process. At the first level, software production activities continuous improvement. It is the basis of the Japanese approach to industrial production and is applied1 Modeling and Improving an Industrial Software Process Sergio Bandinelli, Alfonso Fuggetta, Member

  6. Gas Distribution Modeling using Sparse Gaussian Process Mixture Models

    E-Print Network [OSTI]

    Teschner, Matthias

    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

  7. A Signal Processing Model of Quantum Mechanics

    E-Print Network [OSTI]

    Chris Thron; Johnny Watts

    2012-05-08

    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.

  8. Attrition and abrasion models for oil shale process modeling

    SciTech Connect (OSTI)

    Aldis, D.F.

    1991-10-25

    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.

  9. Simplifying Discovered Process Models in a Controlled Manner

    E-Print Network [OSTI]

    van der Aalst, Wil

    a process model by ob- serving events recorded by some information system. The discovery of process models). Output is a process model that is able to reproduce these traces. The automated discovery of processSimplifying Discovered Process Models in a Controlled Manner Dirk Fahland, Wil M.P. van der Aalst

  10. Reactor Modeling and Recipe Optimization of Polyether Polyol Processes

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Reactor Modeling and Recipe Optimization of Polyether Polyol Processes Spring 2013 EWO Meeting Yisu.M. Wassick. Reactor Modeling and Recipe Optimization of Polyether Polyol Processes: Polypropylene Glycol

  11. Near Field Environment Process Model Report

    SciTech Connect (OSTI)

    R.A. Wagner

    2000-11-14

    Waste emplacement and activities associated with construction of a repository system potentially will change environmental conditions within the repository system. These environmental changes principally result from heat generated by the decay of the radioactive waste, which elevates temperatures within the repository system. Elevated temperatures affect distribution of water, increase kinetic rates of geochemical processes, and cause stresses to change in magnitude and orientation from the stresses resulting from the overlying rock and from underground construction activities. The recognition of this evolving environment has been reflected in activities, studies and discussions generally associated with what has been termed the Near-Field Environment (NFE). The NFE interacts directly with waste packages and engineered barriers as well as potentially changing the fluid composition and flow conditions within the mountain. As such, the NFE defines the environment for assessing the performance of a potential Monitored Geologic Repository at Yucca Mountain, Nevada. The NFe evolves over time, and therefore is not amenable to direct characterization or measurement in the ambient system. Analysis or assessment of the NFE must rely upon projections based on tests and models that encompass the long-term processes of the evolution of this environment. This NFE Process Model Report (PMR) describes the analyses and modeling based on current understanding of the evolution of the near-field within the rock mass extending outward from the drift wall.

  12. Discovering Models of Software Processes from EventBased Data

    E-Print Network [OSTI]

    Wolf, Alexander L.

    in process discovery is to use those data to describe the process in a form suitable for formal­modelDiscovering Models of Software Processes from Event­Based Data Jonathan E. Cook and Alexander L process methods and tools presuppose the existence of a formal model of a process. Unfortunately

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

    E-Print Network [OSTI]

    Famiglietti, J. S; Wood, E. F

    1994-01-01

    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

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

    E-Print Network [OSTI]

    Famiglietti, J. S; Wood, E. F

    1994-01-01

    AND WOOD: MULTISCALE WATER AND ENERGY BALANCE MODELING Wood,of spatially variable water and energy balance processes J.hydrological modeling. Water and energy balance models are

  15. Mining Configurable Process Models from Collections of Event Logs

    E-Print Network [OSTI]

    van der Aalst, Wil

    towards the discovery of a configurable process model based on a collection of event logs. In this paper related work on process discovery, configurable process models and current model merging techniquesMining Configurable Process Models from Collections of Event Logs J.C.A.M. Buijs, B.F. van Dongen

  16. From Children's Perspectives: A Model of Aesthetic Processing in Theatre

    E-Print Network [OSTI]

    Klein, Jeanne

    2005-01-01

    A model of aesthetic processing describes how child audiences create meanings of plays in performances.

  17. Multiphase Flow Modeling of Biofuel Production Processes

    SciTech Connect (OSTI)

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

    2011-06-01

    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.

  18. 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

  19. Modeling Data for Business Processes Yutian Sun1

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Modeling Data for Business Processes Yutian Sun1 , Jianwen Su1 , Budan Wu, and Jian Yang2 omission in current development practice for business process (or workflow) management systems is modeling to modeling data for business processes: representing data used by a process as a hierarchically structured

  20. Modeling of HCCI and PCCI Combustion Processes | Department of...

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

    HCCI and PCCI Combustion Processes Modeling of HCCI and PCCI Combustion Processes 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters...

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

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

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

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

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

    and 6) coupled thermal-mechanical (TM) and thermo-hydrological (TH) modeling in salt. Evaluation of Generic EBS Design Concepts and Process Models Implications to EBS...

  3. Online Modeling in the Process Industry for Energy Optimization 

    E-Print Network [OSTI]

    Alexander, J.

    1988-01-01

    "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. Model Repair --Aligning Process Models to Reality Dirk Fahland, Wil M.P. van der Aalst

    E-Print Network [OSTI]

    van der Aalst, Wil

    discovery and (2) conformance checking. Process discovery techniques automatically construct a process model an existing process model does not conform to reality one could -- in principle -- use process discoveryModel Repair -- Aligning Process Models to Reality Dirk Fahland, Wil M.P. van der Aalst Eindhoven

  5. Environmental Modeling & ISSN 1420-2026

    E-Print Network [OSTI]

    . The method included (1) data collection of key technology market shares, capital costs, and operating costs models attempt to combine the technological explicitness of bottom-up models with the macroeconomic estimation of behavioral parameters (portraying firm and household technology choices) with such models

  6. Causal Nets: A Modeling Language Tailored Towards Process Discovery

    E-Print Network [OSTI]

    van der Aalst, Wil

    Causal Nets: A Modeling Language Tailored Towards Process Discovery W.M.P. van der Aalst, A focusing on the interplay between event logs (observed behavior) and process models. Process discovery Eindhoven, The Netherlands. {W.M.P.v.d.Aalst,A.Adriansyah,B.F.v.Dongen}@tue.nl Abstract. Process discovery

  7. Process Model Discovery: A Method Based on Transition System Decomposition

    E-Print Network [OSTI]

    van der Aalst, Wil

    Process Model Discovery: A Method Based on Transition System Decomposition Anna A. Kalenkova1 discovery algo- rithms deal with large data sets to learn automatically process models. As more event data by the unified process model. The proposed discovery algorithm is illustrated using a running example. 1

  8. Efficient Discovery of Understandable Declarative Process Models from Event Logs

    E-Print Network [OSTI]

    van der Aalst, Wil

    Efficient Discovery of Understandable Declarative Process Models from Event Logs Fabrizio M. Maggi models are more suitable for less structured processes, most discovery techniques generate conventional) process discovery (learning a model from example traces in an event log), (b) confor- mance checking

  9. Simplifying Mined Process Models: An Approach Based on Unfoldings

    E-Print Network [OSTI]

    van der Aalst, Wil

    information system. The discovery of process models from event logs is a relevant, but also chal- lenging to reproduce these traces. The automated discovery of process models based on event logs helps to jump problem of process discovery from event logs is to balance between over- fitting and underfitting. A model

  10. 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, Universität Wien Nordbergstraße 15, A-1090 Wien, Austria Abstract Chemical process models are highly for general-purpose chemical process modeling have been built. Multi- ple steady-states in ideal two

  11. 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

  12. 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

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    consumer energy expenditures. Direct rebound effects referimpact on estimates of energy demand and savings. ReboundRebound effects’ refers to the increase in usage of energy

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01

    domestic ‘‘push’’. Energy Policy 35, 1282–1291. Bergerson,N. Lutsey, D. Sperling / Energy Policy 36 (2008) 673–685Lutsey, D. Sperling / Energy Policy 36 (2008) 673–685 U.S.

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

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

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01

    develop renewable energy credit-tracking and trading systemenergy and emissions technologies, and development of emissions trading

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

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

    found across many different species of bacteria possessing TTSSs. Most importantly, the self-association ("multimerization") of proteins in this family has been shown to be one...

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01

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

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    Developing the World's best Energy-Efficient Appliances.Annual unit energy consumption in Best Practice ScenarioConsumption - EFF Unit Energy Consumption - Best Practice BP

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    Kaya, Y. , Impact of Carbon Dioxide Emissions on GNP Growth:savings and carbon dioxide emissions mitigation. Finalentering the stock. Carbon dioxide emissions are calculated

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    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

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    effect in TSL 5 Useful Energy from Ecodesign, EfficiencyAUS assumed equal to US Useful energy from Ecodesign study,regions. In addition, useful energy consumption 2 for

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    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

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    year data forecasted according to trends in the World Energyyear data, and scaling by the trend of IEA’s World Energyenergy consumption data (from IEA) and divided by GDPVA IND from the World

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    Products: The Case of India. Energy Policy, 2008. 36(9): p.in India, in 5th International Conference on EnergyIndia Indonesia Total without China Total including China Energy

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    Product Class Units Electric kWh/yr USA Gas Storage GJ/yr USA Gas Storage GJ/yr CAN Gas Storage Gas Instantaneous Gas Instantaneous GJ/yr

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

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

    The injected proteins, by mimicking host-cell mechanisms, can then subvert normal cellular function. The type III secretion system (TTSS) is a sophisticated protein complex...

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01

    large conventional hydroelectric power, municipal solidconventional large hydroelectric power). To quantify theby states that large hydroelectric is not counted toward the

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

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    2011. 2011. EIA, International Energy Outlook 2010. 2010.EIA, International Energy Outlook 2008. 2008. McNeil, M.A. ,Energy Agency, World Energy Outlook 2006. 2006, OECD. ILO,

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01

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

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass and Biofuels Biomass andPostdoctoralYourAssembly

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass and Biofuels Biomass

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass and Biofuels BiomassAssembly of a Molecular

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass and Biofuels BiomassAssembly of a

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWithAntiferromagneticInexpensive 2- toArthurAshley CadbyAssembly

  16. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformationBio-GasIllinois:EnergyIdahoTechnology Venture

  17. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformationBio-GasIllinois:EnergyIdahoTechnology Venture(Redirected from

  18. Hierarchical Three-Dimensional Microbattery Electrodes Combining Bottom-Up

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journal Article)lasers (Journal Article) |different|

  19. MODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES

    E-Print Network [OSTI]

    Van den Hof, Paul

    .mesbah@tudelft.nl Dynamic optimization is applied for optimal control of a semi-industrial batch crystallisation process of the open-loop optimal control due to plant-model mismatch, unmeasured process disturbances, irreproducibleMODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES A. Mesbah1, 2 , J. Landlust

  20. What can computational models tell us about face processing?

    E-Print Network [OSTI]

    Cottrell, Garrison W.

    What can computational models tell us about face processing? Garrison W. Cottrell Gary about face processing? Garrison W. Cottrell Gary's Unbelievable Research Unit (GURU) Computer Science, Lingyun Zhang What can computational models tell us about face processing? Garrison W. Cottrell Gary

  1. 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

  2. Model-based Prognostics with Concurrent Damage Progression Processes

    E-Print Network [OSTI]

    Daigle, Matthew

    and wear processes contribute to the overall component degradation. We develop a model- based prognostics-based model of a centrifugal pump that includes damage progression models, to which we apply our model Terms--model-based prognostics, particle filters, vari- ance control, centrifugal pumps I. INTRODUCTION

  3. 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

  4. ARM Processes and Their Modeling and Forecasting Methodology Benjamin Melamed

    E-Print Network [OSTI]

    Chapter 73 ARM Processes and Their Modeling and Forecasting Methodology Benjamin Melamed Abstract The class of ARM (Autoregressive Modular) processes is a class of stochastic processes, defined by a non- linear autoregressive scheme with modulo-1 reduction and additional transformations. ARM processes

  5. Automated Validation and Verification of Process Models Darren C. Atkinson

    E-Print Network [OSTI]

    Noll, John

    In process programming, processes are modeled as pieces of software, and a process programming language, implementation, and maintenance of software processes [2]. One of the outgrowths of this line of research that resemble, and in some cases are derived from, conventional programming languages [3]. One advantage

  6. Multiscale optimization models for powerintensive processes

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    [*] Operational flexibility for chemical processes in the spirit of 1. Swaney, R.E., and Grossmann, I.E. An Index in Chemical Processes. Comp. Chem. Eng., 11:675, 1987. Operational costs (annualized) Investment costs Separation Plant * Demand Side Management (DSM) consists of Demand Response (DR) and Energy Efficiency (EE

  7. Modeling and analysis of dual hydroforming process 

    E-Print Network [OSTI]

    Jain, Nishant

    2004-09-30

    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...

  8. 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

  9. Implementing a New Data Model for Simulating Processes 

    E-Print Network [OSTI]

    Reitsma, Femke; Albrecht, Jochen

    2006-01-01

    The paper describes the development of a new methodological approach for simulating geographic processes through the development of a data model that represents a process. This methodology complements existing approaches ...

  10. Fundamental kinetic modeling of the catalytic reforming process 

    E-Print Network [OSTI]

    Sotelo-Boyas, Rogelio

    2007-04-25

    model are the reduction of aromatics, mainly benzene. The results from the simulations agree with the typical performance found in the industrial process....

  11. Continuous Evaluation of Fast Processes in Climate Models Using...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Continuous Evaluation of Fast Processes in Climate Models Using Arm Measurements Citation Details In-Document Search Title: Continuous Evaluation of Fast...

  12. 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

  13. Economic Model Predictive Control of Nonlinear Process Systems Using Empirical Models

    E-Print Network [OSTI]

    ALANQAR, ANAS WAEL

    2015-01-01

    4 Application to a Chemical Process Example 5 Conclusionsnonlinear processes. Chemical Engineering Science 2003, 58,based on Wiener models. Chemical Engineering Science 1998,

  14. The Trend towards Statistical Models in Natural Language Processing

    E-Print Network [OSTI]

    Pennsylvania, University of

    a "language model," or (again from usage in communications theory) a "source model." In this applicationThe Trend towards Statistical Models in Natural Language Processing Mark Y. Liberman Department acquisition, and statistical models for applica- tion in speech recognizers, text or speech compression

  15. Modelling the dip coating process for hot metal castings

    E-Print Network [OSTI]

    McGuinness, Mark

    Modelling the dip coating process for hot metal castings Mark J. McGuinness #3; A.J. Roberts y #12; List of Figures 2 6 Modelling Coating Growth 17 6.1 Simple Conduction Model . . . . . . . . . . . . . . 23 6.3 Linear Temperature Model . . . . . . . . . . . . . . . . . . . 23 7 Estimates of Coating

  16. Language Models Introduction to Natural Language Processing

    E-Print Network [OSTI]

    Smith, David A.

    · Markov assumptions: bigrams, trigrams,... · Generating text from an n-gram model · This time · More in decoding A, and vice versa. 5 #12;AnotherView of Markov Models p(w1, w2, . . . , wn) = p(w1)p(w2 | w1)p(w3 | w1, w2) p(w4 | w1, w2, w3) · · · p(wn | p1, . . . , pn-1) 6 #12;AnotherView of Markov Models p(w1, w

  17. Automated Drill Modeling for Drilling Process Simulation

    E-Print Network [OSTI]

    Vijayaraghavan, Athulan; Dornfeld, David

    2006-01-01

    formats, respectively. The drills were then meshed using theFigure 7. FIGURE 5: GUI FOR DRILL MODELER. REFERENCES Choi,M. (1970a), “An Analysis of Drill Geometry for Optimum Drill

  18. An explication of the reactance processing model 

    E-Print Network [OSTI]

    Quick, Brian Lee

    2005-11-01

    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...

  19. Modeling the Emission Processes in Blazars

    E-Print Network [OSTI]

    Markus Boettcher

    2006-08-31

    Blazars are the most violent steady/recurrent sources of high-energy gamma-ray emission in the known Universe. They are prominent emitters of electromagnetic radiation throughout the entire electromagnetic spectrum. The observable radiation most likely originates in a relativistic jet oriented at a small angle with respect to the line of sight. This review starts out with a general overview of the phenomenology of blazars, including results from a recent multiwavelength observing campaign on 3C279. Subsequently, issues of modeling broadband spectra will be discussed. Spectral information alone is not sufficient to distinguish between competing models and to constrain essential parameters, in particular related to the primary particle acceleration and radiation mechanisms in the jet. Short-term spectral variability information may help to break such model degeneracies, which will require snap-shot spectral information on intraday time scales, which may soon be achievable for many blazars even in the gamma-ray regime with the upcoming GLAST mission and current advances in Atmospheric Cherenkov Telescope technology. In addition to pure leptonic and hadronic models of gamma-ray emission from blazars, leptonic/hadronic hybrid models are reviewed, and the recently developed hadronic synchrotron mirror model for TeV gamma-ray flares which are not accompanied by simultaneous X-ray flares (``orphan TeV flares'') is revisited.

  20. Computer modeling of the spallation process 

    E-Print Network [OSTI]

    Walker, Wayne Claire

    1978-01-01

    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...

  1. 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

  2. Estimating home energy decision parameters for a hybrid energyYeconomy policy model

    E-Print Network [OSTI]

    , household energy demand, hybrid energy model, bottom-up energy model 1. Introduction: energy a variety of energyYeconomy models are available to forecast the effectiveness of energy and envi- ronmentEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard

  3. Astrophysical Models of r-Process Nucleosynthesis: An Update

    E-Print Network [OSTI]

    Yong-Zhong Qian

    2012-01-24

    An update on astrophysical models for nucleosynthesis via rapid neutron capture, the r process, is given. A neutrino-induced r process in supernova helium shells may have operated up to metallicities of ~10^-3 times the solar value. Another r-process source, possibly neutron star mergers, is required for higher metallicities.

  4. Methodology Modelling: Combining Software Processes with Software Products \\Lambda

    E-Print Network [OSTI]

    Han, Jun

    of software processes in improving the quality of software products has been widely recognised for some time processes and software products is a major factor in improving soft­ ware quality. 2. Fine­grained, nonMethodology Modelling: Combining Software Processes with Software Products \\Lambda Jun Han and Jim

  5. Astrophysical models of r-process nucleosynthesis: An update

    SciTech Connect (OSTI)

    Qian Yongzhong [School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455 (United States)

    2012-11-12

    An update on astrophysical models for nucleosynthesis via rapid neutron capture, the r process, is given. A neutrino-induced r process in supernova helium shells may have operated up to metallicities of {approx} 10{sup -3} times the solar value. Another r-process source, possibly neutron star mergers, is required for higher metallicities.

  6. Modeling the Emission Processes in Blazars

    E-Print Network [OSTI]

    Böttcher, M

    2006-01-01

    Blazars are the most violent steady/recurrent sources of high-energy gamma-ray emission in the known Universe. They are prominent emitters of electromagnetic radiation throughout the entire electromagnetic spectrum. The observable radiation most likely originates in a relativistic jet oriented at a small angle with respect to the line of sight. This review starts out with a general overview of the phenomenology of blazars, including results from a recent multiwavelength observing campaign on 3C279. Subsequently, issues of modeling broadband spectra will be discussed. Spectral information alone is not sufficient to distinguish between competing models and to constrain essential parameters, in particular related to the primary particle acceleration and radiation mechanisms in the jet. Short-term spectral variability information may help to break such model degeneracies, which will require snap-shot spectral information on intraday time scales, which may soon be achievable for many blazars even in the gamma-ray ...

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

    E-Print Network [OSTI]

    Kneuven, Richard James

    1988-01-01

    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...

  8. MODELLING OF COMPLEX SIGNALS USING GAUSSIAN PROCESSES

    E-Print Network [OSTI]

    Tobar, Felipe; Turner, Richard E.

    2015-01-01

    Gaussian process, where finite collections of function values follow a multivariate complex Gaussian density [15]. Since the algebraic topology of the com- plex field is identical to that of the real filed, except for the con- jugate/Hermitian operator, all... of circular (top plots) and noncircular (bottom plots) data. Training samples (crosses), validation samples (circles), and GP predicted mean (red) and two-standard-deviation interval (light red). 5.2. A Circular Predictor We next trained circular GPs, that is...

  9. Chemical Models for Aqueous Biodynamical Processes

    E-Print Network [OSTI]

    Mata-Segreda, Julio F.

    1975-05-01

    by the increase in the spacing of the hydrocarbon portions of the mole- 9 cules. Persistence of the hydrogen-bonded structure in tso-propanol during the small isothermal expansion limits greatly the increase in disorder relative to the same process in acetone... of molecules packed in such a way that one of their nearest neighbors has been removed. This leaves the material with the right amount of volume expansion and a reasonable degree of short-range order. This idea can also be put in terms of "holes" traveling...

  10. Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model

    E-Print Network [OSTI]

    Dahl, David B.

    10 Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model DAVID B. DAHL data based on a well-defined statistical model, specifically, a conjugate Dirichlet process mixture are generally not known. Model-based clustering procedures have been proposed for microarray data, including (1

  11. Analyzing California's GHG Reduction Paths using CA-TIMES Energy System Model

    E-Print Network [OSTI]

    California at Davis, University of

    Analyzing California's GHG Reduction Paths using CA-TIMES Energy System Model Christopher Yang@ucdavis.edu NextSTEPS (Sustainable Transportation Energy Pathways) #12;CA-TIMES Model Overview · CA-TIMES is a bottom-up, linear optimization model of California's energy sectors ­ Technology and resources details

  12. 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

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

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

    Using process modeling tools to attain cost-effective results for GE customers Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click...

  14. MODELLING DISTRIBUTED KNOWLEDGE PROCESSES IN NEXT GENERATION MULTIDISCIPLINARY ALLIANCES *

    E-Print Network [OSTI]

    Bowker, Geoffrey C.

    MODELLING DISTRIBUTED KNOWLEDGE PROCESSES IN NEXT GENERATION MULTIDISCIPLINARY ALLIANCES * Alaina G and industrial dollars are invested in establishing academic-industry alliances and building infrastructures and technology in distributed, multidisciplinary scientific teams in the National Computational Science Alliance

  15. Use of artificial intelligence for process modeling and control 

    E-Print Network [OSTI]

    You, Yong

    1991-01-01

    USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Submitted to the Office of Graduate Stuclies of Texas A&M University in partial fulffllment of the requirement for the degree of IvIASTER OF SCIENCE May... 1991 Major Subject: Chemical Engineering USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Approved as to style and content by: Michael Nikolaou (Chair of Committee) Ralph E. White (Member) Alexande...

  16. Gas permeation carbon capture --- Process modeling and optimization

    SciTech Connect (OSTI)

    Morinelly, Juan; Miller, David

    2011-01-01

    A multi-staged gas permeation carbon capture process model was developed in Aspen Custom Modeler{reg_sign} (ACM) and optimized in the context of the retrofit of a 550 MW subcritical pulverized coal (PC) power plant. The gas permeation stages in the process are described by a custom multi-component, hollowfiber membrane model. Gas transport across the asymmetric membrane was modeled according to the solution-diffusion model for the selective skin layer and the assumption of negligible flux resistance by the porous support. Counter-current, one-dimensional plug flow was assumed with permeate pressure drop in the fiber lumen side due to capillary constrained flow. A modular optimization framework was used to minimize the levelized cost of electricity (LCOE) by optimizing a set of key process variables. The framework allows the external control of multiple simulation modules from different software packages from a common interface.

  17. Automatic Translation of Process Modeling Formalisms George T. Heineman

    E-Print Network [OSTI]

    Heineman, George T.

    in the organization performs the tasks, and where the tasks are done. Activity charts are used to model the func- tional perspective of the process. These charts 2Statemate is a trademark of i-Logix, Inc., Burling- ton of individual process steps. The #12;nal per- spective is provided by module charts that de- scribe

  18. 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

  19. 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

  20. SolarStat: Modeling Photovoltaic Sources through Stochastic Markov Processes

    E-Print Network [OSTI]

    Rossi, Michele

    SolarStat: Modeling Photovoltaic Sources through Stochastic Markov Processes Marco Miozzo target photovoltaic panels with small form factors, as those exploited by embedded communication devices the GPL license at [1]. Index Terms--Renewable Photovoltaic Sources, Stochastic Markov Modeling, Empirical

  1. Modeling and Processing of High Dimensional Signals and Systems Using

    E-Print Network [OSTI]

    1 Modeling and Processing of High Dimensional Signals and Systems Using the Sparse Matrix Transform Experimental results on medical imaging Covariance estimation for high dimensional signals SMT framework SMT for covariance estimation Experimental results of SMT for modeling hyper-spectral data and face images

  2. 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

  3. Markov Decision Processes: Models, Methods, Directions and Open Problems

    E-Print Network [OSTI]

    Shwartz, Adam

    of optimization models for the operation of multipurpose reser- voir systems does not seem widespread. Instead and the St-Lawrence seaway. Throughout the twentieth cen- tury, hydroelectric production has become a major modeling of reservoir management problems as Markov decision processes (MDP), and their optimization

  4. 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

  5. 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

  6. 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

  7. Implementation of New Process Models for Tailored Polymer Composite Structures into Processing Software Packages

    SciTech Connect (OSTI)

    Nguyen, Ba Nghiep; Jin, Xiaoshi; Wang, Jin; Phelps, Jay; Tucker III, Charles L.; Kunc, Vlastimil; Bapanapalli, Satish K.; Smith, Mark T.

    2010-02-23

    This report describes the work conducted under the Cooperative Research and Development Agreement (CRADA) (Nr. 260) between the Pacific Northwest National Laboratory (PNNL) and Autodesk, Inc. to develop and implement process models for injection-molded long-fiber thermoplastics (LFTs) in processing software packages. The structure of this report is organized as follows. After the Introduction Section (Section 1), Section 2 summarizes the current fiber orientation models developed for injection-molded short-fiber thermoplastics (SFTs). Section 3 provides an assessment of these models to determine their capabilities and limitations, and the developments needed for injection-molded LFTs. Section 4 then focuses on the development of a new fiber orientation model for LFTs. This model is termed the anisotropic rotary diffusion - reduced strain closure (ARD-RSC) model as it explores the concept of anisotropic rotary diffusion to capture the fiber-fiber interaction in long-fiber suspensions and uses the reduced strain closure method of Wang et al. to slow down the orientation kinetics in concentrated suspensions. In contrast to fiber orientation modeling, before this project, no standard model was developed to predict the fiber length distribution in molded fiber composites. Section 5 is therefore devoted to the development of a fiber length attrition model in the mold. Sections 6 and 7 address the implementations of the models in AMI, and the conclusions drawn from this work is presented in Section 8.

  8. Mathematical modeling and computer simulation of processes in energy systems

    SciTech Connect (OSTI)

    Hanjalic, K.C. )

    1990-01-01

    This book is divided into the following chapters. Modeling techniques and tools (fundamental concepts of modeling); 2. Fluid flow, heat and mass transfer, chemical reactions, and combustion; 3. Processes in energy equipment and plant components (boilers, steam and gas turbines, IC engines, heat exchangers, pumps and compressors, nuclear reactors, steam generators and separators, energy transport equipment, energy convertors, etc.); 4. New thermal energy conversion technologies (MHD, coal gasification and liquefaction fluidized-bed combustion, pulse-combustors, multistage combustion, etc.); 5. Combined cycles and plants, cogeneration; 6. Dynamics of energy systems and their components; 7. Integrated approach to energy systems modeling, and 8. Application of modeling in energy expert systems.

  9. 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

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

    E-Print Network [OSTI]

    Belouadha, Fatima-Zahra; Roudiès, Ounsa

    2012-01-01

    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...

  11. 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.

    2010-11-01

    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.

  12. 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

    2010-01-01

    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.

  13. Modelling the transient processes produced under heavy particle irradiation

    E-Print Network [OSTI]

    Sorina Lazanu; Ionel Lazanu; Gheorghe Ciobanu

    2010-11-30

    A new model for the thermal spike produced by the nuclear energy loss, as source of transient processes, is derived analytically, for power law dependences of the diffusivity on temperature, as solution of the heat equation. The contribution of the ionizing energy loss to the spike is not included. The range of validity of the model is analysed, and the results are compared with numerical solutions obtained in the frame of the previous model of the authors, which takes into account both nuclear and ionization energy losses, as well as the coupling between the two subsystems in crystalline semiconductors. Particular solutions are discussed and the errors induced by these approximations are analysed.

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

    SciTech Connect (OSTI)

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

    1995-09-01

    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. Adjoint modeling for atmospheric pollution process sensitivity at regional scale

    E-Print Network [OSTI]

    Menut, Laurent

    , a strong pollution event was documented over Paris as part of the Etude et Simulation de la Qualite´ de l'airAdjoint modeling for atmospheric pollution process sensitivity at regional scale Laurent Menut 1998 the pollution event changes from a well-marked ozone plume issued from Paris to a more general

  16. STUDIES ON MODELING AND CONTROL OF CONTINUOUS BIOTECHNICAL PROCESSES

    E-Print Network [OSTI]

    Skogestad, Sigurd

    STUDIES ON MODELING AND CONTROL OF CONTINUOUS BIOTECHNICAL PROCESSES by Ying Zhao A T hesis grandmother, Youlian Huya on her centennial birth anniversary , 1 #12; #12; i ABSTRACT Continuous bioreactors to the development of advanced control strategies for continuous bioreactors. Therefore, the field of continuous

  17. CHANGE PROCESS MODELLING USING THE EKD-CHANGE MANAGEMENT METHOD

    E-Print Network [OSTI]

    Boyer, Edmond

    CHANGE PROCESS MODELLING USING THE EKD-CHANGE MANAGEMENT METHOD S. Nurcan* , J. Barrios*1 , G The Enterprise Knowledge Development - Change Management Method (EKD-CMM) provides a systematic way to organise and to guide the organisational change management. The EKD-CMM road map, implemented in the electronic guide

  18. Modelling microbial population dynamics in nitritation processes Elisabetta Giusti a

    E-Print Network [OSTI]

    Modelling microbial population dynamics in nitritation processes Elisabetta Giusti a , Stefano. Marta 3, I-50139 Florence, Italy b ENEA, Italian National Agency for New Technologies, Energy January 2011 Accepted 1 February 2011 Available online 3 March 2011 Keywords: Microbial kinetics Activated

  19. A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

    E-Print Network [OSTI]

    Kallsen, Jan

    A NON­GAUSSIAN ORNSTEIN­UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

  20. Automatic Translation of Process Modeling Formalisms George T. Heineman 1

    E-Print Network [OSTI]

    these perspective charts. ffl Functional perspective -- determines what the tasks are, and the information flow Organizational perspective -- determines who in the organization performs the tasks, and where the tasks are done. Activity charts are used to model the functional perspective of the process. These charts focus

  1. Modelling of Industrial Processes for Polymer Extrusion and Injection Moulding

    E-Print Network [OSTI]

    Eindhoven, Technische Universiteit

    /Continuum Mechanics. Faculty: Mathematics and Computing Science. Eindhoven University of Technology (EUT) Our mainModelling of Industrial Processes for Polymer Melts: Extrusion and Injection Moulding Fons van de Ven Eindhoven University of Technology P.O.Box 513; 5600 MB Eindhoven, The Netherlands Abstract

  2. Dynamic Simulation Model of a Consumer Foods Production Process !

    E-Print Network [OSTI]

    Sun, Yu

    schedule based on product list The SIMUL8 Component 1. Over 200 lines of simula0on code 2. ReadsDynamic Simulation Model of a Consumer Foods Production Process ! Goals · Create a dynamic simula0 Created par0ally automated Excel files to go handin hand with simula0on o Contains all SKUs and meat

  3. A Formal Foundation for Process Modeling Christopher Menzel Michael Gruninger

    E-Print Network [OSTI]

    Menzel, Christopher

    77840-4237 College Park, MD 20742 cmenzel@tamu.edu gruning@cme.nist.gov Abstract: Process modeling is ubiquitous in business and industry. While a great deal of effort has been devoted to the formal is ubiquitous in business and industry. While a great deal of effort has been devoted to the formal

  4. Estimation of landfill emission lifespan using process oriented modeling

    SciTech Connect (OSTI)

    Ustohalova, Veronika . E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim; Widmann, Renatus

    2006-07-01

    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.

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

    SciTech Connect (OSTI)

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

    2013-09-01

    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.

  6. "Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Nibbs, Faith G.

    2007-08-24

    While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

  7. Synthesis of Remote Sensing and Field Observations to Model and Understand Disturbance and Climate Effects on the Carbon Balance of Oregon & Northern California

    SciTech Connect (OSTI)

    Beverly Law; David Turner; Warren Cohen; Mathias Goeckede

    2008-05-22

    The goal is to quantify and explain the carbon (C) budget for Oregon and N. California. The research compares "bottom -up" and "top-down" methods, and develops prototype analytical systems for regional analysis of the carbon balance that are potentially applicable to other continental regions, and that can be used to explore climate, disturbance and land-use effects on the carbon cycle. Objectives are: 1) Improve, test and apply a bottom up approach that synthesizes a spatially nested hierarchy of observations (multispectral remote sensing, inventories, flux and extensive sites), and the Biome-BGC model to quantify the C balance across the region; 2) Improve, test and apply a top down approach for regional and global C flux modeling that uses a model-data fusion scheme (MODIS products, AmeriFlux, atmospheric CO2 concentration network), and a boundary layer model to estimate net ecosystem production (NEP) across the region and partition it among GPP, R(a) and R(h). 3) Provide critical understanding of the controls on regional C balance (how NEP and carbon stocks are influenced by disturbance from fire and management, land use, and interannual climate variation). The key science questions are, "What are the magnitudes and distributions of C sources and sinks on seasonal to decadal time scales, and what processes are controlling their dynamics? What are regional spatial and temporal variations of C sources and sinks? What are the errors and uncertainties in the data products and results (i.e., in situ observations, remote sensing, models)?

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

    SciTech Connect (OSTI)

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

    2014-06-05

    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.

  9. Modelling ocean circulation processes in the MIT general circulation model using nen 

    E-Print Network [OSTI]

    Barnshaw, Heather E

    2007-09-24

    Previous work by Reitsma and Albrecht (2005, 2006) and Reitsma and Dubayah (2006) documented the development and implementation of a new process-based data model, called nen. This paper extends that work by applying the ...

  10. Guiding the Discovery of Open Source Software Processes with a Reference Model

    E-Print Network [OSTI]

    Scacchi, Walt

    Guiding the Discovery of Open Source Software Processes with a Reference Model Chris Jensen1 that characterize the process. Keywords. Reference model, open source, process discovery 1 Introduction OSS a reference model based approach for process discovery to assist in coding process evidence to reduce the risk

  11. Discovering Hierarchical Process Models R.P. Jagadeesh Chandra Bose1,2

    E-Print Network [OSTI]

    van der Aalst, Wil

    ) with domain significance. Keywords: process discovery, process maps, hierarchical models, ab- stractions approach to process discovery and our two-phase approach. Note that the process model (map) discovered the discovery of hi- erarchical process models. In this paper, we demonstrate the discovery of hierar- chical

  12. Discovering Block-Structured Process Models From Event Logs Containing Infrequent Behaviour

    E-Print Network [OSTI]

    van der Aalst, Wil

    behaviour, process discovery aims to find a process model that `best' describes this behaviour. A large and bottlenecks [17,15,4]. e d a b c f Figure 1: Unsound process model. The challenge in process discovery infrequent behaviour and challenge discovery algorithms, as a process model scoring well on all quality

  13. Soft wall model for a holographic superconductor

    E-Print Network [OSTI]

    S. S. Afonin; I. V. Pusenkov

    2015-06-17

    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.

  14. Soft wall model for a holographic superconductor

    E-Print Network [OSTI]

    Afonin, S S

    2015-01-01

    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.

  15. Gaussian Process Model for Collision Dynamics of Complex Molecules

    E-Print Network [OSTI]

    Cui, Jie

    2015-01-01

    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 ...

  16. 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

    2010-08-31

    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.

  17. Modeling the Vulnerability Discovery Process O. H. Alhazmi and Y. K. Malaiya

    E-Print Network [OSTI]

    Malaiya, Yashwant K.

    1 Modeling the Vulnerability Discovery Process O. H. Alhazmi and Y. K. Malaiya Computer Science models for the vulnerability discovery process have just been published recently. Such models will allow of vulnerability exploitation. Here we examine these models for the vulnerability discovery process. The models

  18. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect (OSTI)

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

    2010-08-01

    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.

  19. Preliminary time-phased TWRS process model results

    SciTech Connect (OSTI)

    Orme, R.M.

    1995-03-24

    This report documents the first phase of efforts to model the retrieval and processing of Hanford tank waste within the constraints of an assumed tank farm configuration. This time-phased approach simulates a first try at a retrieval sequence, the batching of waste through retrieval facilities, the batching of retrieved waste through enhanced sludge washing, the batching of liquids through pretreatment and low-level waste (LLW) vitrification, and the batching of pretreated solids through high-level waste (HLW) vitrification. The results reflect the outcome of an assumed retrieval sequence that has not been tailored with respect to accepted measures of performance. The batch data, composition variability, and final waste volume projects in this report should be regarded as tentative. Nevertheless, the results provide interesting insights into time-phased processing of the tank waste. Inspection of the composition variability, for example, suggests modifications to the retrieval sequence that will further improve the uniformity of feed to the vitrification facilities. This model will be a valuable tool for evaluating suggested retrieval sequences and establishing a time-phased processing baseline. An official recommendation on tank retrieval sequence will be made in September, 1995.

  20. Model choice considerations and information integration using analytical hierarchy process

    SciTech Connect (OSTI)

    Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Booker, Jane M [BOOKER SCIENTIFIC; Ross, Timothy J. [UNM

    2010-10-15

    Using the theory of information-gap for decision-making under severe uncertainty, it has been shown that model output compared to experimental data contains irrevocable trade-offs between fidelity-to-data, robustness-to-uncertainty and confidence-in-prediction. We illustrate a strategy for information integration by gathering and aggregating all available data, knowledge, theory, experience, similar applications. Such integration of information becomes important when the physics is difficult to model, when observational data are sparse or difficult to measure, or both. To aggregate the available information, we take an inference perspective. Models are not rejected, nor wasted, but can be integrated into a final result. We show an example of information integration using Saaty's Analytic Hierarchy Process (AHP), integrating theory, simulation output and experimental data. We used expert elicitation to determine weights for two models and two experimental data sets, by forming pair-wise comparisons between model output and experimental data. In this way we transform epistemic and/or statistical strength from one field of study into another branch of physical application. The price to pay for utilizing all available knowledge is that inferences drawn for the integrated information must be accounted for and the costs can be considerable. Focusing on inferences and inference uncertainty (IU) is one way to understand complex information.

  1. 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

    2011-09-29

    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.

  2. 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

  3. 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

  4. Model operating permits for natural gas processing plants

    SciTech Connect (OSTI)

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

    1995-12-31

    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.

  5. SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity

    E-Print Network [OSTI]

    Bejerano, Gill

    SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity Qingyuan Zhao Stanford: Algorithms; Experimentation. Keywords: information diffusion; cascade prediction; self-exciting point process

  6. The Representation of Social Processes by Markov Models Burton Singer; Seymour Spilerman

    E-Print Network [OSTI]

    Fienberg, Stephen E.

    The Representation of Social Processes by Markov Models Burton Singer; Seymour Spilerman Models1 Burton Singer Columbia University Seymour Spilerman University of Wisconsin-Madison In this paper

  7. 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

    2010-01-01

    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...

  8. 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)

    1997-01-01

    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.

  9. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

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

    1997-08-19

    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.

  10. Development of an equipment management model to improve effectiveness of processes

    SciTech Connect (OSTI)

    Chang, H. S.; Ju, T. Y.; Song, T. Y.

    2012-07-01

    The nuclear industries have developed and are trying to create a performance model to improve effectiveness of the processes implemented at nuclear plants in order to enhance performance. Most high performing nuclear stations seek to continually improve the quality of their operations by identifying and closing important performance gaps. Thus, many utilities have implemented performance models adjusted to their plant's configuration and have instituted policies for such models. KHNP is developing a standard performance model to integrate the engineering processes and to improve the inter-relation among processes. The model, called the Standard Equipment Management Model (SEMM), is under development first by focusing on engineering processes and performance improvement processes related to plant equipment used at the site. This model includes performance indicators for each process that can allow evaluating and comparing the process performance among 21 operating units. The model will later be expanded to incorporate cost and management processes. (authors)

  11. 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

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

    SciTech Connect (OSTI)

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

    2011-01-03

    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.

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

    E-Print Network [OSTI]

    Famiglietti, JS; Wood, EF

    1994-01-01

    MULTISCALE WATER AND ENERGY BALANCE MODELING Wood, E. F. ,MULTISCALE WATER AND ENERGY BALANCE MODELING cess runoff,models of water and energy balance, Ph.D. dissertation,

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

    E-Print Network [OSTI]

    Jang, Won-Hyouk

    2001-01-01

    Food extrusion processes are becoming critical in the production of novel nutritional food products, whereas the design of advanced process control, monitoring and diagnostics systems has not been actively pursued in the food processing industry...

  15. Micromagnetic modeling and analysis for memory and processing applications

    E-Print Network [OSTI]

    Lubarda, Marko V.

    2012-01-01

    simulating thermal activation processes over energy barriersthermal fluc- tuations: Basic phenomenology, fast remagnetization processes and transitions over high-energythermal energy over a delivery area factors smaller than what would be allowed by conventional diffraction-limited processes.

  16. Channel modeling, signal processing and coding for perpendicular magnetic recording

    E-Print Network [OSTI]

    Wu, Zheng

    2009-01-01

    1.2 Signal Processing and Coding Techniques in ReadCRC Handbook for Coding and Signal Processing for RecordingCRC Handbook for Coding and Signal Processing for Recording

  17. Integrated Modeling of Process-and Data-Centric Software Systems with PHILharmonicFlows

    E-Print Network [OSTI]

    Ulm, Universität

    Integrated Modeling of Process- and Data-Centric Software Systems with PHILharmonicFlows Carolina--Process- and data-centric software systems require a tight integration of processes, functions, data, and users methodological guidance for modeling large process- and data-centric software systems based on PHILharmonic

  18. A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell

    E-Print Network [OSTI]

    Campbell, Russell Bruce

    A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell Department://www.math.uni.edu/campbell (319) 273-2447 Running head: Logistic Branching Process Keywords: Branching Process, Coalescent approximation to the Wright-Fisher model. A logistic branching process is introduced in order to limit

  19. Simulating an Automated Approach to Discovery and Modeling of Open Source Software Development Processes

    E-Print Network [OSTI]

    Scacchi, Walt

    of automated process discovery and modeling mechanisms that can be applied to Web-based software development projects. Keywords: Automated Process Discovery, Process Modeling and Simulation, Open Source SoftwareSimulating an Automated Approach to Discovery and Modeling of Open Source Software Development

  20. Simulating an Automated Approach to Discovery and Modeling of Open Source Software Development Processes

    E-Print Network [OSTI]

    Scacchi, Walt

    Process Discovery, Process Modeling and Simulation, Open Source Software Development 1. Introduction to that can more readily facilitate process discovery and modeling. In our approach, we identify the kindsSimulating an Automated Approach to Discovery and Modeling of Open Source Software Development

  1. 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

  2. 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

  3. A Conceptually Rich Model of Business Process Compliance Guido Governatori Antonino Rotolo

    E-Print Network [OSTI]

    Governatori, Guido

    A Conceptually Rich Model of Business Process Compliance Guido Governatori Antonino Rotolo NICTA a suitable language for business process modeling able to automate and optimise business proce- dures) and further inves- tigate how to model compliance in business processes. In (Governatori & Rotolo 2008a) we

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

    SciTech Connect (OSTI)

    R. Youngblood

    2014-06-01

    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.

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

    E-Print Network [OSTI]

    Nguyen, Hung Viet

    2010-01-01

    and waste that prevail in construction processes, especiallywaste, and maximize efficiency through all phases of design, fabrication, and construction” (and wastes which are inherent in construction processes,

  6. 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

  7. 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

  8. Yardstick and Ex-post Regulation by Norm Model: Empirical Equivalence, Pricing Effect, and Performance in Sweeden

    E-Print Network [OSTI]

    Jamasb, Tooraj; Söderberg, M.

    Contact tooraj.jamasb@econ.cam.ac.uk Publication Financial Support UK Economic and Social Research Council 5 January 2009 Yardstick and Ex-Post Regulation by Norm Model: Empirical Equivalence, Pricing Response, and Firm Performance... . In the regulatory context norm models have been regarded as a means to reduce the information asymmetry between the regulator and the regulated firm. Norm models can be regarded as a bottom-up approach to benchmarking, whereas real firm models of benchmarking...

  9. Probabilistic Grammars as Models of Gradience in Language Processing

    E-Print Network [OSTI]

    Keller, Frank

    on this evidence, we argue that the gradient behavior observed in the processing of certain syntactic constructions

  10. 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

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    in the reboilers, which in turn decreases water use in the boiler loop. This coupling of the two process synthesis

  12. 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

    2009-10-01

    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.

  13. Introduction to Holographic Superconductor Models

    E-Print Network [OSTI]

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

    2015-05-07

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

  14. Discovering Block-Structured Process Models From Event Logs -A Constructive Approach

    E-Print Network [OSTI]

    van der Aalst, Wil

    Discovering Block-Structured Process Models From Event Logs - A Constructive Approach S University of Technology, P.O. Box 513, NL-5600 MB, Eindhoven, The Netherlands Abstract Process discovery is the problem of, given a log of observed behaviour, finding a process model that `best' describes

  15. 3.3 SEDIMENT SOURCES, TRANSPORT PROCESSES AND MODELING APPROACHES by Michael Church

    E-Print Network [OSTI]

    63 3.3 SEDIMENT SOURCES, TRANSPORT PROCESSES AND MODELING APPROACHES 3.3 by Michael Church, Environment Canada, Burlington, Ont. SEDIMENT SOURCES, TRANSPORT PROCESSES, AND MODELING APPROACHES FOR THE FRASER RIVER A thorough understanding of sediment sources and transport processes in rivers is essential

  16. 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

  17. 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

  18. Correctness-Preserving Configuration of Business Process Models

    E-Print Network [OSTI]

    van der Aalst, Wil

    such as the IT Infrastructure Library (ITIL) [21] or the Supply Chain Operations Reference (SCOR) model [20]. Also, the SAP

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

    E-Print Network [OSTI]

    Liu, Hui-Hai

    2010-01-01

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

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

    E-Print Network [OSTI]

    Liu, Hui-Hai

    2010-01-01

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

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

    E-Print Network [OSTI]

    Liu, Hui-Hai

    2010-01-01

    Transport Modelling in the Paris Basin over Geologic Time,hydrologic phenomena in the Paris Basin (Jost et al. 2005)

  2. ADAPTIVE CALIBRATION AND CONTROL OF CASCADE PROCESSES WITH UNKNOWN MEASUREMENT MODEL AND ACTUATOR DYNAMICS AND ITS

    E-Print Network [OSTI]

    Li, Perry Y.

    ADAPTIVE CALIBRATION AND CONTROL OF CASCADE PROCESSES WITH UNKNOWN MEASUREMENT MODEL AND ACTUATOR the material being processed goes through a sequence of processing units. The output of an upstream processing unit is fed into the input of the unit downstream. In many cases, the variables of interests are only

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

    E-Print Network [OSTI]

    Mercure, J -F

    2012-01-01

    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...

  4. A Human Performance Modeling System for Process Safety Operations 

    E-Print Network [OSTI]

    Harputlu, Emrah 1986-

    2013-01-02

    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...

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

    E-Print Network [OSTI]

    Lee, Hyun Cheol

    2005-11-01

    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...

  6. Solar Proton Burning Process Revisited within a Covariant Model Based on the Bethe-Salpeter Formalism

    E-Print Network [OSTI]

    L. P. Kaptari; B. Kämpfer; E. Grosse

    2000-01-14

    A covariant model based on the Bethe-Salpeter formalism is proposed for investigating the solar proton burning process $pp\\to De^+\

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

    E-Print Network [OSTI]

    Rajaraman, Srinivasan

    2006-08-16

    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 ...

  8. Switching Between Discrete and Continuous Process Models to Predict Molecular Genetic Activity

    E-Print Network [OSTI]

    Weld, Daniel Sabey

    1984-05-01

    Two kinds of process models have been used in programs that reason about change: Discrete and continuous models. We describe the design and implementation of a qualitative simulator, PEPTIDE, which uses both kinds of ...

  9. Gaussian Process Modeling and Computation in Engineering Applications 

    E-Print Network [OSTI]

    Pourhabib, Arash

    2014-07-08

    ; 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...

  10. 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

    2015-01-01

    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.

  11. 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; Patterson, Burton R.; Homer, Eric R.

    2013-09-01

    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.

  12. Multiscale modeling of exocytosis in the fertilization process

    E-Print Network [OSTI]

    Aldo Ledesma Duran; I. Santamaria-Holek

    2015-02-23

    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.

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

    SciTech Connect (OSTI)

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

    1993-06-01

    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.

  14. Mathematical Physics: A mathematical model of frying processes

    E-Print Network [OSTI]

    Primicerio, Mario

    in the organic material by the thermal history (see [8] [9] and e.g. [7] for an introduction to the influence the correct Rankine-Hugoniot type conditions. Moreover, in the model that will be presented and discussed

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

    E-Print Network [OSTI]

    Silva, James Emanuel

    2012-01-01

    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 ...

  16. Modeling of a continuous food process with neural networks 

    E-Print Network [OSTI]

    Bullock, David Cole

    1995-01-01

    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 ...

  17. Model-based Pre-processing in Protein Mass Spectrometry 

    E-Print Network [OSTI]

    Wagaman, John C.

    2011-02-22

    with varied mass accuracy. . . . . . . . . . 77 x TABLE Page 12. Average number (and standard error) of misclassified spectra af- ter applying PPC to our model-based peaks, using different nor- malization techniques. Results in this table use all 89 spectra... to identify peak cluster locations and split points. . . . . . . . . . . . . 82 13. Leave-one-out cross-validation of misclassified spectra after apply- ing PPC, LADA and AdaBoost to our model-based peaks, using different normalization techniques and only...

  18. 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.

    2015-02-02

    performance of CSTR over PFR for this process. ? Fed-batch processes are proposed as the optimal reactor operation. a r t i c l e i n f o Article history: Received 1 October 2014 Received in revised form 9 January 2015 Accepted 24 January 2015 Available online... ). Furthermore, hydrogen production in cyanobacteria is much higher than that in green algae. For example Dechatiwongse et al. (2015) compared the capacity of different microorganisms on hydro- gen production, and it is found that the maximum hydrogen produc...

  19. Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Center for Advanced Process Decision-making Department of Chemical Engineering Carnegie Mellon University Epoxides (ethylene oxide (EO), propylene oxide (PO)) OO OO Molecules containing active hydrogen atoms + YT a YT b ZT g(t) Stable solution needs f(x) = 0, when Reformulated system YT a x

  20. MN 507 Process Modelling and Control Spring 2009

    E-Print Network [OSTI]

    Lin, Xi

    . Examples are drawn from a variety of applications including welding, MEMS, CD manufacturing, thermal the knowledge base needed to improve and develop unique manufacturing capabilities as well as for new products processing, film deposition for electronics, optics, and energy applications, robotics, biomedical

  1. 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

  2. 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

  3. A regression model with a hidden logistic process for signal parametrization

    E-Print Network [OSTI]

    Chamroukhi, Faicel

    A regression model with a hidden logistic process for signal parametrization F. Chamroukhi, A. Samé/UTC-France) ESANN 2009 April 24 2009 2 / 21 #12;Context Context: Predictive maintenance of the French railway 2009 6 / 21 #12;The proposed regression approach A regression model with a hidden logistic process

  4. 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

  5. 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

  6. 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

  7. 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

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    environmental and social impact, but keeping profitable operations. · These challenges must be addressed:D:, Giurco D., Green S., 2009, Incorporating sustainable development in the design of mineral processing the environmental impact, both in per tonne of product and on total amount of emissions and reduction. #12

  9. Modeling and simulating software acquisition process architectures S. James Choi a,1

    E-Print Network [OSTI]

    Scacchi, Walt

    acquisition includes the processes typically associated with the software engineering life cycle. However, during, and after their software engineering life cycle. The need to address processes for systemsModeling and simulating software acquisition process architectures S. James Choi a,1 , Walt Scacchi

  10. DistributionFree Multivariate Process Control Based On LogLinear Modeling School of Statistics

    E-Print Network [OSTI]

    Qiu, Peihua

    Distribution­Free Multivariate Process Control Based On Log­Linear Modeling Peihua Qiu School the process measurement is multivariate. In the literature, most existing multivariate SPC procedures assume that the in­control distribution of the multivariate process measurement is known and it is a Gaussian

  11. Extended Model Variety Analysis for Integrated Processing and Understanding of Signals

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Extended Model Variety Analysis for Integrated Processing and Understanding of Signals E. Dorken, S processing algorithm with respect to the class of all input signals that may po- tentially arise in a given each signal is correctly or incorrectly pro- cessed by the signal processing algorithm under consid

  12. Extended Model Variety Analysis for Integrated Processing and Understanding of Signals \\Lambda

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Extended Model Variety Analysis for Integrated Processing and Understanding of Signals \\Lambda E processing algorithm with respect to the class of all input signals that may po­ tentially arise in a given each signal is correctly or incorrectly pro­ cessed by the signal processing algorithm under consid

  13. CFD Modeling of Thermal Effects of Nuclear Waste Vitrification Processes

    SciTech Connect (OSTI)

    Rayner, Chris; Soltani, Mehdi; Barringer, Chris; Knight, Kelly

    2006-07-01

    The Waste Treatment Plant (WTP) at Hanford, WA will vitrify nuclear waste stored at the DOE Hanford facility. The vitrification process will take place in two large concrete buildings where the glass is poured into stainless steel canisters or containers and allowed to cool. Computational Fluid Dynamics (CFD) was used extensively to calculate the effects of the heat released by molten glass as it is poured and cooled, on the HVAC system and the building structure. CFD studies of the glass cooling in these facilities were used to predict canister temperatures, HVAC air temperatures, concrete temperatures and insulation requirements, and design temperatures for canister handling equipment and instrumentation at various stages of the process. These predictions provided critical input in the design of the HVAC system, specification of insulation, the design of canister handling equipment, and the selection of instrumentation. (authors)

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

    E-Print Network [OSTI]

    Zeng, Tong

    1995-01-01

    controller has been developed. Relay mapping S has been applied for the first time in a feedback system. Simulations of this new methodology have been made in several cases, such as using different relay step sizes, and adding disturbance and parameter slow... drift. The simulation results show that the closed loop identification using relay mapping S represents process dynamics in an accurate way. Simulation results also show that the feedback system with relay mapping S has certain advantages over...

  15. Modelling aging effects on a thermal cycling absorption process column

    SciTech Connect (OSTI)

    Laquerbe, C.; Contreras, S.; Demoment, J.

    2008-07-15

    Palladium coated on alumina is used in hydrogen separation systems operated at CEA/Valduc, and more particularly in Thermal Cycling Absorption Process columns. With such materials, tritium decay is known to induce aging effects which have direct side effects on hydrogen isotopes absorption isotherms. Furthermore in a TCAP column, aging occurs in an heterogeneous way. The possible impacts of these intrinsic material evolutions on the separation performances are investigated here through a numerical approach. (authors)

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

    E-Print Network [OSTI]

    to the computer and the plant operator. INIS Descriptors: AUTOMATION; CONSERVATION LAWS; CONTROL SYS- TEMS; ENERGY BALANCE; FLOW MODELS; INDUSTRIAL PLANTS; MASS BALANCE; NUCLEAR POWER PLANTS; PLANNING; REACTOR OPERATION 24 REFERENCES 25 #12;#12;- 5 - INTRODUCTION The operation of large industrial installations

  17. Control-Oriented Model for Camless Intake Process (Part I)

    E-Print Network [OSTI]

    Stefanopoulou, Anna

    48121 Abstract The improvement of internal combustion engine is largely accomplished though the introduction of innova- tive actuators that allow optimization and control of the ow, mixing, and combustion the control- oriented model for the cylinder air charge and the pump- ing losses assuming uniform air pulses

  18. 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

  19. Markov Decision Processes: Models, Methods, Directions and Open Problems

    E-Print Network [OSTI]

    Shwartz, Adam

    , the use of optimization models for the operation of multipurpose reser- voir systems does not seem as in the Panama canal and the St-Lawrence seaway. Throughout the twentieth cen- tury, hydroelectric production has), and their optimization by stochastic dynamic programming (SDP). The #12;rst discussion of reservoir management

  20. 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

    2005-04-27

    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.

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

    E-Print Network [OSTI]

    Yu, Janie

    2010-01-14

    between cognitions and intentions??????????... 62 Hypothesis tests??????????????????????.... 65 DISCUSSION??????????????????????????.. 71 Implications????????????????????????. 79 Limitations and future directions????????????????. 82...??????????????????????????????. 100 vii LIST OF FIGURES FIGURE Page 1 Theory of Planned Behavior ????????????????.. 23 2 Overall model of proposed relationships and associated hypotheses ?????????????????.. 35 3 Applicant faking (SR) x...

  2. The application of neural networks with artificial intelligence technique in the modeling of industrial processes

    SciTech Connect (OSTI)

    Saini, K. K.; Saini, Sanju [CDLM engg. College Panniwala Mota, Sirsa and Murthal, Sonipat, Haryana (India)

    2008-10-07

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  3. Model of Flux Trapping in Cooling Down Process

    E-Print Network [OSTI]

    Kubo, Takayuki

    2015-01-01

    The flux trapping that occurs in the process of cooling down of the superconducting cavity is studied. The critical fields $B_{c2}$ and $B_{c1}$ depend on a position when a material temperature is not uniform. In a region with $T\\simeq T_c$, $B_{c2}$ and $B_{c1}$ are strongly suppressed and can be smaller than the ambient magnetic field, $B_a$. A region with $B_{c2}\\le B_a$ is normal conducting, that with $B_{c1}\\le B_a B_a$ is in the Meissner state. As a material is cooled down, these three domains including the vortex state domain sweep and pass through the material. In this process, vortices contained in the vortex state domain are trapped by pinning centers distributing in the material. A number of trapped fluxes can be evaluated by using the analogy with the beam-target collision event, where beams and a target correspond to pinning centers and the vortex state domain, respectively. We find a number of trapped fluxes and thus the residual resistance are proportional to the ambient magnetic field and the...

  4. Snow process modeling in the North American Land Data Assimilation System (NLDAS)

    E-Print Network [OSTI]

    Robock, Alan

    Snow process modeling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent Justin Sheffield,1 Ming Pan,1 Eric F. Wood,1 Kenneth E. Mitchell,2) and consists of two parts: (1) assessment of land surface model simulations of snow cover extent and (2

  5. Modeling elastic and plastic deformations in nonequilibrium processing using phase field crystals K. R. Elder1

    E-Print Network [OSTI]

    Grant, Martin

    Modeling elastic and plastic deformations in nonequilibrium processing using phase field crystals K November 2004) A continuum field theory approach is presented for modeling elastic and plastic deformation the construction of a phase field model for the dynamics of crystal growth that includes elastic and plastic

  6. ISOTROPIC NOISE MODELLING FOR NEARFIELD ARRAY PROCESSING Thushara D. Abhayapala Rodney A. Kennedy

    E-Print Network [OSTI]

    Botea, Adi

    ISOTROPIC NOISE MODELLING FOR NEARFIELD ARRAY PROCESSING Thushara D. Abhayapala Rodney A. Kennedy spherically isotropic noise model is introduced. The methodology uses the spherical harmonics expansion field. The result is useful in nearfield application of sensor arrays. The pro- posed noise model can

  7. Mathematical Modelling of Glass Forming Processes J. A. W. M. Groot

    E-Print Network [OSTI]

    Eindhoven, Technische Universiteit

    #12;Mathematical Modelling of Glass Forming Processes J. A. W. M. Groot R. M. M. Mattheij K. Y. Laevsky January 29, 2009 Contents 1 Introduction 4 1.1 Glass Forming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 4 Blow Model 32 4.1 Mathematical Model

  8. Modeling and the Adaptive Solution of CVD Fiber-Coating Processes

    E-Print Network [OSTI]

    Adjerid, Slimane

    Modeling and the Adaptive Solution of CVD Fiber-Coating Processes S. Adjerid, J. E. Flaherty, J. B, New York 12180, USA Abstract We develop a mathematical model for the coating of ceramic bers, a convection-di usion system for the reacting precursor species, a ber coating model, and a ber heat conduction

  9. A hierarchical bottom-up, equation-based optimization design methodology

    E-Print Network [OSTI]

    Sanchez, William R

    2007-01-01

    We have implemented a segment of an RF transmitter signal chain in discrete components using bipolar transistors. We formulated both a broadband amplifier and mixer as mathematical programs (MP) and extracted Pareto-optimal ...

  10. 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

    2006-01-01

    public sector energy spending reached roughly US$10 billion and that figure has been rising as total built space

  11. Stress corrosion cracking of steel Stressed-Out Metals: Predicting their Response from the Bottom Up

    E-Print Network [OSTI]

    Simons, Jack

    Stress corrosion cracking of steel Stressed-Out Metals: Predicting their Response from the Bottom;Shocked Iron Ground state bcc undergoes a martensitic phase transformation to hcp at ~13 GPa

  12. Organizing and financing interstellar space projects - A bottom-up approach

    E-Print Network [OSTI]

    Ceyssens, Frederik; Wouters, Kristof; Ceyssens, Pieter-Jan; Wen, Lianggong

    2011-01-01

    The development and deployment of interstellar missions will without doubt require orders of magnitude more resources than needed for current or past megaprojects (Apollo, Iter, LHC,...). Question is how enough resources for such gigaprojects can be found. In this contribution different scenarios will be explored assuming limited, moderate economic growth throughout the next centuries, i.e. without human population and productivity continuing to grow exponentially, and without extreme events such as economic collapse or singularity. In such a world, which is not unlike the current situation, gigascale space projects face a combination of inhibiting factors: the enormous cost threshold, the need for risky and costly development of often quite application specific technology, the relatively little benefit with respect to the costs for the sponsors, the time span of at least a few generations and the absence of a sense of urgency. It will be argued that the best chance of getting an interstellar project started ...

  13. Bottom-up soft-lithographic fabrication of three-dimensional multilayer polymer integrated optical microdevices

    E-Print Network [OSTI]

    Huang, Yanyi

    is limited by the size of the devices. Stacking PLCs to make three-dimensional (3D) structures will effi- ciently increase the density of photonic circuits. Several polymer 3D integrated optical devices have been alternate fabrication methods to generate 3D multilayer structures.10,11 In this letter, we describe

  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

    2006-01-01

    energy-efficient products currently on the Ministry of Financefinance sectors should support resource conservation activities and comprehensive utilization, and adopt energy-Finance and the National Development and Reform Commission on the Issuance of “Implementation of Government Energy

  15. 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

  16. ORIGINAL ARTICLE Bottom-up influences of voice continuity in focusing selective

    E-Print Network [OSTI]

    Shinn-Cunningham, Barbara

    00426-014-0555-7) contains supplementary material, which is available to authorized users. S. Bressler Á Psychological Research DOI 10.1007/s00426-014-0555-7 #12;stream is attended is it segregated from a sound

  17. From atoms to cities : A bottom-up analysis of infrastructure materials and systems

    E-Print Network [OSTI]

    Abdolhosseini Qomi, Mohammad Javad

    2015-01-01

    Civil infrastructure is and continues to be the backbone of our society to meet our needs in housing, transportation, water and electricity supply, and so on. However, its functions are recently revisited in response to ...

  18. BUCS -A Bottom-Up Cache Structure for Networked Storage Servers Ming Zhang and Qing Yang

    E-Print Network [OSTI]

    Yang, Qing "Ken"

    interconnects such as PCI bus have not kept pace with these improvements. As a result, it has become the major of system interconnects by replacing PCI with PCI-X, PCI Express, or InfiniBand [1]. The Infini

  19. 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

    2006-01-01

    of a national energy-efficient purchasing program. Thesenational energy- efficiency endorsement labeling program. 5.a program to promote energy-efficient purchasing by national

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

    E-Print Network [OSTI]

    Schuckman, Hugh Erik

    2012-01-01

    the level of practical classroom management skills in theage-differentiated classroom management, both skill sets areplanning and varied classroom management techniques. But

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

    E-Print Network [OSTI]

    Schuckman, Hugh Erik

    2012-01-01

    to have the most basic training modules such as instructionswelcome. Having basic training modules pre- packaged wouldmodules were already completed, however, the Peace Corps training

  2. BottomUp Propositionalization Stefan Kramer 1 and Eibe Frank 2

    E-Print Network [OSTI]

    Frank, Eibe

    ­ gorithms. This transformation requires the construction of features that capture relational properties. An example of a fragment would be 'o­s­c', meaning ``an oxygen atom with a single bond to a sulfur atom

  3. 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

    2006-01-01

    Comision Nacional para el Ahorro del Energía, CONAE), thefund Fideicomiso para el Ahorro de Energía Eléctrica (FIDE)—

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

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

    Analysis Center Greg Smestad Sol Ideas Technology Development, Solar Energy Materials and Solar Cells Journal Hohyun Lee University of Santa Clara Alfred Hicks and Kendra Palmer...

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

    E-Print Network [OSTI]

    Schuckman, Hugh Erik

    2012-01-01

    and the Us Peace Corps." [Pamphlet] (1989). ———. "Looking atarchival resources such as pamphlets, reports, internalwild. They brought now pamphlets, brochures, movies, or any

  6. 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 Data Center Home Page on Delicious Rank EERE:Financing ToolInternationalReportOffice | DepartmentVery1, in:QuarterlyA SolarAA View fromsynthesis

  7. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin:Pontiac BiomassInformationSystems Inc

  8. Bottoms Up. [report on the Defense Department] (Journal Article) | SciTech

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing Bacteria (Technical Report) | SciTechReport)(TechnicalArticle) | SciTech

  9. 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 Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaics »TanklessResearchEnergy2Fall 2011 TheMarch

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

    E-Print Network [OSTI]

    Ambresh Shivaji

    2013-05-21

    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.

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

    SciTech Connect (OSTI)

    Germann, Timothy C.

    2014-07-08

    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.

  12. Reflood completion report: Volume 1. A phenomenological thermal-hydraulic model of hot rod bundles experiencing simultaneous bottom and top quenching and an optimization methodology for closure development

    SciTech Connect (OSTI)

    Nelson, R.A. Jr.; Pimentel, D.A.; Jolly-Woodruff, S.; Spore, J.

    1998-04-01

    In this report, a phenomenological model of simultaneous bottom-up and top-down quenching is developed and discussed. The model was implemented in the TRAC-PF1/MOD2 computer code. Two sets of closure relationships were compared within the study, the Absolute set and the Conditional set. The Absolute set of correlations is frequently viewed as the pure set because the correlations is frequently viewed as the pure set because the correlations utilize their original coefficients as suggested by the developer. The Conditional set is a modified set of correlations with changes to the correlation coefficient only. Results for these two sets indicate quite similar results. This report also summarizes initial results of an effort to investigate nonlinear optimization techniques applied to the closure model development. Results suggest that such techniques can provide advantages for future model development work, but that extensive expertise is required to utilize such techniques (i.e., the model developer must fully understand both the physics of the process being represented and the computational techniques being employed). The computer may then be used to improve the correlation of computational results with experiments.

  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

    2014-05-20

    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. Enhancing Requirements and Change Management through Process Modelling and Measurement1

    E-Print Network [OSTI]

    Valetto, Giuseppe "Peppo"

    Enhancing Requirements and Change Management through Process Modelling and Measurement1 Luigi of requirements and change management. Keywords: requirements management, change management, traceability Lavazza and Giuseppe Valetto CEFRIEL and Politecnico di Milano2 Abstract Effective management

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

    E-Print Network [OSTI]

    Miller, Bruno

    2004-01-01

    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

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

    SciTech Connect (OSTI)

    Tabares Velasco, P. C.

    2011-04-01

    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.'

  17. 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)

    2011-05-06

    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.

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

    E-Print Network [OSTI]

    Bieszczad, Jerry, 1971-

    2000-01-01

    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 ...

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

    E-Print Network [OSTI]

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

    2011-01-01

    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...

  20. Development of mathematical models and mathematical, computational framework for multi-media interaction processes

    E-Print Network [OSTI]

    Ma, Yongting

    2011-01-11

    This thesis presents development of mathematical models for multi-media interaction process using Eulerian description and associated computational infrastructure to obtain numerical solution of the initial value problems ...

  1. Moist processes and the quasi-hydrostatic approximation in a mesoscale numerical model 

    E-Print Network [OSTI]

    Kennedy, Charles Joseph

    1987-01-01

    MOIST PROCESSES AND THE QUASI-HYDROSTATIC APPROXIMATION IN A MESOSCALE NUMERICAL MODEL A Thesis by CHARLES JOSEPH KENNEDY Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree... of MASTER OF SCIENCE December 1987 Major Subject: Meteorology MOIST PROCESSES AND THE QUASI-HYDROSTATIC APPROXIMATION IN A MESOSCALE NUMERICAL MODEL A Thesis by CHARLES JOSEPH KENNEDY Approved as to style and content by: Dusan Djuric (Chair...

  2. The impact of global nuclear mass model uncertainties on $r$-process abundance predictions

    E-Print Network [OSTI]

    M. Mumpower; R. Surman; A. Aprahamian

    2014-11-14

    Rapid neutron capture or `$r$-process' nucleosynthesis may be responsible for half the production of heavy elements above iron on the periodic table. Masses are one of the most important nuclear physics ingredients that go into calculations of $r$-process nucleosynthesis as they enter into the calculations of reaction rates, decay rates, branching ratios and Q-values. We explore the impact of uncertainties in three nuclear mass models on $r$-process abundances by performing global monte carlo simulations. We show that root-mean-square (rms) errors of current mass models are large so that current $r$-process predictions are insufficient in predicting features found in solar residuals and in $r$-process enhanced metal poor stars. We conclude that the reduction of global rms errors below $100$ keV will allow for more robust $r$-process predictions.

  3. 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.

    2008-03-01

    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.

  4. 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 in wastewater processing plants usually follow two strategies. One is to upgrade the current sewage sludge treatment process and produce higher quality efflu- ent. The other is to modify or redesign the sludge

  5. World Congress on Industrial Process Tomography, Aizu, Japan Modelling and predicting flow regimes using wavelet

    E-Print Network [OSTI]

    Barber, Stuart

    4 th World Congress on Industrial Process Tomography, Aizu, Japan Modelling and predicting flow of Statistics, University of Leeds, Leeds, LS2 9JT, UK, robert@maths.leeds.ac.uk ABSTRACT The aim of industrial without intruding into the industrial process, but produce highly correlated and noisy data, and hence

  6. 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

  7. Advanced 3-Dimensional CAD Modeling of the Gear Hobbing Process V. Dimitriou 1

    E-Print Network [OSTI]

    Aristomenis, Antoniadis

    Advanced 3-Dimensional CAD Modeling of the Gear Hobbing Process V. Dimitriou 1 , A. Antoniadis 1* 1 to the realistic and accurate simulation of the gear hobbing process, an effec- tive and factual approximation is directly applied in one gear gap. Each generating position formulates a three dimensional surface path

  8. 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

  9. Long-Fiber Thermoplastic Injection Molded Composites: from Process Modeling to Property Prediction

    SciTech Connect (OSTI)

    Nguyen, Ba Nghiep; Holbery, Jim D.; Johnson, Kenneth I.; Smith, Mark T.

    2005-09-01

    Recently, long-fiber filled thermoplastics have become a great interest to the automotive industry since these materials offer much better property performance (e.g. elastic moduli, strength, durability…) than their short-fiber analogues, and they can be processed through injection molding with some specific tool design. However, in order that long-fiber thermoplastic injection molded composites can be used efficiently for automotive applications, there is a tremendous need to develop process and constitutive models as well as computational tools to predict the microstructure of the as-formed composite, and its resulting properties and macroscopic responses from processing to the final product. The microstructure and properties of such a composite are governed by i) flow-induced fiber orientation, ii) fiber breakage during injection molding, and iii) processing conditions (e,g. pressure, mold and melt temperatures, mold geometries, injection speed, etc.). This paper highlights our efforts to address these challenging issues. The work is an integrated part of a research program supported by the US Department of Energy, which includes • The development of process models for long-fiber filled thermoplastics, • The construction of an interface between process modeling and property prediction as well as the development of new constitutive models to perform linear and nonlinear structural analyses, • Experimental characterization of model parameters and verification of the model predictions.

  10. Physics Case for the ILC Project: Perspective from Beyond the Standard Model

    E-Print Network [OSTI]

    Howard Baer; Mikael Berggren; Jenny List; Mihoko M. Nojiri; Maxim Perelstein; Aaron Pierce; Werner Porod; Tomohiko Tanabe

    2013-07-19

    The International Linear Collider (ILC) has recently proven its technical maturity with the publication of a Technical Design Report, and there is a strong interest in Japan to host such a machine. We summarize key aspects of the Beyond the Standard Model physics case for the ILC in this contribution to the US High Energy Physics strategy process. On top of the strong guaranteed physics case in the detailed exploration of the recently discovered Higgs boson, the top quark and electroweak precision measurements, the ILC will offer unique opportunities which are complementary to the LHC program of the next decade. Many of these opportunities have connections to the Cosmic and Intensity Frontiers, which we comment on in detail. We illustrate the general picture with examples of how our world could turn out to be and what the ILC would contribute in these cases, with an emphasis on value-added beyond the LHC. These comprise examples from Supersymmetry including light Higgsinos, a comprehensive bottom-up coverage of NLSP-LSP combinations for slepton, squark, chargino and neutralino NLSP, a stau-coannihilation dark matter scenario and bilinear R-parity violation as explanation for neutrino masses and mixing, as well as generic WIMP searches and Little Higgs models as non-SUSY examples.

  11. 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

    2009-10-15

    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.

  12. A regression model with a hidden logistic process for feature extraction from time series

    E-Print Network [OSTI]

    Chamroukhi, Faicel

    A regression model with a hidden logistic process for feature extraction from time series Faicel from time series is proposed in this paper. This approach consists of a specific regression model Reweighted Least-Squares (IRLS) algorithm. A piecewise regression algorithm and its iterative variant have

  13. Process-Based Coastal Erosion Modeling for Drew Point, North Slope, Alaska

    E-Print Network [OSTI]

    Zhang, Jinlun

    Process-Based Coastal Erosion Modeling for Drew Point, North Slope, Alaska Thomas M. Ravens1, Beaufort Sea, Alaska. This coastal setting has experienced a dramatic increase in erosion since the early, coastal erosion/shoreline change model has been developed for a small coastal segment near Drew Point

  14. A hidden process regression model for functional data description. Application to curve discrimination

    E-Print Network [OSTI]

    Chamroukhi, Faicel

    in this paper. It consists of a regression model with a discrete hidden logistic process which is adapted generative model, a curve discrimination rule is derived using the maximum a posteriori rule. The proposed and classification. & 2010 Elsevier B.V. All rights reserved. 1. Introduction Curve valued or functional data sets

  15. Aalborg Universitet Modeling of large-scale oxy-fuel combustion processes

    E-Print Network [OSTI]

    Yin, Chungen

    implementation into CFD simulations of various oxy- fuel combustion processes and experimental validation. Result-fuel flames (Yin et al., 2010). · Various combustion mechanisms implemented in CFD of oxy-fuel combustion of gray gases model applicable to CFD modeling of oxy-fuel combustion: Derivation, validation

  16. MODELING OF THE FREEZING PROCESS FOR FISH IN VERTICAL PLATE FREEZERS

    E-Print Network [OSTI]

    Gravdahl, Jan Tommy

    MODELING OF THE FREEZING PROCESS FOR FISH IN VERTICAL PLATE FREEZERS Christoph Backi, Jan Tommy at the freezing system on board. Aims of this study: Find a model to estimate the temperature distribution in a fish block during freezing in vertical platefreezers. For a known temperature distribution the energy

  17. 2 CONCEPT OF MODEL BASED TAMPERING FOR 3 IMPROVING PROCESS PERFORMANCE

    E-Print Network [OSTI]

    Bukkapatnam, Satish T.S.

    1 2 CONCEPT OF MODEL BASED TAMPERING FOR 3 IMPROVING PROCESS PERFORMANCE: 4 AN ILLUSTRATIVE 14 This paper presents the concept of a methodology called Model Based 15 Tampering (MBT based tampering (MBT), which is conceptualized in this paper, will 38 become necessary in order to meet

  18. 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

  19. 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 control the system during nominal operation. Model reduction is obtained at the heat-exchanger level Paolino Tona and Antonio Sciarretta IFP Energies Nouvelles Control, Signal and System Department Lyon site

  20. SIGNAL PROCESSING MAGAZINE, VOL. XX, NO. YY, ZZZZ 1 Sub-word modeling

    E-Print Network [OSTI]

    Livescu, Karen

    SIGNAL PROCESSING MAGAZINE, VOL. XX, NO. YY, ZZZZ 1 Sub-word modeling for automatic speech Abstract--Modern automatic speech recognition systems handle large vocabularies of words, making it infeasible to collect enough repetitions of each word to train individual word models. Instead, large

  1. PROCESS MODELING IN RESIN TRANSFER MOLDING AS A METHOD TO ENHANCE PRODUCT QUALITY

    E-Print Network [OSTI]

    New York at Stoney Brook, State University of

    PROCESS MODELING IN RESIN TRANSFER MOLDING AS A METHOD TO ENHANCE PRODUCT QUALITY W.K. Chui, 1 J Transfer Molding (RTM) has drawn interest in recent years as an attractive technique for the manufacture. resin transfer molding (RTM), composite materials, mathematical modeling, porous media flow AMS subject

  2. Computational modeling of structure of metal matrix composite in centrifugal casting process

    SciTech Connect (OSTI)

    Zagorski, Roman [Department of Electrotechnology, Faculty of Materials Science and Metallurgy, Silesian University of Technology, ul. Krasinskiego 8, 40-019, Katowice (Poland)

    2007-04-07

    The structure of alumina matrix composite reinforced with crystalline particles obtained during centrifugal casting process are studied. Several parameters of cast process like pouring temperature, temperature, rotating speed and size of casting mould which influent on structure of composite are examined. Segregation of crystalline particles depended on other factors such as: the gradient of density of the liquid matrix and reinforcement, thermal processes connected with solidifying of the cast, processes leading to changes in physical and structural properties of liquid composite are also investigated. All simulation are carried out by CFD program Fluent. Numerical simulations are performed using the FLUENT two-phase free surface (air and matrix) unsteady flow model (volume of fluid model - VOF) and discrete phase model (DPM)

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

    E-Print Network [OSTI]

    Theodore Liolios

    2003-05-09

    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.

  4. Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes 

    E-Print Network [OSTI]

    Zhu, Yu

    2011-08-08

    of Department, Michael Pishko May 2011 Major Subject: Chemical Engineering iii ABSTRACT Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes. (May 2011) Yu Zhu, B.S., Zhejiang University; M.S., Zhejiang... . . . . . . . . . . . . . . . . . . . . . . . . . . 1 A. Nonlinear Optimization with Rigorous Large Scale Models 1 B. Chemical Applications of Nonlinear Optimization . . . . . 2 1. Design under Uncertainty . . . . . . . . . . . . . . . . 3 2. Optimal Operations with Steady State Models . . . . 4...

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

    SciTech Connect (OSTI)

    Tsang, Yvonne; Birkholzer, Jens; Mukhopadhyay, Sumit

    2009-03-15

    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.

  6. Process-based modeling of the aeloian environment at the dune scale

    SciTech Connect (OSTI)

    Stam, J.M.T. (IGG-TNO, Delft (Netherlands))

    1993-09-01

    Process-based models are quantitative models that simulate the physical process of sedimentation with the objective of reconstructing the spatial distribution, stratification, and properties of the subsurface. In this study, a two-dimensional, process-based model of the aeolian environment, at the dune-interdune scale, has been developed. Sedimentation is governed by the variation of wind velocity over the topography, which is calculated analytically. Velocity calculations are coupled to a sediment transport equation, to determine where erosion and deposition occur. The resulting change in topography determines a new velocity field, which is then calculated. Features that the model simulates include ripple formation and dune migration, as well as the resulting internal sedimentary structures. Process-based models can be used as tool to help interpret structures in ancient formations. This model has been applied specifically to reconstruct dune-interdune sequences observed in cores from the Rotliegendes, localized in the southern Permian basin (North Sea). The interdune strata are characterized by a low permeability. A flow simulation has been done on the aeolian section generated by the model, showing the effect of these heterogeneities on fluid flow.

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

    SciTech Connect (OSTI)

    Nelson, P. A. Gallagher, K. G. Bloom, I. Dees, D. W.

    2011-10-20

    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.

  8. 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

    2014-08-14

    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.

  9. Multidiscipline Modeling in Materials and Structures Multi-physics modeling and simulations of reactive melt infiltration process used

    E-Print Network [OSTI]

    Grujicic, Mica

    of reactive melt infiltration process used in fabrication of ceramic-matrix composites (CMCs) Mica Grujicic in fabrication of ceramic-matrix composites (CMCs)", Multidiscipline Modeling in Materials and Structures, Vol used in fabrication of ceramic-matrix composites (CMCs) Mica Grujicic, Rohan Galgalikar, S. Ramaswami

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

    E-Print Network [OSTI]

    Kononovicius, Aleksejus; Daniunas, Valentas

    2012-01-01

    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.

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

    SciTech Connect (OSTI)

    Thorsness, C. B., LLNL

    1997-01-21

    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.

  12. Formalized Quantum Stochastic Processes and Hidden Quantum Models with Applications to Neuron Ion Channel Kinetics

    E-Print Network [OSTI]

    Alan Paris; George Atia; Azadeh Vosoughi; Stephen Berman

    2015-10-31

    A new class of formal latent-variable stochastic processes called hidden quantum models (HQM's) is defined in order to clarify the theoretical foundations of ion channel signal processing. HQM's are based on quantum stochastic processes which formalize time-dependent observation. They allow the calculation of autocovariance functions which are essential for frequency-domain signal processing. HQM's based on a particular type of observation protocol called independent activated measurements are shown to to be distributionally equivalent to hidden Markov models yet without an underlying physical Markov process. Since the formal Markov processes are non-physical, the theory of activated measurement allows merging energy-based Eyring rate theories of ion channel behavior with the more common phenomenological Markov kinetic schemes to form energy-modulated quantum channels. Using the simplest quantum channel model consistent with neuronal membrane voltage-clamp experiments, activation eigenenergies are calculated for the Hodgkin-Huxley K+ and Na+ ion channels. It is also shown that maximizing entropy under constrained activation energy yields noise spectral densities approximating $S(f) \\sim 1/f^\\alpha$, thus offering a biophysical explanation for the ubiquitous $1/f$-type in neurological signals.

  13. Modeling Coupled THM Processes and Brine Migration in Salt at High Temperatures

    SciTech Connect (OSTI)

    Rutqvist, Jonny; Blanco-Martin, Laura; Molins, Sergi; Trebotich, David; Birkholzer, Jens

    2015-09-01

    In this report, we present FY2015 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. This is a combined milestone report related to milestone Salt R&D Milestone “Modeling Coupled THM Processes and Brine Migration in Salt at High Temperatures” (M3FT-15LB0818012) and the Salt Field Testing Milestone (M3FT-15LB0819022) to support the overall objectives of the salt field test planning.

  14. A Process Model for the Production of Hydrogen Using High Temperature Electrolysis

    SciTech Connect (OSTI)

    M. G. Mc Kellar; E. A. Harvego; M. Richards; A. Shenoy

    2006-07-01

    High temperature electrolysis (HTE) involves the splitting of stream into hydrogen and oxygen at high temperatures. The primary advantage of HTE over conventional low temperature electrolysis is that considerably higher hydrogen production efficiencies can be achieved. Performing the electrolysis process at high temperatures results in more favorable thermodynamics for electrolysis, more efficient production of electricity, and allows direct use of process heat to generate steam. This paper presents the results of process analyses performed to evaluate the hydrogen production efficiencies of an HTE plant coupled to a 600 MWt Modular Helium Reactor (MHR) that supplies both the electricity and process heat needed to drive the process. The MHR operates with a coolant outlet temperature of 950 C. Approximately 87% of the high-temperature heat is used to generate electricity at high efficiency using a direct, Brayton-cycle power conversion system. The remaining high-temperature heat is used to generate a superheated steam / hydrogen mixture that is supplied to the electrolyzers. The analyses were performed using the HYSYS process modeling software. The model used to perform the analyses consisted of three loops; a primary high temperature helium loop, a secondary helium loop and the HTE process loop. The detailed model included realistic representations of all major components in the system, including pumps, compressors, heat exchange equipment, and the electrolysis stack. The design of the hydrogen production process loop also included a steam-sweep gas system to remove oxygen from the electrolysis stack so that it can be recovered and used for other applications. Results of the process analyses showed that hydrogen production efficiencies in the range of 45% to 50% are achievable with this system.

  15. 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

    2012-01-01

    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?

  16. A site scale model for modeling unsaturated zone processes at Yucca Mountain, Nevada

    E-Print Network [OSTI]

    1997-01-01

    Unsaturated Zone Model of Yucca Mountain, Nevada, for theZone Trocesses at yucca Mountain, N G. S. Bodvarsson, Y. S.unsaturated zone at Yucca Mountain, Nevada, as a permanent

  17. Economic Model Predictive Control of Nonlinear Process Systems Using Empirical Models

    E-Print Network [OSTI]

    ALANQAR, ANAS WAEL

    2015-01-01

    optimization and feedback control since it is a predictive control scheme that is formulated with an objective function representing the processoptimization and feedback control since it is a predictive control scheme that is formulated with an objective function representing the process/

  18. 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

    2014-03-01

    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.

  19. 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

    2013-01-01

    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.

  20. A Process Modelling Framework for Formal Validation of Panama Canal System Operations

    E-Print Network [OSTI]

    Austin, Mark

    1 A Process Modelling Framework for Formal Validation of Panama Canal System Operations John) and will even provide for continued operations while sections of the canal system are undergoing maintenance. Design for automation in large-scale system operations is challenging because in addition to making sure

  1. Modeling and Optimization of Next Generation Feedstock Development for Chemical Process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1929, 2011 #12;Motivation Energy Consumption by Manufacturing Industry 20061Industry, 20061 Primary for CPI · Utilize sun-light energy as carbon- based molecules · Renewable · Reduced CO2 emissions, USA PanAmerican Advanced Studies Institute Process Modeling and Optimization for Energy

  2. A Tunnel Freezing Process with Adaptive Control A Stochastic Modeling Approach

    E-Print Network [OSTI]

    Gautam, Natarajan

    Statement and Research Objective Cryogenic freezing tunnels can be operated in a variety of modes. The needA Tunnel Freezing Process with Adaptive Control ­ A Stochastic Modeling Approach S. Ramakrishnan N University Park, PA 16802, U.S.A. Abstract The estimation of freezing times using various analytical

  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. Linear Friction Welding Process Model for Carpenter Custom 465 Precipitation-Hardened Martensitic

    E-Print Network [OSTI]

    Grujicic, Mica

    for Carpenter Custom 465 precipitation-hardened martensitic stainless steel to develop a linear friction weldingLinear Friction Welding Process Model for Carpenter Custom 465 Precipitation-Hardened Martensitic Stainless Steel M. Grujicic, R. Yavari, J.S. Snipes, S. Ramaswami, C.-F. Yen, and B.A. Cheeseman (Submitted

  5. Uncertainty Analysis of Simulated Hydrological Processes With Respect to Prescribed Model Parameters

    E-Print Network [OSTI]

    Moelders, Nicole

    models. The processes that describe those interactions are heat, water and matter exchange. The water exchange is represented by latent heat fluxes; the heat exchange is associated with the sensible heat fluxes, and matter exchange is given through carbon transport. Different vegetation types will affect

  6. Journal of Materials Processing Technology 146 (2004) 213220 A simulation model of gear skiving

    E-Print Network [OSTI]

    Aristomenis, Antoniadis

    2004-01-01

    Journal of Materials Processing Technology 146 (2004) 213­220 A simulation model of gear skiving A are doubtlessly premium well designed and properly fabricated gears. The desired gear quality is performed. One of the most adopted methods in gear finishing is a variation of hobbing, the so-called gear

  7. Change Management in Enterprise IT Systems: Process Modeling and Capacity-optimal Scheduling

    E-Print Network [OSTI]

    Sarkar, Saswati

    Change Management in Enterprise IT Systems: Process Modeling and Capacity-optimal Scheduling of the optimal fluid scheduling policy, which is well suited for application to a real change management system management ­ or handling of problem diagnosis and root cause analysis, and (ii) Change management ­ or timely

  8. 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, wireless communication is responsible for the majority of sen- sor node energy use, so data compression to the need to conserve deployment costs, including energy provisioning. These effects include data

  9. 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

  10. 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

  11. 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, and common reference model assessment standards utilize external audits (CMMI [3], ISO 15504 [4], and ISO

  12. 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

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

    E-Print Network [OSTI]

    Yu, Qian

    Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process Abstract: The study investigates water quality pollution impacts on urbanization by analyzing temporal the greatest contributors of surface water quality pollution from 1996 to 2003. High values existed

  14. MCWASP, Modeling of Casting, Welding and Advanced Solidification Processes XI TMS (The Minerals, Metals & Materials Society),

    E-Print Network [OSTI]

    Zabaras, Nicholas J.

    at the bottom of the casting due to shrinkage driven fluid flow leads to a non-uniform solute distributionMCWASP, Modeling of Casting, Welding and Advanced Solidification Processes XI TMS (The Minerals, Aluminum alloys, Cast surfaces, Mold topography, Inverse segregation, Imperfect contact, Air-gaps, Solid

  15. A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

    E-Print Network [OSTI]

    Kallsen, Jan

    A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

  16. Second-Order Signature: A Tool for Specifying Data Models, Query Processing, and Optimization

    E-Print Network [OSTI]

    Güting, Ralf Hartmut

    -order signature (and algebra), a system of two coupled many-sorted signatures, where the top-level signature the types defined as terms of the top level. Hence the top level can be used to define a data or representation model and the bottom level to describe a query algebra or a query processing algebra. We show

  17. Generalized Poland-Scheraga denaturation model and two-dimensional renewal processes

    E-Print Network [OSTI]

    Giambattista Giacomin; Maha Khatib

    2015-10-27

    The Poland-Scheraga model describes the denaturation transition of two complementary - in particular, equally long - strands of DNA, and it has enjoyed a remarkable success both for quantitative modeling purposes and at a more theoretical level. The solvable character of the homogeneous version of the model is one of features to which its success is due. In the bio-physical literature a generalization of the model, allowing different length and non complementarity of the strands, has been considered and the solvable character extends to this substantial generalization. We present a mathematical analysis of the homogeneous generalized Poland-Scheraga model. Our approach is based on the fact that such a model is a homogeneous pinning model based on a bivariate renewal process, much like the basic Poland-Scheraga model is a pinning model based on a univariate, i.e. standard, renewal. We present a complete analysis of the free energy singularities, which include the localization-delocalization critical point and (in general) other critical points that have been only partially captured in the physical literature. We obtain also precise estimates on the path properties of the model.

  18. Glass-like dynamical behavior in hierarchical models submitted to continuous cooling and heating processes

    E-Print Network [OSTI]

    A. Prados; J. J. Brey

    2001-07-02

    The dynamical behavior of a kind of models with hierarchically constrained dynamics is investigated. The models exhibit many properties resembling real structural glasses. In particular, we focus on the study of time-dependent temperature processes. In cooling processes, a phenomenon analogous to the laboratory glass transition appears. The residual properties are analytically evaluated, and the concept of fictive temperature is discussed on a physical base. The evolution of the system in heating processes is governed by the existence of a normal solution of the evolution equations, which is approached by all the other solutions. This trend of the system is directly related to the glassy hysteresis effects shown by these systems. The existence of the normal solution is not restricted to the linear regime around equilibrium, but it is defined for any arbitrary, far from equilibrium, situation.

  19. Process Options Description for Steam Reforming Flowsheet Model of INEEL Tank Farm Waste

    SciTech Connect (OSTI)

    Taylor, D.D.; Barnes, C.M.; Nichols, T.T.

    2002-05-21

    Technical information is provided herein that is required for development of a steady-state process simulation of a baseline steam reforming treatment train for Tank Farm waste at the Idaho National Engineering and Environmental Laboratory (INEEL). This document supercedes INEEL/EXT-2001-173, produced in FY2001 to support simulation of the direct vitrification treatment train which was the previous process baseline. A process block flow diagram for steam reforming is provided, together with a list of unit operations which constitute the process. A detailed description of each unit operation is given which includes its purpose, principal phenomena present, expected pressure and temperature ranges, key chemical species in the inlet steam, and the proposed manner in which the unit operation is to be modeled in the steady state process simulation. Models for the unit operations may be mechanistic (based on first principles), empirical (based solely on pilot test data without extrapolation) , or by correlations (based on extrapolative or statistical schemes applied to pilot test data). Composition data for the expected process feed streams is provided.

  20. 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

  1. geological model by any method requires much analysis and redefinition and is not a fast or simple process.

    E-Print Network [OSTI]

    geological model by any method requires much analysis and redefinition and is not a fast or simple process. The process of building a geological model is an iterative one. First, the geoscientist builds required to construct a three­ dimensional model of geology. There are many computational methods

  2. A Study of Cloud Processing of Organic Aerosols Using Models and CHAPS Data

    SciTech Connect (OSTI)

    Ervens, Barbara

    2012-01-17

    The main theme of our work has been the identification of parameters that mostly affect the formation and modification of aerosol particles and their interaction with water vapor. Our detailed process model studies led to simplifications/parameterizations of these effects that bridge detailed aerosol information from laboratory and field studies and the need for computationally efficient expressions in complex atmospheric models. One focus of our studies has been organic aerosol mass that is formed in the atmosphere by physical and/or chemical processes (secondary organic aerosol, SOA) and represents a large fraction of atmospheric particulate matter. Most current models only describe SOA formation by condensation of low volatility (or semivolatile) gas phase products and neglect processes in the aqueous phase of particles or cloud droplets that differently affect aerosol size and vertical distribution and chemical composition (hygroscopicity). We developed and applied models of aqueous phase SOA formation in cloud droplets and aerosol particles (aqSOA). Placing our model results into the context of laboratory, model and field studies suggests a potentially significant contribution of aqSOA to the global organic mass loading. The second focus of our work has been the analysis of ambient data of particles that might act as cloud condensation nuclei (CCN) at different locations and emission scenarios. Our model studies showed that the description of particle chemical composition and mixing state can often be greatly simplified, in particular in aged aerosol. While over the past years many CCN studies have been successful performed by using such simplified composition/mixing state assumptions, much more uncertainty exists in aerosol-cloud interactions in cold clouds (ice or mixed-phase). Therefore we extended our parcel model that describes warm cloud formation by ice microphysics and explored microphysical parameters that determine the phase state and lifetime of Arctic mixed-phase clouds.

  3. A cyclic time-dependent Markov process to model daily patterns in wind turbine power production

    E-Print Network [OSTI]

    Scholz, Teresa; Estanqueiro, Ana

    2013-01-01

    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...

  4. Modeling of End-Use Energy Profile: An Appliance-Data-Driven Stochastic Approach

    E-Print Network [OSTI]

    Kang, Zhaoyi; Jin, Ming; Spanos, Costas J

    2014-01-01

    Demand side management: Demand response, intelligent energydesigning building demand-response system [5]. The Bottom-up

  5. New process modeling [sic], design, and control strategies for energy efficiency, high product quality, and improved productivity in the process industries. Final project report

    SciTech Connect (OSTI)

    Ray, W. Harmon

    2002-06-05

    This project was concerned with the development of process design and control strategies for improving energy efficiency, product quality, and productivity in the process industries. In particular, (i) the resilient design and control of chemical reactors, and (ii) the operation of complex processing systems, was investigated. Specific topics studied included new process modeling procedures, nonlinear controller designs, and control strategies for multiunit integrated processes. Both fundamental and immediately applicable results were obtained. The new design and operation results from this project were incorporated into computer-aided design software and disseminated to industry. The principles and design procedures have found their way into industrial practice.

  6. Evaluation of Features, Events, and Processes (FEP) for the Biosphere Model

    SciTech Connect (OSTI)

    M. Wasiolek; P. Rogers

    2004-10-27

    The purpose of this analysis report is to evaluate and document the inclusion or exclusion of biosphere features, events, and processes (FEPs) with respect to modeling used to support the total system performance assessment (TSPA) for the license application (LA). A screening decision, either ''Included'' or ''Excluded'', is given for each FEP along with the corresponding technical basis for the excluded FEPs and the descriptions of how the included FEPs were incorporated in the biosphere model. This information is required by the U.S. Nuclear Regulatory Commission (NRC) regulations at 10 CFR 63.114 (d, e, and f) [DIRS 156605]. The FEPs addressed in this report concern characteristics of the reference biosphere, the receptor, and the environmental transport and receptor exposure pathways for the groundwater and volcanic ash exposure scenarios considered in biosphere modeling. This revision provides the summary of the implementation of included FEPs in TSPA-LA, (i.e., how the FEP is included); for excluded FEPs, this analysis provides the technical basis for exclusion from TSPA-LA (i.e., why the FEP is excluded). This report is one of the 10 documents constituting the biosphere model documentation suite. A graphical representation of the documentation hierarchy for the biosphere model is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling. The ''Biosphere Model Report'' describes in detail the biosphere conceptual model and mathematical model. The input parameter reports shown to the right of the ''Biosphere Model Report'' contain detailed descriptions of the model input parameters and their development. Outputs from these six reports are used in the ''Nominal Performance Biosphere Dose Conversion Factor Analysis and Disruptive Event Biosphere Dose Conversion Factor Analysis'' to generate the biosphere dose conversion factors (BDCFs), which are input parameters for the TSPA-LA model. The ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis'' analyzes the output of these two BDCF reports.

  7. Point processes

    E-Print Network [OSTI]

    Frederic Schoenberg

    2011-01-01

    f(t) = 0 for t Renewal models embody the notion thatmodels are surveyed including Poisson processes, renewalrenewal process originating at the corresponding parent. Self-correcting models

  8. A dynamical and kinematical model of the Galactic stellar halo and possible implications for galaxy formation scenarios

    E-Print Network [OSTI]

    J. Sommer-Larsen; T. C. Beers; C. Flynn; R. Wilhelm; P. R. Christensen

    1996-10-23

    We re-analyse the kinematics of the system of blue horizontal branch field (BHBF) stars in the Galactic halo (in particular the outer halo), fitting the kinematics with the model of radial and tangential velocity dispersions in the halo as a function of galactocentric distance r proposed by Sommer-Larsen, Flynn & Christensen (1994), using a much larger sample (almost 700) of BHBF stars. The basic result is that the character of the stellar halo velocity ellipsoid changes markedly from radial anisotropy at the sun to tangential anisotropy in the outer parts of the Galactic halo (r greater than approx 20 kpc). Specifically, the radial component of the stellar halo's velocity ellipsoid decreases fairly rapidly beyond the solar circle, from approx 140 +/- 10 km/s at the sun, to an asymptotic value of 89 +/- 19 km/s at large r. The rapid decrease in the radial velocity dispersion is matched by an increase in the tangential velocity dispersion, with increasing r. Our results may indicate that the Galaxy formed hierarchically (partly or fully) through merging of smaller subsystems - the 'bottom-up' galaxy formation scenario, which for quite a while has been favoured by most theorists and recently also has been given some observational credibility by HST observations of a potential group of small galaxies, at high redshift, possibly in the process of merging to a larger galaxy (Pascarelle et al 1996).

  9. Statistical Global Model of beta- Half-lives and r-Process Nucleosynthesis

    E-Print Network [OSTI]

    N. J. Costiris; E. Mavrommatis; K. A. Gernoth; J. W. Clark

    2013-09-02

    Purpose: Our objective is to apply an improved statistical global model of beta^- decay half-life systematics [1] generated by machine-learning techniques to the prediction of beta half-lives relevant to r-process nuclei. The primary aim of this application is to complement existing r-process-clock and matter-flow studies, thereby providing additional theoretical support for the planning of future activities of the world's network of rare-isotope laboratories. Results: Results are presented for nuclides situated on the r-ladders at N=50, 82, and 126 where abundances peak, as well as for nuclides that affect abundances between peaks or may be relevant to r-processes under different astrophysical scenarios. The half-lives of some of the targeted neutron-rich nuclides have either been recently measured or will be accessible at rare-isotope laboratories in the relatively near future. The results of our large-scale data-driven half-life calculations (generated by a "theory-thin" global statistical model) are compared to available experimental data, including recent measurements on very neutron-rich nuclei along an r-process path far from the valley of $\\beta$ stability. Comparison is also made with corresponding results from traditional global models derived by semi-phenomenological "theory-thick" approaches.

  10. Interoperability Building Information Modeling and acoustical analysis software - A demonstration of a performing arts hall design process

    E-Print Network [OSTI]

    Kim, Sunyoung; Coffeen, Robert C.; Sanguinetti, Paola

    2013-06-02

    By sharing and managing the database for a building model, Building Information Modeling (BIM) facilitates the design process at less cost. Some of BIM software has capabilities for acoustical analysis, but it is limited to noise level demonstration...

  11. 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.

    2012-02-23

    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.

  12. Elementary model of severe plastic deformation by KoBo process

    SciTech Connect (OSTI)

    Gusak, A.; Storozhuk, N.; Danielewski, M. Korbel, A.; Bochniak, M.

    2014-01-21

    Self-consistent model of generation, interaction, and annihilation of point defects in the gradient of oscillating stresses is presented. This model describes the recently suggested method of severe plastic deformation by combination of pressure and oscillating rotations of the die along the billet axis (KoBo process). Model provides the existence of distinct zone of reduced viscosity with sharply increased concentration of point defects. This zone provides the high extrusion velocity. Presented model confirms that the Severe Plastic Deformation (SPD) in KoBo may be treated as non-equilibrium phase transition of abrupt drop of viscosity in rather well defined spatial zone. In this very zone, an intensive lateral rotational movement proceeds together with generation of point defects which in self-organized manner make rotation possible by the decrease of viscosity. The special properties of material under KoBo version of SPD can be described without using the concepts of nonequilibrium grain boundaries, ballistic jumps and amorphization. The model can be extended to include different SPD processes.

  13. A generalized multi-dimensional mathematical model for charging and discharging processes in a supercapacitor

    SciTech Connect (OSTI)

    Allu, Srikanth; Velamur Asokan, Badri; Shelton, William A; Philip, Bobby; Pannala, Sreekanth

    2014-01-01

    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

  14. A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring

    SciTech Connect (OSTI)

    Rodgers, A; Harris, D; Pasyanos, M

    2007-03-14

    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.

  15. 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

    2001-02-01

    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.

  16. 210 IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 8, AUGUST 1999 Noise Modeling for Nearfield Array Optimization

    E-Print Network [OSTI]

    Abhayapala, Thushara D.

    210 IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 8, AUGUST 1999 Noise Modeling for Nearfield Array spherically isotropic noise model is introduced. The proposed noise model can be utilized effectively to apply. A simple array gain optimization is used to demonstrate the use of the new noise model. Index Terms

  17. Effects of non-linear rheology on the electrospinning process: a model study

    E-Print Network [OSTI]

    Giuseppe Pontrelli; Daniele Gentili; Ivan Coluzza; Dario Pisignano; Sauro Succi

    2014-09-12

    We develop an analytical bead-spring model to investigate the role of non-linear rheology on the dynamics of electrified jets in the early stage of the electrospinning process. Qualitative arguments, parameter studies as well as numerical simulations, show that the elongation of the charged jet filament is significantly reduced in the presence of a non-zero yield stress. This may have beneficial implications for the optimal design of future electrospinning experiments.

  18. Thermonuclear Processes for Three Body System in the Potential Cluster Model

    E-Print Network [OSTI]

    Dubovichenko, S B

    2015-01-01

    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.

  19. Thermonuclear Processes for Three Body System in the Potential Cluster Model

    E-Print Network [OSTI]

    S. B. Dubovichenko; A. V. Dzhazairov-Kakhramanov

    2015-04-19

    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.

  20. Modeling the electrical resistivity of deformation processed metal-metal composites

    SciTech Connect (OSTI)

    Tian, Liang; Anderson, Iver; Riedemann, Trevor; Russell, Alan

    2014-09-01

    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.

  1. HYDRODYNAMIC THERMAL MODELING OF 9-CELL ILC CAVITY ELECTROPOLISHING AND IMPLICATIONS FOR IMPROVING THE EP PROCESS

    SciTech Connect (OSTI)

    Charles Reece; John Mammosser; Jun Ortega

    2008-02-12

    Multi-cell niobium cavities often obtain the highest performance levels after having been subjected to an electropolishing (EP) process. The horizontal EP process first developed at KEK/Nomura Plating for TRISTAN[1] cavities is being applied to TESLA-style cavities and other structures for the XFEL and ILC R&D. Jefferson Lab is presently carrying this activity in the US. Because the local electropolishing current density is highly temperature dependent, we have created using CFDesign™ a full-scale hydrodynamic model which simulates the various thermal conditions present during 9-cell cavity electropolishing. The results of these simulations are compared with exterior surface temperature data gathered during ILC cavity EP at JLab. Having benchmarked the simulation, we explore the affect of altered boundary conditions in order to evaluate potentially beneficial modifications to the current standard process.

  2. Shearer's point process and the hard-sphere model in one dimension

    E-Print Network [OSTI]

    Christoph Hofer-Temmel

    2015-04-10

    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.

  3. Staff Senate minutes: September 18, 2014 Noon 1:00pm, VBI Conference Center

    E-Print Network [OSTI]

    Buehrer, R. Michael

    governance processes, both bottom-up processes for proposing change and top-down processes from the BOV

  4. NASA's new modeling framework for integrating cloud processes explicitly within each grid column of a general circulation model can improve realism over the conventional model that

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    NASA's new modeling framework for integrating cloud processes explicitly within each grid column, AND SIMPSON--Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland; CHERN--Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, and Goddard Earth Sciences and Technology Center

  5. Quantum states for quantum processes: A toy model for ammonia inversion spectra

    SciTech Connect (OSTI)

    Arteca, Gustavo A. [Departement de Chimie et Biochimie and Biomolecular Sciences Programme, Laurentian University, Ramsey Lake Road, Sudbury, Ontario, Canada P3E 2C6 (Canada); Department of Physical Chemistry, Uppsala University, A ring ngstroemlaboratoriet, Box 259, S-751 05 Uppsala (Sweden); Tapia, O. [Department of Physical Chemistry, Uppsala University, A ring ngstroemlaboratoriet, Box 259, S-751 05 Uppsala (Sweden)

    2011-07-15

    Chemical transformations are viewed here as quantum processes modulated by external fields, that is, as shifts in reactant to product amplitudes within a quantum state represented by a linear (coherent) superposition of electronuclear basis functions; their electronic quantum numbers identify the ''chemical species.'' This basis set can be mapped from attractors built from a unique electronic configurational space that is invariant with respect to the nuclear geometry. In turn, the quantum numbers that label these basis functions and the semiclassical potentials for the electronic attractors may be used to derive reaction coordinates to monitor progress as a function of the applied field. A generalization of Feynman's three-state model for the ammonia inversion process illustrates the scheme; to enforce symmetry for the entire inversion process model and ensure invariance with respect to nuclear configurations, the three attractors and their basis functions are computed with a grid of fixed floating Gaussian functions. The external-field modulation of the effective inversion barrier is discussed within this conceptual approach. This analysis brings the descriptions of chemical processes near modern technologies that employ molecules to encode information by means of confinement and external fields.

  6. A Technical Review on Biomass Processing: Densification, Preprocessing, Modeling and Optimization

    SciTech Connect (OSTI)

    Jaya Shankar Tumuluru; Christopher T. Wright

    2010-06-01

    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.

  7. 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.

    2015-01-01

    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.

  8. Radio frequency models of novae in eruption. I. The free-free process in bipolar morphologies

    SciTech Connect (OSTI)

    Ribeiro, V. A. R. M.; Simon, T.; Woudt, P. A.; Chomiuk, L.; Munari, U.; Steffen, W.; Koning, N.; O'Brien, T. J.; Bode, M. F.

    2014-09-01

    Observations of novae at radio frequencies provide us with a measure of the total ejected mass, density profile, and kinetic energy of a nova eruption. The radio emission is typically well characterized by the free-free emission process. Most models to date have assumed spherical symmetry for the eruption, although for as long as there have been radio observations of these systems, it has been known that spherical eruptions are too simplistic a geometry. In this paper, we build bipolar models of the nova eruption, assuming the free-free process, and show the effects of varying different parameters on the radio light curves. The parameters considered include the ratio of the minor- to major-axis, the inclination angle, and shell thickness. We also show the uncertainty introduced when fitting spherical-model synthetic light curves to bipolar-model synthetic light curves. We find that the optically thick phase rises with the same power law (S {sub ?}?t {sup 2}) for both the spherical and bipolar models. In the bipolar case, there is a 'plateau' phase—depending on the thickness of the shell as well as the ratio of the minor- to major-axis—before the final decline, which follows the same power law (S {sub ?}?t {sup –3}) as in the spherical case. Finally, fitting spherical models to the bipolar-model synthetic light curves requires, in the worst-case scenario, doubling the ejected mass, more than halving the electron temperature, and reducing the shell thickness by nearly a factor of 10. This implies that in some systems we have been over-predicting the ejected masses and under-predicting the electron temperature of the ejecta.

  9. 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

    2014-04-23

    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).

  10. Wind speed modeled as a semi-Markov process with memory

    E-Print Network [OSTI]

    D'Amico, Guglielmo; Prattico, Flavio

    2012-01-01

    The increasing interest in renewable energy, particularly in wind, has given rise to the necessity of accurate models for the generation of good synthetic wind speed data. Markov chains are often used with this purpose but better models are needed to reproduce the statistical properties of wind speed data. In a previous paper we showed that semi-Markov processes are more appropriate for this purpose but to reach an accurate reproduction of real data features high order model should be used. In this work we introduce an indexed semi-Markov process that is able to fit real data. We downloaded a database, freely available from the web, in which are included wind speed data taken from L.S.I. -Lastem station (Italy) and sampled every 10 minutes. We then generate synthetic time series for wind speed by means of Monte Carlo simulations. The time lagged autocorrelation is then used to compare statistical properties of the proposed model with those of real data and also with a synthetic time series generated though a ...

  11. THE GREEN ALGA CHLAMYDOMONAS REINHARDTII: A NEW MODEL SYSTEM TO UNRAVEL THE ASSEMBLY PROCESS OF RESPIRATORY COMPLEXES

    E-Print Network [OSTI]

    Hamel, Patrice

    THE GREEN ALGA CHLAMYDOMONAS REINHARDTII: A NEW MODEL SYSTEM TO UNRAVEL THE ASSEMBLY PROCESS process. I propose to use the green alga Chlamydomonas reinhardtii as a novel model system to carry out thoughts with a warm cup of tea (I should also extend my gratitude to Birgit Alber, our scientific tea chat

  12. 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

  13. Self-Exciting Point Process Models of Civilian Deaths in Iraq Erik Lewis George Mohler P. Jeffrey Brantingham Andrea Bertozzi

    E-Print Network [OSTI]

    Ferguson, Thomas S.

    Self-Exciting Point Process Models of Civilian Deaths in Iraq Erik Lewis George Mohler P. Jeffrey reports in Iraq. For this purpose we employ a branching point process model similar to those used activity, such an assumption is not valid in the context of civilian deaths in Iraq. We propose three

  14. Time-dependent modeling of radiative processes in hot magnetized plasmas

    E-Print Network [OSTI]

    Indrek Vurm; Juri Poutanen

    2009-03-03

    Numerical simulations of radiative processes in magnetized compact sources such as hot accretion disks around black holes, relativistic jets in active galaxies and gamma-ray bursts are complicated because the particle and photon distributions span many orders of magnitude in energy, they also strongly depend on each other, the radiative processes behave significantly differently depending on the energy regime, and finally due to the enormous difference in the time-scales of the processes. We have developed a novel computer code for the time-dependent simulations that overcomes these problems. The processes taken into account are Compton scattering, electron-positron pair production and annihilation, Coulomb scattering as well as synchrotron emission and absorption. No approximation has been made on the corresponding rates. For the first time, we solve coupled integro-differential kinetic equations for photons and electrons/positrons without any limitations on the photon and lepton energies. A numerical scheme is proposed to guarantee energy conservation when dealing with synchrotron processes in electron and photon equations. We apply the code to model non-thermal pair cascades in the blackbody radiation field, to study the synchrotron self-absorption as particle thermalization mechanism, and to simulate time evolution of stochastically heated pairs and corresponding synchrotron self-Compton photon spectra which might be responsible for the prompt emission of gamma-ray bursts. Good agreement with previous works is found in the parameter regimes where comparison is feasible, with the differences attributable to our improved treatment of the microphysics.

  15. 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.

    2013-05-01

    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.

  16. 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))

    1996-01-01

    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.

  17. 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)

    1995-08-01

    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.

  18. 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)

    1996-12-31

    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.

  19. 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

    2013-07-01

    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)

  20. Physiochemical Evidence of Faulting Processes and Modeling of Fluid in Evolving Fault Systems in Southern California

    SciTech Connect (OSTI)

    Boles, James [Professor

    2013-05-24

    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.

  1. Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring

    E-Print Network [OSTI]

    Ryan, Sarah M.

    Process and Continuous Monitoring Index terms--Optimal replacement, proportional hazards model, semi1 Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate replacement problem for general deteriorating systems in the proportional hazards model with a semi

  2. 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)

    2009-01-15

    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.

  3. Heat transfer modelling of the saltstone pouring and curing process. Task Number: 93-016-0

    SciTech Connect (OSTI)

    Shadday, M.A. Jr.

    1993-11-01

    A byproduct of the in tank precipitation, ITP, process will be 25 million gallons of low-level salt solution. This salt solution will be mixed with cement and a flyash/slag mixture and solidified in surface vaults in the Z-area Saltstone Facility. The curing process of saltstone involves exothermic reactions, and there is a maximum temperature limit of 90{degree}C for the curing saltstone. If this temperature limit is exceeded, the physical properties of the saltstone can be degraded. A heat transfer model of the saltstone pouring and curing process has been developed that predicts transient temperature distributions in the curing saltstone. The purpose of this model is to predict peak temperatures as functions of the several independent variables in this process: pour temperature, the pour schedule, and seasonal variations in the ambient temperature. The peak temperature of the saltstone is very sensitive to the internal heat generation that accompanies the curing process. Most of the energy is released over a short period of several hours, and the balance is released slowly over a period of time that can be in excess of a month. This long term low level internal heat generation is difficult to measure in laboratory calorimetry tests, and it can significantly influence the peak temperature in the saltstone. Due to the low thermal conductivity of the saltstone, the central region of the poured saltstone will essentially heat up adiabatically. The time dependence of the internal heat generation rate was determined from an analysis of the 1991 pilot pour test. With a pour schedule of eight hours a day and five days a week in the summer, the model predicts that the saltstone will have a peak temperature of 98 C with a pour temperature of 45 C, and a peak temperature of 88 C with a pour temperature of 30 C. With a pour schedule of three days a week, the peak temperature will be 88{degree}C with a pour temperature of 45 C, and 80 C with a pour temperature of 30 C.

  4. 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

    2015-01-01

    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...

  5. 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)

    2012-04-15

    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.

  6. 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.

    2002-02-21

    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.

  7. Gaussian Process Model for Extrapolation of Scattering Observables for Complex Molecules: from Benzene to Benzonitrile

    E-Print Network [OSTI]

    Cui, Jie; Krems, Roman V

    2015-01-01

    We consider a problem of extrapolating the collision properties of a large polyatomic molecule A-H to make predictions of the dynamical properties for another molecule related to A-H by the substitution of the H atom with a small molecular group X, without explicitly computing the potential energy surface for A-X. We assume that the effect of the $-$H $\\rightarrow$ $-$X substitution is embodied in a multidimensional function with unknown parameters characterizing the change of the potential energy surface. We propose to apply the Gaussian Process model to determine the dependence of the dynamical observables on the unknown parameters. This can be used to produce an interval of the observable values that corresponds to physical variations of the potential parameters. We show that the Gaussian Process model combined with classical trajectory calculations can be used to obtain the dependence of the cross sections for collisions of C$_6$H$_5$CN with He on the unknown parameters describing the interaction of the H...

  8. Abstract. The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration

    E-Print Network [OSTI]

    Brown, Daniel G.

    process and data models: Toward integration of agent-based models and GIS Daniel G. Brown1,3 , Rick Riolo3Abstract. The use of object-orientation for both spatial data and spatial process models (fields and objects) and agent-based process models can interact: identity, causal, temporal

  9. Solar neutrino processes in the relativistic field theory model of the deuteron

    E-Print Network [OSTI]

    A. N. Ivanov; H. Oberhummer; N. I. Troitskaya; M. Faber

    1998-11-04

    The generalized version of the relativistic field theory model of the deuteron (RFMD) is applied to the description of processes of astrophysical interest and low-energy elastic NN scattering. The value of the astrophysical factor S_{pp}(0) = 5.52x10^{-25} MeV b is found to be enhanced by a factor of 1.42 with respect to the classical value S^*_{pp}(0) = 3.89x10{-25} MeV b obtained by Kamionkowski and Bahcall in the potential model approach (PMA). The astrophysical aspects of this enhancement are discussed. The cross sections for the disintegration of the deuteron by (anti-) neutrinos nu_e + D -> e^- + p + p, anti-nu_e + D -> e^+ + n + n and nu_e(anti-nu_e) + D -> nu_e(anti-nu_e) + n + p are calculated for the energies of (anti-) neutrinos ranging from thresholds up to 10 MeV. The results are discussed in comparison with the PMA data. The cross sections for anti-nu_e + D -> e^+ + n + n and anti-nu_e + D -> anti-nu_e + n + p averaged over the reactor anti-neutrino energy spectrum agree well with experimental data. The astrophysical factor S_{pep}(0) for the process p + e^- + p -> nu_e + D (or pep-process) is calculated relative to S_{pp}(0) in complete agreement with the result obtained by Bahcall and May. The reaction rate for the neutron-proton radiative capture is calculated in agreement with the PMA result obtained for pure M1 transition. It is shown that in the RFMD one can describe low--energy elastic NN scattering in complete agreement with low-energy nuclear phenomenology.

  10. Stochastic dynamics of small ensembles of non-processive molecular motors: The parallel cluster model

    SciTech Connect (OSTI)

    Erdmann, Thorsten; Albert, Philipp J.; Schwarz, Ulrich S.

    2013-11-07

    Non-processive molecular motors have to work together in ensembles in order to generate appreciable levels of force or movement. In skeletal muscle, for example, hundreds of myosin II molecules cooperate in thick filaments. In non-muscle cells, by contrast, small groups with few tens of non-muscle myosin II motors contribute to essential cellular processes such as transport, shape changes, or mechanosensing. Here we introduce a detailed and analytically tractable model for this important situation. Using a three-state crossbridge model for the myosin II motor cycle and exploiting the assumptions of fast power stroke kinetics and equal load sharing between motors in equivalent states, we reduce the stochastic reaction network to a one-step master equation for the binding and unbinding dynamics (parallel cluster model) and derive the rules for ensemble movement. We find that for constant external load, ensemble dynamics is strongly shaped by the catch bond character of myosin II, which leads to an increase of the fraction of bound motors under load and thus to firm attachment even for small ensembles. This adaptation to load results in a concave force-velocity relation described by a Hill relation. For external load provided by a linear spring, myosin II ensembles dynamically adjust themselves towards an isometric state with constant average position and load. The dynamics of the ensembles is now determined mainly by the distribution of motors over the different kinds of bound states. For increasing stiffness of the external spring, there is a sharp transition beyond which myosin II can no longer perform the power stroke. Slow unbinding from the pre-power-stroke state protects the ensembles against detachment.

  11. Stochastic dynamics of small ensembles of non-processive molecular motors: the parallel cluster model

    E-Print Network [OSTI]

    Thorsten Erdmann; Philipp J. Albert; Ulrich S. Schwarz

    2013-10-17

    Non-processive molecular motors have to work together in ensembles in order to generate appreciable levels of force or movement. In skeletal muscle, for example, hundreds of myosin II molecules cooperate in thick filaments. In non-muscle cells, by contrast, small groups with few tens of non-muscle myosin II motors contribute to essential cellular processes such as transport, shape changes or mechanosensing. Here we introduce a detailed and analytically tractable model for this important situation. Using a three-state crossbridge model for the myosin II motor cycle and exploiting the assumptions of fast power stroke kinetics and equal load sharing between motors in equivalent states, we reduce the stochastic reaction network to a one-step master equation for the binding and unbinding dynamics (parallel cluster model) and derive the rules for ensemble movement. We find that for constant external load, ensemble dynamics is strongly shaped by the catch bond character of myosin II, which leads to an increase of the fraction of bound motors under load and thus to firm attachment even for small ensembles. This adaptation to load results in a concave force-velocity relation described by a Hill relation. For external load provided by a linear spring, myosin II ensembles dynamically adjust themselves towards an isometric state with constant average position and load. The dynamics of the ensembles is now determined mainly by the distribution of motors over the different kinds of bound states. For increasing stiffness of the external spring, there is a sharp transition beyond which myosin II can no longer perform the power stroke. Slow unbinding from the pre-power-stroke state protects the ensembles against detachment.

  12. A process for evaluation and state approval of an emergency response atmospheric dispersion model for Rocky Flats, Colorado

    SciTech Connect (OSTI)

    Hodgin, C.R.

    1991-11-06

    This document contains copies of the vugraphs used by C. R. Hodgin for the November 6, 1991 presentation summarizing the process to be used for evaluation of the Emergency Response Dispersion Model. (MHB)

  13. Distributed Model Predictive Control of Nonlinear and Two-Time-Scale Process Networks

    E-Print Network [OSTI]

    Chen, Xianzhong

    2012-01-01

    the economic optimization and process control layer. Inoptimization and control for intentionally transient processpredictive control and optimization of processes : Enabling

  14. Integrating Remote Sensing, Field Observations, and Models to Understand Disturbance and Climate Effects on the Carbon Balance of the West Coast U.S.

    SciTech Connect (OSTI)

    B.E. Law; D. Turner; M. Goeckede

    2010-06-01

    GOAL: To develop and apply an approach to quantify and understand the regional carbon balance of the west coast states for the North American Carbon Program. OBJECTIVE: As an element of NACP research, the proposed investigation is a two pronged approach that derives and evaluates a regional carbon (C) budget for Oregon, Washington, and California. Objectives are (1) Use multiple data sources, including AmeriFlux data, inventories, and multispectral remote sensing data to investigate trends in carbon storage and exchanges of CO2 and water with variation in climate and disturbance history; (2) Develop and apply regional modeling that relies on these multiple data sources to reduce uncertainty in spatial estimates of carbon storage and NEP, and relative contributions of terrestrial ecosystems and anthropogenic emissions to atmospheric CO2 in the region; (3) Model terrestrial carbon processes across the region, using the Biome-BGC terrestrial ecosystem model, and an atmospheric inverse modeling approach to estimate variation in rate and timing of terrestrial uptake and feedbacks to the atmosphere in response to climate and disturbance. APPROACH: In performing the regional analysis, the research plan for the bottom-up approach uses a nested hierarchy of observations that include AmeriFlux data (i.e., net ecosystem exchange (NEE) from eddy covariance and associated biometric data), intermediate intensity inventories from an extended plot array partially developed from the PI's previous research, Forest Service FIA and CVS inventory data, time since disturbance, disturbance type, and cover type from Landsat developed in this study, and productivity estimates from MODIS algorithms. The BIOME-BGC model is used to integrate information from these sources and quantify C balance across the region. The inverse modeling approach assimilates flux data from AmeriFlux sites, high precision CO2 concentration data from AmeriFlux towers and four new calibrated CO2 sites, reanalysis meteorology and various remote sensing products to generate statewide estimates of biosphere carbon exchange from the atmospheric point of view.

  15. Modeling Ion-Exchange Processing With Spherical Resins For Cesium Removal

    SciTech Connect (OSTI)

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

    2012-09-19

    The spherical Resorcinol-Formaldehyde and hypothetical spherical SuperLig(r) 644 ion-exchange resins are evaluated for cesium removal from radioactive waste solutions. Modeling results show that spherical SuperLig(r) 644 reduces column cycling by 50% for high-potassium solutions. Spherical Resorcinol Formaldehyde performs equally well for the lowest-potassium wastes. Less cycling reduces nitric acid usage during resin elution and sodium addition during resin regeneration, therefore, significantly decreasing life-cycle operational costs. A model assessment of the mechanism behind ''cesium bleed'' is also conducted. When a resin bed is eluted, a relatively small amount of cesium remains within resin particles. Cesium can bleed into otherwise decontaminated product in the next loading cycle. The bleed mechanism is shown to be fully isotherm-controlled vs. mass transfer controlled. Knowledge of residual post-elution cesium level and resin isotherm can be utilized to predict rate of cesium bleed in a mostly non-loaded column. Overall, 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. This evaluation justifies further development of a spherical form of the SL644 resin.

  16. 4 th World Congress on Industrial Process Tomography, Aizu, Japan Modelling and predicting flow regimes using wavelet

    E-Print Network [OSTI]

    Aykroyd, Robert G.

    4 th World Congress on Industrial Process Tomography, Aizu, Japan Modelling and predicting flow of Statistics, University of Leeds, Leeds, LS2 9JT, UK, robert@maths.leeds.ac.uk ABSTRACT The aim of industrial without intruding into the industrial process, but produce highly correlated and noisy data, and hence

  17. 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

  18. A study on the background and clustering seismicity in the Taiwan region by using point process models

    E-Print Network [OSTI]

    Chen, Yuh-Ing

    A study on the background and clustering seismicity in the Taiwan region by using point process), A study on the background and clustering seismicity in the Taiwan region by using point process models, J the shallow seismicity occurring in the Taiwan region during the 20th century using a stochastic declustering

  19. ACCEPTED IN IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. XX, NO. XX, 2004 1 Damped and Delayed Sinusoidal Model for

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    [15], source localization [22], biomedical signal processing [25] and audio signal compression [2ACCEPTED IN IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. XX, NO. XX, 2004 1 Damped and Delayed Sinusoidal Model for Transient Signals R´emy Boyer and Karim Abed-Meraim Abstract-- In this work, we present

  20. 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